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Frank Schorfheide

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Blog mentions

As found by EconAcademics.org, the blog aggregator for Economics research:
  1. S. Boragan Aruoba & Francis X. Diebold & Jeremy Nalewaik & Frank Schorfheide & Dongho Song, 2011. "Improving GDP Measurement: A Forecast Combination Perspective," NBER Working Papers 17421, National Bureau of Economic Research, Inc.

    Mentioned in:

    1. Better GDP estimates
      by Economic Logician in Economic Logic on 2011-10-12 19:28:00
  2. Marco Del Negro & Frank Schorfheide, 2012. "DSGE model-based forecasting," Staff Reports 554, Federal Reserve Bank of New York.

    Mentioned in:

    1. What caused the Great Recession ?
      by Robert in Robert's Stochastic Thoughts on 2015-11-24 03:41:00
  3. Yongsung Chang & Sun-Bin Kim & Frank Schorfheide, 2011. "Labor-Market Heterogeneity, Aggregation, and the Policy-(In)variance of DSGE Model Parameters," RCER Working Papers 566, University of Rochester - Center for Economic Research (RCER).

    Mentioned in:

    1. Labor-Market Heterogeneity, Aggregation, and the Policy-(In)variance of DSGE Model Parameters
      by Christian Zimmermann in NEP-DGE blog on 2011-10-03 18:18:34
  4. Yongsung Chang & Sun-Bin Kim & Frank Schorfheide, 2010. "Labor-Market Heterogeneity, Aggregation, and the Lucas Critique," RCER Working Papers 556, University of Rochester - Center for Economic Research (RCER).

    Mentioned in:

    1. Labor-Market Heterogeneity, Aggregation, and the Lucas Critique
      by Christian Zimmermann in NEP-DGE blog on 2010-10-08 08:16:08
  5. Marco Del Negro & Raiden B. Hasegawa & Frank Schorfheide, 2014. "Dynamic Prediction Pools: An Investigation of Financial Frictions and Forecasting Performance," PIER Working Paper Archive 14-034, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.

    Mentioned in:

    1. Dynamic Prediction Pools: An Investigation of Financial Frictions and Forecasting Performance
      by Christian Zimmermann in NEP-DGE blog on 2014-11-05 21:21:13
  6. Schorfheide, Frank & An, Sungbae, 2005. "Bayesian Analysis of DSGE Models," CEPR Discussion Papers 5207, C.E.P.R. Discussion Papers.

    Mentioned in:

    1. Buiter, good macro critic?
      by pushmedia1 in The Ambrosini Critique on 2009-03-04 10:59:20
    2. The Statistical Implications of Common Identifying Restrictions for DSGE Models
      by Christian Zimmermann in NEP-DGE blog on 2015-02-05 22:29:18
  7. Marco Del Negro & Marc P. Giannoni & Frank Schorfheide, 2015. "Inflation in the Great Recession and New Keynesian Models," American Economic Journal: Macroeconomics, American Economic Association, vol. 7(1), pages 168-196, January.

    Mentioned in:

    1. The Phillips Curve and Inflation
      by thebusinesscycleblog in The business cycle blog on 2016-05-21 23:08:29
  8. Cristina Fuentes-Albero & Maxym Kryshko & José-Víctor Ríos-Rull & Raul Santaeulalia-Llopis & Frank Schorfheide, 2009. "Methods versus substance: measuring the effects of technology shocks on hours," Staff Report 433, Federal Reserve Bank of Minneapolis.

    Mentioned in:

    1. Technology shocks and hours: it is the identification, stupid!
      by Economic Logician in Economic Logic on 2009-10-13 19:05:00
  9. Sungbae An & Frank Schorfheide, 2007. "Bayesian Analysis of DSGE Models," Econometric Reviews, Taylor & Francis Journals, vol. 26(2-4), pages 113-172.

    Mentioned in:

    1. Buiter, good macro critic?
      by pushmedia1 in The Ambrosini Critique on 2009-03-04 10:59:20
    2. The Statistical Implications of Common Identifying Restrictions for DSGE Models
      by Christian Zimmermann in NEP-DGE blog on 2015-02-05 22:29:18
  10. Aruoba, S. Borağan & Diebold, Francis X. & Nalewaik, Jeremy & Schorfheide, Frank & Song, Dongho, 2016. "Improving GDP measurement: A measurement-error perspective," Journal of Econometrics, Elsevier, vol. 191(2), pages 384-397.

    Mentioned in:

    1. Is the economy growing? Depends on how you measure it : GDP vs. GDI
      by ? in FRED blog on 2022-09-01 13:00:00

RePEc Biblio mentions

As found on the RePEc Biblio, the curated bibliography of Economics:
  1. Frank Schorfheide & Dongho Song, 2020. "Real-Time Forecasting with a (Standard) Mixed-Frequency VAR During a Pandemic," PIER Working Paper Archive 20-039, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.

    Mentioned in:

    1. > Economics of Welfare > Health Economics > Economics of Pandemics > Consequences > Macroeconomic
  2. Del Negro, Marco & Hasegawa, Raiden B. & Schorfheide, Frank, 2016. "Dynamic prediction pools: An investigation of financial frictions and forecasting performance," Journal of Econometrics, Elsevier, vol. 192(2), pages 391-405.

    Mentioned in:

    1. > Schools of Economic Thought, Epistemology of Economics > Economic Methodology > Dynamic Stochastic General Equilibrium > Estimated DSGE Models > Forecasting with DSGE Models
  3. Thomas A. Lubik & Frank Schorfheide, 2004. "Testing for Indeterminacy: An Application to U.S. Monetary Policy," American Economic Review, American Economic Association, vol. 94(1), pages 190-217, March.

    Mentioned in:

    1. > Schools of Economic Thought, Epistemology of Economics > Economic Methodology > Dynamic Stochastic General Equilibrium > Estimated DSGE Models
  4. Liu, Laura & Moon, Hyungsik Roger & Schorfheide, Frank, 2021. "Panel forecasts of country-level Covid-19 infections," Journal of Econometrics, Elsevier, vol. 220(1), pages 2-22.

    Mentioned in:

    1. > Economics of Welfare > Health Economics > Economics of Pandemics > Specific pandemics > Covid-19 > Health > Measurement
  5. Negro, Marco Del & Schorfheide, Frank, 2013. "DSGE Model-Based Forecasting," Handbook of Economic Forecasting, in: G. Elliott & C. Granger & A. Timmermann (ed.), Handbook of Economic Forecasting, edition 1, volume 2, chapter 0, pages 57-140, Elsevier.

    Mentioned in:

    1. > Schools of Economic Thought, Epistemology of Economics > Economic Methodology > Dynamic Stochastic General Equilibrium > Estimated DSGE Models > Forecasting with DSGE Models
  6. Del Negro, Marco & Schorfheide, Frank & Smets, Frank & Wouters, Rafael, 2007. "On the Fit of New Keynesian Models," Journal of Business & Economic Statistics, American Statistical Association, vol. 25, pages 123-143, April.

    Mentioned in:

    1. > Schools of Economic Thought, Epistemology of Economics > Economic Methodology > Dynamic Stochastic General Equilibrium > Estimated DSGE Models
    2. > Schools of Economic Thought, Epistemology of Economics > Economic Methodology > Dynamic Stochastic General Equilibrium > Estimated DSGE Models > Forecasting with DSGE Models
  7. Marco Del Negro & Frank Schorfheide, 2004. "Priors from General Equilibrium Models for VARS," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 45(2), pages 643-673, May.

    Mentioned in:

    1. > Schools of Economic Thought, Epistemology of Economics > Economic Methodology > Dynamic Stochastic General Equilibrium > Estimated DSGE Models
    2. > Econometrics > Time Series Models > VAR Models > Bayesian Vector autoregressions (BVARs)
  8. Edward P. Herbst & Frank Schorfheide, 2016. "Bayesian Estimation of DSGE Models," Economics Books, Princeton University Press, edition 1, number 10612.

    Mentioned in:

    1. > Schools of Economic Thought, Epistemology of Economics > Economic Methodology > Dynamic Stochastic General Equilibrium > Estimated DSGE Models
  9. Frank Schorfheide & Dongho Song, 2015. "Real-Time Forecasting With a Mixed-Frequency VAR," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 33(3), pages 366-380, July.

    Mentioned in:

    1. > Econometrics > Time Series Models > VAR Models > Bayesian Vector autoregressions (BVARs)
  10. Frank Schorfheide, 2000. "Loss function-based evaluation of DSGE models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 15(6), pages 645-670.

    Mentioned in:

    1. > Schools of Economic Thought, Epistemology of Economics > Economic Methodology > Dynamic Stochastic General Equilibrium > Estimated DSGE Models
  11. Sungbae An & Frank Schorfheide, 2007. "Bayesian Analysis of DSGE Models," Econometric Reviews, Taylor & Francis Journals, vol. 26(2-4), pages 113-172.

    Mentioned in:

    1. > Schools of Economic Thought, Epistemology of Economics > Economic Methodology > Dynamic Stochastic General Equilibrium > Solution Methods for DSGE models

Wikipedia or ReplicationWiki mentions

(Only mentions on Wikipedia that link back to a page on a RePEc service)
  1. S Borağan Aruoba & Pablo Cuba-Borda & Frank Schorfheide, 2018. "Macroeconomic Dynamics Near the ZLB: A Tale of Two Countries," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 85(1), pages 87-118.

    Mentioned in:

    1. Macroeconomic Dynamics Near the ZLB: A Tale of Two Countries (REStud 2018) in ReplicationWiki ()
  2. Yongsung Chang & Joao F. Gomes & Frank Schorfheide, 2002. "Learning-by-Doing as a Propagation Mechanism," American Economic Review, American Economic Association, vol. 92(5), pages 1498-1520, December.

    Mentioned in:

    1. Learning-by-Doing as a Propagation Mechanism (AER 2002) in ReplicationWiki ()
  3. Frank Schorfheide, 2000. "Loss function-based evaluation of DSGE models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 15(6), pages 645-670.

    Mentioned in:

    1. Loss function-based evaluation of DSGE models (Journal of Applied Econometrics 2000) in ReplicationWiki ()
  4. Marco Del Negro & Marc P. Giannoni & Frank Schorfheide, 2015. "Inflation in the Great Recession and New Keynesian Models," American Economic Journal: Macroeconomics, American Economic Association, vol. 7(1), pages 168-196, January.

    Mentioned in:

    1. Inflation in the Great Recession and New Keynesian Models (AEJ:MA 2015) in ReplicationWiki ()
  5. S. Boragan Aruoba & Frank Schorfheide, 2011. "Sticky Prices versus Monetary Frictions: An Estimation of Policy Trade-Offs," American Economic Journal: Macroeconomics, American Economic Association, vol. 3(1), pages 60-90, January.

    Mentioned in:

    1. Sticky Prices versus Monetary Frictions: An Estimation of Policy Trade-Offs (AEJ:MA 2011) in ReplicationWiki ()

Working papers

  1. Oriol Gonz'alez-Casas'us & Frank Schorfheide, 2025. "Misspecification-Robust Shrinkage and Selection for VAR Forecasts and IRFs," Papers 2502.03693, arXiv.org.

    Cited by:

    1. Christiane Baumeister, 2025. "Comment on "Local Projections or VARs? A Primer for Macroeconomists"," NBER Chapters, in: NBER Macroeconomics Annual 2025, volume 40, National Bureau of Economic Research, Inc.

  2. Minsu Chang & Frank Schorfheide, 2024. "On the Effects of Monetary Policy Shocks on Income and Consumption Heterogeneity," NBER Working Papers 32166, National Bureau of Economic Research, Inc.

    Cited by:

    1. Florian Huber & Massimiliano Marcellino & Tommaso Tornese, 2024. "The Distributional Effects of Economic Uncertainty," Papers 2411.12655, arXiv.org.

  3. Xu Cheng & Frank Schorfheide & Peng Shao, 2023. "Clustering for Multi-Dimensional Heterogeneity with an Application to Production Function Estimation," PIER Working Paper Archive 23-016, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.

    Cited by:

    1. Han, Qingyang, 2024. "Estimating labor market monopsony power from a forward-looking perspective," Economics Letters, Elsevier, vol. 244(C).

  4. Timothy Christensen & Hyungsik Roger Moon & Frank Schorfheide, 2022. "Optimal Decision Rules when Payoffs are Partially Identified," Papers 2204.11748, arXiv.org, revised May 2025.

    Cited by:

    1. Gyungbae Park, 2024. "Debiased Machine Learning when Nuisance Parameters Appear in Indicator Functions," Papers 2403.15934, arXiv.org, revised Mar 2025.
    2. Toru Kitagawa & Sokbae Lee & Chen Qiu, 2023. "Treatment Choice, Mean Square Regret and Partial Identification," Papers 2310.06242, arXiv.org.

  5. Marko Mlikota & Frank Schorfheide, 2022. "Sequential Monte Carlo With Model Tempering," Papers 2202.07070, arXiv.org.

    Cited by:

    1. Marko Mlikota, 2022. "Cross-Sectional Dynamics Under Network Structure: Theory and Macroeconomic Applications," Papers 2211.13610, arXiv.org, revised Sep 2025.

  6. S. Bogan Aruoba & Pablo Cuba-Borda & Kenji Higa-Flores & Frank Schorfheide & Sergio Villalvazo, 2021. "Online Appendix to "Piecewise-Linear Approximations and Filtering for DSGE Models with Occasionally Binding Constraints"," Online Appendices 20-14, Review of Economic Dynamics.

    Cited by:

    1. Jean-Guillaume Sahuc & Loick Dubois & Gauthier Vermandel, 2025. "A General Equilibrium Approach to Carbon Permit Banking," Working Papers hal-04861311, HAL.
    2. Sophocles Mavroeidis, 2021. "Identification at the Zero Lower Bound," Econometrica, Econometric Society, vol. 89(6), pages 2855-2885, November.
    3. Schorfheide, Frank & Aruoba, Boragan & Mlikota, Marko & Villalvazo, Sergio, 2021. "SVARs With Occasionally-Binding Constraints," CEPR Discussion Papers 15923, C.E.P.R. Discussion Papers.
    4. Enrique Mendoza & Sergio Villalvazo, 2020. "FiPIt: A Simple, Fast Global Method for Solving Models with Two Endogenous States & Occasionally Binding Constraints," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 37, pages 81-102, July.
    5. Hanno Kase & Leonardo Melosi & Matthias Rottner, 2025. "Estimating nonlinear heterogeneous agent models with neural networks," BIS Working Papers 1241, Bank for International Settlements.
    6. Villalvazo, Sergio, 2024. "FDI flows and sudden stops in small open economies," Journal of Macroeconomics, Elsevier, vol. 79(C).
    7. Ascari, Guido & Mavroeidis, Sophocles, 2022. "The unbearable lightness of equilibria in a low interest rate environment," Journal of Monetary Economics, Elsevier, vol. 127(C), pages 1-17.
    8. Daisuke Ikeda & Shangshang Li & Sophocles Mavroeidis & Francesco Zanetti, 2020. "Testing the effectiveness of unconventional monetary policy in Japan and the United States," Papers 2012.15158, arXiv.org, revised Nov 2023.
    9. Boehl, Gregor & Strobel, Felix, 2024. "Estimation of DSGE models with the effective lower bound," Journal of Economic Dynamics and Control, Elsevier, vol. 158(C).
    10. Matthias Rottner, 2021. "Financial Crises and Shadow Banks: A Quantitative Analysis," Economics Working Papers EUI ECO 2021/02, European University Institute.
    11. Damioli, Giacomo & Gregori, Wildmer Daniel, 2021. "Diplomatic relations and cross-border investments in the European Union," JRC Working Papers in Economics and Finance 2021-02, Joint Research Centre, European Commission.
    12. Luisa Corrado & Stefano Grassi & Aldo Paolillo, 2021. "Modelling and Estimating Large Macroeconomic Shocks During the Pandemic," CREATES Research Papers 2021-08, Department of Economics and Business Economics, Aarhus University.
    13. Andrea Carriero & Todd E. Clark & Massimiliano Marcellino & Elmar Mertens, 2021. "Forecasting with Shadow-Rate VARs," Working Papers 21-09, Federal Reserve Bank of Cleveland.
    14. Giovannini, Massimo & Pfeiffer, Philipp & Ratto, Marco, 2021. "Efficient and robust inference of models with occasionally binding constraints," JRC Working Papers in Economics and Finance 2021-03, Joint Research Centre, European Commission.
    15. Harding, Martín & Lindé, Jesper & Trabandt, Mathias, 2022. "Resolving the missing deflation puzzle," Journal of Monetary Economics, Elsevier, vol. 126(C), pages 15-34.
    16. Leonardo Melosi & Giorgio Primiceri & Andrea Tambalotti, 2021. "Introduction to the Special Issue in Memory of Alejandro Justiniano," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 41, pages 1-3, July.
    17. Wen, Jianghui & Hong, Lijiang & Dai, Min & Xiao, Xinping & Wu, Chaozhong, 2023. "A stochastic model for stop-and-go phenomenon in traffic oscillation: On the prospective of macro and micro traffic flow," Applied Mathematics and Computation, Elsevier, vol. 440(C).
    18. Dominik Hecker & Maik Wolters & Maik H. Wolters, 2025. "Nonlinear Estimation of a New Keynesian Model with Endogenous Inflation De-Anchoring," CESifo Working Paper Series 12280, CESifo.
    19. Carriero, Andrea & Clark, Todd E. & Marcellino, Massimiliano & Mertens, Elmar, 2023. "Shadow-rate VARs," Discussion Papers 14/2023, Deutsche Bundesbank.
    20. Ascari, Guido & Mavroeidis, Sophocles & McClung, Nigel, 2023. "Coherence without rationality at the zero lower bound," Journal of Economic Theory, Elsevier, vol. 214(C).
    21. James A. Duffy & Sophocles Mavroeidis & Sam Wycherley, 2022. "Cointegration with Occasionally Binding Constraints," Papers 2211.09604, arXiv.org, revised Sep 2025.
    22. Luisa Corrado & Stefano Grassi & Aldo Paolillo, 2021. "Identifying Economic Shocks in a Rare Disaster Environment," CEIS Research Paper 517, Tor Vergata University, CEIS, revised 18 Jul 2024.
    23. Andras Fulop & Jeremy Heng & Junye Li, 2022. "Efficient Likelihood-based Estimation via Annealing for Dynamic Structural Macrofinance Models," Papers 2201.01094, arXiv.org.
    24. Calo, Silvia & Gregori, Wildmer Daniel & Petracco Giudici, Marco & Rancan, Michela, 2021. "Has the Comprehensive Assessment made the European financial system more resilient?," JRC Working Papers in Economics and Finance 2021-08, Joint Research Centre, European Commission.

  7. Laura Liu & Hyungsik Roger Moon & Frank Schorfheide, 2021. "Forecasting with a Panel Tobit Model," Papers 2110.14117, arXiv.org, revised Jul 2022.

    Cited by:

    1. Laura Liu & Hyungsik Roger Moon & Frank Schorfheide, 2019. "Forecasting with a Panel Tobit Model," CAEPR Working Papers 2019-005, Center for Applied Economics and Policy Research, Department of Economics, Indiana University Bloomington.
    2. Chen, Mo & Xue, Wei-Xian & Zhao, Xin-Xin & Chang, Chun-Ping & Liu, Xiaoxia, 2024. "The impact of economic sanctions on the COVID-19 pandemic," Economic Analysis and Policy, Elsevier, vol. 82(C), pages 163-174.
    3. Timothy B. Armstrong & Michal Kolesár & Mikkel Plagborg-Møller, 2022. "Robust Empirical Bayes Confidence Intervals," Working Papers 2022-27, Princeton University. Economics Department..
    4. Hyeongwoo Kim & Jisoo Son, 2023. "What Charge-Off Rates Are Predictable by Macroeconomic Latent Factors?," Auburn Economics Working Paper Series auwp2023-06, Department of Economics, Auburn University.
    5. Antonio Pacifico, 2023. "Obesity and labour market outcomes in Italy: a dynamic panel data evidence with correlated random effects," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 24(4), pages 557-574, June.
    6. Liu, Laura & Moon, Hyungsik Roger & Schorfheide, Frank, 2021. "Panel forecasts of country-level Covid-19 infections," Journal of Econometrics, Elsevier, vol. 220(1), pages 2-22.
    7. Xin Sheng & Rangan Gupta & Qiang Ji, 2020. "Forecasting Charge-Off Rates with a Panel Tobit Model: The Role of Uncertainty," Working Papers 202092, University of Pretoria, Department of Economics.
    8. Kim, Dohan, 2025. "The Asymmetric Bank Distress Amplifier of Recessions," Policy Research Working Paper Series 11170, The World Bank.
    9. Bykhovskaya, Anna & Duffy, James A., 2024. "The local to unity dynamic Tobit model," Journal of Econometrics, Elsevier, vol. 241(2).
    10. Boyuan Zhang, 2020. "Forecasting with Bayesian Grouped Random Effects in Panel Data," Papers 2007.02435, arXiv.org, revised Oct 2020.
    11. Anna Bykhovskaya & James A. Duffy, 2022. "The Local to Unity Dynamic Tobit Model," Papers 2210.02599, arXiv.org, revised May 2024.
    12. Zuoxiang Zhao & Hongjun Sun & Ding Han & Qiuyun Zhao, 2023. "Development strategy, technological progress, and regional environmental performance: empirical evidence from China," Economic Change and Restructuring, Springer, vol. 56(5), pages 3701-3732, October.
    13. Brezigar-Masten, Arjana & Masten, Igor & Volk, Matjaž, 2021. "Modelin-g credit risk with a Tobit model of days past due," Journal of Banking & Finance, Elsevier, vol. 122(C).
    14. Kim, Dohan & Sohn, Wook, 2024. "Loan growth and quality over the credit cycle," International Review of Economics & Finance, Elsevier, vol. 95(C).
    15. Timmermann, Allan & Zhu, Yinchu, 2019. "Comparing Forecasting Performance with Panel Data," CEPR Discussion Papers 13746, C.E.P.R. Discussion Papers.
    16. James A. Duffy & Sophocles Mavroeidis & Sam Wycherley, 2022. "Cointegration with Occasionally Binding Constraints," Papers 2211.09604, arXiv.org, revised Sep 2025.
    17. Antonio Pacifico, 2025. "High-Dimensional Dynamic Panel with Correlated Random Effects: A Semiparametric Hierarchical Empirical Bayes Approach," Computational Economics, Springer;Society for Computational Economics, vol. 66(1), pages 869-902, July.
    18. Qu, Ritong & Timmermann, Allan & Zhu, Yinchu, 2023. "Comparing forecasting performance in cross-sections," Journal of Econometrics, Elsevier, vol. 237(2).

  8. Schorfheide, Frank & Chang, Minsu & Chen, Xiaohong, 2021. "Heterogeneity and Aggregate Fluctuations," CEPR Discussion Papers 16183, C.E.P.R. Discussion Papers.

    Cited by:

    1. Yoosoon Chang & Fabio Gomez-Rodriguez & Christian Matthes, 2023. "The Influence of Fiscal and Monetary Policies on the Shape of the Yield Curve," CAMA Working Papers 2023-65, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    2. Yoosoon Chang & Ana María Herrera & Elena Pesavento, 2023. "Oil prices uncertainty, endogenous regime switching, and inflation anchoring," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 38(6), pages 820-839, September.
    3. Dong, Chaohua & Chen, Rong & Xiao, Zhijie & Liu, Weiyi, 2024. "Functional quantile autoregression," Journal of Econometrics, Elsevier, vol. 244(2).
    4. Yoosoon Chang & Soyoung Kim & Joon Park, 2025. "How Do Macroaggregates and Income Distribution Interact Dynamically? A Novel Structural Mixed Autoregression with Aggregate and Functional Variables," CAEPR Working Papers 2025-002 Classification- , Center for Applied Economics and Policy Research, Department of Economics, Indiana University Bloomington.
    5. Yoosoon Chang & Yongok Choi & Chang Sik Kim & J. Isaac Miller & Joon Y. Park, 2024. "Common Trends and Country Specific Heterogeneities in Long-Run World Energy Consumption," CAMA Working Papers 2024-04, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    6. Denis Koshelev & Alexey Ponomarenko & Sergei Seleznev, 2023. "Amortized Neural Networks for Agent-Based Model Forecasting," Bank of Russia Working Paper Series wps115, Bank of Russia.
    7. Bilbiie, F. & Primiceri, G. E. & Tambalotti, A., 2022. "Inequality and Business Cycles," Cambridge Working Papers in Economics 2275, Faculty of Economics, University of Cambridge.
    8. Hilde C. Bjørnland & Yoosoon Chang & Jamie L. Cross, 2023. "Oil and the Stock Market Revisited: A mixed functional VAR approach," Working Papers No 03/2023, Centre for Applied Macro- and Petroleum economics (CAMP), BI Norwegian Business School.
    9. Matthew D. Cocci & Mikkel Plagborg-Møller, 2021. "Standard Errors for Calibrated Parameters," Working Papers 2021-20, Princeton University. Economics Department..
    10. Stephanie Ettmeier, 2022. "No Taxation without Reallocation: The Distributional Effects of Tax Changes," Discussion Papers of DIW Berlin 2022, DIW Berlin, German Institute for Economic Research.
    11. Pesce, Simone & Errico, Marco & Pollio, Luigi, 2025. "Nonlinearities and heterogeneity in firms response to aggregate fluctuations: what can we learn from machine learning?," Working Paper Series 3107, European Central Bank.
    12. Laura Liu & Mikkel Plagborg‐Møller, 2023. "Full‐information estimation of heterogeneous agent models using macro and micro data," Quantitative Economics, Econometric Society, vol. 14(1), pages 1-35, January.
    13. Marcella Lucchetta, 2025. "Bank Heterogeneity and Crisis Migration: A General Equilibrium Analysis of Systemic Risk," Working Papers 2025: 05, Department of Economics, University of Venice "Ca' Foscari".
    14. Sven Otto & Luis Winter, 2025. "Functional Factor Regression with an Application to Electricity Price Curve Modeling," Papers 2503.12611, arXiv.org, revised Aug 2025.
    15. Laura Liu & Mikkel Plagborg-M?ller, 2021. "Full-Information Estimation of Heterogeneous Agent Models Using Macro and Micro Data," CAEPR Working Papers 2021-001 Classification- , Center for Applied Economics and Policy Research, Department of Economics, Indiana University Bloomington.
    16. Matthew D. Cocci & Mikkel Plagborg-M{o}ller, 2021. "Standard Errors for Calibrated Parameters," Papers 2109.08109, arXiv.org, revised Jun 2024.
    17. Zheng Gong, 2025. "When Does Household Heterogeneity Matter for Aggregate Fluctuations?," CRC TR 224 Discussion Paper Series crctr224_2025_624v2, University of Bonn and University of Mannheim, Germany, revised Sep 2025.
    18. Won-Ki Seo & Dakyung Seong, 2025. "Functional Linear Projection and Impulse Response Analysis," Papers 2503.08364, arXiv.org, revised Apr 2025.

  9. Schorfheide, Frank & Song, Dongho, 2021. "Real-Time Forecasting with a (Standard) Mixed-Frequency VAR During a Pandemic," CEPR Discussion Papers 16760, C.E.P.R. Discussion Papers.

    Cited by:

    1. Chen, Zhengyang & Valcarcel, Victor J., 2025. "Modeling inflation expectations in forward-looking interest rate and money growth rules," Journal of Economic Dynamics and Control, Elsevier, vol. 170(C).
    2. Arroyo Marioli,Francisco & Khadan,Jeetendra & Ohnsorge,Franziska Lieselotte & Yamazaki,Takefumi, 2023. "Forecasting Industrial Commodity Prices : Literature Review and a Model Suite," Policy Research Working Paper Series 10611, The World Bank.
    3. Varga, Katalin & Szendrei, Tibor, 2025. "Non-stationary financial risk factors and macroeconomic vulnerability for the UK," International Review of Financial Analysis, Elsevier, vol. 97(C).
    4. Frank Schorfheide & Dongho Song, 2024. "Real-Time Forecasting with a (Standard) Mixed-Frequency VAR During a Pandemic," International Journal of Central Banking, International Journal of Central Banking, vol. 20(4), pages 275-320, October.
    5. Christiane Baumeister & Pierre Guérin, 2020. "A Comparison of Monthly Global Indicators for Forecasting Growth," NBER Working Papers 28014, National Bureau of Economic Research, Inc.
    6. Gary Koop & Stuart McIntyre & James Mitchell & Aubrey Poon, 2022. "Reconciled Estimates of Monthly GDP in the US," Working Papers 22-01, Federal Reserve Bank of Cleveland.
    7. Hwee Kwan Chow & Keen Meng Choy, 2023. "Economic forecasting in a pandemic: some evidence from Singapore," Empirical Economics, Springer, vol. 64(5), pages 2105-2124, May.
    8. Florian, Huber & Koop, Gary & Onorante, Luca & Pfarrhofer, Michael & Schreiner, Josef, 2021. "Nowcasting in a Pandemic using Non-Parametric Mixed Frequency VARs," JRC Working Papers in Economics and Finance 2021-01, Joint Research Centre, European Commission.
    9. Marco Flaccadoro, 2024. "The recent weakness in the German manufacturing sector," Questioni di Economia e Finanza (Occasional Papers) 902, Bank of Italy, Economic Research and International Relations Area.
    10. De Backer, Bruno & Dewachter, Hans & Iania, Leonardo, 2021. "Macrofinancial information on the post-COVID-19 economic recovery: Will it be V, U or L-shaped?," LIDAM Reprints LFIN 2021007, Université catholique de Louvain, Louvain Finance (LFIN).
    11. José R. Maria & Paulo Júlio, 2023. "Trends and cycles during the COVID-19 pandemic period," Working Papers w202311, Banco de Portugal, Economics and Research Department.
    12. Antolin-Diaz, Juan & Drechsel, Thomas & Petrella, Ivan, 2023. "Advances in Nowcasting Economic Activity: The Role of Heterogeneous Dynamics and Fat Tails," CEPR Discussion Papers 17800, C.E.P.R. Discussion Papers.
    13. Serena Ng, 2021. "Modeling Macroeconomic Variations after Covid-19," NBER Working Papers 29060, National Bureau of Economic Research, Inc.
    14. Andrea Carriero & Todd E. Clark & Massimiliano Marcellino & Elmar Mertens, 2024. "Addressing COVID-19 Outliers in BVARs with Stochastic Volatility," The Review of Economics and Statistics, MIT Press, vol. 106(5), pages 1403-1417, September.
    15. John Cotter & Mark Hallam & Kamil Yilmaz, 2020. "Macro-Financial Spillovers," Working Papers 202005, Geary Institute, University College Dublin.
    16. Roberta Cardani & Olga Croitorov & Massimo Giovannini & Philipp Pfeiffer & Marco Ratto & Lukas Vogel, 2021. "The Euro Area's Pandemic Recession: A DSGE-Based Interpretation," European Economy - Discussion Papers 153, Directorate General Economic and Financial Affairs (DG ECFIN), European Commission.
    17. Tino Berger & James Morley & Benjamin Wong, 2020. "Nowcasting the Output Gap," CAMA Working Papers 2020-78, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    18. Jairo Flores & Bruno Gonzaga & Walter Ruelas-Huanca & Juan Tang, 2025. "Nowcasting Peru's GDP with Machine Learning Methods," IHEID Working Papers 01-2025, Economics Section, The Graduate Institute of International Studies.
    19. Metiu, Norbert & Prieto, Esteban, 2025. "Time-varying stock return correlation, news shocks, and business cycles," European Economic Review, Elsevier, vol. 172(C).
    20. BBVA Research, 2025. "España | Los breves desfases de la Política Monetaria [Spain | The Short Lags of Monetary Policy]," Working Papers 25/08, BBVA Bank, Economic Research Department.
    21. Thomas B Götz & Klemens Hauzenberger, 2021. "Large mixed-frequency VARs with a parsimonious time-varying parameter structure," The Econometrics Journal, Royal Economic Society, vol. 24(3), pages 442-461.
    22. Valentina Aprigliano & Alessandro Borin & Francesco Paolo Conteduca & Simone Emiliozzi & Marco Flaccadoro & Sabina Marchetti & Stefania Villa, 2021. "Forecasting Italian GDP growth with epidemiological data," Questioni di Economia e Finanza (Occasional Papers) 664, Bank of Italy, Economic Research and International Relations Area.
    23. Demetrescu, Matei & Kruse-Becher, Robinson, 2025. "Is U.S. real output growth non-normal? A tale of time-varying location and scale," Journal of Economic Dynamics and Control, Elsevier, vol. 171(C).
    24. Vito Polito & Yunyi Zhang, 2021. "Tackling Large Outliers in Macroeconomic Data with Vector Artificial Neural Network Autoregression," CESifo Working Paper Series 9395, CESifo.
    25. Sailesh Bhaghoe & Gavin Ooft, 2021. "Nowcasting Quarterly GDP Growth in Suriname with Factor-MIDAS and Mixed-Frequency VAR Models," Studies in Applied Economics 176, The Johns Hopkins Institute for Applied Economics, Global Health, and the Study of Business Enterprise.
    26. Zhang, Bo & Nguyen, Bao H., 2020. "Real-time forecasting of the Australian macroeconomy using Bayesian VARs," Working Papers 2020-12, University of Tasmania, Tasmanian School of Business and Economics.
    27. Afonso S. Moura & Gergely Buda & Vasco M. Carvalho & Giancarlo Corsetti & João B. Duarte & Stephen Hansen & Álvaro Ortiz & Tomasa Rodrigo & José V. Rodríguez Mora & Guilherme Alves da Silva, 2025. "The Short Lags of Monetary Policy," Working Papers w202501, Banco de Portugal, Economics and Research Department.
    28. John O’Trakoun, 2022. "Business forecasting during the pandemic," Business Economics, Palgrave Macmillan;National Association for Business Economics, vol. 57(3), pages 95-110, July.
    29. Claudia Foroni & Massimiliano Marcellino & Dalibor Stevanovic, 2020. "Forecasting the Covid-19 Recession and Recovery: Lessons from the Financial Crisis," CIRANO Working Papers 2020s-32, CIRANO.
    30. Martin Ertl & Ines Fortin & Jaroslava Hlouskova & Sebastian P. Koch & Robert M. Kunst & Leopold Sögner, 2025. "Inflation forecasting in turbulent times," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 52(1), pages 5-37, February.
    31. William D. Larson & Tara M. Sinclair, 2020. "Nowcasting Unemployment Insurance Claims in the Time of COVID-19," Working Papers 2020-004, The George Washington University, The Center for Economic Research, revised Aug 2020.
    32. Kerry Loaiza-Marín, 2022. "Nowcasting the Costa Rican Quarterly Output Growth," Documentos de Trabajo 2107, Banco Central de Costa Rica.
    33. Eraslan, Sercan & Schröder, Maximilian, 2023. "Nowcasting GDP with a pool of factor models and a fast estimation algorithm," International Journal of Forecasting, Elsevier, vol. 39(3), pages 1460-1476.
    34. Andrea Carriero & Todd E. Clark & Massimiliano Marcellino & Elmar Mertens, 2021. "Forecasting with Shadow-Rate VARs," Working Papers 21-09, Federal Reserve Bank of Cleveland.
    35. Lin, Jiahe & Michailidis, George, 2024. "A multi-task encoder-dual-decoder framework for mixed frequency data prediction," International Journal of Forecasting, Elsevier, vol. 40(3), pages 942-957.
    36. Durand, Luigi & Fornero, Jorge Alberto, 2024. "Estimating the output gap in times of COVID-19," Latin American Journal of Central Banking (previously Monetaria), Elsevier, vol. 5(4).
    37. Boriss Siliverstovs, 2021. "Gauging the Effect of Influential Observations on Measures of Relative Forecast Accuracy in a Post-COVID-19 Era: Application to Nowcasting Euro Area GDP Growth," Working Papers 2021/01, Latvijas Banka.
    38. Metiu, Norbert & Prieto, Esteban, 2023. "The macroeconomic effects of inflation uncertainty," Discussion Papers 32/2023, Deutsche Bundesbank.
    39. Diego Fresoli, 2024. "Spanish GDP short-term point and density forecasting using a mixed-frequency dynamic factor model," SERIEs: Journal of the Spanish Economic Association, Springer;Spanish Economic Association, vol. 15(2), pages 145-177, June.
    40. Klieber, Karin, 2024. "Non-linear dimension reduction in factor-augmented vector autoregressions," Journal of Economic Dynamics and Control, Elsevier, vol. 159(C).
    41. Fève, Patrick & Moura, Alban, 2025. "Measuring business cycles using vars," TSE Working Papers 25-1673, Toulouse School of Economics (TSE).
    42. Andrea Carriero & Todd E. Clark & Marcellino Massimiliano, 2020. "Nowcasting Tail Risks to Economic Activity with Many Indicators," Working Papers 20-13R2, Federal Reserve Bank of Cleveland, revised 22 Sep 2020.
    43. Cross, Jamie L. & Hou, Chenghan & Koop, Gary & Poon, Aubrey, 2023. "Large stochastic volatility in mean VARs," Journal of Econometrics, Elsevier, vol. 236(1).
    44. Banco de Mexico, 2025. "Monetary policy transmission in Mexico: an overview and banking channels insights using granular data," BIS Papers chapters, in: Bank for International Settlements (ed.), How can central banks take account of differences across households and firms for monetary policy?, volume 127, pages 195-224, Bank for International Settlements.
    45. Evgenidis, Anastasios & Fasianos, Apostolos, 2023. "Modelling monetary policy’s impact on labour markets under Covid-19," Economics Letters, Elsevier, vol. 230(C).
    46. Ramis Khabibullin & Sergei Seleznev, 2022. "Fast Estimation of Bayesian State Space Models Using Amortized Simulation-Based Inference," Papers 2210.07154, arXiv.org.
    47. Bobeica, Elena & Hartwig, Benny, 2023. "The COVID-19 shock and challenges for inflation modelling," International Journal of Forecasting, Elsevier, vol. 39(1), pages 519-539.
    48. Bobeica, Elena & Hartwig, Benny, 2021. "The COVID-19 shock and challenges for time series models," Working Paper Series 2558, European Central Bank.
    49. Paul Ho, 2021. "Forecasting in the Absence of Precedent," Working Paper 21-10, Federal Reserve Bank of Richmond.
    50. Anna Sznajderska & Alfred A. Haug, 2023. "Bayesian VARs of the U.S. economy before and during the pandemic," Eurasian Economic Review, Springer;Eurasia Business and Economics Society, vol. 13(2), pages 211-236, June.
    51. Zhang, Wen, 2022. "China’s government spending and global inflation dynamics: The role of the oil price channel," Energy Economics, Elsevier, vol. 110(C).
    52. Karin Klieber, 2023. "Non-linear dimension reduction in factor-augmented vector autoregressions," Papers 2309.04821, arXiv.org.
    53. Danilo Cascaldi-Garcia, 2022. "Pandemic Priors," International Finance Discussion Papers 1352, Board of Governors of the Federal Reserve System (U.S.).
    54. Antonio Musa, 2022. "Nowcasting Bosnia and Herzegovina GDP in Real Time," IHEID Working Papers 08-2022, Economics Section, The Graduate Institute of International Studies.
    55. Danilo Cascaldi-Garcia & Matteo Luciani & Michele Modugno, 2023. "Lessons from Nowcasting GDP across the World," International Finance Discussion Papers 1385, Board of Governors of the Federal Reserve System (U.S.).
    56. Philippe Goulet Coulombe, 2022. "A Neural Phillips Curve and a Deep Output Gap," Working Papers 22-01, Chair in macroeconomics and forecasting, University of Quebec in Montreal's School of Management.
    57. Cláudia Duarte & José R. Maria & Sharmin Sazedj, 2025. "The business cycle of the Portuguese economy in the post-pandemic period," Economic Bulletin and Financial Stability Report Articles and Banco de Portugal Economic Studies, Banco de Portugal, Economics and Research Department.
    58. Zeynep Kantur & Gülserim Özcan, 2022. "Dissecting Turkish inflation: theory, fact, and illusion," Economic Change and Restructuring, Springer, vol. 55(3), pages 1543-1553, August.
    59. Gergely Buda & Vasco M. Carvalho & Giancarlo Corsetti & João Duarte & Stephen Hansen & Afonso Pereira da Silva & Alvaro Ortiz & Tomasa Rodrigo & Guilherme Alves da Silva & José V. Rodríguez Mora, 2025. "España | Los cortos retardos de la política monetaria [Spain | The Short Lags of Monetary Policy]," Working Papers 25/02, BBVA Bank, Economic Research Department.

  10. Schorfheide, Frank & Aruoba, Boragan & Mlikota, Marko & Villalvazo, Sergio, 2021. "SVARs With Occasionally-Binding Constraints," CEPR Discussion Papers 15923, C.E.P.R. Discussion Papers.

    Cited by:

    1. Sophocles Mavroeidis, 2021. "Identification at the Zero Lower Bound," Econometrica, Econometric Society, vol. 89(6), pages 2855-2885, November.
    2. Schorfheide, Frank & Aruoba, Boragan & Cuba-Borda, Pablo & Hilga-Flores, Kenji & Villalvazo, Sergio, 2020. "Piecewise-Linear Approximations and Filtering for DSGE Models with Occasionally Binding Constraints," CEPR Discussion Papers 15388, C.E.P.R. Discussion Papers.
    3. Knut Are Aastveit & Jamie L. Cross & Francesco Furlanetto & Herman K. Van Dijk, 2024. "Taylor Rules with Endogenous Regimes," Working Papers No 04/2024, Centre for Applied Macro- and Petroleum economics (CAMP), BI Norwegian Business School.
    4. Stefania D'Amico & Thomas B. King, 2015. "What Does Anticipated Monetary Policy Do?," Working Paper Series WP-2015-10, Federal Reserve Bank of Chicago.
    5. Loria, Francesca & Matthes, Christian & Wang, Mu-Chun, 2022. "Economic theories and macroeconomic reality," Journal of Monetary Economics, Elsevier, vol. 126(C), pages 105-117.
    6. Pablo Guerrón-Quintana & Alexey Khazanov & Molin Zhong, 2023. "Financial and Macroeconomic Data Through the Lens of a Nonlinear Dynamic Factor Model," Finance and Economics Discussion Series 2023-027, Board of Governors of the Federal Reserve System (U.S.).
    7. Ascari, Guido & Mavroeidis, Sophocles, 2022. "The unbearable lightness of equilibria in a low interest rate environment," Journal of Monetary Economics, Elsevier, vol. 127(C), pages 1-17.
    8. Mario Forni & Luca Gambetti & Marco Lippi & Luca Sala, 2025. "Informing DSGE Models Through Dynamic Factor Models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 40(5), pages 487-507, August.
    9. Yoosoon Chang & Steven N. Durlauf & Bo Hu & Joon Y. Park, 2024. "Accounting for Individual-Specific Heterogeneity in Intergenerational Income Mobility," Working Papers No 03/2024, Centre for Applied Macro- and Petroleum economics (CAMP), BI Norwegian Business School.
    10. Bykhovskaya, Anna & Duffy, James A., 2024. "The local to unity dynamic Tobit model," Journal of Econometrics, Elsevier, vol. 241(2).
    11. Knut Are Aastveit & Jamie Cross & Francesco Furlanetto & Herman K van Dijk, 2024. "Asymmetric Gradualism in US Monetary Policy," Tinbergen Institute Discussion Papers 24-074/III, Tinbergen Institute.
    12. Andrea Carriero & Todd E. Clark & Massimiliano Marcellino & Elmar Mertens, 2021. "Forecasting with Shadow-Rate VARs," Working Papers 21-09, Federal Reserve Bank of Cleveland.
    13. Yilmazkuday, Hakan, 2024. "Geopolitical risks and energy uncertainty: Implications for global and domestic energy prices," Energy Economics, Elsevier, vol. 140(C).
    14. Dubbert, Tore & Kempa, Bernd, 2024. "Nowcasting the output gap with shadow rates," Economics Letters, Elsevier, vol. 236(C).
    15. Kirstin Hubrich & Daniel F. Waggoner, 2022. "The transmission of financial shocks and leverage of financial institutions: An endogenous regime switching framework," Finance and Economics Discussion Series 2022-034, Board of Governors of the Federal Reserve System (U.S.).
    16. Carriero, Andrea & Clark, Todd E. & Marcellino, Massimiliano & Mertens, Elmar, 2023. "Shadow-rate VARs," Discussion Papers 14/2023, Deutsche Bundesbank.
    17. S. Bogan Aruoba & Pablo Cuba-Borda & Kenji Higa-Flores & Frank Schorfheide & Sergio Villalvazo, 2021. "Online Appendix to "Piecewise-Linear Approximations and Filtering for DSGE Models with Occasionally Binding Constraints"," Online Appendices 20-14, Review of Economic Dynamics.
    18. James A. Duffy & Sophocles Mavroeidis & Sam Wycherley, 2022. "Cointegration with Occasionally Binding Constraints," Papers 2211.09604, arXiv.org, revised Sep 2025.
    19. James A. Duffy & Sophocles Mavroeidis, 2024. "Common Trends and Long-Run Identification in Nonlinear Structural VARs," Papers 2404.05349, arXiv.org, revised Sep 2024.

  11. Schorfheide, Frank & Aruoba, Boragan & Cuba-Borda, Pablo & Hilga-Flores, Kenji & Villalvazo, Sergio, 2020. "Piecewise-Linear Approximations and Filtering for DSGE Models with Occasionally Binding Constraints," CEPR Discussion Papers 15388, C.E.P.R. Discussion Papers.

    Cited by:

    1. Jean-Guillaume Sahuc & Loick Dubois & Gauthier Vermandel, 2025. "A General Equilibrium Approach to Carbon Permit Banking," Working Papers hal-04861311, HAL.
    2. Sophocles Mavroeidis, 2021. "Identification at the Zero Lower Bound," Econometrica, Econometric Society, vol. 89(6), pages 2855-2885, November.
    3. Schorfheide, Frank & Aruoba, Boragan & Mlikota, Marko & Villalvazo, Sergio, 2021. "SVARs With Occasionally-Binding Constraints," CEPR Discussion Papers 15923, C.E.P.R. Discussion Papers.
    4. Enrique Mendoza & Sergio Villalvazo, 2020. "FiPIt: A Simple, Fast Global Method for Solving Models with Two Endogenous States & Occasionally Binding Constraints," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 37, pages 81-102, July.
    5. Hanno Kase & Leonardo Melosi & Matthias Rottner, 2025. "Estimating nonlinear heterogeneous agent models with neural networks," BIS Working Papers 1241, Bank for International Settlements.
    6. Villalvazo, Sergio, 2024. "FDI flows and sudden stops in small open economies," Journal of Macroeconomics, Elsevier, vol. 79(C).
    7. Ascari, Guido & Mavroeidis, Sophocles, 2022. "The unbearable lightness of equilibria in a low interest rate environment," Journal of Monetary Economics, Elsevier, vol. 127(C), pages 1-17.
    8. Daisuke Ikeda & Shangshang Li & Sophocles Mavroeidis & Francesco Zanetti, 2020. "Testing the effectiveness of unconventional monetary policy in Japan and the United States," Papers 2012.15158, arXiv.org, revised Nov 2023.
    9. Boehl, Gregor & Strobel, Felix, 2024. "Estimation of DSGE models with the effective lower bound," Journal of Economic Dynamics and Control, Elsevier, vol. 158(C).
    10. Matthias Rottner, 2021. "Financial Crises and Shadow Banks: A Quantitative Analysis," Economics Working Papers EUI ECO 2021/02, European University Institute.
    11. Damioli, Giacomo & Gregori, Wildmer Daniel, 2021. "Diplomatic relations and cross-border investments in the European Union," JRC Working Papers in Economics and Finance 2021-02, Joint Research Centre, European Commission.
    12. Luisa Corrado & Stefano Grassi & Aldo Paolillo, 2021. "Modelling and Estimating Large Macroeconomic Shocks During the Pandemic," CREATES Research Papers 2021-08, Department of Economics and Business Economics, Aarhus University.
    13. Andrea Carriero & Todd E. Clark & Massimiliano Marcellino & Elmar Mertens, 2021. "Forecasting with Shadow-Rate VARs," Working Papers 21-09, Federal Reserve Bank of Cleveland.
    14. Giovannini, Massimo & Pfeiffer, Philipp & Ratto, Marco, 2021. "Efficient and robust inference of models with occasionally binding constraints," JRC Working Papers in Economics and Finance 2021-03, Joint Research Centre, European Commission.
    15. Harding, Martín & Lindé, Jesper & Trabandt, Mathias, 2022. "Resolving the missing deflation puzzle," Journal of Monetary Economics, Elsevier, vol. 126(C), pages 15-34.
    16. Leonardo Melosi & Giorgio Primiceri & Andrea Tambalotti, 2021. "Introduction to the Special Issue in Memory of Alejandro Justiniano," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 41, pages 1-3, July.
    17. Wen, Jianghui & Hong, Lijiang & Dai, Min & Xiao, Xinping & Wu, Chaozhong, 2023. "A stochastic model for stop-and-go phenomenon in traffic oscillation: On the prospective of macro and micro traffic flow," Applied Mathematics and Computation, Elsevier, vol. 440(C).
    18. Dominik Hecker & Maik Wolters & Maik H. Wolters, 2025. "Nonlinear Estimation of a New Keynesian Model with Endogenous Inflation De-Anchoring," CESifo Working Paper Series 12280, CESifo.
    19. Carriero, Andrea & Clark, Todd E. & Marcellino, Massimiliano & Mertens, Elmar, 2023. "Shadow-rate VARs," Discussion Papers 14/2023, Deutsche Bundesbank.
    20. Ascari, Guido & Mavroeidis, Sophocles & McClung, Nigel, 2023. "Coherence without rationality at the zero lower bound," Journal of Economic Theory, Elsevier, vol. 214(C).
    21. James A. Duffy & Sophocles Mavroeidis & Sam Wycherley, 2022. "Cointegration with Occasionally Binding Constraints," Papers 2211.09604, arXiv.org, revised Sep 2025.
    22. Luisa Corrado & Stefano Grassi & Aldo Paolillo, 2021. "Identifying Economic Shocks in a Rare Disaster Environment," CEIS Research Paper 517, Tor Vergata University, CEIS, revised 18 Jul 2024.
    23. Andras Fulop & Jeremy Heng & Junye Li, 2022. "Efficient Likelihood-based Estimation via Annealing for Dynamic Structural Macrofinance Models," Papers 2201.01094, arXiv.org.
    24. Calo, Silvia & Gregori, Wildmer Daniel & Petracco Giudici, Marco & Rancan, Michela, 2021. "Has the Comprehensive Assessment made the European financial system more resilient?," JRC Working Papers in Economics and Finance 2021-08, Joint Research Centre, European Commission.

  12. Michael Cai & Marco Del Negro & Edward P. Herbst & Ethan Matlin & Reca Sarfati & Frank Schorfheide, 2020. "Online Estimation of DSGE Models," Finance and Economics Discussion Series 2020-023, Board of Governors of the Federal Reserve System (U.S.).

    Cited by:

    1. Zhang, Xiaodi, 2025. "Integrating policy design with agricultural emissions reduction in China: A multi-sector DSGE Approach," Economic Analysis and Policy, Elsevier, vol. 86(C), pages 2019-2048.
    2. Ho, Paul, 2023. "Global robust Bayesian analysis in large models," Journal of Econometrics, Elsevier, vol. 235(2), pages 608-642.
    3. Masashige Hamano & Munechika Katayama, 2021. "Epidemics and Macroeconomic Dynamics," Working Papers e162, Tokyo Center for Economic Research.
    4. Paul Ho & Pierre-Daniel G. Sarte & Felipe Schwartzman, 2022. "Multilateral Comovement in a New Keynesian World: A Little Trade Goes a Long Way," Working Paper 22-10, Federal Reserve Bank of Richmond.
    5. Jabeen, Fauzia & Kaur, Puneet & Talwar, Shalini & Malodia, Suresh & Dhir, Amandeep, 2022. "I love you, but you let me down! How hate and retaliation damage customer-brand relationship," Technological Forecasting and Social Change, Elsevier, vol. 174(C).
    6. McAdam, Peter & Warne, Anders, 2020. "Density forecast combinations: the real-time dimension," Working Paper Series 2378, European Central Bank.
    7. Ho, Paul, 2024. "Estimating the effects of demographics on interest rates: A robust Bayesian perspective," Journal of Economic Dynamics and Control, Elsevier, vol. 158(C).
    8. Ettmeier, Stephanie & Kriwoluzky, Alexander, 2024. "Active or passive? Revisiting the role of fiscal policy during high inflation," European Economic Review, Elsevier, vol. 170(C).
    9. Fasolo, Angelo M. & Araujo, Eurilton & Jorge, Marcos Valli & Kornelius, Alexandre & Marinho, Leonardo Sousa Gomes, 2024. "Brazilian macroeconomic dynamics redux: Shocks, frictions, and unemployment in SAMBA model," Latin American Journal of Central Banking (previously Monetaria), Elsevier, vol. 5(2).
    10. Jinting Guo, 2025. "On the Identification of Diagnostic Expectations: Econometric Insights from DSGE Models," Papers 2509.08472, arXiv.org, revised Sep 2025.

  13. Schorfheide, Frank & Liu, Laura & Moon, Hyungsik Roger, 2020. "Panel Forecasts of Country-Level Covid-19 Infectionsliu," CEPR Discussion Papers 14790, C.E.P.R. Discussion Papers.

    Cited by:

    1. Guenette,Justin Damien & Yamazaki,Takefumi, 2021. "Projecting the Economic Consequences of the COVID-19 Pandemic," Policy Research Working Paper Series 9589, The World Bank.

  14. Laura Liu & Hyungsik Roger Moon & Frank Schorfheide, 2020. "Panel Forecasts of Country-Level Covid-19 Infections," NBER Working Papers 27248, National Bureau of Economic Research, Inc.

    Cited by:

    1. Cem Cakmakli & Yasin Simsek, 2023. "Bridging the Covid-19 Data and the Epidemiological Model using Time-Varying Parameter SIRD Model," Papers 2301.13692, arXiv.org.
    2. Yothin Jinjarak & Rashad Ahmed & Sameer Nair-Desai & Weining Xin & Joshua Aizenman, 2020. "Accounting for Global COVID-19 Diffusion Patterns, January-April 2020," NBER Working Papers 27185, National Bureau of Economic Research, Inc.
    3. Hwang, Eunju, 2022. "Prediction intervals of the COVID-19 cases by HAR models with growth rates and vaccination rates in top eight affected countries: Bootstrap improvement," Chaos, Solitons & Fractals, Elsevier, vol. 155(C).
    4. Chaohua Dong & Jiti Gao & Oliver Linton & Bin Peng, 2020. "On the Time Trend of COVID-19: A Panel Data Study," Papers 2006.11060, arXiv.org, revised Jun 2020.
    5. Yanqing Yang & Xingcheng Xu & Jinfeng Ge & Yan Xu, 2024. "Machine Learning for Economic Forecasting: An Application to China's GDP Growth," Papers 2407.03595, arXiv.org.
    6. Sokbae (Simon) Lee & Yuan Liao & Myung Hwan Seo & Youngki Shin, 2020. "Sparse HP filter: Finding kinks in the COVID-19 contact rate," CeMMAP working papers CWP32/20, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    7. Difang Huang & Ying Liang & Boyao Wu & Yanyi Ye, 2025. "Estimating the impact of social distance policy in mitigating COVID-19 spread with factor-based imputation approach," Empirical Economics, Springer, vol. 68(2), pages 585-601, February.
    8. Hartl, Tobias, 2021. "Monitoring the pandemic: A fractional filter for the COVID-19 contact rate," VfS Annual Conference 2021 (Virtual Conference): Climate Economics 242380, Verein für Socialpolitik / German Economic Association.
    9. Andrei Zubarev & Maria Kirillova, 2022. "Modeling COVID-19 spread in the Russian Federation using global VAR approach," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 65, pages 117-138.
    10. Ho, Paul & Lubik, Thomas A. & Matthes, Christian, 2023. "How to go viral: A COVID-19 model with endogenously time-varying parameters," Journal of Econometrics, Elsevier, vol. 232(1), pages 70-86.
    11. Julliard, Christian & Shi, Ran & Yuan, Kathy, 2020. "The spread of COVID-19 in London: network effects and optimal lockdowns," LSE Research Online Documents on Economics 118864, London School of Economics and Political Science, LSE Library.
    12. Li, S. & Linton, O., 2020. "When will the Covid-19 pandemic peak?," Cambridge Working Papers in Economics 2025, Faculty of Economics, University of Cambridge.
    13. Christian Aleman & Christopher Busch & Alexander Ludwig & Raul Santaeulalia-Llopis, 2022. "A Stage-Based Identification of Policy Effects," PIER Working Paper Archive 22-026, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.
    14. Difang Huang & Ying Liang & Boyao Wu & Yanyi Ye, 2024. "Estimating the Impact of Social Distance Policy in Mitigating COVID-19 Spread with Factor-Based Imputation Approach," Papers 2405.12180, arXiv.org.
    15. Pierluigi Vallarino, 2024. "Dynamic kernel models," Tinbergen Institute Discussion Papers 24-082/III, Tinbergen Institute.
    16. Fernández-Villaverde, Jesús & Jones, Charles I., 2022. "Estimating and simulating a SIRD Model of COVID-19 for many countries, states, and cities," Journal of Economic Dynamics and Control, Elsevier, vol. 140(C).
    17. Sen, Anindya & Baker, John David & Zhang, Qihuang & Agarwal, Rishav Raj & Lam, Jean-Paul, 2023. "Do more stringent policies reduce daily COVID-19 case counts? Evidence from Canadian provinces," Economic Analysis and Policy, Elsevier, vol. 78(C), pages 225-242.
    18. Xin Jing & Jin Seo Cho, 2025. "Quantile ARDL Estimation of the Relationship between the Confirmed COVID-19 Cases and Deaths in the U.S," Working papers 2025rwp-247, Yonsei University, Yonsei Economics Research Institute.
    19. Leonardo Martins & Marcelo C. Medeiros, 2021. "The Impacts of Mobility on Covid-19 Dynamics: Using Soft and Hard Data," Papers 2110.00597, arXiv.org.
    20. Paul Ho, 2021. "Forecasting in the Absence of Precedent," Working Paper 21-10, Federal Reserve Bank of Richmond.
    21. Guenette,Justin Damien & Yamazaki,Takefumi, 2021. "Projecting the Economic Consequences of the COVID-19 Pandemic," Policy Research Working Paper Series 9589, The World Bank.
    22. Otilia Boldea & Adriana Cornea-Madeira & João Madeira, 2023. "Disentangling the effect of measures, variants, and vaccines on SARS-CoV-2 infections in England: a dynamic intensity model," The Econometrics Journal, Royal Economic Society, vol. 26(3), pages 444-466.

  15. Ross Askanazi & Francis X. Diebold & Frank Schorfheide & Minchul Shin, 2018. "On the Comparison of Interval Forecasts," PIER Working Paper Archive 18-013, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania, revised 02 Aug 2018.

    Cited by:

    1. Laura Liu & Hyungsik Roger Moon & Frank Schorfheide, 2019. "Forecasting with a Panel Tobit Model," CAEPR Working Papers 2019-005, Center for Applied Economics and Policy Research, Department of Economics, Indiana University Bloomington.
    2. Hyndman, Rob J., 2020. "A brief history of forecasting competitions," International Journal of Forecasting, Elsevier, vol. 36(1), pages 7-14.
    3. Francis X. Diebold & Minchul Shin & Boyuan Zhang, 2020. "On the Aggregation of Probability Assessments: Regularized Mixtures of Predictive Densities for Eurozone Inflation and Real Interest Rates," Papers 2012.11649, arXiv.org, revised Jun 2022.
    4. Petropoulos, Fotios & Apiletti, Daniele & Assimakopoulos, Vassilios & Babai, Mohamed Zied & Barrow, Devon K. & Ben Taieb, Souhaib & Bergmeir, Christoph & Bessa, Ricardo J. & Bijak, Jakub & Boylan, Joh, 2022. "Forecasting: theory and practice," International Journal of Forecasting, Elsevier, vol. 38(3), pages 705-871.
      • Fotios Petropoulos & Daniele Apiletti & Vassilios Assimakopoulos & Mohamed Zied Babai & Devon K. Barrow & Souhaib Ben Taieb & Christoph Bergmeir & Ricardo J. Bessa & Jakub Bijak & John E. Boylan & Jet, 2020. "Forecasting: theory and practice," Papers 2012.03854, arXiv.org, revised Jan 2022.
    5. Arias, Jonas E. & Rubio-Ramírez, Juan F. & Shin, Minchul, 2023. "Macroeconomic forecasting and variable ordering in multivariate stochastic volatility models," Journal of Econometrics, Elsevier, vol. 235(2), pages 1054-1086.
    6. Hirano, Keisuke & Porter, Jack R., 2020. "Asymptotic analysis of statistical decision rules in econometrics," Handbook of Econometrics, in: Steven N. Durlauf & Lars Peter Hansen & James J. Heckman & Rosa L. Matzkin (ed.), Handbook of Econometrics, edition 1, volume 7, chapter 0, pages 283-354, Elsevier.
    7. Nico Keilman, 2020. "Evaluating Probabilistic Population Forecasts," Economie et Statistique / Economics and Statistics, Institut National de la Statistique et des Etudes Economiques (INSEE), issue 520-521, pages 49-64.
    8. Liu, Laura & Moon, Hyungsik Roger & Schorfheide, Frank, 2021. "Panel forecasts of country-level Covid-19 infections," Journal of Econometrics, Elsevier, vol. 220(1), pages 2-22.
    9. Sayar Karmakar & Marek Chudý & Wei Biao Wu, 2022. "Long‐term prediction intervals with many covariates," Journal of Time Series Analysis, Wiley Blackwell, vol. 43(4), pages 587-609, July.
    10. James Mitchell & Martin Weale, 2021. "Censored Density Forecasts: Production and Evaluation," Working Papers 21-12R, Federal Reserve Bank of Cleveland, revised 16 Aug 2022.
    11. Francisca Corpas-Burgos & Miguel A. Martinez-Beneito, 2021. "An Autoregressive Disease Mapping Model for Spatio-Temporal Forecasting," Mathematics, MDPI, vol. 9(4), pages 1-17, February.
    12. Andrew B. Martinez, 2025. "Real-time Hurricane Damage Nowcasts," Working Papers 2025-006, The George Washington University, The Center for Economic Research.
    13. Spyros Makridakis & Chris Fry & Fotios Petropoulos & Evangelos Spiliotis, 2022. "The Future of Forecasting Competitions: Design Attributes and Principles," INFORMS Joural on Data Science, INFORMS, vol. 1(1), pages 96-113, April.
    14. Makridakis, Spyros & Hyndman, Rob J. & Petropoulos, Fotios, 2020. "Forecasting in social settings: The state of the art," International Journal of Forecasting, Elsevier, vol. 36(1), pages 15-28.

  16. Laura Liu & Hyungsik Roger Moon & Frank Schorfheide, 2017. "Forecasting with Dynamic Panel Data Models," Papers 1709.10193, arXiv.org.

    Cited by:

    1. Mihaela Simionescu & Javier Cifuentes-Faura, 2022. "Forecasting National and Regional Youth Unemployment in Spain Using Google Trends," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 164(3), pages 1187-1216, December.
    2. Laura Liu & Hyungsik Roger Moon & Frank Schorfheide, 2019. "Forecasting with a Panel Tobit Model," CAEPR Working Papers 2019-005, Center for Applied Economics and Policy Research, Department of Economics, Indiana University Bloomington.
    3. Hyungsik Roger Moon & Frank Schorfheide & Boyuan Zhang, 2023. "Bayesian Estimation of Panel Models under Potentially Sparse Heterogeneity," PIER Working Paper Archive 23-017, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.
    4. Andrew Y Chen & Tom Zimmermann & Jeffrey Pontiff, 2020. "Publication Bias and the Cross-Section of Stock Returns," The Review of Asset Pricing Studies, Society for Financial Studies, vol. 10(2), pages 249-289.
    5. Laura Liu & Hyungsik Roger Moon & Frank Schorfheide, 2017. "Forecasting with Dynamic Panel Data Models," Papers 1709.10193, arXiv.org.
    6. Seoyoung Yu & Donghyun Kim, 2021. "Changes in Regional Economic Resilience after the 2008 Global Economic Crisis: The Case of Korea," Sustainability, MDPI, vol. 13(20), pages 1-14, October.
    7. Smith, Simon C. & Timmermann, Allan & Zhu, Yinchu, 2019. "Variable selection in panel models with breaks," Journal of Econometrics, Elsevier, vol. 212(1), pages 323-344.
    8. Antonio Pacifico, 2023. "Obesity and labour market outcomes in Italy: a dynamic panel data evidence with correlated random effects," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 24(4), pages 557-574, June.
    9. Randal Verbrugge & Alan Dorfman & William Johnson & Fred Marsh III & Robert Poole & Owen Shoemaker, 2017. "Determinants of Differential Rent Changes: Mean Reversion versus the Usual Suspects," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 45(3), pages 591-627, July.
    10. Liu, Laura & Moon, Hyungsik Roger & Schorfheide, Frank, 2021. "Panel forecasts of country-level Covid-19 infections," Journal of Econometrics, Elsevier, vol. 220(1), pages 2-22.
    11. Raffaella Giacomini & Sokbae Lee & Silvia Sarpietro, 2023. "A Robust Method for Microforecasting and Estimation of Random Effects," Working Paper Series WP 2023-26, Federal Reserve Bank of Chicago.
    12. Lin, Jilei & Eck, Daniel J., 2021. "Minimizing post-shock forecasting error through aggregation of outside information," International Journal of Forecasting, Elsevier, vol. 37(4), pages 1710-1727.
    13. Yugang He, 2024. "E-commerce and foreign direct investment: pioneering a new era of trade strategies," Humanities and Social Sciences Communications, Palgrave Macmillan, vol. 11(1), pages 1-14, December.
    14. Woloszko, Nicolas, 2024. "Nowcasting with panels and alternative data: The OECD weekly tracker," International Journal of Forecasting, Elsevier, vol. 40(4), pages 1302-1335.
    15. Pengyu Chen & Yiannis Karavias & Elias Tzavalis, 2022. "Panel unit-root tests with structural breaks," Stata Journal, StataCorp LLC, vol. 22(3), pages 664-678, September.
    16. Laura Liu, 2017. "Density Forecasts in Panel Models: A semiparametric Bayesian Perspective," PIER Working Paper Archive 17-006, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania, revised 28 Apr 2017.
    17. He Li & Nurhafiza Abdul Kader Malim & Xiaojun Xie & Xuyang Du, 2025. "Interaction Effects of Green Finance and Digital Platforms on China’s Economic Growth," Sustainability, MDPI, vol. 17(18), pages 1-16, September.
    18. Andrew Y. Chen, 2022. "Do t-Statistic Hurdles Need to be Raised?," Papers 2204.10275, arXiv.org, revised Apr 2024.
    19. Timothy Christensen & Hyungsik Roger Moon & Frank Schorfheide, 2020. "Robust Forecasting," Papers 2011.03153, arXiv.org, revised Dec 2020.
    20. Pietro Giorgio Lovaglio, 2025. "Cross‐Learning With Panel Data Modeling for Stacking and Forecast Time Series Employment in Europe," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 44(2), pages 753-780, March.
    21. Laura Liu, 2020. "Density Forecasts in Panel Data Models: A Semiparametric Bayesian Perspective," CAEPR Working Papers 2020-003, Center for Applied Economics and Policy Research, Department of Economics, Indiana University Bloomington.
    22. Chinco, Alex & Neuhierl, Andreas & Weber, Michael, 2021. "Estimating the anomaly base rate," Journal of Financial Economics, Elsevier, vol. 140(1), pages 101-126.
    23. Timmermann, Allan & Zhu, Yinchu, 2019. "Comparing Forecasting Performance with Panel Data," CEPR Discussion Papers 13746, C.E.P.R. Discussion Papers.
    24. Antonio Pacifico, 2025. "High-Dimensional Dynamic Panel with Correlated Random Effects: A Semiparametric Hierarchical Empirical Bayes Approach," Computational Economics, Springer;Society for Computational Economics, vol. 66(1), pages 869-902, July.
    25. Raffaella Giacomini & Sokbae Lee & Silvia Sarpietro, 2023. "Individual Shrinkage for Random Effects," Papers 2308.01596, arXiv.org, revised Jul 2025.
    26. Fabio Canova, 2024. "Should we trust cross‐sectional multiplier estimates?," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 39(4), pages 589-606, June.
    27. Oguzhan Cepni & Riza Demirer & Rangan Gupta & Ahmet Sensoy, 2020. "Interest Rate Uncertainty and the Predictability of Bank Revenues," Working Papers 202040, University of Pretoria, Department of Economics.
    28. Wang, Siquan & Lin, Boqiang, 2024. "Performance linkage in renewable energy supply chain: A comparative analysis with coal power and the entire industry," Energy Policy, Elsevier, vol. 193(C).
    29. Moffo, Ahmadou Mustapha Fonton, 2024. "A machine learning approach in stress testing US bank holding companies," International Review of Financial Analysis, Elsevier, vol. 95(PC).
    30. Qu, Ritong & Timmermann, Allan & Zhu, Yinchu, 2023. "Comparing forecasting performance in cross-sections," Journal of Econometrics, Elsevier, vol. 237(2).
    31. Greenaway-McGrevy, Ryan, 2022. "Forecast combination for VARs in large N and T panels," International Journal of Forecasting, Elsevier, vol. 38(1), pages 142-164.
    32. Christis Katsouris, 2023. "Optimal Estimation Methodologies for Panel Data Regression Models," Papers 2311.03471, arXiv.org, revised Nov 2023.
    33. Andrew Y. Chen & Mihail Velikov, 2020. "Zeroing in on the Expected Returns of Anomalies," Finance and Economics Discussion Series 2020-039, Board of Governors of the Federal Reserve System (U.S.).
    34. Ullah, Atta & Nobanee, Haitham & Ullah, Saif & Iftikhar, Huma, 2024. "Renewable energy transition and regional integration: Energizing the pathway to sustainable development," Energy Policy, Elsevier, vol. 193(C).

  17. Eleonora Granziera & Hyungsik Roger Moon & Frank Schorfheide, 2017. "Inference for VARs Identified with Sign Restrictions," Papers 1709.10196, arXiv.org, revised Feb 2018.

    Cited by:

    1. Mayer, Eric & Rüth, Sebastian & Scharler, Johann, 2016. "Total factor productivity and the propagation of shocks: Empirical evidence and implications for the business cycle," Journal of Macroeconomics, Elsevier, vol. 50(C), pages 335-346.
    2. Klug, Thorsten & Mayer, Eric & Schuler, Tobias, 2021. "The corporate saving glut and the current account in Germany," Working Paper Series 2586, European Central Bank.
    3. Isaiah Andrews & Timothy B. Armstrong, 2015. "Unbiased Instrumental Variables Estimation under Known First-Stage Sign," Cowles Foundation Discussion Papers 1984R, Cowles Foundation for Research in Economics, Yale University, revised Mar 2015.
    4. Candelon, Bertrand & Lieb, Lenard, 2013. "Fiscal policy in good and bad times," Journal of Economic Dynamics and Control, Elsevier, vol. 37(12), pages 2679-2694.
    5. Mark W. Watson, 2019. "Comment on "On the Empirical (Ir)relevance of the Zero Lower Bound Constraint"," NBER Chapters, in: NBER Macroeconomics Annual 2019, volume 34, pages 182-193, National Bureau of Economic Research, Inc.
    6. Andreas Tryphonides, 2023. "Online Appendix to "Identifying Preferences when Households are Financially Constrained"," Online Appendices 21-242, Review of Economic Dynamics.
    7. Hyunseung Oh & Nicolas Crouzet, 2013. "Can news shocks account for the business-cycle dynamics of inventories?," 2013 Meeting Papers 504, Society for Economic Dynamics.
    8. Pooyan Amir Ahmadi & Harald Uhlig, 2015. "Sign Restrictions in Bayesian FaVARs with an Application to Monetary Policy Shocks," NBER Working Papers 21738, National Bureau of Economic Research, Inc.
    9. Jordi Brandts & Sabrine El Baroudi & Stefanie Huber & Christina Rott, 2022. "Gender Differences in Private and Public Goal Setting," Tinbergen Institute Discussion Papers 22-008/II, Tinbergen Institute.
    10. Prüser, Jan, 2021. "The horseshoe prior for time-varying parameter VARs and Monetary Policy," Journal of Economic Dynamics and Control, Elsevier, vol. 129(C).
    11. Sergio Ocampo & Norberto Rodríguez, 2011. "An Introductory Review of a Structural VAR-X Estimation and Applications," Borradores de Economia 686, Banco de la Republica de Colombia.
    12. Christiane Baumeister & James D. Hamilton, 2018. "Inference in Structural Vector Autoregressions when the Identifying Assumptions are not Fully Believed: Re-evaluating the Role of Monetary Policy in Economic Fluctuations," CESifo Working Paper Series 7048, CESifo.
    13. Gerald A. Carlino & Thorsten Drautzburg, 2017. "The Role of Startups for Local Labor Markets," Working Papers 17-31, Federal Reserve Bank of Philadelphia.
    14. Christiane Baumeister & James D. Hamilton, 2015. "Sign Restrictions, Structural Vector Autoregressions, and Useful Prior Information," Econometrica, Econometric Society, vol. 83(5), pages 1963-1999, September.
    15. Sam Ouliaris & Adrian Pagan, 2022. "Three Basic Issues that Arise when Using Informational Restrictions in SVARs," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 84(1), pages 1-20, February.
    16. Rubio-Ramírez, Juan Francisco & , & Arias, Jonas E., 2014. "Inference Based on SVAR Identified with Sign and Zero Restrictions: Theory and Applications," CEPR Discussion Papers 9796, C.E.P.R. Discussion Papers.
    17. Molinari, Francesca, 2020. "Microeconometrics with partial identification," Handbook of Econometrics, in: Steven N. Durlauf & Lars Peter Hansen & James J. Heckman & Rosa L. Matzkin (ed.), Handbook of Econometrics, edition 1, volume 7, chapter 0, pages 355-486, Elsevier.
    18. Jonas E. Arias & Juan Rubio-Ramirez & Daniel F. Waggoner, 2013. "Inference Based on SVARs Identied with Sign and Zero Restrictions: Theory and Applications," Working Papers 2013-24, FEDEA.
    19. Matthew Read, 2023. "Estimating the Effects of Monetary Policy in Australia Using Sign‐restricted Structural Vector Autoregressions," The Economic Record, The Economic Society of Australia, vol. 99(326), pages 329-358, September.
    20. Fischer, Andreas & Greminger, Rafael P. & Grisse, Christian & Kaufmann, Sylvia, 2021. "Portfolio rebalancing in times of stress," CEPR Discussion Papers 15777, C.E.P.R. Discussion Papers.
    21. Matthew Read, 2021. "Algorithms for Inference in SVARs Identified with Sign and Zero Restrictions," Papers 2109.10676, arXiv.org, revised Jan 2022.
    22. Danne, Christian, 2015. "VARsignR: Estimating VARs using sign restrictions in R," MPRA Paper 68429, University Library of Munich, Germany.
    23. Raffaella Giacomini & Toru Kitagawa & Alessio Volpicella, 2020. "Uncertain Identification," CeMMAP working papers CWP33/20, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    24. Daisuke Ikeda & Shangshang Li & Sophocles Mavroeidis & Francesco Zanetti, 2020. "Testing the effectiveness of unconventional monetary policy in Japan and the United States," Papers 2012.15158, arXiv.org, revised Nov 2023.
    25. Gregory Bauer & Eleonora Granziera, 2016. "Monetary Policy, Private Debt and Financial Stability Risks," Staff Working Papers 16-59, Bank of Canada.
    26. Atsushi Inoue & Lutz Kilian, 2019. "The uniform validity of impulse response inference in autoregressions," Vanderbilt University Department of Economics Working Papers 19-00001, Vanderbilt University Department of Economics.
    27. Diegel, Max & Nautz, Dieter, 2021. "Long-term inflation expectations and the transmission of monetary policy shocks: Evidence from a SVAR analysis," Journal of Economic Dynamics and Control, Elsevier, vol. 130(C).
    28. Pérez-Forero, Fernando & Vega, Marco, 2014. "The Dynamic Effects of Interest Rates and Reserve Requirements," Working Papers 2014-018, Banco Central de Reserva del Perú.
    29. Kilian, Lutz, 2011. "Structural Vector Autoregressions," CEPR Discussion Papers 8515, C.E.P.R. Discussion Papers.
    30. Njindan Iyke, Bernard, 2015. "Assessing the Effects of Housing Market Shocks on Output: The Case of South Africa," MPRA Paper 69610, University Library of Munich, Germany, revised 01 Feb 2016.
    31. Thorsten Drautzburg & Pooyan Amir-Ahmadi, 2017. "Identification through Heterogeneity," 2017 Meeting Papers 1087, Society for Economic Dynamics.
    32. Raffaella Giacomini & Toru Kitagawa, 2018. "Robust Bayesian inference for set-identified models," CeMMAP working papers CWP61/18, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    33. Lee, Adam & Mesters, Geert, 2024. "Locally robust inference for non-Gaussian linear simultaneous equations models," Journal of Econometrics, Elsevier, vol. 240(1).
    34. Atsushi Inoue & Lutz Kilian, 2013. "Inference on Impulse Response Functions in Structural VAR Models," DSSR Discussion Papers 11, Graduate School of Economics and Management, Tohoku University.
    35. Jonas E. Arias & Juan F. Rubio-Ram'irez & Minchul Shin, 2025. "A Gibbs Sampler for Efficient Bayesian Inference in Sign-Identified SVARs," Papers 2505.23542, arXiv.org, revised May 2025.
    36. Njindan Iyke, Bernard, 2016. "Are Monetary Policy Disturbances Important in Ghana? Some Evidence from Agnostic Identification," MPRA Paper 70205, University Library of Munich, Germany.
    37. IIBOSHI, Hirokuni & IWATA, Yasuharu, 2023. "The Nexus between Public Debt and the Government Spending Multiplier: Fiscal Adjustments Matter," MPRA Paper 116347, University Library of Munich, Germany.
    38. Helmut Lütkepohl & Aleksei NetŠunajev, 2014. "Disentangling Demand And Supply Shocks In The Crude Oil Market: How To Check Sign Restrictions In Structural Vars," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 29(3), pages 479-496, April.
    39. Drautzburg, Thorsten & Wright, Jonathan H, 2021. "Refining Set-Identification in VARs through Independence," Economics Working Paper Archive 64575, The Johns Hopkins University,Department of Economics.
    40. Keating, John W., 2013. "What do we learn from Blanchard and Quah decompositions of output if aggregate demand may not be long-run neutral?," Journal of Macroeconomics, Elsevier, vol. 38(PB), pages 203-217.
    41. Lukas Hoesch & Adam Lee & Geert Mesters, 2022. "Robust inference for non-Gaussian SVAR models," Economics Working Papers 1847, Department of Economics and Business, Universitat Pompeu Fabra.
    42. Liudas Giraitis & George Kapetanios & Konstantinos Theodoridis & Tony Yates, 2014. "Estimating time-varying DSGE models using minimum distance methods," Bank of England working papers 507, Bank of England.
    43. Pooyan Amir‐Ahmadi & Thorsten Drautzburg, 2021. "Identification and inference with ranking restrictions," Quantitative Economics, Econometric Society, vol. 12(1), pages 1-39, January.
    44. Giacomini, Raffaella & Kitagawa, Toru & Read, Matthew, 2022. "Robust Bayesian inference in proxy SVARs," Journal of Econometrics, Elsevier, vol. 228(1), pages 107-126.
    45. Breitenlechner, Max & Mathy, Gabriel P. & Scharler, Johann, 2021. "Decomposing the U.S. Great Depression: How important were loan supply shocks?," Explorations in Economic History, Elsevier, vol. 79(C).
    46. Emanuele Bacchiocchi & Toru Kitagawa, 2025. "Locally- but not Globally-identified SVARs," Papers 2504.01441, arXiv.org.
    47. Andreas Tryphonides, 2020. "Identifying Preferences when Households are Financially Constrained," Papers 2005.02010, arXiv.org, revised Feb 2023.
    48. Herwartz, Helmut & Wang, Shu, 2023. "Point estimation in sign-restricted SVARs based on independence criteria with an application to rational bubbles," Journal of Economic Dynamics and Control, Elsevier, vol. 151(C).
    49. Raffaella Giacomini & Toru Kitagawa, 2014. "Inference about Non-Identi?ed SVARs," CeMMAP working papers CWP45/14, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    50. IWATA, Yasuharu & IIBOSHI, Hirokuni, 2023. "The Nexus between Public Debt and the Government Spending Multiplier: Fiscal Adjustments Matter," MPRA Paper 116355, University Library of Munich, Germany.
    51. Bicu, A.C. & Lieb, L.M., 2015. "Cross-border effects of fiscal policy in the Eurozone," Research Memorandum 019, Maastricht University, Graduate School of Business and Economics (GSBE).
    52. Herwartz, Helmut & Plödt, Martin, 2014. "Sign restrictions and statistical identification under volatility breaks -- Simulation based evidence and an empirical application to monetary policy analysis," VfS Annual Conference 2014 (Hamburg): Evidence-based Economic Policy 100326, Verein für Socialpolitik / German Economic Association.
    53. Dufour, Jean-Marie & Khalaf, Lynda & Kichian, Maral, 2013. "Identification-robust analysis of DSGE and structural macroeconomic models," Journal of Monetary Economics, Elsevier, vol. 60(3), pages 340-350.
    54. Andrea Carriero & Alessio Volpicella, 2022. "Generalizing the Max Share Identification to multiple shocks identification: an Application to Uncertainty," School of Economics Discussion Papers 0322, School of Economics, University of Surrey.
    55. Kilian, Lutz & Murphy, Daniel, 2009. "Why Agnostic Sign Restrictions Are Not Enough: Understanding the Dynamics of Oil Market VAR Models," CEPR Discussion Papers 7471, C.E.P.R. Discussion Papers.
    56. Pooyan Amir‐Ahmadi & Christian Matthes & Mu‐Chun Wang, 2016. "Drifts and volatilities under measurement error: Assessing monetary policy shocks over the last century," Quantitative Economics, Econometric Society, vol. 7(2), pages 591-611, July.
    57. Jonas E. Arias & Juan F. Rubio-Ramirez & Minchul Shin, 2025. "A Gibbs Sampler for Efficient Bayesian Inference in Sign-Identified SVARs," Working Papers 25-19, Federal Reserve Bank of Philadelphia.
    58. Kocięcki, Andrzej, 2017. "Fully Bayesian Analysis of SVAR Models under Zero and Sign Restrictions," MPRA Paper 81094, University Library of Munich, Germany.
    59. James H. Stock, 2010. "The Other Transformation in Econometric Practice: Robust Tools for Inference," Journal of Economic Perspectives, American Economic Association, vol. 24(2), pages 83-94, Spring.
    60. Lukas Hoesch & Adam Lee & Geert Mesters, 2024. "Locally robust inference for non‐Gaussian SVAR models," Quantitative Economics, Econometric Society, vol. 15(2), pages 523-570, May.
    61. Pooyan Amir-Ahmadi & Gustavo S. Cortes & Marc D. Weidenmier, 2020. "Regional Monetary Policies and the Great Depression," NBER Working Papers 26695, National Bureau of Economic Research, Inc.
    62. Rüth, Sebastian & Mayer, Eric & Scharler, Johann, 2014. "TFP and the Transmission of Shocks," VfS Annual Conference 2014 (Hamburg): Evidence-based Economic Policy 100549, Verein für Socialpolitik / German Economic Association.
    63. Matthew Read, 2022. "The Unit-effect Normalisation in Set-identified Structural Vector Autoregressions," RBA Research Discussion Papers rdp2022-04, Reserve Bank of Australia.
    64. Gan‐Ochir Doojav & Davaasukh Damdinjav, 2023. "The macroeconomic effects of unconventional monetary policies in a commodity‐exporting economy: Evidence from Mongolia," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 28(4), pages 4627-4654, October.
    65. Matthew Read, 2024. "Sign Restrictions and Supply-demand Decompositions of Inflation," RBA Research Discussion Papers rdp2024-05, Reserve Bank of Australia.
    66. Paul Carrillo‐Maldonado, 2023. "Partial identification for growth regimes: The case of Latin American countries," Metroeconomica, Wiley Blackwell, vol. 74(3), pages 557-583, July.
    67. Breitenlechner, Max & Nuutilainen, Riikka, 2019. "China's monetary policy and the loan market: How strong is the credit channel in China?," BOFIT Discussion Papers 15/2019, Bank of Finland Institute for Emerging Economies (BOFIT).
    68. Sydney C. Ludvigson & Sai Ma & Serena Ng, 2017. "Shock Restricted Structural Vector-Autoregressions," NBER Working Papers 23225, National Bureau of Economic Research, Inc.
    69. John W. Keating, 2013. "What Do We Learn from Blanchard and Quah Decompositions If Aggregate Demand May Not be Long-Run Neutral?," WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS 201302, University of Kansas, Department of Economics.

  18. S. Boragan Aruoba & Pablo A. Cuba-Borda & Frank Schorfheide, 2016. "Macroeconomic Dynamics Near the ZLB : A Tale of Two Countries," International Finance Discussion Papers 1163, Board of Governors of the Federal Reserve System (U.S.).

    Cited by:

    1. William T. Gavin & Benjamin D. Keen & Alexander W. Richter & Nathaniel A. Throckmorton, 2013. "The stimulative effect of forward guidance," Working Papers 2013-38, Federal Reserve Bank of St. Louis.
    2. Pablo Cuba-Borda & Sanjay R. Singh, 2022. "Understanding Persistent ZLB: Theory and Assessment," Working Papers 346, University of California, Davis, Department of Economics.
    3. S. Boragan Aruoba & Luigi Bocola & Frank Schorfheide, 2013. "Assessing DSGE model nonlinearities," Working Papers 13-47, Federal Reserve Bank of Philadelphia.
    4. Schmidt, Sebastian & Nakata, Taisuke, 2020. "Expectations-driven liquidity traps: Implications for monetary and fiscal policy," CEPR Discussion Papers 15422, C.E.P.R. Discussion Papers.
    5. François Gourio & Phuong Ngo, 2020. "Risk Premia at the ZLB: A Macroeconomic Interpretation," Working Paper Series WP 2020-01, Federal Reserve Bank of Chicago.
    6. Junior Maih, 2015. "Efficient perturbation methods for solving regime-switching DSGE models," Working Paper 2015/01, Norges Bank.
    7. Nicolas Mäder, 2024. "Financial Crises as a Phenomenon of Multiple Equilibria and How to Select among Them," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 56(2-3), pages 517-536, March.
    8. Alessandro Dovis & Luigi Bocola, 2015. "Indeterminacy in Sovereign Debt Markets: An Empirical Investigation," 2015 Meeting Papers 694, Society for Economic Dynamics.
    9. Schorfheide, Frank & Aruoba, Boragan & Cuba-Borda, Pablo & Hilga-Flores, Kenji & Villalvazo, Sergio, 2020. "Piecewise-Linear Approximations and Filtering for DSGE Models with Occasionally Binding Constraints," CEPR Discussion Papers 15388, C.E.P.R. Discussion Papers.
    10. Nathaniel Throckmorton & Benjamin Keen & Alexander Richter & William Gavin, 2013. "Global Dynamics at the Zero Lower Bound," 2013 Meeting Papers 839, Society for Economic Dynamics.
    11. Ashwin, Julian & Beaudry, Paul & Ellison, Martin, 2025. "Neural network learning for nonlinear economies," Journal of Monetary Economics, Elsevier, vol. 149(C).
    12. Jeffrey R. Campbell, 2014. "Quantitative Easing in Joseph's Egypt with Keynesian Producers," Working Paper Series WP-2014-15, Federal Reserve Bank of Chicago.
    13. Zaretski, Aliaksandr, 2021. "Financial constraints, risk sharing, and optimal monetary policy," MPRA Paper 110757, University Library of Munich, Germany.
    14. Schorfheide, Frank & Aruoba, Boragan & Mlikota, Marko & Villalvazo, Sergio, 2021. "SVARs With Occasionally-Binding Constraints," CEPR Discussion Papers 15923, C.E.P.R. Discussion Papers.
    15. George W. Evans & Seppo Honkapohja & Kaushik Mitra, 2022. "Expectations, Stagnation, And Fiscal Policy: A Nonlinear Analysis," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 63(3), pages 1397-1425, August.
    16. Roc Armenter, 2013. "The perils of nominal targets," Working Papers 14-2, Federal Reserve Bank of Philadelphia.
    17. Andrew Binning & Junior Maih, 2015. "Sigma Point Filters For Dynamic Nonlinear Regime Switching Models," Working Papers No 4/2015, Centre for Applied Macro- and Petroleum economics (CAMP), BI Norwegian Business School.
    18. Andrea Ajello & Isabel Cairó & Vasco Curdia & Thomas A. Lubik & Albert Queraltó, 2020. "Monetary Policy Tradeoffs and the Federal Reserve's Dual Mandate," Finance and Economics Discussion Series 2020-066, Board of Governors of the Federal Reserve System (U.S.).
    19. Howard Kung & Gonzalo Morales & Alexandre Corhay, 2017. "Fiscal Discount Rates and Debt Maturity," 2017 Meeting Papers 840, Society for Economic Dynamics.
    20. Bianchi, Francesco & Melosi, Leonardo, 2013. "Escaping the Great Recession," CEPR Discussion Papers 9643, C.E.P.R. Discussion Papers.
    21. Francesco Bianchi & Leonardo Melosi & Matthias Rottner, 2019. "Hitting the Elusive Inflation Target," Working Paper Series WP-2019-7, Federal Reserve Bank of Chicago.
    22. Ryan Niladri Banerjee & Fabrizio Zampolli, 2016. "What drives the short-run costs of fiscal consolidation? Evidence from OECD countries," BIS Working Papers 553, Bank for International Settlements.
    23. Jarociński, Marek & Maćkowiak, Bartosz, 2017. "Monetary-fiscal interactions and the euro area's malaise," Working Paper Series 2072, European Central Bank.
    24. Wataru Miyamoto & Thuy Lan Nguyen & Dmitriy Sergeyev, 2017. "Government Spending Multipliers Under the Zero Lower Bound: Evidence from Japan," Staff Working Papers 17-40, Bank of Canada.
    25. Roberto M. Billi & Jordi Galí, 2018. "Gains from wage flexibility and the zero lower bound," Economics Working Papers 1625, Department of Economics and Business, Universitat Pompeu Fabra, revised Feb 2019.
    26. Kenneth L. Judd & Lilia Maliar & Serguei Maliar, 2017. "Lower Bounds on Approximation Errors to Numerical Solutions of Dynamic Economic Models," Econometrica, Econometric Society, vol. 85, pages 991-1012, May.
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    1. Ivashchenko, S., 2020. "Long-term growth sources for sectors of Russian economy," Journal of the New Economic Association, New Economic Association, vol. 48(4), pages 86-112.
    2. Jan Philipp Fritsche & Mathias Klein & Malte Rieth, 2020. "Government Spending Multipliers in (Un)certain Times," Discussion Papers of DIW Berlin 1901, DIW Berlin, German Institute for Economic Research.
    3. S. Boragan Aruoba & Luigi Bocola & Frank Schorfheide, 2013. "Assessing DSGE model nonlinearities," Working Papers 13-47, Federal Reserve Bank of Philadelphia.
    4. Jonathan Benchimol & Sergey Ivashchenko, 2020. "Switching Volatility in a Nonlinear Open Economy," Bank of Israel Working Papers 2020.04, Bank of Israel.
    5. Todd E. Clark & Michael W. McCracken & Elmar Mertens, 2017. "Modeling Time-Varying Uncertainty of Multiple-Horizon Forecast Errors," Working Papers 2017-026, Federal Reserve Bank of St. Louis.
    6. Joseph Byrne & Ryuta Sakemoto, "undated". "Commodity Correlation Risk," Working Papers 22-11, University of Strathclyde Business School, Department of Economics.
    7. Diebold, Francis X. & Schorfheide, Frank & Shin, Minchul, 2017. "Real-time forecast evaluation of DSGE models with stochastic volatility," CFS Working Paper Series 577, Center for Financial Studies (CFS).
    8. Reifschneider, David & Tulip, Peter, 2019. "Gauging the uncertainty of the economic outlook using historical forecasting errors: The Federal Reserve’s approach," International Journal of Forecasting, Elsevier, vol. 35(4), pages 1564-1582.
    9. Farooq Akram & Andrew Binning & Junior Maih, 2016. "Joint Prediction Bands for Macroeconomic Risk Management," Working Papers No 5/2016, Centre for Applied Macro- and Petroleum economics (CAMP), BI Norwegian Business School.
    10. Li, Chenxing & Maheu, John M & Yang, Qiao, 2022. "An Infinite Hidden Markov Model with Stochastic Volatility," MPRA Paper 115456, University Library of Munich, Germany.
    11. Pooyan Amir-Ahmadi & Christian Matthes & Mu-Chun Wang, 2016. "Choosing Prior Hyperparameters," Working Paper 16-9, Federal Reserve Bank of Richmond.
    12. David Alaminos & M. Belén Salas & Manuel A. Fernández-Gámez, 2022. "Quantum Computing and Deep Learning Methods for GDP Growth Forecasting," Computational Economics, Springer;Society for Computational Economics, vol. 59(2), pages 803-829, February.
    13. Juan Jos√© Rinc√≥n Brice√±o, 2025. "Colombian economic activity nowcasting: addressing nonlinearities and high dimensionality through machine-learning," Documentos CEDE 21388, Universidad de los Andes, Facultad de Economía, CEDE.
    14. Gary Koop & Dimitris Korobilis, 2015. "Forecasting With High Dimensional Panel VARs," Working Papers 2015_25, Business School - Economics, University of Glasgow.
    15. Jinshun Wu & Luyao Wu, 2024. "Bayesian Local Likelihood Estimation of Time-Varying DSGE Models: Allowing for Indeterminacy," Computational Economics, Springer;Society for Computational Economics, vol. 64(4), pages 2437-2476, October.
    16. Siddhartha Chib & Minchul Shin & Fei Tan, 2023. "DSGE-SVt: An Econometric Toolkit for High-Dimensional DSGE Models with SV and t Errors," Computational Economics, Springer;Society for Computational Economics, vol. 61(1), pages 69-111, January.
    17. Michael Cai & Marco Del Negro & Edward P. Herbst & Ethan Matlin & Reca Sarfati & Frank Schorfheide, 2020. "Online Estimation of DSGE Models," Finance and Economics Discussion Series 2020-023, Board of Governors of the Federal Reserve System (U.S.).
    18. Mertens, Elmar, 2023. "Precision-based sampling for state space models that have no measurement error," Journal of Economic Dynamics and Control, Elsevier, vol. 154(C).
    19. Carriero, Andrea & Galvão, Ana Beatriz & Kapetanios, George, 2019. "A comprehensive evaluation of macroeconomic forecasting methods," International Journal of Forecasting, Elsevier, vol. 35(4), pages 1226-1239.
    20. Musa Abdu & Adamu Jibir & Salihu Abdullahi & Aisha Adamu Hassan, 2021. "Drivers of manufacturing firms’ productivity: a micro-perspective to industrialization in Nigeria," SN Business & Economics, Springer, vol. 1(2), pages 1-17, February.
    21. Marcellino, Massimiliano & Carriero, Andrea & Clark, Todd, 2021. "Using Time-Varying Volatility for Identification in Vector Autoregressions: An Application to Endogenous Uncertainty," CEPR Discussion Papers 16346, C.E.P.R. Discussion Papers.
    22. James Morley & Irina B Panovska, 2017. "Is Business Cycle Asymmetry Intrinsic in Industrialized Economies?," Discussion Papers 2016-12A, School of Economics, The University of New South Wales.
    23. James Morley, 2019. "The business cycle: periodic pandemic or rollercoaster ride?," International Journal of Economic Policy Studies, Springer, vol. 13(2), pages 425-431, August.
    24. Sun Xiaojin & Tsang Kwok Ping, 2019. "What cycles? Data detrending in DSGE models," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 23(3), pages 1-23, June.
    25. Giovanni Di Bartolomeo & Carolina Serpieri, 2024. "Optimal monetary policy and the time-dependent price and wage Phillips curves: An international comparison," Working Papers in Public Economics 249, Department of Economics and Law, Sapienza University of Roma.
    26. David Reifschneider & Peter Tulip, 2017. "Gauging the Uncertainty of the Economic Outlook Using Historical Forecasting Errors: The Federal Reserve's Approach," RBA Research Discussion Papers rdp2017-01, Reserve Bank of Australia.
    27. Xiao-Li Gong & Jin-Yan Lu & Xiong Xiong & Wei Zhang, 2022. "Higher-order dynamic effects of uncertainty risk under thick-tailed stochastic volatility," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 8(1), pages 1-22, December.
    28. Wang, Yudong & Liu, Li & Wu, Chongfeng, 2020. "Forecasting commodity prices out-of-sample: Can technical indicators help?," International Journal of Forecasting, Elsevier, vol. 36(2), pages 666-683.
    29. Sergey Ivashchenko, 2022. "Dynamic Stochastic General Equilibrium Model with Multiple Trends and Structural Breaks," Russian Journal of Money and Finance, Bank of Russia, vol. 81(1), pages 46-72, March.
    30. Paccagnini, Alessia, 2017. "Dealing with Misspecification in DSGE Models: A Survey," MPRA Paper 82914, University Library of Munich, Germany.
    31. Hommes, Cars & He, Mario & Poledna, Sebastian & Siqueira, Melissa & Zhang, Yang, 2025. "CANVAS: A Canadian behavioral agent-based model for monetary policy," Journal of Economic Dynamics and Control, Elsevier, vol. 172(C).
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    34. Yantao Gao & Xilong Yao & Wenxi Wang & Xin Liu, 2019. "Dynamic effect of environmental tax on export trade: Based on DSGE mode," Energy & Environment, , vol. 30(7), pages 1275-1290, November.
    35. Siddhartha Chib & Minchul Shin & Fei Tan, 2020. "High-Dimensional DSGE Models: Pointers on Prior, Estimation, Comparison, and Prediction∗," Working Papers 20-35, Federal Reserve Bank of Philadelphia.
    36. Poledna, Sebastian & Miess, Michael Gregor & Hommes, Cars & Rabitsch, Katrin, 2023. "Economic forecasting with an agent-based model," European Economic Review, Elsevier, vol. 151(C).
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  20. Edward P. Herbst & Frank Schorfheide, 2016. "Tempered Particle Filtering," Finance and Economics Discussion Series 2016-072, Board of Governors of the Federal Reserve System (U.S.).

    Cited by:

    1. Joshua C. C. Chan, 2024. "BVARs and stochastic volatility," Chapters, in: Michael P. Clements & Ana Beatriz Galvão (ed.), Handbook of Research Methods and Applications in Macroeconomic Forecasting, chapter 3, pages 43-67, Edward Elgar Publishing.
    2. Wolf, Elias, 2022. "Estimating growth at risk with skewed stochastic volatility models," Discussion Papers 2022/2, Free University Berlin, School of Business & Economics.
    3. Edward P. Herbst & Frank Schorfheide, 2016. "Tempered Particle Filtering," Finance and Economics Discussion Series 2016-072, Board of Governors of the Federal Reserve System (U.S.).
    4. Pablo Cuba‐Borda & Luca Guerrieri & Matteo Iacoviello & Molin Zhong, 2019. "Likelihood evaluation of models with occasionally binding constraints," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 34(7), pages 1073-1085, November.
    5. Sergei Seleznev, 2016. "Solving DSGE models with stochastic trends," Bank of Russia Working Paper Series wps15, Bank of Russia.
    6. Boehl, Gregor & Strobel, Felix, 2024. "Estimation of DSGE models with the effective lower bound," Journal of Economic Dynamics and Control, Elsevier, vol. 158(C).
    7. Boehl, Gregor & Strobel, Felix, 2024. "The empirical performance of the financial accelerator since 2008," Journal of Economic Dynamics and Control, Elsevier, vol. 167(C).
    8. Wolf, Elias & Montes-Galdón, Carlos & Paredes, Joan, 2024. "Conditional density forecasting: a tempered importance sampling approach," VfS Annual Conference 2024 (Berlin): Upcoming Labor Market Challenges 302442, Verein für Socialpolitik / German Economic Association.
    9. Mengheng Li & Siem Jan Koopman, 2021. "Unobserved components with stochastic volatility: Simulation‐based estimation and signal extraction," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 36(5), pages 614-627, August.
    10. Dominik Hecker & Maik Wolters & Maik H. Wolters, 2025. "Nonlinear Estimation of a New Keynesian Model with Endogenous Inflation De-Anchoring," CESifo Working Paper Series 12280, CESifo.
    11. Wolf, Elias, 2023. "Estimating Growth at Risk with Skewed Stochastic Volatility Models," VfS Annual Conference 2023 (Regensburg): Growth and the "sociale Frage" 277696, Verein für Socialpolitik / German Economic Association.
    12. Umberto Picchini & Adeline Samson, 2018. "Coupling stochastic EM and approximate Bayesian computation for parameter inference in state-space models," Computational Statistics, Springer, vol. 33(1), pages 179-212, March.
    13. Minsu Chang, 2019. "A House Without a Ring: The Role of Changing Marital Transitions for Housing Decisions," 2019 Meeting Papers 514, Society for Economic Dynamics.
    14. Sanha Noh, 2020. "Posterior Inference on Parameters in a Nonlinear DSGE Model via Gaussian-Based Filters," Computational Economics, Springer;Society for Computational Economics, vol. 56(4), pages 795-841, December.
    15. Andras Fulop & Jeremy Heng & Junye Li, 2022. "Efficient Likelihood-based Estimation via Annealing for Dynamic Structural Macrofinance Models," Papers 2201.01094, arXiv.org.

  21. Rubio-Ramírez, Juan Francisco & Schorfheide, Frank & Fernández-Villaverde, Jesús, 2015. "Solution and Estimation Methods for DSGE Models," CEPR Discussion Papers 11032, C.E.P.R. Discussion Papers.

    Cited by:

    1. Drautzburg, Thorsten & Fernández-Villaverde, Jesús & Guerrón-Quintana, Pablo, 2021. "Bargaining shocks and aggregate fluctuations," Journal of Economic Dynamics and Control, Elsevier, vol. 127(C).
    2. Yao, Wenying & Kam, Timothy & Vahid, Farshid, 2017. "On weak identification in structural VARMA models," Economics Letters, Elsevier, vol. 156(C), pages 1-6.
    3. Chase Coleman & Spencer Lyon & Lilia Maliar & Serguei Maliar, 2021. "Matlab, Python, Julia: What to Choose in Economics?," Computational Economics, Springer;Society for Computational Economics, vol. 58(4), pages 1263-1288, December.
    4. Gabriel Chodorow-Reich & Loukas Karabarbounis & Rohan Kekre, 2019. "The Macroeconomics of the Greek Depression," Working Papers 758, Federal Reserve Bank of Minneapolis.
    5. Pierre Mabille, 2019. "Aggregate Precautionary Savings Motives," 2019 Meeting Papers 344, Society for Economic Dynamics.
    6. S. Boragan Aruoba & Luigi Bocola & Frank Schorfheide, 2013. "Assessing DSGE model nonlinearities," Working Papers 13-47, Federal Reserve Bank of Philadelphia.
    7. Sushant Acharya & Shu Lin Wee, 2020. "Rational Inattention in Hiring Decisions," American Economic Journal: Macroeconomics, American Economic Association, vol. 12(1), pages 1-40, January.
    8. Fernández-Villaverde, Jesús & Levintal, Oren, 2016. "Solution Methods for Models with Rare Disasters," CEPR Discussion Papers 11115, C.E.P.R. Discussion Papers.
    9. Goyal, Ashima & Verma, Akhilesh K, 2023. "Cross border flows, financial intermediation and interactions of policy rules in a small open economy," The Quarterly Review of Economics and Finance, Elsevier, vol. 89(C), pages 369-393.
    10. Glötzl, Erhard & Glötzl, Florentin & Richters, Oliver, 2018. "From constrained optimization to constrained dynamics: extending analogies between economics and mechanics," VfS Annual Conference 2018 (Freiburg, Breisgau): Digital Economy 181627, Verein für Socialpolitik / German Economic Association.
    11. Grazzini, Jakob & Richiardi, Matteo G. & Tsionas, Mike, 2017. "Bayesian estimation of agent-based models," Journal of Economic Dynamics and Control, Elsevier, vol. 77(C), pages 26-47.
    12. Carrier, Alexandre & Mavromatis, Kostas, 2025. "Optimal normalization policy under behavioral expectations," Journal of Monetary Economics, Elsevier, vol. 153(C).
    13. Beatrice Cherrier, 2023. "The Price of Virtue: Some Hypotheses on How Tractability Has Shaped Economic Models," Post-Print halshs-04378635, HAL.
    14. Haykaz Igityan & Hasmik Kartashyan, 2021. "Housing Market Drivers and Dynamics in Armenia," Working Papers 16, Central Bank of Armenia.
    15. Jesús Fernández-Villaverde & Pablo A. Guerrón-Quintana, 2020. "Uncertainty Shocks and Business Cycle Research," NBER Working Papers 26768, National Bureau of Economic Research, Inc.
    16. Eric Jondeau & Grégory Levieuge & Jean-Guillaume Sahuc & Gauthier Vermandel, 2023. "Environmental Subsidies to Mitigate Net-Zero Transition Costs," Working papers 910, Banque de France.
    17. Solis-Garcia, Mario, 2017. "Yes we can! Teaching DSGE models to undergraduate students," MPRA Paper 81754, University Library of Munich, Germany.
    18. Adjemian, Stéphane & Karamé, Frédéric & Langot, François, 2021. "Nonlinearities and Workers’ Heterogeneity in Unemployment Dynamics," Dynare Working Papers 71, CEPREMAP.
    19. Jonas E. Arias & Jesús Fernández-Villaverde & Juan F. Rubio-Ramírez & Minchul Shin, 2021. "Bayesian Estimation of Epidemiological Models: Methods, Causality, and Policy Trade-Offs," Working Papers 2021-09, FEDEA.
    20. Guillermo Hausmann-Guil, 2025. "Solving DSGE models with incomplete markets by perturbation," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 57, July.
    21. Pablo Garcia, 2021. "Learning, expectations and monetary policy," BCL working papers 153, Central Bank of Luxembourg.
    22. Hirokuni Iiboshi & Mototsugu Shintani & Kozo Ueda, 2018. "Estimating a Nonlinear New Keynesian Model with a Zero Lower Bound for Japan," Working Papers e120, Tokyo Center for Economic Research.
    23. Jonathan J. Adams & Mr. Philip Barrett, 2017. "Why are Countries’ Asset Portfolios Exposed to Nominal Exchange Rates?," IMF Working Papers 2017/291, International Monetary Fund.
    24. Alexis Derviz, 2020. "Sovereign Capital, External Balance, and the Investment-Based Balassa-Samuelson Effect in a Global Dynamic Equilibrium," Working Papers 2020/4, Czech National Bank, Research and Statistics Department.
    25. Willi Mutschler, 2015. "Higher-order statistics for DSGE models," CQE Working Papers 4315, Center for Quantitative Economics (CQE), University of Muenster.
    26. Aryan Eftekhari & Simon Scheidegger, 2022. "High-Dimensional Dynamic Stochastic Model Representation," Papers 2202.06555, arXiv.org.
    27. Mahdi Ebrahimi Kahou & Jesús Fernández-Villaverde & Sebastián Gómez-Cardona & Jesse Perla & Jan Rosa, 2024. "Spooky Boundaries at a Distance: Inductive Bias, Dynamic Models, and Behavioral Macro," CESifo Working Paper Series 11292, CESifo.
    28. Gleb Kurovskiy, 2017. "Modelling terms of trade volatility impact on output dynamics in Russia," EcoMod2017 10361, EcoMod.
    29. Wolfgang Maennig & Stefan Wilhelm, 2022. "News and Noise in Crime Politics: The Role of Announcements and Risk Attitudes," Working Papers 072, Chair for Economic Policy, University of Hamburg.
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    31. Christoph Gortz & John D. Tsoukalas & Francesco Zanetti, 2020. "News Shocks Under Financial Frictions," CAMA Working Papers 2020-94, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    32. Paul Beaudry & Dana Galizia & Franck Portier, 2016. "Putting the Cycle Back into Business Cycle Analysis," NBER Working Papers 22825, National Bureau of Economic Research, Inc.
    33. Minsu Chang, 2023. "Online Appendix to "Changing Marital Transitions and Homeownership Among Young Households"," Online Appendices 21-30, Review of Economic Dynamics.
    34. Jean-Guillaume Sahuc & Frank Smets & Gauthier Vermandel, 2025. "The New Keynesian Climate Model," EconomiX Working Papers 2025-1, University of Paris Nanterre, EconomiX.
    35. Acocella, Nicola & Beqiraj, Elton & Di Bartolomeo, Giovanni & Di Pietro, Marco & Felici, Francesco & Alleva, Giorgio & Di Dio, Fabio & Liseo, Brunero, 2020. "A stochastic estimated version of the Italian dynamic General Equilibrium Model," Economic Modelling, Elsevier, vol. 92(C), pages 339-357.
    36. Hongru Zhang & Yang Yang, 2019. "Prescribing for the tourism-induced Dutch disease: A DSGE analysis of subsidy policies," Tourism Economics, , vol. 25(6), pages 942-963, September.
    37. Renato Faccini & Leonardo Melosi, 2019. "Pigouvian Cycles," 2019 Meeting Papers 977, Society for Economic Dynamics.
    38. Iwasaki, Yuto & Muto, Ichiro & Shintani, Mototsugu, 2021. "Missing wage inflation? Estimating the natural rate of unemployment in a nonlinear DSGE model," European Economic Review, Elsevier, vol. 132(C).
    39. Pablo Cuba‐Borda & Luca Guerrieri & Matteo Iacoviello & Molin Zhong, 2019. "Likelihood evaluation of models with occasionally binding constraints," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 34(7), pages 1073-1085, November.
    40. Adrien Auclert & Bence Bardóczy & Matthew Rognlie & Ludwig Straub, 2019. "Using the Sequence-Space Jacobian to Solve and Estimate Heterogeneous-Agent Models," NBER Working Papers 26123, National Bureau of Economic Research, Inc.
    41. Ayşe Kabukçuoğlu & Enrique Martínez-García, 2021. "A Generalized Time Iteration Method for Solving Dynamic Optimization Problems with Occasionally Binding Constraints," Computational Economics, Springer;Society for Computational Economics, vol. 58(2), pages 435-460, August.
    42. Ascari, Guido & Mavroeidis, Sophocles, 2022. "The unbearable lightness of equilibria in a low interest rate environment," Journal of Monetary Economics, Elsevier, vol. 127(C), pages 1-17.
    43. Francesco Lamperti & Andrea Roventini & Amir Sani, 2017. "Agent-Based Model Calibration using Machine Learning Surrogates," Working Papers hal-03458875, HAL.
    44. Jesús Fernández-Villaverde & Pablo A. Guerrón-Quintana, 2021. "Estimating DSGE Models: Recent Advances and Future Challenges," Annual Review of Economics, Annual Reviews, vol. 13(1), pages 229-252, August.
    45. Giorgio Fagiolo & Mattia Guerini & Francesco Lamperti & Alessio Moneta & Andrea Roventini, 2017. "Validation of Agent-Based Models in Economics and Finance," LEM Papers Series 2017/23, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    46. Amendola, Marco & Pereira, Marcelo C., 2025. "State-dependent impulse responses in agent-based models: A new methodology and an economic application," Journal of Economic Behavior & Organization, Elsevier, vol. 229(C).
    47. McKnight, Stephen & Mihailov, Alexander & Pompa Rangel, Antonio, 2020. "What do Latin American inflation targeters care about? A comparative Bayesian estimation of central bank preferences," Journal of Macroeconomics, Elsevier, vol. 63(C).
    48. Paolo Gelain & Simone Manganelli, 2020. "Monetary Policy with Judgment," Working Papers 20-14, Federal Reserve Bank of Cleveland.
    49. Mariano Kulish & Daniel Rees, 2015. "Unprecedented Changes in the Terms of Trade," RBA Research Discussion Papers rdp2015-11, Reserve Bank of Australia.
    50. Ferroni, Filippo & Fisher, Jonas D.M. & Melosi, Leonardo, 2024. "Unusual shocks in our usual models," Journal of Monetary Economics, Elsevier, vol. 147(C).
    51. Emmet Hall-Hoffarth, 2022. "Causal Discovery of Macroeconomic State-Space Models," Papers 2204.02374, arXiv.org.
    52. Meyer-Gohde, Alexander, 2021. "On the accuracy of linear DSGE solution methods and the consequences for log-normal asset pricing," IMFS Working Paper Series 154, Goethe University Frankfurt, Institute for Monetary and Financial Stability (IMFS).
    53. Julien Albertini & Stéphane Moyen, 2020. "A General and Efficient Method for Solving Regime-Switching DSGE Models," Working Papers halshs-03067554, HAL.
    54. Sergei Seleznev, 2016. "Solving DSGE models with stochastic trends," Bank of Russia Working Paper Series wps15, Bank of Russia.
    55. Ho, Paul, 2023. "Global robust Bayesian analysis in large models," Journal of Econometrics, Elsevier, vol. 235(2), pages 608-642.
    56. Sergey Ivashchenko & Semih Emre Çekin & Kevin Kotzé & Rangan Gupta, 2018. "Forecasting with Second-Order Approximations and Markov Switching DSGE Models," Working Papers 201862, University of Pretoria, Department of Economics.
    57. Tyler Atkinson & Alexander W. Richter & Nathaniel A. Throckmorton, 2018. "The Zero Lower Bound and Estimation Accuracy," Working Papers 1804, Federal Reserve Bank of Dallas.
    58. Francesco Bianchi & Cosmin L. Ilut & Martin Schneider, 2018. "Uncertainty Shocks, Asset Supply and Pricing over the Business Cycle," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 85(2), pages 810-854.
    59. Lawrence J. Christiano & Martin S. Eichenbaum & Mathias Trabandt, 2018. "On DSGE Models," Journal of Economic Perspectives, American Economic Association, vol. 32(3), pages 113-140, Summer.
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    61. Maximilian Goedl, 2017. "The Sovereign-Bank Interaction in the Eurozone Crisis," Graz Economics Papers 2017-10, University of Graz, Department of Economics.
    62. Eugenio S.A. Bobenrieth & Juan R.A. Bobenrieth & Ernesto A. Guerra & Brian D. Wright & Di Zeng, 2021. "Putting the Empirical Commodity Storage Model Back on Track: Crucial Implications of a “Negligible” Trend," American Journal of Agricultural Economics, John Wiley & Sons, vol. 103(3), pages 1034-1057, May.
    63. Brand, Thomas & Isoré, Marlène & Tripier, Fabien, 2017. "Uncertainty Shocks and Firm Dynamics: Search and Monitoring in the Credit Market," CEPREMAP Working Papers (Docweb) 1707, CEPREMAP.
    64. Zhongjun Qu, 2018. "A Composite Likelihood Framework for Analyzing Singular DSGE Models," The Review of Economics and Statistics, MIT Press, vol. 100(5), pages 916-932, December.
    65. Alisdair McKay & Christian K. Wolf, 2023. "What Can Time‐Series Regressions Tell Us About Policy Counterfactuals?," Econometrica, Econometric Society, vol. 91(5), pages 1695-1725, September.
    66. Lott, Sherwin, 2019. "Perturbations in DSGE models: An odd derivatives theorem," Journal of Economic Dynamics and Control, Elsevier, vol. 106(C), pages 1-1.
    67. Hasumi, Ryo & Iiboshi, Hirokuni, 2019. "A Bayesian Estimation of HANK models with Continuous Time Approach:Comparison between US and Japan," MPRA Paper 92292, University Library of Munich, Germany.
    68. Jensen, Henrik & Santoro, Emiliano & Ravn, Søren Hove, 2015. "Changing Credit Limits, Changing Business Cycles," CEPR Discussion Papers 10462, C.E.P.R. Discussion Papers.
    69. Gáti, Laura, 2022. "Monetary policy & anchored expectations: an endogenous gain learning model," Working Paper Series 2685, European Central Bank.
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    89. Paccagnini, Alessia, 2017. "Dealing with Misspecification in DSGE Models: A Survey," MPRA Paper 82914, University Library of Munich, Germany.
    90. Papp, Tamás K. & Reiter, Michael, 2020. "Estimating linearized heterogeneous agent models using panel data," Journal of Economic Dynamics and Control, Elsevier, vol. 115(C).
    91. Gianluca Cubadda & Alain Hecq, 2022. "Dimension Reduction for High Dimensional Vector Autoregressive Models," CEIS Research Paper 534, Tor Vergata University, CEIS, revised 24 Mar 2022.
    92. Gohin, Alexandre & Zheng, Yu, 2020. "Reforming the European Common Agricultural Policy: From price & income support to risk management," Journal of Policy Modeling, Elsevier, vol. 42(3), pages 712-727.
    93. Gross, Isaac & Hansen, James, 2021. "Optimal policy design in nonlinear DSGE models: An n-order accurate approximation," European Economic Review, Elsevier, vol. 140(C).
    94. Ales Marsal & Katrin Rabitsch & Lorant Kaszab, 2023. "Undesired Consequences of Calvo Pricing in a Non-linear World," Working and Discussion Papers WP 1/2023, Research Department, National Bank of Slovakia.
    95. Jonas E. Arias & Jesús Fernández-Villaverde & Juan F. Rubio-Ramirez & Minchul Shin, 2021. "Bayesian Estimation of Epidemiological Models: Methods, Causality, and Policy Trade-Offs," Working Papers 21-18, Federal Reserve Bank of Philadelphia.
    96. Giorgio Fagiolo & Andrea Roventini, 2016. "Macroeconomic Policy in DSGE and Agent-Based Models Redux: New Developments and Challenges Ahead," LEM Papers Series 2016/17, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    97. Farkas, Mátyás & Tatar, Balint, 2020. "Bayesian estimation of DSGE models with Hamiltonian Monte Carlo," IMFS Working Paper Series 144, Goethe University Frankfurt, Institute for Monetary and Financial Stability (IMFS).
    98. Ramis Khabibullin & Sergei Seleznev, 2022. "Fast Estimation of Bayesian State Space Models Using Amortized Simulation-Based Inference," Papers 2210.07154, arXiv.org.
    99. Levintal, Oren, 2017. "Fifth-order perturbation solution to DSGE models," Journal of Economic Dynamics and Control, Elsevier, vol. 80(C), pages 1-16.
    100. RAJAONARISON, Njakanasandratra R., 2024. "Efficacité de la politique budgétaire à Madagascar [Effectiveness of fiscal policy : case of Madagascar]," MPRA Paper 122857, University Library of Munich, Germany.
    101. Pablo A. Guerron-Quintana & Tomohiro Hirano & Ryo Jinnai, 2021. "Bubbles, Crashes, Ups and Downs in Economic Growth Theory and Evidence," CIGS Working Paper Series 21-006E, The Canon Institute for Global Studies.
    102. Zhongjun Qu & Denis Tkachenko, 2023. "Using arbitrary precision arithmetic to sharpen identification analysis for DSGE models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 38(4), pages 644-667, June.
    103. Alban Moura, 2020. "LED: An estimated DSGE model of the Luxembourg economy for policy analysis," BCL working papers 147, Central Bank of Luxembourg.
    104. Dana Galizia, 2021. "Saddle cycles: Solving rational expectations models featuring limit cycles (or chaos) using perturbation methods," Quantitative Economics, Econometric Society, vol. 12(3), pages 869-901, July.
    105. Yantao Gao & Xilong Yao & Wenxi Wang & Xin Liu, 2019. "Dynamic effect of environmental tax on export trade: Based on DSGE mode," Energy & Environment, , vol. 30(7), pages 1275-1290, November.
    106. Guljanov, Gaygysyz & Mutschler, Willi & Trede, Mark, 2022. "Pruned Skewed Kalman Filter and Smoother: With Application to the Yield Curve," Dynare Working Papers 78, CEPREMAP.
    107. Fang, Xiang & Liu, Yang, 2021. "Volatility, intermediaries, and exchange rates," Journal of Financial Economics, Elsevier, vol. 141(1), pages 217-233.
    108. Thales A. J. T. T. Maion & Marcio Issao Nakane, 2019. "News shocks and consumer expectations: evidence for Brazil," Working Papers, Department of Economics 2019_11, University of São Paulo (FEA-USP).
    109. Zachary Stangebye, 2023. "Long-Term Sovereign Debt: A Steady State Analysis," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 48, pages 107-131, April.
    110. Iskrev, Nikolay, 2019. "What to expect when you're calibrating: Measuring the effect of calibration on the estimation of macroeconomic models," Journal of Economic Dynamics and Control, Elsevier, vol. 99(C), pages 54-81.
    111. Pablo Garcia Sanchez & Luca Marchiori & Olivier Pierrard, 2025. "Long-term care expenditures and investment decisions under uncertainty," Journal of Population Economics, Springer;European Society for Population Economics, vol. 38(1), pages 1-23, March.
    112. Jonas E. Arias & Jesús Fernández-Villaverde & Juan Rubio Ramírez & Minchul Shin, 2021. "The Causal Effects of Lockdown Policies on Health and Macroeconomic Outcomes," NBER Working Papers 28617, National Bureau of Economic Research, Inc.
    113. Nikolay Hristov, 2016. "The Ifo DSGE Model for the German Economy," ifo Working Paper Series 210, ifo Institute - Leibniz Institute for Economic Research at the University of Munich.
    114. Parra-Alvarez, Juan Carlos & Polattimur, Hamza & Posch, Olaf, 2021. "Risk matters: Breaking certainty equivalence in linear approximations," Journal of Economic Dynamics and Control, Elsevier, vol. 133(C).
    115. Colla-De-Robertis, Esteban & Da-Rocha, Jose-Maria & García-Cutrin, Javier & Gutiérrez, María-José & Prellezo, Raul, 2018. "A bayesian estimation of the economic effects of the Common Fisheries Policy on the Galician Fleet: a dynamic stochastic general equilibrium approach," MPRA Paper 89944, University Library of Munich, Germany.
    116. Juan Carlos Parra-Alvarez & Hamza Polattimur & Olaf Posch, 2020. "Risk Matters: Breaking Certainty Equivalence," CESifo Working Paper Series 8250, CESifo.
    117. Giorgio Fagiolo & Andrea Roventini, 2016. "Macroeconomic Policy in DGSE and Agent-Based Models Redux," Working Papers hal-03459348, HAL.
    118. Cakici, S. Meral, 2024. "Risk premium in a real business cycle framework," International Review of Economics & Finance, Elsevier, vol. 91(C), pages 111-122.
    119. Basso, Henrique S., 2022. "Asset holdings, information aggregation in secondary markets and credit cycles," Journal of Economic Dynamics and Control, Elsevier, vol. 138(C).
    120. Dmitry Kreptsev & Sergei Seleznev, 2018. "Forecasting for the Russian Economy Using Small-Scale DSGE Models," Russian Journal of Money and Finance, Bank of Russia, vol. 77(2), pages 51-67, June.
    121. Yoichiro Tamanyu, 2020. "The Role of Nonlinearity in Indeterminate Models: An Application to Expectations-Driven Liquidity Traps," Keio-IES Discussion Paper Series 2020-023, Institute for Economics Studies, Keio University.
    122. Evans, David & Evans, George W. & McGough, Bruce, 2022. "The RPEs of RBCs and other DSGEs," Journal of Economic Dynamics and Control, Elsevier, vol. 143(C).
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    124. Morris, Stephen D., 2017. "DSGE pileups," Journal of Economic Dynamics and Control, Elsevier, vol. 74(C), pages 56-86.
    125. Minsu Chang, 2019. "A House Without a Ring: The Role of Changing Marital Transitions for Housing Decisions," 2019 Meeting Papers 514, Society for Economic Dynamics.
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    Cited by:

    1. Jia, Zhiyang & Vattø, Trine Engh, 2021. "Predicting the path of labor supply responses when state dependence matters," Labour Economics, Elsevier, vol. 71(C).
    2. John Rust, 2014. "The Limits of Inference with Theory: A Review of Wolpin (2013)," Journal of Economic Literature, American Economic Association, vol. 52(3), pages 820-850, September.
    3. Maibom, Jonas, 2021. "The Danish Labor Market Experiments: Methods and Findings," Nationaløkonomisk tidsskrift, Nationaløkonomisk Forening, vol. 2021(1), pages 1-21.
    4. Sebastian Galiani & Juan Pantano, 2021. "Structural Models: Inception and Frontier," NBER Working Papers 28698, National Bureau of Economic Research, Inc.
    5. Paul Duetting & Michal Feldman & Tomasz Ponitka & Ermis Soumalias, 2025. "The Pseudo-Dimension of Contracts," Papers 2501.14474, arXiv.org.
    6. de Bresser, Jochem, 2021. "Evaluating the Accuracy of Counterfactuals The Role of Heterogeneous Expectations in Life Cycle Models," Other publications TiSEM a7e2b4d8-fed0-4e86-926f-d, Tilburg University, School of Economics and Management.
    7. de Bresser, Jochem, 2021. "Evaluating the Accuracy of Counterfactuals The Role of Heterogeneous Expectations in Life Cycle Models," Discussion Paper 2021-034, Tilburg University, Center for Economic Research.
    8. Banghua Zhu & Sai Praneeth Karimireddy & Jiantao Jiao & Michael I. Jordan, 2023. "Online Learning in a Creator Economy," Papers 2305.11381, arXiv.org.
    9. Banghua Zhu & Stephen Bates & Zhuoran Yang & Yixin Wang & Jiantao Jiao & Michael I. Jordan, 2022. "The Sample Complexity of Online Contract Design," Papers 2211.05732, arXiv.org, revised May 2023.

  23. Marco Del Negro & Raiden B. Hasegawa & Frank Schorfheide, 2014. "Dynamic prediction pools: an investigation of financial frictions and forecasting performance," Staff Reports 695, Federal Reserve Bank of New York.

    Cited by:

    1. George Papadopoulos & Savas Papadopoulos & Thomas Sager, 2016. "Credit risk stress testing for EU15 banks: a model combination approach," Working Papers 203, Bank of Greece.
    2. Pablo Cuba-Borda & Sanjay R. Singh, 2022. "Understanding Persistent ZLB: Theory and Assessment," Working Papers 346, University of California, Davis, Department of Economics.
    3. Francesca Monti, 2015. "Can a data-rich environment help identify the sources of model misspecification?," Discussion Papers 1505, Centre for Macroeconomics (CFM).
    4. Davide Pettenuzzo & Francesco Ravazzolo, 2014. "Optimal portfolio choice under decision-based model combinations," Working Paper 2014/15, Norges Bank.
    5. Tony Chernis & Niko Hauzenberger & Florian Huber & Gary Koop & James Mitchell, 2023. "Predictive Density Combination Using a Tree-Based Synthesis Function," Working Papers 23-30, Federal Reserve Bank of Cleveland.
    6. Čapek, Jan & Crespo Cuaresma, Jesús & Hauzenberger, Niko & Reichel, Vlastimil, 2023. "Macroeconomic forecasting in the euro area using predictive combinations of DSGE models," International Journal of Forecasting, Elsevier, vol. 39(4), pages 1820-1838.
    7. Miranda-Agrippino, Silvia & Ricco, Giovanni, 2018. "Bayesian vector autoregressions," LSE Research Online Documents on Economics 87393, London School of Economics and Political Science, LSE Library.
    8. S. BoraÄŸan Aruoba & Pablo Cuba-Borda & Frank Schorfheide, 2012. "Macroeconomic Dynamics Near the ZLB: A Tale of Two Countries," PIER Working Paper Archive 14-035, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania, revised 19 Jun 2014.
    9. Canova, Fabio & Matthes, Christian, 2018. "A composite likelihood approach for dynamic structural models," CEPR Discussion Papers 13245, C.E.P.R. Discussion Papers.
    10. Nalan Basturk & Agnieszka Borowska & Stefano Grassi & Lennart Hoogerheide & Herman K. van Dijk, 2018. "Forecast Density Combinations of Dynamic Models and Data Driven Portfolio Strategies," Working Paper 2018/10, Norges Bank.
    11. Michael Cai & Marco Del Negro & Marc Giannoni & Abhi Gupta & Pearl Li & Erica Moszkowski, 2018. "DSGE forecasts of the lost recovery," Staff Reports 844, Federal Reserve Bank of New York.
    12. Lindé, Jesper & Smets, Frank & Wouters, Rafael, 2016. "Challenges for Central Banks´ Macro Models," Working Paper Series 323, Sveriges Riksbank (Central Bank of Sweden).
    13. Chin, Kuo-Hsuan & Li, Xue, 2019. "Bayesian forecast combination in VAR-DSGE models," Journal of Macroeconomics, Elsevier, vol. 59(C), pages 278-298.
    14. Martinez-Martin Jaime & Morris Richard & Onorante Luca & Piersanti Fabio Massimo, 2024. "Merging Structural and Reduced-Form Models for Forecasting," The B.E. Journal of Macroeconomics, De Gruyter, vol. 24(1), pages 399-437, January.
    15. Fabio Canova & Christian Matthes, 2021. "Dealing with misspecification in structural macroeconometric models," Quantitative Economics, Econometric Society, vol. 12(2), pages 313-350, May.
    16. Christoffel, Kai & Farkas, Mátyás, 2025. "Managing the risks of inflation expectation de-anchoring," Working Paper Series 3082, European Central Bank.
    17. Holtemöller, Oliver & Schult, Christoph, 2018. "Expectation formation, financial frictions, and forecasting performance of dynamic stochastic general equilibrium models," IWH Discussion Papers 15/2018, Halle Institute for Economic Research (IWH).
    18. Andreas Beyer & Benoît Coeuré & Caterina Mendicino, 2017. "Foreword – The crisis, ten years after: Lessons learnt for monetary and financial research," Economie et Statistique / Economics and Statistics, Institut National de la Statistique et des Etudes Economiques (INSEE), issue 494-495-4, pages 45-64.
    19. Boriss Siliverstovs & Daniel Wochner, 2020. "Recessions as Breadwinner for Forecasters State-Dependent Evaluation of Predictive Ability: Evidence from Big Macroeconomic US Data," Working Papers 2020/02, Latvijas Banka.
    20. Nicholas Fawcett & George Kapetanios & James Mitchell & Simon Price, 2014. "Generalised density forecast combinations," Bank of England working papers 492, Bank of England.
    21. Loria, Francesca & Matthes, Christian & Wang, Mu-Chun, 2022. "Economic theories and macroeconomic reality," Journal of Monetary Economics, Elsevier, vol. 126(C), pages 105-117.
    22. Cars Hommes & Sebastian Poledna, 2023. "Analyzing and forecasting economic crises with an agent-based model of the euro area," Tinbergen Institute Discussion Papers 23-013/II, Tinbergen Institute.
    23. Kenneth Sæterhagen Paulsen & Tuva Marie Fastbø & Tobias Ingebrigtsen, 2022. "Aggregate density forecast of models using disaggregate data - A copula approach," Working Paper 2022/5, Norges Bank.
    24. Marcus P. A. Cobb, 2020. "Aggregate density forecasting from disaggregate components using Bayesian VARs," Empirical Economics, Springer, vol. 58(1), pages 287-312, January.
    25. Sylvain Barde, 2019. "Macroeconomic simulation comparison with a multivariate extension of the Markov Information Criterion," Studies in Economics 1908, School of Economics, University of Kent.
    26. Tony Chernis & Taylor Webley, 2022. "Nowcasting Canadian GDP with Density Combinations," Discussion Papers 2022-12, Bank of Canada.
    27. Ryan Cumings-Menon & Minchul Shin, 2020. "Probability Forecast Combination via Entropy Regularized Wasserstein Distance," Working Papers 20-31/R, Federal Reserve Bank of Philadelphia.
    28. Piergiorgio Alessandri & Haroon Mumtaz, 2014. "Financial Conditions and Density Forecasts for US Output and Inflation," Working Papers 715, Queen Mary University of London, School of Economics and Finance.
    29. Rodríguez, Aldo, 2020. "Estimación Bayesiana de un Modelo de Economía Abierta con Sector Bancario," Dynare Working Papers 52, CEPREMAP.
    30. Kenichiro McAlinn & Kosaku Takanashi, 2019. "Mean-shift least squares model averaging," Papers 1912.01194, arXiv.org.
    31. Nonejad, Nima, 2022. "Predicting equity premium out-of-sample by conditioning on newspaper-based uncertainty measures: A comparative study," International Review of Financial Analysis, Elsevier, vol. 83(C).
    32. Deák, Szabolcs & Levine, Paul & Mirza, Afrasiab & Pearlman, Joseph, 2025. "All models are wrong but all can be useful: Robust policy design using prediction pools," Journal of Economic Dynamics and Control, Elsevier, vol. 176(C).
    33. Gupta Rangan & Sun Xiaojin, 2025. "Time-Varying Parameter Four-Equation DSGE Model," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 29(2), pages 235-246.
    34. Deniz Igan & Thomas Lambert & Prachi Mishra & Eden Zhang, 2024. "The Politics of the Paycheck Protection Program," Working Papers 133, Ashoka University, Department of Economics.
    35. Ana Beatriz Galvão & Liudas Giraitis & George Kapetanios & Katerina Petrova, 2015. "A Time Varying DSGE Model with Financial Frictions," Working Papers 769, Queen Mary University of London, School of Economics and Finance.
    36. Domit, Sílvia & Monti, Francesca & Sokol, Andrej, 2019. "Forecasting the UK economy with a medium-scale Bayesian VAR," International Journal of Forecasting, Elsevier, vol. 35(4), pages 1669-1678.
    37. Knut Are Aastveit & Jamie Cross & Herman K. Djik, 2021. "Quantifying time-varying forecast uncertainty and risk for the real price of oil," Working Papers No 03/2021, Centre for Applied Macro- and Petroleum economics (CAMP), BI Norwegian Business School.
    38. Iiboshi, Hirokuni, 2016. "A multiple DSGE-VAR approach: Priors from a combination of DSGE models and evidence from Japan," Japan and the World Economy, Elsevier, vol. 40(C), pages 1-8.
    39. Martin, Gael M. & Frazier, David T. & Maneesoonthorn, Worapree & Loaiza-Maya, Rubén & Huber, Florian & Koop, Gary & Maheu, John & Nibbering, Didier & Panagiotelis, Anastasios, 2024. "Bayesian forecasting in economics and finance: A modern review," International Journal of Forecasting, Elsevier, vol. 40(2), pages 811-839.
    40. Li, Li & Kang, Yanfei & Li, Feng, 2023. "Bayesian forecast combination using time-varying features," International Journal of Forecasting, Elsevier, vol. 39(3), pages 1287-1302.
    41. Shifu Jiang, 2017. "The Ramsey Cooperative and Non-Cooperative Unconventional Monetary Policy," FIW Working Paper series 180, FIW.
    42. Anders Warne & Günter Coenen & Kai Christoffel, 2017. "Marginalized Predictive Likelihood Comparisons of Linear Gaussian State‐Space Models with Applications to DSGE, DSGE‐VAR, and VAR Models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 32(1), pages 103-119, January.
    43. Christopher McDonald & Craig Thamotheram & Shaun P. Vahey & Elizabeth C. Wakerly, 2016. "Assessing the Economic Value of Probabilistic Forecasts in the Presence of an Inflation Target," CAMA Working Papers 2016-40, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    44. Chernis Tony, 2024. "Combining Large Numbers of Density Predictions with Bayesian Predictive Synthesis," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 28(2), pages 293-317, April.
    45. Boriss Siliverstovs & Daniel S. Wochner, 2021. "State‐dependent evaluation of predictive ability," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 40(3), pages 547-574, April.
    46. Kenichiro McAlinn & Knut Are Aastveit & Jouchi Nakajima & Mike West, 2019. "Multivariate Bayesian Predictive Synthesis in Macroeconomic Forecasting," Working Paper 2019/2, Norges Bank.
    47. Barbara Rossi, 2019. "Forecasting in the presence of instabilities: How do we know whether models predict well and how to improve them," Economics Working Papers 1711, Department of Economics and Business, Universitat Pompeu Fabra, revised Jul 2021.
    48. Wang, Shengjie & Kang, Yanfei & Petropoulos, Fotios, 2024. "Combining probabilistic forecasts of intermittent demand," European Journal of Operational Research, Elsevier, vol. 315(3), pages 1038-1048.
    49. Knüppel, Malte & Krüger, Fabian, 2019. "Forecast uncertainty, disagreement, and the linear pool," Discussion Papers 28/2019, Deutsche Bundesbank.
    50. Mawuli Segnon & Rangan Gupta & Stelios Bekiros & Mark E. Wohar, 2016. "Forecasting US GNP Growth: The Role of Uncertainty," Working Papers 201667, University of Pretoria, Department of Economics.
    51. Gael M. Martin & David T. Frazier & Ruben Loaiza-Maya & Florian Huber & Gary Koop & John Maheu & Didier Nibbering & Anastasios Panagiotelis, 2023. "Bayesian Forecasting in the 21st Century: A Modern Review," Monash Econometrics and Business Statistics Working Papers 1/23, Monash University, Department of Econometrics and Business Statistics.
    52. Roberto Gómez‐Cram, 2022. "Late to Recessions: Stocks and the Business Cycle," Journal of Finance, American Finance Association, vol. 77(2), pages 923-966, April.
    53. Pauwels, Laurent & Radchenko, Peter & Vasnev, Andrey, 2020. "Higher Moment Constraints for Predictive Density Combinations," Working Papers BAWP-2020-01, University of Sydney Business School, Discipline of Business Analytics.
    54. Kim, Dohan, 2025. "The Asymmetric Bank Distress Amplifier of Recessions," Policy Research Working Paper Series 11170, The World Bank.
    55. Onorante, Luca & Raftery, Adrian E., 2016. "Dynamic model averaging in large model spaces using dynamic Occam׳s window," European Economic Review, Elsevier, vol. 81(C), pages 2-14.
    56. Erlan Konebayev, 2022. "Forecasting a commodity-exporting small open developing economy using DSGE and DSGE-BVAR," NAC Analytica Working Paper 24, NAC Analytica, Nazarbayev University, revised May 2022.
    57. Jin, Xin & Maheu, John M. & Yang, Qiao, 2022. "Infinite Markov pooling of predictive distributions," Journal of Econometrics, Elsevier, vol. 228(2), pages 302-321.
    58. Shifu Jiang, 2022. "Optimal Credit, Monetary, and Fiscal Policy under Occasional Financial Frictions and the Zero Lower Bound," International Journal of Central Banking, International Journal of Central Banking, vol. 18(1), pages 151-197, March.
    59. Michael Cai & Marco Del Negro & Edward P. Herbst & Ethan Matlin & Reca Sarfati & Frank Schorfheide, 2020. "Online Estimation of DSGE Models," Finance and Economics Discussion Series 2020-023, Board of Governors of the Federal Reserve System (U.S.).
    60. Rachidi Kotchoni & Maxime Leroux & Dalibor Stevanovic, 2019. "Macroeconomic Forecast Accuracy in data-rich environment," Post-Print hal-02435757, HAL.
    61. Dovern, Jonas & Feldkircher, Martin & Huber, Florian, 2016. "Does joint modelling of the world economy pay off? Evaluating global forecasts from a Bayesian GVAR," Journal of Economic Dynamics and Control, Elsevier, vol. 70(C), pages 86-100.
    62. Josef Hollmayr & Michael Kuehl, 2016. "Imperfect Information about Financial Frictions and Consequences for the Business Cycle," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 22, pages 179-207, October.
    63. Sean Langcake & Tim Robinson, 2018. "Forecasting the Australian economy with DSGE and BVAR models," Applied Economics, Taylor & Francis Journals, vol. 50(3), pages 251-267, January.
    64. Fabio Busetti, 2017. "Quantile Aggregation of Density Forecasts," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 79(4), pages 495-512, August.
    65. Martin Iseringhausen & Ivan Petrella & Konstantinos Theodoridis, 2022. "Aggregate skewness and the business cycle," Working Papers 53, European Stability Mechanism.
    66. Holden, Tom D. & Levine, Paul & Swarbrick, Jonathan M., 2018. "Credit crunches from occasionally binding bank borrowing constraints," Discussion Papers 57/2018, Deutsche Bundesbank.
    67. Daniel Wochner, 2020. "Dynamic Factor Trees and Forests – A Theory-led Machine Learning Framework for Non-Linear and State-Dependent Short-Term U.S. GDP Growth Predictions," KOF Working papers 20-472, KOF Swiss Economic Institute, ETH Zurich.
    68. K=osaku Takanashi & Kenichiro McAlinn, 2019. "Equivariant online predictions of non-stationary time series," Papers 1911.08662, arXiv.org, revised Jun 2023.
    69. McAdam, Peter & Warne, Anders, 2020. "Density forecast combinations: the real-time dimension," Working Paper Series 2378, European Central Bank.
    70. Tan, Fei, 2018. "A Frequency-Domain Approach to Dynamic Macroeconomic Models," MPRA Paper 90487, University Library of Munich, Germany.
    71. Granziera, Eleonora & Sekhposyan, Tatevik, 2019. "Predicting relative forecasting performance: An empirical investigation," International Journal of Forecasting, Elsevier, vol. 35(4), pages 1636-1657.
    72. Szabolcs Deák & Paul Levine & Afrasiab Mirza & Joseph Pearlman, 2019. "Designing Robust Monetary Policy Using Prediction Pools," School of Economics Discussion Papers 1219, School of Economics, University of Surrey.
    73. Li, Bing & Pei, Pei & Tan, Fei, 2021. "Financial distress and fiscal inflation," Journal of Macroeconomics, Elsevier, vol. 70(C).
    74. Paul Ho & Thomas A. Lubik & Christian Matthes, 2023. "Averaging Impulse Responses Using Prediction Pools," Working Paper 23-04, Federal Reserve Bank of Richmond.
    75. Gergely Akos Ganics, 2017. "Optimal density forecast combinations," Working Papers 1751, Banco de España.
    76. Rubio-Ramírez, Juan Francisco & Schorfheide, Frank & Fernández-Villaverde, Jesús, 2015. "Solution and Estimation Methods for DSGE Models," CEPR Discussion Papers 11032, C.E.P.R. Discussion Papers.
    77. Suh, Hyunduk & Walker, Todd B., 2016. "Taking financial frictions to the data," Journal of Economic Dynamics and Control, Elsevier, vol. 64(C), pages 39-65.
    78. Hasumi, Ryo & Iiboshi, Hirokuni & Matsumae, Tatsuyoshi & Nakamura, Daisuke, 2019. "Does a financial accelerator improve forecasts during financial crises? Evidence from Japan with prediction-pooling methods," Journal of Asian Economics, Elsevier, vol. 60(C), pages 45-68.
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    80. Knut Are Aastveit & James Mitchell & Francesco Ravazzolo & Herman van Dijk, 2018. "The Evolution of Forecast Density Combinations in Economics," Tinbergen Institute Discussion Papers 18-069/III, Tinbergen Institute.
    81. Roberto Casarin & Stefano Grassi & Francesco Ravazzolo & Herman K. van Dijk, 2015. "Dynamic predictive density combinations for large data sets in economics and finance," Working Paper 2015/12, Norges Bank.
    82. Juan C. Méndez-Vizcaíno & Alexander Guarin & César Anzola-Bravo & Anderson Grajales-Olarte, 2021. "Characterizing and Communicating the Balance of Risks of Macroeconomic Forecasts: A Predictive Density Approach for Colombia," Borradores de Economia 1178, Banco de la Republica de Colombia.
    83. De Luigi, Clara & Huber, Florian, 2018. "Debt regimes and the effectiveness of monetary policy," Journal of Economic Dynamics and Control, Elsevier, vol. 93(C), pages 218-238.
    84. Zhang, Keyi & Gençay, Ramazan & Ege Yazgan, M., 2017. "Application of wavelet decomposition in time-series forecasting," Economics Letters, Elsevier, vol. 158(C), pages 41-46.
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    87. Doriane Intungane, 2023. "The impact of macroprudential policies on the transmission of shocks across financially integrated countries," Review of International Economics, Wiley Blackwell, vol. 31(1), pages 249-273, February.
    88. Zheng Fan & Worapree Maneesoonthorn & Yong Song, 2025. "A New Perspective of the Meese-Rogoff Puzzle: Application of Sparse Dynamic Shrinkage," Papers 2507.14408, arXiv.org.
    89. Federico Bassetti & Roberto Casarin & Francesco Ravazzolo, 2019. "Density Forecasting," BEMPS - Bozen Economics & Management Paper Series BEMPS59, Faculty of Economics and Management at the Free University of Bozen.
    90. Wright, Jonathan H., 2019. "Some observations on forecasting and policy," International Journal of Forecasting, Elsevier, vol. 35(3), pages 1186-1192.
    91. Poledna, Sebastian & Miess, Michael Gregor & Hommes, Cars & Rabitsch, Katrin, 2023. "Economic forecasting with an agent-based model," European Economic Review, Elsevier, vol. 151(C).
    92. Binder, Michael & Lieberknecht, Philipp & Quintana, Jorge & Wieland, Volker, 2017. "Model uncertainty in macroeconomics: On the implications of financial frictions," IMFS Working Paper Series 114, Goethe University Frankfurt, Institute for Monetary and Financial Stability (IMFS).
    93. Marco Del Negro, 2017. "EconomicDynamics Interview: Marco Del Negro about DSGE modelling in policy," EconomicDynamics Newsletter, Review of Economic Dynamics, vol. 18(1), April.
    94. Pettenuzzo, Davide & Timmermann, Allan & Valkanov, Rossen, 2016. "A MIDAS approach to modeling first and second moment dynamics," Journal of Econometrics, Elsevier, vol. 193(2), pages 315-334.
    95. Binder, Michael & Lieberknecht, Philipp & Quintana, Jorge & Wieland, Volker, 2018. "Robust Macroprudential Policy Rules under Model Uncertainty," VfS Annual Conference 2018 (Freiburg, Breisgau): Digital Economy 181503, Verein für Socialpolitik / German Economic Association.
    96. Georgios Papadopoulos & Dionysios Chionis & Nikolaos P. Rachaniotis, 2018. "Macro-financial linkages during tranquil and crisis periods: evidence from stressed economies," Risk Management, Palgrave Macmillan, vol. 20(2), pages 142-166, May.
    97. Ben S. Bernanke, 2018. "The Real Effects of Disrupted Credit: Evidence from the Global Financial Crisis," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 49(2 (Fall)), pages 251-342.
    98. Lindé, J. & Smets, F. & Wouters, R., 2016. "Challenges for Central Banks’ Macro Models," Handbook of Macroeconomics, in: J. B. Taylor & Harald Uhlig (ed.), Handbook of Macroeconomics, edition 1, volume 2, chapter 0, pages 2185-2262, Elsevier.
    99. McAlinn, Kenichiro & West, Mike, 2019. "Dynamic Bayesian predictive synthesis in time series forecasting," Journal of Econometrics, Elsevier, vol. 210(1), pages 155-169.
    100. Dmitry Kreptsev & Sergei Seleznev, 2018. "Forecasting for the Russian Economy Using Small-Scale DSGE Models," Russian Journal of Money and Finance, Bank of Russia, vol. 77(2), pages 51-67, June.
    101. Andreas Tryphonides, 2017. "Set Identified Dynamic Economies and Robustness to Misspecification," Papers 1712.03675, arXiv.org, revised Jan 2018.
    102. Piergiorgio Alessandri & Haroon Mumtaz, 2017. "Online Appendix to "Financial conditions and density forecasts for US output and inflation"," Online Appendices 14-103, Review of Economic Dynamics.
    103. G. Kenny, 2014. "Comment," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 32(4), pages 500-504, October.
    104. Baran, Sándor & Lerch, Sebastian, 2018. "Combining predictive distributions for the statistical post-processing of ensemble forecasts," International Journal of Forecasting, Elsevier, vol. 34(3), pages 477-496.
    105. Krzysztof Drachal, 2018. "Some Novel Bayesian Model Combination Schemes: An Application to Commodities Prices," Sustainability, MDPI, vol. 10(8), pages 1-27, August.
    106. Bernaciak, Dawid & Griffin, Jim E., 2024. "A loss discounting framework for model averaging and selection in time series models," International Journal of Forecasting, Elsevier, vol. 40(4), pages 1721-1733.
    107. Sílvia Domit & Francesca Monti & Andrej Sokol, 2016. "A Bayesian VAR benchmark for COMPASS," Bank of England working papers 583, Bank of England.
    108. Martin Harding & Rafael Wouters, 2022. "Risk and State-Dependent Financial Frictions," Staff Working Papers 22-37, Bank of Canada.

  24. S. Boragan Aruoba & Francis X. Diebold & Jeremy J. Nalewaik & Frank Schorfheide & Dongho Song, 2013. "Improving GDP measurement: a measurement-error perspective," Working Papers 13-16, Federal Reserve Bank of Philadelphia.

    Cited by:

    1. Jeremy J. Nalewaik, 2014. "Missing Variation in the Great Moderation: Lack of Signal Error and OLS Regression," Finance and Economics Discussion Series 2014-27, Board of Governors of the Federal Reserve System (U.S.).
    2. Daniel Aaronson & Scott A. Brave & Michael Fogarty & Ezra Karger & Spencer D. Krane, 2021. "Tracking U.S. Consumers in Real Time with a New Weekly Index of Retail Trade," Working Paper Series WP-2021-05, Federal Reserve Bank of Chicago, revised 18 Jun 2021.
    3. Michael Cai & Marco Del Negro & Marc Giannoni & Abhi Gupta & Pearl Li & Erica Moszkowski, 2018. "DSGE forecasts of the lost recovery," Staff Reports 844, Federal Reserve Bank of New York.
    4. Anesti, Nikoleta & Galvao, Ana Beatriz & Miranda-Agrippino, Silvia, 2018. "Uncertain kingdom: nowcasting GDP and its revisions," LSE Research Online Documents on Economics 90382, London School of Economics and Political Science, LSE Library.
    5. Nalewaik, Jeremy & Pinto, Eugénio, 2015. "The response of capital goods shipments to demand over the business cycle," Journal of Macroeconomics, Elsevier, vol. 43(C), pages 62-80.
    6. Sekine, Toshitaka, 2022. "Looking from Gross Domestic Income: Alternative view of Japan’s economy," Japan and the World Economy, Elsevier, vol. 64(C).
    7. John C. Williams, 2015. "The recovery’s final frontier?," Speech 150, Federal Reserve Bank of San Francisco.
    8. Matteo Barigozzi & Matteo Luciani, 2017. "Common Factors, Trends, and Cycles in Large Datasets," Finance and Economics Discussion Series 2017-111, Board of Governors of the Federal Reserve System (U.S.).
    9. Gary Koop & Stuart McIntyre & James Mitchell & Aubrey Poon, 2022. "Reconciled Estimates of Monthly GDP in the US," Working Papers 22-01, Federal Reserve Bank of Cleveland.
    10. Loria, Francesca & Matthes, Christian & Wang, Mu-Chun, 2022. "Economic theories and macroeconomic reality," Journal of Monetary Economics, Elsevier, vol. 126(C), pages 105-117.
    11. Daniel Rees & David Lancaster & Richard Finlay, 2014. "A State-space Approach to Australian GDP Measurement," RBA Research Discussion Papers rdp2014-12, Reserve Bank of Australia.
    12. Tom Stark, 2014. "Real-time performance of GDPplus and alternative model-based measures of GDP: 2005—2014," Research Rap Special Report, Federal Reserve Bank of Philadelphia, issue Nov.
    13. Almuzara, Martin & Amengual, Dante & Fiorentini, Gabriele & Sentana, Enrique, 2022. "GDP Solera: The Ideal Vintage Mix," CEPR Discussion Papers 17196, C.E.P.R. Discussion Papers.
    14. Jan-Benedict E. M. Steenkamp & Alberto Maydeu-Olivares, 2023. "Unrestricted factor analysis: A powerful alternative to confirmatory factor analysis," Journal of the Academy of Marketing Science, Springer, vol. 51(1), pages 86-113, January.
    15. Prydz, Espen Beer & Jolliffe, Dean & Serajuddin, Umar, 2021. "Mind the Gap," GLO Discussion Paper Series 944, Global Labor Organization (GLO).
    16. Eiji Goto & Jan P.A.M. Jacobs & Tara M. Sinclair & Simon van Norden, 2021. "Employment Reconciliation and Nowcasting," Working Papers 2021-007, The George Washington University, The Center for Economic Research.
    17. Martín Almuzara & Dante Amengual & Enrique Sentana, 2019. "Normality tests for latent variables," Quantitative Economics, Econometric Society, vol. 10(3), pages 981-1017, July.
    18. John C. Williams, 2015. "Looking forward, forward looking: the path for monetary policy," Speech 138, Federal Reserve Bank of San Francisco.
    19. Eduardo Rossi & Paolo Santucci de Magistris, 2014. "Indirect inference with time series observed with error," CREATES Research Papers 2014-57, Department of Economics and Business Economics, Aarhus University.
    20. John C. Williams, 2015. "Data is the new black: monetary policy by the numbers," Speech 140, Federal Reserve Bank of San Francisco.
    21. Demetrescu, Matei & Kruse-Becher, Robinson, 2025. "Is U.S. real output growth non-normal? A tale of time-varying location and scale," Journal of Economic Dynamics and Control, Elsevier, vol. 171(C).
    22. Ben Zeev, Nadav & Pappa, Evi, 2015. "Multipliers of unexpected increases in defense spending: An empirical investigation," Journal of Economic Dynamics and Control, Elsevier, vol. 57(C), pages 205-226.
    23. Andrew C. Chang & Phillip Li, 2018. "Measurement Error In Macroeconomic Data And Economics Research: Data Revisions, Gross Domestic Product, And Gross Domestic Income," Economic Inquiry, Western Economic Association International, vol. 56(3), pages 1846-1869, July.
    24. Tom Stark, 2015. "First quarters in the national income and product accounts," Research Rap Special Report, Federal Reserve Bank of Philadelphia, issue May.
    25. Yannic Stucki, 2022. "Measuring Swiss employment growth: a measurement-error approach," Working Papers 2022-11, Swiss National Bank.
    26. Nikoleta Anesti & Ana Beatriz Galvão & Silvia Miranda‐Agrippino, 2022. "Uncertain Kingdom: Nowcasting Gross Domestic Product and its revisions," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 37(1), pages 42-62, January.
    27. Alessandro Giovannelli & Marco Lippi & Tommaso Proietti, 2023. "Band-Pass Filtering with High-Dimensional Time Series," CEIS Research Paper 559, Tor Vergata University, CEIS, revised 15 Jun 2023.
    28. Kurt Graden Lunsford, 2023. "The Discrepancy Between Expenditure- and Income-Side Estimates of US Output," Economic Commentary, Federal Reserve Bank of Cleveland, vol. 2023(01), pages 1-7, January.
    29. Alifatussaadah, Ardiana & Primariesty, Anindya Diva & Soleh, Agus Mohamad & Andriansyah, Andriansyah, 2019. "Nowcasting Indonesia's GDP Growth: Are Fiscal Data Useful?," MPRA Paper 105252, University Library of Munich, Germany.
    30. Jan P.A.M. Jacobs & Samad Sarferaz & Simon van Norden & Jan-Egbert Sturm, 2013. "Modeling Multivariate Data Revisions," CIRANO Working Papers 2013s-44, CIRANO.
    31. Florian Eckert & Nina Mühlebach, 2023. "Global and local components of output gaps," Empirical Economics, Springer, vol. 65(5), pages 2301-2331, November.
    32. Gyurkovics, Éva & Takács, Tibor, 2022. "Robust energy-to-peak filter design for a class of unstable polytopic systems with a macroeconomic application," Applied Mathematics and Computation, Elsevier, vol. 420(C).
    33. Reinelt, Timo & Meier, Matthias, 2020. "Monetary policy, markup dispersion, and aggregate TFP," Working Paper Series 2427, European Central Bank.
    34. Francis X. Diebold & Maximilian Gobel & Philippe Goulet Coulombe & Glenn D. Rudebusch & Boyuan Zhang, 2020. "Optimal Combination of Arctic Sea Ice Extent Measures: A Dynamic Factor Modeling Approach," Papers 2003.14276, arXiv.org, revised Aug 2020.
    35. Arabinda Basistha, 2023. "Estimation of short‐run predictive factor for US growth using state employment data," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 42(1), pages 34-50, January.
    36. Petrella, Ivan & Venditti, Fabrizio & Delle Monache, Davide, 2016. "Adaptive state space models with applications to the business cycle and financial stress," CEPR Discussion Papers 11599, C.E.P.R. Discussion Papers.
    37. Tomaz Cajner & Leland D. Crane & Ryan A. Decker & Adrian Hamins-Puertolas & Christopher Kurz, 2019. "Improving the Accuracy of Economic Measurement with Multiple Data Sources: The Case of Payroll Employment Data," NBER Chapters, in: Big Data for Twenty-First-Century Economic Statistics, pages 147-170, National Bureau of Economic Research, Inc.
    38. Peter A.G. van Bergeijk, 2017. "Making Data Measurement Errors Transparent: The Case of the IMF," World Economics, World Economics, 1 Ivory Square, Plantation Wharf, London, United Kingdom, SW11 3UE, vol. 18(3), pages 133-154, July.
    39. Boragan Aruoba & Francis X. Diebold & Jeremy Nalewaik & Frank Schorfheide & Dongho Song, 2011. "Improving GDP Measurement: A Forecast Combination Perspective," PIER Working Paper Archive 11-028, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.
    40. Onno Kleen, 2024. "Scaling and measurement error sensitivity of scoring rules for distribution forecasts," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 39(5), pages 833-849, August.
    41. Garciga, Christian & Knotek II, Edward S., 2019. "Forecasting GDP growth with NIPA aggregates: In search of core GDP," International Journal of Forecasting, Elsevier, vol. 35(4), pages 1814-1828.
    42. Jiang, Fuwei & Kang, Jie & Meng, Lingchao, 2024. "Certainty of uncertainty for asset pricing," Journal of Empirical Finance, Elsevier, vol. 78(C).
    43. Matei Demetrescu & Robinson Kruse-Becher, 2021. "Is U.S. real output growth really non-normal? Testing distributional assumptions in time-varying location-scale models," CREATES Research Papers 2021-07, Department of Economics and Business Economics, Aarhus University.
    44. Carriero, Andrea & Clements, Michael P. & Galvão, Ana Beatriz, 2015. "Forecasting with Bayesian multivariate vintage-based VARs," International Journal of Forecasting, Elsevier, vol. 31(3), pages 757-768.
    45. Geng, Pei, 2022. "Estimation of functional-coefficient autoregressive models with measurement error," Journal of Multivariate Analysis, Elsevier, vol. 192(C).
    46. John G. Fernald & J. Christina Wang, 2015. "Why has the cyclicality of productivity changed?: what does it mean?," Current Policy Perspectives 15-6, Federal Reserve Bank of Boston.
    47. Gospodinov, Nikolay & Komunjer, Ivana & Ng, Serena, 2017. "Simulated minimum distance estimation of dynamic models with errors-in-variables," Journal of Econometrics, Elsevier, vol. 200(2), pages 181-193.
    48. Lee, Hangyu & Kim, Tae Bong, 2023. "The effectiveness of labor market indicators for conducting monetary policy: Evidence from the Korean economy," Economic Modelling, Elsevier, vol. 118(C).
    49. Pinkwart, Nicolas, 2018. "Short-term forecasting economic activity in Germany: A supply and demand side system of bridge equations," Discussion Papers 36/2018, Deutsche Bundesbank.
    50. John C. Williams, 2015. "Looking forward: the path for monetary policy," FRBSF Economic Letter, Federal Reserve Bank of San Francisco.
    51. Wankeun Oh & Jonghyun Yoo, 2020. "Long-Term Increases and Recent Slowdowns of CO 2 Emissions in Korea," Sustainability, MDPI, vol. 12(17), pages 1-13, August.
    52. Nikolay Gospodinov & Ivana Komunjer & Serena Ng, 2014. "Minimum Distance Estimation of Dynamic Models with Errors-In-Variables," FRB Atlanta Working Paper 2014-11, Federal Reserve Bank of Atlanta.
    53. van Bergeijk, P.A.G., 2017. "Measurement error of global production," ISS Working Papers - General Series 632, International Institute of Social Studies of Erasmus University Rotterdam (ISS), The Hague.
    54. Matthew Read, 2024. "Sign Restrictions and Supply-demand Decompositions of Inflation," RBA Research Discussion Papers rdp2024-05, Reserve Bank of Australia.
    55. Ammi, Mehdi & Arpin, Emmanuelle & Allin, Sara, 2021. "Interpreting forty-three-year trends of expenditures on public health in Canada: Long-run trends, temporal periods, and data differences," Health Policy, Elsevier, vol. 125(12), pages 1557-1564.
    56. Hu, Yingyao & Yao, Jiaxiong, 2022. "Illuminating economic growth," Journal of Econometrics, Elsevier, vol. 228(2), pages 359-378.
    57. Víctor M. Guerrero & Juan A. Mendoza, 2019. "On measuring economic growth from outer space: a single country approach," Empirical Economics, Springer, vol. 57(3), pages 971-990, September.

  25. S. Boragan Aruoba & Frank Schorfheide, 2013. "Macroeconomic dynamics near the ZLB: a tale of two equilibria," Working Papers 13-29, Federal Reserve Bank of Philadelphia.

    Cited by:

    1. Gilles Dufrénot & Guillaume A. Khayat, 2017. "Monetary Policy Switching in the Euro Area and Multiple Steady States: An Empirical Investigation," Post-Print hal-01590000, HAL.
    2. Bernard Dumas & Marcel R. Savioz, 2020. "A theory of the nominal character of stock securities," Working Papers 2020-03, Swiss National Bank.
    3. William T. Gavin & Benjamin D. Keen & Alexander W. Richter & Nathaniel A. Throckmorton, 2013. "The stimulative effect of forward guidance," Working Papers 2013-38, Federal Reserve Bank of St. Louis.
    4. Howard Kung & Gonzalo Morales & Francesco Bianchi, 2015. "Monetary/Fiscal Policy Mix and Asset Prices," 2015 Meeting Papers 1224, Society for Economic Dynamics.
    5. S. Boragan Aruoba & Luigi Bocola & Frank Schorfheide, 2013. "Assessing DSGE model nonlinearities," Working Papers 13-47, Federal Reserve Bank of Philadelphia.
    6. Nathaniel Throckmorton & Benjamin Keen & Alexander Richter & William Gavin, 2013. "Global Dynamics at the Zero Lower Bound," 2013 Meeting Papers 839, Society for Economic Dynamics.
    7. Roc Armenter, 2013. "The perils of nominal targets," Working Papers 14-2, Federal Reserve Bank of Philadelphia.
    8. Andrew Binning & Junior Maih, 2015. "Sigma Point Filters For Dynamic Nonlinear Regime Switching Models," Working Papers No 4/2015, Centre for Applied Macro- and Petroleum economics (CAMP), BI Norwegian Business School.
    9. Howard Kung & Gonzalo Morales & Alexandre Corhay, 2017. "Fiscal Discount Rates and Debt Maturity," 2017 Meeting Papers 840, Society for Economic Dynamics.
    10. Bianchi, Francesco & Melosi, Leonardo, 2013. "Escaping the Great Recession," CEPR Discussion Papers 9643, C.E.P.R. Discussion Papers.
    11. Ryan Niladri Banerjee & Fabrizio Zampolli, 2016. "What drives the short-run costs of fiscal consolidation? Evidence from OECD countries," BIS Working Papers 553, Bank for International Settlements.
    12. Kenneth L. Judd & Lilia Maliar & Serguei Maliar, 2017. "Lower Bounds on Approximation Errors to Numerical Solutions of Dynamic Economic Models," Econometrica, Econometric Society, vol. 85, pages 991-1012, May.
    13. Gavin, William T. & Keen, Benjamin D. & Richter, Alexander W. & Throckmorton, Nathaniel A., 2015. "The zero lower bound, the dual mandate, and unconventional dynamics," Journal of Economic Dynamics and Control, Elsevier, vol. 55(C), pages 14-38.
    14. Mitsuru Katagiri, 2016. "Forward Guidance as a Monetary Policy Rule," Bank of Japan Working Paper Series 16-E-6, Bank of Japan.
    15. Chen, Han, 2017. "The effects of the near-zero interest rate policy in a regime-switching dynamic stochastic general equilibrium model," Journal of Monetary Economics, Elsevier, vol. 90(C), pages 176-192.
    16. Sohei Kaihatsu & Koichiro Kamada & Mitsuru Katagiri, 2016. "Theoretical Foundations for Quantitative Easing," IMES Discussion Paper Series 16-E-04, Institute for Monetary and Economic Studies, Bank of Japan.
    17. Valerie A. Ramey & Sarah Zubairy, 2018. "Government Spending Multipliers in Good Times and in Bad: Evidence from US Historical Data," Journal of Political Economy, University of Chicago Press, vol. 126(2), pages 850-901.
    18. Mauro Napoletano & Andrea Roventini & Jean-Luc Gaffard, 2015. "Time-Varying Fiscal Multipliers in an Agent-Based Model with Credit Rationing," GREDEG Working Papers 2015-30, Groupe de REcherche en Droit, Economie, Gestion (GREDEG CNRS), Université Côte d'Azur, France.
    19. Roulleau-Pasdeloup, Jordan, 2020. "Optimal monetary policy and determinacy under active/passive regimes," European Economic Review, Elsevier, vol. 130(C).
    20. Luigi Bocola, 2014. "The Pass-Through of Sovereign Risk," 2014 Meeting Papers 1286, Society for Economic Dynamics.
    21. Campbell Leith & Ding Liu, 2014. "The inflation bias under Calvo and Rotemberg pricing," Working Papers 2014_06, Business School - Economics, University of Glasgow.
    22. Ngo, Phuong V., 2021. "Fiscal Multipliers At The Zero Lower Bound: The Role Of Government Spending Persistence," Macroeconomic Dynamics, Cambridge University Press, vol. 25(4), pages 970-997, June.
    23. Gilles Dufrénot & Anwar Khayat, 2014. "Monetary Policy Switching in the Euro Area and Multiple Equilibria: An Empirical Investigation," AMSE Working Papers 1408, Aix-Marseille School of Economics, France, revised Jan 2014.
    24. Hirose, Yasuo, 2020. "An Estimated Dsge Model With A Deflation Steady State," Macroeconomic Dynamics, Cambridge University Press, vol. 24(5), pages 1151-1185, July.
    25. Devereux, Michael B. & Young, Eric R. & Yu, Changhua, 2019. "Capital controls and monetary policy in sudden-stop economies," Journal of Monetary Economics, Elsevier, vol. 103(C), pages 52-74.
    26. Piero Ferri & Fabio Tramontana, 2022. "Autonomous demand, multiple equilibria and unemployment dynamics," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 17(1), pages 209-223, January.
    27. James Morley, 2016. "Macro-Finance Linkages," Journal of Economic Surveys, Wiley Blackwell, vol. 30(4), pages 698-711, September.
    28. Mathieu Boullot, 2017. "Secular Stagnation, Liquidity Trap and Rational Asset Price Bubbles," Working Papers halshs-01295012, HAL.
    29. Marx, Magali & Mojon, Benoît & Velde, François R., 2021. "Why have interest rates fallen far below the return on capital?," Journal of Monetary Economics, Elsevier, vol. 124(S), pages 57-76.
    30. Albertini, Julien & Lan, Hong, 2016. "The importance of time-varying parameters in new Keynesian models with zero lower bound," SFB 649 Discussion Papers 2016-013, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk.
    31. Mengus, Eric & Barthelemy, Jean, 2016. "The Signaling Effect of Raising Inflation," HEC Research Papers Series 1162, HEC Paris, revised 09 Jan 2017.
    32. Tim Hursey & Alexander Wolman & Andreas Hornstein, 2014. "Monetary Policy and Global Equilibria in an Economy with Capital," 2014 Meeting Papers 733, Society for Economic Dynamics.
    33. Kenneth L. Judd & Lilia Maliar & Serguei Maliar, 2014. "Lower Bounds on Approximation Errors: Testing the Hypothesis That a Numerical Solution Is Accurate?," BYU Macroeconomics and Computational Laboratory Working Paper Series 2014-06, Brigham Young University, Department of Economics, BYU Macroeconomics and Computational Laboratory.
    34. Fernando M. Duarte & Anna Zabai, 2015. "An interest rate rule to uniquely implement the optimal equilibrium in a liquidity trap," Staff Reports 745, Federal Reserve Bank of New York.
    35. Yasuo Hirose & Atsushi Inoue, 2013. "Zero Lower Bound and Parameter Bias in an Estimated DSGE Model," DSSR Discussion Papers 14, Graduate School of Economics and Management, Tohoku University.
    36. Kaufmann, Daniel & Bäurle, Gregor, 2013. "Exchange Rate and Price Dynamics at the Zero Lower Bound," VfS Annual Conference 2013 (Duesseldorf): Competition Policy and Regulation in a Global Economic Order 79872, Verein für Socialpolitik / German Economic Association.
    37. Viktor Tsyrennikov & Serguei Maliar & Lilia Maliar & Cristina Arellano, 2015. "Envelope Condition Method with an Application to Default Risk Models," 2015 Meeting Papers 1239, Society for Economic Dynamics.
    38. De Grauwe, Paul & Ji, Yuemei, 2016. "Inflation Targets And The Zero Lower Bound In A Behavioral Macroeconomic Model," CEPR Discussion Papers 11320, C.E.P.R. Discussion Papers.
    39. Valerio Scalone, 2018. "Estimating Non-Linear DSGEs with the Approximate Bayesian Computation: an application to the Zero Lower Bound," Working papers 688, Banque de France.
    40. Yunjong Eo & Nigel Mcclung, 2025. "Determinacy and E‐Stability with Interest Rate Rules at the Zero Lower Bound," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 57(4), pages 951-979, June.
    41. Roc Armenter, 2014. "The Perils of Nominal Targets," 2014 Meeting Papers 428, Society for Economic Dynamics.
    42. Phuong Ngo & Jianjun Miao, 2015. "Does Calvo Meet Rotemberg at the Zero Lower Bound?," 2015 Meeting Papers 602, Society for Economic Dynamics.
    43. Paul Grauwe & Yuemei Ji, 2018. "Behavioural Economics is Useful Also in Macroeconomics: The Role of Animal Spirits," Comparative Economic Studies, Palgrave Macmillan;Association for Comparative Economic Studies, vol. 60(2), pages 203-216, June.
    44. Alexander W. Richter & Nathaniel A. Throckmorton, 2014. "The Zero Lower Bound: Frequency, Duration, and Numerical Convergence," Auburn Economics Working Paper Series auwp2014-09, Department of Economics, Auburn University.
    45. Francois Velde & Benoït Mojon & Magali Marx, 2017. "Why Are Real Interest Rates So Low?," 2017 Meeting Papers 1292, Society for Economic Dynamics.
    46. Robert Amano & Thomas J. Carter & Rhys R. Mendes, 2016. "Comparing Forward Guidance and Neo-Fisherianism as Strategies for Escaping Liquidity Traps," Staff Analytical Notes 16-16, Bank of Canada.
    47. Ragna Alstadheim, 2010. "The zero lower bound on the interest rate and a Neo-Classical Phillips curve," Working Paper 2010/13, Norges Bank.
    48. Alexander Richter & Nathaniel Throckmorton & Todd Walker, 2014. "Accuracy, Speed and Robustness of Policy Function Iteration," Computational Economics, Springer;Society for Computational Economics, vol. 44(4), pages 445-476, December.
    49. Volker Hahn, 2017. "Policy Effects in a Simple Fully Non-Linear New Keynesian Model of the Liquidity Trap," Working Paper Series of the Department of Economics, University of Konstanz 2017-05, Department of Economics, University of Konstanz.
    50. Albertini, Julien & Poirier, Arthur, 2014. "Unemployment benefits extensions at the zero lower bound on nominal interest rate," SFB 649 Discussion Papers 2014-019, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk.

  26. Xu Cheng & Zhipeng Liao & Frank Schorfheide, 2013. "Shrinkage estimation of high-dimensional factor models with structural instabilities," Working Papers 14-4, Federal Reserve Bank of Philadelphia.

    Cited by:

    1. Duan, Jiangtao & Bai, Jushan & Han, Xu, 2023. "Quasi-maximum likelihood estimation of break point in high-dimensional factor models," Journal of Econometrics, Elsevier, vol. 233(1), pages 209-236.
    2. Wang, Lu & Zhou, Ruichao & Wu, Jianhong, 2021. "Determining the number of breaks in large dimensional factor models with structural changes," Economics Letters, Elsevier, vol. 199(C).
    3. Han, Xu & Inoue, Atsushi, 2015. "Tests For Parameter Instability In Dynamic Factor Models," Econometric Theory, Cambridge University Press, vol. 31(5), pages 1117-1152, October.
    4. Laurent Callot & Johannes Tang Kristensen, 2015. "Regularized Estimation of Structural Instability in Factor Models: The US Macroeconomy and the Great Moderation," CREATES Research Papers 2015-29, Department of Economics and Business Economics, Aarhus University.
    5. Badi H. Baltagi & Chihwa Kao & Fa Wang, 2016. "The Identification and Estimation of a Large Factor Model with Structural Instability," Center for Policy Research Working Papers 194, Center for Policy Research, Maxwell School, Syracuse University.
    6. Jongrim Ha & M. Ayhan Kose & Franziska Ohnsorge, 2021. "One-stop source: A global database of inflation," CAMA Working Papers 2021-59, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    7. Maxime Leroux & Rachidi Kotchoni & Dalibor Stevanovic, 2017. "Forecasting economic activity in data-rich environment," Working Papers hal-04141668, HAL.
    8. Bai, Jushan & Han, Xu & Shi, Yutang, 2020. "Estimation and inference of change points in high-dimensional factor models," Journal of Econometrics, Elsevier, vol. 219(1), pages 66-100.
    9. Barigozzi, Matteo & Cho, Haeran & Fryzlewicz, Piotr, 2018. "Simultaneous multiple change-point and factor analysis for high-dimensional time series," LSE Research Online Documents on Economics 88110, London School of Economics and Political Science, LSE Library.
    10. Jaeheon Jung, 2019. "Estimating a Large Covariance Matrix in Time-varying Factor Models," Papers 1910.11965, arXiv.org.
    11. Marcellino, Massimiliano & Aastveit, Knut Are & Carriero, Andrea & Clark, Todd, 2016. "Have Standard VARs Remained Stable Since the Crisis?," CEPR Discussion Papers 11558, C.E.P.R. Discussion Papers.
    12. Matteo Barigozzi & Marc Hallin, 2023. "Dynamic Factor Models: a Genealogy," Working Papers ECARES 2023-15, ULB -- Universite Libre de Bruxelles.
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    Cited by:

    1. Christopher Anderson, 2021. "Consumption-Based Asset Pricing When Consumers Make Mistakes," Finance and Economics Discussion Series 2021-015, Board of Governors of the Federal Reserve System (U.S.).
    2. Rhys M. Bidder & Matthew E. Smith, 2013. "Doubts and Variability: A Robust Perspective on Exotic Consumption Series," Working Paper Series 2013-28, Federal Reserve Bank of San Francisco.
    3. Christophe Gouel & Qingyin Ma & John Stachurski, 2023. "Interest Rate Dynamics and Commodity Prices," Papers 2308.07577, arXiv.org, revised Sep 2024.
    4. Marlène Isoré & Urszula Szczerbowicz, 2015. "Disaster Risk and Preference Shifts in a New Keynesian Model," Working Papers 2015-16, CEPII research center.
    5. Pierlauro Lopez & J. David López-Salido & Francisco Vazquez-Grande, 2022. "Accounting for Risk in a Linearized Solution: How to Approximate the Risky Steady State and Around It," Working Papers 22-14, Federal Reserve Bank of Cleveland.
    6. Zhang, Jian & Kong, Dongmin & Liu, Hening & Wu, Ji, 2019. "Asset pricing with time varying pessimism and rare disasters," International Review of Economics & Finance, Elsevier, vol. 60(C), pages 165-175.
    7. Gao, Lin & Hitzemann, Steffen & Shaliastovich, Ivan & Xu, Lai, 2022. "Oil volatility risk," Journal of Financial Economics, Elsevier, vol. 144(2), pages 456-491.
    8. Ascari, Guido & Magnusson, Leandro M. & Mavroeidis, Sophocles, 2021. "Empirical evidence on the Euler equation for consumption in the US," Journal of Monetary Economics, Elsevier, vol. 117(C), pages 129-152.
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    1. Koh, Dongya & Santaeulà lia-Llopis, Raül, 2022. "Countercyclical Elasticity of Substitution," CEPR Discussion Papers 17246, C.E.P.R. Discussion Papers.
    2. Jinill Kim & Francisco Ruge‐Murcia, 2019. "Extreme Events And Optimal Monetary Policy," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 60(2), pages 939-963, May.
    3. Pablo Cuba-Borda & Sanjay R. Singh, 2022. "Understanding Persistent ZLB: Theory and Assessment," Working Papers 346, University of California, Davis, Department of Economics.
    4. Boyarchenko, Nina & Adrian, Tobias & Giannone, Domenico, 2020. "Multimodality in Macro-Financial Dynamics," CEPR Discussion Papers 15088, C.E.P.R. Discussion Papers.
    5. S. BoraÄŸan Aruoba & Pablo Cuba-Borda & Frank Schorfheide, 2012. "Macroeconomic Dynamics Near the ZLB: A Tale of Two Countries," PIER Working Paper Archive 14-035, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania, revised 19 Jun 2014.
    6. Nadav Ben Zeev, 2019. "Asymmetric Business Cycles In Emerging Market Economies," Working Papers 1909, Ben-Gurion University of the Negev, Department of Economics.
    7. Philippe Goulet Coulombe, 2020. "The Macroeconomy as a Random Forest," Papers 2006.12724, arXiv.org, revised Mar 2021.
    8. Mineyama, Tomohide, 2022. "Revisiting the optimal inflation rate with downward nominal wage rigidity: The role of heterogeneity," Journal of Economic Dynamics and Control, Elsevier, vol. 139(C).
    9. Martin M. Andreasen & Giovanni Caggiano & Efrem Castelnuovo & Giovanni Pellegrino, 2021. "Why Does Risk Matter More in Recessions than in Expansions?," CESifo Working Paper Series 9328, CESifo.
    10. Yasuo Hirose & Takeki Sunakawa, 2019. "Review of Solution and Estimation Methods for Nonlinear Dynamic Stochastic General Equilibrium Models with the Zero Lower Bound," The Japanese Economic Review, Springer, vol. 70(1), pages 51-104, March.
    11. Loretta J. Mester, 2016. "Recent Inflation Developments and Challenges for Research and Monetary Policymaking : The 47th Konstanz Seminar on Monetary Theory and Monetary Policy, Insel Reichenau, Germany 5-12-2016," Speech 71, Federal Reserve Bank of Cleveland.
    12. Iwasaki, Yuto & Muto, Ichiro & Shintani, Mototsugu, 2021. "Missing wage inflation? Estimating the natural rate of unemployment in a nonlinear DSGE model," European Economic Review, Elsevier, vol. 132(C).
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    19. Caiani, Alessandro & Godin, Antoine & Caverzasi, Eugenio & Gallegati, Mauro & Kinsella, Stephen & Stiglitz, Joseph E., 2016. "Agent based-stock flow consistent macroeconomics: Towards a benchmark model," Journal of Economic Dynamics and Control, Elsevier, vol. 69(C), pages 375-408.
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    21. Andreasen, Martin M. & Caggiano, Giovanni & Castelnuovo, Efrem & Pellegrino, Giovanni, 2024. "Does risk matter more in recessions than in expansions? Implications for monetary policy," Journal of Monetary Economics, Elsevier, vol. 143(C).
    22. Yugang He & Zhuoqi Teng, 2024. "Navigating Uncharted Waters: The Transformation of the Bank of Korea’s Monetary Policy in Response to Global Economic Uncertainty," Mathematics, MDPI, vol. 12(11), pages 1-24, May.
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    24. Stefano Fasani, 2021. "On the Long-run Unemployment, Inflation, and Volatility," Working Papers 924, Queen Mary University of London, School of Economics and Finance.
    25. Yuto Iwasaki & Ichiro Muto & Mototsugu Shintani, 2018. "Missing Wage Inflation? Downward Wage Rigidity and the Natural Rate of Unemployment," Bank of Japan Research Laboratory Series 18-E-3, Bank of Japan.
    26. James Morley & Irina B Panovska, 2017. "Is Business Cycle Asymmetry Intrinsic in Industrialized Economies?," Discussion Papers 2016-12A, School of Economics, The University of New South Wales.
    27. Filippo Ippolito & Alessandro Villa, 2022. "Levered Returns and Capital Structure Imbalances," Working Paper Series WP 2022-42, Federal Reserve Bank of Chicago.
    28. James Morley, 2019. "The business cycle: periodic pandemic or rollercoaster ride?," International Journal of Economic Policy Studies, Springer, vol. 13(2), pages 425-431, August.
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    30. Paccagnini, Alessia, 2017. "Dealing with Misspecification in DSGE Models: A Survey," MPRA Paper 82914, University Library of Munich, Germany.
    31. Nadav Ben Zeev, 2019. "Identification of Sign-Dependency of Impulse Responses," Working Papers 1907, Ben-Gurion University of the Negev, Department of Economics.
    32. Yuriy Gorodnichenko & Serena Ng, 2017. "Level and Volatility Factors in Macroeconomic Data," NBER Working Papers 23672, National Bureau of Economic Research, Inc.
    33. Chevaughn van der Westhuizen & Renee van Eyden & Goodness C. Aye, 2023. "Monetary Policy Effectiveness in the Face of Uncertainty: The Real Macroeconomic Impact of a Monetary Policy Shock in South Africa during High and Low Uncertainty States," Working Papers 202331, University of Pretoria, Department of Economics.
    34. Arčabić, Vladimir & Panovska, Irina & Tica, Josip, 2024. "Business cycle synchronization and asymmetry in the European Union," Economic Modelling, Elsevier, vol. 139(C).
    35. Jean-François Rouillard, 2017. "Credit Crunch and Downward Nominal Wage Rigidities," Cahiers de recherche 17-05, Departement d'économique de l'École de gestion à l'Université de Sherbrooke, revised Apr 2019.
    36. Chen, Peng & Miao, Xinru, 2024. "Understanding the role of China's factors in international commodity price fluctuations: A perspective of monetary-fiscal policy interaction," Economic Analysis and Policy, Elsevier, vol. 81(C), pages 1464-1483.
    37. Leland E. Farmer, 2021. "The discretization filter: A simple way to estimate nonlinear state space models," Quantitative Economics, Econometric Society, vol. 12(1), pages 41-76, January.
    38. Martin Harding & Rafael Wouters, 2022. "Risk and State-Dependent Financial Frictions," Staff Working Papers 22-37, Bank of Canada.

  30. Edward P. Herbst & Frank Schorfheide, 2013. "Sequential Monte Carlo sampling for DSGE models," Finance and Economics Discussion Series 2013-43, Board of Governors of the Federal Reserve System (U.S.).

    Cited by:

    1. Isabelle Salle & Murat Yıldızoğlu, 2014. "Efficient Sampling and Meta-Modeling for Computational Economic Models," Computational Economics, Springer;Society for Computational Economics, vol. 44(4), pages 507-536, December.
    2. Xiaohong Chen & Timothy M. Christensen & Elie Tamer, 2017. "Monte Carlo confidence sets for identified sets," CeMMAP working papers CWP43/17, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    3. EO, Yunjong & LIE, Denny, 2017. "The Role of Inflation Target Adjustment in Stabilization Policy," Discussion paper series HIAS-E-58, Hitotsubashi Institute for Advanced Study, Hitotsubashi University.
    4. Maheu, John M & Song, Yong, 2017. "An Efficient Bayesian Approach to Multiple Structural Change in Multivariate Time Series," MPRA Paper 79211, University Library of Munich, Germany.
    5. Schorfheide, Frank & Aruoba, Boragan & Mlikota, Marko & Villalvazo, Sergio, 2021. "SVARs With Occasionally-Binding Constraints," CEPR Discussion Papers 15923, C.E.P.R. Discussion Papers.
    6. Ascari, Guido & Bonomolo, Paolo & Haque, Qazi, 2024. "The Long-Run Phillips Curve is ... a Curve," CEPR Discussion Papers 19069, C.E.P.R. Discussion Papers.
    7. Hirokuni Iiboshi & Mototsugu Shintani & Kozo Ueda, 2018. "Estimating a Nonlinear New Keynesian Model with a Zero Lower Bound for Japan," Working Papers e120, Tokyo Center for Economic Research.
    8. Zhang, Bo & Dai, Wei, 2020. "Trend inflation and macroeconomic stability in a small open economy," Economic Modelling, Elsevier, vol. 91(C), pages 769-778.
    9. Arnaud Dufays, 2016. "Evolutionary Sequential Monte Carlo Samplers for Change-Point Models," Econometrics, MDPI, vol. 4(1), pages 1-33, March.
    10. Yasuo Hirose & Takeki Sunakawa, 2019. "Review of Solution and Estimation Methods for Nonlinear Dynamic Stochastic General Equilibrium Models with the Zero Lower Bound," The Japanese Economic Review, Springer, vol. 70(1), pages 51-104, March.
    11. Daniele Siena, 2021. "The Euro Area Periphery and Imbalances: Is it an Anticipation Story?," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 40, pages 278-308, April.
    12. Willi Mutschler, 2014. "Identification of DSGE Models - the Effect of Higher-Order Approximation and Pruning," CQE Working Papers 3314, Center for Quantitative Economics (CQE), University of Muenster.
    13. Marco Del Negro & Marc P. Giannoni & Frank Schorfheide, 2014. "Inflation in the Great Recession and New Keynesian Models," NBER Working Papers 20055, National Bureau of Economic Research, Inc.
    14. Calvet, Laurent E. & Czellar, Veronika, 2015. "Through the looking glass: Indirect inference via simple equilibria," Journal of Econometrics, Elsevier, vol. 185(2), pages 343-358.
    15. Haque, Qazi & Groshenny, Nicolas & Weder, Mark, 2019. "Do we really know that U.S. monetary policy was destabilizing in the 1970s?," Bank of Finland Research Discussion Papers 20/2019, Bank of Finland.
    16. Michal Andrle & Miroslav Plašil, 2016. "System Priors for Econometric Time Series," IMF Working Papers 2016/231, International Monetary Fund.
    17. Hess Chung & Edward Herbst & Michael T. Kiley, 2014. "Effective Monetary Policy Strategies in New Keynesian Models: A Re-examination," NBER Working Papers 20611, National Bureau of Economic Research, Inc.
    18. Edward P. Herbst & Frank Schorfheide, 2016. "Tempered Particle Filtering," Finance and Economics Discussion Series 2016-072, Board of Governors of the Federal Reserve System (U.S.).
    19. Yasuo Hirose & Takushi Kurozumi & Willem Van Zandweghe, 2020. "Monetary Policy and Macroeconomic Stability Revisited," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 37, pages 255-274, July.
    20. Böhl, Gregor & Goy, Gavin & Strobel, Felix, 2020. "A structural investigation of quantitative easing," IMFS Working Paper Series 142, Goethe University Frankfurt, Institute for Monetary and Financial Stability (IMFS).
    21. Thorsten Drautzburg, 2020. "A narrative approach to a fiscal DSGE model," Quantitative Economics, Econometric Society, vol. 11(2), pages 801-837, May.
    22. Jang, Tae-Seok & Sacht, Stephen, 2025. "Moment matching for Bayesian inference in the baseline New-Keynesian model," HWWI Working Paper Series 4/2025, Hamburg Institute of International Economics (HWWI).
    23. Fabian Goessling, 2018. "Randomized Quasi Sequential Markov Chain Monte Carlo²," CQE Working Papers 7018, Center for Quantitative Economics (CQE), University of Muenster.
    24. Böhl, Gregor, 2022. "Ensemble MCMC sampling for robust Bayesian inference," IMFS Working Paper Series 177, Goethe University Frankfurt, Institute for Monetary and Financial Stability (IMFS).
    25. Thuy Lan Nguyen & Wataru Miyamoto, 2014. "News shocks and Business cycles: Evidence from forecast data," 2014 Meeting Papers 259, Society for Economic Dynamics.
    26. Fabio Franco, 2019. "Likelihood Induced by Moment Functions Using Particle Filter: a Comparison of Particle GMM and Standard MCMC Methods," CEIS Research Paper 477, Tor Vergata University, CEIS, revised 04 Dec 2019.
    27. Radu Titus MARINESCU & Madalina Gabriela ANGHEL & Aurelian DIACONU, 2016. "Theoretical and Practical Aspects of Analysis of Investment’s Sensitivity," Romanian Statistical Review Supplement, Romanian Statistical Review, vol. 64(8), pages 37-47, August.
    28. Ho, Paul, 2023. "Global robust Bayesian analysis in large models," Journal of Econometrics, Elsevier, vol. 235(2), pages 608-642.
    29. Roberto Casarin & Stefano Grassi & Francesco Ravazzolo & Herman van Dijk, 2022. "A Flexible Predictive Density Combination Model for Large Financial Data Sets in Regular and Crisis Periods," Tinbergen Institute Discussion Papers 22-013/III, Tinbergen Institute.
    30. Zhang, Jinyu & Zhang, Qiaosen & Li, Yong & Wang, Qianchao, 2023. "Sequential Bayesian inference for agent-based models with application to the Chinese business cycle," Economic Modelling, Elsevier, vol. 126(C).
    31. Tyler Atkinson & Alexander W. Richter & Nathaniel A. Throckmorton, 2018. "The Zero Lower Bound and Estimation Accuracy," Working Papers 1804, Federal Reserve Bank of Dallas.
    32. Kiley, Michael T. & Sim, Jae, 2017. "Optimal monetary and macroprudential policies: Gains and pitfalls in a model of financial intermediation," Journal of Macroeconomics, Elsevier, vol. 54(PB), pages 232-259.
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    34. Jonas E. Arias & Juan F. Rubio-Ram'irez & Minchul Shin, 2025. "A Gibbs Sampler for Efficient Bayesian Inference in Sign-Identified SVARs," Papers 2505.23542, arXiv.org, revised May 2025.
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    54. Martin Burda & Remi Daviet, 2018. "Hamiltonian Sequential Monte Carlo with Application to Consumer Choice Behavior," Working Papers tecipa-618, University of Toronto, Department of Economics.
    55. Gianluca Cubadda & Francesco Giancaterini & Stefano Grassi, 2025. "Sequential Monte Carlo for Noncausal Processes," Papers 2501.03945, arXiv.org.
    56. Yin, Ming, 2015. "Estimating Gaussian Mixture Autoregressive model with Sequential Monte Carlo algorithm: A parallel GPU implementation," MPRA Paper 88111, University Library of Munich, Germany, revised 2018.
    57. Wolf, Elias & Montes-Galdón, Carlos & Paredes, Joan, 2024. "Conditional density forecasting: a tempered importance sampling approach," VfS Annual Conference 2024 (Berlin): Upcoming Labor Market Challenges 302442, Verein für Socialpolitik / German Economic Association.
    58. Joshua Brault & Louis Phaneuf, 2021. "Higher Order Interest-Smoothing, Time-Varying Inflation Target and the Prospect of Indeterminacy," Working Papers 21-10, Chair in macroeconomics and forecasting, University of Quebec in Montreal's School of Management.
    59. Daniel L. Greenwald & Martin Lettau & Sydney C. Ludvigson, 2019. "How the Wealth Was Won: Factor Shares as Market Fundamentals," NBER Working Papers 25769, National Bureau of Economic Research, Inc.
    60. Alvaro Salazar-Perez & Hernán D. Seoane, 2025. "Perturbating and Estimating DSGE Models in Julia," Computational Economics, Springer;Society for Computational Economics, vol. 65(4), pages 2379-2396, April.
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    62. Ho, Paul, 2024. "Estimating the effects of demographics on interest rates: A robust Bayesian perspective," Journal of Economic Dynamics and Control, Elsevier, vol. 158(C).
    63. Lunardelli, Andre, 2025. "Fairness, ambiguity, wage markups and disinflation costs," MPRA Paper 126505, University Library of Munich, Germany.
    64. Arnaud Dufays, 2014. "On the conjugacy of off-line and on-line Sequential Monte Carlo Samplers," Working Paper Research 263, National Bank of Belgium.
    65. Wang, Nianling & Wang, Qianchao & Li, Yong, 2025. "Estimation and forecast of carbon emission market volatility based on model averaging method," Economic Modelling, Elsevier, vol. 143(C).
    66. Nikolay Iskrev, 2018. "Are asset price data informative about news shocks? A DSGE perspective," Working Papers REM 2018/33, ISEG - Lisbon School of Economics and Management, REM, Universidade de Lisboa.
    67. Ettmeier, Stephanie & Kriwoluzky, Alexander, 2024. "Active or passive? Revisiting the role of fiscal policy during high inflation," European Economic Review, Elsevier, vol. 170(C).
    68. Dufays, Arnaud & Rombouts, Jeroen V.K., 2020. "Relevant parameter changes in structural break models," Journal of Econometrics, Elsevier, vol. 217(1), pages 46-78.
    69. Rubio-Ramírez, Juan Francisco & Schorfheide, Frank & Fernández-Villaverde, Jesús, 2015. "Solution and Estimation Methods for DSGE Models," CEPR Discussion Papers 11032, C.E.P.R. Discussion Papers.
    70. Ettmeier, Stephanie & Kriwoluzky, Alexander, 2019. "Active, or passive? Revisiting the role of fiscal policy in the Great Inflation," VfS Annual Conference 2019 (Leipzig): 30 Years after the Fall of the Berlin Wall - Democracy and Market Economy 203609, Verein für Socialpolitik / German Economic Association.
    71. Zhongjun Qu & Denis Tkachenko, 2023. "Using arbitrary precision arithmetic to sharpen identification analysis for DSGE models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 38(4), pages 644-667, June.
    72. Jonas E. Arias & Juan F. Rubio-Ramirez & Minchul Shin, 2025. "A Gibbs Sampler for Efficient Bayesian Inference in Sign-Identified SVARs," Working Papers 25-19, Federal Reserve Bank of Philadelphia.
    73. Kirstin Hubrich & Daniel F. Waggoner, 2022. "The transmission of financial shocks and leverage of financial institutions: An endogenous regime switching framework," Finance and Economics Discussion Series 2022-034, Board of Governors of the Federal Reserve System (U.S.).
    74. Jørgensen, Peter L. & Ravn, Søren H., 2022. "The inflation response to government spending shocks: A fiscal price puzzle?," European Economic Review, Elsevier, vol. 141(C).
    75. Mark Bognanni & Edward P. Herbst, 2014. "Estimating (Markov-Switching) VAR Models without Gibbs Sampling: A Sequential Monte Carlo Approach," Working Papers (Old Series) 1427, Federal Reserve Bank of Cleveland.
    76. Kapetanios, George & Price, Simon & Theodoridis, Konstantinos, 2015. "A new approach to multi-step forecasting using dynamic stochastic general equilibrium models," Economics Letters, Elsevier, vol. 136(C), pages 237-242.
    77. Takefumi Yamazaki, 2018. "Financial friction sources in emerging economies: Structural estimation of sovereign default models," Discussion papers ron303, Policy Research Institute, Ministry of Finance Japan.
    78. Giovanni Nicolò, 2025. "US Monetary Policy and Indeterminacy," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 40(2), pages 195-213, March.
    79. Joshua Brault & Louis Phaneuf, 2025. "What Drives Low and Stable Inflation?," Working Papers 25-02, Chair in macroeconomics and forecasting, University of Quebec in Montreal's School of Management, revised Feb 2025.
    80. Waggoner, Daniel F. & Wu, Hongwei & Zha, Tao, 2016. "Striated Metropolis–Hastings sampler for high-dimensional models," Journal of Econometrics, Elsevier, vol. 192(2), pages 406-420.
    81. Iskrev, Nikolay, 2019. "On the sources of information about latent variables in DSGE models," European Economic Review, Elsevier, vol. 119(C), pages 318-332.
    82. Yasuo Hirose & Takushi Kurozumi & Willem Van Zandweghe, 2021. "Inflation Gap Persistence, Indeterminacy, and Monetary Policy," Working Papers 21-05, Federal Reserve Bank of Cleveland.
    83. Wolf, Elias, 2023. "Estimating Growth at Risk with Skewed Stochastic Volatility Models," VfS Annual Conference 2023 (Regensburg): Growth and the "sociale Frage" 277696, Verein für Socialpolitik / German Economic Association.
    84. Eric M. Leeper & Nora Traum & Todd B. Walker, 2015. "Clearing Up the Fiscal Multiplier Morass: Prior and Posterior Analysis," NBER Working Papers 21433, National Bureau of Economic Research, Inc.
    85. Martin Bruns & Michele Piffer, 2018. "Bayesian Structural VAR models: a new approach for prior beliefs on impulse responses," Working Papers 878, Queen Mary University of London, School of Economics and Finance.
    86. Markku Lanne & Jani Luoto, 2018. "Data†Driven Identification Constraints for DSGE Models," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 80(2), pages 236-258, April.
    87. Dufays, A. & Rombouts, V., 2015. "Sparse Change-Point Time Series Models," LIDAM Discussion Papers CORE 2015032, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    88. Ross Doppelt & Keith O'Hara, 2018. "Bayesian Estimation of Fractionally Integrated Vector Autoregressions and an Application to Identified Technology Shocks," 2018 Meeting Papers 1212, Society for Economic Dynamics.
    89. Stefano Grassi & Marco Lorusso & Francesco Ravazzolo, 2025. "Adaptive Importance Sampling Estimation of an Open Economy Model with Fiscal Policy," BEMPS - Bozen Economics & Management Paper Series BEMPS111, Faculty of Economics and Management at the Free University of Bozen.
    90. Joshua Brault, 2024. "Parallel Tempering for DSGE Estimation," Staff Working Papers 24-13, Bank of Canada.
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    93. Stefano Grassi & Marco Lorusso & Francesco Ravazzolo, 2021. "Adaptive Importance Sampling for DSGE Models," BEMPS - Bozen Economics & Management Paper Series BEMPS84, Faculty of Economics and Management at the Free University of Bozen.
    94. Jinting Guo, 2025. "On the Identification of Diagnostic Expectations: Econometric Insights from DSGE Models," Papers 2509.08472, arXiv.org, revised Sep 2025.
    95. Geweke, John & Durham, Garland, 2019. "Sequentially adaptive Bayesian learning algorithms for inference and optimization," Journal of Econometrics, Elsevier, vol. 210(1), pages 4-25.
    96. Daniel F. Waggoner & Hongwei Wu & Tao Zha, 2014. "The Dynamic Striated Metropolis-Hastings Sampler for High-Dimensional Models," FRB Atlanta Working Paper 2014-21, Federal Reserve Bank of Atlanta.
    97. Li, Yong & Zhang, Mingzhi & Zhang, Yonghui, 2022. "Sequential Bayesian bandwidth selection for multivariate kernel regression with applications," Economic Modelling, Elsevier, vol. 112(C).

  31. Edward P. Herbst & Frank Schorfheide, 2012. "Evaluating DSGE model forecasts of comovements," Finance and Economics Discussion Series 2012-11, Board of Governors of the Federal Reserve System (U.S.).

    Cited by:

    1. Wolters, Maik H., 2013. "Evaluating point and density forecasts of DSGE models," Economics Working Papers 2013-03, Christian-Albrechts-University of Kiel, Department of Economics.
    2. Frank Schorfheide & Dongho Song, 2015. "Real-Time Forecasting With a Mixed-Frequency VAR," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 33(3), pages 366-380, July.
    3. Michał Rubaszek, 2019. "Forecasting crude oil prices with DSGE models," GRU Working Paper Series GRU_2019_024, City University of Hong Kong, Department of Economics and Finance, Global Research Unit.
    4. Marcin Kolasa & Michal Rubaszek, 2016. "Does foreign sector help forecast domestic variables in DSGE models?," EcoMod2016 9393, EcoMod.
    5. Kolasa, Marcin & Rubaszek, Michał, 2014. "Forecasting with DSGE models with financial frictions," Dynare Working Papers 40, CEPREMAP.
    6. Nalban, Valeriu, 2018. "Forecasting with DSGE models: What frictions are important?," Economic Modelling, Elsevier, vol. 68(C), pages 190-204.
    7. Zhang, Xiaodi, 2025. "Integrating policy design with agricultural emissions reduction in China: A multi-sector DSGE Approach," Economic Analysis and Policy, Elsevier, vol. 86(C), pages 2019-2048.
    8. Diebold, Francis X. & Schorfheide, Frank & Shin, Minchul, 2017. "Real-time forecast evaluation of DSGE models with stochastic volatility," CFS Working Paper Series 577, Center for Financial Studies (CFS).
    9. Roberta Cardani & Alessia Paccagnini & Stefania Villa, 2015. "Forecasting with Instabilities: an Application to DSGE Models with Financial Frictions," Working Papers 201523, School of Economics, University College Dublin.
    10. Dovern, Jonas & Manner, Hans, 2016. "Robust Evaluation of Multivariate Density Forecasts," VfS Annual Conference 2016 (Augsburg): Demographic Change 145547, Verein für Socialpolitik / German Economic Association.
    11. Berg, Tim Oliver, 2015. "Multivariate Forecasting with BVARs and DSGE Models," MPRA Paper 62405, University Library of Munich, Germany.
    12. Söderström, Ulf & Iversen, Jens & LASEEN, PER & Lundvall, Henrik, 2016. "Real-Time Forecasting for Monetary Policy Analysis: The Case of Sveriges Riksbank," CEPR Discussion Papers 11203, C.E.P.R. Discussion Papers.
    13. Mawuli Segnon & Rangan Gupta & Stelios Bekiros & Mark E. Wohar, 2016. "Forecasting US GNP Growth: The Role of Uncertainty," Working Papers 201667, University of Pretoria, Department of Economics.
    14. Casares, Miguel & Vázquez, Jesús, 2016. "Data Revisions In The Estimation Of Dsge Models," Macroeconomic Dynamics, Cambridge University Press, vol. 20(7), pages 1683-1716, October.
    15. Galvão, Ana Beatriz, 2017. "Data revisions and DSGE models," Journal of Econometrics, Elsevier, vol. 196(1), pages 215-232.
    16. Herwartz, Helmut & Rohloff, Hannes & Wang, Shu, 2020. "Proxy SVAR identification of monetary policy shocks: MonteCarlo evidence and insights for the US," University of Göttingen Working Papers in Economics 404, University of Goettingen, Department of Economics.
    17. Stelios Bekiros & Alessia Paccagnini, 2013. "On the predictability of time-varying VAR and DSGE models," Empirical Economics, Springer, vol. 45(1), pages 635-664, August.
    18. Bekiros, Stelios D. & Paccagnini, Alessia, 2014. "Bayesian forecasting with small and medium scale factor-augmented vector autoregressive DSGE models," Computational Statistics & Data Analysis, Elsevier, vol. 71(C), pages 298-323.
    19. Carriero, Andrea & Galvão, Ana Beatriz & Kapetanios, George, 2019. "A comprehensive evaluation of macroeconomic forecasting methods," International Journal of Forecasting, Elsevier, vol. 35(4), pages 1226-1239.
    20. Mehmet Balcilar & Rangan Gupta & Anandamayee Majumdar & Stephen M. Miller, 2015. "Was the recent downturn in US real GDP predictable?," Applied Economics, Taylor & Francis Journals, vol. 47(28), pages 2985-3007, June.
    21. Michal Andrle & Jan Bruha & Serhat Solmaz, 2016. "On the Sources of Business Cycles: Implications for DSGE Models," Working Papers 2016/03, Czech National Bank, Research and Statistics Department.
    22. Krystian Jaworski, 2019. "Sentiment-induced regime switching in density forecasts of emerging markets’ exchange rates. Calibrated simulation trumps estimated autoregression," Bank i Kredyt, Narodowy Bank Polski, vol. 50(1), pages 83-106.
    23. Bekiros Stelios & Paccagnini Alessia, 2015. "Estimating point and density forecasts for the US economy with a factor-augmented vector autoregressive DSGE model," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 19(2), pages 107-136, April.
    24. Tomáš Jeřábek & Radka Šperková, 2015. "A Predictive Likelihood Approach to Bayesian Averaging," Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis, Mendel University Press, vol. 63(4), pages 1269-1276.
    25. Angelini, Elena & Lalik, Magdalena & Lenza, Michele & Paredes, Joan, 2019. "Mind the gap: A multi-country BVAR benchmark for the Eurosystem projections," International Journal of Forecasting, Elsevier, vol. 35(4), pages 1658-1668.
    26. Giovanni Nicolo, 2020. "Monetary Policy, Self-Fulfilling Expectations and the U.S. Business Cycle," Finance and Economics Discussion Series 2020-035, Board of Governors of the Federal Reserve System (U.S.).
    27. Hasumi, Ryo & Iiboshi, Hirokuni & Matsumae, Tatsuyoshi & Nakamura, Daisuke, 2019. "Does a financial accelerator improve forecasts during financial crises? Evidence from Japan with prediction-pooling methods," Journal of Asian Economics, Elsevier, vol. 60(C), pages 45-68.
    28. Hasumi, Ryo & Iiboshi, Hirokuni & Matsumae, Tatsuyoshi & Nakamura, Daisuke, 2018. "Does a financial accelerator improve forecasts during financial crises?: Evidence from Japan with Prediction Pool Methods," MPRA Paper 85523, University Library of Munich, Germany.
    29. Fanelli, Luca & Sorge, Marco M., 2017. "Indeterminate forecast accuracy under indeterminacy," Journal of Macroeconomics, Elsevier, vol. 53(C), pages 57-70.
    30. Mehmet Balcilar & Rangan Gupta & Anandamayee Majumdar & Stephen M. Miller, 2012. "Was the Recent Downturn in US GDP Predictable?," Working Papers 201230, University of Pretoria, Department of Economics.
    31. Jonas Dovern & Hans Manner, 2018. "Order Invariant Tests for Proper Calibration of Multivariate Density Forecasts," CESifo Working Paper Series 7023, CESifo.
    32. Negro, Marco Del & Schorfheide, Frank, 2013. "DSGE Model-Based Forecasting," Handbook of Economic Forecasting, in: G. Elliott & C. Granger & A. Timmermann (ed.), Handbook of Economic Forecasting, edition 1, volume 2, chapter 0, pages 57-140, Elsevier.
    33. Michael P. Clements & Ana Beatriz Galvão, 2014. "Measuring Macroeconomic Uncertainty: US Inflation and Output Growth," ICMA Centre Discussion Papers in Finance icma-dp2014-04, Henley Business School, University of Reading.
    34. Clements, Michael P. & Galvão, Ana Beatriz, 2017. "Model and survey estimates of the term structure of US macroeconomic uncertainty," International Journal of Forecasting, Elsevier, vol. 33(3), pages 591-604.
    35. Efrem Castelnuovo, 2016. "Monetary policy shocks and Cholesky VARs: an assessment for the Euro area," Empirical Economics, Springer, vol. 50(2), pages 383-414, March.
    36. Dovern, Jonas & Manner, Hans, 2016. "Order Invariant Evaluation of Multivariate Density Forecasts," Working Papers 0608, University of Heidelberg, Department of Economics.
    37. Roberta Cardani & Alessia Paccagnini & Stefania Villa, 2015. "Forecasting in a DSGE Model with Banking Intermediation: Evidence from the US," Working Papers 292, University of Milano-Bicocca, Department of Economics, revised Feb 2015.
    38. Caraiani, Petre, 2016. "The role of money in DSGE models: a forecasting perspective," Journal of Macroeconomics, Elsevier, vol. 47(PB), pages 315-330.

  32. Chen, Fei & Diebold, Francis X. & Schorfheide, Frank, 2012. "A Markov-Switching Multi-Fractal Inter-Trade Duration Model, with Application to U.S. Equities," Working Papers 12-09, University of Pennsylvania, Wharton School, Weiss Center.

    Cited by:

    1. Wen Cao & Clifford Hurvich & Philippe Soulier, 2012. "Drift in Transaction-Level Asset Price Models," Working Papers hal-00756372, HAL.
    2. Bjoern Schulte-Tillmann & Mawuli Segnon & Timo Wiedemann, 2023. "A comparison of high-frequency realized variance measures: Duration- vs. return-based approaches," CQE Working Papers 10523, Center for Quantitative Economics (CQE), University of Muenster.
    3. Xin-Lan Fu & Xing-Lu Gao & Zheng Shan & Zhi-Qiang Jiang & Wei-Xing Zhou, 2018. "Multifractal characteristics and return predictability in the Chinese stock markets," Papers 1806.07604, arXiv.org.
    4. Zikes, Filip & Barunik, Jozef & Shenai, Nikhil, 2015. "Modeling and forecasting persistent financial durations," FinMaP-Working Papers 36, Collaborative EU Project FinMaP - Financial Distortions and Macroeconomic Performance: Expectations, Constraints and Interaction of Agents.
    5. Abdelhakim Aknouche & Christian Francq, 2022. "Stationarity and ergodicity of Markov switching positive conditional mean models," Journal of Time Series Analysis, Wiley Blackwell, vol. 43(3), pages 436-459, May.
    6. Jeffrey R. Black & Pankaj K. Jain & Wei Sun, 2023. "Trade-time clustering," Review of Quantitative Finance and Accounting, Springer, vol. 60(3), pages 1209-1242, April.
    7. Zhicheng Li & Haipeng Xing, 2022. "High-Frequency Quote Volatility Measurement Using a Change-Point Intensity Model," Mathematics, MDPI, vol. 10(4), pages 1-24, February.
    8. Li, Zhicheng & Chen, Xinyun & Xing, Haipeng, 2023. "A multifactor regime-switching model for inter-trade durations in the high-frequency limit order market," Economic Modelling, Elsevier, vol. 118(C).
    9. Herrera, Rodrigo & Rodriguez, Alejandro & Pino, Gabriel, 2017. "Modeling and forecasting extreme commodity prices: A Markov-Switching based extreme value model," Energy Economics, Elsevier, vol. 63(C), pages 129-143.
    10. Pérez-Rodríguez, Jorge V. & Gómez-Déniz, Emilio & Sosvilla-Rivero, Simón, 2021. "Testing unobserved market heterogeneity in financial markets: The case of Banco Popular," The Quarterly Review of Economics and Finance, Elsevier, vol. 79(C), pages 151-160.
    11. Kuosmanen, Petri & Nabulsi, Nasib & Vataja, Juuso, 2015. "Financial variables and economic activity in the Nordic countries," International Review of Economics & Finance, Elsevier, vol. 37(C), pages 368-379.
    12. Marcin Wątorek & Jarosław Kwapień & Stanisław Drożdż, 2022. "Multifractal Cross-Correlations of Bitcoin and Ether Trading Characteristics in the Post-COVID-19 Time," Future Internet, MDPI, vol. 14(7), pages 1-15, July.
    13. Veronika Czellar & David T. Frazier & Eric Renault, 2020. "Approximate Maximum Likelihood for Complex Structural Models," Papers 2006.10245, arXiv.org.
    14. Suh, Jong Hwan, 2015. "Forecasting the daily outbreak of topic-level political risk from social media using hidden Markov model-based techniques," Technological Forecasting and Social Change, Elsevier, vol. 94(C), pages 115-132.
    15. Farzad Alavi Fard, 2014. "Optimal Bid-Ask Spread in Limit-Order Books under Regime Switching Framework," Review of Economics & Finance, Better Advances Press, Canada, vol. 4, pages 33-48, November.
    16. Czellar, Veronika & Frazier, David T. & Renault, Eric, 2021. "Approximate Maximum Likelihood for Complex Structural Models," The Warwick Economics Research Paper Series (TWERPS) 1337, University of Warwick, Department of Economics.
    17. Segnon, Mawuli & Lux, Thomas, 2013. "Multifractal models in finance: Their origin, properties, and applications," Kiel Working Papers 1860, Kiel Institute for the World Economy (IfW Kiel).
    18. Peter Akioyamen & Yi Zhou Tang & Hussien Hussien, 2021. "A Hybrid Learning Approach to Detecting Regime Switches in Financial Markets," Papers 2108.05801, arXiv.org.
    19. Jorge Pérez-Rodríguez & Emilio Gómez-Déniza & Simón Sosvilla-Rivero, 2019. "“Testing for private information using trade duration models with unobserved market heterogeneity: The case of Banco Popular”," IREA Working Papers 201907, University of Barcelona, Research Institute of Applied Economics, revised Apr 2019.
    20. Eric M. Aldrich & Indra Heckenbach & Gregory Laughlin, 2014. "A Compound Multifractal Model for High-Frequency Asset Returns," BYU Macroeconomics and Computational Laboratory Working Paper Series 2014-05, Brigham Young University, Department of Economics, BYU Macroeconomics and Computational Laboratory.
    21. Yogo Purwono & Irwan Adi Ekaputra & Zaäfri Ananto Husodo, 2018. "Estimation of Dynamic Mixed Hitting Time Model Using Characteristic Function Based Moments," Computational Economics, Springer;Society for Computational Economics, vol. 51(2), pages 295-321, February.
    22. Aldrich, Eric M. & Heckenbach, Indra & Laughlin, Gregory, 2016. "A compound duration model for high-frequency asset returns," Journal of Empirical Finance, Elsevier, vol. 39(PA), pages 105-128.
    23. Czellar, Veronika & Frazier, David T. & Renault, Eric, 2022. "Approximate maximum likelihood for complex structural models," Journal of Econometrics, Elsevier, vol. 231(2), pages 432-456.
    24. Zhicheng Li & Haipeng Xing & Xinyun Chen, 2019. "A multifactor regime-switching model for inter-trade durations in the limit order market," Papers 1912.00764, arXiv.org.
    25. Chiranjit Dutta & Kara Karpman & Sumanta Basu & Nalini Ravishanker, 2023. "Review of Statistical Approaches for Modeling High-Frequency Trading Data," Sankhya B: The Indian Journal of Statistics, Springer;Indian Statistical Institute, vol. 85(1), pages 1-48, May.
    26. Augustyniak, Maciej & Dufays, Arnaud, 2018. "Modeling macroeconomic series with regime-switching models characterized by a high-dimensional state space," Economics Letters, Elsevier, vol. 170(C), pages 122-126.
    27. de Bruijn, L.P. & Franses, Ph.H.B.F., 2015. "Stochastic levels and duration dependence in US unemployment," Econometric Institute Research Papers EI2015-20, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    28. Fuentes, Fernanda & Herrera, Rodrigo & Clements, Adam, 2025. "Tail risk dynamics of banks with score-driven extreme value models," Journal of Empirical Finance, Elsevier, vol. 81(C).
    29. Lux, Thomas, 2013. "Exact solutions for the transient densities of continuous-time Markov switching models: With an application to the poisson multifractal model," Kiel Working Papers 1871, Kiel Institute for the World Economy (IfW Kiel).
    30. Brownlees Christian T. & Vannucci Marina, 2013. "A Bayesian approach for capturing daily heterogeneity in intra-daily durations time series," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 17(1), pages 21-46, February.
    31. Marcin Wk{a}torek & Jaros{l}aw Kwapie'n & Stanis{l}aw Dro.zd.z, 2022. "Multifractal cross-correlations of bitcoin and ether trading characteristics in the post-COVID-19 time," Papers 2208.01445, arXiv.org.
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    137. Qiu, Yue, 2020. "Forecasting the Consumer Confidence Index with tree-based MIDAS regressions," Economic Modelling, Elsevier, vol. 91(C), pages 247-256.
    138. Heinisch Katja & Scheufele Rolf, 2019. "Should Forecasters Use Real-Time Data to Evaluate Leading Indicator Models for GDP Prediction? German Evidence," German Economic Review, De Gruyter, vol. 20(4), pages 170-200, December.
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    142. Kenneth Beauchemin, 2013. "A 14-Variable Mixed-Frequency VAR Model," Staff Report 493, Federal Reserve Bank of Minneapolis.
    143. Gary Koop & Stuart McIntyre & James Mitchell & Aubrey Poon, 2020. "Regional output growth in the United Kingdom: More timely and higher frequency estimates from 1970," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 35(2), pages 176-197, March.
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    145. Marek Rusnak, 2013. "Nowcasting Czech GDP in Real Time," Working Papers 2013/06, Czech National Bank, Research and Statistics Department.
    146. Markus Heinrich & Magnus Reif, 2020. "Real-Time Forecasting Using Mixed-Frequency VARS with Time-Varying Parameters," CESifo Working Paper Series 8054, CESifo.
    147. Sergio Afonso Lago Alves & Angelo Marsiglia Fasolo, 2015. "Not Just Another Mixed Frequency Paper," Working Papers Series 400, Central Bank of Brazil, Research Department.
    148. Nicolo Maffei-Faccioli & Eugenia Vella, 2021. "Does Immigration Grow the Pie? Asymmetric Evidence from Germany," DEOS Working Papers 2105, Athens University of Economics and Business.
    149. Anastasiou, Dimitrios & Drakos, Konstantinos, 2021. "European depositors’ behavior and crisis sentiment," Journal of Economic Behavior & Organization, Elsevier, vol. 184(C), pages 117-136.
    150. Hassani, Hossein & Rua, António & Silva, Emmanuel Sirimal & Thomakos, Dimitrios, 2019. "Monthly forecasting of GDP with mixed-frequency multivariate singular spectrum analysis," International Journal of Forecasting, Elsevier, vol. 35(4), pages 1263-1272.
    151. Alain Hecq & Marie Ternes & Ines Wilms, 2021. "Hierarchical Regularizers for Mixed-Frequency Vector Autoregressions," Papers 2102.11780, arXiv.org, revised Mar 2022.
    152. William A. Barnett & Marcelle Chauvet & Danilo Leiva-Leon, 2014. "Real-Time Nowcasting of Nominal GDP Under Structural Breaks," Staff Working Papers 14-39, Bank of Canada.
    153. Jian Chai & Puju Cao & Xiaoyang Zhou & Kin Keung Lai & Xiaofeng Chen & Siping (Sue) Su, 2018. "The Conductive and Predictive Effect of Oil Price Fluctuations on China’s Industry Development Based on Mixed-Frequency Data," Energies, MDPI, vol. 11(6), pages 1-14, May.
    154. Paul Labonne, 2022. "Asymmetric Uncertainty: Nowcasting Using Skewness in Real-time Data," Economic Statistics Centre of Excellence (ESCoE) Discussion Papers ESCoE DP-2022-23, Economic Statistics Centre of Excellence (ESCoE).
    155. Mertens, Karel, 2019. "State-level implications of federal tax policies: Comments," Journal of Monetary Economics, Elsevier, vol. 105(C), pages 91-93.
    156. Blagov, Boris & Döhrn, Roland & Grozea-Helmenstein, Daniela & Jäger, Philipp & Micheli, Martin & Weyerstraß, Klaus, 2020. "Die wirtschaftliche Entwicklung im Ausland: COVID-19 hält Weltkonjunktur in Atem," RWI Konjunkturberichte, RWI - Leibniz-Institut für Wirtschaftsforschung, vol. 71(1), pages 5-40.
    157. Ali B. Barlas & Seda Guler Mert & Berk Orkun Isa & Alvaro Ortiz & Tomasa Rodrigo & Baris Soybilgen & Ege Yazgan, 2021. "Big Data Information and Nowcasting: Consumption and Investment from Bank Transactions in Turkey," Papers 2107.03299, arXiv.org.
    158. Qian, Hang, 2013. "Vector Autoregression with Mixed Frequency Data," MPRA Paper 47856, University Library of Munich, Germany.
    159. Zeyyad Mandalinci, 2015. "Effects of Monetary Policy Shocks on UK Regional Activity: A Constrained MFVAR Approach," Working Papers 758, Queen Mary University of London, School of Economics and Finance.
    160. Götz, Thomas B. & Hauzenberger, Klemens, 2018. "Large mixed-frequency VARs with a parsimonious time-varying parameter structure," Discussion Papers 40/2018, Deutsche Bundesbank.
    161. Marcellino, Massimiliano & Foroni, Claudia, 2014. "Markov-Switching Mixed-Frequency VAR Models," CEPR Discussion Papers 9815, C.E.P.R. Discussion Papers.
    162. Barbaglia, Luca & Frattarolo, Lorenzo & Onorante, Luca & Pericoli, Filippo Maria & Ratto, Marco & Tiozzo Pezzoli, Luca, 2022. "Testing big data in a big crisis: Nowcasting under COVID-19," JRC Working Papers in Economics and Finance 2022-06, Joint Research Centre, European Commission.
    163. L. Vanessa Smith & Nori Tarui & Takashi Yamagata, 2020. "Global fossil fuel consumption and carbon pricing: Forecasting and counterfactual analysis under alternative GDP scenarios," RIEEM Discussion Paper Series 2004, Research Institute for Environmental Economics and Management, Waseda University.
    164. Ivan Stankevich, 2025. "Nowcasting and short-term forecasting of G-20 countries GDP with endogenous regime-switching MIDAS models," Empirical Economics, Springer, vol. 69(3), pages 1383-1410, September.
    165. Heinisch, Katja, 2016. "A real-time analysis on the importance of hard and soft data for nowcasting German GDP," VfS Annual Conference 2016 (Augsburg): Demographic Change 145864, Verein für Socialpolitik / German Economic Association.
    166. Zheng, Tingguo & Fan, Xinyue & Jin, Wei & Fang, Kuangnan, 2024. "Words or numbers? Macroeconomic nowcasting with textual and macroeconomic data," International Journal of Forecasting, Elsevier, vol. 40(2), pages 746-761.
    167. Ferrari Minesso, Massimo & Van Robays, Ine & Cassinis, Maria Giulia, 2025. "Supply shocks and inflation: timely insights from financial markets," Working Paper Series 3096, European Central Bank.
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    171. Homolka, Lubor & Ngo, Vu Minh & Pavelková, Drahomíra & Le, Bach Tuan & Dehning, Bruce, 2020. "Short- and medium-term car registration forecasting based on selected macro and socio-economic indicators in European countries," Research in Transportation Economics, Elsevier, vol. 80(C).
    172. Ruey Yau & C. James Hueng, 2019. "Nowcasting GDP Growth for Small Open Economies with a Mixed-Frequency Structural Model," Computational Economics, Springer;Society for Computational Economics, vol. 54(1), pages 177-198, June.
    173. Karlsson, Sune & Mazur, Stepan & Raftab, Mariya, 2025. "Identifying Useful Indicators for Nowcasting GDP in Sweden," Working Papers 2025:4, Örebro University, School of Business.

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    Cited by:

    1. Oxana Babecka Kucharcukova & Jan Bruha, 2016. "Nowcasting the Czech Trade Balance," Working Papers 2016/11, Czech National Bank, Research and Statistics Department.
    2. Jannsen, Nils & Wolters, Maik H., 2016. "Zu Produktionspotenzial und Produktionslücke in den Vereinigten Staaten," Kiel Insight 2016.2, Kiel Institute for the World Economy (IfW Kiel).
    3. Inske Pirschel & Maik H. Wolters, 2018. "Forecasting with large datasets: compressing information before, during or after the estimation?," Empirical Economics, Springer, vol. 55(2), pages 573-596, September.
    4. Pincheira, Pablo M. & West, Kenneth D., 2016. "A comparison of some out-of-sample tests of predictability in iterated multi-step-ahead forecasts," Research in Economics, Elsevier, vol. 70(2), pages 304-319.
    5. Edmond Berisha & David Gabauer & Rangan Gupta & Chi Keung Marco Lau, 2020. "Time-Varying Influence of Household Debt on Inequality in United Kingdom," Working Papers 202017, University of Pretoria, Department of Economics.
    6. Gelfer, Sacha & Gibbs, Christopher G., 2023. "Measuring the effects of large-scale asset purchases: The role of international financial markets and the financial accelerator," Journal of International Money and Finance, Elsevier, vol. 131(C).
    7. Edward S. Knotek & Saeed Zaman, 2017. "Financial Nowcasts and Their Usefulness in Macroeconomic Forecasting," Working Papers (Old Series) 1702, Federal Reserve Bank of Cleveland.
    8. Frank Schorfheide & Dongho Song, 2015. "Real-Time Forecasting With a Mixed-Frequency VAR," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 33(3), pages 366-380, July.
    9. S. BoraÄŸan Aruoba & Pablo Cuba-Borda & Frank Schorfheide, 2012. "Macroeconomic Dynamics Near the ZLB: A Tale of Two Countries," PIER Working Paper Archive 14-035, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania, revised 19 Jun 2014.
    10. Michał Rubaszek, 2019. "Forecasting crude oil prices with DSGE models," GRU Working Paper Series GRU_2019_024, City University of Hong Kong, Department of Economics and Finance, Global Research Unit.
    11. Berg Tim Oliver, 2017. "Forecast accuracy of a BVAR under alternative specifications of the zero lower bound," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 21(2), pages 1-29, April.
    12. Gulan, Adam, 2018. "Paradise lost? A brief history of DSGE macroeconomics," Bank of Finland Research Discussion Papers 22/2018, Bank of Finland.
    13. Lindé, Jesper & Smets, Frank & Wouters, Rafael, 2016. "Challenges for Central Banks´ Macro Models," Working Paper Series 323, Sveriges Riksbank (Central Bank of Sweden).
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    19. Solis-Garcia, Mario, 2017. "Yes we can! Teaching DSGE models to undergraduate students," MPRA Paper 81754, University Library of Munich, Germany.
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    21. Shirai, Daichi, 2016. "Persistence and Amplification of Financial Frictions," MPRA Paper 72187, University Library of Munich, Germany.
    22. Andrew Martinez, 2017. "Testing for Differences in Path Forecast Accuracy: Forecast-Error Dynamics Matter," Working Papers (Old Series) 1717, Federal Reserve Bank of Cleveland.
    23. Luca Sala, 2013. "DSGE models in the frequency domain," Working Papers 504, IGIER (Innocenzo Gasparini Institute for Economic Research), Bocconi University.
    24. Chauvet, Marcelle & Potter, Simon, 2013. "Forecasting Output," Handbook of Economic Forecasting, in: G. Elliott & C. Granger & A. Timmermann (ed.), Handbook of Economic Forecasting, edition 1, volume 2, chapter 0, pages 141-194, Elsevier.
    25. Reicher Christopher Phillip & Utlaut Johannes Friederich, 2013. "Monetary policy shocks and real commodity prices," The B.E. Journal of Macroeconomics, De Gruyter, vol. 13(1), pages 715-749, October.
    26. Petrella, Ivan & Antolin-Diaz, Juan & Rubio-Ramírez, Juan Francisco, 2018. "Structural Scenario Analysis with SVARs," CEPR Discussion Papers 12579, C.E.P.R. Discussion Papers.
    27. Stefania D'Amico & Thomas B. King, 2015. "What Does Anticipated Monetary Policy Do?," Working Paper Series WP-2015-10, Federal Reserve Bank of Chicago.
    28. Petropoulos, Fotios & Apiletti, Daniele & Assimakopoulos, Vassilios & Babai, Mohamed Zied & Barrow, Devon K. & Ben Taieb, Souhaib & Bergmeir, Christoph & Bessa, Ricardo J. & Bijak, Jakub & Boylan, Joh, 2022. "Forecasting: theory and practice," International Journal of Forecasting, Elsevier, vol. 38(3), pages 705-871.
      • Fotios Petropoulos & Daniele Apiletti & Vassilios Assimakopoulos & Mohamed Zied Babai & Devon K. Barrow & Souhaib Ben Taieb & Christoph Bergmeir & Ricardo J. Bessa & Jakub Bijak & John E. Boylan & Jet, 2020. "Forecasting: theory and practice," Papers 2012.03854, arXiv.org, revised Jan 2022.
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    31. Winkelmann, Lars & Yao, Wenying, 2021. "Tests for jumps in yield spreads," Discussion Papers 2021/15, Free University Berlin, School of Business & Economics.
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    33. Cars Hommes & Sebastian Poledna, 2023. "Analyzing and forecasting economic crises with an agent-based model of the euro area," Tinbergen Institute Discussion Papers 23-013/II, Tinbergen Institute.
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    37. Hess Chung & Edward Herbst & Michael T. Kiley, 2014. "Effective Monetary Policy Strategies in New Keynesian Models: A Re-examination," NBER Working Papers 20611, National Bureau of Economic Research, Inc.
    38. Sylvain Barde, 2019. "Macroeconomic simulation comparison with a multivariate extension of the Markov Information Criterion," Studies in Economics 1908, School of Economics, University of Kent.
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    43. Dmitry Kreptsev & Sergei Seleznev, 2017. "DSGE Model of the Russian Economy with the Banking Sector," Bank of Russia Working Paper Series wps27, Bank of Russia.
    44. Marcelo Arbex & Sidney Caetano & Wilson Correa, 2018. "Macroeconomic Effects of Inflation Target Uncertainty Shocks," Working Papers 1804, University of Windsor, Department of Economics.
    45. Rodríguez, Aldo, 2020. "Estimación Bayesiana de un Modelo de Economía Abierta con Sector Bancario," Dynare Working Papers 52, CEPREMAP.
    46. Wolters, Maik Hendrik, 2018. "How the baby boomers' retirement wave distorts model-based output gap estimates," IMFS Working Paper Series 121, Goethe University Frankfurt, Institute for Monetary and Financial Stability (IMFS).
    47. Todd E. Clark & Fabian Krueger & Francesco Ravazzolo, 2015. "Using Entropic Tilting to Combine BVAR Forecasts with External Nowcasts," Working Papers (Old Series) 1439, Federal Reserve Bank of Cleveland.
    48. Smets, Frank & Villa, Stefania, 2016. "Slow recoveries: Any role for corporate leverage?," Journal of Economic Dynamics and Control, Elsevier, vol. 70(C), pages 54-85.
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    50. Gupta Rangan & Sun Xiaojin, 2025. "Time-Varying Parameter Four-Equation DSGE Model," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 29(2), pages 235-246.
    51. Böhl, Gregor, 2022. "Endogenous Money, Excess Reserves and Unconventional Monetary Policy," VfS Annual Conference 2022 (Basel): Big Data in Economics 264141, Verein für Socialpolitik / German Economic Association.
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    53. Raffaella Giacomini, 2014. "Economic theory and forecasting: lessons from the literature," CeMMAP working papers 41/14, Institute for Fiscal Studies.
    54. Elias, Christopher J., 2022. "Adaptive learning with heterogeneous expectations in an estimated medium-scale New Keynesian model," Journal of Macroeconomics, Elsevier, vol. 71(C).
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    56. Takuma Tanaka, 2018. "Thermodynamic structure of a macroeconomic model," Discussion Papers CRR Discussion Paper Series A: General 30, Shiga University, Faculty of Economics,Center for Risk Research.
    57. Jörg Döpke & Ulrich Fritsche & Gabi Waldhof, 2017. "Theories, techniques and the formation of German business cycle forecasts: Evidence from a survey of professional forecasters," Macroeconomics and Finance Series 201701, University of Hamburg, Department of Socioeconomics.
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    61. Roberta Cardani & Alessia Paccagnini & Stefania Villa, 2015. "Forecasting with Instabilities: an Application to DSGE Models with Financial Frictions," Working Papers 201523, School of Economics, University College Dublin.
    62. Giovanni Caggiano & Efrem Castelnuovo & Silvia Delrio & Richard Kima, 2020. "Financial Uncertainty and Real Activity: The Good, the Bad, and the Ugly," CESifo Working Paper Series 8426, CESifo.
    63. Anders Warne & Günter Coenen & Kai Christoffel, 2017. "Marginalized Predictive Likelihood Comparisons of Linear Gaussian State‐Space Models with Applications to DSGE, DSGE‐VAR, and VAR Models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 32(1), pages 103-119, January.
    64. Sergey Ivashchenko & Rangan Gupta, 2017. "Near-Rational Expectations: How Far are Surveys from Rationality?," EERI Research Paper Series EERI RP 2017/04, Economics and Econometrics Research Institute (EERI), Brussels.
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    66. Giacomini, Raffaella, 2014. "Economic theory and forecasting: lessons from the literature," CEPR Discussion Papers 10201, C.E.P.R. Discussion Papers.
    67. Patrick C. Higgins, 2014. "GDPNow: A Model for GDP \"Nowcasting\"," FRB Atlanta Working Paper 2014-7, Federal Reserve Bank of Atlanta.
    68. Jörg Döpke & Ulrich Fritsche & Gabi Waldhof, 2017. "Theories, techniques and the formation of German business cycle forecasts: Evidence from a survey among professional forecasters," Working Papers 2017-002, The George Washington University, The Center for Economic Research.
    69. Berg, Tim Oliver, 2015. "Multivariate Forecasting with BVARs and DSGE Models," MPRA Paper 62405, University Library of Munich, Germany.
    70. Marco Del Negro & Raiden B. Hasegawa & Frank Schorfheide, 2014. "Dynamic Prediction Pools: An Investigation of Financial Frictions and Forecasting Performance," PIER Working Paper Archive 14-034, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.
    71. Söderström, Ulf & Iversen, Jens & LASEEN, PER & Lundvall, Henrik, 2016. "Real-Time Forecasting for Monetary Policy Analysis: The Case of Sveriges Riksbank," CEPR Discussion Papers 11203, C.E.P.R. Discussion Papers.
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    136. Marco Del Negro, 2017. "EconomicDynamics Interview: Marco Del Negro about DSGE modelling in policy," EconomicDynamics Newsletter, Review of Economic Dynamics, vol. 18(1), April.
    137. Aicha Kharazi, 2022. "Macroeconomic Effects of Collateral Requirements and Financial Shocks," BEMPS - Bozen Economics & Management Paper Series BEMPS93, Faculty of Economics and Management at the Free University of Bozen.
    138. Hauber, Philipp, 2021. "How useful is external information from professional forecasters? Conditional forecasts in large factor models," EconStor Preprints 251469, ZBW - Leibniz Information Centre for Economics.
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    140. Smets, Frank & Warne, Anders & Wouters, Rafael, 2014. "Professional forecasters and real-time forecasting with a DSGE model," International Journal of Forecasting, Elsevier, vol. 30(4), pages 981-995.
    141. Gelfer, Sacha, 2024. "Examining business cycles and optimal monetary policy in a regional DSGE model," Economic Modelling, Elsevier, vol. 136(C).
    142. Lindé, J. & Smets, F. & Wouters, R., 2016. "Challenges for Central Banks’ Macro Models," Handbook of Macroeconomics, in: J. B. Taylor & Harald Uhlig (ed.), Handbook of Macroeconomics, edition 1, volume 2, chapter 0, pages 2185-2262, Elsevier.
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    144. Sergey Ivashchenko & Semih Emre Cekin & Rangan Gupta & Chien-Chiang Lee, 2022. "Real-Time Forecast of DSGE Models with Time-Varying Volatility in GARCH Form," Working Papers 202204, University of Pretoria, Department of Economics.
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    147. S. Boragan Aruoba & Frank Schorfheide, 2013. "Macroeconomic dynamics near the ZLB: a tale of two equilibria," Working Papers 13-29, Federal Reserve Bank of Philadelphia.
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    154. Roberta Cardani & Alessia Paccagnini & Stefania Villa, 2015. "Forecasting in a DSGE Model with Banking Intermediation: Evidence from the US," Working Papers 292, University of Milano-Bicocca, Department of Economics, revised Feb 2015.
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  35. Frank Schorfheide, 2011. "Estimation and evaluation of DSGE models: progress and challenges," Working Papers 11-7, Federal Reserve Bank of Philadelphia.

    Cited by:

    1. Marta Boczon, 2018. "Balanced Growth Approach to Forecasting Recessions," Working Paper 6487, Department of Economics, University of Pittsburgh.
    2. Eyal Argov & Emanuel Barnea & Alon Binyamini & Eliezer Borenstein & David Elkayam & Irit Rozenshtrom, 2012. "MOISE: A DSGE Model for the Israeli Economy," Bank of Israel Working Papers 2012.06, Bank of Israel.
    3. Donald W.K. Andrews & Xu Cheng, 2011. "GMM Estimation and Uniform Subvector Inference with Possible Identification Failure," Cowles Foundation Discussion Papers 1828, Cowles Foundation for Research in Economics, Yale University.
    4. Chen, Xiaoshan & Kirsanova, Tatiana & Leith, Campbell, 2013. "How Optimal is US Monetary Policy?," Stirling Economics Discussion Papers 2013-05, University of Stirling, Division of Economics.
    5. Christian Gouriéroux & Joann Jasiak & Alain Monfort, 2016. "Stationary Bubble Equilibria in Rational Expectation Models," Working Papers 2016-31, Center for Research in Economics and Statistics.
    6. Geert Mesters & Régis Barnichon, 2019. "The Phillips Multiplier," Working Papers 1070, Barcelona School of Economics.
    7. Sophocles Mavroeidis & Mikkel Plagborg-M?ller & James H. Stock, 2014. "Empirical Evidence on Inflation Expectations in the New Keynesian Phillips Curve," Journal of Economic Literature, American Economic Association, vol. 52(1), pages 124-188, March.
    8. Lorenzo Burlon & Paolo D'Imperio, 2019. "The euro-area output gap through the lens of a DSGE model," Questioni di Economia e Finanza (Occasional Papers) 477, Bank of Italy, Economic Research and International Relations Area.
    9. Nikhil Patel, 2016. "International Trade Finance and the Cost Channel of Monetary Policy in Open Economies," BIS Working Papers 539, Bank for International Settlements.
    10. Michael Wickens, 2014. "How did we get to where we are now? Reflections on 50 years of macroeconomic and financial econometrics," Discussion Papers 14/17, Department of Economics, University of York.
    11. Pesaran, M. Hashem & Smith, Ron P., 2011. "Beyond the DSGE Straitjacket," IZA Discussion Papers 5661, Institute of Labor Economics (IZA).
    12. Matthieu Lemoine & Harri Turunen & Mohammed Chahad & Antoine Lepetit & Anastasia Zhutova & Pierre Aldama & Pierrick Clerc & Jean-Pierre Laffargue, 2019. "The FR-BDF Model and an Assessment of Monetary Policy Transmission in France," Working papers 736, Banque de France.
    13. Varang Wiriyawit, 2014. "Trend Mis-specifications and Estimated Policy Implications in DSGE Models," ANU Working Papers in Economics and Econometrics 2014-615, Australian National University, College of Business and Economics, School of Economics.
    14. Schmidt, Sebastian & Wieland, Volker, 2013. "The New Keynesian Approach to Dynamic General Equilibrium Modeling: Models, Methods and Macroeconomic Policy Evaluation," Handbook of Computable General Equilibrium Modeling, in: Peter B. Dixon & Dale Jorgenson (ed.), Handbook of Computable General Equilibrium Modeling, edition 1, volume 1, chapter 0, pages 1439-1512, Elsevier.
    15. Stracca Livio, 2017. "The Euler equation around the world," The B.E. Journal of Macroeconomics, De Gruyter, vol. 17(2), pages 1-9, June.
    16. Eyal Argov & Alon Binyamini & Eliezer Borenstein & Irit Rozenshtrom, 2012. "Ex-Post Evaluation of Monetary Policy," Bank of Israel Working Papers 2012.07, Bank of Israel.
    17. Pablo A Guerron-Quintana & James M Nason, 2012. "Bayesian Estimation of DSGE Models," CAMA Working Papers 2012-10, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    18. Frank Schorfheide, 2012. "EconomicDynamics Interviews Frank Schorfheide on DSGE Model Estimation," EconomicDynamics Newsletter, Review of Economic Dynamics, vol. 13(2), April.
    19. Felix Reichling & Charles Whalen, 2012. "Review of Estimates of the Frisch Elasticity of Labor Supply: Working Paper 2012-13," Working Papers 43676, Congressional Budget Office.
    20. Stelios Bekiros & Alessia Paccagnini, 2013. "On the predictability of time-varying VAR and DSGE models," Empirical Economics, Springer, vol. 45(1), pages 635-664, August.
    21. Zhongjun Qu & Denis Tkachenko, 2011. "Frequency Domain Analysis of Medium Scale DSGE Models with Application to Smets and Wouters (2007)," Boston University - Department of Economics - Working Papers Series WP2011-060, Boston University - Department of Economics.
    22. Le, Vo Phuong Mai & Meenagh, David & Minford, Patrick & Wickens, Michael, 2017. "A Monte Carlo procedure for checking identification in DSGE models," Journal of Economic Dynamics and Control, Elsevier, vol. 76(C), pages 202-210.
    23. Marta Boczoń & Jean-François Richard, 2020. "Balanced Growth Approach to Tracking Recessions," Econometrics, MDPI, vol. 8(2), pages 1-35, April.
    24. Minford, Lucy & Meenagh, David, 2018. "Supply-side policy and economic growth: A case study of the UK," Cardiff Economics Working Papers E2018/10, Cardiff University, Cardiff Business School, Economics Section.
    25. Dario Caldara & Richard Harrison & Anna Lipińska, 2014. "Practical Tools For Policy Analysis In Dsge Models With Missing Shocks," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 29(7), pages 1145-1163, November.
    26. Giesen, Sebastian & Scheufele, Rolf, 2013. "Effects of Incorrect Specification on the Finite Sample Properties of Full and Limited Information Estimators in DSGE Models," IWH Discussion Papers 8/2013, Halle Institute for Economic Research (IWH).
    27. Francesco Sergi, 2015. "L'histoire (faussement) naïve des modèles DSGE," Documents de travail du Centre d'Economie de la Sorbonne 15066, Université Panthéon-Sorbonne (Paris 1), Centre d'Economie de la Sorbonne.
    28. Massimiliano Marcellino & Yuliya Rychalovska, 2014. "Forecasting with a DSGE Model of a Small Open Economy within the Monetary Union," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 33(5), pages 315-338, August.
    29. Giorgio Fagiolo & Andrea Roventini, 2012. "Macroeconomic Policy in DSGE and Agent-Based Models," Working Papers hal-04141079, HAL.
    30. Charles Whalen & Felix Reichling, 2017. "Estimates of the Frisch Elasticity of Labor Supply: A Review," Eastern Economic Journal, Palgrave Macmillan;Eastern Economic Association, vol. 43(1), pages 37-42, January.
    31. Gunnar Bårdsen & Luca Fanelli, 2015. "Frequentist Evaluation of Small DSGE Models," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 33(3), pages 307-322, July.
    32. Luca Barone, 2013. "An ABM for Economics: Micro Explains Macro," Working papers 016, Department of Economics, Social Studies, Applied Mathematics and Statistics (Dipartimento di Scienze Economico-Sociali e Matematico-Statistiche), University of Torino.
    33. Bernd Hayo & Britta Niehof, 2013. "Studying International Spillovers in a New Keynesian Continuous Time Framework with Financial Markets," MAGKS Papers on Economics 201342, Philipps-Universität Marburg, Faculty of Business Administration and Economics, Department of Economics (Volkswirtschaftliche Abteilung).
    34. Michael Wickens, 2015. "How Did We Get to Where We Are Now? Reflections on 50 Years of Macroeconomic and Financial Econometrics," Manchester School, University of Manchester, vol. 83, pages 60-82, December.
    35. Daniel O. Beltran & David Draper, 2016. "Estimating Dynamic Macroeconomic Models : How Informative Are the Data?," International Finance Discussion Papers 1175, Board of Governors of the Federal Reserve System (U.S.).
    36. Wong, Chin-Yoong & Eng, Yoke-Kee, 2013. "International business cycle co-movement and vertical specialization reconsidered in multistage Bayesian DSGE model," International Review of Economics & Finance, Elsevier, vol. 26(C), pages 109-124.
    37. Dario Caldara & Richard Harrison & Anna Lipinska, 2012. "Practical tools for policy analysis in DSGE models with missing channels," Finance and Economics Discussion Series 2012-72, Board of Governors of the Federal Reserve System (U.S.).
    38. Matthieu Lemoine & Harri Turunen & Mohammed Chahad & Antoine Lepetit & Anastasia Zhutova & Pierre Aldama & Pierrick Clerc & Jean-Pierre Laffargue, 2019. "The FR-BDF Model and an Assessment of Monetary Policy Transmission in France, Working Paper Series no. 736, Banque de France," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) hal-02400611, HAL.
    39. Zheng, Tingguo & Guo, Huiming, 2013. "Estimating a small open economy DSGE model with indeterminacy: Evidence from China," Economic Modelling, Elsevier, vol. 31(C), pages 642-652.
    40. Lance Kent, 2015. "Relaxing Rational Expectations," Working Papers 159, Economics Department, William & Mary.
    41. Damodaran, Nikhil, "undated". "Export Subsidies and Interdependence in Euro Union: Beggar Thy Neighbor?," 2016 Annual Meeting, July 31-August 2, Boston, Massachusetts 235701, Agricultural and Applied Economics Association.
    42. Burlon, Lorenzo & D’Imperio, Paolo, 2020. "Reliable real-time estimates of the euro-area output gap," Journal of Macroeconomics, Elsevier, vol. 64(C).
    43. Francesco Sergi, 2015. "L'histoire (faussement) naïve des modèles DSGE," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-01222798, HAL.
    44. Waldyr Dutra Areosa & Christiano Arrigoni Coelho, 2013. "Utilizando um Modelo DSGE para Avaliar os Efeitos Macroeconômicos dos Recolhimentos Compulsórios no Brasil," Working Papers Series 303, Central Bank of Brazil, Research Department.

  36. S. Boragan Aruoba & Francis X. Diebold & Jeremy J. Nalewaik & Frank Schorfheide & Dongho Song, 2011. "Improving GDP measurement: a forecast combination perspective," Working Papers 11-41, Federal Reserve Bank of Philadelphia.

    Cited by:

    1. Jeremy J. Nalewaik, 2014. "Missing Variation in the Great Moderation: Lack of Signal Error and OLS Regression," Finance and Economics Discussion Series 2014-27, Board of Governors of the Federal Reserve System (U.S.).
    2. Aruoba, S. Borağan & Diebold, Francis X. & Nalewaik, Jeremy & Schorfheide, Frank & Song, Dongho, 2016. "Improving GDP measurement: A measurement-error perspective," Journal of Econometrics, Elsevier, vol. 191(2), pages 384-397.
    3. Tom Stark, 2014. "Real-time performance of GDPplus and alternative model-based measures of GDP: 2005—2014," Research Rap Special Report, Federal Reserve Bank of Philadelphia, issue Nov.
    4. Diebold, Francis X. & Shin, Minchul, 2019. "Machine learning for regularized survey forecast combination: Partially-egalitarian LASSO and its derivatives," International Journal of Forecasting, Elsevier, vol. 35(4), pages 1679-1691.
    5. James Bishop & Troy Gill & David Lancaster, 2013. "GDP Revisions: Measurement and Implications," RBA Bulletin (Print copy discontinued), Reserve Bank of Australia, pages 11-22, March.
    6. Jan P.A.M. Jacobs & Samad Sarferaz & Simon van Norden & Jan-Egbert Sturm, 2013. "Modeling Multivariate Data Revisions," CIRANO Working Papers 2013s-44, CIRANO.
    7. Tomaz Cajner & Leland D. Crane & Ryan A. Decker & Adrian Hamins-Puertolas & Christopher Kurz, 2019. "Improving the Accuracy of Economic Measurement with Multiple Data Sources: The Case of Payroll Employment Data," NBER Chapters, in: Big Data for Twenty-First-Century Economic Statistics, pages 147-170, National Bureau of Economic Research, Inc.
    8. Francis X. Diebold & Minchul Shin, 2017. "Beating the Simple Average: Egalitarian LASSO for Combining Economic Forecasts," PIER Working Paper Archive 17-017, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania, revised 20 Aug 2017.
    9. Cobb, Marcus P A, 2018. "Improving Underlying Scenarios for Aggregate Forecasts: A Multi-level Combination Approach," MPRA Paper 88593, University Library of Munich, Germany.
    10. Mary C. Daly & John G. Fernald & Òscar Jordà & Fernanda Nechio, 2013. "Shocks and Adjustments," Working Paper Series 2013-32, Federal Reserve Bank of San Francisco.
    11. Marius Cristian Acatrinei, 2020. "Financial stability indicator for non-banking markets," Journal of Financial Studies, Institute of Financial Studies, vol. 9(5), pages 3-9, November.

  37. Yongsung Chang & Sun-Bin Kim & Frank Schorfheide, 2011. "Labor-Market Heterogeneity, Aggregation, and the Policy-(In)variance of DSGE Model Parameters," RCER Working Papers 566, University of Rochester - Center for Economic Research (RCER).

    Cited by:

    1. Samuel Hurtado, 2013. "DSGE Models and the Lucas critique," Working Papers 1310, Banco de España.
    2. Salvador Barrios & Mathias Dolls & Anamaria Mafei & Andreas Peichl & Sara Riscado & Janos Varga & Christian Wittneben, 2018. "Dynamic Scoring of Tax Reforms in the European Union," EconPol Working Paper 7, ifo Institute - Leibniz Institute for Economic Research at the University of Munich.
    3. Moore, Rachel & Pecoraro, Brandon, 2020. "Macroeconomic implications of modeling the Internal Revenue Code in a heterogeneous-agent framework," Economic Modelling, Elsevier, vol. 87(C), pages 72-91.
    4. Dmitry I. Malakhov & Nikolay P. Pilnik & Igor G. Pospelov, 2015. "Stability of Distribution of Relative Sizes of Banks as an Argument for the Use of the Representative Agent Concept," HSE Working papers WP BRP 116/EC/2015, National Research University Higher School of Economics.
    5. Fabio Canova & Filippo Ferroni & Christian Matthes, 2015. "Approximating Time Varying Structural Models With Time Invariant Structures," Working Paper 15-10, Federal Reserve Bank of Richmond.
    6. Nils M. Gornemann & Keith Kuester & Makoto Nakajima, 2012. "Monetary policy with heterogeneous agents," Working Papers 12-21, Federal Reserve Bank of Philadelphia.
    7. Marcin Bielecki & Michał Brzoza‐Brzezina & Marcin Kolasa & Krzysztof Makarski, 2019. "Could the Boom‐Bust in the Eurozone Periphery Have Been Prevented?," Journal of Common Market Studies, Wiley Blackwell, vol. 57(2), pages 336-352, March.
    8. Jang-Ok Cho & Thomas Cooley & Hyung Seok Kim, 2015. "Business Cycle Uncertainty and Economic Welfare," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 18(2), pages 185-200, April.
    9. Frank Schorfheide, 2012. "EconomicDynamics Interviews Frank Schorfheide on DSGE Model Estimation," EconomicDynamics Newsletter, Review of Economic Dynamics, vol. 13(2), April.
    10. Yagihashi, Takeshi, 2018. "How costly is a misspecified credit channel DSGE model in monetary policymaking?," Economic Modelling, Elsevier, vol. 68(C), pages 484-505.
    11. Saito, Yuta, 2014. "Are Deep Parameters Policy-Invariant?," MPRA Paper 66236, University Library of Munich, Germany.
    12. Macnamara Patrick, 2016. "Understanding entry and exit: a business cycle accounting approach," The B.E. Journal of Macroeconomics, De Gruyter, vol. 16(1), pages 47-91, January.
    13. Dolls, Mathias & Wittneben, Christian, 2017. "Dynamic Scoring of Tax Reforms in the EU," VfS Annual Conference 2017 (Vienna): Alternative Structures for Money and Banking 168261, Verein für Socialpolitik / German Economic Association.

  38. Chang, Yongsung & Schorfheide, Frank, 2010. "Labor-Market Heterogeneity, Aggregation, and the Lucas Critique," CEPR Discussion Papers 8039, C.E.P.R. Discussion Papers.

    Cited by:

    1. Francesco Sergi, 2018. "DSGE Models and the Lucas Critique. A Historical Appraisal," Working Papers 20181806, Department of Accounting, Economics and Finance, Bristol Business School, University of the West of England, Bristol.
    2. Christian Bayer & Volker Tjaden, 2016. "Large Open Economies and Fixed Costs of Capital Adjustment," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 21, pages 125-146, July.
    3. Pesaran, M. Hashem & Smith, Ron P., 2011. "Beyond the DSGE Straitjacket," IZA Discussion Papers 5661, Institute of Labor Economics (IZA).
    4. Canova, Fabio & Paustian, Matthias, 2011. "Business cycle measurement with some theory," CEPR Discussion Papers 8364, C.E.P.R. Discussion Papers.
    5. Fernando J. Pérez Forero, 2017. "Measuring the Stance of Monetary Policy in a Time-Varying," Working Papers 102, Peruvian Economic Association.
    6. Francisco J. Buera & Benjamin Moll, 2012. "Aggregate Implications of a Credit Crunch," NBER Working Papers 17775, National Bureau of Economic Research, Inc.

  39. Sun-Bin Kim & Frank Schorfheide & Yongsung Chang, 2010. "Financial Frictions, Aggregation, and the Lucas Critique," 2010 Meeting Papers 31, Society for Economic Dynamics.

    Cited by:

    1. Canova, Fabio & Paustian, Matthias, 2011. "Business cycle measurement with some theory," CEPR Discussion Papers 8364, C.E.P.R. Discussion Papers.
    2. Chang, Chia-ling & Chen, Shu-heng, 2011. "Interactions in DSGE models: The Boltzmann-Gibbs machine and social networks approach," Economics Discussion Papers 2011-25, Kiel Institute for the World Economy (IfW Kiel).
    3. Chen, Shu-heng & Chang, Chia-ling, 2012. "Interactions in the New Keynesian DSGE models: The Boltzmann-Gibbs machine and social networks approach," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 6, pages 1-32.

  40. S. Boragan Aruoba & Frank Schorfheide, 2009. "Sticky prices versus monetary frictions: an estimation of policy trade-offs," Working Papers 09-8, Federal Reserve Bank of Philadelphia.

    Cited by:

    1. Guerron-Quintana, Pablo A., 2011. "The implications of inflation in an estimated new Keynesian model," Journal of Economic Dynamics and Control, Elsevier, vol. 35(6), pages 947-962, June.
    2. S. BoraÄŸan Aruoba & Pablo Cuba-Borda & Frank Schorfheide, 2012. "Macroeconomic Dynamics Near the ZLB: A Tale of Two Countries," PIER Working Paper Archive 14-035, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania, revised 19 Jun 2014.
    3. Schorfheide, Frank & Aruoba, Boragan & Mlikota, Marko & Villalvazo, Sergio, 2021. "SVARs With Occasionally-Binding Constraints," CEPR Discussion Papers 15923, C.E.P.R. Discussion Papers.
    4. Diegel, Max, 2022. "Time-varying credibility, anchoring and the Fed's inflation target," Discussion Papers 2022/9, Free University Berlin, School of Business & Economics.
    5. Chou, Jenyu & Easaw, Joshy & Minford, Patrick, 2023. "Does inattentiveness matter for DSGE modeling? An empirical investigation," Economic Modelling, Elsevier, vol. 118(C).
    6. Franz Seitz & Markus A. Schmidt, 2014. "Money In Modern Macro Models: A Review of the Arguments," Journal of Reviews on Global Economics, Lifescience Global, vol. 3, pages 156-174.
    7. Fabio Milani, 2012. "The Modeling of Expectations in Empirical DSGE Models: a Survey," Working Papers 121301, University of California-Irvine, Department of Economics.
    8. Joshua Brault & Qazi Haque & Louis Phaneuf, 2025. "Time-Varying Inflation Target and Unbiased Taylor Rule Estimation," School of Economics and Public Policy Working Papers 2025-03 Classification-E5, University of Adelaide, School of Economics and Public Policy.
    9. Olivier Coibion & Yuriy Gorodnichenko, 2008. "Monetary Policy, Trend Inflation and the Great Moderation: An Alternative Interpretation," NBER Working Papers 14621, National Bureau of Economic Research, Inc.
    10. J. A. Lafuente & R. Pérez & J. Ruiz, 2018. "Disentangling permanent and transitory monetary shocks with a non-linear Taylor rule," Documentos de Trabajo del ICAE 2018-19, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
    11. Ahrens, Steffen & Snower, Dennis J., 2014. "Envy, guilt, and the Phillips curve," Journal of Economic Behavior & Organization, Elsevier, vol. 99(C), pages 69-84.
    12. Cecion, Martina & Coenen, Günter & Gerke, Rafael & Le Bihan, Hervé & Motto, Roberto & Aguilar, Pablo & Ajevskis, Viktors & Giesen, Sebastian & Albertazzi, Ugo & Gilbert, Niels & Al-Haschimi, Alexander, 2021. "The ECB’s price stability framework: past experience, and current and future challenges," Occasional Paper Series 269, European Central Bank.
    13. Anna Kormilitsina & Denis Nekipelov, 2016. "Consistent Variance Of The Laplace‐Type Estimators: Application To Dsge Models," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 57(2), pages 603-622, May.
    14. Eleonora Granziera & Hyungsik Roger Moon & Frank Schorfheide, 2017. "Inference for VARs Identified with Sign Restrictions," Papers 1709.10196, arXiv.org, revised Feb 2018.
    15. Hemingway, Benjamin, 2025. "The role of central bank digital currency in an increasingly digital economy," Journal of Economic Dynamics and Control, Elsevier, vol. 179(C).
    16. Raffaella Giacomini & Toru Kitagawa & Alessio Volpicella, 2020. "Uncertain Identification," CeMMAP working papers CWP33/20, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    17. Ahmed, Shahzad & Ahmed, Waqas & Khan, Sajawal & Pasha, Farooq & Rehman, Muhammad, 2012. "Pakistan Economy DSGE Model with Informality," MPRA Paper 53135, University Library of Munich, Germany.
    18. Milani, Fabio, 2017. "Sentiment and the U.S. business cycle," Journal of Economic Dynamics and Control, Elsevier, vol. 82(C), pages 289-311.
    19. Di Bartolomeo Giovanni & Tirelli Patrizio, 2016. "Public finance and the optimal inflation rate," wp.comunite 00128, Department of Communication, University of Teramo.
    20. Rüdiger Bachmann & Tim O. Berg & Eric R. Sims, 2015. "Inflation Expectations and Readiness to Spend: Cross-Sectional Evidence," American Economic Journal: Economic Policy, American Economic Association, vol. 7(1), pages 1-35, February.
    21. Raffaella Giacomini & Toru Kitagawa, 2018. "Robust Bayesian inference for set-identified models," CeMMAP working papers CWP61/18, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    22. Pablo A Guerron-Quintana & James M Nason, 2012. "Bayesian Estimation of DSGE Models," CAMA Working Papers 2012-10, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    23. Qazi Haque, 2017. "Monetary Policy, Inflation Target and the Great Moderation: An Empirical Investigation," School of Economics and Public Policy Working Papers 2017-13, University of Adelaide, School of Economics and Public Policy.
    24. Stephen D. Williamson & Randall Wright, 2010. "New Monetarist Economics: methods," Staff Report 442, Federal Reserve Bank of Minneapolis.
    25. Saima Liaqat & Khalid Khan & Po Bunnika, 2018. "China9apos9s Consumption Function: An Empirical Test of Absolute and Permanent Income Hypothesis," Global Economics Review, Humanity Only, vol. 3(1), pages 90-97, June.
    26. Gabrovski, Miroslav & Geromichalos, Athanasios & Herrenbrueck, Lucas & Kospentaris, Ioannis & Lee, Sukjoon, 2025. "The real effects of financial disruptions in a monetary economy," Journal of Monetary Economics, Elsevier, vol. 151(C).
    27. Effah Nyamekye, Gabriel & Adusei Poku, Eugene, 2017. "What is the effect of inflation on consumer spending behaviour in Ghana?," MPRA Paper 81081, University Library of Munich, Germany.
    28. Frank Schorfheide, 2012. "EconomicDynamics Interviews Frank Schorfheide on DSGE Model Estimation," EconomicDynamics Newsletter, Review of Economic Dynamics, vol. 13(2), April.
    29. Yashar Blouri, Maximilian von Ehrlich, 2017. "On the optimal design of place-based policies: A structural evaluation of EU regional transfers," Diskussionsschriften credresearchpaper17, Universitaet Bern, Departement Volkswirtschaft - CRED.
    30. Silva, Mario, 2017. "New monetarism with endogenous product variety and monopolistic competition," Journal of Economic Dynamics and Control, Elsevier, vol. 75(C), pages 158-181.
    31. Qazi Haque, 2017. "Monetary Policy, Target Inflation and the Great Moderation: An Empirical Investigation," School of Economics and Public Policy Working Papers 2017-10, University of Adelaide, School of Economics and Public Policy.
    32. Olivier Coibion & Yuriy Gorodnichenko & Johannes Wieland, 2012. "The Optimal Inflation Rate in New Keynesian Models: Should Central Banks Raise Their Inflation Targets in Light of the Zero Lower Bound?," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 79(4), pages 1371-1406.
    33. Chadha, Jagjit S. & Corrado, Luisa & Holly, Sean, 2014. "A Note On Money And The Conduct Of Monetary Policy," Macroeconomic Dynamics, Cambridge University Press, vol. 18(8), pages 1854-1883, December.
    34. Dongho Song, 2014. "Bond Market Exposures to Macroeconomic and Monetary Policy Risks," PIER Working Paper Archive 14-017, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.
    35. Weber, Henning, 2015. "Innovation and the Optimal Rate of Inflation," VfS Annual Conference 2015 (Muenster): Economic Development - Theory and Policy 113087, Verein für Socialpolitik / German Economic Association.
    36. Michael Weber & Daniel Hoang & Francesco D'Acunto, 2015. "Inflation Expectations and Consumption Expenditure," 2015 Meeting Papers 1266, Society for Economic Dynamics.
    37. BOUAKEZ, Hafedh & KANO, Takashi, 2024. "Deciphering the Neo-Fisherian Effect," Discussion paper series HIAS-E-140, Hitotsubashi Institute for Advanced Study, Hitotsubashi University.
    38. Joshua Brault & Louis Phaneuf, 2021. "Higher Order Interest-Smoothing, Time-Varying Inflation Target and the Prospect of Indeterminacy," Working Papers 21-10, Chair in macroeconomics and forecasting, University of Quebec in Montreal's School of Management.
    39. Loberto, Michele & Perricone, Chiara, 2017. "Does trend inflation make a difference?," Economic Modelling, Elsevier, vol. 61(C), pages 351-375.
    40. Emanuele Bacchiocchi & Toru Kitagawa, 2025. "Locally- but not Globally-identified SVARs," Papers 2504.01441, arXiv.org.
    41. Wang, Liang, 2016. "Endogenous search, price dispersion, and welfare," Journal of Economic Dynamics and Control, Elsevier, vol. 73(C), pages 94-117.
    42. Raffaella Giacomini & Toru Kitagawa, 2014. "Inference about Non-Identi?ed SVARs," CeMMAP working papers CWP45/14, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    43. Mr. Maxym Kryshko, 2011. "Data-Rich DSGE and Dynamic Factor Models," IMF Working Papers 2011/216, International Monetary Fund.
    44. Weber, Henning, 2011. "Optimal inflation and firms' productivity dynamics," Kiel Working Papers 1685, Kiel Institute for the World Economy (IfW Kiel).
    45. Nicoletta Batini & Paul Levine & Emanuela Lotti & Bo Yang, 2011. "Informality, Frictions and Monetary Policy," School of Economics Discussion Papers 0711, School of Economics, University of Surrey.
    46. Manuel Gonzalez-Astudillo & Jean-Philippe Laforte, 2020. "Estimates of r* Consistent with a Supply-Side Structure and a Monetary Policy Rule for the U.S. Economy," Finance and Economics Discussion Series 2020-085, Board of Governors of the Federal Reserve System (U.S.).
    47. Fleissig, Adrian R. & Jones, Barry E., 2015. "The impact of commercial sweeping on the demand for monetary assets during the Great Recession," Journal of Macroeconomics, Elsevier, vol. 45(C), pages 412-422.
    48. De Graeve, Ferre & Mazzolini, Giulio, 2023. "The maturity composition of government debt: A comprehensive database," European Economic Review, Elsevier, vol. 154(C).
    49. Anna Kormilitsina & Denis Nekipelov, 2015. "Consistent Variance of the Laplace Type Estimators: Application to DSGE Models," Departmental Working Papers 1510, Southern Methodist University, Department of Economics.
    50. Weber, Henning, 2013. "Learning By Doing in New Firms and the Optimal Rate of Inflation," VfS Annual Conference 2013 (Duesseldorf): Competition Policy and Regulation in a Global Economic Order 79761, Verein für Socialpolitik / German Economic Association.
    51. Assenmacher, Katrin & Bitter, Lea & Ristiniemi, Annukka, 2023. "CBDC and business cycle dynamics in a New Monetarist New Keynesian model," Working Paper Series 2811, European Central Bank.
    52. Concetta Rondinelli & Roberta Zizza, 2020. "Spend today or spend tomorrow? The role of inflation expectations in consumer behaviour," Temi di discussione (Economic working papers) 1276, Bank of Italy, Economic Research and International Relations Area.
    53. Del Negro, Marco & Eusepi, Stefano, 2011. "Fitting observed inflation expectations," Journal of Economic Dynamics and Control, Elsevier, vol. 35(12), pages 2105-2131.
    54. John Duffy & Daniela Puzzello, 2022. "The Friedman Rule: Experimental Evidence," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 63(2), pages 671-698, May.
    55. Giovanni Nicolò, 2025. "US Monetary Policy and Indeterminacy," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 40(2), pages 195-213, March.
    56. Joshua Brault & Louis Phaneuf, 2025. "What Drives Low and Stable Inflation?," Working Papers 25-02, Chair in macroeconomics and forecasting, University of Quebec in Montreal's School of Management, revised Feb 2025.
    57. Ibrahim Ayoade Adekunle & Sheriffdeen Adewale Tella & Oluwaseyi Adedayo Adelowokan, 2021. "Macroeconomic policy volatility and household consumption in Africa," SN Business & Economics, Springer, vol. 1(3), pages 1-22, March.
    58. Negro, Marco Del & Schorfheide, Frank, 2013. "DSGE Model-Based Forecasting," Handbook of Economic Forecasting, in: G. Elliott & C. Granger & A. Timmermann (ed.), Handbook of Economic Forecasting, edition 1, volume 2, chapter 0, pages 57-140, Elsevier.
    59. Olivier Coibion & Yuriy Gorodnichenko & Johannes Wieland, 2010. "The Optimal Inflation Rate in New Keynesian Models," Working Papers 91, Economics Department, William & Mary.
    60. Vasco J. Gabriel & Paul Levine & Bo Yang, 2023. "Partial dollarization and financial frictions in emerging economies," Review of International Economics, Wiley Blackwell, vol. 31(2), pages 609-651, May.
    61. Marieh Azizirad, 2022. "Fisher vs Keynes: Does an Interest Rate Hike Cause Inflation to Increase or Decrease?," Discussion Papers dp22-08, Department of Economics, Simon Fraser University.
    62. Giovanni Di Bartolomeo & Patrizio Tirelli & Nicola Acocella, 2013. "The comeback of inflation as an optimal public finance tool," Working Papers 263, University of Milano-Bicocca, Department of Economics, revised Dec 2013.
    63. S. Boragan Aruoba & Frank Schorfheide, 2013. "Macroeconomic dynamics near the ZLB: a tale of two equilibria," Working Papers 13-29, Federal Reserve Bank of Philadelphia.
    64. Schabert, Andreas & Christoffel, Kai, 2015. "Interest rates, money, and banks in an estimated euro area model," Working Paper Series 1791, European Central Bank.
    65. Raffaella Giacomini & Toru Kitagawa, 2014. "Inference about Non-Identified SVARs," CeMMAP working papers 45/14, Institute for Fiscal Studies.
    66. Weber, Henning, 2012. "The optimal inflation rate and firm-level productivity growth," Kiel Working Papers 1773, Kiel Institute for the World Economy (IfW Kiel).
    67. Daniel R. Sanches, 2012. "The optimum quantity of money," Business Review, Federal Reserve Bank of Philadelphia, issue Q4, pages 8-15.

  41. Schorfheide, Frank & Fuentes-Albero, Cristina & Kryshko, Maxym & Santaeulà lia-Llopis, Raül, 2009. "Methods versus Substance: Measuring the Effects of Technology Shocks on Hours," CEPR Discussion Papers 7474, C.E.P.R. Discussion Papers.

    Cited by:

    1. Jiang, Kai & Xin, Baogui & Santibanez Gonzalez, Ernesto D.R., 2025. "Can industrial intelligence promote net-zero development? An analysis of resource dependence," The North American Journal of Economics and Finance, Elsevier, vol. 78(C).
    2. Alejandro Justiniano & Bruce Preston, 2006. "Can Structural Small Open Economy Models Account for the Influence of Foreign Disturbances?," 2006 Meeting Papers 479, Society for Economic Dynamics.
    3. Yao, Fang, 2009. "Real and nominal rigidities in price setting: A bayesian analysis using aggregate data," SFB 649 Discussion Papers 2009-057, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk.
    4. Alejandro Justiniano & Claudio Michelacci, 2011. "The Cyclical Behavior of Equilibrium Unemployment and Vacancies in the United States and Europe," NBER Chapters, in: NBER International Seminar on Macroeconomics 2011, pages 169-235, National Bureau of Economic Research, Inc.
    5. Yongsung Chang & Sun-Bin Kim & Frank Schorfheide, 2010. "Labor-Market Heterogeneity, Aggregation, and the Lucas Critique," NBER Working Papers 16401, National Bureau of Economic Research, Inc.
    6. Furlanetto, Francesco & Natvik, Gisle J. & Seneca, Martin, 2013. "Investment shocks and macroeconomic co-movement," Journal of Macroeconomics, Elsevier, vol. 37(C), pages 208-216.
    7. Frank Schorfheide, 2011. "Estimation and evaluation of DSGE models: progress and challenges," Working Papers 11-7, Federal Reserve Bank of Philadelphia.
    8. Frank Schorfheide, 2012. "EconomicDynamics Interviews Frank Schorfheide on DSGE Model Estimation," EconomicDynamics Newsletter, Review of Economic Dynamics, vol. 13(2), April.
    9. Alejandro Justiniano & Claudio Michelacci, 2011. "The Cyclical Behavior of Equilibrium Unemployment and Vacancies in the US and Europe," NBER Working Papers 17429, National Bureau of Economic Research, Inc.
    10. Enrique Martínez-García & Diego Vilán & Mark A. Wynne, 2012. "Bayesian Estimation of NOEM Models: Identification and Inference in Small Samples," Advances in Econometrics, in: DSGE Models in Macroeconomics: Estimation, Evaluation, and New Developments, pages 137-199, Emerald Group Publishing Limited.
    11. Jesús Rodríguez López, 2010. "Growth, fluctuations and technology in the U.S. post-war economy," Working Papers 10.01, Universidad Pablo de Olavide, Department of Economics.
    12. Yao, Fang, 2010. "Aggregate hazard function in price-setting: A bayesian analysis using macro data," SFB 649 Discussion Papers 2010-020, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk.
    13. Cristiano Cantore & Filippo Ferroni & Miguel A León-Ledesma, 2012. "Interpreting the Hours-Technology time-varying relationship," Studies in Economics 1201, School of Economics, University of Kent.
    14. Sacht, Stephen & Franke, Reiner & Jang, Tae-Seok, 2013. "Moment Matching versus Bayesian Estimation: Backward-Looking Behaviour in a New-Keynesian Baseline Model," VfS Annual Conference 2013 (Duesseldorf): Competition Policy and Regulation in a Global Economic Order 79694, Verein für Socialpolitik / German Economic Association.
    15. Cruz Echevarría, 2015. "Income tax progressivity, growth, income inequality and welfare," SERIEs: Journal of the Spanish Economic Association, Springer;Spanish Economic Association, vol. 6(1), pages 43-72, March.
    16. Ikeda, Daisuke, 2015. "Optimal inflation rates with the trending relative price of investment," Journal of Economic Dynamics and Control, Elsevier, vol. 56(C), pages 20-33.
    17. Nikolay Iskrev, 2013. "On the distribution of information in the moment structure of DSGE models," 2013 Meeting Papers 339, Society for Economic Dynamics.

  42. Hyungsik Roger Moon & Frank Schorfheide, 2009. "Bayesian and Frequentist Inference in Partially Identified Models," NBER Working Papers 14882, National Bureau of Economic Research, Inc.

    Cited by:

    1. Khalaf, Lynda & Lin, Zhenjiang, 2021. "Projection-based inference with particle swarm optimization," Journal of Economic Dynamics and Control, Elsevier, vol. 128(C).
    2. Norets, Andriy & Shimizu, Kenichi, 2024. "Semiparametric Bayesian estimation of dynamic discrete choice models," Journal of Econometrics, Elsevier, vol. 238(2).
    3. Xiaohong Chen & Timothy M. Christensen & Elie Tamer, 2017. "Monte Carlo confidence sets for identified sets," CeMMAP working papers CWP43/17, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    4. Xiaohong Chen & Timothy M. Christensen & Keith O'Hara & Elie Tamer, 2016. "MCMC confidence sets for identified sets," CeMMAP working papers CWP28/16, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    5. Miranda-Agrippino, Silvia & Ricco, Giovanni, 2018. "Bayesian vector autoregressions," LSE Research Online Documents on Economics 87393, London School of Economics and Political Science, LSE Library.
    6. Armstrong, Timothy B., 2014. "Weighted KS statistics for inference on conditional moment inequalities," Journal of Econometrics, Elsevier, vol. 181(2), pages 92-116.
    7. Matthew Masten & Alexandre Poirier, 2017. "Inference on breakdown frontiers," CeMMAP working papers 20/17, Institute for Fiscal Studies.
    8. Schorfheide, Frank & Aruoba, Boragan & Mlikota, Marko & Villalvazo, Sergio, 2021. "SVARs With Occasionally-Binding Constraints," CEPR Discussion Papers 15923, C.E.P.R. Discussion Papers.
    9. Watanabe, Hajime & Maruyama, Takuya, 2024. "A Bayesian sample selection model with a binary outcome for handling residential self-selection in individual car ownership," Journal of choice modelling, Elsevier, vol. 51(C).
    10. Ivan A. Canay & Azeem M. Shaikh, 2016. "Practical and theoretical advances in inference for partially identified models," CeMMAP working papers CWP05/16, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    11. Zabavnik, Darja & Verbič, Miroslav, 2024. "Unravelling the credit market shocks and investment dynamics: A theoretical and empirical perspective," International Review of Financial Analysis, Elsevier, vol. 94(C).
    12. Christiane Baumeister & James D. Hamilton, 2018. "Inference in Structural Vector Autoregressions when the Identifying Assumptions are not Fully Believed: Re-evaluating the Role of Monetary Policy in Economic Fluctuations," CESifo Working Paper Series 7048, CESifo.
    13. Christiane Baumeister & James D. Hamilton, 2015. "Sign Restrictions, Structural Vector Autoregressions, and Useful Prior Information," Econometrica, Econometric Society, vol. 83(5), pages 1963-1999, September.
    14. Montiel Olea, José Luis & Nesbit, James, 2021. "(Machine) learning parameter regions," Journal of Econometrics, Elsevier, vol. 222(1), pages 716-744.
    15. Rubio-Ramírez, Juan Francisco & , & Arias, Jonas E., 2014. "Inference Based on SVAR Identified with Sign and Zero Restrictions: Theory and Applications," CEPR Discussion Papers 9796, C.E.P.R. Discussion Papers.
    16. Zach Flynn, 2020. "Identifying productivity when it is a factor of production," RAND Journal of Economics, RAND Corporation, vol. 51(2), pages 496-530, June.
    17. Jiang, Wenxin, 2017. "On limiting distribution of quasi-posteriors under partial identification," Econometrics and Statistics, Elsevier, vol. 3(C), pages 60-72.
    18. Victor Chernozhukov & Christian Hansen & Lingwei Kong & Weining Wang, 2025. "Plausible GMM: a quasi-bayesian approach," CeMMAP working papers 14/25, Institute for Fiscal Studies.
    19. Zhongjun Qu & Fan Zhuo, 2015. "Likelihood Ratio Based Tests for Markov Regime Switching," Boston University - Department of Economics - Working Papers Series wp2015-003, Boston University - Department of Economics.
    20. Molinari, Francesca, 2020. "Microeconometrics with partial identification," Handbook of Econometrics, in: Steven N. Durlauf & Lars Peter Hansen & James J. Heckman & Rosa L. Matzkin (ed.), Handbook of Econometrics, edition 1, volume 7, chapter 0, pages 355-486, Elsevier.
    21. Jonas E. Arias & Juan Rubio-Ramirez & Daniel F. Waggoner, 2013. "Inference Based on SVARs Identied with Sign and Zero Restrictions: Theory and Applications," Working Papers 2013-24, FEDEA.
    22. Matthew Read, 2023. "Estimating the Effects of Monetary Policy in Australia Using Sign‐restricted Structural Vector Autoregressions," The Economic Record, The Economic Society of Australia, vol. 99(326), pages 329-358, September.
    23. Thorsten Drautzburg, 2020. "A narrative approach to a fiscal DSGE model," Quantitative Economics, Econometric Society, vol. 11(2), pages 801-837, May.
    24. Canova, Fabio & Paustian, Matthias, 2011. "Business cycle measurement with some theory," CEPR Discussion Papers 8364, C.E.P.R. Discussion Papers.
    25. Fischer, Andreas & Greminger, Rafael P. & Grisse, Christian & Kaufmann, Sylvia, 2021. "Portfolio rebalancing in times of stress," CEPR Discussion Papers 15777, C.E.P.R. Discussion Papers.
    26. Eleonora Granziera & Hyungsik Roger Moon & Frank Schorfheide, 2017. "Inference for VARs Identified with Sign Restrictions," Papers 1709.10196, arXiv.org, revised Feb 2018.
    27. Danne, Christian, 2015. "VARsignR: Estimating VARs using sign restrictions in R," MPRA Paper 68429, University Library of Munich, Germany.
    28. David M. Kaplan & Longhao Zhuo, 2018. "Frequentist size of Bayesian inequality tests," Working Papers 1802, Department of Economics, University of Missouri, revised 14 Jul 2019.
    29. Raffaella Giacomini & Toru Kitagawa & Alessio Volpicella, 2020. "Uncertain Identification," CeMMAP working papers CWP33/20, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    30. Raffaella Giacomini & Toru Kitagawa & Harald Uhlig, 2019. "Estimation Under Ambiguity," CeMMAP working papers CWP24/19, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    31. Gregory Bauer & Eleonora Granziera, 2016. "Monetary Policy, Private Debt and Financial Stability Risks," Staff Working Papers 16-59, Bank of Canada.
    32. Pérez-Forero, Fernando & Vega, Marco, 2014. "The Dynamic Effects of Interest Rates and Reserve Requirements," Working Papers 2014-018, Banco Central de Reserva del Perú.
    33. Shinya Sugawara & Yasuhiro Omori, 2013. "An Econometric Analysis of Insurance Markets with Separate Identification for Moral Hazard and Selection," CIRJE F-Series CIRJE-F-882, CIRJE, Faculty of Economics, University of Tokyo.
    34. Hyeon-seung Huh & David Kim, 2025. "An empirical assessment of the influence of informative rotation prior in the sign-identified SVAR model," Working papers 2025rwp-246, Yonsei University, Yonsei Economics Research Institute.
    35. Tamer, Elie & Kline, Brendan, 2016. "Bayesian inference in a class of partially identified models," Scholarly Articles 30780157, Harvard University Department of Economics.
    36. Larry G. Epstein & Kyoungwon Seo, 2013. "De Finetti Meets Ellsberg," CIRANO Working Papers 2013s-35, CIRANO.
    37. Thorsten Drautzburg & Pooyan Amir-Ahmadi, 2017. "Identification through Heterogeneity," 2017 Meeting Papers 1087, Society for Economic Dynamics.
    38. Raffaella Giacomini & Toru Kitagawa, 2018. "Robust Bayesian inference for set-identified models," CeMMAP working papers CWP61/18, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    39. Liu, Xiaobin & Li, Yong & Yu, Jun & Zeng, Tao, 2022. "Posterior-based Wald-type statistics for hypothesis testing," Journal of Econometrics, Elsevier, vol. 230(1), pages 83-113.
    40. Xiaohong Chen & Timothy M. Christensen & Elie Tamer, 2017. "Monte Carlo confidence sets for identified sets," CeMMAP working papers 43/17, Institute for Fiscal Studies.
    41. Bollinger, Christopher R. & van Hasselt, Martijn, 2017. "Bayesian moment-based inference in a regression model with misclassification error," Journal of Econometrics, Elsevier, vol. 200(2), pages 282-294.
    42. Liao, Yuan & Simoni, Anna, 2012. "Semi-parametric Bayesian Partially Identified Models based on Support Function," MPRA Paper 43262, University Library of Munich, Germany.
    43. Ashesh Rambachan & Jon Kleinberg & Sendhil Mullainathan & Jens Ludwig, 2020. "An Economic Approach to Regulating Algorithms," NBER Working Papers 27111, National Bureau of Economic Research, Inc.
    44. Francesca Molinari, 2019. "Econometrics with Partial Identification," CeMMAP working papers CWP25/19, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    45. Francis DiTraglia & Camilo Garcia-Jimeno, 2015. "A Framework for Eliciting, Incorporating, and Disciplining Identification Beliefs in Linear Models, Third Version," PIER Working Paper Archive 15-030, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania, revised 09 Sep 2015.
    46. Armstrong, Timothy B., 2015. "Asymptotically exact inference in conditional moment inequality models," Journal of Econometrics, Elsevier, vol. 186(1), pages 51-65.
    47. Georgiadis, Georgios & Müller, Gernot J. & Schumann, Ben, 2021. "Global risk and the dollar," Working Paper Series 2628, European Central Bank.
    48. Timothy B. Armstrong & Hock Peng Chan, 2013. "Multiscale Adaptive Inference on Conditional Moment Inequalities," Cowles Foundation Discussion Papers 1885R, Cowles Foundation for Research in Economics, Yale University, revised Oct 2014.
    49. Bollinger, Christopher R. & van Hasselt, Martijn, 2017. "A Bayesian analysis of binary misclassification," Economics Letters, Elsevier, vol. 156(C), pages 68-73.
    50. Martijn van Hasselt & Christopher R. Bollinger & Jeremy W. Bray, 2022. "A Bayesian approach to account for misclassification in prevalence and trend estimation," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 37(2), pages 351-367, March.
    51. Bollinger, Christopher R. & van Hasselt, Martijn, 2020. "Estimating the cumulative rate of SARS-CoV-2 infection," Economics Letters, Elsevier, vol. 197(C).
    52. Helmut Lütkepohl & Aleksei NetŠunajev, 2014. "Disentangling Demand And Supply Shocks In The Crude Oil Market: How To Check Sign Restrictions In Structural Vars," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 29(3), pages 479-496, April.
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    54. Drautzburg, Thorsten & Wright, Jonathan H, 2021. "Refining Set-Identification in VARs through Independence," Economics Working Paper Archive 64575, The Johns Hopkins University,Department of Economics.
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    58. Timothy Christensen & Hyungsik Roger Moon & Frank Schorfheide, 2020. "Robust Forecasting," Papers 2011.03153, arXiv.org, revised Dec 2020.
    59. Raffaella Giacomini & Toru Kitagawa & Matthew Read, 2021. "Identification and Inference Under Narrative Restrictions," Papers 2102.06456, arXiv.org.
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    62. Breitenlechner, Max & Mathy, Gabriel P. & Scharler, Johann, 2021. "Decomposing the U.S. Great Depression: How important were loan supply shocks?," Explorations in Economic History, Elsevier, vol. 79(C).
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    65. Herwartz, Helmut & Wang, Shu, 2023. "Point estimation in sign-restricted SVARs based on independence criteria with an application to rational bubbles," Journal of Economic Dynamics and Control, Elsevier, vol. 151(C).
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    78. Kyungchul Song, 2009. "Point Decisions for Interval-Identified Parameters," PIER Working Paper Archive 09-036, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.
    79. Francis DiTraglia & Camilo Garcia-Jimeno, 2015. "A Framework for Eliciting, Incorporating, and Disciplining Identification Beliefs in Linear Models, Second Version," PIER Working Paper Archive 15-028, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania, revised 31 Aug 2015.
    80. Doh, Taeyoung & Smith, A. Lee, 2022. "A new approach to integrating expectations into VAR models," Journal of Monetary Economics, Elsevier, vol. 132(C), pages 24-43.
    81. Victor Chernozhukov & Christian B. Hansen & Lingwei Kong & Weining Wang, 2025. "Plausible GMM: A Quasi-Bayesian Approach," Papers 2507.00555, arXiv.org.
    82. Francis J. DiTraglia & Camilo Garcia-Jimeno, 2020. "A Framework for Eliciting, Incorporating, and Disciplining Identification Beliefs in Linear Models," Papers 2011.07276, arXiv.org.
    83. Sasaki, Yuya & Takahashi, Yuya & Xin, Yi & Hu, Yingyao, 2023. "Dynamic discrete choice models with incomplete data: Sharp identification," Journal of Econometrics, Elsevier, vol. 236(1).
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    85. Xiaohong Chen & Timothy M. Christensen & Keith O'Hara & Elie Tamer, 2016. "MCMC confidence sets for identified sets," CeMMAP working papers 28/16, Institute for Fiscal Studies.
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    88. Matthew Read, 2024. "Sign Restrictions and Supply-demand Decompositions of Inflation," RBA Research Discussion Papers rdp2024-05, Reserve Bank of Australia.
    89. Sydney C. Ludvigson & Sai Ma & Serena Ng, 2015. "Uncertainty and Business Cycles: Exogenous Impulse or Endogenous Response?," NBER Working Papers 21803, National Bureau of Economic Research, Inc.
    90. Paul Carrillo‐Maldonado, 2023. "Partial identification for growth regimes: The case of Latin American countries," Metroeconomica, Wiley Blackwell, vol. 74(3), pages 557-583, July.
    91. Breitenlechner, Max & Nuutilainen, Riikka, 2019. "China's monetary policy and the loan market: How strong is the credit channel in China?," BOFIT Discussion Papers 15/2019, Bank of Finland Institute for Emerging Economies (BOFIT).
    92. Francis DiTraglia & Camilo García-Jimeno, 2016. "A Framework for Eliciting, Incorporating, and Disciplining Identification Beliefs in Linear Models," NBER Working Papers 22621, National Bureau of Economic Research, Inc.
    93. Sydney C. Ludvigson & Sai Ma & Serena Ng, 2017. "Shock Restricted Structural Vector-Autoregressions," NBER Working Papers 23225, National Bureau of Economic Research, Inc.
    94. Kline, Brendan, 2024. "Classical p-values and the Bayesian posterior probability that the hypothesis is approximately true," Journal of Econometrics, Elsevier, vol. 240(1).
    95. Yuan Liao & Anna Simoni, 2016. "Bayesian Inference for Partially Identified Convex Models: Is it Valid for Frequentist Inference?," Departmental Working Papers 201607, Rutgers University, Department of Economics.
    96. Isaiah Andrews & Anna Mikusheva, 2022. "Optimal Decision Rules for Weak GMM," Econometrica, Econometric Society, vol. 90(2), pages 715-748, March.
    97. Gafarov, Bulat & Meier, Matthias & Montiel Olea, José Luis, 2018. "Delta-method inference for a class of set-identified SVARs," Journal of Econometrics, Elsevier, vol. 203(2), pages 316-327.

  43. Maxym Kryshko & Frank Schorfheide & Keith Sill, 2008. "DSGE model-based forecasting of non-modelled variables," Working Papers 08-17, Federal Reserve Bank of Philadelphia.

    Cited by:

    1. Andrés González Gómez & Lavan Mahadeva & Diego Rodríguez & Luis Eduardo Rojas, 2009. "Monetary Policy Forecasting in a DSGE Model with Data that is Uncertain, Unbalanced and About the Future," Borradores de Economia 559, Banco de la Republica de Colombia.
    2. Amir-Ahmadi, Pooyan & Matthes, Christian & Wang, Mu-Chun, 2017. "Measurement errors and monetary policy: Then and now," Journal of Economic Dynamics and Control, Elsevier, vol. 79(C), pages 66-78.
    3. Rangan Gupta & Patrick T. Kanda & Mampho P. Modise & Alessia Paccagnini, 2015. "DSGE model-based forecasting of modelled and nonmodelled inflation variables in South Africa," Open Access publications 10197/7351, School of Economics, University College Dublin.
    4. Barbara Rudolf & Mathias Zurlinden, 2014. "A compact open economy DSGE model for Switzerland," Economic Studies 2014-08, Swiss National Bank.
    5. Zhang, Xiaodi, 2025. "Integrating policy design with agricultural emissions reduction in China: A multi-sector DSGE Approach," Economic Analysis and Policy, Elsevier, vol. 86(C), pages 2019-2048.
    6. Nana Kwame Akosah & Imhotep Paul Alagidede & Eric Schaling, 2024. "General Equilibrium Model for Monetary Policy Responses to Macroeconomic Instabilities in Developing Economy: A Ghanaian Perspective," South Asian Journal of Macroeconomics and Public Finance, , vol. 13(2), pages 213-272, December.
    7. Rangan Gupta & Rudi Steinbach, 2010. "Forecasting Key Macroeconomic Variables of the South African Economy: A Small Open Economy New Keynesian DSGE-VAR Model," Working Papers 201019, University of Pretoria, Department of Economics.
    8. Juan Guerra-Salas & Markus Kirchner & Rodrigo Tranamil, 2021. "Search Frictions and the Business Cycle in a Small Open Economy DSGE Model," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 39, pages 258-279, January.
    9. Roberta Cardani & Alessia Paccagnini & Stefania Villa, 2015. "Forecasting with Instabilities: an Application to DSGE Models with Financial Frictions," Working Papers 201523, School of Economics, University College Dublin.
    10. Christopher McDonald & Craig Thamotheram & Shaun P. Vahey & Elizabeth C. Wakerly, 2016. "Assessing the Economic Value of Probabilistic Forecasts in the Presence of an Inflation Target," CAMA Working Papers 2016-40, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    11. Wolden Bache, Ida & Sofie Jore, Anne & Mitchell, James & Vahey, Shaun P., 2011. "Combining VAR and DSGE forecast densities," Journal of Economic Dynamics and Control, Elsevier, vol. 35(10), pages 1659-1670, October.
    12. Galvão, Ana Beatriz, 2017. "Data revisions and DSGE models," Journal of Econometrics, Elsevier, vol. 196(1), pages 215-232.
    13. Stelios Bekiros & Alessia Paccagnini, 2013. "On the predictability of time-varying VAR and DSGE models," Empirical Economics, Springer, vol. 45(1), pages 635-664, August.
    14. Wieland, Volker & Wolters, Maik Hendrik, 2012. "Forecasting and policy making," IMFS Working Paper Series 62, Goethe University Frankfurt, Institute for Monetary and Financial Stability (IMFS).
    15. Edward P. Herbst & Frank Schorfheide, 2012. "Evaluating DSGE model forecasts of comovements," Finance and Economics Discussion Series 2012-11, Board of Governors of the Federal Reserve System (U.S.).
    16. Markus Kirchner & Rodrigo Tranamil, 2016. "Calvo Wages Vs. Search Frictions: a Horse Race in a DSGE Model of a Small Open Economy," Working Papers Central Bank of Chile 778, Central Bank of Chile.
    17. Dario Caldara & Richard Harrison & Anna Lipińska, 2014. "Practical Tools For Policy Analysis In Dsge Models With Missing Shocks," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 29(7), pages 1145-1163, November.
    18. Paccagnini, Alessia, 2017. "Dealing with Misspecification in DSGE Models: A Survey," MPRA Paper 82914, University Library of Munich, Germany.
    19. Kamber, Gunes & McDonald, Chris & Sander, Nick & Theodoridis, Konstantinos, 2016. "Modelling the business cycle of a small open economy: The Reserve Bank of New Zealand's DSGE model," Economic Modelling, Elsevier, vol. 59(C), pages 546-569.
    20. Alessia Paccagnini, 2012. "Comparing Hybrid DSGE Models," Working Papers 228, University of Milano-Bicocca, Department of Economics, revised Dec 2012.
    21. Martin Fukaè & Vladimír Havlena, 2011. "A Note on the Role of the Natural Condition of Control in the Estimation of DSGE Models," Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, vol. 61(5), pages 453-466, November.
    22. Iiboshi, Hirokuni & Matsumae, Tatsuyoshi & Namba, Ryoichi & Nishiyama, Shin-Ichi, 2015. "Estimating a DSGE model for Japan in a data-rich environment," Journal of the Japanese and International Economies, Elsevier, vol. 36(C), pages 25-55.
    23. Shaun P Vahey & Elizabeth C Wakerly, 2013. "Moving towards probability forecasting," BIS Papers chapters, in: Bank for International Settlements (ed.), Globalisation and inflation dynamics in Asia and the Pacific, volume 70, pages 3-8, Bank for International Settlements.
    24. Güneş Kamber & Chris McDonald & Nicholas Sander & Konstantinos Theodoridis, 2015. "A structural model for policy analysis and forecasting: NZSIM," Reserve Bank of New Zealand Discussion Paper Series DP2015/05, Reserve Bank of New Zealand.
    25. Dean Croushore & Keith Sill, 2014. "Analyzing data revisions with a dynamic stochastic general equilibrium model," Working Papers 14-29, Federal Reserve Bank of Philadelphia.
    26. Negro, Marco Del & Schorfheide, Frank, 2013. "DSGE Model-Based Forecasting," Handbook of Economic Forecasting, in: G. Elliott & C. Granger & A. Timmermann (ed.), Handbook of Economic Forecasting, edition 1, volume 2, chapter 0, pages 57-140, Elsevier.
    27. Rangan Gupta & Patrick Kanda & Mampho Modise & Alessia Paccagnini, 2013. "DGSE Model-Based Forecasting of Modeled and Non-Modeled Inflation Variables in South Africa," Working Papers 259, University of Milano-Bicocca, Department of Economics, revised Nov 2013.
    28. Alejandro Steven Fonseca-Zendejas & Carmen Borrego-Salcido & Francisco Venegas-Martínez, 2025. "An Estimated DSGE Model Under the New Keynesian Framework for Mexico," Computational Economics, Springer;Society for Computational Economics, vol. 66(2), pages 1297-1320, August.
    29. Shaun de Jager & Michael Johnston & Rudi Steinbach, 2015. "A Revised Quarterly Projection Model for South Africa," Working Papers 6839, South African Reserve Bank.
    30. Roberta Cardani & Alessia Paccagnini & Stefania Villa, 2015. "Forecasting in a DSGE Model with Banking Intermediation: Evidence from the US," Working Papers 292, University of Milano-Bicocca, Department of Economics, revised Feb 2015.
    31. Ruey Yau & C. James Hueng, 2019. "Nowcasting GDP Growth for Small Open Economies with a Mixed-Frequency Structural Model," Computational Economics, Springer;Society for Computational Economics, vol. 54(1), pages 177-198, June.

  44. Marco del Negro & Frank Schorfheide, 2008. "Inflation Dynamics in a Small Open Economy Model Under Inflation Targeting: Some Evidence From Chile," Working Papers Central Bank of Chile 486, Central Bank of Chile.

    Cited by:

    1. Lees, Kirdan & Matheson, Troy & Smith, Christie, 2011. "Open economy forecasting with a DSGE-VAR: Head to head with the RBNZ published forecasts," International Journal of Forecasting, Elsevier, vol. 27(2), pages 512-528.
    2. Carvalho, Carlos Viana de & Vilela, André D., 2015. "What lf Brazil Hadn't Floated the Real in 1999?," Brazilian Review of Econometrics, Sociedade Brasileira de Econometria - SBE, vol. 35(2), March.
    3. Zhang, Bo & Dai, Wei, 2020. "Trend inflation and macroeconomic stability in a small open economy," Economic Modelling, Elsevier, vol. 91(C), pages 769-778.
    4. Stefan Leist, 2013. "Driving Forces of the Swiss Output Gap," Swiss Journal of Economics and Statistics (SJES), Swiss Society of Economics and Statistics (SSES), vol. 149(IV), pages 493-531, December.
    5. Mr. Marco Airaudo & Mr. Edward F Buffie & Luis-Felipe Zanna, 2016. "Inflation Targeting and Exchange Rate Management In Less Developed Countries," IMF Working Papers 2016/055, International Monetary Fund.
    6. Ragna Alstadheim & Hilde C. Bjørnland & Junior Maih, 2013. "Do central banks respond to exchange rate movements? A Markov-switching structural investigation," Working Paper 2013/24, Norges Bank.
    7. Chen, Xiaoshan & MacDonald, Ronald, 2011. "Realised and Optimal Monetary Policy Rules in an Estimated Markov-Switching DSGE Model of the United Kingdom," SIRE Discussion Papers 2011-21, Scottish Institute for Research in Economics (SIRE).
    8. Luis Catão & Adrian Pagan, 2010. "The Credit Channel and Monetary Transmission in Brazil and Chile: A Structural VAR Approach," Working Papers Central Bank of Chile 579, Central Bank of Chile.
    9. Waqas Ahmed & Muhammad Jahanzeb Malik & Muhammad Rehman, 2014. "Quarterly Bayesian DSGE Model of Pakistan Economy with Informality," SBP Working Paper Series 68, State Bank of Pakistan, Research Department.
    10. William Ginn & Marc Pourroy, 2020. "Should a central bank react to food inflation? Evidence from an estimated model for Chile," Post-Print hal-03579680, HAL.
    11. Carlos Madeira & Leonardo Salazar, 2023. "The Impact of Monetary Policy on a Labor Market with Heterogeneous Workers: The Case of Chile," Working Papers Central Bank of Chile 980, Central Bank of Chile.
    12. Stefan Leist & Klaus Neusser, 2010. "Measuring the Natural Output Level by DSGE Models: An Empirical Investigation for Switzerland," Swiss Journal of Economics and Statistics (SJES), Swiss Society of Economics and Statistics (SSES), vol. 146(I), pages 275-300, March.
    13. Hilde Christiane Bjørnland & Ragna Alstadheim & Junior Maih, 2021. "Do Central Banks Respond to Exchange Rate Movements? A Markov-Switching Structural Investigation of Commodity Exporters and Importers," Working Papers No 12/2020, Centre for Applied Macro- and Petroleum economics (CAMP), BI Norwegian Business School.
    14. Choi, Jinho & Hur, Joonyoung, 2015. "An examination of macroeconomic fluctuations in Korea exploiting a Markov-switching DSGE approach," Economic Modelling, Elsevier, vol. 51(C), pages 183-199.
    15. Martin Fukac & Adrian Pagan, 2009. "Structural Macro-Econometric Modelling in a Policy Environment," NCER Working Paper Series 50, National Centre for Econometric Research.
    16. Shayan Zakipour-Saber, 2019. "Monetary policy regimes and inflation persistence in the United Kingdom," Working Papers 895, Queen Mary University of London, School of Economics and Finance.
    17. Fernando de Menezes Linardi, 2016. "Assessing the Fit of a Small Open-Economy DSGE Model for the Brazilian Economy," Working Papers Series 424, Central Bank of Brazil, Research Department.
    18. Marco Airaudo, 2012. "Endogenous Dollarization, Sovereign Risk Premia and the Taylor Principle," School of Economics Working Paper Series 2012-11, LeBow College of Business, Drexel University.
    19. William Ginn & Marc Pourroy, 2022. "The Contribution of Food Subsidy Policy to Monetary Policy in India," Post-Print hal-02944209, HAL.
    20. Buffie, Edward F. & Zanna, Luis-Felipe, 2018. "Limited Asset Market Participation And Determinacy In The Open Economy," Macroeconomic Dynamics, Cambridge University Press, vol. 22(8), pages 1937-1977, December.
    21. Buffie, Edward F. & Airaudo, M. & Zanna, Felipe, 2018. "Inflation targeting and exchange rate management in less developed countries," Journal of International Money and Finance, Elsevier, vol. 81(C), pages 159-184.
    22. Mr. Selim A Elekdag & Mr. Harun Alp, 2011. "The Role of Monetary Policy in Turkey During the Global Financial Crisis," IMF Working Papers 2011/150, International Monetary Fund.
    23. Zheng, Tingguo & Guo, Huiming, 2013. "Estimating a small open economy DSGE model with indeterminacy: Evidence from China," Economic Modelling, Elsevier, vol. 31(C), pages 642-652.

  45. Frank Schorfheide & S. Boragan Aruoba, 2008. "Insights from an Estimated Search-Based Monetary Model with Nominal Rigidities," 2008 Meeting Papers 371, Society for Economic Dynamics.

    Cited by:

    1. Michael Cai & Marco Del Negro & Marc Giannoni & Abhi Gupta & Pearl Li & Erica Moszkowski, 2018. "DSGE forecasts of the lost recovery," Staff Reports 844, Federal Reserve Bank of New York.
    2. Marco Del Negro & Marc P. Giannoni & Frank Schorfheide, 2014. "Inflation in the Great Recession and New Keynesian Models," NBER Working Papers 20055, National Bureau of Economic Research, Inc.
    3. Stephen D. Williamson, 2008. "New Keynesian economics : a monetary perspective," Economic Quarterly, Federal Reserve Bank of Richmond, vol. 94(Sum), pages 197-218.
    4. Marco Del Negro & Domenico Giannone & Marc P. Giannoni & Andrea Tambalotti, 2017. "Safety, Liquidity, and the Natural Rate of Interest," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 48(1 (Spring), pages 235-316.

  46. Frank Schorfheide & Francis X. Diebold & Marco Del Negro, 2008. "Priors from Frequency-Domain Dummy Observations," 2008 Meeting Papers 310, Society for Economic Dynamics.

    Cited by:

    1. Zhongjun Qu, 2018. "A Composite Likelihood Framework for Analyzing Singular DSGE Models," The Review of Economics and Statistics, MIT Press, vol. 100(5), pages 916-932, December.
    2. Zhongjun Qu, 2011. "Inference and Speci?cation Testing in DSGE Models with Possible Weak Identification," Boston University - Department of Economics - Working Papers Series WP2011-058, Boston University - Department of Economics.

  47. Del Negro, Marco & Schorfheide, Frank, 2007. "Forming Priors for DSGE Models (and How It Affects the Assessment of Nominal Rigidities)," CEPR Discussion Papers 6119, C.E.P.R. Discussion Papers.

    Cited by:

    1. Ríos-Rull, José-Víctor & Schorfheide, Frank & Fuentes-Albero, Cristina & Kryshko, Maxym & Santaeulàlia-Llopis, Raül, 2012. "Methods versus substance: Measuring the effects of technology shocks," Journal of Monetary Economics, Elsevier, vol. 59(8), pages 826-846.
    2. Gaston Navarro & Axelle Ferriere, 2016. "The Heterogeneous Effects of Government Spending: It's All About Taxes," 2016 Meeting Papers 1286, Society for Economic Dynamics.
    3. Francesco Bianchi & Renato Faccini & Leonardo Melosi, 2020. "Monetary and Fiscal Policies in Times of Large Debt: Unity is Strength," NBER Working Papers 27112, National Bureau of Economic Research, Inc.
    4. Frank Schorfheide & Marco Del Negro, 2007. "Forming Priors for DSGE Models (and How It Affects the Assessment of Nominal Rigidities)," 2007 Meeting Papers 283, Society for Economic Dynamics.
    5. Del Negro, Marco & Schorfheide, Frank, 2005. "Monetary policy analysis with potentially misspecified models," Working Paper Series 475, European Central Bank.
    6. Efrem Castelnuovo, 2009. "Estimating the Evolution of Money's Role in the U.S. Monetary Business Cycle," "Marco Fanno" Working Papers 0103, Dipartimento di Scienze Economiche "Marco Fanno".
    7. Kliem, Martin & Meyer-Gohde, Alexander, 2017. "(Un)expected Monetary Policy Shocks and Term Premia," SFB 649 Discussion Papers 2017-015, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk.
    8. Canova, Fabio & Matthes, Christian, 2018. "A composite likelihood approach for dynamic structural models," CEPR Discussion Papers 13245, C.E.P.R. Discussion Papers.
    9. Alejandro Justiniano & Giorgio E. Primiceri & Andrea Tambalotti, 2008. "Investment shocks and business cycles," Staff Reports 322, Federal Reserve Bank of New York.
    10. Jon Faust & Abhishek Gupta, 2012. "Posterior Predictive Analysis for Evaluating DSGE Models," NBER Working Papers 17906, National Bureau of Economic Research, Inc.
    11. Michael Cai & Marco Del Negro & Marc Giannoni & Abhi Gupta & Pearl Li & Erica Moszkowski, 2018. "DSGE forecasts of the lost recovery," Staff Reports 844, Federal Reserve Bank of New York.
    12. NANA DAVIES, Charles, 2018. "Sources of Macroeconomic Fluctuations in a Franc Zone Country: A Bayesian estimation," MPRA Paper 99998, University Library of Munich, Germany.
    13. Matteo Iacoviello & Fabio Schiantarelli & Scott Schuh, 2010. "Input and output inventories in general equilibrium," International Finance Discussion Papers 1004, Board of Governors of the Federal Reserve System (U.S.).
    14. Martinez-Martin Jaime & Morris Richard & Onorante Luca & Piersanti Fabio Massimo, 2024. "Merging Structural and Reduced-Form Models for Forecasting," The B.E. Journal of Macroeconomics, De Gruyter, vol. 24(1), pages 399-437, January.
    15. Gary, Koop, 2013. "Using VARs and TVP-VARs with Many Macroeconomic Variables," SIRE Discussion Papers 2013-35, Scottish Institute for Research in Economics (SIRE).
    16. Afrin, Sadia, 2020. "Does oligopolistic banking friction amplify small open economy's business cycles? Evidence from Australia," Economic Modelling, Elsevier, vol. 85(C), pages 119-138.
    17. Jarkko Jääskelä & Kristoffer Nimark, 2008. "A Medium-scale Open Economy Model of Australia," RBA Research Discussion Papers rdp2008-07, Reserve Bank of Australia.
    18. Ron Gallant & Raffaella Giacomini & Giuseppe Ragusa, 2013. "Generalized method of moments with latent variables," CeMMAP working papers CWP50/13, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    19. Gary Koop & M. Hashem Pesaran & Ron P. Smith, 2013. "On Identification of Bayesian DSGE Models," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 31(3), pages 300-314, July.
    20. Xu Zhang, 2018. "Evaluating the Effects of Forward Guidance and Large-scale Asset Purchases," 2018 Meeting Papers 894, Society for Economic Dynamics.
    21. Vasco Curdia & Andrea Ferrero & Han Chen, 2012. "The Macroeconomic Effects of Large-Scale Asset Purchase Programs," 2012 Meeting Papers 372, Society for Economic Dynamics.
    22. Marco del Negro & Frank Schorfheide, 2008. "Inflation Dynamics in a Small Open Economy Model Under Inflation Targeting: Some Evidence From Chile," Working Papers Central Bank of Chile 486, Central Bank of Chile.
    23. Fabio Canova & Christian Matthes, 2021. "Dealing with misspecification in structural macroeconometric models," Quantitative Economics, Econometric Society, vol. 12(2), pages 313-350, May.
    24. Zheng Liu & Pengfei Wang & Tao Zha, 2009. "Do credit constraints amplify macroeconomic fluctuations?," Working Paper Series 2009-28, Federal Reserve Bank of San Francisco.
    25. Giesen, Sebastian & Holtemöller, Oliver & Scharff, Juliane & Scheufele, Rolf, 2010. "A First Look on the New Halle Economic Projection Model," IWH Discussion Papers 6/2010, Halle Institute for Economic Research (IWH).
    26. Jump, Robert Calvert & Levine, Paul, 2019. "Behavioural New Keynesian models," Journal of Macroeconomics, Elsevier, vol. 59(C), pages 59-77.
    27. Willi Mutschler, 2015. "Higher-order statistics for DSGE models," CQE Working Papers 4315, Center for Quantitative Economics (CQE), University of Muenster.
    28. Bazhenova Olena & Bazhenova Yuliya, 2016. "Modelling the Impact of External Shocks on Economy of Ukraine: Dsge Approach," Ekonomika (Economics), Sciendo, vol. 95(1), pages 64-83, January.
    29. Zheng Liu & Daniel F. Waggoner & Tao Zha, 2009. "Sources of the Great Moderation: shocks, friction, or monetary policy?," Working Paper Series 2009-01, Federal Reserve Bank of San Francisco.
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    174. Stefano Grassi & Marco Lorusso & Francesco Ravazzolo, 2025. "Adaptive Importance Sampling Estimation of an Open Economy Model with Fiscal Policy," BEMPS - Bozen Economics & Management Paper Series BEMPS111, Faculty of Economics and Management at the Free University of Bozen.
    175. Leonid Serkov & Sergey Krasnykh, 2022. "Analysis of the external shocks impact on the behavior of agents with limited expectations: The case of Russian economy," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 67, pages 97-120.
    176. Andrle, Michal & Plašil, Miroslav, 2018. "Econometrics with system priors," Economics Letters, Elsevier, vol. 172(C), pages 134-137.
    177. Xiaodan Gao & Jake Zhao, 2022. "R&D Dynamics and Corporate Cash Saving," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 43, pages 263-285, January.
    178. Kortelainen, Mika & Paloviita, Maritta & Viren, Matti, 2016. "How useful are measured expectations in estimation and simulation of a conventional small New Keynesian macro model?," Economic Modelling, Elsevier, vol. 52(PB), pages 540-550.
    179. Maryam Mirfatah & Vasco J. Gabriel & Paul Levine, 2021. "Imperfect Exchange Rate Pass-through: Empirical Evidence and Monetary Policy Implications," School of Economics Discussion Papers 0321, School of Economics, University of Surrey.
    180. Michal Andrle & Mr. Jaromir Benes, 2013. "System Priors: Formulating Priors about DSGE Models' Properties," IMF Working Papers 2013/257, International Monetary Fund.
    181. Dorofeenko Victor & Lee Gabriel & Salyer Kevin & Strobel Johannes, 2020. "Risk shocks with time-varying higher moments," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 24(2), pages 1-20, April.
    182. Luisa Corrado & Stefano Grassi & Aldo Paolillo, 2021. "Identifying Economic Shocks in a Rare Disaster Environment," CEIS Research Paper 517, Tor Vergata University, CEIS, revised 18 Jul 2024.
    183. Marco Lorusso & Francesco Ravazzolo & Claudia Udroiu, 2024. "Fiscal stimuli: Monetary versus Fiscal Financing," BEMPS - Bozen Economics & Management Paper Series BEMPS105, Faculty of Economics and Management at the Free University of Bozen.
    184. Stefano Grassi & Marco Lorusso & Francesco Ravazzolo, 2021. "Adaptive Importance Sampling for DSGE Models," BEMPS - Bozen Economics & Management Paper Series BEMPS84, Faculty of Economics and Management at the Free University of Bozen.
    185. Jinting Guo, 2025. "On the Identification of Diagnostic Expectations: Econometric Insights from DSGE Models," Papers 2509.08472, arXiv.org, revised Sep 2025.
    186. Tae Bong Kim, 2013. "Monetary Policy in Korea through the lense of Taylor Rule in DSGE model," 2013 Meeting Papers 746, Society for Economic Dynamics.
    187. H. E. Cha & Raymond Jay Lim, 2024. "Model‐based estimation in monetary policy inertia and it's another possibility," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 29(2), pages 2077-2094, April.
    188. Fabio Canova, 2010. "EconomicDynamics Interviews Fabio Canova on the Estimation of Business Cycle Models," EconomicDynamics Newsletter, Review of Economic Dynamics, vol. 11(2), April.
    189. Pelin Ilbas, 2008. "Estimation of monetary policy preferences in a forward-looking model : a Bayesian approach," Working Paper Research 129, National Bank of Belgium.
    190. Fan, Wenrui & Wang, Zanxin, 2022. "Whether to abandon or continue the petroleum product price regulation in China?," Energy Policy, Elsevier, vol. 165(C).

  48. Schorfheide, Frank & Moon, Hyungsik Roger, 2006. "Boosting Your Instruments: Estimation with Overidentifying Inequality Moment Conditions," CEPR Discussion Papers 5605, C.E.P.R. Discussion Papers.

    Cited by:

    1. Donald W.K. Andrews & Xiaoxia Shi, 2010. "Inference Based on Conditional Moment Inequalities," Cowles Foundation Discussion Papers 1761R2, Cowles Foundation for Research in Economics, Yale University, revised May 2012.
    2. Oliver Linton & Kyungchul Song & Yoon-Jae Whang, 2009. "An Improved Bootstrap Test of Stochastic Dominance," Cowles Foundation Discussion Papers 1713, Cowles Foundation for Research in Economics, Yale University.
    3. Lu, Zhentong, 2022. "Estimating multinomial choice models with unobserved choice sets," Journal of Econometrics, Elsevier, vol. 226(2), pages 368-398.
    4. Adam Rosen, 2006. "Confidence sets for partially identified parameters that satisfy a finite number of moment inequalities," CeMMAP working papers CWP25/06, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    5. Donald W.K. Andrews & Panle Jia, 2008. "Inference for Parameters Defined by Moment Inequalities: A Recommended Moment Selection Procedure," Cowles Foundation Discussion Papers 1676R, Cowles Foundation for Research in Economics, Yale University, revised Aug 2011.
    6. Andrew Chesher, 2010. "Instrumental Variable Models for Discrete Outcomes," Econometrica, Econometric Society, vol. 78(2), pages 575-601, March.
    7. Moon, Hyungsik Roger & Schorfheide, Frank, 2009. "Estimation with overidentifying inequality moment conditions," Journal of Econometrics, Elsevier, vol. 153(2), pages 136-154, December.

  49. Del Negro, Marco & Schorfheide, Frank, 2005. "Monetary policy analysis with potentially misspecified models," Working Paper Series 475, European Central Bank.

    Cited by:

    1. Patrick F ve & Jean-Guillaume Sahuc, 2016. "In Search of the Transmission Mechanism of Fiscal Policy in the Euro Area," Working papers 585, Banque de France.
    2. Matthias Mohr, 2005. "A Trend-Cycle(-Season) Filter," Econometrics 0508004, University Library of Munich, Germany.
    3. Francesca Monti, 2015. "Can a data-rich environment help identify the sources of model misspecification?," Discussion Papers 1505, Centre for Macroeconomics (CFM).
    4. Atsushi Inoue & Chun-Hung Kuo & Barbara Rossi, 2015. "Identifying the sources of model misspecification," Economics Working Papers 1479, Department of Economics and Business, Universitat Pompeu Fabra, revised Jun 2018.
    5. Martin Beraja, 2017. "Counterfactual Equivalence in Macroeconomics," 2017 Meeting Papers 1400, Society for Economic Dynamics.
    6. Gbaguidi DAVID, 2011. "Expectations Impact On The Effectiveness Of The Inflation-Real Activity Trade-Off," Theoretical and Practical Research in the Economic Fields, ASERS Publishing, vol. 2(2), pages 141-181.
    7. Meyer-Gohde, Alexander & Neuhoff, Daniel, 2018. "Generalized exogenous processes in DSGE: A Bayesian approach," IMFS Working Paper Series 125, Goethe University Frankfurt, Institute for Monetary and Financial Stability (IMFS).
    8. Schorfheide, Frank & Aruoba, Boragan & Mlikota, Marko & Villalvazo, Sergio, 2021. "SVARs With Occasionally-Binding Constraints," CEPR Discussion Papers 15923, C.E.P.R. Discussion Papers.
    9. Cole, Stephen J. & Milani, Fabio, 2019. "The Misspecification Of Expectations In New Keynesian Models: A Dsge-Var Approach," Macroeconomic Dynamics, Cambridge University Press, vol. 23(3), pages 974-1007, April.
    10. Hirokazu Mizobata & Hiroki Toyoda, 2016. "Business Cycles, Asset Prices, and the Frictions of Capital and Labor," KIER Working Papers 953, Kyoto University, Institute of Economic Research.
    11. Marco del Negro & Frank Schorfheide, 2008. "Inflation Dynamics in a Small Open Economy Model Under Inflation Targeting: Some Evidence From Chile," Working Papers Central Bank of Chile 486, Central Bank of Chile.
    12. Fabio Canova & Christian Matthes, 2021. "Dealing with misspecification in structural macroeconometric models," Quantitative Economics, Econometric Society, vol. 12(2), pages 313-350, May.
    13. Timothy Kam & Kirdan Lees & Philip Liu, 2009. "Uncovering the Hit List for Small Inflation Targeters: A Bayesian Structural Analysis," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 41(4), pages 583-618, June.
    14. Norman Swanson & Oleg Korenok, 2006. "The Incremental Predictive Information Associated with Using Theoretical New Keynesian DSGE Models Versus Simple Linear Alternatives," Departmental Working Papers 200615, Rutgers University, Department of Economics.
    15. Pham, Binh T. & Sala, Hector & Silva, José I., 2018. "Growth and real business cycles in Vietnam and the ASEAN-5. Does the trend shock matter?," MPRA Paper 90297, University Library of Munich, Germany.
    16. Vasco Curdia & Ricardo Reis, 2010. "Correlated disturbances and U.S. business cycles," Staff Reports 434, Federal Reserve Bank of New York.
    17. Andrea Carriero, 2006. "Explaining US–UK Interest Rate Differentials: A Reassessment of the Uncovered Interest Rate Parity in a Bayesian Framework," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 68(s1), pages 879-899, December.
    18. Zhongjun Qu & Fan Zhuo, 2015. "Likelihood Ratio Based Tests for Markov Regime Switching," Boston University - Department of Economics - Working Papers Series wp2015-003, Boston University - Department of Economics.
    19. Nalan Basturk & Cem Cakmakli & S. Pinar Ceyhan & Herman K. van Dijk, 2014. "On the Rise of Bayesian Econometrics after Cowles Foundation Monographs 10, 14," Tinbergen Institute Discussion Papers 14-085/III, Tinbergen Institute, revised 04 Sep 2014.
    20. Lyu, Juyi & Le, Vo Phuong Mai & Meenagh, David & Minford, Patrick, 2023. "UK monetary policy in an estimated DSGE model with financial frictions," Journal of International Money and Finance, Elsevier, vol. 130(C).
    21. Philip Liu, 2010. "The Effects of International Shocks on Australia's Business Cycle," The Economic Record, The Economic Society of Australia, vol. 86(275), pages 486-503, December.
    22. Thorsten Drautzburg, 2020. "A narrative approach to a fiscal DSGE model," Quantitative Economics, Econometric Society, vol. 11(2), pages 801-837, May.
    23. Canova, Fabio & Paustian, Matthias, 2011. "Business cycle measurement with some theory," CEPR Discussion Papers 8364, C.E.P.R. Discussion Papers.
    24. Oleg Korenok & Norman R. Swanson, 2007. "How Sticky Is Sticky Enough? A Distributional and Impulse Response Analysis of New Keynesian DSGE Models," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 39(6), pages 1481-1508, September.
    25. Norman Swanson & Oleg Korenok, 2006. "How Sticky Is Sticky Enough? A Distributional and Impulse Response Analysis of New Keynesian DSGE Models. Extended Working Paper Version," Departmental Working Papers 200612, Rutgers University, Department of Economics.
    26. Guido Ascari & Qazi Haque & Leandro Magnusson & Sophocles Mavroeidis, 2023. "Empirical evidence on the Euler equation for investment in the US," Working Papers 785, DNB.
    27. Wieland, Volker & Cwik, Tobias J. & Müller, Gernot J. & Schmidt, Sebastian & Wolters, Maik H., 2012. "A new comparative approach to macroeconomic modeling and policy analysis," CFS Working Paper Series 2012/03, Center for Financial Studies (CFS).
    28. Copaciu, Mihai & Nalban, Valeriu & Bulete, Cristian, 2015. "R.E.M. 2.0, An estimated DSGE model for Romania," Dynare Working Papers 48, CEPREMAP.
    29. Batini, Nicoletta & Justiniano, Alejandro & Levine, Paul & Pearlman, Joseph, 2006. "Robust inflation-forecast-based rules to shield against indeterminacy," Journal of Economic Dynamics and Control, Elsevier, vol. 30(9-10), pages 1491-1526.
    30. Warne, Anders & Coenen, Günter & Christoffel, Kai, 2010. "Forecasting with DSGE models," Working Paper Series 1185, European Central Bank.
    31. Hatcher, Michael & Minford, Patrick, 2023. "Chameleon models in economics: A note," Cardiff Economics Working Papers E2023/10, Cardiff University, Cardiff Business School, Economics Section.
    32. Claire A. Reicher, 2016. "A Note on the Identification of Dynamic Economic Models with Generalized Shock Processes," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 78(3), pages 412-423, June.
    33. Fanelli, Luca, 2008. "Evaluating New Keynesian Phillips Curve under VAR-Based Learning," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 2, pages 1-24.
    34. Zidong An & Salem Abo‐Zaid & Xuguang Simon Sheng, 2023. "Inattention and the impact of monetary policy," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 38(4), pages 623-643, June.
    35. Camilo E Tovar, 2008. "DSGE models and central banks," BIS Working Papers 258, Bank for International Settlements.
    36. Iiboshi, Hirokuni, 2016. "A multiple DSGE-VAR approach: Priors from a combination of DSGE models and evidence from Japan," Japan and the World Economy, Elsevier, vol. 40(C), pages 1-8.
    37. Roberta Cardani & Alessia Paccagnini & Stefania Villa, 2015. "Forecasting with Instabilities: an Application to DSGE Models with Financial Frictions," Working Papers 201523, School of Economics, University College Dublin.
    38. Stelios D. Bekiros & Roberta Cardani & Alessia Paccagnini & Stefania Villa, 2016. "Dealing with Financial Instability under a DSGE modeling approach with Banking Intermediation: a predictability analysis versus TVP-VARs," Open Access publications 10197/7323, School of Economics, University College Dublin.
    39. Alexander Kriwoluzky & Christian A. Stoltenberg, 2009. "Nested models and model uncertainty," Economics Working Papers ECO2009/37, European University Institute.
    40. Reicher, Christopher Phillip, 2013. "A note on the identification of dynamic economic models with generalized shock processes," Kiel Working Papers 1821, Kiel Institute for the World Economy (IfW Kiel).
    41. Meyer-Gohde, Alexander & Neuhoff, Daniel, 2015. "Solving and estimating linearized DSGE models with VARMA shock processes and filtered data," Economics Letters, Elsevier, vol. 133(C), pages 89-91.
    42. Jean-Jacques Forneron & Zhongjun Qu, 2024. "Fitting Dynamically Misspecified Models: An Optimal Transportation Approach," Papers 2412.20204, arXiv.org, revised Jul 2025.
    43. Luca Fanelli, 2009. "Estimation of quasi-rational DSGE monetary models," Quaderni di Dipartimento 3, Department of Statistics, University of Bologna.
    44. Waggoner, Daniel F. & Zha, Tao, 2012. "Confronting model misspecification in macroeconomics," Journal of Econometrics, Elsevier, vol. 171(2), pages 167-184.
    45. Canova, Fabio, 2008. "How much structure in empirical models?," CEPR Discussion Papers 6791, C.E.P.R. Discussion Papers.
    46. Oleg Korenok & Stanislav Radchenko & Norman R. Swanson, 2006. "International Evidence on the Efficacy of new-Keynesian Models of Inflation Persistence," Working Papers 0602, VCU School of Business, Department of Economics.
    47. Jarkko P. Jääskelä & Kristoffer Nimark, 2011. "A Medium‐Scale New Keynesian Open Economy Model of Australia," The Economic Record, The Economic Society of Australia, vol. 87(276), pages 11-36, March.
    48. Linde, Jesper & LASEEN, PER & Ratto, Marco, 2019. "Identification Versus Misspecification in New Keynesian Monetary Policy Models," CEPR Discussion Papers 13492, C.E.P.R. Discussion Papers.
    49. Marco Del Negro & Frank Schorfheide, 2004. "Policy predictions if the model doesn’t fit," FRB Atlanta Working Paper 2004-38, Federal Reserve Bank of Atlanta.
    50. Thorvardur Tjörvi Ólafsson, 2006. "The New Keynesian Phillips Curve: In Search of Improvements and Adaptation to the Open Economy," Economics wp31_tjorvi, Department of Economics, Central bank of Iceland.
    51. Lars Peter Hansen & Thomas J. Sargent, 2024. "Risk, ambiguity, and misspecification: Decision theory, robust control, and statistics," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 39(6), pages 969-999, September.
    52. Andrea Carriero, 2011. "Forecasting The Yield Curve Using Priors From No‐Arbitrage Affine Term Structure Models," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 52(2), pages 425-459, May.
    53. Dario Caldara & Richard Harrison & Anna Lipińska, 2014. "Practical Tools For Policy Analysis In Dsge Models With Missing Shocks," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 29(7), pages 1145-1163, November.
    54. David Gbaguidi, 2012. "La courbe de Phillips : temps d’arbitrage et/ou arbitrage de temps," L'Actualité Economique, Société Canadienne de Science Economique, vol. 88(1), pages 87-119.
    55. Roberto Motto & Massimo Rostagno & Lawrence J. Christiano, 2010. "Financial Factors in Economic Fluctuations," 2010 Meeting Papers 141, Society for Economic Dynamics.
    56. Atsushi Inoue & Mototsugu Shintani, 2018. "Quasi‐Bayesian model selection," Quantitative Economics, Econometric Society, vol. 9(3), pages 1265-1297, November.
    57. Alexander Falter & Dennis Wesselbaum, 2018. "Correlated shocks in estimated DSGE models," Economics Bulletin, AccessEcon, vol. 38(4), pages 2026-2036.
    58. Paccagnini, Alessia, 2017. "Dealing with Misspecification in DSGE Models: A Survey," MPRA Paper 82914, University Library of Munich, Germany.
    59. Rubio-Ramírez, Juan Francisco & Schorfheide, Frank & Fernández-Villaverde, Jesús, 2015. "Solution and Estimation Methods for DSGE Models," CEPR Discussion Papers 11032, C.E.P.R. Discussion Papers.
    60. Bekiros Stelios & Paccagnini Alessia, 2015. "Estimating point and density forecasts for the US economy with a factor-augmented vector autoregressive DSGE model," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 19(2), pages 107-136, April.
    61. Niraj Poudyal & Aris Spanos, 2022. "Model Validation and DSGE Modeling," Econometrics, MDPI, vol. 10(2), pages 1-25, April.
    62. Pablo A. Guerron-Quintana, 2010. "What you match does matter: the effects of data on DSGE estimation," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 25(5), pages 774-804.
    63. Giovanni Nicolo, 2020. "Monetary Policy, Self-Fulfilling Expectations and the U.S. Business Cycle," Finance and Economics Discussion Series 2020-035, Board of Governors of the Federal Reserve System (U.S.).
    64. Eberly, Janice & Rebelo, Sergio & Vincent, Nicolas, 2012. "What explains the lagged-investment effect?," Journal of Monetary Economics, Elsevier, vol. 59(4), pages 370-380.
    65. Del Negro, Marco & Eusepi, Stefano, 2011. "Fitting observed inflation expectations," Journal of Economic Dynamics and Control, Elsevier, vol. 35(12), pages 2105-2131.
    66. Kolasa, Marcin & Rubaszek, Michał & Skrzypczyński, Paweł, 2009. "Putting the New Keynesian DSGE model to the real-time forecasting test," Working Paper Series 1110, European Central Bank.
    67. Frank Schorfheide & Francis X. Diebold & Marco Del Negro, 2008. "Priors from Frequency-Domain Dummy Observations," 2008 Meeting Papers 310, Society for Economic Dynamics.
    68. Dario Caldara & Richard Harrison & Anna Lipinska, 2012. "Practical tools for policy analysis in DSGE models with missing channels," Finance and Economics Discussion Series 2012-72, Board of Governors of the Federal Reserve System (U.S.).
    69. Stefano Grassi & Miguel Leon-Ledesma & Filippo Ferroni, 2016. "Fundamental shock selection in DSGE models," 2016 Meeting Papers 47, Society for Economic Dynamics.
    70. Paola Mariell Brens Ortega, 2020. "An Econometric Analysis of a Calibrated Macroeconomic Model for the Dominican Republic: A Closer Look into Monetary Policy," Documentos de Trabajo 18253, The Latin American and Caribbean Economic Association (LACEA).
    71. Lance Kent, 2015. "Relaxing Rational Expectations," Working Papers 159, Economics Department, William & Mary.
    72. Hall, Jamie & Pitt, Michael K. & Kohn, Robert, 2014. "Bayesian inference for nonlinear structural time series models," Journal of Econometrics, Elsevier, vol. 179(2), pages 99-111.
    73. Schorfheide, Frank & Moon, Hyungsik Roger, 2006. "Boosting Your Instruments: Estimation with Overidentifying Inequality Moment Conditions," CEPR Discussion Papers 5605, C.E.P.R. Discussion Papers.
    74. Zoundi, Zakaria, 2024. "Wells or Welfare? Macroeconomic implications of the Canadian oil subsidy," Economic Modelling, Elsevier, vol. 139(C).
    75. Filippo Ferroni & Stefano Grassi & Miguel A. León-Ledesma, 2017. "Selecting Primal Innovations in DSGE models," Working Paper Series WP-2017-20, Federal Reserve Bank of Chicago.
    76. Gbaguidi, David Sedo, 2011. "Regime Switching in a New Keynesian Phillips Curve with Non-zero Steady-state Inflation Rate," MPRA Paper 35481, University Library of Munich, Germany.
    77. Reicher, Christopher Phillip, 2013. "Evaluating misspecification in DSGE models using tests for overidentifying restrictions," VfS Annual Conference 2013 (Duesseldorf): Competition Policy and Regulation in a Global Economic Order 79955, Verein für Socialpolitik / German Economic Association.
    78. Endong Wang, 2024. "Structural counterfactual analysis in macroeconomics: theory and inference," Papers 2409.09577, arXiv.org.
    79. Giovanni Angelini & Luca Fanelli & Marco M. Sorge, 2025. "Is Time an Illusion? A Bootstrap Likelihood Ratio Test for Shock Transmission Delays in DSGE Models," Computational Economics, Springer;Society for Computational Economics, vol. 65(5), pages 2477-2503, May.
    80. Roberta Cardani & Alessia Paccagnini & Stefania Villa, 2015. "Forecasting in a DSGE Model with Banking Intermediation: Evidence from the US," Working Papers 292, University of Milano-Bicocca, Department of Economics, revised Feb 2015.
    81. Cover, James P. & Mallick, Sushanta K., 2012. "Identifying sources of macroeconomic and exchange rate fluctuations in the UK," Journal of International Money and Finance, Elsevier, vol. 31(6), pages 1627-1648.
    82. Yi-Hua Wu & Chih-Chin Ho & Eric S. Lin, 2017. "Measuring the Impact of Military Spending: How Far Does a DSGE Model Deviate from Reality?," Defence and Peace Economics, Taylor & Francis Journals, vol. 28(5), pages 585-608, September.
    83. Michael Dotsey, 2013. "DSGE models and their use in monetary policy," Business Review, Federal Reserve Bank of Philadelphia, issue Q2, pages 10-16.
    84. Oleg Korenok & Norman R. Swanson, 2005. "The Incremental Predictive Information Associated with Using Theoretical New Keynesian DSGE Models vs. Simple Linear Econometric Models," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 67(s1), pages 905-930, December.

  50. Chang, Yongsung & Schorfheide, Frank & Doh, Taeyoung, 2005. "Non-stationary Hours in a DSGE Model," CEPR Discussion Papers 5232, C.E.P.R. Discussion Papers.

    Cited by:

    1. Ivashchenko, S., 2020. "Long-term growth sources for sectors of Russian economy," Journal of the New Economic Association, New Economic Association, vol. 48(4), pages 86-112.
    2. Massimo Franchi & Paolo Paruolo, 2015. "Minimality of State Space Solutions of DSGE Models and Existence Conditions for Their VAR Representation," Computational Economics, Springer;Society for Computational Economics, vol. 46(4), pages 613-626, December.
    3. S. Boragan Aruoba & Luigi Bocola & Frank Schorfheide, 2013. "Assessing DSGE model nonlinearities," Working Papers 13-47, Federal Reserve Bank of Philadelphia.
    4. Fève, Patrick & Matheron, Julien & Sahuc, Jean-Guillaume, 2009. "Une estimation de la cible implicite d’inflation dans la zone euro," TSE Working Papers 09-137, Toulouse School of Economics (TSE).
    5. Votinov, A., 2022. "The effects of additional non-stationary processes on the properties of DSGE-models," Journal of the New Economic Association, New Economic Association, vol. 55(3), pages 28-43.
    6. Stefania Albanesi, 2019. "Changing Business Cycles: The Role of Women's Employment," Working Paper 6608, Department of Economics, University of Pittsburgh.
    7. Patrick Fève & Olivier Pierrard, 2017. "Financial Regulation and Shadow Banking: A Small-Scale DSGE Perspective," BCL working papers 111, Central Bank of Luxembourg.
    8. Patrick Feve & Julien Matheron & Guillaume Sahuc, 2010. "Désinflation et chômage dans la zone euro : une analyse à l'aide d'un modèle var structurel," Annals of Economics and Statistics, GENES, issue 99-100, pages 365-394.
    9. Canova, Fabio & Menz, Tobias, 2009. "Japan's Lost Decade: Does Money have a Role?," CEPR Discussion Papers 7608, C.E.P.R. Discussion Papers.
    10. Martial Dupaigne & Patrick Feve & Julien Matheron, 2007. "Technology Shocks, Non-stationary Hours and DSVAR," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 10(2), pages 238-255, April.
    11. Kanjamapornkul, K. & Pinčák, Richard & Bartoš, Erik, 2016. "The study of Thai stock market across the 2008 financial crisis," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 462(C), pages 117-133.
    12. Neri, Stefano & Gerali, Andrea, 2019. "Natural rates across the Atlantic," Journal of Macroeconomics, Elsevier, vol. 62(C).
    13. Franchi, Massimo, 2018. "Testing for cointegration in I(1) state space systems via a finite order approximation," Economics Letters, Elsevier, vol. 165(C), pages 73-76.
    14. Turino Francesco, 2010. "Non-Price Competition, Real Rigidities and Inflation Dynamics," The B.E. Journal of Macroeconomics, De Gruyter, vol. 10(1), pages 1-61, July.
    15. Federico S Mandelman & Francesco Zanetti, 2010. "Technology shocks, employment and labour market frictions," Bank of England working papers 390, Bank of England.
    16. Wolters, Maik Hendrik, 2018. "How the baby boomers' retirement wave distorts model-based output gap estimates," IMFS Working Paper Series 121, Goethe University Frankfurt, Institute for Monetary and Financial Stability (IMFS).
    17. Fabio Canova & Filippo Ferroni, "undated". "The Dynamics of US Inflation: Can Monetary Policy Explain the Changes?," Working Papers 471, Barcelona School of Economics.
    18. Benedetto Molinari & Francesco Turino, 2018. "Advertising and Aggregate Consumption: A Bayesian DSGE Assessment," Economic Journal, Royal Economic Society, vol. 128(613), pages 2106-2130, August.
    19. Canova, Fabio & Menz, Tobias, 2010. "Does money matter in shaping domestic business cycles? An international investigation," CEPR Discussion Papers 8107, C.E.P.R. Discussion Papers.
    20. Taeyoung Doh, 2007. "What does the yield curve tell us about the Federal Reserve's implicit inflation target?," Research Working Paper RWP 07-10, Federal Reserve Bank of Kansas City.
    21. Varang Wiriyawit, 2014. "Trend Mis-specifications and Estimated Policy Implications in DSGE Models," ANU Working Papers in Economics and Econometrics 2014-615, Australian National University, College of Business and Economics, School of Economics.
    22. Peter Ireland & Scott Schuh, 2008. "Productivity and U.S. Macroeconomic Performance: Interpreting the Past and Predicting the Future with a Two-Sector Real Business Cycle Model," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 11(3), pages 473-492, July.
    23. Patrick F?ve & Julien Matheron & Jean-Guillaume Sahuc, 2013. "A Pitfall with Estimated DSGE-Based Government Spending Multipliers," American Economic Journal: Macroeconomics, American Economic Association, vol. 5(4), pages 141-178, October.
    24. Shu-Chun S. Yang & Nora Traum, 2011. "When Does Government Debt Crowd Out Investment?," 2011 Meeting Papers 479, Society for Economic Dynamics.
    25. Amélie Charles & Olivier Darné & Fabien Tripier, 2011. "Are Unit Root Tests Useful in the Debate over the (Non) Stationarity of Hours Worked?," Post-Print hal-00797521, HAL.
    26. Michal Andrle & Tibor Hledik & Ondra Kamenik & Jan Vlcek, 2009. "Implementing the New Structural Model of the Czech National Bank," Working Papers 2009/2, Czech National Bank, Research and Statistics Department.
    27. Cristiano Cantore & Filippo Ferroni & Miguel A. León-Ledesma, 2012. "The dynamics of hours worked and technology," Working Papers 1238, Banco de España.
    28. Fève, Patrick & Matheron, Julien & Sahuc, Jean-Guillaume, 2012. "A Pitfall with DSGE-Based, Estimated, Government Spending Multipliers," IDEI Working Papers 708, Institut d'Économie Industrielle (IDEI), Toulouse.
    29. Federico S. Mandelman & Francesco Zanetti, 2008. "Estimating general equilibrium models: an application with labour market frictions," Technical Books, Centre for Central Banking Studies, Bank of England, edition 1, number 1, April.
    30. Hideaki Hirata, 2014. "Preference Shocks, International Frictions, and International Business Cycles," Working Paper 164446, Harvard University OpenScholar.
    31. Chaudourne, Jeremy & Fève, Patrick & Guay, Alain, 2014. "Understanding the effect of technology shocks in SVARs with long-run restrictions," Journal of Economic Dynamics and Control, Elsevier, vol. 41(C), pages 154-172.
    32. Peter N. Ireland, 2013. "Stochastic Growth In The United States And Euro Area," Journal of the European Economic Association, European Economic Association, vol. 11(1), pages 1-24, February.
    33. Zarazúa Juárez, Carlos Alberto, 2023. "Understanding the natural rate of interest for a small open economy," Latin American Journal of Central Banking (previously Monetaria), Elsevier, vol. 4(3).
    34. Sean Holly & Ivan Petrella, 2008. "Factor demand linkages and the business cycle: interpreting aggregate fluctuations as sectoral fluctuations," CDMA Conference Paper Series 0809, Centre for Dynamic Macroeconomic Analysis.
    35. Alessandro Cantelmo & Nikos Fatouros & Giovanni Melina & Chris Papageorgiou, 2024. "Monetary Policy Under Natural Disaster Shocks," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 65(3), pages 1441-1497, August.
    36. Wieland, Volker & Wolters, Maik Hendrik, 2012. "Forecasting and policy making," IMFS Working Paper Series 62, Goethe University Frankfurt, Institute for Monetary and Financial Stability (IMFS).
    37. Taeyoung Doh, 2009. "Yield curve in an estimated nonlinear macro model," Research Working Paper RWP 09-04, Federal Reserve Bank of Kansas City.
    38. Charalampidis, Nikolaos, 2020. "On unemployment cycles in the Euro Area, 1999–2018," European Economic Review, Elsevier, vol. 121(C).
    39. Alban Moura & Olivier Pierrard, 2022. "How well do DSGE models with real estate and collateral constraints fit the data?," BCL working papers 168, Central Bank of Luxembourg.
    40. Haykaz Igityan, 2019. "Asymmetric Effects of Monetary Policy in Different Phases of Armenia's Business Cycle," Working Papers 11, Central Bank of Armenia.
    41. Fuentes-Albero, Cristina, 2007. "Technology Shocks, Statistical Models, and The Great Moderation," MPRA Paper 3589, University Library of Munich, Germany.
    42. Joao Madeira, 2013. "Assessing the empirical relevance of Walrasian labor frictions to business cycle fluctuations," Discussion Papers 1304, University of Exeter, Department of Economics.
    43. Fabio Canova & Filippo Ferroni, 2010. "The dynamics of US inflation: Can monetary policy explain the changes?," Economics Working Papers 1241, Department of Economics and Business, Universitat Pompeu Fabra.
    44. Cristiano Cantore & Filippo Ferroni & Miguel A León-Ledesma, 2012. "Interpreting the Hours-Technology time-varying relationship," Studies in Economics 1201, School of Economics, University of Kent.
    45. Takuji Fueki & Ichiro Fukunaga & Hibiki Ichiue & Toyoichiro Shirota, 2010. "Measuring Potential Growth with an Estimated DSGE Model of Japan's Economy," Bank of Japan Working Paper Series 10-E-13, Bank of Japan.
    46. Fabio Canova & Tobias Menz, 2009. "Does money matter in shaping domestic business cycles? An international investigation (with appendices)," Economics Working Papers 1242, Department of Economics and Business, Universitat Pompeu Fabra, revised Nov 2010.
    47. Lombardi, Marco J. & Sgherri, Silvia, 2007. "(Un)naturally low? Sequential Monte Carlo tracking of the US natural interest rate," Working Paper Series 794, European Central Bank.
    48. Fève, Patrick & Guay, Alain, 2009. "Identification of Technology Shocks in Structural VARs," TSE Working Papers 09-028, Toulouse School of Economics (TSE).
    49. Nora Traum & Shu-Chun Susan Yang, 2010. "Does Government Debt Crowd Out Investment? A Bayesian DSGE Approach: Working Paper 2010-02," Working Papers 21397, Congressional Budget Office.
    50. Peter N. Ireland, 2009. "On the Welfare Cost of Inflation and the Recent Behavior of Money Demand," American Economic Review, American Economic Association, vol. 99(3), pages 1040-1052, June.
    51. Haroon Mumtaz & Francesco Zanetti, 2012. "Factor adjustment costs: a structural investigation," Bank of England working papers 467, Bank of England.
    52. Rubio-Ramírez, Juan Francisco & Schorfheide, Frank & Fernández-Villaverde, Jesús, 2015. "Solution and Estimation Methods for DSGE Models," CEPR Discussion Papers 11032, C.E.P.R. Discussion Papers.
    53. Haykaz Igityan & Hovhannes Manukyan, 2020. "Fitting Armenian Data to the Simple DSGE Model with Permanent Productivity Growth," Working Papers 14, Central Bank of Armenia.
    54. Canova, Fabio, 2014. "Bridging DSGE models and the raw data," Journal of Monetary Economics, Elsevier, vol. 67(C), pages 1-15.
    55. Zanetti, Francesco, 2008. "Labor and investment frictions in a real business cycle model," Journal of Economic Dynamics and Control, Elsevier, vol. 32(10), pages 3294-3314, October.
    56. Gianluca Moretti & Giulio Nicoletti, 2010. "Estimating DSGE models with unknown data persistence," Temi di discussione (Economic working papers) 750, Bank of Italy, Economic Research and International Relations Area.
    57. Amin, Sakib & Jamasb, Tooraj & Llorca, Manuel & Marsiliani, Laura & Renström, Thomas I. & Sarkar, Agnirup, 2021. "Captive power, market access and macroeconomic performance: Reforming the Bangladesh electricity sector," Energy Economics, Elsevier, vol. 102(C).
    58. Luigi Bocola & Nils M. Gornemann, 2013. "Risk, economic growth and the value of U.S. corporations," Working Papers 13-10, Federal Reserve Bank of Philadelphia.
    59. Leonardo Melosi, 2009. "A Likelihood Analysis of Models with Information Frictions," 2009 Meeting Papers 1034, Society for Economic Dynamics.
    60. Rots, Eyno, 2017. "Imperfect information and the house price in a general-equilibrium model," Journal of Economic Dynamics and Control, Elsevier, vol. 83(C), pages 215-231.
    61. Fabio Canova & Filippo Ferroni, 2011. "Multiple filtering devices for the estimation of cyclical DSGE models," Quantitative Economics, Econometric Society, vol. 2(1), pages 73-98, March.
    62. Milan Vyskrabka & Stanislav Tvrz & Martin Zeleznik, 2019. "PreMISE: DSGE Model of the Slovak Economy Integrated in a Monetary Union," Working and Discussion Papers WP 8/2019, Research Department, National Bank of Slovakia.
    63. Kim, Bae-Geun, 2010. "Identifying a permanent markup shock and its implications for macroeconomic dynamics," Journal of Economic Dynamics and Control, Elsevier, vol. 34(8), pages 1471-1491, August.
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    66. Jean-Philippe Cayen & Marc-André Gosselin & Sharon Kozicki, 2009. "Estimating DSGE-Model-Consistent Trends for Use in Forecasting," Staff Working Papers 09-35, Bank of Canada.
    67. Patrick F ve & Julien Matheron & Jean-Guillaume Sahuc, 2009. "D sinflation et ch mage dans la zone euro : une analyse l'aide d'un mod le VAR structurel," Working papers 247, Banque de France.
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  51. Smets, Frank & Del Negro, Marco & Wouters, Rafael & Schorfheide, Frank, 2005. "On the Fit and Forecasting Performance of New Keynesian Models," CEPR Discussion Papers 4848, C.E.P.R. Discussion Papers.

    Cited by:

    1. Haider, Adnan & Khan, Safdar Ullah, 2008. "A Small Open Economy DSGE Model for Pakistan," MPRA Paper 12977, University Library of Munich, Germany, revised 17 Jan 2009.
    2. Eilev S. Jansen, 2004. "Modelling inflation in the Euro Area," Working Paper 2004/10, Norges Bank.
    3. Valentina Michelangeli & Fabio Massimo Piersanti, 2025. "Business loan characteristics and inflation shocks transmission in the euro area," Temi di discussione (Economic working papers) 1477, Bank of Italy, Economic Research and International Relations Area.
    4. Zheng Liu & Daniel F. Waggoner & Tao Zha, 2007. "Asymmetric expectation effects of regime shifts and the Great Moderation," Working Papers 653, Federal Reserve Bank of Minneapolis.
    5. Del Negro, Marco & Schorfheide, Frank, 2005. "Monetary policy analysis with potentially misspecified models," Working Paper Series 475, European Central Bank.
    6. Daniel Buncic & Martin Melecky, 2008. "An Estimated New Keynesian Policy Model for Australia," The Economic Record, The Economic Society of Australia, vol. 84(264), pages 1-16, March.
    7. Anne Epaulard & Jean-Pierre Laffargue & Pierre Malgrange, 2008. "La nouvelle modélisation macroéconomique appliquée à l'analyse de la conjoncture et à l'évaluation des politiques : les modèles dynamiques stochastiques d'équilibre général (DSGE)," Post-Print halshs-00270900, HAL.
    8. Yongsung Chang & Taeyoung Doh & Frank Schorfheide, 2007. "Non‐stationary Hours in a DSGE Model," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 39(6), pages 1357-1373, September.
    9. Alejandro Justiniano & Giorgio E. Primiceri & Andrea Tambalotti, 2008. "Investment shocks and business cycles," Staff Reports 322, Federal Reserve Bank of New York.
    10. Dimitrios P Tsomocos & Gunnar Bardsen & Department of Economics & NTNUKjersti-Gro Lindquist & Norges Bank, 2006. "Evaluation of macroeconomic models for financial stability analysis," Economics Series Working Papers 2006-FE-01, University of Oxford, Department of Economics.
    11. Angela Abbate & Dominik Thaler, 2015. "Monetary policy effects on bank risk taking," Working Paper Research 287, National Bank of Belgium.
    12. Ferroni, Filippo, 2009. "Trend agnostic one step estimation of DSGE models," MPRA Paper 14550, University Library of Munich, Germany.
    13. Ali Dib & Mohamed Gammoudi & Kevin Moran, 2005. "Forecasting Canadian Time Series with the New-Keynesian Model," Cahiers de recherche 0527, CIRPEE.
    14. Michal Rubaszek & Pawel Skrzypczynski, 2007. "Can a simple DSGE model outperform Professional Forecasters?," NBP Working Papers 43, Narodowy Bank Polski.
    15. Beck, Günter Wilfried & Kotz, Hans-Helmut & Zabelina, Natalia, 2016. "Lost in translation? ECB's monetary impulses and financial intermediaries' responses," SAFE White Paper Series 36, Leibniz Institute for Financial Research SAFE.
    16. Guerron-Quintana, Pablo A., 2008. "Refinements on macroeconomic modeling: The role of non-separability and heterogeneous labor supply," Journal of Economic Dynamics and Control, Elsevier, vol. 32(11), pages 3613-3630, November.
    17. Mayer, Eric & Hülsewig, Oliver & Henzel, Steffen & Wollmershäuser, Timo, 2006. "The Price Puzzle Revisited: Can the Cost Channel explain a Rise in Inflation after a Monetary Shock?," W.E.P. - Würzburg Economic Papers 74, University of Würzburg, Department of Economics.
    18. Anna Kormilitsina & Sarah Zubairy, 2016. "Propagation Mechanisms for Government Spending Shocks: A Bayesian Comparison," Departmental Working Papers 1608, Southern Methodist University, Department of Economics.
    19. Laura Bisio & Andrea Faccini, 2010. "Does Cointegration Matter? An Analysis in a RBC Perspective," Working Papers in Public Economics 133, Department of Economics and Law, Sapienza University of Roma.
    20. Kai Christoffel & Keith Kuester & Tobias Linzert, 2006. "Identifying the Role of Labor Markets for Monetary Policy in an Estimated DSGE Model," 2006 Meeting Papers 544, Society for Economic Dynamics.
    21. Zheng Liu & Daniel F. Waggoner & Tao Zha, 2009. "Sources of the Great Moderation: shocks, friction, or monetary policy?," Working Paper Series 2009-01, Federal Reserve Bank of San Francisco.
    22. Tambalotti, Andrea & Primiceri, Giorgio & Justiniano, Alejandro, 2009. "Investment Shocks and the Relative Price of Investment," CEPR Discussion Papers 7598, C.E.P.R. Discussion Papers.
    23. Eric Jondeau & Jean-Guillaume Sahuc, 2008. "Optimal Monetary Policy in an Estimated DSGE Model of the Euro Area with Cross-country Heterogeneity," Post-Print hal-01612712, HAL.
    24. Stephanie Schmitt-Grohé & Martín Uribe, 2006. "Optimal Inflation Stabilization in a Medium-Scale Macroeconomic Model," Working Papers Central Bank of Chile 410, Central Bank of Chile.
    25. Tom Holden, 2010. "Products, patents and productivity persistence: A DSGE model of endogenous growth," Economics Series Working Papers 512, University of Oxford, Department of Economics.
    26. Martin Møller Andreasen, 2008. "Ensuring the Validity of the Micro Foundation in DSGE Models," CREATES Research Papers 2008-26, Department of Economics and Business Economics, Aarhus University.
    27. Ramón María-Dolores & Jesús Vázquez, 2008. "Term structure and the estimated monetary policy rule in the Eurozone," Spanish Economic Review, Springer;Spanish Economic Association, vol. 10(4), pages 251-277, December.
    28. Geweke, John F. & Horowitz, Joel L. & Pesaran, M. Hashem, 2006. "Econometrics: A Bird's Eye View," IZA Discussion Papers 2458, Institute of Labor Economics (IZA).
    29. Ida Wolden Bache, 2006. "Assessing the structural VAR approach to exchange rate pass-through," Computing in Economics and Finance 2006 309, Society for Computational Economics.
    30. Wollmershäuser, Timo & Mayer, Eric & Hülsewig, Oliver, 2006. "Bank Behavior and the Cost Channel of Monetary Transmission," W.E.P. - Würzburg Economic Papers 71, University of Würzburg, Department of Economics.
    31. Strid, Ingvar, 2010. "Efficient parallelisation of Metropolis-Hastings algorithms using a prefetching approach," Computational Statistics & Data Analysis, Elsevier, vol. 54(11), pages 2814-2835, November.
    32. Javier Andrés & Fernando Restoy, 2007. "Macroeconomic modelling in EMU: how relevant is the change in regime?," Working Papers 0718, Banco de España.
    33. Reicher, Christopher Phillip, 2009. "What can a New Keynesian labor matching model match?," Kiel Working Papers 1496, Kiel Institute for the World Economy (IfW Kiel).
    34. Taeyoung Doh, 2007. "What does the yield curve tell us about the Federal Reserve's implicit inflation target?," Research Working Paper RWP 07-10, Federal Reserve Bank of Kansas City.
    35. Céline Poilly, 2007. "Does Money Matter for the Identification of Monetary Policy Shocks: A DSGE Perspective," Working papers 184, Banque de France.
    36. Boivin, J. & Giannoni, M., 2007. "DSGE Models in a Data-Rich Environment," Working papers 162, Banque de France.
    37. Noha Emara, 2012. "The Welfare Effects of Inflation Volatility and Institutions," Global Journal of Emerging Market Economies, Emerging Markets Forum, vol. 4(1), pages 5-27, January.
    38. Melecky, Martin & Rodrıguez Palenzuela, Diego & Soderstrom, Ulf, 2008. "Inflation Target Transparency and the Macroeconomy," MPRA Paper 10545, University Library of Munich, Germany.
    39. Varang Wiriyawit, 2014. "Trend Mis-specifications and Estimated Policy Implications in DSGE Models," ANU Working Papers in Economics and Econometrics 2014-615, Australian National University, College of Business and Economics, School of Economics.
    40. Riccardo Cristadoro & Andrea Gerali & Stefano Neri & Massimiliano Pisani, 2006. "Nominal Rigidities in an Estimated Two Country," Computing in Economics and Finance 2006 162, Society for Computational Economics.
    41. Francesco Giuli & Massimiliano Tancioni, 2009. "Firm-Specific Capital, Productivity Shocks and Investment Dynamics," Working Papers in Public Economics 120, Department of Economics and Law, Sapienza University of Roma.
    42. Stähler, Nikolai & Thomas, Carlos, 2012. "FiMod — A DSGE model for fiscal policy simulations," Economic Modelling, Elsevier, vol. 29(2), pages 239-261.
    43. Andrew T. Levin & Alexei Onatski & John Williams & Noah M. Williams, 2006. "Monetary Policy under Uncertainty in Micro-Founded Macroeconometric Models," NBER Chapters, in: NBER Macroeconomics Annual 2005, Volume 20, pages 229-312, National Bureau of Economic Research, Inc.
    44. Hall, Alastair R. & Inoue, Atsushi & Nason, James M. & Rossi, Barbara, 2012. "Information criteria for impulse response function matching estimation of DSGE models," Journal of Econometrics, Elsevier, vol. 170(2), pages 499-518.
    45. Carmine Trecroci & Matilde Vassalli, 2010. "Monetary Policy Regime Shifts: New Evidence From Time‐Varying Interest Rate Rules," Economic Inquiry, Western Economic Association International, vol. 48(4), pages 933-950, October.
    46. Ghent, Andra, 2006. "Comparing Models of Macroeconomic Fluctuations: How Big Are the Differences?," MPRA Paper 180, University Library of Munich, Germany.
    47. Stracca, Livio & Bussière, Matthieu, 2010. "A decade (and a global financial crisis) after Blinder: The interaction between researchers and policy-makers in central banks," Working Paper Series 1260, European Central Bank.
    48. Steffen Henzel & Oliver Hülsewig & Eric Mayer & Timo Wollmershäuser, 2007. "The Price Puzzle Revisited: Can the Cost Channel Explain a Rise in Inflation after a Monetary Policy Shock?," CESifo Working Paper Series 2039, CESifo.
    49. Mattias Villani & Malin Adolfson & Jesper Linde, 2005. "Forecasting Performance of an Open Economy Dynamic Stochastic General Equilibrium Model," Money Macro and Finance (MMF) Research Group Conference 2005 32, Money Macro and Finance Research Group.
    50. Sarah Zubairy, 2014. "On Fiscal Multipliers: Estimates From A Medium Scale Dsge Model," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 55(1), pages 169-195, February.
    51. Rabanal, Pau & Tuesta Reátegui, Vicente, 2006. "Euro-Dollar Real Exchange Rate Dynamics in an Estimated Two-Country Model: What is Important and What is Not," CEPR Discussion Papers 5957, C.E.P.R. Discussion Papers.
    52. Liu, G. & Gupta, R. & Schaling, E., 2008. "Forecasting the South African Economy : A DSGE-VAR Approach," Discussion Paper 2008-32, Tilburg University, Center for Economic Research.
    53. Francesco Giuli & Massimiliano Tancioni, 2012. "Prince-setting, monetary policy and the contractionary effects of productivity improvements," Departmental Working Papers of Economics - University 'Roma Tre' 0161, Department of Economics - University Roma Tre.
    54. Strid, Ingvar, 2008. "Metropolis-Hastings prefetching algorithms," SSE/EFI Working Paper Series in Economics and Finance 706, Stockholm School of Economics, revised 02 Dec 2009.
    55. Marco Del Negro & Frank Schorfheide, 2004. "Policy predictions if the model doesn’t fit," FRB Atlanta Working Paper 2004-38, Federal Reserve Bank of Atlanta.
    56. M. Hashem Pesaran & Ron P. Smith, 2006. "Macroeconometric Modelling with a Global Perspective," CESifo Working Paper Series 1659, CESifo.
    57. Pau Rabanal, 2006. "Euro-Dollar Real Exchange Rate Dynamics in an Estimated Two-Country Model," Computing in Economics and Finance 2006 87, Society for Computational Economics.
    58. Alejandro Justiniano & Giorgio E. Primiceri, 2008. "The Time-Varying Volatility of Macroeconomic Fluctuations," American Economic Review, American Economic Association, vol. 98(3), pages 604-641, June.
    59. Sungbae An & Frank Schorfheide, 2007. "Bayesian Analysis of DSGE Models," Econometric Reviews, Taylor & Francis Journals, vol. 26(2-4), pages 113-172.
    60. Malin Adolfson & Stefan Las√Âen & Jesper Lind√ & Lars E.O. Svensson, 2011. "Optimal Monetary Policy in an Operational Medium-Sized DSGE Model," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 43(7), pages 1287-1331, October.
    61. Melecky, Ales & Melecky, Martin, 2010. "From inflation to exchange rate targeting: Estimating the stabilization effects for a small open economy," Economic Systems, Elsevier, vol. 34(4), pages 450-468, December.
    62. Rossana Merola, 2009. "A bayesian estimation of a DSGE model with financial frictions," CEIS Research Paper 149, Tor Vergata University, CEIS, revised 01 Oct 2009.
    63. Timothy Cogley & Giorgio E. Primiceri & Thomas J. Sargent, 2008. "Inflation-Gap Persistence in the U.S," NBER Working Papers 13749, National Bureau of Economic Research, Inc.
    64. Philip Liu & Konstantinos Theodoridis, 2012. "DSGE Model Restrictions for Structural VAR Identification," International Journal of Central Banking, International Journal of Central Banking, vol. 8(4), pages 61-95, December.
    65. Periklis Gogas & Theophilos Papadimitriou & Elvira Takli, 2013. "Comparison of Simple Sum and Divisia Monetary Aggregates in GDP Forecasting: A Support Vector Machines Approach," Working Paper series 04_13, Rimini Centre for Economic Analysis.
    66. Thomas Lubik & Frank Schorfheide, 2005. "A Bayesian Look at New Open Economy Macroeconomics," Economics Working Paper Archive 521, The Johns Hopkins University,Department of Economics.
    67. Lombardi, Marco J. & Sgherri, Silvia, 2007. "(Un)naturally low? Sequential Monte Carlo tracking of the US natural interest rate," Working Paper Series 794, European Central Bank.
    68. Mayer, Eric & Grimm, Oliver, 2008. "Countercyclical taxation and price dispersion," W.E.P. - Würzburg Economic Papers 78, University of Würzburg, Department of Economics.
    69. Rubaszek, Michal & Skrzypczynski, Pawel, 2008. "On the forecasting performance of a small-scale DSGE model," International Journal of Forecasting, Elsevier, vol. 24(3), pages 498-512.
    70. Massimiliano Marcellino & Yuliya Rychalovska, 2014. "Forecasting with a DSGE Model of a Small Open Economy within the Monetary Union," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 33(5), pages 315-338, August.
    71. Guido Ascari & Nicola Branzoli, 2010. "Inflation persistence, Price Indexation and Optimal Simple Interest Rate Rules," Quaderni di Dipartimento 129, University of Pavia, Department of Economics and Quantitative Methods.
    72. Francesco Furlanetto & Paolo Gelain & Marzie Taheri Sanjani, 2014. "Output Gap in Presence of Financial Frictions and Monetary Policy Trade-offs," IMF Working Papers 2014/128, International Monetary Fund.
    73. V. Anton Muscatelli & Patrizio Tirelli, 2005. "Analyzing the Interaction of Monetary and Fiscal Policy: Does Fiscal Policy Play a Valuable Role in Stabilisation?," CESifo Economic Studies, CESifo Group, vol. 51(4), pages 549-585.
    74. Paul Levine & Joseph Pearlman & George Perendia & Bo Yang, 2010. "Endogenous Persistence in an Estimated DSGE Model under Imperfect Information," School of Economics Discussion Papers 0310, School of Economics, University of Surrey.
    75. Charles L. Evans & David A. Marshall, 2005. "Fundamental Economic Shocks and The Macroeconomy," Working Papers Central Bank of Chile 351, Central Bank of Chile.
    76. Marco Del Negro & Frank Schorfheide, 2006. "How good is what you've got? DSGE-VAR as a toolkit for evaluating DSGE models," Economic Review, Federal Reserve Bank of Atlanta, vol. 91(Q 2), pages 21-37.
    77. Jesper Lindé, 2005. "Bårdsen, Gunnar; Eitrheim, Øyvind; Jansen, Eilev S. and Nymoen, Ragnar: The Econometrics of Macroeconomic Modelling," Scandinavian Journal of Economics, Wiley Blackwell, vol. 107(4), pages 762-767, December.
    78. Riccardo DiCecio & Edward Nelson, 2007. "An estimated DSGE model for the United Kingdom," Review, Federal Reserve Bank of St. Louis, vol. 89(Jul), pages 215-232.
    79. Gregor B urle, 2008. "Priors from DSGE Models for Dynamic Factor Analysis," Diskussionsschriften dp0803, Universitaet Bern, Departement Volkswirtschaft.
    80. Inoue, Atsushi & Rossi, Barbara, 2008. "Which Structural Parameters Are "Structural"? Identifying the Sources of Instabilities in Economic Models," Working Papers 08-02, Duke University, Department of Economics.
    81. Linde, Jesper & Adolfson, Malin & LASEEN, PER & Villani, Mattias, 2007. "Evaluating An Estimated New Keynesian Small Open Economy Model," CEPR Discussion Papers 6027, C.E.P.R. Discussion Papers.
    82. Matheson, Troy, 2010. "Assessing the fit of small open economy DSGEs," Journal of Macroeconomics, Elsevier, vol. 32(3), pages 906-920, September.
    83. Daniel O. Beltran & David Draper, 2016. "Estimating Dynamic Macroeconomic Models : How Informative Are the Data?," International Finance Discussion Papers 1175, Board of Governors of the Federal Reserve System (U.S.).
    84. Beyer, Andreas & Farmer, Roger E. A., 2006. "A method to generate structural impulse-responses for measuring the effects of shocks in structural macro models," Working Paper Series 586, European Central Bank.
    85. Hülsewig, Oliver & Mayer, Eric & Wollmershäuser, Timo, 2009. "Bank behavior, incomplete interest rate pass-through, and the cost channel of monetary policy transmission," Economic Modelling, Elsevier, vol. 26(6), pages 1310-1327, November.
    86. Iiboshi, Hirokuni & Nishiyama, Shin-Ichi & Watanabe, Toshiaki, 2006. "An Estimated Dynamic Stochastic General Equilibrium Model of the Japanese Economy: A Bayesian Analysis," MPRA Paper 85702, University Library of Munich, Germany.
    87. Viktors Ajevskis & Kristine Vitola, 2009. "Advantages of Fixed Exchange Rate Regime from a General Equilibrium Perspective," Working Papers 2009/04, Latvijas Banka.
    88. Allen, P. Geoffrey & Morzuch, Bernard J., 2006. "Twenty-five years of progress, problems, and conflicting evidence in econometric forecasting. What about the next 25 years?," International Journal of Forecasting, Elsevier, vol. 22(3), pages 475-492.
    89. Polgár, Éva Katalin, 2006. "Monetary policy rules in a two-sector small open economy," Discussion Papers 2006/13, Free University Berlin, School of Business & Economics.
    90. Adolfson, Malin & Andersson, Michael K. & Lindé, Jesper & Villani, Mattias & Vredin, Anders, 2005. "Modern Forecasting Models in Action: Improving Macroeconomic Analyses at Central Banks," Working Paper Series 188, Sveriges Riksbank (Central Bank of Sweden), revised 01 Jun 2006.
    91. Francesco Giuli & Massimiliano Tancioni, 2010. "Contractionary Effects of Supply Shocks: Evidence and Theoretical Interpretation," Working Papers in Public Economics 131, Department of Economics and Law, Sapienza University of Roma.
    92. Renata Wróbel-Rotter, 2016. "Impulse Response Functions in the Dynamic Stochastic General Equilibrium Vector Autoregression Model," Central European Journal of Economic Modelling and Econometrics, Central European Journal of Economic Modelling and Econometrics, vol. 8(2), pages 93-114, June.
    93. Riccardo Cristadoro & Andrea Gerali & Stefano Neri & Massimiliano Pisani, 2008. "Real exchange rate volatility and disconnect: an empirical investigation," Temi di discussione (Economic working papers) 660, Bank of Italy, Economic Research and International Relations Area.
    94. Fritz Breuss & Katrin Rabitsch, 2009. "An estimated two-country DSGE model of Austria and the Euro Area," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 36(1), pages 123-158, February.
    95. Pierre Malgrange & Jean-Pierre Laffargue & Anne Epaulard, 2008. "La modélisation macroéconomique DSGE. Présentation générale," Économie et Prévision, Programme National Persée, vol. 183(2), pages 1-13.
    96. Mayer, Eric & Stähler, Nikolai, 2009. "The debt brake: business cycle and welfare consequences of Germany's new fiscal policy rule," Discussion Paper Series 1: Economic Studies 2009,24, Deutsche Bundesbank.
    97. Sungbae An & Heedon Kang, 2011. "Oil Shocks in a DSGE Model for the Korean Economy," NBER Chapters, in: Commodity Prices and Markets, pages 295-321, National Bureau of Economic Research, Inc.
    98. Christoffel, Kai & Kuester, Keith & Linzert, Tobias, 2005. "The Impact of Labor Markets on the Transmission of Monetary Policy in an Estimated DSGE Model," IZA Discussion Papers 1902, Institute of Labor Economics (IZA).
    99. Martin Fukac & Adrian Pagan, 2006. "Issues in Adopting DSGE Models for Use in the Policy Process," Working Papers 2006/6, Czech National Bank, Research and Statistics Department.
    100. Giuli, Francesco & Tancioni, Massimiliano, 2012. "Real rigidities, productivity improvements and investment dynamics," Journal of Economic Dynamics and Control, Elsevier, vol. 36(1), pages 100-118.
    101. Männistö, Hanna-Leena, 2005. "Forecasting with a forward-looking DGE model: combining long-run views of financial markes with macro forecasting," Bank of Finland Research Discussion Papers 21/2005, Bank of Finland.
    102. Mattias Villani, 2009. "Steady-state priors for vector autoregressions," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 24(4), pages 630-650.

  52. Thomas Lubik & Frank Schorfheide, 2005. "A Bayesian Look at New Open Economy Macroeconomics," Economics Working Paper Archive 521, The Johns Hopkins University,Department of Economics.

    Cited by:

    1. Haider, Adnan & Khan, Safdar Ullah, 2008. "A Small Open Economy DSGE Model for Pakistan," MPRA Paper 12977, University Library of Munich, Germany, revised 17 Jan 2009.
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  54. Marco Del Negro & Frank Schorfheide, 2004. "A DSGE-VAR for the Euro Area," 2004 Meeting Papers 43, Society for Economic Dynamics.

    Cited by:

    1. Shuyun May Li & Adam Spencer, 2014. "Effectiveness of the Australian Fiscal Stimulus Package: A DSGE Analysis," Department of Economics - Working Papers Series 1184, The University of Melbourne.

  55. Marco Del Negro & Frank Schorfheide, 2004. "Policy predictions if the model doesn’t fit," FRB Atlanta Working Paper 2004-38, Federal Reserve Bank of Atlanta.

    Cited by:

    1. Eilev S. Jansen, 2004. "Modelling inflation in the Euro Area," Working Paper 2004/10, Norges Bank.
    2. Del Negro, Marco & Schorfheide, Frank, 2005. "Monetary policy analysis with potentially misspecified models," Working Paper Series 475, European Central Bank.
    3. Cole, Stephen J. & Milani, Fabio, 2019. "The Misspecification Of Expectations In New Keynesian Models: A Dsge-Var Approach," Macroeconomic Dynamics, Cambridge University Press, vol. 23(3), pages 974-1007, April.
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    5. Andrea Carriero, 2011. "Forecasting The Yield Curve Using Priors From No‐Arbitrage Affine Term Structure Models," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 52(2), pages 425-459, May.
    6. William A. Brock & Steven N. Durlauf & Kenneth D. West, 2005. "Model uncertainty and policy evaluation: some theory and empirics," Proceedings, Federal Reserve Bank of San Francisco.
    7. Dufour, Jean-Marie & Khalaf, Lynda & Kichian, Maral, 2010. "On the precision of Calvo parameter estimates in structural NKPC models," Journal of Economic Dynamics and Control, Elsevier, vol. 34(9), pages 1582-1595, September.
    8. Brock,W.A. & Durlauf,S.N. & West,K.D., 2004. "Model uncertainty and policy evaluation : some theory and empirics," Working papers 19, Wisconsin Madison - Social Systems.

  56. Frank Schorfheide, 2003. "Learning and monetary policy shifts," FRB Atlanta Working Paper 2003-23, Federal Reserve Bank of Atlanta.

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    1. Gilles Dufrénot & Guillaume A. Khayat, 2017. "Monetary Policy Switching in the Euro Area and Multiple Steady States: An Empirical Investigation," Post-Print hal-01590000, HAL.
    2. Eo, Yunjong, 2008. "Bayesian Analysis of DSGE Models with Regime Switching," MPRA Paper 13910, University Library of Munich, Germany, revised 11 Feb 2009.
    3. Francesco Bianchi, 2011. "Monetary/Fiscal Policy Mix and Agents' Beliefs," 2011 Meeting Papers 156, Society for Economic Dynamics.
    4. Zheng Liu & Daniel F. Waggoner & Tao Zha, 2007. "Asymmetric expectation effects of regime shifts and the Great Moderation," Working Papers 653, Federal Reserve Bank of Minneapolis.
    5. Francesco Bianchi, 2009. "Regime Switches, Agents’ Beliefs, and Post-World War II U.S. Macroeconomic Dynamics," 2009 Meeting Papers 198, Society for Economic Dynamics.
    6. Gbaguidi DAVID, 2011. "Expectations Impact On The Effectiveness Of The Inflation-Real Activity Trade-Off," Theoretical and Practical Research in the Economic Fields, ASERS Publishing, vol. 2(2), pages 141-181.
    7. Cogley, Timothy & Matthes, Christian & Sbordone, Argia M., 2015. "Optimized Taylor rules for disinflation when agents are learning," Journal of Monetary Economics, Elsevier, vol. 72(C), pages 131-147.
    8. Alfred Duncan & Charles Nola, 2017. "Disputes , Debt And Equity," Working Papers 2017_08, Business School - Economics, University of Glasgow.
    9. Chang, Yoosoon & Maih, Junior & Tan, Fei, 2021. "Origins of monetary policy shifts: A New approach to regime switching in DSGE models," Journal of Economic Dynamics and Control, Elsevier, vol. 133(C).
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    11. Fabio Canova & Luca Gambetti, 2003. "Structural changes in the US economy: is there a role for monetary policy?," Economics Working Papers 918, Department of Economics and Business, Universitat Pompeu Fabra, revised Apr 2008.
    12. Andrew T. Foerster, 2016. "Monetary Policy Regime Switches And Macroeconomic Dynamics," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 57(1), pages 211-230, February.
    13. Gianni Amisano & Oreste Tristani, 2006. "Euro area inflation persistence in an estimated nonlinear," Computing in Economics and Finance 2006 347, Society for Computational Economics.
    14. Bianchi, Francesco & Melosi, Leonardo, 2013. "Escaping the Great Recession," CEPR Discussion Papers 9643, C.E.P.R. Discussion Papers.
    15. Ana Beatriz Galvão & Liudas Giraitis & George Kapetanios & Katerina Petrova, 2015. "A Bayesian Local Likelihood Method for Modelling Parameter Time Variation in DSGE Models," Working Papers 770, Queen Mary University of London, School of Economics and Finance.
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    17. Yoosoon Chang & Junior Maih & Fei Tan, 2018. "State Space Models with Endogenous Regime Switching," Working Papers No 9/2018, Centre for Applied Macro- and Petroleum economics (CAMP), BI Norwegian Business School.
    18. Omotosho, Babatunde S. & Yang, Bo, 2024. "Oil price shocks and macroeconomic dynamics in resource-rich emerging economies under regime shifts," Journal of International Money and Finance, Elsevier, vol. 144(C).
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    20. Pablo Garcia, 2021. "Learning, expectations and monetary policy," BCL working papers 153, Central Bank of Luxembourg.
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    24. Chen, Xiaoshan & Kirsanova, Tatiana & Leith, Campbell, 2013. "How Optimal is US Monetary Policy?," Stirling Economics Discussion Papers 2013-05, University of Stirling, Division of Economics.
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    27. Timothy Cogley & Boyan Jovanovic, 2020. "Structural Breaks in an Endogenous Growth Model," NBER Working Papers 28026, National Bureau of Economic Research, Inc.
    28. Charemza, Wojciech & Ladley, Daniel, 2016. "Central banks’ forecasts and their bias: Evidence, effects and explanation," International Journal of Forecasting, Elsevier, vol. 32(3), pages 804-817.
    29. Francesco Bianchi & Leonardo Melosi, 2012. "Constrained Discretion and Central Bank Transparency," PIER Working Paper Archive 13-031, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.
    30. Zha, Tao & Rubio-Ramírez, Juan Francisco & , & Foerster, Andrew, 2013. "Perturbation Methods for Markov-Switching DSGE Models," CEPR Discussion Papers 9464, C.E.P.R. Discussion Papers.
    31. Edward Herbst & David Lopez-Salido & Christopher Gust, 2017. "Forward Guidance with Bayesian Learning and Estimation," 2017 Meeting Papers 1189, Society for Economic Dynamics.
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    33. Zheng Liu & Daniel F. Waggoner & Tao Zha, 2009. "Sources of the Great Moderation: shocks, friction, or monetary policy?," Working Paper Series 2009-01, Federal Reserve Bank of San Francisco.
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    35. Toru Kitagawa & Weining Wang & Mengshan Xu, 2024. "Policy choice in time series by empirical welfare maximization," CeMMAP working papers 27/24, Institute for Fiscal Studies.
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    37. Spencer D. Krane & Leonardo Melosi & Matthias Rottner, 2023. "Learning Monetary Policy Strategies at the Effective Lower Bound with Sudden Surprises," Working Paper Series WP 2023-22, Federal Reserve Bank of Chicago.
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    40. George Kapetanios & Stephen Millard & Katerina Petrova & Simon Price, 2019. "Time-varying cointegration and the UK great ratios," Bank of England working papers 789, Bank of England.
    41. Hess Chung & Troy Davig & Eric Leeper, 2004. "Monetary and Fiscal Policy Switching," Computing in Economics and Finance 2004 325, Society for Computational Economics.
    42. Leonardo Melosi, 2013. "Modeling the Evolution of Expectations and Uncertainty in General Equilibrium," 2013 Meeting Papers 67, Society for Economic Dynamics.
    43. Guido Ascari & Efrem Castelnuovo & Lorenza Rossi, 2010. "Calvo vs. Rotemberg in a Trend Inflation World: An Empirical Investigation," Quaderni di Dipartimento 108, University of Pavia, Department of Economics and Quantitative Methods.
    44. Marcelo Arbex & Sidney Caetano & Wilson Correa, 2018. "Macroeconomic Effects of Inflation Target Uncertainty Shocks," Working Papers 1804, University of Windsor, Department of Economics.
    45. Chevillon, Guillaume & Massmann, Michael & Mavroeidis, Sophocles, 2010. "Inference in models with adaptive learning," Journal of Monetary Economics, Elsevier, vol. 57(3), pages 341-351, April.
    46. Hubrich, Kirstin & Tetlow, Robert J., 2014. "Financial stress and economic dynamics: the transmission of crises," Working Paper Series 1728, European Central Bank.
    47. David Andolfatto & Scott Hendry & Kevin Moran, 2007. "Are Inflation Expectations Rational?," Working Paper series 27_07, Rimini Centre for Economic Analysis.
    48. Scott Davis, 2012. "The Effect of Commodity Price Shocks on Underlying Inflation: The Role of Central Bank Credibility," Working Papers 272012, Hong Kong Institute for Monetary Research.
    49. Taeyoung Doh, 2007. "What does the yield curve tell us about the Federal Reserve's implicit inflation target?," Research Working Paper RWP 07-10, Federal Reserve Bank of Kansas City.
    50. Ernst, Ekkehard & Semmler, Willi & Haider, Alexander, 2016. "Debt deflation, financial market stress and regime change: Evidence from Europe using MRVAR," ZEW Discussion Papers 16-030, ZEW - Leibniz Centre for European Economic Research.
    51. Ana Beatriz Galvão & Liudas Giraitis & George Kapetanios & Katerina Petrova, 2015. "A Time Varying DSGE Model with Financial Frictions," Working Papers 769, Queen Mary University of London, School of Economics and Finance.
    52. S. Boragan Aruoba & Frank Schorfheide, 2009. "Sticky Prices Versus Monetary Frictions: An Estimation of Policy Trade-offs," NBER Working Papers 14870, National Bureau of Economic Research, Inc.
    53. Chen, Xiaoshan & MacDonald, Ronald, 2011. "Realised and Optimal Monetary Policy Rules in an Estimated Markov-Switching DSGE Model of the United Kingdom," SIRE Discussion Papers 2011-21, Scottish Institute for Research in Economics (SIRE).
    54. Shaw, Charles, 2018. "Regime-Switching And Levy Jump Dynamics In Option-Adjusted Spreads," MPRA Paper 94154, University Library of Munich, Germany, revised 27 May 2019.
    55. Justin Svec & Daniel L. Tortorice, 2022. "Asserting Independence: Optimal Monetary Policy When the Central Bank and Political Authority Disagree," Working Papers 2201, College of the Holy Cross, Department of Economics.
    56. Martínez-García Enrique, 2010. "A Model of the Exchange Rate with Informational Frictions," The B.E. Journal of Macroeconomics, De Gruyter, vol. 10(1), pages 1-39, January.
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    58. João Valle e Azevedo, 2011. "Rational vs. professional forecasts," Economic Bulletin and Financial Stability Report Articles and Banco de Portugal Economic Studies, Banco de Portugal, Economics and Research Department.
    59. Fabio Milani, 2005. "Learning, Monetary Policy Rules, and Macroeconomic Stability," Macroeconomics 0508019, University Library of Munich, Germany.
    60. IIBOSHI Hirokuni, 2014. "Monetary Policy Regime Shifts Under the Zero Lower Bound: An Application of a Stochastic Rational Expectations Equilibrium to a Markov Switching DSGE Model," ESRI Discussion paper series 312, Economic and Social Research Institute (ESRI).
    61. Francesco Bianchi & Cosmin L. Ilut & Martin Schneider, 2018. "Uncertainty Shocks, Asset Supply and Pricing over the Business Cycle," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 85(2), pages 810-854.
    62. Marco Airaudo & Ina Hajdini, 2021. "Wealth Effects, Price Markups, and the Neo-Fisherian Hypothesis," Working Papers 21-27, Federal Reserve Bank of Cleveland.
    63. P.A. Tinsley & Sharon Kozicki, 2004. "Permanent and Transitory Policy Shocks in an Empirical Macro Model with Asymmetric Information," Computing in Economics and Finance 2004 146, Society for Computational Economics.
    64. Gustavo Adler & Mr. Ruy Lama & Juan Pablo Medina Guzman, 2016. "Foreign Exchange Intervention under Policy Uncertainty," IMF Working Papers 2016/067, International Monetary Fund.
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    73. Bianchi, Francesco, 2016. "Methods for measuring expectations and uncertainty in Markov-switching models," Journal of Econometrics, Elsevier, vol. 190(1), pages 79-99.
    74. Francesco Bianchi & Leonardo Melosi, 2013. "Dormant Shocks and Fiscal Virtue," Working Papers 13-12, Duke University, Department of Economics.
    75. J. Scott Davis & Ignacio Presno, 2014. "Inflation targeting and the anchoring of inflation expectations: cross-country evidence from consensus forecasts," Globalization Institute Working Papers 174, Federal Reserve Bank of Dallas.
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    93. Sacht, Stephen & Franke, Reiner & Jang, Tae-Seok, 2013. "Moment Matching versus Bayesian Estimation: Backward-Looking Behaviour in a New-Keynesian Baseline Model," VfS Annual Conference 2013 (Duesseldorf): Competition Policy and Regulation in a Global Economic Order 79694, Verein für Socialpolitik / German Economic Association.
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    2. Lena Kraus & Jürgen Beier & Bernhard Herz, 2019. "Sudden stops in a currency union – some lessons from the euro area," Scottish Journal of Political Economy, Scottish Economic Society, vol. 66(1), pages 115-138, February.
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  58. Thomas Lubik & Frank Schorfheide, 2003. "Do Central Banks Respond to Exchange Rate Movements? A Structural Investigation," Economics Working Paper Archive 505, The Johns Hopkins University,Department of Economics.

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    3. Jay Euijung Lee, 2025. "Marriage and misallocation: evidence from 70 years of US history," CEP Discussion Papers dp2119, Centre for Economic Performance, LSE.
    4. Gehrke, Britta & Yao, Fang, 2016. "Persistence and Volatility of Real Exchange Rates: The Role of Supply Shocks Revisited," VfS Annual Conference 2016 (Augsburg): Demographic Change 145752, Verein für Socialpolitik / German Economic Association.
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    9. Ngai, L. Rachel & Pissarides, Christopher, 2008. "Trends in hours and economic growth," LSE Research Online Documents on Economics 3828, London School of Economics and Political Science, LSE Library.
    10. Pissarides, Christopher & Ngai, Liwa Rachel, 2011. "Taxes, Social Subsidies and the Allocation of Work Time," CEPR Discussion Papers 8328, C.E.P.R. Discussion Papers.
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    12. Eric Jondeau & Jean-Guillaume Sahuc, 2005. "Testing Heterogeneity within the Euro Area Using a Structural Multi-Country Model," Documents de recherche 05-06, Centre d'Études des Politiques Économiques (EPEE), Université d'Evry Val d'Essonne.
    13. Alejandro Justiniano & Giorgio E. Primiceri & Andrea Tambalotti, 2008. "Investment shocks and business cycles," Staff Reports 322, Federal Reserve Bank of New York.
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    16. Greenwood, Jeremy & Guner, Nezih, 2008. "Marriage and Divorce since World War II: Analyzing the Role of Technological Progress on the Formation of Households," IZA Discussion Papers 3313, Institute of Labor Economics (IZA).
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    19. Alessandra Casarico & Alessandro Sommacal, 2012. "Labor Income Taxation, Human Capital, and Growth: The Role of Childcare," Scandinavian Journal of Economics, Wiley Blackwell, vol. 114(4), pages 1182-1207, December.
    20. Kotamäki Mauri, 2017. "Laffer Curves and Home Production," Nordic Tax Journal, Sciendo, vol. 2017(1), pages 59-69, January.
    21. Robert Duval-Hernandez & Lei Fang & L. Rachel Ngai, 2018. "Social Subsidies and Marketization: the role of gender and skill," Discussion Papers 1804, Centre for Macroeconomics (CFM).
    22. Lei Fang & Anne Hannusch & Pedro Silos, 2020. "Bundling Time and Goods: Implications for Hours Dispersion," FRB Atlanta Working Paper 2020-1, Federal Reserve Bank of Atlanta.
    23. Fang, Lei & Zhu, Guozhong, 2017. "Time allocation and home production technology," Journal of Economic Dynamics and Control, Elsevier, vol. 78(C), pages 88-101.
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    25. Eric Jondeau & Jean-Guillaume Sahuc, 2008. "Optimal Monetary Policy in an Estimated DSGE Model of the Euro Area with Cross-country Heterogeneity," Post-Print hal-01612712, HAL.
    26. Peersman, Gert & Straub, Roland, 2004. "Technology shocks and robust sign restrictions in a euro area SVAR," Working Paper Series 373, European Central Bank.
    27. Alessio Moro & Solmaz Moslehi & Satoshi Tanaka, 2016. "Does Home Production Drive Structural Transformation?," CAMA Working Papers 2016-19, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    28. Ellen R. McGrattan & Edward C. Prescott, 2009. "Unmeasured investment and the puzzling U.S. boom in the 1990s," Staff Report 369, Federal Reserve Bank of Minneapolis.
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    Cited by:

    1. Frank Schorfheide, 2003. "Learning and monetary policy shifts," FRB Atlanta Working Paper 2003-23, Federal Reserve Bank of Atlanta.
    2. Marco Del Negro & Frank Schorfheide, 2002. "Priors from general equilibrium models for VARs," FRB Atlanta Working Paper 2002-14, Federal Reserve Bank of Atlanta.

  62. Gomes, Joao & Chang, Yongsung & Schorfheide, Frank, 2002. "Learning by Doing as a Propagation Mechanism," CEPR Discussion Papers 3599, C.E.P.R. Discussion Papers.

    Cited by:

    1. Takashi Kano, 2007. "Habit Formation and the Present-Value Model of the Current Account: Yet Another Suspect," CIRJE F-Series CIRJE-F-505, CIRJE, Faculty of Economics, University of Tokyo.
    2. Toshihiko Mukoyama & Yoonsoo Lee, 2008. "Entry, Exit, and Plant-level Dynamics over the Business Cycle," 2008 Meeting Papers 454, Society for Economic Dynamics.
    3. Frank Schorfheide & Marco Del Negro, 2007. "Forming Priors for DSGE Models (and How It Affects the Assessment of Nominal Rigidities)," 2007 Meeting Papers 283, Society for Economic Dynamics.
    4. Juha Tervala, 2011. "Learning by Devaluating: A Supply-Side Effect of Competitive Devaluation," Discussion Papers 67, Aboa Centre for Economics.
    5. Cristina Fuentes-Albero & Maxym Kryshko & José-Víctor Ríos-Rull & Raul Santaeulalia-Llopis & Frank Schorfheide, 2009. "Methods versus substance: measuring the effects of technology shocks on hours," Staff Report 433, Federal Reserve Bank of Minneapolis.
    6. Yongsung Chang & Taeyoung Doh & Frank Schorfheide, 2007. "Non‐stationary Hours in a DSGE Model," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 39(6), pages 1357-1373, September.
    7. Cavallari, Lilia, 2022. "The international real business cycle when demand matters," Journal of Macroeconomics, Elsevier, vol. 73(C).
    8. Valentina Corradi & Norman Swanson, 2013. "A Survey of Recent Advances in Forecast Accuracy Comparison Testing, with an Extension to Stochastic Dominance," Departmental Working Papers 201309, Rutgers University, Department of Economics.
    9. Eric Jondeau & Jean-Guillaume Sahuc, 2005. "Testing Heterogeneity within the Euro Area Using a Structural Multi-Country Model," Documents de recherche 05-06, Centre d'Études des Politiques Économiques (EPEE), Université d'Evry Val d'Essonne.
    10. A. Johri & M-A. Letendre, 2001. "Labour Market Dynamics in RBC Models," Department of Economics Working Papers 2001-03, McMaster University.
    11. James M. Nason & Takashi Kano, 2004. "Business Cycle Implications of Habit Formation," Computing in Economics and Finance 2004 175, Society for Computational Economics.
    12. Cavallari, Lilia & Etro, Federico, 2020. "Demand, markups and the business cycle," European Economic Review, Elsevier, vol. 127(C).
    13. Shirai, Daichi, 2016. "Persistence and Amplification of Financial Frictions," MPRA Paper 72187, University Library of Munich, Germany.
    14. Karel Mertens & Morten O. Ravn, 2010. "Technology-Hours Redux: Tax Changes and the Measurement of Technology Shocks," NBER Chapters, in: NBER International Seminar on Macroeconomics 2010, pages 41-76, National Bureau of Economic Research, Inc.
    15. Daehaeng Kim & Chul-In Lee, 2007. "On-the-Job Human Capital Accumulation in a Real Business Cycle Model: Implications for Intertemporal Substitution Elasticity and Labor Hoarding," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 10(3), pages 494-518, July.
    16. Alpanda, Sami & Peralta-Alva, Adrian, 2007. "Oil Crisis, Energy-Saving Technological Change and the Stock Market Crash of 1973-74," MPRA Paper 5896, University Library of Munich, Germany.
    17. Adnrew J. Clarke & Alok Johri, 2008. "Pro-cyclical Solow Residuals without Technology Shocks," Department of Economics Working Papers 2008-02, McMaster University.
    18. William Peterman, 2016. "The effect of endogenous human capital accumulation on optimal taxation," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 21, pages 46-71, July.
    19. Norman Swanson & Oleg Korenok, 2006. "The Incremental Predictive Information Associated with Using Theoretical New Keynesian DSGE Models Versus Simple Linear Alternatives," Departmental Working Papers 200615, Rutgers University, Department of Economics.
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    5. Eilev S. Jansen, 2004. "Modelling inflation in the Euro Area," Working Paper 2004/10, Norges Bank.
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    9. Wolters, Maik H., 2013. "Evaluating point and density forecasts of DSGE models," Economics Working Papers 2013-03, Christian-Albrechts-University of Kiel, Department of Economics.
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    319. Andrle, Michal & Plašil, Miroslav, 2018. "Econometrics with system priors," Economics Letters, Elsevier, vol. 172(C), pages 134-137.
    320. Sungbae An & Heedon Kang, 2011. "Oil Shocks in a DSGE Model for the Korean Economy," NBER Chapters, in: Commodity Prices and Markets, pages 295-321, National Bureau of Economic Research, Inc.
    321. Stephen Burgess & Emilio Fernandez-Corugedo & Charlotta Groth & Richard Harrison & Francesca Monti & Konstantinos Theodoridis & Matt Waldron, 2013. "The Bank of England's forecasting platform: COMPASS, MAPS, EASE and the suite of models," Bank of England working papers 471, Bank of England.
    322. Tim Robinson, 2013. "Estimating and Identifying Empirical BVAR-DSGE Models for Small Open Economies," RBA Research Discussion Papers rdp2013-06, Reserve Bank of Australia.
    323. Roccazzella, Francesco, 2019. "Credit market frictions and rational agents' myopia: Modeling financial frictions and shock to expectations in a DSGE setting estimated on Slovenian data," LIDAM Discussion Papers LFIN 2019004, Université catholique de Louvain, Louvain Finance (LFIN).
    324. Paccagnini, Alessia, 2010. "DSGE Model Validation in a Bayesian Framework: an Assessment," MPRA Paper 24509, University Library of Munich, Germany.
    325. Stefano Gnocchi & Daniela Hauser & Evi Pappa, 2014. "Housework and Fiscal Expansions," Staff Working Papers 14-34, Bank of Canada.
    326. Reicher, Christopher Phillip, 2013. "Evaluating misspecification in DSGE models using tests for overidentifying restrictions," VfS Annual Conference 2013 (Duesseldorf): Competition Policy and Regulation in a Global Economic Order 79955, Verein für Socialpolitik / German Economic Association.
    327. Schorfheide, Frank, 2005. "VAR forecasting under misspecification," Journal of Econometrics, Elsevier, vol. 128(1), pages 99-136, September.
    328. Roth, Markus, 2020. "Partial pooling with cross-country priors: An application to house price shocks," Discussion Papers 06/2020, Deutsche Bundesbank.
    329. Andrea Carriero, 2007. "A Bayesian Framework for the Expectations Hypothesis. How to Extract Additional Information from the Term Structure of Interest Rates," Working Papers 591, Queen Mary University of London, School of Economics and Finance.
    330. Nadiia Shapovalenko, 2021. "A BVAR Model for Forecasting Ukrainian Inflation and GDP," Visnyk of the National Bank of Ukraine, National Bank of Ukraine, issue 251, pages 14-36.
    331. Ulrich Gunter, 2019. "Estimating and forecasting with a two-country DSGE model of the Euro area and the USA: the merits of diverging interest-rate rules," Empirical Economics, Springer, vol. 56(4), pages 1283-1323, April.
    332. Yi-Hua Wu & Chih-Chin Ho & Eric S. Lin, 2017. "Measuring the Impact of Military Spending: How Far Does a DSGE Model Deviate from Reality?," Defence and Peace Economics, Taylor & Francis Journals, vol. 28(5), pages 585-608, September.
    333. Raffaella Giacomini, 2013. "The relationship between DSGE and VAR models," CeMMAP working papers 21/13, Institute for Fiscal Studies.
    334. Michael Dotsey, 2013. "DSGE models and their use in monetary policy," Business Review, Federal Reserve Bank of Philadelphia, issue Q2, pages 10-16.
    335. Daniel F. Waggoner & Hongwei Wu & Tao Zha, 2014. "The Dynamic Striated Metropolis-Hastings Sampler for High-Dimensional Models," FRB Atlanta Working Paper 2014-21, Federal Reserve Bank of Atlanta.
    336. Dilip Nachane, 2017. "Dynamic Stochastic General Equilibrium (DSGE) Modelling :Theory And Practice," Working Papers id:11699, eSocialSciences.
    337. Fei Tan, 2017. "Interpreting rational expectations econometrics via analytic function approach," Economics Bulletin, AccessEcon, vol. 37(2), pages 1182-1190.

  64. Thomas A Lubik & Frank Schorfheide, 2001. "Computing Sunspots in Linear Rational Expectations Models," Economics Working Paper Archive 456, The Johns Hopkins University,Department of Economics, revised Jun 2002.

    Cited by:

    1. Thomas A. Lubik & Frank Schorfheide, 2004. "Testing for Indeterminacy: An Application to U.S. Monetary Policy," American Economic Review, American Economic Association, vol. 94(1), pages 190-217, March.
    2. Pedro Pablo Álvarez Lois, 2003. "Capacity utilization and Monetary Policy," Working Papers 0306, Banco de España.

  65. Yongsung Chang & Joao Gomes & Frank Schorfheide, 2000. "Persistence," Econometric Society World Congress 2000 Contributed Papers 1632, Econometric Society.

    Cited by:

    1. Claudio Morana & Giacomo Sbrana, 2018. "Some Financial Implications of Global Warming: an Empirical Assessment," Working Papers 2018.01, Fondazione Eni Enrico Mattei.
    2. Kevin L. Reffett & Frank Schorfheide, 2000. "Evaluating Asset Pricing Implications of DSGE Models," Econometric Society World Congress 2000 Contributed Papers 1630, Econometric Society.
    3. Wendt, Minh & Kinsey, Jean D., 2009. "Childhood Overweight and School Outcomes," 2009 Annual Meeting, July 26-28, 2009, Milwaukee, Wisconsin 49347, Agricultural and Applied Economics Association.

Articles

  1. Frank Schorfheide & Dongho Song, 2024. "Real-Time Forecasting with a (Standard) Mixed-Frequency VAR During a Pandemic," International Journal of Central Banking, International Journal of Central Banking, vol. 20(4), pages 275-320, October.
    See citations under working paper version above.
  2. Minsu Chang & Xiaohong Chen & Frank Schorfheide, 2024. "Heterogeneity and Aggregate Fluctuations," Journal of Political Economy, University of Chicago Press, vol. 132(12), pages 4021-4067.
    See citations under working paper version above.
  3. Mlikota Marko & Schorfheide Frank, 2024. "Sequential Monte Carlo with model tempering," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 28(2), pages 249-269, April.
    See citations under working paper version above.
  4. Laura Liu & Hyungsik Roger Moon & Frank Schorfheide, 2023. "Forecasting with a panel Tobit model," Quantitative Economics, Econometric Society, vol. 14(1), pages 117-159, January.
    See citations under working paper version above.
  5. Aruoba, S. Borağan & Mlikota, Marko & Schorfheide, Frank & Villalvazo, Sergio, 2022. "SVARs with occasionally-binding constraints," Journal of Econometrics, Elsevier, vol. 231(2), pages 477-499.
    See citations under working paper version above.
  6. Liu, Laura & Moon, Hyungsik Roger & Schorfheide, Frank, 2021. "Panel forecasts of country-level Covid-19 infections," Journal of Econometrics, Elsevier, vol. 220(1), pages 2-22.
    See citations under working paper version above.
  7. Michael Cai & Marco Del Negro & Edward Herbst & Ethan Matlin & Reca Sarfati & Frank Schorfheide, 2021. "Online estimation of DSGE models," The Econometrics Journal, Royal Economic Society, vol. 24(1), pages 33-58.
    See citations under working paper version above.
  8. S. Bogan Aruoba & Pablo Cuba-Borda & Kenji Higa-Flores & Frank Schorfheide & Sergio Villalvazo, 2021. "Piecewise-Linear Approximations and Filtering for DSGE Models with Occasionally Binding Constraints," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 41, pages 96-120, July.
    See citations under working paper version above.
  9. Laura Liu & Hyungsik Roger Moon & Frank Schorfheide, 2020. "Forecasting With Dynamic Panel Data Models," Econometrica, Econometric Society, vol. 88(1), pages 171-201, January.
    See citations under working paper version above.
  10. Herbst, Edward & Schorfheide, Frank, 2019. "Tempered particle filtering," Journal of Econometrics, Elsevier, vol. 210(1), pages 26-44.
    See citations under working paper version above.
  11. Eleonora Granziera & Hyungsik Roger Moon & Frank Schorfheide, 2018. "Inference for VARs identified with sign restrictions," Quantitative Economics, Econometric Society, vol. 9(3), pages 1087-1121, November.
    See citations under working paper version above.
  12. Frank Schorfheide & Dongho Song & Amir Yaron, 2018. "Identifying Long‐Run Risks: A Bayesian Mixed‐Frequency Approach," Econometrica, Econometric Society, vol. 86(2), pages 617-654, March.
    See citations under working paper version above.
  13. Ross Askanazi & Francis X. Diebold & Frank Schorfheide & Minchul Shin, 2018. "On the Comparison of Interval Forecasts," Journal of Time Series Analysis, Wiley Blackwell, vol. 39(6), pages 953-965, November.
    See citations under working paper version above.
  14. S Borağan Aruoba & Pablo Cuba-Borda & Frank Schorfheide, 2018. "Macroeconomic Dynamics Near the ZLB: A Tale of Two Countries," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 85(1), pages 87-118.
    See citations under working paper version above.
  15. Aruoba, S. Borağan & Bocola, Luigi & Schorfheide, Frank, 2017. "Assessing DSGE model nonlinearities," Journal of Economic Dynamics and Control, Elsevier, vol. 83(C), pages 34-54.
    See citations under working paper version above.
  16. Diebold, Francis X. & Schorfheide, Frank & Shin, Minchul, 2017. "Real-time forecast evaluation of DSGE models with stochastic volatility," Journal of Econometrics, Elsevier, vol. 201(2), pages 322-332.
    See citations under working paper version above.
  17. Xu Cheng & Zhipeng Liao & Frank Schorfheide, 2016. "Shrinkage Estimation of High-Dimensional Factor Models with Structural Instabilities," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 83(4), pages 1511-1543.
    See citations under working paper version above.
  18. Aruoba, S. Borağan & Diebold, Francis X. & Nalewaik, Jeremy & Schorfheide, Frank & Song, Dongho, 2016. "Improving GDP measurement: A measurement-error perspective," Journal of Econometrics, Elsevier, vol. 191(2), pages 384-397.
    See citations under working paper version above.
  19. Schorfheide, Frank & Wolpin, Kenneth I., 2016. "To hold out or not to hold out," Research in Economics, Elsevier, vol. 70(2), pages 332-345.
    See citations under working paper version above.
  20. Del Negro, Marco & Hasegawa, Raiden B. & Schorfheide, Frank, 2016. "Dynamic prediction pools: An investigation of financial frictions and forecasting performance," Journal of Econometrics, Elsevier, vol. 192(2), pages 391-405.
    See citations under working paper version above.
  21. Frank Schorfheide & Dongho Song, 2015. "Real-Time Forecasting With a Mixed-Frequency VAR," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 33(3), pages 366-380, July.
    See citations under working paper version above.
  22. Marco Del Negro & Marc P. Giannoni & Frank Schorfheide, 2015. "Inflation in the Great Recession and New Keynesian Models," American Economic Journal: Macroeconomics, American Economic Association, vol. 7(1), pages 168-196, January.
    See citations under working paper version above.
  23. Edward Herbst & Frank Schorfheide, 2014. "Sequential Monte Carlo Sampling For Dsge Models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 29(7), pages 1073-1098, November.
    See citations under working paper version above.
  24. Yongsung Chang & Sun-Bin Kim & Frank Schorfheide, 2013. "Labor-Market Heterogeneity, Aggregation, And Policy (In)Variance Of Dsge Model Parameters," Journal of the European Economic Association, European Economic Association, vol. 11, pages 193-220, January.
    See citations under working paper version above.
  25. Chen, Fei & Diebold, Francis X. & Schorfheide, Frank, 2013. "A Markov-switching multifractal inter-trade duration model, with application to US equities," Journal of Econometrics, Elsevier, vol. 177(2), pages 320-342.
    See citations under working paper version above.
  26. Hyungsik Roger Moon & Frank Schorfheide, 2012. "Bayesian and Frequentist Inference in Partially Identified Models," Econometrica, Econometric Society, vol. 80(2), pages 755-782, March.
    See citations under working paper version above.
  27. Ríos-Rull, José-Víctor & Schorfheide, Frank & Fuentes-Albero, Cristina & Kryshko, Maxym & Santaeulàlia-Llopis, Raül, 2012. "Methods versus substance: Measuring the effects of technology shocks," Journal of Monetary Economics, Elsevier, vol. 59(8), pages 826-846.

    Cited by:

    1. Koh, Dongya & Santaeulà lia-Llopis, Raül, 2022. "Countercyclical Elasticity of Substitution," CEPR Discussion Papers 17246, C.E.P.R. Discussion Papers.
    2. S. Boragan Aruoba & Luigi Bocola & Frank Schorfheide, 2013. "Assessing DSGE model nonlinearities," Working Papers 13-47, Federal Reserve Bank of Philadelphia.
    3. S. BoraÄŸan Aruoba & Pablo Cuba-Borda & Frank Schorfheide, 2012. "Macroeconomic Dynamics Near the ZLB: A Tale of Two Countries," PIER Working Paper Archive 14-035, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania, revised 19 Jun 2014.
    4. Schorfheide, Frank & Aruoba, Boragan & Cuba-Borda, Pablo & Hilga-Flores, Kenji & Villalvazo, Sergio, 2020. "Piecewise-Linear Approximations and Filtering for DSGE Models with Occasionally Binding Constraints," CEPR Discussion Papers 15388, C.E.P.R. Discussion Papers.
    5. Niu, Tong & Yao, Xilong & Shao, Shuai & Li, Ding & Wang, Wenxi, 2018. "Environmental tax shocks and carbon emissions: An estimated DSGE model," Structural Change and Economic Dynamics, Elsevier, vol. 47(C), pages 9-17.
    6. Marco Cozzi, 2022. "Heterogeneity in Macroeconomics and the Minimal Econometric Interpretation for Model Comparison," Department Discussion Papers 2010, Department of Economics, University of Victoria.
    7. Francesco Bianchi & Leonardo Melosi, 2012. "Constrained Discretion and Central Bank Transparency," PIER Working Paper Archive 13-031, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.
    8. Parra-Alvarez, Juan Carlos & Posch, Olaf & Wang, Mu-Chun, 2020. "Estimation of heterogeneous agent models: A likelihood approach," Discussion Papers 42/2020, Deutsche Bundesbank.
    9. Molinari Benedetto & Rodríguez-López Jesús & Torres José L., 2013. "Information and communication technologies over the business cycle," The B.E. Journal of Macroeconomics, De Gruyter, vol. 13(1), pages 933-963, July.
    10. Yongsung Chang & Sun-Bin Kim & Frank Schorfheide, 2010. "Labor-Market Heterogeneity, Aggregation, and the Lucas Critique," NBER Working Papers 16401, National Bureau of Economic Research, Inc.
    11. Luigi Bocola, 2014. "The Pass-Through of Sovereign Risk," 2014 Meeting Papers 1286, Society for Economic Dynamics.
    12. Furlanetto, Francesco & Natvik, Gisle J. & Seneca, Martin, 2013. "Investment shocks and macroeconomic co-movement," Journal of Macroeconomics, Elsevier, vol. 37(C), pages 208-216.
    13. Koh, Dongya; Santaeulàlia-Llopis, Raül; Zheng, Yu, 2015. "Labor share decline and intellectual property products capital," Economics Working Papers ECO2015/05, European University Institute.
    14. Moura, Alban, 2020. "Total factor productivity and the measurement of neutral technology," MPRA Paper 99357, University Library of Munich, Germany.
    15. Alban Moura, 2018. "Investment Shocks, Sticky Prices, and the Endogenous Relative Price of Investment," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 27, pages 48-63, January.
    16. Benjamin Born & Johannes Pfeifer, 2013. "Policy Risk and the Business Cycle," CESifo Working Paper Series 4336, CESifo.
    17. Belongia, Michael T. & Ireland, Peter N., 2022. "A reconsideration of money growth rules," Journal of Economic Dynamics and Control, Elsevier, vol. 135(C).
    18. Stylianos Asimakopoulos & James Malley & Apostolis Philippopoulos, 2024. "The Firm-level and Aggregate E¤ects of Corporate Payout Policy," Working Papers 2024_13, Business School - Economics, University of Glasgow.
    19. Yashar Blouri, Maximilian von Ehrlich, 2017. "On the optimal design of place-based policies: A structural evaluation of EU regional transfers," Diskussionsschriften credresearchpaper17, Universitaet Bern, Departement Volkswirtschaft - CRED.
    20. Cristiano Cantore & Filippo Ferroni & Miguel A. León-Ledesma, 2012. "The dynamics of hours worked and technology," Working Papers 1238, Banco de España.
    21. Julieta Caunedo, 2014. "Aggregate Fluctuations and the Industry Structure of the US Economy," 2014 Meeting Papers 1194, Society for Economic Dynamics.
    22. Marcus Hagedorn & Iourii Manovskii & Sergiy Stetsenko, 2016. "Taxation and Unemployment in Models with Heterogeneous Workers," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 19, pages 161-189, January.
    23. Callum Jones, 2023. "Aging, Secular Stagnation, and the Business Cycle," The Review of Economics and Statistics, MIT Press, vol. 105(6), pages 1580-1595, November.
    24. Sergey Ivashchenko & Willi Mutschler, 2019. "The effect of observables, functional specifications, model features and shocks on identification in linearized DSGE models," CQE Working Papers 8319, Center for Quantitative Economics (CQE), University of Muenster.
    25. Lan, Hong & Meyer-Gohde, Alexander, 2014. "Decomposing Risk in Dynamic Stochastic General Equilibrium," VfS Annual Conference 2014 (Hamburg): Evidence-based Economic Policy 100523, Verein für Socialpolitik / German Economic Association.
    26. Juan Carlos Parra-Alvarez & Olaf Posch & Mu-Chun Wang, 2017. "Identification and estimation of heterogeneous agent models: A likelihood approach," CREATES Research Papers 2017-35, Department of Economics and Business Economics, Aarhus University.
    27. Enrique Martínez-García, 2015. "The Global Component of Local Inflation: Revisiting the Empirical Content of the Global Slack Hypothesis with Bayesian Methods," International Symposia in Economic Theory and Econometrics, in: Monetary Policy in the Context of the Financial Crisis: New Challenges and Lessons, volume 24, pages 51-112, Emerald Group Publishing Limited.
    28. Stephen Morris, 2014. "The Statistical Implications of Common Identifying Restrictions for DSGE Models," 2014 Meeting Papers 738, Society for Economic Dynamics.
    29. Valerio Scalone, 2018. "Estimating Non-Linear DSGEs with the Approximate Bayesian Computation: an application to the Zero Lower Bound," Working papers 688, Banque de France.
    30. Mennuni, Alessandro, 2019. "The aggregate implications of changes in the labour force composition," European Economic Review, Elsevier, vol. 116(C), pages 83-106.
    31. Enrique Martínez García & Mark A. Wynne, 2014. "Assessing Bayesian model comparison in small samples," Globalization Institute Working Papers 189, Federal Reserve Bank of Dallas.
    32. Rubio-Ramírez, Juan Francisco & Schorfheide, Frank & Fernández-Villaverde, Jesús, 2015. "Solution and Estimation Methods for DSGE Models," CEPR Discussion Papers 11032, C.E.P.R. Discussion Papers.
    33. Andreas Bachmann, 2015. "Lumpy investment and variable capacity utilization: firm-level and macroeconomic implications," Diskussionsschriften dp1510, Universitaet Bern, Departement Volkswirtschaft.
    34. Yantao Gao & Xilong Yao & Wenxi Wang & Xin Liu, 2019. "Dynamic effect of environmental tax on export trade: Based on DSGE mode," Energy & Environment, , vol. 30(7), pages 1275-1290, November.
    35. Juan Carlos Parra‐Alvarez & Olaf Posch & Mu‐Chun Wang, 2023. "Estimation of Heterogeneous Agent Models: A Likelihood Approach," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 85(2), pages 304-330, April.
    36. Weidong Huo & Xiaoxian Chen & Lan Bo & Fangyong Luo, 2024. "Navigating Global Monetary Interdependencies: A Comprehensive Analysis of ECB Rate Hikes on China’s Technology-Driven Economy," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 15(4), pages 18081-18115, December.
    37. S. Bogan Aruoba & Pablo Cuba-Borda & Kenji Higa-Flores & Frank Schorfheide & Sergio Villalvazo, 2021. "Online Appendix to "Piecewise-Linear Approximations and Filtering for DSGE Models with Occasionally Binding Constraints"," Online Appendices 20-14, Review of Economic Dynamics.
    38. James Malley & Apostolis Philippopoulos & Jim Malley, 2022. "The Macroeconomic Effects of Funding U.S. Infrastructure," CESifo Working Paper Series 9530, CESifo.
    39. Kociecki, Andrzej, 2013. "Bayesian Approach and Identification," MPRA Paper 46538, University Library of Munich, Germany.
    40. Colombo, Emilio & Furceri, Davide & Pizzuto, Pietro & Tirelli, Patrizio, 2024. "Public expenditure multipliers and informality," European Economic Review, Elsevier, vol. 164(C).

  28. Frank Schorfheide, 2012. "EconomicDynamics Interviews Frank Schorfheide on DSGE Model Estimation," EconomicDynamics Newsletter, Review of Economic Dynamics, vol. 13(2), April.

    Cited by:

    1. Alexandros P. Bechlioulis & Sophocles N. Brissimis, 2021. "Are household consumption decisions affected by past due unsecured debt? Theory and evidence," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(2), pages 3040-3053, April.

  29. Herbst, Edward & Schorfheide, Frank, 2012. "Evaluating DSGE model forecasts of comovements," Journal of Econometrics, Elsevier, vol. 171(2), pages 152-166.
    See citations under working paper version above.
  30. Frank Schorfheide & Kenneth I. Wolpin, 2012. "On the Use of Holdout Samples for Model Selection," American Economic Review, American Economic Association, vol. 102(3), pages 477-481, May.

    Cited by:

    1. Frank Schorfheide & Kenneth I. Wolpin, 2013. "To Hold Out or Not to Hold Out," NBER Working Papers 19565, National Bureau of Economic Research, Inc.
    2. Chen, Xiaomeng Charlene & Jones, Stewart & Hasan, Mostafa Monzur & Zhao, Ruoyun & Alam, Nurul, 2023. "Does strategic deviation influence firms’ use of supplier finance?," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 85(C).
    3. Emrah Arbak, 2017. "Identifying the provisioning policies of Belgian banks," Working Paper Research 326, National Bank of Belgium.
    4. Maibom, Jonas, 2021. "The Danish Labor Market Experiments: Methods and Findings," Nationaløkonomisk tidsskrift, Nationaløkonomisk Forening, vol. 2021(1), pages 1-21.
    5. Sebastian Galiani & Juan Pantano, 2021. "Structural Models: Inception and Frontier," NBER Working Papers 28698, National Bureau of Economic Research, Inc.
    6. Merlo, Antonio & Palfrey, Thomas R., 2014. "External Validation of Voter Turnout Models by Concealed Parameter Recovery," Working Papers 14-015, Rice University, Department of Economics.
    7. Paul Duetting & Michal Feldman & Tomasz Ponitka & Ermis Soumalias, 2025. "The Pseudo-Dimension of Contracts," Papers 2501.14474, arXiv.org.
    8. Joel da Costa & Tim Gebbie, 2020. "Learning low-frequency temporal patterns for quantitative trading," Papers 2008.09481, arXiv.org.
    9. Wolfgang Drobetz & Tizian Otto, 2021. "Empirical asset pricing via machine learning: evidence from the European stock market," Journal of Asset Management, Palgrave Macmillan, vol. 22(7), pages 507-538, December.
    10. de Bresser, Jochem, 2021. "Evaluating the Accuracy of Counterfactuals The Role of Heterogeneous Expectations in Life Cycle Models," Other publications TiSEM a7e2b4d8-fed0-4e86-926f-d, Tilburg University, School of Economics and Management.
    11. Hui Chen & Winston Wei Dou & Leonid Kogan, 2024. "Measuring “Dark Matter” in Asset Pricing Models," Journal of Finance, American Finance Association, vol. 79(2), pages 843-902, April.
    12. de Bresser, Jochem, 2021. "Evaluating the Accuracy of Counterfactuals The Role of Heterogeneous Expectations in Life Cycle Models," Discussion Paper 2021-034, Tilburg University, Center for Economic Research.
    13. Banghua Zhu & Sai Praneeth Karimireddy & Jiantao Jiao & Michael I. Jordan, 2023. "Online Learning in a Creator Economy," Papers 2305.11381, arXiv.org.
    14. Banghua Zhu & Stephen Bates & Zhuoran Yang & Yixin Wang & Jiantao Jiao & Michael I. Jordan, 2022. "The Sample Complexity of Online Contract Design," Papers 2211.05732, arXiv.org, revised May 2023.
    15. Cepeda Carrión, Gabriel & Henseler, Jörg & Ringle, Christian M. & Roldán, José Luis, 2016. "Prediction-oriented modeling in business research by means of PLS path modeling: Introduction to a JBR special section," Journal of Business Research, Elsevier, vol. 69(10), pages 4545-4551.

  31. S. Boragan Aruoba & Frank Schorfheide, 2011. "Sticky Prices versus Monetary Frictions: An Estimation of Policy Trade-Offs," American Economic Journal: Macroeconomics, American Economic Association, vol. 3(1), pages 60-90, January.
    See citations under working paper version above.
  32. Schorfheide, Frank & Sill, Keith & Kryshko, Maxym, 2010. "DSGE model-based forecasting of non-modelled variables," International Journal of Forecasting, Elsevier, vol. 26(2), pages 348-373, April.
    See citations under working paper version above.
  33. Moon, Hyungsik Roger & Schorfheide, Frank, 2009. "Estimation with overidentifying inequality moment conditions," Journal of Econometrics, Elsevier, vol. 153(2), pages 136-154, December.

    Cited by:

    1. Michael Boutros, 2022. "Windfall Income Shocks with Finite Planning Horizons," Staff Working Papers 22-40, Bank of Canada.
    2. João Madeira & Nuno Palma, 2018. "Measuring Monetary Policy Deviations from the Taylor Rule," Economics Discussion Paper Series 1803, Economics, The University of Manchester.
    3. Chaudhuri, Saraswata & Zivot, Eric, 2011. "A new method of projection-based inference in GMM with weakly identified nuisance parameters," Journal of Econometrics, Elsevier, vol. 164(2), pages 239-251, October.
    4. Ratbek Dzhumashev & Ainura Tursunalieva, 2025. "A test for instrumental variable validity using a correlation restriction," Monash Economics Working Papers 2025-06, Monash University, Department of Economics.
    5. Yu‐Chin Hsu & Xiaoxia Shi, 2017. "Model‐selection tests for conditional moment restriction models," Econometrics Journal, Royal Economic Society, vol. 20(1), pages 52-85, February.
    6. Jun Cai & Qu Feng & William C. Horrace & Guiying Laura Wu, 2021. "Wrong skewness and finite sample correction in the normal-half normal stochastic frontier model," Empirical Economics, Springer, vol. 60(6), pages 2837-2866, June.
    7. Timothy B. Armstrong & Michal Kolesár, 2020. "Sensitivity Analysis using Approximate Moment Condition Models," Working Papers 2020-28, Princeton University. Economics Department..
    8. Laura Coroneo & Valentina Corradi & Paulo Santos Monteiro, 2018. "Testing for optimal monetary policy via moment inequalities," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 33(6), pages 780-796, September.
    9. Fack, Gabrielle & Grenet, Julien & He, Yinghua, 2015. "Beyond Truth-Telling: Preference Estimation with Centralized School Choice and College Admissions," TSE Working Papers 15-607, Toulouse School of Economics (TSE), revised Sep 2017.
    10. Thomas H. Jørgensen, 2016. "Euler equation estimation: Children and credit constraints," Quantitative Economics, Econometric Society, vol. 7(3), pages 935-968, November.
    11. Nicky L. Grant & Richard J. Smith, 2018. "GEL-based inference with unconditional moment inequality restrictions," CeMMAP working papers 23/18, Institute for Fiscal Studies.
    12. Francis J. DiTraglia & Camilo García-Jimeno, 2017. "Mis-classified, Binary, Endogenous Regressors: Identification and Inference," NBER Working Papers 23814, National Bureau of Economic Research, Inc.
    13. Marine Carrasco & N'Golo Koné, 2023. "Test for Trading Costs Effect in a Portfolio Selection Problem with Recursive Utility," CIRANO Working Papers 2023s-03, CIRANO.
    14. Kleiber Christian & Zeileis Achim, 2013. "Reproducible Econometric Simulations," Journal of Econometric Methods, De Gruyter, vol. 2(1), pages 89-99, July.
    15. Jason Allen & Robert Clark & Brent R. Hickman & Eric Richert, 2022. "Resolving Failed Banks: Uncertainty, Multiple Bidding & Auction Design," Working Paper 1422, Economics Department, Queen's University.
    16. Nicky L. Grant & Richard J. Smith, 2018. "GEL-based inference with unconditional moment inequality restrictions," CeMMAP working papers CWP23/18, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    17. Ralph Koijen & Motohiro Yogo, 2022. "The Fragility of Market Risk Insurance," Working Papers 2022-3, Princeton University. Economics Department..
    18. Francis DiTraglia & Camilo Garcia-Jimeno, 2015. "A Framework for Eliciting, Incorporating, and Disciplining Identification Beliefs in Linear Models, Third Version," PIER Working Paper Archive 15-030, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania, revised 09 Sep 2015.
    19. He, Yinghua, 2015. "Gaming the Boston School Choice Mechanism in Beijing," TSE Working Papers 15-551, Toulouse School of Economics (TSE), revised Sep 2017.
    20. Shi, Xiaoxia, 2015. "Model selection tests for moment inequality models," Journal of Econometrics, Elsevier, vol. 187(1), pages 1-17.
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  34. Marco Del Negro & Frank Schorfheide, 2009. "Monetary Policy Analysis with Potentially Misspecified Models," American Economic Review, American Economic Association, vol. 99(4), pages 1415-1450, September.
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  35. Schorfheide, Frank, 2008. "Comment on: "Monetary policy under uncertainty in an estimated model with labor market frictions" by Luca Sala, Ulf Söderström, and Antonella Trigari," Journal of Monetary Economics, Elsevier, vol. 55(5), pages 1007-1010, July.

    Cited by:

    1. Raissi, M., 2011. "A Linear Quadratic Approach to Optimal Monetary Policy with Unemployment and Sticky Prices: The Case of a Distorted Steady State," Cambridge Working Papers in Economics 1146, Faculty of Economics, University of Cambridge.
    2. SENBATA, Sisay Regassa, 2011. "How applicable are the new Keynesian DSGE models to a typical low-income economy?," Working Papers 2011016, University of Antwerp, Faculty of Business and Economics.
    3. Mr. Cristiano Cantore & Mr. Paul L Levine & Mr. Giovanni Melina, 2013. "A Fiscal Stimulus and Jobless Recovery," IMF Working Papers 2013/017, International Monetary Fund.

  36. Del Negro, Marco & Schorfheide, Frank, 2008. "Forming priors for DSGE models (and how it affects the assessment of nominal rigidities)," Journal of Monetary Economics, Elsevier, vol. 55(7), pages 1191-1208, October.
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  37. Frank Schorfheide, 2008. "DSGE model-based estimation of the New Keynesian Phillips curve," Economic Quarterly, Federal Reserve Bank of Richmond, vol. 94(Fall), pages 397-433.

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    1. José R. Maria & Paulo Júlio, 2017. "The Portuguese post-2008 period: A narrative from an estimated DSGE model," Working Papers w201715, Banco de Portugal, Economics and Research Department.
    2. Canova, Fabio & Matthes, Christian, 2018. "A composite likelihood approach for dynamic structural models," CEPR Discussion Papers 13245, C.E.P.R. Discussion Papers.
    3. Desogus, Marco & Casu, Elisa, 2022. "Chaos, granularity, and instability in economic systems of countries with emerging market economies: relationships between GDP growth rate and increasing internal inequality," MPRA Paper 115744, University Library of Munich, Germany, revised 2022.
    4. Hommes, C.H. & Lustenhouwer, J., 2016. "Managing Heterogeneous and Unanchored Expectations: A Monetary Policy Analysis," CeNDEF Working Papers 16-01, Universiteit van Amsterdam, Center for Nonlinear Dynamics in Economics and Finance.
    5. Paciello, Luigi & Michelacci, Claudio, 2017. "Ambiguous Policy Announcements," CEPR Discussion Papers 11754, C.E.P.R. Discussion Papers.
    6. Giovanni Angelini & Marco M. Sorge, 2021. "Under the same (Chole)sky: DNK models, timing restrictions and recursive identification of monetary policy shocks," Working Papers wp1160, Dipartimento Scienze Economiche, Universita' di Bologna.
    7. Engin Kara, 2009. "Micro data on nominal rigidity, inflation persistence and optimal monetary policy," Working Paper Research 175, National Bank of Belgium.
    8. Greg Kaplan & Benjamin Moll & Giovanni L. Violante, 2016. "Monetary Policy According to HANK," Working Papers 1602, Council on Economic Policies.
    9. Komlan Olakossan GBEGNON & Mikémina PILO & Kounagbè Odilon Boris LOKONON, 2025. "Climate-driven monetary policy: a new Keynesian DSGE analysis for Ghana," Theoretical and Applied Economics, Asociatia Generala a Economistilor din Romania / Editura Economica, vol. 0(3(644), A), pages 203-216, Autumn.
    10. Jordan Roulleau-Pasdeloup & Anastasia Zhutova, 2015. "Labor Market Policies and the "Missing Deflation" Puzzle: Lessons from Hoover Policies during the U.S Great Depression," Cahiers de Recherches Economiques du Département d'économie 15.05, Université de Lausanne, Faculté des HEC, Département d’économie.
    11. Francis Leni Anguyo & Rangan Gupta & Kevin Kotze, 2017. "Inflation Dynamics in Uganda: A Quantile Regression Approach," School of Economics Macroeconomic Discussion Paper Series 2017-07, School of Economics, University of Cape Town.
    12. Lanne, Markku & Luoto, Jani, 2011. "Autoregression-Based Estimation of the New Keynesian Phillips Curve," MPRA Paper 29801, University Library of Munich, Germany.
    13. Stefan Leist & Klaus Neusser, 2010. "Measuring the Natural Output Level by DSGE Models: An Empirical Investigation for Switzerland," Swiss Journal of Economics and Statistics (SJES), Swiss Society of Economics and Statistics (SSES), vol. 146(I), pages 275-300, March.
    14. Vasco Curdia & Andrea Ferrero & Ging Cee Ng & Andrea Tambalotti, 2014. "Has U.S. Monetary Policy Tracked the Efficient Interest Rate?," Working Paper Series 2014-12, Federal Reserve Bank of San Francisco.
    15. Carlos C. Bautista, 2009. "An examination of Philippine monetary policy rules," UP School of Economics Discussion Papers 200912, University of the Philippines School of Economics.
    16. Francesco Giuli & Massimiliano Tancioni, 2012. "Prince-setting, monetary policy and the contractionary effects of productivity improvements," Departmental Working Papers of Economics - University 'Roma Tre' 0161, Department of Economics - University Roma Tre.
    17. Foroni, Claudia & Gelain, Paolo & Marcellino, Massimiliano, 2022. "The financial accelerator mechanism: does frequency matter?," Working Paper Series 2637, European Central Bank.
    18. Edward P. Herbst & Frank Schorfheide, 2012. "Evaluating DSGE model forecasts of comovements," Finance and Economics Discussion Series 2012-11, Board of Governors of the Federal Reserve System (U.S.).
    19. Cagliarini, Adam & Robinson, Tim & Tran, Allen, 2011. "Reconciling microeconomic and macroeconomic estimates of price stickiness," Journal of Macroeconomics, Elsevier, vol. 33(1), pages 102-120, March.
    20. Kukacka, Jiri & Sacht, Stephen, 2023. "Estimation of heuristic switching in behavioral macroeconomic models," Journal of Economic Dynamics and Control, Elsevier, vol. 146(C).
    21. Tim Willems, 2009. "Visualizing the Invisible: Estimating the New Keynesian Output Gap via a Bayesian Approach," Tinbergen Institute Discussion Papers 09-074/2, Tinbergen Institute, revised 26 Mar 2010.
    22. Sarah Fischer & Christian Glocker & Serguei Kaniovski & Philipp Wegmüller, 2024. "Assessing the Potential Output for Switzerland: Determinants, Trends and Drivers," Journal of Business Cycle Research, Springer;Centre for International Research on Economic Tendency Surveys (CIRET), vol. 20(2), pages 297-338, July.
    23. Kim, Insu, 2009. "Dual Wage Rigidities: Theory and Some Evidence," MPRA Paper 21494, University Library of Munich, Germany, revised Mar 2010.
    24. Sacht, Stephen & Franke, Reiner & Jang, Tae-Seok, 2013. "Moment Matching versus Bayesian Estimation: Backward-Looking Behaviour in a New-Keynesian Baseline Model," VfS Annual Conference 2013 (Duesseldorf): Competition Policy and Regulation in a Global Economic Order 79694, Verein für Socialpolitik / German Economic Association.
    25. Michael U. Krause & Stéphane Moyen, 2016. "Public Debt and Changing Inflation Targets," American Economic Journal: Macroeconomics, American Economic Association, vol. 8(4), pages 142-176, October.
    26. Kiefer, David, 2015. "Targets and lags in a two-equation model of US stabilization," Economic Modelling, Elsevier, vol. 44(C), pages 18-24.
    27. Dominik Hecker & Maik Wolters & Maik H. Wolters, 2025. "Nonlinear Estimation of a New Keynesian Model with Endogenous Inflation De-Anchoring," CESifo Working Paper Series 12280, CESifo.
    28. Dufour, Jean-Marie & Khalaf, Lynda & Kichian, Maral, 2013. "Identification-robust analysis of DSGE and structural macroeconomic models," Journal of Monetary Economics, Elsevier, vol. 60(3), pages 340-350.
    29. Kim, Insu & Yie, Myung-Soo, 2016. "Trend inflation, firms' backward-looking behavior, and inflation gap persistence," Economic Modelling, Elsevier, vol. 58(C), pages 116-125.
    30. Min Fang, 2021. "Lumpy Investment, Fluctuations in Volatility and Monetary Policy," Working Papers 002001, University of Florida, Department of Economics.
    31. Crowley, Patrick M. & Hallett, Andrew Hughes, 2018. "What causes business cycles to elongate, or recessions to intensify?," Journal of Macroeconomics, Elsevier, vol. 57(C), pages 338-349.
    32. Bernstein, Joshua, 2021. "A model of state-dependent monetary policy," Journal of Monetary Economics, Elsevier, vol. 117(C), pages 904-917.
    33. R Anton Braun & Lena Koerber & Yuichiro Waki, 2015. "Some Unpleasant Properties of Loglinearized Solutions When the Nominal Rate is Zero," Bank of England working papers 553, Bank of England.
    34. Orland, Andreas & Roos, Michael W. M., 2011. "The New Keynesian Phillips Curve with Myopic Agents," Ruhr Economic Papers 281, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    35. Leonardo Melosi, 2009. "A Likelihood Analysis of Models with Information Frictions," 2009 Meeting Papers 1034, Society for Economic Dynamics.
    36. Aminu, Nasir, 2019. "Energy prices volatility and the United Kingdom: Evidence from a dynamic stochastic general equilibrium model," Energy, Elsevier, vol. 172(C), pages 487-497.
    37. Reiner Franke, 2018. "Competitive moment matching of a New-Keynesian and an Old-Keynesian model," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 13(2), pages 201-239, July.
    38. Stephanie Schmitt-Grohe & Martin Uribe, 2008. "Policy implications of the New Keynesian Phillips curve," Economic Quarterly, Federal Reserve Bank of Richmond, vol. 94(Fall), pages 435-465.
    39. Orland, Andreas & Roos, Michael W.M., 2019. "Price-setting with quadratic adjustment costs: Experimental evidence," Journal of Economic Behavior & Organization, Elsevier, vol. 163(C), pages 88-116.
    40. Francesco Giuli & Massimiliano Tancioni, 2010. "Contractionary Effects of Supply Shocks: Evidence and Theoretical Interpretation," Working Papers in Public Economics 131, Department of Economics and Law, Sapienza University of Roma.
    41. Jang, Bosung & So, Inhwan, 2024. "Stock returns and monetary policy stance," International Review of Economics & Finance, Elsevier, vol. 92(C), pages 851-869.
    42. Chen, Yao & Ward, Felix, 2019. "When do fixed exchange rates work? Evidence from the Gold Standard," Journal of International Economics, Elsevier, vol. 116(C), pages 158-172.
    43. Leland E. Farmer, 2021. "The discretization filter: A simple way to estimate nonlinear state space models," Quantitative Economics, Econometric Society, vol. 12(1), pages 41-76, January.
    44. Jinting Guo, 2025. "On the Identification of Diagnostic Expectations: Econometric Insights from DSGE Models," Papers 2509.08472, arXiv.org, revised Sep 2025.

  38. Thomas A. Lubik & Frank Schorfheide, 2007. "Testing for Indeterminacy: An Application to U.S. Monetary Policy: Reply," American Economic Review, American Economic Association, vol. 97(1), pages 530-533, March.

    Cited by:

    1. Doko Tchatoka, Firmin & Groshenny, Nicolas & Haque, Qazi & Weder, Mark, 2017. "Monetary policy and indeterminacy after the 2001 slump," Journal of Economic Dynamics and Control, Elsevier, vol. 82(C), pages 83-95.
    2. Hirose, Yasuo, 2010. "Monetary policy and sunspot fluctuation in the U.S. and the Euro area," MPRA Paper 33693, University Library of Munich, Germany.
    3. Qazi Haque, 2017. "Monetary Policy, Inflation Target and the Great Moderation: An Empirical Investigation," School of Economics and Public Policy Working Papers 2017-13, University of Adelaide, School of Economics and Public Policy.
    4. Konstantinos Chisiridis & Kostas Mouratidis & Theodore Panagiotidis, 2020. "The North-South Divide, the Euro and the Worlds," GreeSE – Hellenic Observatory Papers on Greece and Southeast Europe 147, Hellenic Observatory, LSE.
    5. Qazi Haque, 2017. "Monetary Policy, Target Inflation and the Great Moderation: An Empirical Investigation," School of Economics and Public Policy Working Papers 2017-10, University of Adelaide, School of Economics and Public Policy.
    6. Fanelli, Luca, 2012. "Determinacy, indeterminacy and dynamic misspecification in linear rational expectations models," Journal of Econometrics, Elsevier, vol. 170(1), pages 153-163.
    7. Yasuo Hirose & Takushi Kurozumi & Willem Van Zandweghe, 2015. "Monetary policy, trend inflation, and the Great Moderation: an alternative interpretation: comment based on system estimation," Research Working Paper RWP 15-17, Federal Reserve Bank of Kansas City.
    8. Yasuo Hirose, 2008. "Equilibrium Indeterminacy and Asset Price Fluctuation in Japan: A Bayesian Investigation," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 40(5), pages 967-999, August.
    9. Franke, Reiner & Jang, Tae-Seok & Sacht, Stephen, 2011. "Moment matching versus Bayesian estimation: Backward-looking behaviour in the new-Keynesian three-equations model," Economics Working Papers 2011-10, Christian-Albrechts-University of Kiel, Department of Economics.
    10. Richard Higgins, C., 2020. "Financial frictions and changing macroeconomic volatility," Journal of Macroeconomics, Elsevier, vol. 64(C).
    11. Del Negro, Marco & Eusepi, Stefano, 2011. "Fitting observed inflation expectations," Journal of Economic Dynamics and Control, Elsevier, vol. 35(12), pages 2105-2131.

  39. Del Negro, Marco & Schorfheide, Frank & Smets, Frank & Wouters, Rafael, 2007. "On the Fit of New Keynesian Models," Journal of Business & Economic Statistics, American Statistical Association, vol. 25, pages 123-143, April.

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    1. Guerron-Quintana, Pablo A., 2011. "The implications of inflation in an estimated new Keynesian model," Journal of Economic Dynamics and Control, Elsevier, vol. 35(6), pages 947-962, June.
    2. Patrick F ve & Jean-Guillaume Sahuc, 2016. "In Search of the Transmission Mechanism of Fiscal Policy in the Euro Area," Working papers 585, Banque de France.
    3. Pietrunti, Mario & Signoretti, Federico M., 2020. "Unconventional monetary policy and household debt: The role of cash-flow effects," Journal of Macroeconomics, Elsevier, vol. 64(C).
    4. José R. Maria & Paulo Júlio, 2017. "The Portuguese post-2008 period: A narrative from an estimated DSGE model," Working Papers w201715, Banco de Portugal, Economics and Research Department.
    5. Jean-Guillaume Sahuc & Loick Dubois & Gauthier Vermandel, 2025. "A General Equilibrium Approach to Carbon Permit Banking," Working Papers hal-04861311, HAL.
    6. Holger Kraft & Claus Munk & Frank Thomas Seifried & Sebastian Wagner, 2017. "Consumption habits and humps," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 64(2), pages 305-330, August.
    7. Laura Liu & Hyungsik Roger Moon & Frank Schorfheide, 2019. "Forecasting with a Panel Tobit Model," CAEPR Working Papers 2019-005, Center for Applied Economics and Policy Research, Department of Economics, Indiana University Bloomington.
    8. Henzel, Steffen R. & Mayr, Johannes, 2013. "The mechanics of VAR forecast pooling—A DSGE model based Monte Carlo study," The North American Journal of Economics and Finance, Elsevier, vol. 24(C), pages 1-24.
    9. DI BARTOLOMEO, Giovanni & SERPIERI, Carolina, 2023. "Optimal monetary policy and the vintage-dependent price and wage Phillips curves: An international comparison," Working Papers 2023004, University of Antwerp, Faculty of Business and Economics.
    10. Chase Coleman & Spencer Lyon & Lilia Maliar & Serguei Maliar, 2021. "Matlab, Python, Julia: What to Choose in Economics?," Computational Economics, Springer;Society for Computational Economics, vol. 58(4), pages 1263-1288, December.
    11. Fair, Ray C., 2012. "Has macro progressed?," Journal of Macroeconomics, Elsevier, vol. 34(1), pages 2-10.
    12. Frank Schorfheide & Marco Del Negro, 2007. "Forming Priors for DSGE Models (and How It Affects the Assessment of Nominal Rigidities)," 2007 Meeting Papers 283, Society for Economic Dynamics.
    13. Zheng Liu & Daniel F. Waggoner & Tao Zha, 2007. "Asymmetric expectation effects of regime shifts and the Great Moderation," Working Papers 653, Federal Reserve Bank of Minneapolis.
    14. Francesca Monti, 2015. "Can a data-rich environment help identify the sources of model misspecification?," Discussion Papers 1505, Centre for Macroeconomics (CFM).
    15. Wolters, Maik H., 2013. "Evaluating point and density forecasts of DSGE models," Economics Working Papers 2013-03, Christian-Albrechts-University of Kiel, Department of Economics.
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    22. Harry Aginta & Masakazu Someya, 2022. "Regional economic structure and heterogeneous effects of monetary policy: evidence from Indonesian provinces," Journal of Economic Structures, Springer;Pan-Pacific Association of Input-Output Studies (PAPAIOS), vol. 11(1), pages 1-25, December.
    23. Meyer-Gohde, Alexander, 2014. "Risky linear approximations," SFB 649 Discussion Papers 2014-034, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk.
    24. Alejandro Justiniano & Giorgio E. Primiceri & Andrea Tambalotti, 2008. "Investment shocks and business cycles," Staff Reports 322, Federal Reserve Bank of New York.
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    26. Richard K. Crump & Stefano Eusepi & Domenico Giannone & Eric Qian & Argia M. Sbordone, 2021. "A Large Bayesian VAR of the United States Economy," Staff Reports 976, Federal Reserve Bank of New York.
    27. Michael Cai & Marco Del Negro & Marc Giannoni & Abhi Gupta & Pearl Li & Erica Moszkowski, 2018. "DSGE forecasts of the lost recovery," Staff Reports 844, Federal Reserve Bank of New York.
    28. Ms. Susan S. Yang & Ms. Nora Traum, 2010. "Monetary and Fiscal Policy Interactions in the Post-war U.S," IMF Working Papers 2010/243, International Monetary Fund.
    29. Le, Vo Phuong Mai & Matthews, Kent & Meenagh, David & Minford, Patrick & Xiao, Zhigui, 2013. "Banking and the Macroeconomy in China: A Banking Crisis Deferred?," Cardiff Economics Working Papers E2013/5, Cardiff University, Cardiff Business School, Economics Section.
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    32. Lindé, Jesper & Smets, Frank & Wouters, Rafael, 2016. "Challenges for Central Banks´ Macro Models," Working Paper Series 323, Sveriges Riksbank (Central Bank of Sweden).
    33. Alejandro Justiniano & Bruce Preston, 2006. "Can Structural Small Open Economy Models Account for the Influence of Foreign Disturbances?," 2006 Meeting Papers 479, Society for Economic Dynamics.
    34. Ferroni, Filippo, 2009. "Trend agnostic one step estimation of DSGE models," MPRA Paper 14550, University Library of Munich, Germany.
    35. Cristiano Cantore & Paul Levine & Joseph Pearlman & Bo Yang, 2014. "CES Technology and Business Cycle Fluctuations," School of Economics Discussion Papers 0414, School of Economics, University of Surrey.
    36. Bianchi, Francesco & Kung, Howard & Morales, Gonzalo, 2019. "Growth, slowdowns, and recoveries," Journal of Monetary Economics, Elsevier, vol. 101(C), pages 47-63.
    37. Martinez-Martin Jaime & Morris Richard & Onorante Luca & Piersanti Fabio Massimo, 2024. "Merging Structural and Reduced-Form Models for Forecasting," The B.E. Journal of Macroeconomics, De Gruyter, vol. 24(1), pages 399-437, January.
    38. Johanna Posch & Fabio Rumler, 2015. "Semi‐Structural Forecasting of UK Inflation Based on the Hybrid New Keynesian Phillips Curve," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 34(2), pages 145-162, March.
    39. Timmermann, Allan & Elliott, Graham, 2007. "Economic Forecasting," CEPR Discussion Papers 6158, C.E.P.R. Discussion Papers.
    40. Kolasa, Marcin & Rubaszek, Michał, 2014. "Forecasting with DSGE models with financial frictions," Dynare Working Papers 40, CEPREMAP.
    41. Cole, Stephen J. & Milani, Fabio, 2019. "The Misspecification Of Expectations In New Keynesian Models: A Dsge-Var Approach," Macroeconomic Dynamics, Cambridge University Press, vol. 23(3), pages 974-1007, April.
    42. Matteo Barigozzi & Matteo Luciani, 2017. "Common Factors, Trends, and Cycles in Large Datasets," Finance and Economics Discussion Series 2017-111, Board of Governors of the Federal Reserve System (U.S.).
    43. Barbara Rudolf & Mathias Zurlinden, 2014. "A compact open economy DSGE model for Switzerland," Economic Studies 2014-08, Swiss National Bank.
    44. Adjemian, Stéphane & Darracq Pariès, Matthieu & Moyen, Stéphane, 2008. "Towards a monetary policy evaluation framework," Working Paper Series 942, European Central Bank.
    45. Marcellino, Massimiliano & Kapetanios, George & Khalaf, Lynda, 2015. "Factor based identification-robust inference in IV regressions," CEPR Discussion Papers 10390, C.E.P.R. Discussion Papers.
    46. Marco del Negro & Frank Schorfheide, 2008. "Inflation Dynamics in a Small Open Economy Model Under Inflation Targeting: Some Evidence From Chile," Working Papers Central Bank of Chile 486, Central Bank of Chile.
    47. Christopher A. Sims, 2011. "Statistical Modeling of Monetary Policy and its Effects," Nobel Prize in Economics documents 2011-5, Nobel Prize Committee.
    48. Andrew Martinez, 2017. "Testing for Differences in Path Forecast Accuracy: Forecast-Error Dynamics Matter," Working Papers (Old Series) 1717, Federal Reserve Bank of Cleveland.
    49. Matthew Smith, 2012. "Estimating Nonlinear Economic Models Using Surrogate Transitions," 2012 Meeting Papers 494, Society for Economic Dynamics.
    50. Tatiana Kirsanova & Stephanus le Roux, 2013. "Commitment vs. discretion in the UK: An empirical investigation of the monetary and fiscal policy regime," Working Papers 2013_07, Business School - Economics, University of Glasgow.
    51. Angelini, Giovanni, 2020. "Bootstrap lag selection in DSGE models with expectations correction," Econometrics and Statistics, Elsevier, vol. 14(C), pages 38-48.
    52. Seonghoon Cho & Koen Inghelbrecht & Geert Bekaert & Antonio Moreno & Lieven Baele, 2011. "Macroeconomic Regimes," 2011 Meeting Papers 817, Society for Economic Dynamics.
    53. Marc Giannoni & Christina Patterson & Marco Del Negro, 2016. "The Forward Guidance Puzzle," 2016 Meeting Papers 143, Society for Economic Dynamics.
    54. Rossana Merola, 2013. "The role of financial frictions during the crisis: An estimated DSGE model," Working Paper Research 249, National Bank of Belgium.
    55. Costantini, Mauro & Gunter, Ulrich & Kunst, Robert M., 2014. "Forecast combinations in a DSGE-VAR lab," Economics Series 309, Institute for Advanced Studies.
    56. Carlos Garcia & Wildo Gonzalez, 2010. "Is more exchange rate intervention necessary in small open economies? The role of risk premium and commodity shocks," ILADES-UAH Working Papers inv248, Universidad Alberto Hurtado/School of Economics and Business.
    57. Federico Ravenna & Marcus Mølbak Ingholt, 2021. "The impact of inflation targeting: Testing the good luck hypothesis," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 54(1), pages 443-470, February.
    58. Stéphane Adjemian & Florian Pelgrin, 2008. "Un regard bayésien sur les modèles dynamiques de la macroéconomie," Economie & Prévision, La Documentation Française, vol. 0(2), pages 127-152.
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    1. Heresi, Rodrigo & Villacreces Villacis, Daniela, 2023. "From Macroeconomic Stability to Welfare: Optimizing Fiscal Rules in Commodity-Dependent Economies," IDB Publications (Working Papers) 13141, Inter-American Development Bank.
    2. Guerron-Quintana, Pablo A., 2011. "The implications of inflation in an estimated new Keynesian model," Journal of Economic Dynamics and Control, Elsevier, vol. 35(6), pages 947-962, June.
    3. Haider, Adnan & Khan, Safdar Ullah, 2008. "A Small Open Economy DSGE Model for Pakistan," MPRA Paper 12977, University Library of Munich, Germany, revised 17 Jan 2009.
    4. Patrick F ve & Jean-Guillaume Sahuc, 2016. "In Search of the Transmission Mechanism of Fiscal Policy in the Euro Area," Working papers 585, Banque de France.
    5. José R. Maria & Paulo Júlio, 2017. "The Portuguese post-2008 period: A narrative from an estimated DSGE model," Working Papers w201715, Banco de Portugal, Economics and Research Department.
    6. Ríos-Rull, José-Víctor & Schorfheide, Frank & Fuentes-Albero, Cristina & Kryshko, Maxym & Santaeulàlia-Llopis, Raül, 2012. "Methods versus substance: Measuring the effects of technology shocks," Journal of Monetary Economics, Elsevier, vol. 59(8), pages 826-846.
    7. Gehrke, Britta & Lechthaler, Wolfgang & Merkl, Christian, 2018. "The German Labor Market during the Great Recession: Shocks and Institutions," IZA Discussion Papers 11858, Institute of Labor Economics (IZA).
    8. Pawel Borys & Pawel Doligalski & Pawel Kopiec, 2021. "The Quantitative Importance of Technology and Demand Shocks for Unemployment Fluctuations in a Shopping Economy," Bristol Economics Discussion Papers 21/743, School of Economics, University of Bristol, UK.
    9. Pablo Cuba-Borda & Sanjay R. Singh, 2022. "Understanding Persistent ZLB: Theory and Assessment," Working Papers 346, University of California, Davis, Department of Economics.
    10. Andrzej Kocięcki & Marcin Kolasa, 2022. "A solution to the global identification problem in DSGE models," Working Papers 2022-01, Faculty of Economic Sciences, University of Warsaw.
    11. Pierre-Olivier Gourinchas & Thomas Philippon & Dimitri Vayanos, 2016. "The Analytics of the Greek Crisis," GreeSE – Hellenic Observatory Papers on Greece and Southeast Europe 100, Hellenic Observatory, LSE.
    12. Mădălin Viziniuc, 2017. "Potential Gains from Cooperation Between Monetary and Macroprudential Policies: The Case of an Emerging Economy," Eastern European Economics, Taylor & Francis Journals, vol. 55(5), pages 420-452, September.
    13. Liu, Philip, 2010. "Stabilization bias for a small open economy: The case of New Zealand," Journal of Macroeconomics, Elsevier, vol. 32(3), pages 921-935, September.
    14. Frank Schorfheide & Marco Del Negro, 2007. "Forming Priors for DSGE Models (and How It Affects the Assessment of Nominal Rigidities)," 2007 Meeting Papers 283, Society for Economic Dynamics.
    15. Barthélemy, Jean & Clerc, Laurent & Marx, Magali, 2011. "A two-pillar DSGE monetary policy model for the euro area," Economic Modelling, Elsevier, vol. 28(3), pages 1303-1316, May.
    16. Wolters, Maik H., 2013. "Evaluating point and density forecasts of DSGE models," Economics Working Papers 2013-03, Christian-Albrechts-University of Kiel, Department of Economics.
    17. Massimo Franchi & Paolo Paruolo, 2015. "Minimality of State Space Solutions of DSGE Models and Existence Conditions for Their VAR Representation," Computational Economics, Springer;Society for Computational Economics, vol. 46(4), pages 613-626, December.
    18. Marta Boczon, 2018. "Balanced Growth Approach to Forecasting Recessions," Working Paper 6487, Department of Economics, University of Pittsburgh.
    19. Efrem Castelnuovo, 2009. "Estimating the Evolution of Money's Role in the U.S. Monetary Business Cycle," "Marco Fanno" Working Papers 0103, Dipartimento di Scienze Economiche "Marco Fanno".
    20. Funke, Michael & Kirkby, Robert & Mihaylovski, Petar, 2018. "House prices and macroprudential policy in an estimated DSGE model of New Zealand," Journal of Macroeconomics, Elsevier, vol. 56(C), pages 152-171.
    21. Olaf Posch, 2007. "Structural estimation of jump-diffusion processes in macroeconomics," CREATES Research Papers 2007-23, Department of Economics and Business Economics, Aarhus University.
    22. Alexander Beames & Mariano Kulish & Nadine Yamout, 2022. "Fiscal Policy and the Slowdown in Trend Growth in an Open Economy," Working Papers 143, Red Nacional de Investigadores en Economía (RedNIE).
    23. Poutineau, Jean-Christophe & Vermandel, Gauthier, 2015. "Cross-border banking flows spillovers in the Eurozone: Evidence from an estimated DSGE model," Journal of Economic Dynamics and Control, Elsevier, vol. 51(C), pages 378-403.
    24. S. Boragan Aruoba & Luigi Bocola & Frank Schorfheide, 2013. "Assessing DSGE model nonlinearities," Working Papers 13-47, Federal Reserve Bank of Philadelphia.
    25. Gelfer, Sacha & Gibbs, Christopher G., 2023. "Measuring the effects of large-scale asset purchases: The role of international financial markets and the financial accelerator," Journal of International Money and Finance, Elsevier, vol. 131(C).
    26. Yilmazkuday, Hakan, 2012. "Business cycles through international shocks: A structural investigation," Economics Letters, Elsevier, vol. 115(3), pages 329-333.
    27. Alberto Ortiz Bolaños & Jacob Wishart, 2012. "Trend Shocks and Financial Frictions in Small Open Economies Modeling," Documentos de Investigación - Research Papers 5, CEMLA.
    28. S. BoraÄŸan Aruoba & Pablo Cuba-Borda & Frank Schorfheide, 2012. "Macroeconomic Dynamics Near the ZLB: A Tale of Two Countries," PIER Working Paper Archive 14-035, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania, revised 19 Jun 2014.
    29. Mr Steinbach & Pt Mathuloe & Bw Smit, 2009. "An Open Economy New Keynesian Dsge Model Of The South African Economy," South African Journal of Economics, Economic Society of South Africa, vol. 77(2), pages 207-227, June.
    30. Fève, Patrick & Matheron, Julien & Sahuc, Jean-Guillaume, 2009. "Une estimation de la cible implicite d’inflation dans la zone euro," TSE Working Papers 09-137, Toulouse School of Economics (TSE).
    31. Lanne, Markku & Luoma, Arto & Luoto, Jani, 2008. "A Naïve Sticky Information Model of Households’ Inflation Expectations," MPRA Paper 8663, University Library of Munich, Germany.
    32. Sami Alpanda & Kevin Kotzé & Geoffrey Woglom, 2010. "The Role Of The Exchange Rate In A New Keynesian Dsge Model For The South African Economy," South African Journal of Economics, Economic Society of South Africa, vol. 78(2), pages 170-191, June.
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    577. Kawther Alimi & Mohamed Chakroun, 2022. "Wage Rigidity Impacts on Unemployment and Inflation Persistence in Tunisia: Evidence from an Estimated DSGE Model," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 13(1), pages 474-500, March.
    578. Jääskelä, Jarkko P. & Jennings, David, 2011. "Monetary policy and the exchange rate: Evaluation of VAR models," Journal of International Money and Finance, Elsevier, vol. 30(7), pages 1358-1374.
    579. Andras Fulop & Jeremy Heng & Junye Li, 2022. "Efficient Likelihood-based Estimation via Annealing for Dynamic Structural Macrofinance Models," Papers 2201.01094, arXiv.org.
    580. Sharma, Saurabh & Behera, Harendra, 2022. "A dissection of Indian growth using a DSGE filter," Journal of Asian Economics, Elsevier, vol. 80(C).
    581. Hur, Joonyoung & Lee, Kang Koo, 2017. "Fiscal financing and the efficacy of fiscal policy in Korea: An empirical assessment with comparison to the U.S. evidence," Economic Modelling, Elsevier, vol. 64(C), pages 473-486.
    582. H. E. Cha & Raymond Jay Lim, 2024. "Model‐based estimation in monetary policy inertia and it's another possibility," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 29(2), pages 2077-2094, April.
    583. Yi-Hua Wu & Chih-Chin Ho & Eric S. Lin, 2017. "Measuring the Impact of Military Spending: How Far Does a DSGE Model Deviate from Reality?," Defence and Peace Economics, Taylor & Francis Journals, vol. 28(5), pages 585-608, September.
    584. Raffaella Giacomini, 2013. "The relationship between DSGE and VAR models," CeMMAP working papers 21/13, Institute for Fiscal Studies.
    585. Herranz, Moisés Meroño & Turino, Francesco, 2023. "Tax evasion, fiscal policy and public debt: Evidence from Spain," Economic Systems, Elsevier, vol. 47(3).
    586. Umba, Gilles Bertrand, 2020. "Choc externes et activité économique en RD Congo : une analyse en équilibre général dynamique et stochastique (DSGE)," Dynare Working Papers 63, CEPREMAP.
    587. Daniel F. Waggoner & Hongwei Wu & Tao Zha, 2014. "The Dynamic Striated Metropolis-Hastings Sampler for High-Dimensional Models," FRB Atlanta Working Paper 2014-21, Federal Reserve Bank of Atlanta.
    588. Meenagh, David & Minford, Patrick & Oyekola, Olayinka, 2015. "Oil Prices and the Dynamics of Output and Real Exchange Rate," Cardiff Economics Working Papers E2015/18, Cardiff University, Cardiff Business School, Economics Section.
    589. Benchimol, Jonathan, 2014. "Risk aversion in the Eurozone," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 68(1), pages 39-56.
    590. Apanisile, Tolulope Olumuyiwa & Akinlo, Anthony Enisan, 2022. "Effectiveness of Monetary Policy Transmission Mechanism in an Implicit Inflation Targeting Regime: The Case of Nigeria," African Journal of Economic Review, African Journal of Economic Review, vol. 10(4), September.

  43. Lubik, Thomas A. & Schorfheide, Frank, 2007. "Do central banks respond to exchange rate movements? A structural investigation," Journal of Monetary Economics, Elsevier, vol. 54(4), pages 1069-1087, May.
    See citations under working paper version above.
  44. Marco Del Negro & Frank Schorfheide, 2006. "How good is what you've got? DSGE-VAR as a toolkit for evaluating DSGE models," Economic Review, Federal Reserve Bank of Atlanta, vol. 91(Q 2), pages 21-37.

    Cited by:

    1. Minford, Patrick & Ou, Zhirong & Wickens, Michael & Zhu, Zheyi, 2022. "The eurozone: What is to be done to maintain macro and financial stability?," Journal of Financial Stability, Elsevier, vol. 63(C).
    2. Carlo A. Favero, 2007. "Model Evaluation in Macroeconometrics: from early empirical macroeconomic models to DSGE models," Working Papers 327, IGIER (Innocenzo Gasparini Institute for Economic Research), Bocconi University.
    3. Hsiao, Cody Yu-Ling & Jin, Tao & Kwok, Simon & Wang, Xi & Zheng, Xin, 2023. "Entrepreneurial risk shocks and financial acceleration asymmetry in a two-country DSGE model," China Economic Review, Elsevier, vol. 81(C).
    4. Renzo Orsi & Davide Raggi & Francesco Turino, 2014. "Size, Trend, and Policy Implications of the Underground Economy," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 17(3), pages 417-436, July.
    5. Sylvain Barde, 2019. "Macroeconomic simulation comparison with a multivariate extension of the Markov Information Criterion," Studies in Economics 1908, School of Economics, University of Kent.
    6. Giorgio Fagiolo & Mattia Guerini & Francesco Lamperti & Alessio Moneta & Andrea Roventini, 2017. "Validation of Agent-Based Models in Economics and Finance," LEM Papers Series 2017/23, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    7. Consolo, Agostino & Favero, Carlo A. & Paccagnini, Alessia, 2009. "On the statistical identification of DSGE models," Journal of Econometrics, Elsevier, vol. 150(1), pages 99-115, May.
    8. Warne, Anders & Coenen, Günter & Christoffel, Kai, 2010. "Forecasting with DSGE models," Working Paper Series 1185, European Central Bank.
    9. Carlo A. Favero, 2009. "The Econometrics of Monetary Policy: An Overview," Palgrave Macmillan Books, in: Terence C. Mills & Kerry Patterson (ed.), Palgrave Handbook of Econometrics, chapter 16, pages 821-850, Palgrave Macmillan.
    10. Kichian, Maral & Rumler, Fabio, 2014. "Forecasting Canadian inflation: A semi-structural NKPC approach," Economic Modelling, Elsevier, vol. 43(C), pages 183-191.
    11. Mattia Guerini & Alessio Moneta, 2016. "A Method for Agent-Based Models Validation," Working Papers Series 42, Institute for New Economic Thinking.
    12. Troy Davig & Eric M. Leeper, 2005. "Generalizing the Taylor Principle," NBER Working Papers 11874, National Bureau of Economic Research, Inc.
    13. Bekiros, Stelios D. & Paccagnini, Alessia, 2014. "Bayesian forecasting with small and medium scale factor-augmented vector autoregressive DSGE models," Computational Statistics & Data Analysis, Elsevier, vol. 71(C), pages 298-323.
    14. Dan S. Rickman, 2010. "Modern Macroeconomics And Regional Economic Modeling," Journal of Regional Science, Wiley Blackwell, vol. 50(1), pages 23-41, February.
    15. Maral Kichian & Rumler Fabio & Paul Corrigan, 2010. "Semi-Structural Models for Inflation Forecasting," Staff Working Papers 10-34, Bank of Canada.
    16. Fernando de Menezes Linardi, 2016. "Assessing the Fit of a Small Open-Economy DSGE Model for the Brazilian Economy," Working Papers Series 424, Central Bank of Brazil, Research Department.
    17. Dufour, Jean-Marie & Khalaf, Lynda & Kichian, Maral, 2010. "On the precision of Calvo parameter estimates in structural NKPC models," Journal of Economic Dynamics and Control, Elsevier, vol. 34(9), pages 1582-1595, September.
    18. Michael Wickens, 2015. "How Did We Get to Where We Are Now? Reflections on 50 Years of Macroeconomic and Financial Econometrics," Manchester School, University of Manchester, vol. 83, pages 60-82, December.
    19. De Luigi, Clara & Huber, Florian, 2018. "Debt regimes and the effectiveness of monetary policy," Journal of Economic Dynamics and Control, Elsevier, vol. 93(C), pages 218-238.
    20. Martínez-Martin, Jaime & Morris, Richard & Onorante, Luca & Piersanti, Fabio M., 2019. "Merging structural and reduced-form models for forecasting: opening the DSGE-VAR box," Working Paper Series 2335, European Central Bank.
    21. Shah, Sayar Ahmad & Garg, Bhavesh, 2023. "Identifying efficient policy mix under different targeting regimes: A tale of two crises," Economic Analysis and Policy, Elsevier, vol. 78(C), pages 975-994.
    22. André, Marine C. & Armijo, Alberto & Espidio, Sebastián Medina & Sandoval, Jamel, 2023. "Policy mix in a small open emerging economy with commodity prices," Latin American Journal of Central Banking (previously Monetaria), Elsevier, vol. 4(1).
    23. Paccagnini, Alessia, 2010. "DSGE Model Validation in a Bayesian Framework: an Assessment," MPRA Paper 24509, University Library of Munich, Germany.
    24. Chunping Liu & Patrick Minford & Zhirong Ou, 2025. "Can Modern Monetary Theory fit the post‐Crisis US facts? Evidence from a full DSGE model," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 30(1), pages 983-1006, January.

  45. Schorfheide, Frank, 2005. "VAR forecasting under misspecification," Journal of Econometrics, Elsevier, vol. 128(1), pages 99-136, September.

    Cited by:

    1. Laura Liu & Hyungsik Roger Moon & Frank Schorfheide, 2019. "Forecasting with a Panel Tobit Model," CAEPR Working Papers 2019-005, Center for Applied Economics and Policy Research, Department of Economics, Indiana University Bloomington.
    2. Oriol Gonzalez-Casasus & Frank Schorfheide, 2025. "Misspecification-Robust Shrinkage and Selection for VAR Forecasts and IRFs," PIER Working Paper Archive 25-003, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.
    3. Bauwens, Luc & Chevillon, Guillaume & Laurent, Sébastien, 2023. "We modeled long memory with just one lag!," Journal of Econometrics, Elsevier, vol. 236(1).
    4. Pincheira, Pablo M. & West, Kenneth D., 2016. "A comparison of some out-of-sample tests of predictability in iterated multi-step-ahead forecasts," Research in Economics, Elsevier, vol. 70(2), pages 304-319.
    5. Alfred A. Haug & Christie Smith, 2007. "Local linear impulse responses for a small open economy," Working Papers 0707, University of Otago, Department of Economics, revised Apr 2007.
    6. Ricco, Giovanni & Miranda-Agrippino, Silvia, 2018. "The Transmission of Monetary Policy Shocks," CEPR Discussion Papers 13396, C.E.P.R. Discussion Papers.
    7. M. Hashem Pesaran & Andreas Pick & Allan Timmermann, 2009. "Variable Selection and Inference for Multi-period Forecasting Problems," CESifo Working Paper Series 2543, CESifo.
    8. Dake Li & Mikkel Plagborg-Møller & Christian K. Wolf, 2021. "Local Projections vs. VARs: Lessons From Thousands of DGPs," Working Papers 2021-55, Princeton University. Economics Department..
    9. Hitesh Doshi & Kris Jacobs & Rui Liu, 2021. "Information in the Term Structure: A Forecasting Perspective," Management Science, INFORMS, vol. 67(8), pages 5255-5277, August.
    10. Andrew Ang & Monika Piazzesi & Min Wei, 2004. "What Does the Yield Curve Tell us about GDP Growth?," NBER Working Papers 10672, National Bureau of Economic Research, Inc.
    11. Leandro M. Magnusson & Sophocles Mavroeidis, 2010. "Identification‐Robust Minimum Distance Estimation of the New Keynesian Phillips Curve," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 42(2‐3), pages 465-481, March.
    12. Smets, Frank & Del Negro, Marco & Wouters, Rafael & Schorfheide, Frank, 2005. "On the Fit and Forecasting Performance of New Keynesian Models," CEPR Discussion Papers 4848, C.E.P.R. Discussion Papers.
    13. Guillaume Chevillon, 2007. "Direct Multi‐Step Estimation And Forecasting," Journal of Economic Surveys, Wiley Blackwell, vol. 21(4), pages 746-785, September.
    14. Greenaway-McGrevy, Ryan, 2015. "Evaluating panel data forecasts under independent realization," Journal of Multivariate Analysis, Elsevier, vol. 136(C), pages 108-125.
    15. Pesaran, M. Hashem & Pick, Andreas & Timmermann, Allan, 2011. "Variable selection, estimation and inference for multi-period forecasting problems," Journal of Econometrics, Elsevier, vol. 164(1), pages 173-187, September.
    16. Ang, Andrew & Bekaert, Geert & Wei, Min, 2007. "Do macro variables, asset markets, or surveys forecast inflation better?," Journal of Monetary Economics, Elsevier, vol. 54(4), pages 1163-1212, May.
    17. Roberto Casarin & Fausto Corradin & Francesco Ravazzolo & Nguyen Domenico Sartore, 2020. "A Scoring Rule for Factor and Autoregressive Models Under Misspecification," Advances in Decision Sciences, Asia University, Taiwan, vol. 24(2), pages 66-103, June.
    18. Michal Franta, 2016. "Iterated Multi-Step Forecasting with Model Coefficients Changing Across Iterations," Working Papers 2016/05, Czech National Bank, Research and Statistics Department.
    19. Xu Cheng & Bruce E. Hansen, 2012. "Forecasting with Factor-Augmented Regression: A Frequentist Model Averaging Approach," PIER Working Paper Archive 12-046, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.
    20. Todd E. Clark & Michael W. McCracken, 2013. "Evaluating the accuracy of forecasts from vector autoregressions," Working Papers 2013-010, Federal Reserve Bank of St. Louis.
    21. Massimiliano Marcellino & James Stock & Mark Watson, 2005. "A Comparison of Direct and Iterated Multistep AR Methods for Forecasting Macroeconomic Time Series," Working Papers 285, IGIER (Innocenzo Gasparini Institute for Economic Research), Bocconi University.
    22. Minsu Chang & Francis J. DiTraglia, 2020. "A Generalized Focused Information Criterion for GMM," Papers 2011.07085, arXiv.org.
    23. Ulrich K. Müller & James H. Stock, 2011. "Forecasts in a Slightly Misspecified Finite Order VAR Model," Working Papers 2011-4, Princeton University. Economics Department..
    24. DiTraglia, Francis J., 2016. "Using invalid instruments on purpose: Focused moment selection and averaging for GMM," Journal of Econometrics, Elsevier, vol. 195(2), pages 187-208.
    25. Eliana González Molano & Luis Fernando Melo Velandia & Anderson Grajales Olarte, 2007. "Pronósticos directos de la inflación colombiana," Borradores de Economia 458, Banco de la Republica de Colombia.
    26. Marco Del Negro & Raiden B. Hasegawa & Frank Schorfheide, 2014. "Dynamic Prediction Pools: An Investigation of Financial Frictions and Forecasting Performance," PIER Working Paper Archive 14-034, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.
    27. Mikkel Plagborg-Møller & Christian K. Wolf, 2020. "Local Projections and VARs Estimate the Same Impulse Responses," Working Papers 2020-16, Princeton University. Economics Department..
    28. McElroy, Tucker S. & Wildi, Marc, 2020. "The Multivariate Linear Prediction Problem: Model-Based and Direct Filtering Solutions," Econometrics and Statistics, Elsevier, vol. 14(C), pages 112-130.
    29. Michael W. McCracken & Joseph T. McGillicuddy, 2019. "An empirical investigation of direct and iterated multistep conditional forecasts," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 34(2), pages 181-204, March.
    30. Jinshun Wu & Luyao Wu, 2024. "Bayesian Local Likelihood Estimation of Time-Varying DSGE Models: Allowing for Indeterminacy," Computational Economics, Springer;Society for Computational Economics, vol. 64(4), pages 2437-2476, October.
    31. Chevillon, Guillaume, 2016. "Multistep forecasting in the presence of location shifts," International Journal of Forecasting, Elsevier, vol. 32(1), pages 121-137.
    32. Valentina Corradi & Norman R. Swanson, 2007. "Nonparametric Bootstrap Procedures For Predictive Inference Based On Recursive Estimation Schemes," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 48(1), pages 67-109, February.
    33. Lof, Matthijs & Nyberg, Henri, 2024. "Discount rates and cash flows: A local projection approach," Journal of Banking & Finance, Elsevier, vol. 162(C).
    34. Leonardo N. Ferreira & Silvia Miranda-Agrippino & Giovanni Ricco, 2023. "Bayesian Local Projections," Working Papers 2023-04, Center for Research in Economics and Statistics.
    35. Tom Stark, 2010. "Realistic evaluation of real-time forecasts in the Survey of Professional Forecasters," Research Rap Special Report, Federal Reserve Bank of Philadelphia, issue May.
    36. Hansen, Peter Reinhard & Dumitrescu, Elena-Ivona, 2022. "How should parameter estimation be tailored to the objective?," Journal of Econometrics, Elsevier, vol. 230(2), pages 535-558.
    37. John D. Levendis, 2018. "Time Series Econometrics," Springer Texts in Business and Economics, Springer, number 978-3-319-98282-3, December.
    38. Ing, Ching-Kang & Sin, Chor-yiu & Yu, Shu-Hui, 2012. "Model selection for integrated autoregressive processes of infinite order," Journal of Multivariate Analysis, Elsevier, vol. 106(C), pages 57-71.
    39. Thorsten Drautzburg & Jesús Fernández-Villaverde & Pablo A. Guerrón-Quintana & Dick Oosthuizen, 2024. "Filtering with Limited Information," NBER Working Papers 32754, National Bureau of Economic Research, Inc.
    40. Hännikäinen, Jari, 2014. "Multi-step forecasting in the presence of breaks," MPRA Paper 55816, University Library of Munich, Germany.
    41. Rubio-Ramírez, Juan Francisco & Schorfheide, Frank & Fernández-Villaverde, Jesús, 2015. "Solution and Estimation Methods for DSGE Models," CEPR Discussion Papers 11032, C.E.P.R. Discussion Papers.
    42. Lin, Tzu-Chi & Liu, Chu-An, 2025. "Model averaging prediction for possibly nonstationary autoregressions," Journal of Econometrics, Elsevier, vol. 249(PB).
    43. Todd E. Clark & Michael W. McCracken, 2001. "Evaluating long-horizon forecasts," Research Working Paper RWP 01-14, Federal Reserve Bank of Kansas City.
    44. Nikolay Robinzonov & Klaus Wohlrabe, 2008. "Freedom of Choice in Macroeconomic Forecasting: An Illustration with German Industrial Production and Linear Models," ifo Working Paper Series 57, ifo Institute - Leibniz Institute for Economic Research at the University of Munich.
    45. Valentina Corradi & Norman Swanson, 2004. "Bootstrap Procedures for Recursive Estimation Schemes With Applications to Forecast Model Selection," Departmental Working Papers 200418, Rutgers University, Department of Economics.
    46. Ching-Kang Ing, 2005. "Accumulated Prediction Errors, Information Criteria And Optimal Forecasting For Autoregressive Time Series," Econometrics 0503020, University Library of Munich, Germany.
    47. Francis J. DiTraglia, 2011. "Using Invalid Instruments on Purpose: Focused Moment Selection and Averaging for GMM, Second Version," PIER Working Paper Archive 14-045, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania, revised 09 Dec 2014.
    48. Kapetanios, George & Price, Simon & Theodoridis, Konstantinos, 2015. "A new approach to multi-step forecasting using dynamic stochastic general equilibrium models," Economics Letters, Elsevier, vol. 136(C), pages 237-242.
    49. Eliana Gonz�lez Molano & Luis Fernando Melo Velnadia & Anderson Grajales Olarte, 2007. "Pron�sticos directos de la inflaci�n colombiana," Borradores de Economia 4246, Banco de la Republica.
    50. Guillaume Chevillon, 2006. "Multi-step Forecasting in Unstable Economies: Robustness Issues in the Presence of Location Shifts," Economics Series Working Papers 257, University of Oxford, Department of Economics.
    51. Chevillon, Guillaume, 2017. "Robustness of Multistep Forecasts and Predictive Regressions at Intermediate and Long Horizons," ESSEC Working Papers WP1710, ESSEC Research Center, ESSEC Business School.
    52. Diego Fresoli, 2022. "Bootstrap VAR forecasts: The effect of model uncertainties," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 41(2), pages 279-293, March.
    53. Moffo, Ahmadou Mustapha Fonton, 2024. "A machine learning approach in stress testing US bank holding companies," International Review of Financial Analysis, Elsevier, vol. 95(PC).
    54. Johannes Mayr & Dirk Ulbricht, 2007. "VAR Model Averaging for Multi-Step Forecasting," ifo Working Paper Series 48, ifo Institute - Leibniz Institute for Economic Research at the University of Munich.
    55. Xu Cheng & Bruce E. Hansen, 2012. "Forecasting with Factor-Augmented Regression: A Frequentist Model Averaging Approach, Second Version," PIER Working Paper Archive 13-061, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania, revised 03 Sep 2013.
    56. Francis DiTraglia, 2011. "Using Invalid Instruments on Purpose: Focused Moment Selection and Averaging for GMM, Second Version," PIER Working Paper Archive 15-027, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania, revised 10 Aug 2015.
    57. Chor-yiu Sin & Shu-Hui Yu, 2019. "Order selection for possibly infinite-order non-stationary time series," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 103(2), pages 187-216, June.

  46. Marco Del Negro & Frank Schorfheide, 2005. "Policy Predictions if the Model Does Not Fit," Journal of the European Economic Association, MIT Press, vol. 3(2-3), pages 434-443, 04/05.
    See citations under working paper version above.
  47. Frank Schorfheide, 2005. "Learning and Monetary Policy Shifts," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 8(2), pages 392-419, April.
    See citations under working paper version above.
  48. Thomas A. Lubik & Frank Schorfheide, 2004. "Testing for Indeterminacy: An Application to U.S. Monetary Policy," American Economic Review, American Economic Association, vol. 94(1), pages 190-217, March.
    See citations under working paper version above.
  49. Marco Del Negro & Frank Schorfheide, 2004. "Priors from General Equilibrium Models for VARS," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 45(2), pages 643-673, May.
    See citations under working paper version above.
  50. Lubik, Thomas A. & Schorfheide, Frank, 2003. "Computing sunspot equilibria in linear rational expectations models," Journal of Economic Dynamics and Control, Elsevier, vol. 28(2), pages 273-285, November.

    Cited by:

    1. Luca Benati & Paolo Surico, 2009. "VAR Analysis and the Great Moderation," American Economic Review, American Economic Association, vol. 99(4), pages 1636-1652, September.
    2. Stephen McKnight & Laura Povoledo, 2022. "Endogenous fluctuations and international business cycles," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 55(1), pages 312-348, February.
    3. Andrzej Kocięcki & Marcin Kolasa, 2022. "A solution to the global identification problem in DSGE models," Working Papers 2022-01, Faculty of Economic Sciences, University of Warsaw.
    4. Andrés González & Franz Hamann, 2011. "Lack of Credibility, Inflation Persistence and Disinflation in Colombia," Borradores de Economia 658, Banco de la Republica de Colombia.
    5. Takushi Kurozumi & Willem Van Zandweghe, 2011. "Determinacy under Inflation Targeting Interest Rate Policy in a Sticky Price Model with Investment (and Labor Bargaining)," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 43(5), pages 1019-1033, August.
    6. Ragna Alstadheim & Øistein Røisland, 2017. "When Preferences for a Stable Interest Rate Become Self‐Defeating," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 49(2-3), pages 393-415, March.
    7. Farmer, Roger E.A. & Waggoner, Daniel F. & Zha, Tao, 2011. "Minimal state variable solutions to Markov-switching rational expectations models," Journal of Economic Dynamics and Control, Elsevier, vol. 35(12), pages 2150-2166.
    8. Efrem Castelnuovo & Paolo Surico, 2006. "The Price Puzzle: Fact or Artifact?," "Marco Fanno" Working Papers 0016, Dipartimento di Scienze Economiche "Marco Fanno".
    9. Andrew P Blake & Bojan Markovic, 2008. "The conduct of global monetary policy and domestic stability," Bank of England working papers 353, Bank of England.
    10. Tetlow, Robert J. & von zur Muehlen, Peter, 2006. "Robustifying learnability," Working Paper Series 593, European Central Bank.
    11. Thomas Lubik & Massimiliano Marzo, 2003. "An Inventory of Simple Monetary Policy Rules in a New Keynesian Macroeconomic Model," Economics Working Paper Archive 500, The Johns Hopkins University,Department of Economics.
    12. Holden, Tom, 2008. "Rational macroeconomic learning in linear expectational models," MPRA Paper 10872, University Library of Munich, Germany.
    13. Matthias S. Hertweck & Vivien Lewis & Stefania Villa, 2021. "Going the Extra Mile: Effort by Workers and Job‐Seekers," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 53(8), pages 2099-2127, December.
    14. Chin, Kuo-Hsuan & Li, Xue, 2019. "Bayesian forecast combination in VAR-DSGE models," Journal of Macroeconomics, Elsevier, vol. 59(C), pages 278-298.
    15. André Kurmann, 2004. "Maximum Likelihood Estimation of Dynamic Stochastic Theories with an Application to New Keynesian Pricing," Macroeconomics 0409028, University Library of Munich, Germany.
    16. Marco M. Sorge, 2018. "Computing Sunspot Solutions to Rational Expectations Models with Timing Restrictions," CSEF Working Papers 514, Centre for Studies in Economics and Finance (CSEF), University of Naples, Italy.
    17. Anatoliy Belaygorod & Michael J. Dueker, 2007. "The price puzzle and indeterminacy in an estimated DSGE model," Working Papers 2006-025, Federal Reserve Bank of St. Louis.
    18. Pavlov, Oscar, 2021. "Multi-product firms and increasing marginal costs," Journal of Economic Dynamics and Control, Elsevier, vol. 133(C).
    19. Haderer, Michaela, 2022. "An Estimated DSGE Model of the Euro Area with Expectations about the Timing and Nature of Liftoff from the Lower Bound," Working Papers 2022-05, University of Sydney, School of Economics.
    20. Carlo A. Favero, 2007. "Model Evaluation in Macroeconometrics: from early empirical macroeconomic models to DSGE models," Working Papers 327, IGIER (Innocenzo Gasparini Institute for Economic Research), Bocconi University.
    21. Prüser, Jan, 2021. "The horseshoe prior for time-varying parameter VARs and Monetary Policy," Journal of Economic Dynamics and Control, Elsevier, vol. 129(C).
    22. Hartigan, Luke & Morley, James, 2019. "A Factor Model Analysis of the Australian Economy and the Effects of Inflation Targeting," Working Papers 2019-10, University of Sydney, School of Economics, revised Nov 2019.
    23. Wataru Miyamoto & Thuy Lan Nguyen & Dmitriy Sergeyev, 2017. "Government Spending Multipliers Under the Zero Lower Bound: Evidence from Japan," Staff Working Papers 17-40, Bank of Canada.
    24. Mr. Marco Airaudo & Salvatore Nisticò & Luis-Felipe Zanna, 2015. "Learning, Monetary Policy and Asset Prices," IMF Working Papers 2015/016, International Monetary Fund.
    25. Thomas A. Lubik & Paolo Surico, 2010. "The Lucas critique and the stability of empirical models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 25(1), pages 177-194.
    26. Miguel Urrutia & Franz Hamann & Marc Hofstetter, 2014. "Inflation Targeting in Colombia, 2002-2012," Research Department Publications IDB-WP-487, Inter-American Development Bank, Research Department.
    27. Farmer, Roger & Beyer, Andreas, 2003. "On the Indeterminacy of Determinacy and Indeterminacy," CEPR Discussion Papers 4101, C.E.P.R. Discussion Papers.
    28. Giovanni Angelini & Marco M. Sorge, 2021. "Under the same (Chole)sky: DNK models, timing restrictions and recursive identification of monetary policy shocks," Working Papers wp1160, Dipartimento Scienze Economiche, Universita' di Bologna.
    29. Stephen McKnight & Laura Povoledo, 2015. "Can indeterminacy and self-fulfilling expectations help explain international business cycles?," Working Papers 20151504, Department of Accounting, Economics and Finance, Bristol Business School, University of the West of England, Bristol.
    30. Zhang, Bo & Dai, Wei, 2020. "Trend inflation and macroeconomic stability in a small open economy," Economic Modelling, Elsevier, vol. 91(C), pages 769-778.
    31. Fabio Milani, 2012. "The Modeling of Expectations in Empirical DSGE Models: a Survey," Working Papers 121301, University of California-Irvine, Department of Economics.
    32. Fabio Canova & Luca Gambetti, 2007. "Do expectations matter? The Great Moderation revisited," Economics Working Papers 1084, Department of Economics and Business, Universitat Pompeu Fabra, revised Jan 2009.
    33. Luca Fanelli & Marco M. Sorge, 2015. "Indeterminacy, Misspecification and Forecastability: Good Luck in Bad Policy?," CSEF Working Papers 402, Centre for Studies in Economics and Finance (CSEF), University of Naples, Italy.
    34. Castelnuovo, Efrem & Surico, Paolo, 2009. "Monetary policy, inflation expectations and the price puzzle," Bank of Finland Research Discussion Papers 30/2009, Bank of Finland.
    35. Lilia Karnizova, 2007. "News versus Sunspot Shocks in Linear Rational Expectations Models," Working Papers 0706E, University of Ottawa, Department of Economics.
    36. Mr. Roger Farmer & Mr. Vadim Khramov, 2013. "Solving and Estimating Indeterminate DSGE Models," IMF Working Papers 2013/200, International Monetary Fund.
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    1. Lees, Kirdan & Matheson, Troy & Smith, Christie, 2011. "Open economy forecasting with a DSGE-VAR: Head to head with the RBNZ published forecasts," International Journal of Forecasting, Elsevier, vol. 27(2), pages 512-528.
    2. Javier Andrés & Fernando Restoy, 2007. "Macroeconomic modelling in EMU: how relevant is the change in regime?," Working Papers 0718, Banco de España.
    3. Kirdan Lees & Troy Matheson & Christie Smith, 2007. "Open Economy Dsge-Var Forecasting And Policy Analysis: Head To Head With The Rbnz Published Forecasts," CAMA Working Papers 2007-05, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    4. Camilo E Tovar, 2008. "DSGE models and central banks," BIS Working Papers 258, Bank for International Settlements.
    5. Dan S. Rickman, 2010. "Modern Macroeconomics And Regional Economic Modeling," Journal of Regional Science, Wiley Blackwell, vol. 50(1), pages 23-41, February.
    6. Artur Sharafutdinov, 2023. "Forecasting Russian GDP, Inflation, Interest Rate, and Exchange Rate Using DSGE-VAR Model," Russian Journal of Money and Finance, Bank of Russia, vol. 82(3), pages 62-86, September.
    7. Muhanji, Stella & Malikane, Christopher & Ojah, Kalu, 2013. "Price and liquidity puzzles of a monetary shock: Evidence from indebted African economies," Economic Modelling, Elsevier, vol. 33(C), pages 620-630.
    8. Suescun, Rodrigo, 2020. "A tool for fiscal policy planning in a medium-term fiscal framework: The FMM-MTFF model," Economic Modelling, Elsevier, vol. 88(C), pages 431-446.
    9. Paul Pichler, 2007. "Forecasting with estimated dynamic stochastic general equilibrium models: The role of nonlinearities," Vienna Economics Papers vie0702, University of Vienna, Department of Economics.
    10. Alvarez-Lois, Pedro & Harrison, Richard & Piscitelli, Laura & Scott, Alasdair, 2008. "On the application and use of DSGE models," Journal of Economic Dynamics and Control, Elsevier, vol. 32(8), pages 2428-2452, August.
    11. Roth, Markus, 2020. "Partial pooling with cross-country priors: An application to house price shocks," Discussion Papers 06/2020, Deutsche Bundesbank.
    12. Muhanji, Stella & Ojah, Kalu, 2011. "External shocks and persistence of external debt in open vulnerable economies: The case of Africa," Economic Modelling, Elsevier, vol. 28(4), pages 1615-1628, July.

  53. Yongsung Chang & Joao F. Gomes & Frank Schorfheide, 2002. "Learning-by-Doing as a Propagation Mechanism," American Economic Review, American Economic Association, vol. 92(5), pages 1498-1520, December.
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  54. Moon, Hyungsik Roger & Schorfheide, Frank, 2002. "Minimum Distance Estimation Of Nonstationary Time Series Models," Econometric Theory, Cambridge University Press, vol. 18(6), pages 1385-1407, December.

    Cited by:

    1. Gabriel Montes-Rojas & Luciano de Castro & Antonio F. Galvao & Jeong Yeol Kim & José Olmo, 2021. "Experiments on portfolio selection: a comparison between quantile preferences and expected utility decision models," Documentos de trabajo del Instituto Interdisciplinario de Economía Política IIEP (UBA-CONICET) 2021-68, Universidad de Buenos Aires, Facultad de Ciencias Económicas, Instituto Interdisciplinario de Economía Política IIEP (UBA-CONICET).
    2. Considine, Timothy J., 2018. "Estimating concave substitution possibilities with non-stationary data using the dynamic linear logit demand model," Economic Modelling, Elsevier, vol. 72(C), pages 22-30.
    3. Christis Katsouris, 2023. "Structural Analysis of Vector Autoregressive Models," Papers 2312.06402, arXiv.org, revised Feb 2024.
    4. Leandro M. Magnusson & Sophocles Mavroeidis, 2010. "Identification‐Robust Minimum Distance Estimation of the New Keynesian Phillips Curve," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 42(2‐3), pages 465-481, March.
    5. Galvao, Antonio F. & Wang, Liang, 2015. "Efficient minimum distance estimator for quantile regression fixed effects panel data," Journal of Multivariate Analysis, Elsevier, vol. 133(C), pages 1-26.
    6. Marco Del Negro & Frank Schorfheide, 2002. "Priors from general equilibrium models for VARs," FRB Atlanta Working Paper 2002-14, Federal Reserve Bank of Atlanta.

  55. Schorfheide, Frank, 2000. "Forecasting Economic Time Series," Econometric Theory, Cambridge University Press, vol. 16(3), pages 441-450, June.

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    1. Maghyereh, Aktham, 2003. "Financial Liberalization and Stability Demand for Money in Emerging Economies: Evidence from Jordan," Applied Econometrics and International Development, Euro-American Association of Economic Development, vol. 3(2).
    2. Giordani, Paolo & Kohn, Robert, 2008. "Efficient Bayesian Inference for Multiple Change-Point and Mixture Innovation Models," Journal of Business & Economic Statistics, American Statistical Association, vol. 26, pages 66-77, January.
    3. Pesaran, M.H. & Schuermann, T. & Smit, L.V., 2008. "Forecasting Economic and Financial Variables with Global VARs," Cambridge Working Papers in Economics 0807, Faculty of Economics, University of Cambridge.
    4. Fernando M. Gonçalves, 2008. "Accumulating Foreign Reserves Under Floating Exchange Rates," IMF Working Papers 2008/096, International Monetary Fund.
    5. Gerit Vogt, 2009. "Konjunkturprognose in Deutschland. Ein Beitrag zur Prognose der gesamtwirtschaftlichen Entwicklung auf Bundes- und Länderebene," ifo Beiträge zur Wirtschaftsforschung, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, number 36.

  56. Frank Schorfheide, 2000. "Loss function-based evaluation of DSGE models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 15(6), pages 645-670.

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    5. Ríos-Rull, José-Víctor & Schorfheide, Frank & Fuentes-Albero, Cristina & Kryshko, Maxym & Santaeulàlia-Llopis, Raül, 2012. "Methods versus substance: Measuring the effects of technology shocks," Journal of Monetary Economics, Elsevier, vol. 59(8), pages 826-846.
    6. Adolfson, Malin & Laséen, Stefan & Lindé, Jesper & Villani, Mattias, 2005. "Bayesian Estimation of an Open Economy DSGE Model with Incomplete Pass-Through," Working Paper Series 179, Sveriges Riksbank (Central Bank of Sweden).
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    9. Eilev S. Jansen, 2004. "Modelling inflation in the Euro Area," Working Paper 2004/10, Norges Bank.
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    11. Jouini, Nizar & Rebei, Nooman, 2012. "The Welfare Implications of Services Liberalization in a Developing Country," Conference papers 332271, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.
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    247. Komunjer, Ivana & Zhu, Yinchu, 2020. "Likelihood ratio testing in linear state space models: An application to dynamic stochastic general equilibrium models," Journal of Econometrics, Elsevier, vol. 218(2), pages 561-586.
    248. Yasuo Hirose & Saori Naganuma, 2007. "Structural Estimation of the Output Gap: A Bayesian DSGE Approach for the U.S. Economy," Bank of Japan Working Paper Series 07-E-24, Bank of Japan.
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    254. Ramirez, Francisco A. & Torres, Francisco A., 2013. "Modelo de equilibrio general dinámico y estocástico con rigideces nominales para el análisis de política y proyecciones en la República Dominicana [A stochastic and dynamic general equilibrium mode," MPRA Paper 51802, University Library of Munich, Germany.
    255. Rubio-Ramírez, Juan Francisco & Schorfheide, Frank & Fernández-Villaverde, Jesús, 2015. "Solution and Estimation Methods for DSGE Models," CEPR Discussion Papers 11032, C.E.P.R. Discussion Papers.
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    287. Alexandros P. Bechlioulis & Sophocles N. Brissimis, 2021. "Are household consumption decisions affected by past due unsecured debt? Theory and evidence," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(2), pages 3040-3053, April.
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    291. Castañeda, Pablo & Castro, Rubén & Fajnzylber, Eduardo & Medina, Juan Pablo & Villatoro, Félix, 2021. "Saving for the future: Evaluating the sustainability and design of Pension Reserve Funds," Pacific-Basin Finance Journal, Elsevier, vol. 68(C).
    292. Zams, Bastian Muzbar, 2021. "Frictions and empirical fit in a DSGE model for Indonesia," Economic Modelling, Elsevier, vol. 99(C).
    293. Rahul Anand & Ding Ding & Mr. Volodymyr Tulin, 2014. "Food Inflation in India: The Role for Monetary Policy," IMF Working Papers 2014/178, International Monetary Fund.
    294. Marcel Förster, 2014. "An Empirical Analysis of Business Cycles in a New Keynesian Model with Inventories," MAGKS Papers on Economics 201413, Philipps-Universität Marburg, Faculty of Business Administration and Economics, Department of Economics (Volkswirtschaftliche Abteilung).
    295. Takashi Kano, 2008. "Habit Formation and the Present-Value Model of the Current Account: Yet Another Suspect ( Revised version of CARF-F-101(2007); Revised version subsequently published in "Journal of International ," CARF F-Series CARF-F-124, Center for Advanced Research in Finance, Faculty of Economics, The University of Tokyo.
    296. Frank Schorfheide & Francis X. Diebold & Marco Del Negro, 2008. "Priors from Frequency-Domain Dummy Observations," 2008 Meeting Papers 310, Society for Economic Dynamics.
    297. In-Koo Cho & Ken Kasa, 2012. "Model Validation and Learning," Discussion Papers dp12-07, Department of Economics, Simon Fraser University.
    298. Hirose, Yasuo, 2007. "Sunspot fluctuations ulnder zero nominal interest rates," Economics Letters, Elsevier, vol. 97(1), pages 39-45, October.
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    300. Nikolay Hristov, 2016. "The Ifo DSGE Model for the German Economy," ifo Working Paper Series 210, ifo Institute - Leibniz Institute for Economic Research at the University of Munich.
    301. Matus Senaj & Milan Vyskrabka & Juraj Zeman, 2010. "MUSE: Monetary Union and Slovak Economy model," Working and Discussion Papers WP 1/2010, Research Department, National Bank of Slovakia.
    302. Iiboshi, Hirokuni & Nishiyama, Shin-Ichi & Watanabe, Toshiaki, 2006. "An Estimated Dynamic Stochastic General Equilibrium Model of the Japanese Economy: A Bayesian Analysis," MPRA Paper 85702, University Library of Munich, Germany.
    303. Shah, Sayar Ahmad & Garg, Bhavesh, 2023. "Identifying efficient policy mix under different targeting regimes: A tale of two crises," Economic Analysis and Policy, Elsevier, vol. 78(C), pages 975-994.
    304. Koloch, Grzegorz, 2016. "Plausibility of big shocks within a linear state space setting with skewness," MPRA Paper 69001, University Library of Munich, Germany.
    305. Negro, Marco Del & Schorfheide, Frank, 2013. "DSGE Model-Based Forecasting," Handbook of Economic Forecasting, in: G. Elliott & C. Granger & A. Timmermann (ed.), Handbook of Economic Forecasting, edition 1, volume 2, chapter 0, pages 57-140, Elsevier.
    306. Zheng, Tingguo & Guo, Huiming, 2013. "Estimating a small open economy DSGE model with indeterminacy: Evidence from China," Economic Modelling, Elsevier, vol. 31(C), pages 642-652.
    307. Kano, Takashi & 加納, 隆, 2014. "Exchange Rates and Fundamentals: Closing a Two-country Model," Discussion Papers 2013-07, Graduate School of Economics, Hitotsubashi University.
    308. Nishino, Haruhisa & Kakamu, Kazuhiko, 2015. "A random walk stochastic volatility model for income inequality," Japan and the World Economy, Elsevier, vol. 36(C), pages 21-28.
    309. Sylvain Barde, 2017. "A Practical, Accurate, Information Criterion for Nth Order Markov Processes," Post-Print hal-03471817, HAL.
    310. Christopher Gust & Edward Herbst & David López-Salido & Matthew E. Smith, 2017. "The Empirical Implications of the Interest-Rate Lower Bound," American Economic Review, American Economic Association, vol. 107(7), pages 1971-2006, July.
    311. Marco Ratto & Riccardo Girardi, 2004. "Bayesian Estimation of Total Investment Expenditures For Romanian Economy using DYNARE," Computing in Economics and Finance 2004 151, Society for Computational Economics.
    312. Menner, Martin, 2005. "A search-theoretic monetary business cycle model with capital formation," UC3M Working papers. Economics we056634, Universidad Carlos III de Madrid. Departamento de Economía.
    313. Luckas Sabioni Lopes & Marcelle Chauvet & João Eustáquio Lima, 2018. "The end of Brazilian big inflation: lessons to monetary policy from a standard New Keynesian model," Empirical Economics, Springer, vol. 55(4), pages 1475-1505, December.
    314. Marco Ratto, 2006. "Global sensitivity analysis for macro-economic models," Computing in Economics and Finance 2006 42, Society for Computational Economics.
    315. Riccardo Cristadoro & Andrea Gerali & Stefano Neri & Massimiliano Pisani, 2008. "Real exchange rate volatility and disconnect: an empirical investigation," Temi di discussione (Economic working papers) 660, Bank of Italy, Economic Research and International Relations Area.
    316. Álvarez-Parra, Fernando & Brandao-Marques, Luis & Toledo, Manuel, 2013. "Durable goods, financial frictions, and business cycles in emerging economies," Journal of Monetary Economics, Elsevier, vol. 60(6), pages 720-736.
    317. Sun-Bin Kim & Frank Schorfheide & Yongsung Chang, 2010. "Financial Frictions, Aggregation, and the Lucas Critique," 2010 Meeting Papers 31, Society for Economic Dynamics.
    318. Lindé, J. & Smets, F. & Wouters, R., 2016. "Challenges for Central Banks’ Macro Models," Handbook of Macroeconomics, in: J. B. Taylor & Harald Uhlig (ed.), Handbook of Macroeconomics, edition 1, volume 2, chapter 0, pages 2185-2262, Elsevier.
    319. Fabio Milani, 2009. "Adaptive Learning and Macroeconomic Inertia in the Euro Area," Journal of Common Market Studies, Wiley Blackwell, vol. 47(3), pages 579-599, June.
    320. Paulo Júlio & José R. Maria, 2017. "Output in the Portuguese post-2008 period: A general equilibrium narrative," Economic Bulletin and Financial Stability Report Articles and Banco de Portugal Economic Studies, Banco de Portugal, Economics and Research Department.
    321. Paul Windrum & Giorgio Fagiolo & Alessio Moneta, 2007. "Empirical Validation of Agent-Based Models: Alternatives and Prospects," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 10(2), pages 1-8.
    322. Nicoletta Batini & Paul Levine, 2004. "Robust Control Rules to Shield Against Indeterminacy," Computing in Economics and Finance 2004 339, Society for Computational Economics.
    323. Fritz Breuss & Katrin Rabitsch, 2009. "An estimated two-country DSGE model of Austria and the Euro Area," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 36(1), pages 123-158, February.
    324. Carlos J. García & Pablo González M. & Antonio Moncado S., 2013. "Macroeconomic Forecasting in Chile: a Structural Bayesian Approach," Journal Economía Chilena (The Chilean Economy), Central Bank of Chile, vol. 16(1), pages 24-63, April.
    325. Gómez, Marcos & Medina, Juan Pablo & Valenzuela, Gonzalo, 2019. "Unveiling the objectives of central banks: Tales of four Latin American countries," Economic Modelling, Elsevier, vol. 76(C), pages 81-100.
    326. Eschenhof, Sabine, 2009. "Comparing monetary policy rules in a small open economy framework: An empirical analysis using Bayesian techniques," Darmstadt Discussion Papers in Economics 197, Darmstadt University of Technology, Department of Law and Economics.
    327. Christoffel, Kai & Coenen, Gunter & Warne, Anders, 2007. "Conditional versus unconditional forecasting with the New Area-Wide Model of the euro area," MPRA Paper 76759, University Library of Munich, Germany.
    328. Sungbae An & Heedon Kang, 2011. "Oil Shocks in a DSGE Model for the Korean Economy," NBER Chapters, in: Commodity Prices and Markets, pages 295-321, National Bureau of Economic Research, Inc.
    329. Cakici, S. Meral, 2011. "Financial integration and business cycles in a small open economy," Journal of International Money and Finance, Elsevier, vol. 30(7), pages 1280-1302.
    330. Ratto Marco & Roeger Werner & Veld Jan, 2006. "Fiscal Policy in an estimated open-economy model for the EURO area," Computing in Economics and Finance 2006 43, Society for Computational Economics.
    331. Lilia Cavallari & Federico Etro, 2017. "Demand, Markups and the Business Cycle. Bayesian Estimation and Quantitative Analysis in Closed and Open Economies," Working Papers 2017:09, Department of Economics, University of Venice "Ca' Foscari".
    332. John Landon-Lane & Filippo Occhino, 2004. "A Likelihood-Based Evaluation of the Segmented Markets Friction in Equilibrium Monetary Models," Departmental Working Papers 200415, Rutgers University, Department of Economics.
    333. Stephen Burgess & Emilio Fernandez-Corugedo & Charlotta Groth & Richard Harrison & Francesca Monti & Konstantinos Theodoridis & Matt Waldron, 2013. "The Bank of England's forecasting platform: COMPASS, MAPS, EASE and the suite of models," Bank of England working papers 471, Bank of England.
    334. Riggi, Marianna & Tancioni, Massimiliano, 2010. "Nominal vs real wage rigidities in New Keynesian models with hiring costs: A Bayesian evaluation," Journal of Economic Dynamics and Control, Elsevier, vol. 34(7), pages 1305-1324, July.
    335. Christoffel, Kai & Kuester, Keith & Linzert, Tobias, 2005. "The Impact of Labor Markets on the Transmission of Monetary Policy in an Estimated DSGE Model," IZA Discussion Papers 1902, Institute of Labor Economics (IZA).
    336. Ratto, Marco & Roeger, Werner & Veld, Jan in 't, 2009. "QUEST III: An estimated open-economy DSGE model of the euro area with fiscal and monetary policy," Economic Modelling, Elsevier, vol. 26(1), pages 222-233, January.
    337. Guha, Puja, 2013. "Macroeconomic effects of international remittances: The case of developing economies," Economic Modelling, Elsevier, vol. 33(C), pages 292-305.
    338. Joshua Brault, 2024. "Parallel Tempering for DSGE Estimation," Staff Working Papers 24-13, Bank of Canada.
    339. Martin Fukac & Adrian Pagan, 2006. "Issues in Adopting DSGE Models for Use in the Policy Process," Working Papers 2006/6, Czech National Bank, Research and Statistics Department.
    340. Valentina Corradi & Norman R. Swanson, 2003. "A Test for Comparing Multiple Misspecified Conditional Distributions," Departmental Working Papers 200314, Rutgers University, Department of Economics.
    341. Paccagnini, Alessia, 2010. "DSGE Model Validation in a Bayesian Framework: an Assessment," MPRA Paper 24509, University Library of Munich, Germany.
    342. Ma, Yong, 2014. "Monetary policy based on nonlinear quantity rule: Evidence from China," International Review of Economics & Finance, Elsevier, vol. 34(C), pages 89-104.
    343. Stefano Grassi & Marco Lorusso & Francesco Ravazzolo, 2021. "Adaptive Importance Sampling for DSGE Models," BEMPS - Bozen Economics & Management Paper Series BEMPS84, Faculty of Economics and Management at the Free University of Bozen.
    344. Milan Bouda, 2014. "The New Keynesian Dsge Model and Alternative Monetary Policy Rules in the Czech Republic," Acta Oeconomica Pragensia, Prague University of Economics and Business, vol. 2014(1), pages 41-55.
    345. Marco Del Negro & Frank Schorfheide, 2002. "Priors from general equilibrium models for VARs," FRB Atlanta Working Paper 2002-14, Federal Reserve Bank of Atlanta.
    346. Kawther Alimi & Mohamed Chakroun, 2022. "Wage Rigidity Impacts on Unemployment and Inflation Persistence in Tunisia: Evidence from an Estimated DSGE Model," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 13(1), pages 474-500, March.
    347. Frank Schorfheide & Kenneth I. Wolpin, 2012. "On the Use of Holdout Samples for Model Selection," American Economic Review, American Economic Association, vol. 102(3), pages 477-481, May.
    348. Yasuo Hirose & Saori Naganuma, 2010. "Structural Estimation Of The Output Gap: A Bayesian Dsge Approach," Economic Inquiry, Western Economic Association International, vol. 48(4), pages 864-879, October.
    349. Pelin Ilbas, 2008. "Estimation of monetary policy preferences in a forward-looking model : a Bayesian approach," Working Paper Research 129, National Bank of Belgium.
    350. Dilip Nachane, 2017. "Dynamic Stochastic General Equilibrium (DSGE) Modelling :Theory And Practice," Working Papers id:11699, eSocialSciences.
    351. Lacina Balma & Daniel Gurara & Mthuli Ncube, 2019. "Working Paper 320 - Hands Off Oil Revenues? Public Investment and Cash Transfers," Working Paper Series 2446, African Development Bank.

Software components

    Sorry, no citations of software components recorded.

Chapters

  1. Fernández-Villaverde, J. & Rubio-Ramírez, J.F. & Schorfheide, F., 2016. "Solution and Estimation Methods for DSGE Models," Handbook of Macroeconomics, in: J. B. Taylor & Harald Uhlig (ed.), Handbook of Macroeconomics, edition 1, volume 2, chapter 0, pages 527-724, Elsevier.
    See citations under working paper version above.
  2. Negro, Marco Del & Schorfheide, Frank, 2013. "DSGE Model-Based Forecasting," Handbook of Economic Forecasting, in: G. Elliott & C. Granger & A. Timmermann (ed.), Handbook of Economic Forecasting, edition 1, volume 2, chapter 0, pages 57-140, Elsevier.
    See citations under working paper version above.
  3. Marco Del Negro & Frank Schorfheide, 2009. "Inflation Dynamics in a Small Open Economy Model under Inflation Targeting: Some Evidence from Chile," Central Banking, Analysis, and Economic Policies Book Series, in: Klaus Schmidt-Hebbel & Carl E. Walsh & Norman Loayza (Series Editor) & Klaus Schmidt-Hebbel (Series (ed.),Monetary Policy under Uncertainty and Learning, edition 1, volume 13, chapter 13, pages 511-562, Central Bank of Chile. See citations under working paper version above.
  4. Frank Schorfheide, 2008. "Comment on "How Structural Are Structural Parameters?"," NBER Chapters, in: NBER Macroeconomics Annual 2007, Volume 22, pages 149-163, National Bureau of Economic Research, Inc.

    Cited by:

    1. Jan Čapek, 2016. "Structural Changes in the Czech Economy: A DSGE Model Approach," Prague Economic Papers, Prague University of Economics and Business, vol. 2016(1), pages 37-52.
    2. Jan Capek, 2014. "Historical Analysis of Monetary Policy Reaction Functions: Do Real-Time Data Matter?," Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, vol. 64(6), pages 457-475, December.
    3. Martin Slanicay & Jan Čapek & Miroslav Hloušek, 2016. "Some Notes On Problematic Issues In Dsge Models," Economic Annals, Faculty of Economics and Business, University of Belgrade, vol. 61(210), pages 79-100, July - Se.

  5. Thomas Lubik & Frank Schorfheide, 2006. "A Bayesian Look at New Open Economy Macroeconomics," NBER Chapters, in: NBER Macroeconomics Annual 2005, Volume 20, pages 313-382, National Bureau of Economic Research, Inc.
    See citations under working paper version above.

Books

  1. Edward P. Herbst & Frank Schorfheide, 2016. "Bayesian Estimation of DSGE Models," Economics Books, Princeton University Press, edition 1, number 10612.

    Cited by:

    1. Banza Mukalay, M’pya, 2021. "Efficacité de la politique budgétaire en RDC," Dynare Working Papers 68, CEPREMAP.
    2. Andrzej Kocięcki & Marcin Kolasa, 2022. "A solution to the global identification problem in DSGE models," Working Papers 2022-01, Faculty of Economic Sciences, University of Warsaw.
    3. Lien Laureys & Roland Meeks & Boromeus Wanengkirtyo, 2020. "Optimal Simple Objectives for Monetary Policy When Banks Matter," CAMA Working Papers 2020-98, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    4. Samuel Kwesi Dunyo & Saran Sarntisart, 2024. "The impact of COVID‐19 pandemic on the Thai economy and the effectiveness of monetary policy: A Bayesian DSGE model approach," Asian Economic Journal, East Asian Economic Association, vol. 38(1), pages 3-34, March.
    5. Alexander Mihailov & Giovanni Razzu & Zhe Wang, 2019. "Heterogeneous effects of single monetary policy on unemployment rates in the largest EMU economies," Economics Discussion Papers em-dp2019-07, Department of Economics, University of Reading.
    6. S. BoraÄŸan Aruoba & Pablo Cuba-Borda & Frank Schorfheide, 2012. "Macroeconomic Dynamics Near the ZLB: A Tale of Two Countries," PIER Working Paper Archive 14-035, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania, revised 19 Jun 2014.
    7. Canova, Fabio & Matthes, Christian, 2018. "A composite likelihood approach for dynamic structural models," CEPR Discussion Papers 13245, C.E.P.R. Discussion Papers.
    8. Grazzini, Jakob & Richiardi, Matteo G. & Tsionas, Mike, 2017. "Bayesian estimation of agent-based models," Journal of Economic Dynamics and Control, Elsevier, vol. 77(C), pages 26-47.
    9. Yasufumi Gemma & Takushi Kurozumi & Mototsugu Shintani, 2017. "Trend Inflation and Evolving Inflation Dynamics: A Bayesian GMM Analysis of the Generalized New Keynesian Phillips Curve," IMES Discussion Paper Series 17-E-10, Institute for Monetary and Economic Studies, Bank of Japan.
    10. Gulan, Adam, 2018. "Paradise lost? A brief history of DSGE macroeconomics," Bank of Finland Research Discussion Papers 22/2018, Bank of Finland.
    11. Wang, Li-Hui & Li, Fu-An, 2024. "Regulatory Effects of the Combinations of Aggregate and Structural Monetary Policy Instruments: an application of New Keynesian DSGE model to China," Economic Analysis and Policy, Elsevier, vol. 84(C), pages 1120-1143.
    12. Manuel Arellano & Stéphane Bonhomme, 2016. "Nonlinear panel data methods for dynamic heterogeneous agent models," CeMMAP working papers 51/16, Institute for Fiscal Studies.
    13. van Dijk Herman K., 2024. "Challenges and Opportunities for Twenty First Century Bayesian Econometricians: A Personal View," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 28(2), pages 155-176, April.
    14. Ascari, Guido & Bonomolo, Paolo & Haque, Qazi, 2024. "The Long-Run Phillips Curve is ... a Curve," CEPR Discussion Papers 19069, C.E.P.R. Discussion Papers.
    15. Yoosoon Chang & Junior Maih & Fei Tan, 2018. "State Space Models with Endogenous Regime Switching," Working Papers No 9/2018, Centre for Applied Macro- and Petroleum economics (CAMP), BI Norwegian Business School.
    16. Ross Askanazi & Francis X. Diebold & Frank Schorfheide & Minchul Shin, 2018. "On the Comparison of Interval Forecasts," PIER Working Paper Archive 18-013, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania, revised 02 Aug 2018.
    17. Hirokazu Mizobata & Hiroki Toyoda, 2016. "Business Cycles, Asset Prices, and the Frictions of Capital and Labor," KIER Working Papers 953, Kyoto University, Institute of Economic Research.
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