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Serena Ng

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. Serena Ng & Jonathan H. Wright, 2013. "Facts and Challenges from the Great Recession for Forecasting and Macroeconomic Modeling," NBER Working Papers 19469, National Bureau of Economic Research, Inc.

    Mentioned in:

    1. Ng and Wright: Facts and Challenges from the Great Recession for Forecasting and Macroeconomic Modeling
      by Gray in Pseudo-true News on 2013-10-01 09:34:06
  2. Author Profile
    1. A Global Economics Rank of #257 in REPEC's "Recent Publications" Category
      by Matthew Kahn in Environmental and Urban Economics on 2013-10-22 05:29:00
    2. Ranking the Graduate Ph.D Econ Class of 1993
      by Matthew Kahn in Environmental and Urban Economics on 2014-10-04 06:32:00
    3. Peer Group as of April 2015
      by Matthew Kahn in Environmental and Urban Economics on 2015-05-03 19:55:00
    4. The 1993 Econ Ph.D. Cohort
      by Matthew Kahn in Environmental and Urban Economics on 2015-12-04 09:31:00
    5. Peers at Work as of April 2016
      by Matthew Kahn in Environmental and Urban Economics on 2016-05-05 19:49:00
    6. The PHD Economics Cohort from 1993
      by Matthew Kahn in Environmental and Urban Economics on 2017-12-05 05:11:00
    7. Room for Improvement
      by Matthew Kahn in Environmental and Urban Economics on 2018-11-08 22:59:00

RePEc Biblio mentions

As found on the RePEc Biblio, the curated bibliography of Economics:
  1. Serena Ng, 2017. "Opportunities and Challenges: Lessons from Analyzing Terabytes of Scanner Data," NBER Working Papers 23673, National Bureau of Economic Research, Inc.

    Mentioned in:

    1. > Econometrics > Big Data

Wikipedia or ReplicationWiki mentions

(Only mentions on Wikipedia that link back to a page on a RePEc service)
  1. Ng, Serena, 1995. "Review of Coint 2.0," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 10(2), pages 205-210, April-Jun.

    Mentioned in:

    1. Review of coint 2.0 (Journal of Applied Econometrics 1995) in ReplicationWiki ()
  2. 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.

    Mentioned in:

    1. Uncertainty and Business Cycles: Exogenous Impulse or Endogenous Response? (AEJ:MA forthcoming) in ReplicationWiki ()
  3. Ng, Serena, 1995. "Testing for Homogeneity in Demand Systems When the Regressors Are Nonstationary," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 10(2), pages 147-163, April-Jun.

    Mentioned in:

    1. Testing for homogeneity in demand systems when the regressors are nonstationary (Journal of Applied Econometrics 1995) in ReplicationWiki ()

Working papers

  1. Ercument Cahan & Jushan Bai & Serena Ng, 2021. "Factor-Based Imputation of Missing Values and Covariances in Panel Data of Large Dimensions," Papers 2103.03045, arXiv.org, revised Feb 2022.

    Cited by:

    1. Zhou, Ruichao & Wu, Jianhong, 2023. "Determining the number of change-points in high-dimensional factor models by cross-validation with matrix completion," Economics Letters, Elsevier, vol. 232(C).
    2. Christian Fieberg & Daniel Metko & Thorsten Poddig & Thomas Loy, 2023. "Machine learning techniques for cross-sectional equity returns’ prediction," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 45(1), pages 289-323, March.
    3. Helena Chuliá & Sabuhi Khalili & Jorge M. Uribe, 2024. "Monitoring time-varying systemic risk in sovereign debt and currency markets with generative AI," IREA Working Papers 202402, University of Barcelona, Research Institute of Applied Economics, revised Feb 2024.
    4. Juan, Aranzazu de & Poncela, Maria Pilar, 2023. "Economic activity and C02 emissions in Spain," DES - Working Papers. Statistics and Econometrics. WS 37975, Universidad Carlos III de Madrid. Departamento de Estadística.
    5. Giraldo, Carlos & Giraldo, Iader & Gomez-Gonzalez, Jose E. & Uribe, Jorge M., 2024. "High Frequency Monitoring of Credit Creation: A New Tool for Central Banks in Emerging Market Economies," Documentos de trabajo 21077, FLAR.
    6. Jungjun Choi & Ming Yuan, 2023. "Matrix Completion When Missing Is Not at Random and Its Applications in Causal Panel Data Models," Papers 2308.02364, arXiv.org.
    7. Jose E. Gomez-Gonzalez & Jorge M. Uribe & Oscar M. Valencia, 2024. "Asymmetric Sovereign Risk: Implications for Climate Change Preparation," IREA Working Papers 202401, University of Barcelona, Research Institute of Applied Economics, revised Jan 2024.
    8. Aránzazu Juan & Pilar Poncela & Esther Ruiz, 2025. "Economic activity and $$\hbox {CO}_2$$ CO 2 emissions in Spain," Empirical Economics, Springer, vol. 68(3), pages 1379-1408, March.
    9. Matteo Barigozzi & Luca Trapin, 2025. "Quasi maximum likelihood estimation of high-dimensional approximate dynamic matrix factor models via the EM algorithm," Papers 2502.04112, arXiv.org.
    10. Cen, Zetai & Lam, Clifford, 2025. "Tensor time series imputation through tensor factor modelling," LSE Research Online Documents on Economics 127231, London School of Economics and Political Science, LSE Library.

  2. Serena Ng, 2021. "Modeling Macroeconomic Variations After COVID-19," Papers 2103.02732, arXiv.org, revised Jul 2021.

    Cited by:

    1. Danilo Cascaldi-Garcia & Matteo Luciani & Michele Modugno, 2024. "Lessons from nowcasting GDP across the world," Chapters, in: Michael P. Clements & Ana Beatriz Galvão (ed.), Handbook of Research Methods and Applications in Macroeconomic Forecasting, chapter 8, pages 187-217, Edward Elgar Publishing.
    2. Davis, Richard & Ng, Serena, 2023. "Time series estimation of the dynamic effects of disaster-type shocks," Journal of Econometrics, Elsevier, vol. 235(1), pages 180-201.
    3. 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.
    4. Carriero, Andrea & Clark, Todd E. & Marcellino, Massimiliano & Mertens, Elmar, 2022. "Addressing COVID-19 outliers in BVARs with stochastic volatility," Discussion Papers 13/2022, Deutsche Bundesbank.
    5. Chan, Joshua C.C., 2023. "Comparing stochastic volatility specifications for large Bayesian VARs," Journal of Econometrics, Elsevier, vol. 235(2), pages 1419-1446.
    6. Marton Lotz & Daniel Ruf & Johannes Strobel, 2023. "Uncertainty premia in REIT returns," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 51(2), pages 372-407, March.
    7. Casoli, Chiara & Manera, Matteo & Valenti, Daniele, 2022. "Energy shocks in the Euro area: disentangling the pass-through from oil and gas prices to inflation," FEEM Working Papers 329739, Fondazione Eni Enrico Mattei (FEEM).
    8. 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.
    9. Cardani, Roberta & Croitorov, Olga & Giovannini, Massimo & Pfeiffer, Philipp & Ratto, Marco & Vogel, Lukas, 2022. "The euro area’s pandemic recession: A DSGE-based interpretation," Journal of Economic Dynamics and Control, Elsevier, vol. 143(C).
    10. Karin Klieber, 2023. "Non-linear dimension reduction in factor-augmented vector autoregressions," Papers 2309.04821, arXiv.org.
    11. Júlio, Paulo & Maria, José R., 2024. "Trends and cycles during the COVID-19 pandemic period," Economic Modelling, Elsevier, vol. 139(C).
    12. Orkideh Gharehgozli & Sunhyung Lee, 2022. "Money Supply and Inflation after COVID-19," Economies, MDPI, vol. 10(5), pages 1-14, April.
    13. Antolín-Díaz, Juan & Drechsel, Thomas & Petrella, Ivan, 2024. "Advances in nowcasting economic activity: The role of heterogeneous dynamics and fat tails," Journal of Econometrics, Elsevier, vol. 238(2).
    14. Martin Iseringhausen & Konstantinos Theodoridis, 2025. "A survey-based measure of asymmetric macroeconomic risk in the euro area," Working Papers 68, European Stability Mechanism, revised 11 Feb 2025.
    15. Daniele Valenti & Andrea Bastianin & Matteo Manera, 2022. "A weekly structural VAR model of the US crude oil market," Working Papers 2022.11, Fondazione Eni Enrico Mattei.
    16. Camilo Granados & Daniel Parra-Amado, 2023. "Estimating the Output Gap After COVID: How to Address Unprecedented Macroeconomic Variations," Borradores de Economia 1249, Banco de la Republica de Colombia.
    17. Tuzcuoglu, Kerem, 2024. "Nonlinear transmission of international financial stress," Economic Modelling, Elsevier, vol. 139(C).
    18. Jacques Sapir, 2021. "The Economic Shock of the Health Crisis in 2020: Comparing the Scale of Governments Support," Studies on Russian Economic Development, Springer, vol. 32(6), pages 579-592, November.
    19. Kerem Tuzcuoglu, 2023. "Risk Amplification Macro Model (RAMM)," Technical Reports 123, Bank of Canada.
    20. Luigi Infante & Francesca Lilla & Francesco Vercelli, 2023. "The effects of the pandemic on households' financial savings: a Bayesian structural VAR analysis," Temi di discussione (Economic working papers) 1421, Bank of Italy, Economic Research and International Relations Area.
    21. 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, Department of Economics, H. O. Stekler Research Program on Forecasting.
    22. Bańbura, Marta & Belousova, Irina & Bodnár, Katalin & Tóth, Máté Barnabás, 2023. "Nowcasting employment in the euro area," Working Paper Series 2815, European Central Bank.
    23. 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.
    24. Maximo Camacho & Salvador Ramallo & Manuel Ruiz, 2024. "A New Approach to Forecasting the Probability of Recessions after the COVID‐19 Pandemic," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 86(4), pages 833-855, August.
    25. Danilo Cascaldi-Garcia, 2022. "Pandemic Priors," International Finance Discussion Papers 1352, Board of Governors of the Federal Reserve System (U.S.).
    26. Viana, Jr., Dante Baiardo C. & Lourenço, Isabel & Black, Ervin L. & Martins, Orleans Silva, 2023. "Macroeconomic instability, institutions, and earnings management: An analysis in developed and emerging market countries," Journal of International Accounting, Auditing and Taxation, Elsevier, vol. 51(C).
    27. Wei, Yanfeng & Qiu, Feng & An, Henry & Zhang, Xindon & Li, Changhong & Guo, Xiaoying, 2024. "Exogenous oil supply shocks and global agricultural commodity prices: The role of biofuels," International Review of Economics & Finance, Elsevier, vol. 92(C), pages 394-414.
    28. Matteo Barigozzi & Claudio Lissona & Lorenzo Tonni, 2024. "Large datasets for the Euro Area and its member countries and the dynamic effects of the common monetary policy," Papers 2410.05082, arXiv.org.
    29. Haug, Alfred A. & Sznajderska, Anna, 2024. "Government spending multipliers: Is there a difference between government consumption and investment purchases?," Journal of Macroeconomics, Elsevier, vol. 79(C).
    30. 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.
    31. Jens Klose & Peter Tillmann, 2022. "The Real and Financial Impact of COVID-19 Around the World," MAGKS Papers on Economics 202201, Philipps-Universität Marburg, Faculty of Business Administration and Economics, Department of Economics (Volkswirtschaftliche Abteilung).
    32. Francesco Paolo Conteduca & Alessandro Borin, 2022. "A New Dataset for Local and National COVID-19-Related Restrictions in Italy," Italian Economic Journal: A Continuation of Rivista Italiana degli Economisti and Giornale degli Economisti, Springer;Società Italiana degli Economisti (Italian Economic Association), vol. 8(2), pages 435-470, July.
    33. Nicholas Apergis & Emmanuel Apergis, 2025. "Uncertainty and inflation: The role of COVID-19 stabilisation policies-Evidence from OECD countries," International Economics and Economic Policy, Springer, vol. 22(1), pages 1-9, February.
    34. Kohns, David & Potjagailo, Galina, 2023. "Flexible Bayesian MIDAS: time‑variation, group‑shrinkage and sparsity," Bank of England working papers 1025, Bank of England.
    35. Klieber, Karin, 2024. "Non-linear dimension reduction in factor-augmented vector autoregressions," Journal of Economic Dynamics and Control, Elsevier, vol. 159(C).
    36. 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.
    37. Fabrizio Iacone & Luca Rossini & Andrea Viselli, 2024. "Comparing predictive ability in presence of instability over a very short time," Papers 2405.11954, arXiv.org.
    38. Hartwig, Benny, 2022. "Bayesian VARs and prior calibration in times of COVID-19," Discussion Papers 52/2022, Deutsche Bundesbank.

  3. Jean-Jacques Forneron & Serena Ng, 2021. "Estimation and Inference by Stochastic Optimization: Three Examples," Papers 2102.10443, arXiv.org.

    Cited by:

    1. Forneron, Jean-Jacques, 2024. "Estimation and inference by stochastic optimization," Journal of Econometrics, Elsevier, vol. 238(2).
    2. Sokbae Lee & Yuan Liao & Myung Hwan Seo & Youngki Shin, 2022. "Fast Inference for Quantile Regression with Tens of Millions of Observations," Papers 2209.14502, arXiv.org, revised Oct 2023.

  4. Richard Davis & Serena Ng, 2021. "Time Series Estimation of the Dynamic Effects of Disaster-Type Shock," Papers 2107.06663, arXiv.org, revised Mar 2022.

    Cited by:

    1. 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.
    2. Adam Lee & Lukas Hoesch & Geert Mesters, 2022. "Locally Robust Inference for Non-Gaussian SVAR Models," Working Papers 1367, Barcelona School of Economics.
    3. Serena Ng, 2021. "Modeling Macroeconomic Variations After COVID-19," Papers 2103.02732, arXiv.org, revised Jul 2021.
    4. Brandts, Jordi & El Baroudi, Sabrine & Huber, Stefanie J. & Rott, Christina, 2021. "Gender differences in private and public goal setting," Journal of Economic Behavior & Organization, Elsevier, vol. 192(C), pages 222-247.
    5. Lee, Adam & Mesters, Geert, 2024. "Locally robust inference for non-Gaussian linear simultaneous equations models," Journal of Econometrics, Elsevier, vol. 240(1).
    6. Jarociński, Marek, 2021. "Estimating the Fed’s Unconventional Policy Shocks," Working Paper Series 20210, European Central Bank.
    7. Dante Amengual & Gabriele Fiorentini & Enrique Sentana, 2022. "Specification tests for non-Gaussian structural vector autoregressions," Working Papers wp2022_2212, CEMFI.
    8. Geert Mesters & Piotr Zwiernik, 2022. "Non-independent components analysis," Economics Working Papers 1845, Department of Economics and Business, Universitat Pompeu Fabra.
    9. Naeem, Muhammad Abubakr & Senthilkumar, Arunachalam & Arfaoui, Nadia & Mohnot, Rajesh, 2024. "Mapping fear in financial markets: Insights from dynamic networks and centrality measures," Pacific-Basin Finance Journal, Elsevier, vol. 85(C).

  5. Jushan Bai & Serena Ng, 2021. "Approximate Factor Models with Weaker Loadings," Papers 2109.03773, arXiv.org, revised Mar 2023.

    Cited by:

    1. Lihua Lei & Brad Ross, 2023. "Estimating Counterfactual Matrix Means with Short Panel Data," Papers 2312.07520, arXiv.org, revised May 2024.
    2. Songnian Chen & Junlong Feng, 2025. "Robust Quantile Factor Analysis," Papers 2501.15761, arXiv.org.
    3. Matteo Barigozzi & Marc Hallin, 2024. "The Dynamic, the Static, and the Weak factor models and the analysis of high-dimensional time series," Papers 2407.10653, arXiv.org, revised Jan 2025.
    4. Jungjun Choi & Ming Yuan, 2024. "High Dimensional Factor Analysis with Weak Factors," Papers 2402.05789, arXiv.org.
    5. Tae-Hwy Lee & Daanish Padha, 2025. "Forecasting Using Supervised Factors and Idiosyncratic Elements," Working Papers 202502, University of California at Riverside, Department of Economics.
    6. Bin Peng & Liangjun Su & Yayi Yan, 2024. "A Robust Residual-Based Test for Structural Changes in Factor Models," Monash Econometrics and Business Statistics Working Papers 10/24, Monash University, Department of Econometrics and Business Statistics.
    7. Jie Wei & Yonghui Zhang, 2023. "Does Principal Component Analysis Preserve the Sparsity in Sparse Weak Factor Models?," Papers 2305.05934, arXiv.org, revised Nov 2024.
    8. Luca Margaritella & Ovidijus Stauskas, 2024. "New Tests of Equal Forecast Accuracy for Factor-Augmented Regressions with Weaker Loadings," Papers 2409.20415, arXiv.org, revised Oct 2024.
    9. Bailey, N. & Ditzen, J. & Holly, S., 2025. "My neighbour's neighbour is not my neighbour: Instrumentation and causality in spatial models," Cambridge Working Papers in Economics 2501, Faculty of Economics, University of Cambridge.
    10. Jad Beyhum, 2024. "Counterfactuals in factor models," Papers 2401.03293, arXiv.org.
    11. Timothy B. Armstrong & Martin Weidner & Andrei Zeleneev, 2024. "Robust estimation and inference in panels with interactive fixed effects," CeMMAP working papers 28/24, Institute for Fiscal Studies.
    12. Wanbo Lu & Guanglin Huang & Kris Boudt, 2024. "Estimation of Non-Gaussian Factors Using Higher-order Multi-cumulants in Weak Factor Models," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 24/1085, Ghent University, Faculty of Economics and Business Administration.
    13. De Vos, Ignace & Stauskas, Ovidijus, 2024. "Cross-section bootstrap for CCE regressions," Journal of Econometrics, Elsevier, vol. 240(1).
    14. Jianqing Fan & Yuling Yan & Yuheng Zheng, 2024. "When can weak latent factors be statistically inferred?," Papers 2407.03616, arXiv.org, revised Sep 2024.
    15. Christian Brownlees & Gu{dh}mundur Stef'an Gu{dh}mundsson & Yaping Wang, 2024. "Performance of Empirical Risk Minimization For Principal Component Regression," Papers 2409.03606, arXiv.org, revised Sep 2024.
    16. Diego Fresoli & Pilar Poncela & Esther Ruiz, 2024. "Dealing with idiosyncratic cross-correlation when constructing confidence regions for PC factors," Papers 2407.06883, arXiv.org.
    17. Van Deun, Katrijn & Lê, Trà T. & Malinowski, Jakub & Mols, Floortje & Schoormans, Dounya, 2025. "Regularized multigroup exploratory approximate factor analysis for easy analysis of complex data," OSF Preprints 9twbk_v1, Center for Open Science.
    18. Jungjun Choi & Hyukjun Kwon & Yuan Liao, 2023. "Inference for Low-rank Models without Estimating the Rank," Papers 2311.16440, arXiv.org, revised Oct 2024.

  6. Jushan Bai & Serena Ng, 2020. "Simpler Proofs for Approximate Factor Models of Large Dimensions," Papers 2008.00254, arXiv.org.

    Cited by:

    1. Jonas Krampe & Luca Margaritella, 2021. "Factor Models with Sparse VAR Idiosyncratic Components," Papers 2112.07149, arXiv.org, revised May 2022.
    2. Matteo Barigozzi, 2022. "On Estimation and Inference of Large Approximate Dynamic Factor Models via the Principal Component Analysis," Papers 2211.01921, arXiv.org, revised Jul 2023.
    3. Matteo Barigozzi, 2023. "Quasi Maximum Likelihood Estimation of High-Dimensional Factor Models: A Critical Review," Papers 2303.11777, arXiv.org, revised May 2024.
    4. Helena Chuliá & Ignacio Garrón & Jorge M. Uribe, 2021. ""Vulnerable Funding in the Global Economy"," IREA Working Papers 202106, University of Barcelona, Research Institute of Applied Economics, revised Mar 2021.
    5. Yiren Wang & Liangjun Su & Yichong Zhang, 2022. "Low-rank Panel Quantile Regression: Estimation and Inference," Papers 2210.11062, arXiv.org.
    6. Philipp Gersing & Matteo Barigozzi & Christoph Rust & Manfred Deistler, 2023. "The Canonical Decomposition of Factor Models: Weak Factors are Everywhere," Papers 2307.10067, arXiv.org, revised Feb 2025.

  7. Evan M. Munro & Serena Ng, 2020. "Latent Dirichlet Analysis of Categorical Survey Expectations," NBER Working Papers 27182, National Bureau of Economic Research, Inc.

    Cited by:

    1. Joao, Igor Custodio & Lucas, André & Schaumburg, Julia & Schwaab, Bernd, 2021. "Dynamic clustering of multivariate panel data," Working Paper Series 2577, European Central Bank.
    2. Szymon Sacher & Laura Battaglia & Stephen Hansen, 2021. "Hamiltonian Monte Carlo for Regression with High-Dimensional Categorical Data," Papers 2107.08112, arXiv.org, revised Feb 2024.

  8. Jean-Jacques Forneron & Serena Ng, 2020. "Inference by Stochastic Optimization: A Free-Lunch Bootstrap," Papers 2004.09627, arXiv.org, revised Sep 2020.

    Cited by:

    1. Jean-Jacques Forneron, 2022. "Estimation and Inference by Stochastic Optimization," Papers 2205.03254, arXiv.org.
    2. Forneron, Jean-Jacques, 2024. "Estimation and inference by stochastic optimization," Journal of Econometrics, Elsevier, vol. 238(2).

  9. Michael W. McCracken & Serena Ng, 2020. "FRED-QD: A Quarterly Database for Macroeconomic Research," Working Papers 2020-005, Federal Reserve Bank of St. Louis.

    Cited by:

    1. Baruník, Jozef & Hanus, Luboš, 2024. "Fan charts in era of big data and learning," Finance Research Letters, Elsevier, vol. 61(C).
    2. Leu, Shawn C.-Y. & Robertson, Mari L., 2021. "Mortgage credit volumes and monetary policy after the Great Recession," Economic Modelling, Elsevier, vol. 94(C), pages 483-500.
    3. Dimitris Korobilis & Maximilian Schröder, 2023. "Probabilistic Quantile Factor Analysis," Working Papers No 05/2023, Centre for Applied Macro- and Petroleum economics (CAMP), BI Norwegian Business School.
    4. Yongxia Zhang & Qi Wang & Maozai Tian, 2022. "Smoothed Quantile Regression with Factor-Augmented Regularized Variable Selection for High Correlated Data," Mathematics, MDPI, vol. 10(16), pages 1-30, August.
    5. Moench, Emanuel & Soofi-Siavash, Soroosh, 2022. "What moves treasury yields?," Journal of Financial Economics, Elsevier, vol. 146(3), pages 1016-1043.
    6. Brianti, Marco & Cormun, Vito, 2023. "Expectation-Driven Boom-Bust Cycles," Working Papers 2023-4, University of Alberta, Department of Economics.
    7. Tiziana Assenza & Fabrice Collard & Patrick Fève & Stefanie Huber, 2024. "From Buzz to Bust: How Fake News Shapes the Business Cycle," ECONtribute Discussion Papers Series 287, University of Bonn and University of Cologne, Germany.
    8. Florian Huber & Gary Koop, 2021. "Subspace Shrinkage in Conjugate Bayesian Vector Autoregressions," Papers 2107.07804, arXiv.org.
    9. Masud Alam, 2021. "Time Varying Risk in U.S. Housing Sector and Real Estate Investment Trusts Equity Return," Papers 2107.10455, arXiv.org.
    10. Ballarin, Giovanni & Dellaportas, Petros & Grigoryeva, Lyudmila & Hirt, Marcel & van Huellen, Sophie & Ortega, Juan-Pablo, 2024. "Reservoir computing for macroeconomic forecasting with mixed-frequency data," International Journal of Forecasting, Elsevier, vol. 40(3), pages 1206-1237.
    11. Yunyun Wang & Tatsushi Oka & Dan Zhu, 2024. "Inflation Target at Risk: A Time-varying Parameter Distributional Regression," Papers 2403.12456, arXiv.org.
    12. Philippe Goulet Coulombe & Maxime Leroux & Dalibor Stevanovic & St'ephane Surprenant, 2020. "Macroeconomic Data Transformations Matter," Papers 2008.01714, arXiv.org, revised Mar 2021.
    13. Philippe Goulet Coulombe, 2021. "Slow-Growing Trees," Papers 2103.01926, arXiv.org, revised Jul 2021.
      • Philippe Goulet Coulombe, 2021. "Slow-Growing Trees," Working Papers 21-02, Chair in macroeconomics and forecasting, University of Quebec in Montreal's School of Management.
    14. Chan, Joshua C.C., 2023. "Comparing stochastic volatility specifications for large Bayesian VARs," Journal of Econometrics, Elsevier, vol. 235(2), pages 1419-1446.
    15. Chang, Yoosoon & Kwak, Boreum & Qiu, Shi, 2021. "U.S. monetary and fiscal policy regime changes and their interactions," IWH Discussion Papers 12/2021, Halle Institute for Economic Research (IWH).
    16. Gomez-Gonzalez, Jose E. & Hirs-Garzón, Jorge & Uribe, Jorge M., 2022. "Interdependent capital structure choices and the macroeconomy," The North American Journal of Economics and Finance, Elsevier, vol. 62(C).
    17. Philippe Goulet Coulombe, 2021. "The Macroeconomy as a Random Forest," Working Papers 21-05, Chair in macroeconomics and forecasting, University of Quebec in Montreal's School of Management.
    18. Philippe Goulet Coulombe & Mikael Frenette & Karin Klieber, 2023. "From Reactive to Proactive Volatility Modeling with Hemisphere Neural Networks," Working Papers 23-04, Chair in macroeconomics and forecasting, University of Quebec in Montreal's School of Management, revised Nov 2023.
    19. Camacho, Maximo & Lopez-Buenache, German, 2023. "Factor models for large and incomplete data sets with unknown group structure," International Journal of Forecasting, Elsevier, vol. 39(3), pages 1205-1220.
    20. 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.
    21. Zhenzhong Wang & Zhengyuan Zhu & Cindy Yu, 2020. "Variable Selection in Macroeconomic Forecasting with Many Predictors," Papers 2007.10160, arXiv.org.
    22. Korobilis, Dimitris & Koop, Gary, 2020. "Bayesian dynamic variable selection in high dimensions," MPRA Paper 100164, University Library of Munich, Germany.
    23. David Kohns & Tibor Szendrei, 2021. "Decoupling Shrinkage and Selection for the Bayesian Quantile Regression," Papers 2107.08498, arXiv.org.
    24. Philippe Goulet Coulombe & Maximilian Goebel & Karin Klieber, 2024. "Dual Interpretation of Machine Learning Forecasts," Papers 2412.13076, arXiv.org.
    25. 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.
    26. Iseringhausen, Martin & Petrella, Ivan & Theodoridis, Konstantinos, 2021. "Aggregate Skewness and the Business Cycle," Cardiff Economics Working Papers E2021/30, Cardiff University, Cardiff Business School, Economics Section.
    27. 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).
    28. Karin Klieber, 2023. "Non-linear dimension reduction in factor-augmented vector autoregressions," Papers 2309.04821, arXiv.org.
    29. Ryan Cumings-Menon & Minchul Shin, 2020. "Probability Forecast Combination via Entropy Regularized Wasserstein Distance," Working Papers 20-31/R, Federal Reserve Bank of Philadelphia.
    30. Liao, Jun & Zou, Guohua & Gao, Yan & Zhang, Xinyu, 2021. "Model averaging prediction for time series models with a diverging number of parameters," Journal of Econometrics, Elsevier, vol. 223(1), pages 190-221.
    31. Eugster, Patrick & Uhl, Matthias W., 2024. "Forecasting inflation using sentiment," Economics Letters, Elsevier, vol. 236(C).
    32. Morley, James & Rodríguez-Palenzuela, Diego & Sun, Yiqiao & Wong, Benjamin, 2023. "Estimating the euro area output gap using multivariate information and addressing the COVID-19 pandemic," European Economic Review, Elsevier, vol. 153(C).
    33. 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.
    34. Szydlo, Jan, 2023. "Forecasting Credit Dynamics : VAR, VECM or modern Factor-Augmented VAR approach?," Warwick-Monash Economics Student Papers 63, Warwick Monash Economics Student Papers.
    35. Martinoli, Mario & Moneta, Alessio & Pallante, Gianluca, 2024. "Calibration and validation of macroeconomic simulation models by statistical causal search," Journal of Economic Behavior & Organization, Elsevier, vol. 228(C).
    36. Florian Huber & Gary Koop, 2024. "Fast and order‐invariant inference in Bayesian VARs with nonparametric shocks," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 39(7), pages 1301-1320, November.
    37. Paul Carrillo-Maldonado & Javier Díaz-Cassou & Miguel Flores, 2023. "What are the main variables that influence the dynamics of Ecuador’s sovereign risk?," Journal of Applied Economics, Taylor & Francis Journals, vol. 26(1), pages 2158009-215, December.
    38. Ziwei Mei & Zhentao Shi & Peter C. B. Phillips, 2022. "The boosted HP filter is more general than you might think," Cowles Foundation Discussion Papers 2348, Cowles Foundation for Research in Economics, Yale University.
    39. Todd E. Clark & Florian Huber & Gary Koop & Massimiliano Marcellino, 2022. "Forecasting US Inflation Using Bayesian Nonparametric Models," Papers 2202.13793, arXiv.org.
    40. Xiao Huang, 2023. "Composite Quantile Factor Model," Papers 2308.02450, arXiv.org, revised Nov 2024.
    41. Alain Hecq & Marie Ternes & Ines Wilms, 2021. "Hierarchical Regularizers for Mixed-Frequency Vector Autoregressions," Papers 2102.11780, arXiv.org, revised Mar 2022.
    42. Martin Iseringhausen & Konstantinos Theodoridis, 2025. "A survey-based measure of asymmetric macroeconomic risk in the euro area," Working Papers 68, European Stability Mechanism, revised 11 Feb 2025.
    43. Ahmed, M. Iqbal & Farah, Quazi Fidia, 2022. "On the macroeconomic effects of news about innovations of information technology," Journal of Macroeconomics, Elsevier, vol. 71(C).
    44. Jie Wei & Yonghui Zhang, 2023. "Does Principal Component Analysis Preserve the Sparsity in Sparse Weak Factor Models?," Papers 2305.05934, arXiv.org, revised Nov 2024.
    45. Orlando Joaqui-Barandica & Diego F. Manotas-Duque & Jorge M. Uribe-Gil, 2021. ""Commonality, macroeconomic factors and banking profitability"," IREA Working Papers 202113, University of Barcelona, Research Institute of Applied Economics, revised Jun 2021.
    46. Barigozzi, Matteo & Lippi, Marco & Luciani, Matteo, 2021. "Large-dimensional Dynamic Factor Models: Estimation of Impulse–Response Functions with I(1) cointegrated factors," Journal of Econometrics, Elsevier, vol. 221(2), pages 455-482.
    47. Funovits, Bernd, 2024. "Identifiability and estimation of possibly non-invertible SVARMA Models: The normalised canonical WHF parametrisation," Journal of Econometrics, Elsevier, vol. 241(2).
    48. Ba Chu & Shafiullah Qureshi, 2021. "Comparing Out-of-Sample Performance of Machine Learning Methods to Forecast U.S. GDP Growth," Carleton Economic Papers 21-12, Carleton University, Department of Economics.
    49. Christian Bayer & Luis Calderon & Moritz Kuhn, 2025. "Distributional Dynamics," CRC TR 224 Discussion Paper Series crctr224_2025_625, University of Bonn and University of Mannheim, Germany.
    50. Carrillo-Maldonado, Paul & Díaz-Cassou, Javier, 2023. "An anatomy of external shocks in the Andean region," The Journal of Economic Asymmetries, Elsevier, vol. 27(C).
    51. Moramarco, Graziano, 2024. "Financial-cycle ratios and medium-term predictions of GDP: Evidence from the United States," International Journal of Forecasting, Elsevier, vol. 40(2), pages 777-795.
    52. Creal, Drew & Kim, Jaeho, 2024. "Bayesian estimation of cluster covariance matrices of unknown form," Journal of Econometrics, Elsevier, vol. 241(1).
    53. Anna Mikusheva & Mikkel S{o}lvsten, 2023. "Linear Regression with Weak Exogeneity," Papers 2308.08958, arXiv.org, revised Jan 2024.
    54. Philippe Goulet Coulombe, 2021. "To Bag is to Prune," Working Papers 21-03, Chair in macroeconomics and forecasting, University of Quebec in Montreal's School of Management, revised Jun 2021.
    55. 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.
    56. Ho, Paul & Lubik, Thomas A. & Matthes, Christian, 2024. "Averaging impulse responses using prediction pools," Journal of Monetary Economics, Elsevier, vol. 146(C).
    57. Matteo Barigozzi & Claudio Lissona & Lorenzo Tonni, 2024. "Large datasets for the Euro Area and its member countries and the dynamic effects of the common monetary policy," Papers 2410.05082, arXiv.org.
    58. Marc Anderes, 2023. "Housing demand shocks and households’ balance sheets," Empirical Economics, Springer, vol. 65(6), pages 2711-2749, December.
    59. Jozef Barunik & Lubos Hanus, 2022. "Learning Probability Distributions in Macroeconomics and Finance," Papers 2204.06848, arXiv.org.
    60. Xin Sheng & Rangan Gupta & Qiang Ji, 2023. "The Effects of Disaggregate Oil Shocks on the Aggregate Expected Skewness of the United States," Risks, MDPI, vol. 11(11), pages 1-9, October.
    61. Juho Koistinen & Bernd Funovits, 2022. "Estimation of Impulse-Response Functions with Dynamic Factor Models: A New Parametrization," Papers 2202.00310, arXiv.org, revised Feb 2022.
    62. Ying Lun Cheung, 2024. "Identification of Time-Varying Factor Models," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 42(1), pages 76-94, January.
    63. Afees A. Salisu & Rangan Gupta & Ahamuefula E. Ogbonna, 2020. "Point and Density Forecasting of Macroeconomic and Financial Uncertainties of the United States," Working Papers 202058, University of Pretoria, Department of Economics.
    64. Mai Dao & Lam Nguyen, 2025. "Variable selection in macroeconomic stress test: a Bayesian quantile regression approach," Empirical Economics, Springer, vol. 68(3), pages 1113-1169, March.
    65. Klieber, Karin, 2024. "Non-linear dimension reduction in factor-augmented vector autoregressions," Journal of Economic Dynamics and Control, Elsevier, vol. 159(C).
    66. Iania, Leonardo & Algieri, Bernardina & Leccadito, Arturo, 2022. "Forecasting total energy’s CO2 emissions," LIDAM Discussion Papers LFIN 2022003, Université catholique de Louvain, Louvain Finance (LFIN).
    67. Philippe Goulet Coulombe, 2020. "Time-Varying Parameters as Ridge Regressions," Papers 2009.00401, arXiv.org, revised Nov 2024.
    68. Hartwig, Benny, 2022. "Bayesian VARs and prior calibration in times of COVID-19," Discussion Papers 52/2022, Deutsche Bundesbank.
    69. Direye, Eli & Khemraj, Tarron, 2021. "Central bank securities and FX market intervention in a developing economy," MPRA Paper 111533, University Library of Munich, Germany, revised 09 Aug 2021.
    70. Marc Anderes, 2021. "Housing Demand Shocks and Households Balance Sheets," KOF Working papers 21-492, KOF Swiss Economic Institute, ETH Zurich.
    71. Aromi, J. Daniel & Clements, Adam, 2021. "Facial expressions and the business cycle," Economic Modelling, Elsevier, vol. 102(C).
    72. Luis Gruber & Gregor Kastner, 2022. "Forecasting macroeconomic data with Bayesian VARs: Sparse or dense? It depends!," Papers 2206.04902, arXiv.org, revised Feb 2025.

  10. Sydney C. Ludvigson & Sai Ma & Serena Ng, 2020. "COVID-19 and The Macroeconomic Effects of Costly Disasters," NBER Working Papers 26987, National Bureau of Economic Research, Inc.

    Cited by:

    1. Lorenzo Pozzi & Barbara Sadaba, 2023. "Macroeconomic Disasters and Consumption Smoothing: International Evidence from Historical Data," Staff Working Papers 23-4, Bank of Canada.
    2. Razmi, Seyedeh Fatemeh & Razmi, Seyed Mohammad Javad, 2023. "The role of stock markets in the US, Europe, and China on oil prices before and after the COVID-19 announcement," Resources Policy, Elsevier, vol. 81(C).
    3. Bloise, Francesco & Tancioni, Massimiliano, 2021. "Predicting the spread of COVID-19 in Italy using machine learning: Do socio-economic factors matter?," Structural Change and Economic Dynamics, Elsevier, vol. 56(C), pages 310-329.
    4. 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.
    5. Francesco Bianchi & Giada Bianchi & Dongho Song, 2020. "The Long-Term Impact of the COVID-19 Unemployment Shock on Life Expectancy and Mortality Rates," NBER Working Papers 28304, National Bureau of Economic Research, Inc.
    6. Serhan Cevik, 2024. "Good Will Hunting: Do Disasters Make Us More Charitable?," Annals of Economics and Finance, Society for AEF, vol. 25(1), pages 275-287, May.
    7. Benjamin Fomba Kamga & Rodrigue Nda'Chi Deffo, 2022. "Analysis of the resilience strategies of Cameroonian companies in the face of Covid‐19 and their effects on activity," Journal of International Development, John Wiley & Sons, Ltd., vol. 34(4), pages 880-897, May.
    8. David Baqaee & Emmanuel Farhi & Michael J. Mina & James H. Stock, 2020. "Reopening Scenarios," NBER Working Papers 27244, National Bureau of Economic Research, Inc.
    9. Alexander Chudik & Kamiar Mohaddes & M. Hashem Pesaran & Mehdi Raissi & Alessandro Rebucci, 2020. "A Counterfactual Economic Analysis of Covid-19 Using a Threshold Augmented Multi-Country Model," CESifo Working Paper Series 8588, CESifo.
    10. Dieppe,Alistair Matthew & Kilic Celik,Sinem & Okou,Cedric Iltis Finafa, 2020. "Implications of Major Adverse Events on Productivity," Policy Research Working Paper Series 9411, The World Bank.
    11. Heather Anderson & Giovanni Caggiano & Farshid Vahid & Benjamin Wong, 2020. "Sectoral employment dynamics in Australia," CAMA Working Papers 2020-51, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    12. Brodeur, Abel & Gray, David & Islam, Anik & Bhuiyan, Suraiya Jabeen, 2020. "A Literature Review of the Economics of COVID-19," GLO Discussion Paper Series 601, Global Labor Organization (GLO).
    13. Juan Andres Espinosa-Torres & Jaime Ramirez-Cuellar, 2023. "The Effects of the Pandemic on Market Power and Profitability," Papers 2303.08765, arXiv.org.
    14. Miescu, Mirela & Rossi, Raffaele, 2021. "COVID-19-induced shocks and uncertainty," European Economic Review, Elsevier, vol. 139(C).
    15. Filippo Ferroni & Jonas D. M. Fisher & Leonardo Melosi, 2022. "Usual Shocks in our Usual Models," Working Paper Series WP 2022-39, Federal Reserve Bank of Chicago.
    16. Álvaro H. Chaves Castro, 2021. "Análisis sobre la evolución del COVID-19 en Colombia: ¿se alcanzará el pico de contagio?," Tiempo y Economía, Universidad de Bogotá Jorge Tadeo Lozano, vol. 8(1), pages 123-160, January.
    17. Sabrina Howell & Josh Lerner & Ramana Nanda & Richard Townsend, 2020. "Financial Distancing: How Venture Capital Follows the Economy Down and Curtails Innovation," Harvard Business School Working Papers 20-115, Harvard Business School.
    18. Takeshi Shinohara & Tatsushi Okuda & Jouchi Nakajima, 2020. "Characteristics of Uncertainty Indices in the Macroeconomy," Bank of Japan Working Paper Series 20-E-6, Bank of Japan.
    19. Mikkel Plagborg‐Møller & Christian K. Wolf, 2021. "Local Projections and VARs Estimate the Same Impulse Responses," Econometrica, Econometric Society, vol. 89(2), pages 955-980, March.
    20. Hee Soo (test record) Kim & Christian Matthes & Toan Phan, 2011. "Extreme Weather and the Macroeconomy," Working Paper 21-14, Federal Reserve Bank of Richmond.
    21. Caggiano, Giovanni & Castelnuovo, Efrem & Kima, Richard, 2020. "The global effects of Covid-19-induced uncertainty," Economics Letters, Elsevier, vol. 194(C).
    22. Christina Wieser & Girum Abebe & Adamsu Asfaw, 2021. "How Have Firms Fared in Times of COVID-19 in Addis Ababa?," World Bank Publications - Reports 36664, The World Bank Group.
    23. Ravenna, Federico & Pellegrino, Giovanni & Züllig, Gabriel, 2020. "The Impact of Pessimistic Expectations on the Effects of COVID-19-Induced Uncertainty in the Euro Area," CEPR Discussion Papers 15321, C.E.P.R. Discussion Papers.
    24. William Ridley & Sherzod B. Akhundjanov & Stephen Devadoss, 2023. "The COVID‐19 pandemic and trade in agricultural products," The World Economy, Wiley Blackwell, vol. 46(8), pages 2432-2455, August.
    25. Gallego, Jorge & Prem, Mounu & Vargas, Juan F., 2020. "Corruption in the Times of Pandemia," Working papers 43, Red Investigadores de Economía.
    26. Tsai, I-Chun, 2022. "Changes in social behavior and impacts of the COVID-19 pandemic on regional housing markets: Independence and risk," Journal of Behavioral and Experimental Finance, Elsevier, vol. 35(C).
    27. Kizys, Renatas & Tzouvanas, Panagiotis & Donadelli, Michael, 2021. "From COVID-19 herd immunity to investor herding in international stock markets: The role of government and regulatory restrictions," International Review of Financial Analysis, Elsevier, vol. 74(C).
    28. Masayuki MORIKAWA, 2021. "Uncertainty of Firms' Economic Outlook During the COVID-19 Crisis," Discussion papers 21042, Research Institute of Economy, Trade and Industry (RIETI).
    29. William Ginn, 2022. "Climate Disasters and the Macroeconomy: Does State-Dependence Matter? Evidence for the US," Economics of Disasters and Climate Change, Springer, vol. 6(1), pages 141-161, March.
    30. Thiago Christiano Silva & Carlos Eduardo de Almeida & Solange Maria Guerra & Benjamin Miranda Tabak, 2024. "COVID-19 and Credit Reallocation: evidence from bank branch lending in Brazil," Working Papers Series 601, Central Bank of Brazil, Research Department.
    31. Kong, Edward & Prinz, Daniel, 2020. "Disentangling policy effects using proxy data: Which shutdown policies affected unemployment during the COVID-19 pandemic?," Journal of Public Economics, Elsevier, vol. 189(C).
    32. Magdalena Olczyk & Marta Ewa Kuc-Czarnecka, 2021. "Determinants of COVID-19 Impact on the Private Sector: A Multi-Country Analysis Based on Survey Data," Energies, MDPI, vol. 14(14), pages 1-17, July.
    33. Vito Polito & Yunyi Zhang, 2021. "Tackling Large Outliers in Macroeconomic Data with Vector Artificial Neural Network Autoregression," CESifo Working Paper Series 9395, CESifo.
    34. Alin Marius Andries & Steven Ongena & Nicu Sprincean, 2020. "The COVID-19 Pandemic and Sovereign Bond Risk," Swiss Finance Institute Research Paper Series 20-42, Swiss Finance Institute.
    35. Sabrina T. Howell & Josh Lerner & Ramana Nanda & Richard R. Townsend, 2020. "How Resilient is Venture-Backed Innovation? Evidence from Four Decades of U.S. Patenting," NBER Working Papers 27150, National Bureau of Economic Research, Inc.
    36. Nguyen Phuc Canh & Su Dinh Thanh, 2022. "The Dynamics of Export Diversification, Economic Complexity and Economic Growth Cycles: Global Evidence," Foreign Trade Review, , vol. 57(3), pages 234-260, August.
    37. Ilan Noy & Nguyen Doan & Benno Ferrarini & Donghyun Park, 2020. "Measuring the Economic Risk of Covid-19," CESifo Working Paper Series 8373, CESifo.
    38. Apergis, Nicholas & Danuletiu, Dan & Xu, Bing, 2022. "CDS spreads and COVID-19 pandemic," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 76(C).
    39. Martin Forster & Emanuela Randon, 2020. "Epidemic policy under uncertainty and information," Discussion Papers 20/05, Department of Economics, University of York.
    40. Juan M. Londono & Sai Ma & Beth Anne Wilson, 2021. "The Global Transmission of Real Economic Uncertainty," International Finance Discussion Papers 1317, Board of Governors of the Federal Reserve System (U.S.).
    41. Giovanni Abramo & Ciriaco Andrea D’Angelo & Ida Mele, 2022. "Impact of Covid-19 on research output by gender across countries," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(12), pages 6811-6826, December.
    42. Tomás Gómez Rodríguez & Humberto Ríos Bolívar & Adriana Zambrano Reyes, 2021. "Volatilidad y COVID-19: evidencia empírica internacional," Remef - Revista Mexicana de Economía y Finanzas Nueva Época REMEF (The Mexican Journal of Economics and Finance), Instituto Mexicano de Ejecutivos de Finanzas, IMEF, vol. 16(3), pages 1-20, Julio - S.
    43. Tsai, I-Chun & Chiang, Ying-Hui & Lin, Shih-Yuan, 2022. "Effect of COVID-19 lockdowns on city-center and suburban housing markets: Evidence from Hangzhou, China," Journal of Asian Economics, Elsevier, vol. 83(C).
    44. Jens Klose & Peter Tillmann, 2022. "The Real and Financial Impact of COVID-19 Around the World," MAGKS Papers on Economics 202201, Philipps-Universität Marburg, Faculty of Business Administration and Economics, Department of Economics (Volkswirtschaftliche Abteilung).
    45. Galiani, Sebastian, 2022. "Pandemic economics," Journal of Economic Behavior & Organization, Elsevier, vol. 193(C), pages 269-275.
    46. Horvath, Akos & Kay, Benjamin & Wix, Carlo, 2023. "The COVID-19 shock and consumer credit: Evidence from credit card data," Journal of Banking & Finance, Elsevier, vol. 152(C).
    47. Christopher Cotton & Bahman Kashi & Huw Lloyd-Ellis & Frederic Tremblay, 2020. "Quantifying the Economic Impacts of COVID-19 Policy Responses on Canada's Provinces in (Almost) Real Time," Working Paper 1441, Economics Department, Queen's University.
    48. Dreger, Christian & Gros, Daniel, 2021. "Lockdowns and the US Unemployment Crisis," IZA Policy Papers 170, Institute of Labor Economics (IZA).
    49. Charles Goodhart & Donato Masciandaro & Stefano Ugolini, 2022. "Pandemic Recession and Helicopter Money: Venice, 1629--1631," Papers 2201.07181, arXiv.org.
    50. AITOUTOUHEN, latifa, 2021. "Study of the Socio-Economic Impact of the COVID-19 Crisis in Morocco," MPRA Paper 111114, University Library of Munich, Germany, revised 15 Dec 2021.
    51. Fabian Stephany & Leonie Neuhäuser & Niklas Stoehr & Philipp Darius & Ole Teutloff & Fabian Braesemann, 2022. "The CoRisk-Index: a data-mining approach to identify industry-specific risk perceptions related to Covid-19," Palgrave Communications, Palgrave Macmillan, vol. 9(1), pages 1-15, December.
    52. Doojav, Gan-Ochir, 2021. "Socio-economic recovery from the Covid-19 pandemic: Macroeconomic impacts and policy issues in Mongolia," MPRA Paper 111197, University Library of Munich, Germany.
    53. Constanza Fosco & Felipe Zurita, 2021. "Assessing the short-run effects of lockdown policies on economic activity, with an application to the Santiago Metropolitan Region, Chile," PLOS ONE, Public Library of Science, vol. 16(6), pages 1-23, June.
    54. Verónica Acurio Vásconez & Olivier Damette & David W. Shanafelt, 2021. "Macroepidemics and unconventional monetary policy: Coupling macroeconomics and epidemiology in a financial DSGE-SIR framework," Working Papers of BETA 2021-04, Bureau d'Economie Théorique et Appliquée, UDS, Strasbourg.
    55. Xingtian Chen & Wei Gong & Xiaoxu Wu & Wenwu Zhao, 2021. "Estimating Economic Losses Caused by COVID-19 under Multiple Control Measure Scenarios with a Coupled Infectious Disease—Economic Model: A Case Study in Wuhan, China," IJERPH, MDPI, vol. 18(22), pages 1-19, November.
    56. Thiago Christiano Silva & Carlos Eduardo de Almeida, 2024. "COVID-19 and Supply Chain Disruptions: a novel perspective using a network of payments in Brazil," Working Papers Series 595, Central Bank of Brazil, Research Department.
    57. M. O. Oleche & D. K. Manda & R. G. Mutegi & S. Kipruto & M. K. Muriithi & P. Samoei & A. W. Ndirangu & G. Mwabu, 2023. "The gendered impacts of COVID-19 and business closure due to lockdown on wage employment in Kenya," Journal of Economic Policy and Management Issues, JEPMI, vol. 2(2), pages 31-48.
    58. Afees A. Salisu & Idris A. Adediran & Rangan Gupta, 2021. "A Note on the COVID-19 Shock and Real GDP in Emerging Economies: A Counterfactual Analysis from the Threshold-Augmented Global Vector Autoregressive Model," Working Papers 202149, University of Pretoria, Department of Economics.
    59. Meinen, Philipp & Serafini, Roberta & Papagalli, Ottavia, 2021. "Regional economic impact of Covid-19: the role of sectoral structure and trade linkages," Working Paper Series 2528, European Central Bank.
    60. Gan-Ochir Doojav, 2023. "Macroeconomic Effects of Covid-19 in a Commodity-Exporting Economy: Evidence from Mongolia," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 59(5), pages 1323-1348, April.
    61. Yang, Bixuan & Asche, Frank & Li, Tao, 2021. "Food Price Inflation and Demand Shocks: Evidence from Chinese Cities during the Covid-19 Epidemic," 2021 Annual Meeting, August 1-3, Austin, Texas 314067, Agricultural and Applied Economics Association.
    62. Anna Dubinova & Andre Lucas & Sean Telg, 2021. "COVID-19, Credit Risk and Macro Fundamentals," Tinbergen Institute Discussion Papers 21-059/III, Tinbergen Institute.
    63. 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.
    64. Norden, Lars & Mesquita, Daniel & Wang, Weichao, 2021. "COVID-19, policy interventions and credit: The Brazilian experience," Journal of Financial Intermediation, Elsevier, vol. 48(C).

  11. Sokbae Lee & Serena Ng, 2020. "Least Squares Estimation Using Sketched Data with Heteroskedastic Errors," Papers 2007.07781, arXiv.org, revised Jun 2022.

    Cited by:

    1. Gupta, Joyeeta & Bavinck, Maarten & Ros-Tonen, Mirjam & Asubonteng, Kwabena & Bosch, Hilmer & van Ewijk, Edith & Hordijk, Michaela & Van Leynseele, Yves & Lopes Cardozo, Mieke & Miedema, Esther & Pouw, 2021. "COVID-19, poverty and inclusive development," World Development, Elsevier, vol. 145(C).
    2. Harold D Chiang & Yuya Sasaki, 2023. "On Using The Two-Way Cluster-Robust Standard Errors," Papers 2301.13775, arXiv.org.
    3. Sokbae Lee & Yuan Liao & Myung Hwan Seo & Youngki Shin, 2022. "Fast Inference for Quantile Regression with Tens of Millions of Observations," Papers 2209.14502, arXiv.org, revised Oct 2023.
    4. Hensher, David A., 2021. "The case for negotiated contracts under the transition to a green bus fleet," Transportation Research Part A: Policy and Practice, Elsevier, vol. 154(C), pages 255-269.
    5. Günther, Jutta (Ed.) & Wedemeier, Jan (Ed.), 2020. "Struktureller Umbruch durch COVID-19: Implikationen für die Innovationspolitik im Land Bremen," HWWI Policy Papers 128, Hamburg Institute of International Economics (HWWI).

  12. Evan Munro & Serena Ng, 2019. "Latent Dirichlet Analysis of Categorical Survey Responses," Papers 1910.04883, arXiv.org, revised Jul 2020.

    Cited by:

    1. Igor Custodio João, 2024. "Testing for Clustering Under Switching," Tinbergen Institute Discussion Papers 24-052/III, Tinbergen Institute.
    2. Laura Battaglia & Timothy Christensen & Stephen Hansen & Szymon Sacher, 2025. "Inference for Regression with Variables Generated by AI or Machine Learning," Cowles Foundation Discussion Papers 2421, Cowles Foundation for Research in Economics, Yale University.
    3. Joao, Igor Custodio & Lucas, André & Schaumburg, Julia & Schwaab, Bernd, 2021. "Dynamic clustering of multivariate panel data," Working Paper Series 2577, European Central Bank.
    4. Szymon Sacher & Laura Battaglia & Stephen Hansen, 2021. "Hamiltonian Monte Carlo for Regression with High-Dimensional Categorical Data," Papers 2107.08112, arXiv.org, revised Feb 2024.
    5. Ariel Neufeld & Matthew Ng Cheng En & Ying Zhang, 2024. "Robust SGLD algorithm for solving non-convex distributionally robust optimisation problems," Papers 2403.09532, arXiv.org, revised Mar 2025.
    6. Battaglia, Laura & Christensen, Tim & Hansen, Stephen & Sacher, Szymon, 2024. "Inference for Regression with Variables Generated from Unstructured Data," CEPR Discussion Papers 19115, C.E.P.R. Discussion Papers.
    7. Bernd Prostmaier & Jan V'avra & Bettina Grun & Paul Hofmarcher, 2025. "Seeded Poisson Factorization: Leveraging domain knowledge to fit topic models," Papers 2503.02741, arXiv.org.

  13. Kashif Yousuf & Serena Ng, 2019. "Boosting High Dimensional Predictive Regressions with Time Varying Parameters," Papers 1910.03109, arXiv.org.

    Cited by:

    1. Deshui Yu & Yayi Yan, 2023. "Joint dynamics of stock returns and cash flows: A time‐varying present‐value framework," Financial Management, Financial Management Association International, vol. 52(3), pages 513-541, September.
    2. Philippe Goulet Coulombe & Maxime Leroux & Dalibor Stevanovic & Stéphane Surprenant, 2019. "How is Machine Learning Useful for Macroeconomic Forecasting?," CIRANO Working Papers 2019s-22, CIRANO.
    3. Chen, Qitong & Hong, Yongmiao & Li, Haiqi, 2024. "Time-varying forecast combination for factor-augmented regressions with smooth structural changes," Journal of Econometrics, Elsevier, vol. 240(1).
    4. Korobilis, Dimitris & Koop, Gary, 2020. "Bayesian dynamic variable selection in high dimensions," MPRA Paper 100164, University Library of Munich, Germany.
    5. Mei, Ziwei & Shi, Zhentao, 2024. "On LASSO for high dimensional predictive regression," Journal of Econometrics, Elsevier, vol. 242(2).
    6. Alisa Ableeva & Guzel Salimova & Ramzilia Bakirova & Tatiana Lubova & Aigul Galimova, 2024. "Analysis and forecasting tax income to the regional budget," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 26(12), pages 30929-30950, December.
    7. Sun, Yuying & Hong, Yongmiao & Wang, Shouyang & Zhang, Xinyu, 2023. "Penalized time-varying model averaging," Journal of Econometrics, Elsevier, vol. 235(2), pages 1355-1377.
    8. Pfarrhofer, Michael, 2022. "Modeling tail risks of inflation using unobserved component quantile regressions," Journal of Economic Dynamics and Control, Elsevier, vol. 143(C).
    9. Ziwei Mei & Peter C. B. Phillips & Zhentao Shi, 2024. "The boosted Hodrick‐Prescott filter is more general than you might think," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 39(7), pages 1260-1281, November.
    10. Yu, Deshui & Chen, Li, 2024. "Local predictability of stock returns and cash flows," Journal of Empirical Finance, Elsevier, vol. 77(C).
    11. Ziwei Mei & Zhentao Shi, 2022. "On LASSO for High Dimensional Predictive Regression," Papers 2212.07052, arXiv.org, revised Jan 2024.
    12. Christis Katsouris, 2023. "High Dimensional Time Series Regression Models: Applications to Statistical Learning Methods," Papers 2308.16192, arXiv.org.
    13. Mu Yue & Jingxin Xi, 2025. "Sparse Boosting for Additive Spatial Autoregressive Model with High Dimensionality," Mathematics, MDPI, vol. 13(5), pages 1-16, February.
    14. Friedrich, Marina & Lin, Yicong, 2024. "Sieve bootstrap inference for linear time-varying coefficient models," Journal of Econometrics, Elsevier, vol. 239(1).
    15. Yu, Deshui & Chen, Li & Li, Luyang, 2023. "Time-varying predictability of the long horizon equity premium based on semiparametric regressions," Economics Letters, Elsevier, vol. 224(C).
    16. Yuying Sun & Shaoxin Hong & Zongwu Cai, 2025. "State-Varying Model Averaging Prediction," WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS 202507, University of Kansas, Department of Economics.

  14. Rishab Guha & Serena Ng, 2019. "A Machine Learning Analysis of Seasonal and Cyclical Sales in Weekly Scanner Data," NBER Working Papers 25899, National Bureau of Economic Research, Inc.

    Cited by:

    1. Nicolaj N. Mühlbach, 2020. "Tree-based Synthetic Control Methods: Consequences of moving the US Embassy," CREATES Research Papers 2020-04, Department of Economics and Business Economics, Aarhus University.
    2. Venera Timiryanova & Irina Lakman & Vadim Prudnikov & Dina Krasnoselskaya, 2022. "Spatial Dependence of Average Prices for Product Categories and Its Change over Time: Evidence from Daily Data," Forecasting, MDPI, vol. 5(1), pages 1-25, December.
    3. Woloszko, Nicolas, 2024. "Nowcasting with panels and alternative data: The OECD weekly tracker," International Journal of Forecasting, Elsevier, vol. 40(4), pages 1302-1335.
    4. Christopher Dobronyi & Christian Gouri'eroux, 2020. "Consumer Theory with Non-Parametric Taste Uncertainty and Individual Heterogeneity," Papers 2010.13937, arXiv.org, revised Jan 2021.
    5. Timiryanova, Venera & Krasnoselskaya, Dina, 2022. "Влияние пандемии Сovid-19 на пространственную динамику продовольственных цен [Covid-19 impact on spatial food prices dynamics]," MPRA Paper 114638, University Library of Munich, Germany.

  15. Jushan Bai & Serena Ng, 2019. "Matrix Completion, Counterfactuals, and Factor Analysis of Missing Data," Papers 1910.06677, arXiv.org, revised Aug 2021.

    Cited by:

    1. Zhou, Ruichao & Wu, Jianhong, 2023. "Determining the number of change-points in high-dimensional factor models by cross-validation with matrix completion," Economics Letters, Elsevier, vol. 232(C).
    2. 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.
    3. Brantly Callaway & Sonia Karami, 2020. "Treatment Effects in Interactive Fixed Effects Models with a Small Number of Time Periods," Papers 2006.15780, arXiv.org, revised Feb 2022.
    4. Zongwu Cai & Ying Fang & Ming Lin & Zixuan Wu, 2023. "A Quasi Synthetic Control Method for Nonlinear Models With High-Dimensional Covariates," WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS 202305, University of Kansas, Department of Economics, revised Aug 2023.
    5. Magnac, Thierry, 2023. "Capital humain et recherche d'emploi: un mariage heureux - Human Capital and Search Models: A Happy Match," TSE Working Papers 23-1489, Toulouse School of Economics (TSE).
    6. Belloni, Alexandre & Chen, Mingli & Madrid Padilla, Oscar Hernan & Wang, Zixuan (Kevin), 2019. "High Dimensional Latent Panel Quantile Regression with an Application to Asset Pricing," The Warwick Economics Research Paper Series (TWERPS) 1230, University of Warwick, Department of Economics.
    7. Thierry Magnac, 2024. "Human Capital and Search Models: A Happy Match," Revue économique, Presses de Sciences-Po, vol. 75(1), pages 11-29.
    8. Luya Wang & Zheng Li & Qi Li, 2023. "A Tale of Two Policies: Examining Treatment Effects on Housing Prices in Shenzhen, China," Annals of Economics and Finance, Society for AEF, vol. 24(2), pages 277-288, November.
    9. Cheng Hsiao & Qiankun Zhou, 2024. "Panel treatment effects measurement: Factor or linear projection modelling?," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 39(7), pages 1332-1358, November.
    10. Ercument Cahan & Jushan Bai & Serena Ng, 2021. "Factor-Based Imputation of Missing Values and Covariances in Panel Data of Large Dimensions," Papers 2103.03045, arXiv.org, revised Feb 2022.
    11. Albert Chiu & Xingchen Lan & Ziyi Liu & Yiqing Xu, 2023. "Causal Panel Analysis under Parallel Trends: Lessons from A Large Reanalysis Study," Papers 2309.15983, arXiv.org, revised Mar 2025.
    12. Jean-Baptiste Hasse & Capucine Nobletz, 2024. "Critical Raw Materials Index - CRMI," AMSE Working Papers 2428, Aix-Marseille School of Economics, France.
    13. Michael W. McCracken & Serena Ng, 2021. "FRED-QD: A Quarterly Database for Macroeconomic Research," Review, Federal Reserve Bank of St. Louis, vol. 103(1), pages 1-44, January.
    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. Joshua C. C. Chan & Aubrey Poon & Dan Zhu, 2023. "High-Dimensional Conditionally Gaussian State Space Models with Missing Data," Papers 2302.03172, arXiv.org.
    16. Ben Deaner & Chen-Wei Hsiang & Andrei Zeleneev, 2025. "Inferring Treatment Effects in Large Panels by Uncovering Latent Similarities," Papers 2503.20769, arXiv.org, revised Mar 2025.
    17. FATUM, Rasmus & YAMAMOTO, Yohei & CHEN, Binwei, 2023. "The Trend Effect of Foreign Exchange Intervention," Discussion paper series HIAS-E-132, Hitotsubashi Institute for Advanced Study, Hitotsubashi University.
    18. Orlando Joaqui-Barandica & Diego F. Manotas-Duque & Jorge M. Uribe-Gil, 2021. ""Commonality, macroeconomic factors and banking profitability"," IREA Working Papers 202113, University of Barcelona, Research Institute of Applied Economics, revised Jun 2021.
    19. Anish Agarwal & Keegan Harris & Justin Whitehouse & Zhiwei Steven Wu, 2023. "Adaptive Principal Component Regression with Applications to Panel Data," Papers 2307.01357, arXiv.org, revised Aug 2024.
    20. Christian Bayer & Luis Calderon & Moritz Kuhn, 2025. "Distributional Dynamics," CRC TR 224 Discussion Paper Series crctr224_2025_625, University of Bonn and University of Mannheim, Germany.
    21. Kathleen T. Li, 2024. "Frontiers: A Simple Forward Difference-in-Differences Method," Marketing Science, INFORMS, vol. 43(2), pages 267-279, March.
    22. Choi, Jungjun & Kwon, Hyukjun & Liao, Yuan, 2024. "Inference for low-rank completion without sample splitting with application to treatment effect estimation," Journal of Econometrics, Elsevier, vol. 240(1).
    23. Guido Imbens & Nathan Kallus & Xiaojie Mao, 2021. "Controlling for Unmeasured Confounding in Panel Data Using Minimal Bridge Functions: From Two-Way Fixed Effects to Factor Models," Papers 2108.03849, arXiv.org.
    24. Retsef Levi & Elisabeth Paulson & Georgia Perakis & Emily Zhang, 2024. "Heterogeneous Treatment Effects in Panel Data," Papers 2406.05633, arXiv.org.
    25. Xingyu Li & Yan Shen & Qiankun Zhou, 2022. "Confidence Intervals of Treatment Effects in Panel Data Models with Interactive Fixed Effects," Papers 2202.12078, arXiv.org.
    26. Bai, Jushan & Wang, Peng, 2024. "Causal inference using factor models," MPRA Paper 120585, University Library of Munich, Germany.
    27. Jungjun Choi & Ming Yuan, 2023. "Matrix Completion When Missing Is Not at Random and Its Applications in Causal Panel Data Models," Papers 2308.02364, arXiv.org.
    28. Ruoxuan Xiong & Markus Pelger, 2019. "Large Dimensional Latent Factor Modeling with Missing Observations and Applications to Causal Inference," Papers 1910.08273, arXiv.org, revised Jan 2022.
    29. Juho Koistinen & Bernd Funovits, 2022. "Estimation of Impulse-Response Functions with Dynamic Factor Models: A New Parametrization," Papers 2202.00310, arXiv.org, revised Feb 2022.
    30. Alexandre Bonnet R. Costa & Pedro Cavalcanti G. Ferreira & Wagner Piazza Gaglianone & Osmani Teixeira C. Guillén & João Victor Issler & Artur Brasil Fialho Rodrigues, 2023. "Predicting Recessions in (almost) Real Time in a Big-data Setting," Working Papers Series 587, Central Bank of Brazil, Research Department.
    31. Yinchu Zhu, 2019. "How well can we learn large factor models without assuming strong factors?," Papers 1910.10382, arXiv.org, revised Nov 2019.
    32. Brantly Callaway, 2022. "Difference-in-Differences for Policy Evaluation," Papers 2203.15646, arXiv.org.
    33. Luya Wang & Jeffrey S. Racine & Qiaoyu Wang, 2025. "Bootstrap inference on a factor model based average treatment effects estimator," Econometric Reviews, Taylor & Francis Journals, vol. 44(1), pages 80-89, January.
    34. Jungjun Choi & Hyukjun Kwon & Yuan Liao, 2023. "Inference for Low-rank Completion without Sample Splitting with Application to Treatment Effect Estimation," Papers 2307.16370, arXiv.org.
    35. Yang Zhou & Shigeto Kitano, 2024. "Effects of Capital Flow Management Measures on Wealth Inequality: New Evidence from Counterfactual Estimators," Discussion Paper Series DP2024-30, Research Institute for Economics & Business Administration, Kobe University, revised Dec 2024.
    36. Serena Ng & Susannah Scanlan, 2023. "Constructing High Frequency Economic Indicators by Imputation," Papers 2303.01863, arXiv.org, revised Oct 2023.
    37. Alberto Abadie & Anish Agarwal & Raaz Dwivedi & Abhin Shah, 2024. "Doubly Robust Inference in Causal Latent Factor Models," Papers 2402.11652, arXiv.org, revised Oct 2024.
    38. Luis Costa & Vivek F. Farias & Patricio Foncea & Jingyuan (Donna) Gan & Ayush Garg & Ivo Rosa Montenegro & Kumarjit Pathak & Tianyi Peng & Dusan Popovic, 2023. "Generalized Synthetic Control for TestOps at ABI: Models, Algorithms, and Infrastructure," Interfaces, INFORMS, vol. 53(5), pages 336-349, September.
    39. Cen, Zetai & Lam, Clifford, 2025. "Tensor time series imputation through tensor factor modelling," LSE Research Online Documents on Economics 127231, London School of Economics and Political Science, LSE Library.

  16. Sokbae Lee & Serena Ng, 2019. "An Econometric Perspective on Algorithmic Subsampling," Papers 1907.01954, arXiv.org, revised Apr 2020.

    Cited by:

    1. Martin O’Connell & Howard Smith & Øyvind Thomassen, 2023. "A two sample size estimator for large data sets," Economics Series Working Papers 1001, University of Oxford, Department of Economics.
    2. Martin Browning & Laurens Cherchye & Thomas Demuynck & Bram De Rock & Frederic Vermeulen, 2024. "Spouses with Benefits: on Match Quality and Consumption inside Households," Working Papers ECARES 2024-11, ULB -- Universite Libre de Bruxelles.
    3. Tao Zou & Xian Li & Xuan Liang & Hansheng Wang, 2021. "On the Subbagging Estimation for Massive Data," Papers 2103.00631, arXiv.org.
    4. Elin Colmsjoe, 2025. "A Flying Start intergenerational Transfers , Wealth Accumalation, and Entrepreneurship of Descendants," CEBI working paper series 24-02, University of Copenhagen. Department of Economics. The Center for Economic Behavior and Inequality (CEBI).
    5. Jun Yu & HaiYing Wang, 2022. "Subdata selection algorithm for linear model discrimination," Statistical Papers, Springer, vol. 63(6), pages 1883-1906, December.
    6. Sokbae Lee & Yuan Liao & Myung Hwan Seo & Youngki Shin, 2022. "Fast Inference for Quantile Regression with Tens of Millions of Observations," Papers 2209.14502, arXiv.org, revised Oct 2023.
    7. Sokbae Lee & Serena Ng, 2020. "Least Squares Estimation Using Sketched Data with Heteroskedastic Errors," Papers 2007.07781, arXiv.org, revised Jun 2022.

  17. Sydney C. Ludvigson & Sai Ma & Serena Ng, 2017. "Shock Restricted Structural Vector-Autoregressions," NBER Working Papers 23225, National Bureau of Economic Research, Inc.

    Cited by:

    1. Masud Alam, 2021. "Heterogeneous Responses to the U.S. Narrative Tax Changes: Evidence from the U.S. States," Papers 2107.13678, arXiv.org.
    2. Thore Schlaak & Malte Rieth & Maximilian Podstawski, 2018. "Monetary Policy, External Instruments and Heteroskedasticity," Discussion Papers of DIW Berlin 1749, DIW Berlin, German Institute for Economic Research.
    3. Balcilar, Mehmet & Ozdemir, Zeynel Abidin & Ozdemir, Huseyin & Aygun, Gurcan & Wohar, Mark E., 2022. "The macroeconomic impact of economic uncertainty and financial shocks under low and high financial stress," The North American Journal of Economics and Finance, Elsevier, vol. 63(C).
    4. Lucrezia Reichlin & Giovanni Ricco & Matthieu Tarbé, 2021. "Monetary-Fiscal Crosswinds in the European Monetary Union," SciencePo Working papers Main hal-03474950, HAL.
    5. Boer, Lukas & Pescatori, Andrea & Stuermer, Martin, 2021. "Energy Transition Metals," MPRA Paper 110364, University Library of Munich, Germany.
    6. Rüdiger Bachmann & Peter Zorn, 2013. "What Drives Aggregate Investment? Evidence from German Survey Data," NBER Working Papers 18990, National Bureau of Economic Research, Inc.
    7. Emmanuel Joel Aikins Abakah & Guglielmo Maria Caporale & Luis A. Gil-Alana, 2020. "Economic Policy Uncertainty: Persistence and Cross-Country Linkages," CESifo Working Paper Series 8289, CESifo.
    8. Christiane Baumeister & James D. Hamilton, 2020. "Advances in Using Vector Autoregressions to Estimate Structural Magnitudes," NBER Working Papers 27014, National Bureau of Economic Research, Inc.
    9. Baumeister, Christiane & Hamilton, James, 2020. "Advances in Structural Vector Autoregressions with Imperfect Identifying Information," CEPR Discussion Papers 14603, C.E.P.R. Discussion Papers.
    10. 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.
    11. Braun, Robin & Brüggemann, Ralf, 2022. "Identification of SVAR models by combining sign restrictions with external instruments," Bank of England working papers 961, Bank of England.
    12. G. Angelini & L. Fanelli, 2018. "Identification and estimation issues in Structural Vector Autoregressions with external instruments," Working Papers wp1122, Dipartimento Scienze Economiche, Universita' di Bologna.

  18. Yuriy Gorodnichenko & Serena Ng, 2017. "Level and Volatility Factors in Macroeconomic Data," NBER Working Papers 23672, National Bureau of Economic Research, Inc.

    Cited by:

    1. Ambrogio Cesa-Bianchi & M. Hashem Pesaran & Alessandro Rebucci, 2018. "Uncertainty and Economic Activity: A Multi-Country Perspective," NBER Working Papers 24325, National Bureau of Economic Research, Inc.
    2. Dimitris Korobilis & Maximilian Schröder, 2023. "Monitoring multicountry macroeconomic risk," Working Paper 2023/9, Norges Bank.
    3. Philippe Goulet Coulombe & Maxime Leroux & Dalibor Stevanovic & Stéphane Surprenant, 2019. "How is Machine Learning Useful for Macroeconomic Forecasting?," CIRANO Working Papers 2019s-22, CIRANO.
    4. Philippe Goulet Coulombe & Maxime Leroux & Dalibor Stevanovic & St'ephane Surprenant, 2020. "Macroeconomic Data Transformations Matter," Papers 2008.01714, arXiv.org, revised Mar 2021.
    5. Galbraith, John W. & Zinde-Walsh, Victoria, 2020. "Simple and reliable estimators of coefficients of interest in a model with high-dimensional confounding effects," Journal of Econometrics, Elsevier, vol. 218(2), pages 609-632.
    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. Iseringhausen, Martin & Petrella, Ivan & Theodoridis, Konstantinos, 2021. "Aggregate Skewness and the Business Cycle," Cardiff Economics Working Papers E2021/30, Cardiff University, Cardiff Business School, Economics Section.
    8. Marcellino, Massimiliano & Carriero, Andrea & Corsello, Francesco, 2019. "The Global Component of Inflation Volatility," CEPR Discussion Papers 13470, C.E.P.R. Discussion Papers.
    9. 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.
    10. Osman Dou{g}an & Raffaele Mattera & Philipp Otto & Suleyman Tac{s}p{i}nar, 2024. "A Dynamic Spatiotemporal and Network ARCH Model with Common Factors," Papers 2410.16526, arXiv.org.
    11. Schüler, Yves S., 2020. "The impact of uncertainty and certainty shocks," Discussion Papers 14/2020, Deutsche Bundesbank.
    12. Marius M. Mihai, 2020. "Do credit booms predict US recessions?," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 39(6), pages 887-910, September.
    13. Bai, Jushan & Ng, Serena, 2019. "Rank regularized estimation of approximate factor models," Journal of Econometrics, Elsevier, vol. 212(1), pages 78-96.
    14. Kole, Erik & van Dijk, Dick, 2023. "Moments, shocks and spillovers in Markov-switching VAR models," Journal of Econometrics, Elsevier, vol. 236(2).
    15. Kevin Moran & Dalibor Stevanovic & Adam Abdel Kader Touré, 2020. "Macroeconomic Uncertainty and the COVID-19 Pandemic: Measure and Impacts on the Canadian Economy," CIRANO Working Papers 2020s-47, CIRANO.
    16. Liang Chen & Juan Jose Dolado & Jesus Gonzalo, 2019. "Quantile Factor Models," Papers 1911.02173, arXiv.org, revised Sep 2020.
    17. 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.
    18. Metiu, Norbert & Prieto, Esteban, 2023. "The macroeconomic effects of inflation uncertainty," Discussion Papers 32/2023, Deutsche Bundesbank.
    19. Ductor, Lorenzo & Leiva-León, Danilo, 2022. "Fluctuations in global output volatility," Journal of International Money and Finance, Elsevier, vol. 120(C).
    20. Jushan Bai & Serena Ng, 2017. "Principal Components and Regularized Estimation of Factor Models," Papers 1708.08137, arXiv.org, revised Nov 2017.
    21. Dario Caldara & Chiara Scotti & Molin Zhong, 2021. "Macroeconomic and Financial Risks: A Tale of Mean and Volatility," International Finance Discussion Papers 1326, Board of Governors of the Federal Reserve System (U.S.).

  19. Jushan Bai & Serena Ng, 2017. "Principal Components and Regularized Estimation of Factor Models," Papers 1708.08137, arXiv.org, revised Nov 2017.

    Cited by:

    1. Belloni, Alexandre & Chen, Mingli & Madrid Padilla, Oscar Hernan & Wang, Zixuan (Kevin), 2019. "High Dimensional Latent Panel Quantile Regression with an Application to Asset Pricing," The Warwick Economics Research Paper Series (TWERPS) 1230, University of Warwick, Department of Economics.
    2. Martin Lettau & Markus Pelger, 2018. "Estimating Latent Asset-Pricing Factors," NBER Working Papers 24618, National Bureau of Economic Research, Inc.
    3. Susan Athey & Mohsen Bayati & Nikolay Doudchenko & Guido Imbens & Khashayar Khosravi, 2017. "Matrix Completion Methods for Causal Panel Data Models," Papers 1710.10251, arXiv.org, revised Apr 2022.
    4. Timothy B. Armstrong & Martin Weidner & Andrei Zeleneev, 2024. "Robust estimation and inference in panels with interactive fixed effects," CeMMAP working papers 28/24, Institute for Fiscal Studies.
    5. Wan, Runzhe & Li, Yingying & Lu, Wenbin & Song, Rui, 2024. "Mining the factor zoo: Estimation of latent factor models with sufficient proxies," Journal of Econometrics, Elsevier, vol. 239(2).
    6. Jushan Bai & Sung Hoon Choi & Yuan Liao, 2019. "Feasible Generalized Least Squares for Panel Data with Cross-sectional and Serial Correlations," Papers 1910.09004, arXiv.org, revised Aug 2020.
    7. Yoshimasa Uematsu & Takashi Yamagata, 2019. "Estimation of Weak Factor Models," ISER Discussion Paper 1053, Institute of Social and Economic Research, The University of Osaka.
    8. Jiangtao Duan & Wei Gao & Hao Qu & Hon Keung Tony, 2019. "Subspace Clustering for Panel Data with Interactive Effects," Papers 1909.09928, arXiv.org, revised Feb 2021.
    9. Victor Chernozhukov & Christian Hansen & Yuan Liao & Yinchu Zhu, 2019. "Inference for heterogeneous effects using low-rank estimations," CeMMAP working papers CWP31/19, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    10. Gu, Shihao & Kelly, Bryan & Xiu, Dacheng, 2021. "Autoencoder asset pricing models," Journal of Econometrics, Elsevier, vol. 222(1), pages 429-450.
    11. Philippe Goulet Coulombe, 2020. "Time-Varying Parameters as Ridge Regressions," Papers 2009.00401, arXiv.org, revised Nov 2024.
    12. Jianqing Fan & Kunpeng Li & Yuan Liao, 2020. "Recent Developments on Factor Models and its Applications in Econometric Learning," Papers 2009.10103, arXiv.org.

  20. Serena Ng, 2017. "Opportunities and Challenges: Lessons from Analyzing Terabytes of Scanner Data," NBER Working Papers 23673, National Bureau of Economic Research, Inc.

    Cited by:

    1. Bluhm, Benjamin & Cutura, Jannic, 2020. "Econometrics at scale: Spark up big data in economics," SAFE Working Paper Series 266, Leibniz Institute for Financial Research SAFE.
    2. Miranda-Zanetti, Maximilano & Delbianco, Fernando & Tohmé, Fernando, 2019. "Tampering with inflation data: A Benford law-based analysis of national statistics in Argentina," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 525(C), pages 761-770.
    3. Danielsson, Jon & Macrae, Robert & Uthemann, Andreas, 2022. "Artificial intelligence and systemic risk," LSE Research Online Documents on Economics 111601, London School of Economics and Political Science, LSE Library.
    4. Gonzalo, Jesús & Pitarakis, Jean-Yves, 2021. "Spurious relationships in high-dimensional systems with strong or mild persistence," International Journal of Forecasting, Elsevier, vol. 37(4), pages 1480-1497.
    5. Sokbae Lee & Serena Ng, 2020. "An Econometric Perspective on Algorithmic Subsampling," Annual Review of Economics, Annual Reviews, vol. 12(1), pages 45-80, August.
    6. Matteo Mogliani, 2019. "Bayesian MIDAS penalized regressions: estimation, selection, and prediction," Working papers 713, Banque de France.
    7. Laurent Ferrara & Anna Simoni, 2020. "When are Google data useful to nowcast GDP? An approach via pre-selection and shrinkage," EconomiX Working Papers 2020-11, University of Paris Nanterre, EconomiX.
    8. Plakandaras, Vasilios & Gogas, Periklis & Papadimitriou, Theophilos & Gupta, Rangan, 2019. "A re-evaluation of the term spread as a leading indicator," International Review of Economics & Finance, Elsevier, vol. 64(C), pages 476-492.
    9. Tao Zou & Xian Li & Xuan Liang & Hansheng Wang, 2021. "On the Subbagging Estimation for Massive Data," Papers 2103.00631, arXiv.org.
    10. Jun Yu & HaiYing Wang, 2022. "Subdata selection algorithm for linear model discrimination," Statistical Papers, Springer, vol. 63(6), pages 1883-1906, December.
    11. Christopher Dobronyi & Christian Gouri'eroux, 2020. "Consumer Theory with Non-Parametric Taste Uncertainty and Individual Heterogeneity," Papers 2010.13937, arXiv.org, revised Jan 2021.
    12. Serena Ng & Susannah Scanlan, 2023. "Constructing High Frequency Economic Indicators by Imputation," Papers 2303.01863, arXiv.org, revised Oct 2023.
    13. Rishab Guha & Serena Ng, 2019. "A Machine Learning Analysis of Seasonal and Cyclical Sales in Weekly Scanner Data," NBER Chapters, in: Big Data for Twenty-First-Century Economic Statistics, pages 403-436, National Bureau of Economic Research, Inc.
    14. Harold D. Chiang & Jiatong Li & Yuya Sasaki, 2021. "Algorithmic subsampling under multiway clustering," Papers 2103.00557, arXiv.org, revised Oct 2022.
    15. Dekimpe, Marnik G., 2020. "Retailing and retailing research in the age of big data analytics," International Journal of Research in Marketing, Elsevier, vol. 37(1), pages 3-14.

  21. 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.

    Cited by:

    1. Kafka, Kyriaki I. & Kostis, Pantelis C., 2024. "Unravelling the innovation puzzle: The interplay between uncertainty, economic institutions, and innovation performance in advanced and developing economies," Technological Forecasting and Social Change, Elsevier, vol. 198(C).
    2. Raffaella Giacomini & Toru Kitagawa & Matthew Read, 2023. "Identification and Inference under Narrative Restrictions," RBA Research Discussion Papers rdp2023-07, Reserve Bank of Australia.
    3. Theodoros Bratis & Georgios P. Kouretas & Nikiforos T. Laopodis & Prodromos Vlamis, 2024. "Sovereign credit and geopolitical risks during and after the EMU crisis," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 29(3), pages 3692-3712, July.
    4. Ambrogio Cesa-Bianchi & M. Hashem Pesaran & Alessandro Rebucci, 2018. "Uncertainty and Economic Activity: A Multi-Country Perspective," NBER Working Papers 24325, National Bureau of Economic Research, Inc.
    5. Afees A. Salisu & Ahamuefula E. Ogbonna & Rangan Gupta & Qiang Ji, 2024. "Energy Market Uncertainties and Exchange Rate Volatility: A GARCH-MIDAS Approach," Working Papers 202418, University of Pretoria, Department of Economics.
    6. Hristov, Nikolay & Roth, Markus, 2019. "Uncertainty shocks and financial crisis indicators," Discussion Papers 36/2019, Deutsche Bundesbank.
    7. Christou, Christina & Gupta, Rangan, 2020. "Forecasting equity premium in a panel of OECD countries: The role of economic policy uncertainty," The Quarterly Review of Economics and Finance, Elsevier, vol. 76(C), pages 243-248.
    8. Gian Paulo Soave, 2023. "A panel threshold VAR with stochastic volatility-in-mean model: an application to the effects of financial and uncertainty shocks in emerging economies," Applied Economics, Taylor & Francis Journals, vol. 55(4), pages 397-431, January.
    9. Muhammad Mar’I & Mehdi Seraj & Turgut Tursoy, 2024. "The Impact of Financial Stress and Uncertainty on Green and Conventional Bonds and Stocks: A Nonlinear and Nonparametric Quantile Analysis," Risks, MDPI, vol. 12(8), pages 1-18, July.
    10. Davis, Richard & Ng, Serena, 2023. "Time series estimation of the dynamic effects of disaster-type shocks," Journal of Econometrics, Elsevier, vol. 235(1), pages 180-201.
    11. Francisco Serranito & Nicolas Himounet & Julien Vauday, 2023. "Uncertainty is bad for Business. Really?," EconomiX Working Papers 2023-26, University of Paris Nanterre, EconomiX.
    12. Jamie Cross & Lennart Hoogerheide & Paul Labonne & Herman K. van Dijk, 2023. "Bayesian Mode Inference for Discrete Distributions in Economics and Finance," Tinbergen Institute Discussion Papers 23-038/III, Tinbergen Institute.
    13. Lastauskas, Povilas & Nguyen, Anh Dinh Minh, 2021. "Global impacts of US monetary policy uncertainty shocks," Working Paper Series 2513, European Central Bank.
    14. Juvenal, Luciana & Petrella, Ivan, 2023. "Unveiling the Dance of Commodity Prices and the Global Financial Cycle," CEPR Discussion Papers 18437, C.E.P.R. Discussion Papers.
    15. Moench, Emanuel & Soofi-Siavash, Soroosh, 2022. "What moves treasury yields?," Journal of Financial Economics, Elsevier, vol. 146(3), pages 1016-1043.
    16. Marco DiMaggio & Amir Kermani & Rodney Ramcharan & Edison Yu, 2017. "Household Credit and Local Economic Uncertainty," Working Papers 17-21, Federal Reserve Bank of Philadelphia.
    17. Luca Gambetti & Dimitris Korobilis & John D. Tsoukalas & Francesco Zanetti, 2023. "Agreed and Disagreed Uncertainty," Working Papers 2023_04, Business School - Economics, University of Glasgow.
    18. Granziera, Eleonora & Sekhposyan, Tatevik, 2019. "Predicting relative forecasting performance: An empirical investigation," International Journal of Forecasting, Elsevier, vol. 35(4), pages 1636-1657.
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    1. Bao, Yong & Yu, Xuewen, 2023. "Indirect inference estimation of dynamic panel data models," Journal of Econometrics, Elsevier, vol. 235(2), pages 1027-1053.
    2. Pouliot, Guillaume Allaire, 2023. "Spatial econometrics for misaligned data," Journal of Econometrics, Elsevier, vol. 232(1), pages 168-190.
    3. Casini, Alessandro & Perron, Pierre, 2022. "Generalized Laplace Inference In Multiple Change-Points Models," Econometric Theory, Cambridge University Press, vol. 38(1), pages 35-65, February.
    4. Michael Creel, 2021. "Inference Using Simulated Neural Moments," Econometrics, MDPI, vol. 9(4), pages 1-15, September.
    5. Pongou, Roland & Tchuente, Guy & Tondji, Jean-Baptiste, 2021. "Optimally Targeting Interventions in Networks during a Pandemic: Theory and Evidence from the Networks of Nursing Homes in the United States," GLO Discussion Paper Series 957, Global Labor Organization (GLO).
    6. Alessandro Casini & Pierre Perron, 2020. "Continuous Record Laplace-based Inference about the Break Date in Structural Change Models," Boston University - Department of Economics - Working Papers Series WP2020-014, Boston University - Department of Economics.
    7. Lynda Khalaf & Beatriz Peraza López, 2020. "Simultaneous Indirect Inference, Impulse Responses and ARMA Models," Econometrics, MDPI, vol. 8(2), pages 1-26, April.
    8. Baey, Charlotte & Smith, Henrik G. & Rundlöf, Maj & Olsson, Ola & Clough, Yann & Sahlin, Ullrika, 2023. "Calibration of a bumble bee foraging model using Approximate Bayesian Computation," Ecological Modelling, Elsevier, vol. 477(C).
    9. Roland Pongou & Guy Tchuente & Jean-Baptiste Tondji, 2023. "Optimal interventions in networks during a pandemic," Journal of Population Economics, Springer;European Society for Population Economics, vol. 36(2), pages 847-883, April.
    10. Georgios Tsiotas, 2022. "Regression Analysis Using Asymmetric Losses: A Bayesian Approach," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 20(2), pages 311-327, June.
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    12. KANO, Takashi, 2023. "Posterior Inferences on Incomplete Structural Models : The Minimal Econometric Interpretation," Discussion paper series HIAS-E-128, Hitotsubashi Institute for Advanced Study, Hitotsubashi University.
    13. Pongou, Roland & Sidie, Ghislain Junior & Tchuente, Guy & Tondji, Jean-Baptiste, 2022. "Profits, Pandemics, and Lockdown Effectiveness in Nursing Home Networks," National Institute of Economic and Social Research (NIESR) Discussion Papers 540, National Institute of Economic and Social Research.
    14. Jean-Jacques Forneron, 2019. "A Scrambled Method of Moments," Papers 1911.09128, arXiv.org.
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  23. Michael W. McCracken & Serena Ng, 2015. "FRED-MD: A Monthly Database for Macroeconomic Research," Working Papers 2015-12, Federal Reserve Bank of St. Louis.

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    1. Jozef Barunik & Mattia Bevilacqua & Michael Ellington, 2023. "Common Firm-level Investor Fears: Evidence from Equity Options," Papers 2309.03968, arXiv.org.
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    4. Zeng, Qing & Lu, Xinjie & Xu, Jin & Lin, Yu, 2024. "Macro-Driven Stock Market Volatility Prediction: Insights from a New Hybrid Machine Learning Approach," International Review of Financial Analysis, Elsevier, vol. 96(PB).
    5. Rangan Gupta & Chi Keung Marco Lau & Vasilios Plakandaras & Wing-Keung Wong, 2019. "The role of housing sentiment in forecasting U.S. home sales growth: evidence from a Bayesian compressed vector autoregressive model," Economic Research-Ekonomska Istraživanja, Taylor & Francis Journals, vol. 32(1), pages 2554-2567, January.
    6. Hirano, Keisuke & Wright, Jonathan H., 2022. "Analyzing cross-validation for forecasting with structural instability," Journal of Econometrics, Elsevier, vol. 226(1), pages 139-154.
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    18. Joaqui-Barandica, Orlando & Oviedo-Gómez, Andres & Manotas-Duque, Diego F., 2023. "Directional predictability between interest rates and the Stoxx 600 Banks index: A quantile approach," Finance Research Letters, Elsevier, vol. 58(PA).
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    26. Ballarin, Giovanni & Dellaportas, Petros & Grigoryeva, Lyudmila & Hirt, Marcel & van Huellen, Sophie & Ortega, Juan-Pablo, 2024. "Reservoir computing for macroeconomic forecasting with mixed-frequency data," International Journal of Forecasting, Elsevier, vol. 40(3), pages 1206-1237.
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    29. Carriero, Andrea & Clark, Todd E. & Marcellino, Massimiliano & Mertens, Elmar, 2022. "Addressing COVID-19 outliers in BVARs with stochastic volatility," Discussion Papers 13/2022, Deutsche Bundesbank.
    30. Christian R. Proaño & Artur Tarassow, 2017. "Evaluating the predicting power of ordered probit models for multiple business cycle phases in the U.S. and Japan," IMK Working Paper 188-2017, IMK at the Hans Boeckler Foundation, Macroeconomic Policy Institute.
    31. Gonçalves, Sílvia & McCracken, Michael W. & Perron, Benoit, 2017. "Tests of equal accuracy for nested models with estimated factors," Journal of Econometrics, Elsevier, vol. 198(2), pages 231-252.
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    34. Mikkel Bennedsen & Eric Hillebrand & Siem Jan Koopman, 2019. "Modeling, Forecasting, and Nowcasting U.S. CO2 Emissions Using Many Macroeconomic Predictors," CREATES Research Papers 2019-21, Department of Economics and Business Economics, Aarhus University.
    35. Andrea Giovanni Gazzani & Alejandro Vicondoa, 2019. "Proxy-SVAR as a Bridge for Identification with Higher Frequency Data," 2019 Meeting Papers 855, Society for Economic Dynamics.
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    37. Goodhead, Robert & Kolb, Benedikt, 2018. "Monetary policy communication shocks and the macroeconomy," Discussion Papers 46/2018, Deutsche Bundesbank.
    38. Joshua C. C. Chan & Gary Koop & Xuewen Yu, 2024. "Large Order-Invariant Bayesian VARs with Stochastic Volatility," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 42(2), pages 825-837, April.
    39. Matteo Mogliani & Anna Simoni, 2024. "Bayesian Bi-level Sparse Group Regressions for Macroeconomic Density Forecasting," Papers 2404.02671, arXiv.org, revised Nov 2024.
    40. Alain Hecq & Luca Margaritella & Stephan Smeekes, 2023. "Granger Causality Testing in High-Dimensional VARs: A Post-Double-Selection Procedure," Journal of Financial Econometrics, Oxford University Press, vol. 21(3), pages 915-958.
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    45. Apergis, Nicholas, 2024. "COVID-19 and US females’ portfolio decisions," International Review of Economics & Finance, Elsevier, vol. 95(C).
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    47. Ian Dew-Becker & Stefano Giglio & Bryan T. Kelly, 2019. "Hedging Macroeconomic and Financial Uncertainty and Volatility," NBER Working Papers 26323, National Bureau of Economic Research, Inc.
    48. Simon Freyaldenhoven, 2020. "Identification Through Sparsity in Factor Models," Working Papers 20-25, Federal Reserve Bank of Philadelphia.
    49. Mengheng Li & Ivan Mendieta-Munoz, 2019. "The multivariate simultaneous unobserved components model and identification via heteroskedasticity," Working Paper Series 2019/08, Economics Discipline Group, UTS Business School, University of Technology, Sydney.
    50. Ethan Struby & Michael F. Connolly, 2022. "Shadow Rate Models and Monetary Policy," Working Papers 2022-03, Carleton College, Department of Economics.
    51. Babii, Andrii & Ball, Ryan T. & Ghysels, Eric & Striaukas, Jonas, 2023. "Machine learning panel data regressions with heavy-tailed dependent data: Theory and application," Journal of Econometrics, Elsevier, vol. 237(2).
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    1. 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.
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    1161. Gillmann, Niels & Kim, Alisa, 2021. "Quantification of Economic Uncertainty: a deep learning approach," VfS Annual Conference 2021 (Virtual Conference): Climate Economics 242421, Verein für Socialpolitik / German Economic Association.
    1162. Oscar Claveria, 2020. "Measuring and assessing economic uncertainty," IREA Working Papers 202011, University of Barcelona, Research Institute of Applied Economics, revised Jul 2020.
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    1166. Sirin, Selahattin Murat & Uz, Dilek & Sevindik, Irem, 2022. "How do macroeconomic dynamics affect small and medium-sized enterprises (SMEs) in the power sector in developing economies: Evidence from Turkey," Energy Policy, Elsevier, vol. 168(C).
    1167. Firrell, Alastair & Reinold, Kate, 2020. "Uncertainty and voting on the Bank of England’s Monetary Policy Committee," Bank of England working papers 898, Bank of England.
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    1169. Tang, Wenjin & Ding, Saijie & Chen, Hao, 2021. "Economic uncertainty and its spillover networks: Evidence from the Asia-Pacific countries," Pacific-Basin Finance Journal, Elsevier, vol. 67(C).
    1170. Grimme, Christian & Henzel, Steffen, 2023. "Uncertainty Shocks in Times of Low and High Uncertainty," VfS Annual Conference 2023 (Regensburg): Growth and the "sociale Frage" 277629, Verein für Socialpolitik / German Economic Association.
    1171. Yoichi Tsuchiya, 2021. "The value added of the Bank of Japan's range forecasts," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 40(5), pages 817-833, August.
    1172. Ifrim, Adrian, 2023. "Sentimental Discount Rate Shocks," EconStor Preprints 268363, ZBW - Leibniz Information Centre for Economics.
    1173. Jawad M. Addoum & Alok Kumar, 2016. "Political Sentiment and Predictable Returns," The Review of Financial Studies, Society for Financial Studies, vol. 29(12), pages 3471-3518.
    1174. Bobeica, Elena & Hartwig, Benny, 2021. "The COVID-19 shock and challenges for time series models," Working Paper Series 2558, European Central Bank.
    1175. Ma, Dan & Zhu, Yanjin, 2024. "The impact of economic uncertainty on carbon emission: Evidence from China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 191(C).
    1176. López Noria Gabriela & Bush Georgia, 2019. "Uncertainty and Exchange Rate Volatility: the Case of Mexico," Working Papers 2019-12, Banco de México.
    1177. Wang, Yudong & Wei, Yu & Wu, Chongfeng & Yin, Libo, 2018. "Oil and the short-term predictability of stock return volatility," Journal of Empirical Finance, Elsevier, vol. 47(C), pages 90-104.
    1178. Shang, Fei, 2022. "The effect of uncertainty on the sensitivity of the yield curve to monetary policy surprises," Journal of Economic Dynamics and Control, Elsevier, vol. 137(C).
    1179. Andrea Carriero & Francesco Corsello & Massimiliano Marcellino, 2020. "The economic drivers of volatility and uncertainty," Temi di discussione (Economic working papers) 1285, Bank of Italy, Economic Research and International Relations Area.
    1180. Yin, Libo, 2020. "Can the intermediary capital risk predict foreign exchange rates?," Finance Research Letters, Elsevier, vol. 37(C).
    1181. Ralf Fendel & Nicola Mai & Oliver Mohr, 2020. "The Shape of Eurozone’s Uncertainty: Its Impact and Predictive Value on GDP," Applied Economics and Finance, Redfame publishing, vol. 7(6), pages 1-18, December.
    1182. Sekandary, Ghezal & Bask, Mikael, 2023. "Monetary policy uncertainty, monetary policy surprises and stock returns," Journal of Economics and Business, Elsevier, vol. 124(C).
    1183. Sydney C. Ludvigson & Sai Ma & Serena Ng, 2020. "COVID-19 and The Macroeconomic Effects of Costly Disasters," NBER Working Papers 26987, National Bureau of Economic Research, Inc.
    1184. Pierpaolo Angelini & Fabrizio Maturo, 2022. "The consumer’s demand functions defined to study contingent consumption plans," Quality & Quantity: International Journal of Methodology, Springer, vol. 56(3), pages 1159-1175, June.
    1185. Tengfei Zhang, 2020. "Manager Uncertainty and Cross-Sectional Stock Returns," 2020 Papers pzh934, Job Market Papers.
    1186. Nonejad, Nima, 2021. "Predicting the return on the spot price of crude oil out-of-sample by conditioning on news-based uncertainty measures: Some new empirical results," Energy Economics, Elsevier, vol. 104(C).
    1187. Chris Redl, 2018. "Macroeconomic Uncertainty in South Africa," South African Journal of Economics, Economic Society of South Africa, vol. 86(3), pages 361-380, September.
    1188. Juelsrud, Ragnar E. & Wold, Ella Getz, 2019. "The Saving and Employment Effects of Higher Job Loss Risk," Working Paper 2019/17, Norges Bank.
    1189. Yingting Yi & Jiangshui Luo & Michael Wübbenhorst, 2020. "Research on political instability, uncertainty and risk during 1953–2019: a scientometric review," Scientometrics, Springer;Akadémiai Kiadó, vol. 123(2), pages 1051-1076, May.
    1190. Wang, Bo & Li, Haoran, 2021. "Downside risk, financial conditions and systemic risk in China," Pacific-Basin Finance Journal, Elsevier, vol. 68(C).
    1191. Li Liu & Yudong Wang, 2021. "Forecasting aggregate market volatility: The role of good and bad uncertainties," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 40(1), pages 40-61, January.
    1192. Tsuchiya, Yoichi, 2022. "Evaluating the European Central Bank’s uncertainty forecasts," Economic Analysis and Policy, Elsevier, vol. 73(C), pages 321-330.
    1193. Lorenzo Boldrini & Eric Hillebrand, 2015. "Supervision in Factor Models Using a Large Number of Predictors," CREATES Research Papers 2015-38, Department of Economics and Business Economics, Aarhus University.
    1194. Joshua Bernstein & Michael D. Plante & Alexander W. Richter & Nathaniel A. Throckmorton, 2021. "Countercyclical Fluctuations in Uncertainty are Endogenous," Working Papers 2109, Federal Reserve Bank of Dallas.
    1195. Chen, Peng & Miao, Xinru & Tee, Kai-Hong, 2023. "Do gold prices respond more to uncertainty shocks at the zero lower bound?," Resources Policy, Elsevier, vol. 86(PA).
    1196. Anthony M. Diercks & Alex Hsu & Andrea Tamoni, 2020. "When it Rains it Pours: Cascading Uncertainty Shocks," Finance and Economics Discussion Series 2020-064, Board of Governors of the Federal Reserve System (U.S.).
    1197. Inwook Hwang & Jaebeom Kim, 2024. "Oil price shocks and macroeconomic dynamics: How important is the role of nonlinearity?," Empirical Economics, Springer, vol. 66(3), pages 1103-1123, March.
    1198. Chin Chia Liang & Carol Troy & Ellen Rouyer, 2020. "The Stock Price Impact of Domestic and Foreign Economic Policy Uncertainty: Evidence from China," Economics Bulletin, AccessEcon, vol. 40(2), pages 1747-1755.
    1199. Falck, Elisabeth & Röhe, Oke & Strobel, Johannes, 2024. "Digital transformation and its impact on labour productivity: A multi-sector perspective," Discussion Papers 28/2024, Deutsche Bundesbank.
    1200. Huabin Bian & Renhai Hua & Qingfu Liu & Ping Zhang, 2022. "Petroleum market volatility tracker in China," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 42(11), pages 2022-2040, November.
    1201. Chiţu, Livia & Grothe, Magdalena & Schulze, Tatjana & Van Robays, Ine, 2023. "Financial shock transmission to heterogeneous firms: the earnings-based borrowing constraint channel," Working Paper Series 2860, European Central Bank.
    1202. Jianghao Chu & Tae-Hwy Lee & Aman Ullah, 2023. "Asymmetric AdaBoost for High-dimensional Maximum Score Regression," Working Papers 202306, University of California at Riverside, Department of Economics.
    1203. Marcellino, Massimiliano & Foroni, Claudia & Casarin, Roberto & Ravazzolo, Francesco, 2017. "Uncertainty Through the Lenses of A Mixed-Frequency Bayesian Panel Markov Switching Model," CEPR Discussion Papers 12339, C.E.P.R. Discussion Papers.
    1204. Tatjana Dahlhaus & Tatevik Sekhposyan, 2018. "Monetary Policy Uncertainty: A Tale of Two Tails," Staff Working Papers 18-50, Bank of Canada.
    1205. Guo, Junjie & Li, Youshu & Shao, Qinglong, 2022. "Cross-category spillover effects of economic policy uncertainty between China and the US: Time and frequency evidence," Journal of Asian Economics, Elsevier, vol. 80(C).
    1206. Strobel, Johannes, 2015. "On the different approaches of measuring uncertainty shocks," Economics Letters, Elsevier, vol. 134(C), pages 69-72.
    1207. Lago-Balsalobre, Rubén & Rojo-Suárez, Javier & Alonso-Conde, Ana B., 2023. "Cross-sectional implications of dynamic asset pricing with stochastic volatility and ambiguity aversion," The North American Journal of Economics and Finance, Elsevier, vol. 66(C).
    1208. Tran, Dung Viet & Houston, Reza, 2021. "The effects of policy uncertainty on bank loan loss provisions," Economic Modelling, Elsevier, vol. 102(C).
    1209. Chen, Zilin & Da, Zhi & Huang, Dashan & Wang, Liyao, 2023. "Presidential economic approval rating and the cross-section of stock returns," Journal of Financial Economics, Elsevier, vol. 147(1), pages 106-131.
    1210. Gregor Bäurle & Daniel Kaufmann, 2018. "Measuring Exchange Rate, Price, and Output Dynamics at the Effective Lower Bound," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 80(6), pages 1243-1266, December.
    1211. Sadok El Ghoul & Omrane Guedhami & Robert Nash & He (Helen) Wang, 2022. "Economic policy uncertainty and insider trading," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 45(4), pages 817-854, December.
    1212. Reboredo, Juan C. & Ugolini, Andrea, 2024. "The impact of uncertainty shocks on energy transition metal prices," Resources Policy, Elsevier, vol. 95(C).
    1213. Taylor, Mark & Filippou, Ilias & Gozluklu, Arie & Nguyen, My, 2020. "U.S. Populist Rhetoric and Currency Returns," CEPR Discussion Papers 15054, C.E.P.R. Discussion Papers.
    1214. Lee, Velma & Viale, Ariel M., 2023. "Total factor productivity in East Asia under ambiguity," Economic Modelling, Elsevier, vol. 121(C).
    1215. Marija Hruska & Mirjana Cizmesija, 2024. "Traditional or social media: which capture employment better?," Public Sector Economics, Institute of Public Finance, vol. 48(4), pages 399-419.
    1216. Nonejad, Nima, 2020. "Crude oil price volatility and equity return predictability: A comparative out-of-sample study," International Review of Financial Analysis, Elsevier, vol. 71(C).
    1217. Cheolbeom Park & Seungyoo Shin, 2021. "Monetary Policy and Exchange Rate Response: Evidence from Shock-based SVAR with Uncertainty Measures," Discussion Paper Series 2102, Institute of Economic Research, Korea University.
    1218. Nicholas Apergis & Tasawar Hayat & Tareq Saeed, 2021. "Cyclicality of commodity markets with respect to the U.S. economic policy uncertainty based on granger causality in quantiles," Economic Notes, Banca Monte dei Paschi di Siena SpA, vol. 50(1), February.
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    1221. Arce-Alfaro, Gabriel & Blagov, Boris, 2021. "Monetary policy uncertainty and inflation expectations," Ruhr Economic Papers 899, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
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  26. Nikolay Gospodinov & Serena Ng, 2013. "Minimum distance estimation of possibly non-invertible moving average models," FRB Atlanta Working Paper 2013-11, Federal Reserve Bank of Atlanta.

    Cited by:

    1. João Henrique Gonçalves Mazzeu & Esther Ruiz & Helena Veiga, 2018. "Uncertainty And Density Forecasts Of Arma Models: Comparison Of Asymptotic, Bayesian, And Bootstrap Procedures," Journal of Economic Surveys, Wiley Blackwell, vol. 32(2), pages 388-419, April.
    2. 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.
    3. Lynda Khalaf & Beatriz Peraza López, 2020. "Simultaneous Indirect Inference, Impulse Responses and ARMA Models," Econometrics, MDPI, vol. 8(2), pages 1-26, April.
    4. Funovits, Bernd, 2024. "Identifiability and estimation of possibly non-invertible SVARMA Models: The normalised canonical WHF parametrisation," Journal of Econometrics, Elsevier, vol. 241(2).
    5. Alain Hecq & Daniel Velasquez-Gaviria, 2023. "Spectral identification and estimation of mixed causal-noncausal invertible-noninvertible models," Papers 2310.19543, arXiv.org.
    6. Alain Guay, 2020. "Identification of Structural Vector Autoregressions Through Higher Unconditional Moments," Working Papers 20-19, Chair in macroeconomics and forecasting, University of Quebec in Montreal's School of Management.
    7. Jean-Jacques Forneron, 2019. "Detecting Identification Failure in Moment Condition Models," Papers 1907.13093, arXiv.org, revised Oct 2023.
    8. Josef Arlt, 2023. "The problem of annual inflation rate indicator," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 28(3), pages 2772-2788, July.
    9. Jean-Jacques Forneron, 2019. "A Sieve-SMM Estimator for Dynamic Models," Papers 1902.01456, arXiv.org, revised Jan 2023.
    10. Antonio Aguirre & Ignacio N. Lobato, 2024. "Evidence of non-fundamentalness in OECD capital stocks," Empirical Economics, Springer, vol. 67(2), pages 761-772, August.
    11. Guay, Alain, 2021. "Identification of structural vector autoregressions through higher unconditional moments," Journal of Econometrics, Elsevier, vol. 225(1), pages 27-46.
    12. Jean‐Jacques Forneron, 2023. "A Sieve‐SMM Estimator for Dynamic Models," Econometrica, Econometric Society, vol. 91(3), pages 943-977, May.

  27. Serena Ng & Jonathan H. Wright, 2013. "Facts and Challenges from the Great Recession for Forecasting and Macroeconomic Modeling," NBER Working Papers 19469, National Bureau of Economic Research, Inc.

    Cited by:

    1. Wright, Jonathan H., 2019. "Some observations on forecasting and policy," International Journal of Forecasting, Elsevier, vol. 35(3), pages 1186-1192.
    2. Lilit Popoyan & Mauro Napoletano & Andrea Roventini, 2015. "Taming macroeconomic instability: Monetary and macro prudential policy interactions in an agent-based model," Working Papers hal-03459508, HAL.
    3. Francesco Corsello & Valerio Nispi Landi, 2018. "Labor market and financial shocks: a time varying analysis," Temi di discussione (Economic working papers) 1179, Bank of Italy, Economic Research and International Relations Area.
    4. Szafranek Karol & Rubaszek Michał, 2024. "Have European natural gas prices decoupled from crude oil prices? Evidence from TVP-VAR analysis," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 28(3), pages 507-530.
    5. Amélie Charles & Olivier Darné & Laurent Ferrara, 2018. "Does The Great Recession Imply The End Of The Great Moderation? International Evidence," Economic Inquiry, Western Economic Association International, vol. 56(2), pages 745-760, April.
    6. Granziera, Eleonora & Sekhposyan, Tatevik, 2019. "Predicting relative forecasting performance: An empirical investigation," International Journal of Forecasting, Elsevier, vol. 35(4), pages 1636-1657.
    7. Thiago Revil T. Ferreira, 2018. "Stock Market Cross-Sectional Skewness and Business Cycle Fluctuations," International Finance Discussion Papers 1223, Board of Governors of the Federal Reserve System (U.S.).
    8. Hännikäinen, Jari, 2017. "When does the yield curve contain predictive power? Evidence from a data-rich environment," International Journal of Forecasting, Elsevier, vol. 33(4), pages 1044-1064.
    9. Dalibor Stevanovic, 2013. "Probability and Severity of Recessions," CIRANO Working Papers 2013s-43, CIRANO.
    10. Stijn Claessens & M Ayhan Kose, 2018. "Frontiers of macrofinancial linkages," BIS Papers, Bank for International Settlements, number 95.
    11. Jean-Baptiste Hasse & Quentin Lajaunie, 2020. "Does the Yield Curve Signal Recessions? New Evidence from an International Panel Data Analysis," AMSE Working Papers 2013, Aix-Marseille School of Economics, France.
    12. Inoue, Atsushi & Kuo, Chun-Hung & Rossi, Barbara, 2020. "Identifying the sources of model misspecification," Journal of Monetary Economics, Elsevier, vol. 110(C), pages 1-18.
    13. Dalibor Stevanovic & Rachidi Kotchoni, 2016. "Forecasting U.S. Recessions and Economic Activity," CIRANO Working Papers 2016s-36, CIRANO.
    14. Napoletano, Mauro & Roventini, Andrea & Gaffard, Jean Luc, 2017. "Time-varying fiscal multipliers in an agent-based model with credit rationing," Economics Discussion Papers 2017-112, Kiel Institute for the World Economy (IfW Kiel).
    15. Belanger, Gilles, 2014. "Interest Rates Rigidities and the Fisher Equation," MPRA Paper 54705, University Library of Munich, Germany.
    16. Dlugoszek, Grzegorz, 2018. "Macroeconomic Effects of Financial Uncertainty," VfS Annual Conference 2018 (Freiburg, Breisgau): Digital Economy 181596, Verein für Socialpolitik / German Economic Association.
    17. Michael Redmond & Willem Van Zandweghe, 2016. "The Lasting Damage from the Financial Crisis to U.S. Productivity," Economic Review, Federal Reserve Bank of Kansas City, issue Q I, pages 39-64.
    18. Huang, Yu-Fan & Startz, Richard, 2020. "Improved recession dating using stock market volatility," International Journal of Forecasting, Elsevier, vol. 36(2), pages 507-514.
    19. Jens J. Krüger, 2016. "Radar scanning the world production frontier," Journal of Productivity Analysis, Springer, vol. 46(1), pages 1-13, August.
    20. Döpke, Jörg & Fritsche, Ulrich & Müller, Karsten, 2019. "Has macroeconomic forecasting changed after the Great Recession? Panel-based evidence on forecast accuracy and forecaster behavior from Germany," Journal of Macroeconomics, Elsevier, vol. 62(C).
    21. Pierre L. Siklos, 2017. "What has publishing inflation forecasts accomplished? Central banks and their competitors," CAMA Working Papers 2017-33, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    22. Klinger, Sabine & Weber, Enzo, 2019. "GDP-Employment decoupling and the slow-down of productivity growth in Germany," IAB-Discussion Paper 201912, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    23. Francesco Lamperti & Antoine Mandel & Mauro Napoletano & Alessandro Sapio & Andrea Roventini & Tomas Balint & Igor Khorenzhenko, 2017. "Taming macroeconomic instability," Post-Print hal-03399574, HAL.
    24. Augustus J. Panton, 2020. "Climate hysteresis and monetary policy," CAMA Working Papers 2020-76, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    25. Yu-Fan Huang & Sui Luo, 2018. "Potential output and inflation dynamics after the Great Recession," Empirical Economics, Springer, vol. 55(2), pages 495-517, September.
    26. Jean-Sébastien Pentecôte & Fabien Rondeau, 2015. "Trade spillovers on output growth during the 2008 financial crisis," Post-Print hal-02440549, HAL.
    27. Dean Croushore & Katherine Marsten, 2014. "The continuing power of the yield spread in forecasting recessions," Working Papers 14-5, Federal Reserve Bank of Philadelphia.
    28. Alessandro Casini, 2021. "Theory of Evolutionary Spectra for Heteroskedasticity and Autocorrelation Robust Inference in Possibly Misspecified and Nonstationary Models," Papers 2103.02981, arXiv.org, revised Aug 2024.
    29. Casini, Alessandro, 2023. "Theory of evolutionary spectra for heteroskedasticity and autocorrelation robust inference in possibly misspecified and nonstationary models," Journal of Econometrics, Elsevier, vol. 235(2), pages 372-392.
    30. Gerdie Everaert & Martin Iseringhausen, 2017. "Measuring The International Dimension Of Output Volatility," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 17/928, Ghent University, Faculty of Economics and Business Administration.
    31. Kasey Buckles & Daniel Hungerman & Steven Lugauer, 2021. "Is Fertility a Leading Economic Indicator?," The Economic Journal, Royal Economic Society, vol. 131(634), pages 541-565.
    32. Guender, Alfred V, 2018. "Credit prices vs. credit quantities as predictors of economic activity in Europe: Which tell a better story?," Journal of Macroeconomics, Elsevier, vol. 57(C), pages 380-399.
    33. Kim Abildgren, 2016. "A century of macro-financial linkages," Journal of Financial Economic Policy, Emerald Group Publishing Limited, vol. 8(4), pages 458-471, November.
    34. Dosi, Giovanni & Pereira, Marcelo C. & Roventini, Andrea & Virgillito, Maria Enrica, 2017. "Causes and Consequences of Hysteresis: Aggregate Demand, Productivity and Employment," GLO Discussion Paper Series 64, Global Labor Organization (GLO).
    35. Albonico, Alice & Paccagnini, Alessia & Tirelli, Patrizio, 2017. "Great recession, slow recovery and muted fiscal policies in the US," Journal of Economic Dynamics and Control, Elsevier, vol. 81(C), pages 140-161.
    36. Katharina Glass & Ulrich Fritsche, 2015. "Real-time Macroeconomic Data and Uncertainty," Macroeconomics and Finance Series 201406, University of Hamburg, Department of Socioeconomics.
    37. Seitz, Franz & Albuquerque, Bruno & Baumann, Ursel, 2015. "The Information Content Of Money And Credit For US Activity," VfS Annual Conference 2015 (Muenster): Economic Development - Theory and Policy 113066, Verein für Socialpolitik / German Economic Association.
    38. Ferreira, Thiago R.T., 2024. "Cross-sectional financial conditions, business cycles and the lending channel," Journal of Monetary Economics, Elsevier, vol. 147(C).
    39. Enrique López Enciso, 2019. "Dos tradiciones en la medición del ciclo: historia general y desarrollos en Colombia," Tiempo y Economía, Universidad de Bogotá Jorge Tadeo Lozano, vol. 6(1), pages 77-142, February.
    40. Klinger, Sabine & Weber, Enzo, 2020. "GDP-employment decoupling in Germany," Structural Change and Economic Dynamics, Elsevier, vol. 52(C), pages 82-98.
    41. Ana gomez-Loscos & M. Dolores Gadea (Universidad de Zaragoza) & Gabriel Perez-Quiros (Bank of Spain), 2015. "Great Moderation and Great Recession. From plain sailing to stormy seas?," EcoMod2015 8267, EcoMod.
    42. Jari Hännikäinen, 2014. "Zero lower bound, unconventional monetary policy and indicator properties of interest rate spreads," Working Papers 1495, Tampere University, Faculty of Management and Business, Economics.
    43. Pawel Dlotko & Simon Rudkin & Wanling Qiu, 2019. "Topologically Mapping the Macroeconomy," Papers 1911.10476, arXiv.org.
    44. 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.
    45. Piergiorgio Alessandri & Haroon Mumtaz, 2014. "Financial conditions and density forecasts for US output and inflation," CReMFi Discussion Papers 1, CReMFi, School of Economics and Finance, QMUL.
    46. Marie Bessec, 2019. "Revisiting the transitional dynamics of business-cycle phases with mixed-frequency data," Post-Print hal-02181552, HAL.
    47. Ching-Wai (Jeremy) Chiu & Haroon Mumtaz & Gabor Pinter, 2015. "Forecasting with VAR Models: Fat Tails and Stochastic Volatility," CReMFi Discussion Papers 2, CReMFi, School of Economics and Finance, QMUL.
    48. Constantin ANGHELACHE & Madalina-Gabriela ANGHEL & Tudor SAMSON & Radu STOICA, 2017. "Methods And Techniques For Preparing Forecasts," Romanian Statistical Review Supplement, Romanian Statistical Review, vol. 65(4), pages 26-36, April.
    49. Luca Guerrieri & Matteo Iacoviello, 2012. "Collateral Constraints and Macroeconomic Asymmetries," 2012 Meeting Papers 1024, Society for Economic Dynamics.
    50. Viv B. Hall & C. John McDermott, 2016. "Recessions and recoveries in New Zealand's post-Second World War business cycles," New Zealand Economic Papers, Taylor & Francis Journals, vol. 50(3), pages 261-280, September.
    51. Serena Ng, 2014. "Viewpoint: Boosting Recessions," Canadian Journal of Economics, Canadian Economics Association, vol. 47(1), pages 1-34, February.
    52. Tommaso Ferraresi & Andrea Roventini & Willi Semmler, 2016. "Macroeconomic regimes, technological shocks and employment dynamics," Documents de Travail de l'OFCE 2016-19, Observatoire Francais des Conjonctures Economiques (OFCE).
    53. Ana B. Galvão & Michael T. Owyang, 2014. "Financial stress regimes and the macroeconomy," Working Papers 2014-20, Federal Reserve Bank of St. Louis.
    54. Gloria Gonzalez-Rivera & Vladimir Rodriguez-Caballero & Esther Ruiz, 2023. "Expecting the unexpected: Stressed scenarios for economic growth," Working Papers 202314, University of California at Riverside, Department of Economics.
    55. Giorgia Piacentino & Anjan Thakor & Jason Donaldson, 2015. "Bank Capital, Bank Credit and Unemployment," 2015 Meeting Papers 1403, Society for Economic Dynamics.
    56. Marie Bessec, 2015. "Revisiting the transitional dynamics of business-cycle phases with mixed frequency data," Post-Print hal-01276824, HAL.
    57. Kundan Kumar & Rajendra Narayan Paramanik & Anoop S. Kumar, 2023. "Nexus among Indian business cycle–financial cycle and Policy Uncertainty Index," SN Business & Economics, Springer, vol. 3(12), pages 1-19, December.
    58. Mattia Guerini & Alessio Moneta & Mauro Napoletano & Andrea Roventini, 2017. "The Janus-faced nature of debt : results form a data driven cointegrated SVAR approach," Working Papers hal-03457555, HAL.
    59. Ben Charoenwong & Randall Morck & Yupana Wiwattanakantang, 2021. "Bank of Japan Equity Purchases: The (Non-)Effects of Extreme Quantitative Easing [Whatever it takes: the real effects of unconventional monetary policy]," Review of Finance, European Finance Association, vol. 25(3), pages 713-743.
    60. Mauro Napoletano & Andrea Roventini & Jean Luc Gaffard, 2015. "Toward a low carbon growth in Mexico : is a double dividend possible ? A dynamic general equilibrium assessment," Documents de Travail de l'OFCE 2015-25, Observatoire Francais des Conjonctures Economiques (OFCE).
    61. María Dolores Gadea-Rivas & Ana Gómez-Loscos & Gabriel Pérez-Quirós, 2014. "The two greatest. Great recession vs. great moderation," Working Papers 1423, Banco de España.
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    87. Valentina Aprigliano & Simone Emiliozzi & Gabriele Guaitoli & Andrea Luciani & Juri Marcucci & Libero Monteforte, 2021. "The power of text-based indicators in forecasting the Italian economic activity," Temi di discussione (Economic working papers) 1321, Bank of Italy, Economic Research and International Relations Area.
    88. Johnson Worlanyo Ahiadorme, 2022. "On the aggregate effects of global uncertainty: Evidence from an emerging economy," South African Journal of Economics, Economic Society of South Africa, vol. 90(3), pages 390-407, September.
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    93. Nonejad, Nima, 2023. "Conditional out-of-sample predictability of aggregate equity returns and aggregate equity return volatility using economic variables," Journal of Empirical Finance, Elsevier, vol. 70(C), pages 91-122.
    94. Haining Chen & Prince Asare Vitenu-Sackey & Isaac Akpemah Bathuure, 2024. "Uncertainty Measures and Business Cycles: Evidence From the US," SAGE Open, , vol. 14(2), pages 21582440241, April.
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    96. Katharina Glass, 2018. "Predictability of Euro Area Revisions," Macroeconomics and Finance Series 201801, University of Hamburg, Department of Socioeconomics.
    97. Gergely Akos Ganics, 2017. "Optimal density forecast combinations," Working Papers 1751, Banco de España.
    98. Piergiorgio Alessandri & Leonardo Del Vecchio & Arianna Miglietta, 2019. "Financial Conditions and 'Growth at Risk' in Italy," Temi di discussione (Economic working papers) 1242, Bank of Italy, Economic Research and International Relations Area.
    99. Okimoto, Tatsuyoshi & Takaoka, Sumiko, 2022. "The credit spread curve distribution and economic fluctuations in Japan," Journal of International Money and Finance, Elsevier, vol. 122(C).
    100. Cross, Jamie & Poon, Aubrey, 2016. "Forecasting structural change and fat-tailed events in Australian macroeconomic variables," Economic Modelling, Elsevier, vol. 58(C), pages 34-51.
    101. Buckmann, Marcus & Joseph, Andreas, 2022. "An interpretable machine learning workflow with an application to economic forecasting," Bank of England working papers 984, Bank of England.
    102. Ma, Chenchen & Tu, Yundong, 2023. "Shrinkage estimation of multiple threshold factor models," Journal of Econometrics, Elsevier, vol. 235(2), pages 1876-1892.
    103. Michael S. Miller & Jin W. Choi, 2014. "The Effectiveness of the Federal Funds Rate as the U.S. Monetary Policy Tool Before, During and After the Great Recession," European Research Studies Journal, European Research Studies Journal, vol. 0(3), pages 37-58.
    104. Kuosmanen, Petri & Vataja, Juuso, 2019. "Time-varying predictive content of financial variables in forecasting GDP growth in the G-7 countries," The Quarterly Review of Economics and Finance, Elsevier, vol. 71(C), pages 211-222.
    105. Klinger, Sabine & Weber, Enzo, 2015. "GDP-Employment Decoupling and the Productivity Puzzle in Germany," University of Regensburg Working Papers in Business, Economics and Management Information Systems 485, University of Regensburg, Department of Economics.
    106. Schumacher, Christian, 2014. "MIDAS regressions with time-varying parameters: An application to corporate bond spreads and GDP in the Euro area," VfS Annual Conference 2014 (Hamburg): Evidence-based Economic Policy 100289, Verein für Socialpolitik / German Economic Association.
    107. Alexander J. Field, 2017. "The Savings and Loan Insolvencies and the Costs of Financial Crisis," Research in Economic History, in: Research in Economic History, volume 33, pages 65-113, Emerald Group Publishing Limited.
    108. Borio, Claudio & Drehmann, Mathias & Xia, Fan Dora, 2020. "Forecasting recessions: the importance of the financial cycle," Journal of Macroeconomics, Elsevier, vol. 66(C).
    109. Thiago Revil T. Ferreira, 2022. "Cross-Sectional Financial Conditions, Business Cycles and The Lending Channel," International Finance Discussion Papers 1335, Board of Governors of the Federal Reserve System (U.S.).
    110. Rama K. Malladi, 2024. "Application of Supervised Machine Learning Techniques to Forecast the COVID-19 U.S. Recession and Stock Market Crash," Computational Economics, Springer;Society for Computational Economics, vol. 63(3), pages 1021-1045, March.
    111. Michal Franta, 2015. "Rare Shocks vs. Non-linearities: What Drives Extreme Events in the Economy? Some Empirical Evidence," Working Papers 2015/04, Czech National Bank.
    112. Pierre L. Siklos, 2016. "Forecast Disagreement and the Inflation Outlook: New International Evidence," IMES Discussion Paper Series 16-E-03, Institute for Monetary and Economic Studies, Bank of Japan.
    113. Vasilios Plakandaras & Juncal Cunado & Rangan Gupta & Mark E. Wohar, 2016. "Do Leading Indicators Forecast U.S. Recessions? A Nonlinear Re-Evaluation Using Historical Data," Working Papers 201685, University of Pretoria, Department of Economics.
    114. Magnus Reif, 2020. "Macroeconomics, Nonlinearities, and the Business Cycle," ifo Beiträge zur Wirtschaftsforschung, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, number 87, May.
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    116. Kuosmanen, Petri & Rahko, Jaana & Vataja, Juuso, 2019. "Predictive ability of financial variables in changing economic circumstances," The North American Journal of Economics and Finance, Elsevier, vol. 47(C), pages 37-47.
    117. Nonejad, Nima, 2022. "Understanding the conditional out-of-sample predictive impact of the price of crude oil on aggregate equity return volatility," The North American Journal of Economics and Finance, Elsevier, vol. 62(C).
    118. Alisa Yusupova & Nicos G. Pavlidis & Efthymios G. Pavlidis, 2019. "Adaptive Dynamic Model Averaging with an Application to House Price Forecasting," Papers 1912.04661, arXiv.org.
    119. Hwang, Youngjin, 2019. "Forecasting recessions with time-varying models," Journal of Macroeconomics, Elsevier, vol. 62(C).
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    121. Marcelo E. A. Silva & Rafael Vasconcelos & Paulo Vaz, 2022. "Expectations and firm dynamics: Aggregate versus idiosyncratic shocks in emerging economies," Economics Bulletin, AccessEcon, vol. 42(3), pages 1370-1380.
    122. Mattia Guerini & Alessio Moneta & Mauro Napoletano & Andrea Roventini, 2017. "The Janus-faced nature of debt : result from a data-driven cointegrated SVAR approach," Documents de Travail de l'OFCE 2017-02, Observatoire Francais des Conjonctures Economiques (OFCE).
    123. Giulia Piccillo & Poramapa Poonpakdee, 2023. "Ambiguous Business Cycles, Recessions and Uncertainty: A Quantitative Analysis," CESifo Working Paper Series 10646, CESifo.
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    126. Huiwen Lai & Eric C. Y. Ng, 2020. "On business cycle forecasting," Frontiers of Business Research in China, Springer, vol. 14(1), pages 1-26, December.
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  28. Yuriy Gorodnichenko & Anna Mikusheva & Serena Ng, 2011. "Estimators for Persistent and Possibly Non-Stationary Data with Classical Properties," NBER Working Papers 17424, National Bureau of Economic Research, Inc.

    Cited by:

    1. Lynda Khalaf & Beatriz Peraza López, 2020. "Simultaneous Indirect Inference, Impulse Responses and ARMA Models," Econometrics, MDPI, vol. 8(2), pages 1-26, April.
    2. Paulo M.M. Rodrigues & Matei Demetrescu, 2019. "Testing for Episodic Predictability in Stock Returns," Working Papers w201906, Banco de Portugal, Economics and Research Department.
    3. John Chao & Peter C.B. Phillips, 2017. "Uniform Inference in Panel Autoregression," Cowles Foundation Discussion Papers 2071, Cowles Foundation for Research in Economics, Yale University.
    4. Sentana, Enrique, 2024. "Finite underidentification," Journal of Econometrics, Elsevier, vol. 240(1).
    5. Jean-Paul Chavas, 2025. "Stochastic instability: a dynamic quantile approach," Empirical Economics, Springer, vol. 68(2), pages 485-509, February.
    6. Breitung, Jörg & Demetrescu, Matei, 2015. "Instrumental variable and variable addition based inference in predictive regressions," Journal of Econometrics, Elsevier, vol. 187(1), pages 358-375.

  29. Sydney C. Ludvigson & Serena Ng, 2009. "A Factor Analysis of Bond Risk Premia," NBER Working Papers 15188, National Bureau of Economic Research, Inc.

    Cited by:

    1. Gonçalves, Sílvia & McCracken, Michael W. & Perron, Benoit, 2017. "Tests of equal accuracy for nested models with estimated factors," Journal of Econometrics, Elsevier, vol. 198(2), pages 231-252.
    2. Jonas Krampe & Luca Margaritella, 2021. "Factor Models with Sparse VAR Idiosyncratic Components," Papers 2112.07149, arXiv.org, revised May 2022.
    3. Roberta Fiori & Simonetta Iannotti, 2010. "On the interaction between market and credit risk: a factor-augmented vector autoregressive (FAVAR) approach," Temi di discussione (Economic working papers) 779, Bank of Italy, Economic Research and International Relations Area.
    4. Laura Nowzohour & Livio Stracca, 2020. "More Than A Feeling: Confidence, Uncertainty, And Macroeconomic Fluctuations," Journal of Economic Surveys, Wiley Blackwell, vol. 34(4), pages 691-726, September.
    5. Smeekes, Stephan & Wijler, Etiënne, 2016. "Macroeconomic Forecasting Using Penalized Regression Methods," Research Memorandum 039, Maastricht University, Graduate School of Business and Economics (GSBE).
    6. Lasse BORK & Hans DEWACHTER & Romain HOUSSA, 2009. "Identification of macroeconomic factors in large panels," Working Papers of Department of Economics, Leuven ces09.18, KU Leuven, Faculty of Economics and Business (FEB), Department of Economics, Leuven.
    7. Markus Pelger & Ruoxuan Xiong, 2018. "State-Varying Factor Models of Large Dimensions," Papers 1807.02248, arXiv.org, revised Oct 2020.
    8. Hacioglu, Sinem & Tuzcuoglu, Kerem, 2016. "Interpreting the latent dynamic factors by threshold FAVAR model," Bank of England working papers 622, Bank of England.
    9. Stefano Giglio & Dacheng Xiu, 2017. "Inference on Risk Premia in the Presence of Omitted Factors," NBER Working Papers 23527, National Bureau of Economic Research, Inc.
    10. Cui, Qiurong & Xu, Yuqing & Zhang, Zhengjun & Chan, Vincent, 2021. "Max-linear regression models with regularization," Journal of Econometrics, Elsevier, vol. 222(1), pages 579-600.
    11. Helitzer, Deborah & Hollis, Christine & Hernandez, Brisa Urquieta de & Sanders, Margaret & Roybal, Suzanne & Van Deusen, Ian, 2010. "Evaluation for community-based programs: The integration of logic models and factor analysis," Evaluation and Program Planning, Elsevier, vol. 33(3), pages 223-233, August.
    12. Han, Xu, 2015. "Tests for overidentifying restrictions in Factor-Augmented VAR models," Journal of Econometrics, Elsevier, vol. 184(2), pages 394-419.
    13. Jian Yang & Yinggang Zhou & Zijun Wang, 2010. "Conditional Coskewness in Stock and Bond Markets: Time-Series Evidence," Management Science, INFORMS, vol. 56(11), pages 2031-2049, November.
    14. Mehmet Balcilar & Abebe Beyene & Rangan Gupta & Monaheng Seleteng, 2013. "‘Ripple’ Effects in South African House Prices," Urban Studies, Urban Studies Journal Limited, vol. 50(5), pages 876-894, April.
    15. Buckmann, Marcus & Joseph, Andreas, 2022. "An interpretable machine learning workflow with an application to economic forecasting," Bank of England working papers 984, Bank of England.
    16. Piyachart Phiromswad & Takeshi Yagihashi, 2016. "Empirical identification of factor models," Empirical Economics, Springer, vol. 51(2), pages 621-658, September.
    17. Xyngis, Georgios, 2017. "Business-cycle variation in macroeconomic uncertainty and the cross-section of expected returns: Evidence for scale-dependent risks," Journal of Empirical Finance, Elsevier, vol. 44(C), pages 43-65.
    18. Chen, Pu, 2010. "A Grouped Factor Model," MPRA Paper 28083, University Library of Munich, Germany, revised 11 Jan 2011.

  30. Yuriy Gorodnichenko & Serena Ng, 2009. "Estimation of DSGE Models When the Data are Persistent," NBER Working Papers 15187, National Bureau of Economic Research, Inc.

    Cited by:

    1. Stiassny, Alfred & Uhl, Christina, 2014. "Does Elderly Employment have an Impact on Youth Employment? A General Equilibrium Approach," Department of Economics Working Paper Series 178, WU Vienna University of Economics and Business.
    2. Weder, Mark & Doko Tchatokay, Firmin & Groshenny, Nicolas & Haque, Qazi, 2016. "Monetary Policy and Indeterminacy after the 2001 Slump," VfS Annual Conference 2016 (Augsburg): Demographic Change 145557, Verein für Socialpolitik / German Economic Association.
    3. 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.
    4. Canova, Fabio, 2014. "Bridging DSGE models and the raw data," Journal of Monetary Economics, Elsevier, vol. 67(C), pages 1-15.
    5. 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.
    6. 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.
    7. Aldy, Joseph E., 2014. "The Labor Market Impacts of the 2010 Deepwater Horizon Oil Spill and Offshore Oil Drilling Moratorium," Working Paper Series rwp14-037, Harvard University, John F. Kennedy School of Government.
    8. Chahrour, Ryan & Ulbricht, Robert, 2017. "Information-driven Business Cycles: A Primal Approach," TSE Working Papers 17-784, Toulouse School of Economics (TSE), revised Dec 2017.
    9. Efrem Castelnuovo, 2013. "What does a Monetary Policy Shock Do? An International Analysis with Multiple Filters," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 75(5), pages 759-784, October.
    10. Yuriy Gorodnichenko & Johannes Wieland & Olivier Coibion, 2012. "The Optimal Inflation Rate in New Keynesian Models: Should Central Banks Raise Their Inflation Targets in Light of the Zero Lower Bound?," 2012 Meeting Papers 70, Society for Economic Dynamics.
    11. Capek, Jan & Crespo Cuaresma, Jesus & Hauzenberger, Niko & Reichel, Vlastimil, 2020. "Macroeconomic forecasting in the euro area using predictive combinations of DSGE models," Department of Economics Working Paper Series 305, WU Vienna University of Economics and Business.
    12. Chalmovianský, Jakub & Němec, Daniel, 2022. "Assessing uncertainty of output gap estimates: Evidence from Visegrad countries," Economic Modelling, Elsevier, vol. 116(C).
    13. Renato Faccini & Leonardo Melosi, 2019. "Pigouvian Cycles," 2019 Meeting Papers 977, Society for Economic Dynamics.
    14. Alfred Stiassny & Christina Uhl, 2014. "Does Elderly Employment have an Impact on Youth Employment? A General Equilibrium Approach," Department of Economics Working Papers wuwp178, Vienna University of Economics and Business, Department of Economics.
    15. Dieppe, Alistair & González Pandiella, Alberto & Willman, Alpo, 2012. "The ECB's New Multi-Country Model for the euro area: NMCM — Simulated with rational expectations," Economic Modelling, Elsevier, vol. 29(6), pages 2597-2614.
    16. Bahram Adrangi & Juan Nicolás D’Amico, 2023. "Equity Returns and the Output Shocks in a Dynamic Stochastic General Equilibrium Framework," JRFM, MDPI, vol. 16(5), pages 1-14, April.
    17. Ferroni Filippo, 2011. "Trend Agnostic One-Step Estimation of DSGE Models," The B.E. Journal of Macroeconomics, De Gruyter, vol. 11(1), pages 1-36, July.
    18. 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.
    19. 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.
    20. MAO TAKONGMO, Charles Olivier, 2019. "Keynesian Models, Detrending, and the Method of Moments," MPRA Paper 91709, University Library of Munich, Germany.
    21. Albonico, Alice & Paccagnini, Alessia & Tirelli, Patrizio, 2017. "Great recession, slow recovery and muted fiscal policies in the US," Journal of Economic Dynamics and Control, Elsevier, vol. 81(C), pages 140-161.
    22. Fabio Canova & Filippo Ferroni, 2009. "Multiple filtering devices for the estimation of cyclical DSGE models," Economics Working Papers 1135, Department of Economics and Business, Universitat Pompeu Fabra, revised Sep 2010.
    23. Luca Sala, 2015. "Dsge Models in the Frequency Domains," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 30(2), pages 219-240, March.
    24. Jesus Fernandez-Villaverde & Juan Rubio-Ramírez & Frank Schorfheide, 2015. "Solution and Estimation Methods for DSGE Models," PIER Working Paper Archive 15-042, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania, revised 09 Dec 2015.
    25. Barthélemy, J. & Marx, M. & Poissonnier, A., 2009. "Trends and Cycles : an Historical Review of the Euro Area," Working papers 258, Banque de France.
    26. 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.
    27. 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.
    28. Morrisy, Stephen D., 2017. "Efficient estimation of macroeconomic equations with unobservable states," Economic Modelling, Elsevier, vol. 60(C), pages 408-423.
    29. Filippo Ferroni & Stefano Grassi & Miguel A. Leon-Ledesma, 2015. "Fundamental shock selection in DSGE models," Studies in Economics 1508, School of Economics, University of Kent.
    30. Francisco J. Ruge-Murcia, 2013. "Generalized Method of Moments estimation of DSGE models," Chapters, in: Nigar Hashimzade & Michael A. Thornton (ed.), Handbook of Research Methods and Applications in Empirical Macroeconomics, chapter 20, pages 464-485, Edward Elgar Publishing.
    31. 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.
    32. Richard Harrison & George Kapetanios & Alasdair Scott & Jana Eklund, 2008. "Breaks in DSGE models," 2008 Meeting Papers 657, Society for Economic Dynamics.
    33. Cristiano Cantore & Paul Levine & Giovanni Melina, 2014. "Deep versus superficial habit: It’s all in the persistence," School of Economics Discussion Papers 0714, School of Economics, University of Surrey.
    34. Michael Weber, 2014. "Nominal Rigidities and Asset Pricing," 2014 Meeting Papers 53, Society for Economic Dynamics.
    35. Normann Rion, 2020. "Fluctuations in a Dual Labor Market," PSE Working Papers halshs-02570540, HAL.
    36. Nalan Basturk & Cem Cakmakli & Pinar Ceyhan & Herman K. van Dijk, 2013. "Posterior-Predictive Evidence on US Inflation using Phillips Curve Models with Non-Filtered Time Series," Tinbergen Institute Discussion Papers 13-011/III, Tinbergen Institute.
    37. Jay Hyun & Ryan Kim & Byoungchan Lee, 2024. "Business Cycles With Cyclical Returns To Scale," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 65(1), pages 253-282, February.
    38. Filippo Ferroni, 2010. "Commentary on MEDEA: A DSGE model for the Spanish economy," SERIEs: Journal of the Spanish Economic Association, Springer;Spanish Economic Association, vol. 1(1), pages 245-249, March.
    39. Lubik, Thomas A. & Matthes, Christian & Verona, Fabio, 2019. "Assessing U.S. aggregate fluctuations across time and frequencies," Bank of Finland Research Discussion Papers 5/2019, Bank of Finland.
    40. Sorge, Marco M., 2021. "Stabilizing Taylor rules and determinacy under unit root supply shocks: A re-examination," Journal of Macroeconomics, Elsevier, vol. 68(C).
    41. Luca Fanelli, 2009. "Estimation of quasi-rational DSGE monetary models," Quaderni di Dipartimento 3, Department of Statistics, University of Bologna.
    42. Thomas A. Lubik & Pierre-Daniel G. Sarte & Felipe Schwartzman, 2014. "What Inventory Behavior Tells Us About How Business Cycles Have Changed," Working Paper 14-6, Federal Reserve Bank of Richmond.
    43. Olivier Coibion & Yuriy Gorodnichenko, 2010. "Strategic Interaction among Heterogeneous Price-Setters in an Estimated DSGE Model," Working Papers 93, Department of Economics, College of William and Mary.
    44. Renato Faccini & Leonardo Melosi, 2018. "The Role of News about TFP in U.S. Recessions and Booms," Working Paper Series WP-2018-6, Federal Reserve Bank of Chicago.
    45. 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.
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    50. 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.
    51. 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.
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    53. 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.
    54. Sergei Seleznev, 2016. "Solving DSGE models with stochastic trends," Bank of Russia Working Paper Series wps15, Bank of Russia.
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  31. Emanuel Moench & Serena Ng & Simon M. Potter, 2009. "Dynamic hierarchical factor models," Staff Reports 412, Federal Reserve Bank of New York.

    Cited by:

    1. Bai, Jushan & Wang, Peng, 2012. "Identification and estimation of dynamic factor models," MPRA Paper 38434, University Library of Munich, Germany.
    2. Bresson, G. & Etienne, J-M. & Mohnen, P., 2014. "How important is innovation? : A Bayesian factor-augmented productivity model on panel data," MERIT Working Papers 2014-052, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
    3. Claudia M. Buch & Sandra Eickmeier & Esteban Prieto, 2014. "Macroeconomic Factors and Microlevel Bank Behavior," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 46(4), pages 715-751, June.
    4. Elena Andreou & Eric Ghysels & Andros Kourtellos, 2010. "Should macroeconomic forecasters use daily financial data and how?," University of Cyprus Working Papers in Economics 09-2010, University of Cyprus Department of Economics.
    5. Guenter W. Beck & Kirstin Hubrich & Massimiliano Marcellino, 2016. "On the Importance of Sectoral and Regional Shocks for Price‐Setting," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 31(7), pages 1234-1253, November.
    6. Stock, James H. & Watson, Mark, 2011. "Dynamic Factor Models," Scholarly Articles 28469541, Harvard University Department of Economics.
    7. Neville Francis & Michael T. Owyang & Ozge Savascin, 2017. "An endogenously clustered factor approach to international business cycles," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 32(7), pages 1261-1276, November.
    8. Marcel Förster & Markus Jorra & Peter Tillmann, 2012. "The Dynamics of International Capital Flows: Results from a Dynamic Hierarchical Factor Model," MAGKS Papers on Economics 201221, Philipps-Universität Marburg, Faculty of Business Administration and Economics, Department of Economics (Volkswirtschaftliche Abteilung).
    9. Parker, Miles, 2018. "How global is “global inflation”?," Journal of Macroeconomics, Elsevier, vol. 58(C), pages 174-197.
    10. Neville Francis & Eric Ghysels & Michael T. Owyang, 2011. "The low-frequency impact of daily monetary policy shocks," Working Papers 2011-009, Federal Reserve Bank of St. Louis.
    11. Banica Logica & Stefan Liviu Cristian & Jurian Mariana, 2014. "Business Intelligence For Educational Purpose," Balkan Region Conference on Engineering and Business Education, Sciendo, vol. 1(1), pages 333-338, August.
    12. F. Ferroni & B. Klaus, 2014. "Euro Area business cycles in turbulent times: convergence or decoupling?," Working papers 522, Banque de France.
    13. Claudia M. Buch & Sandra Eickmeier & Esteban Prieto, 2010. "Macroeconomic Factors and Micro-Level Bank Risk," CESifo Working Paper Series 3194, CESifo.
    14. Koop, Gary & Korobilis, Dimitris, 2009. "UK Macroeconomic Forecasting with Many Predictors: Which Models Forecast Best and When Do They Do So?," SIRE Discussion Papers 2009-40, Scottish Institute for Research in Economics (SIRE).
    15. Nagayasu, Jun, 2013. "Interdependence in Real Effective Exchange Rates: Evidence from the Dynamic Hierarchical Factor Model," MPRA Paper 45955, University Library of Munich, Germany.
    16. Luca Margaritella & Joakim Westerlund, 2023. "Using information criteria to select averages in CCE," The Econometrics Journal, Royal Economic Society, vol. 26(3), pages 405-421.
    17. Chou, Ray Yeutien & Yen, Tso-Jung & Yen, Yu-Min, 2017. "Risk evaluations with robust approximate factor models," Journal of Banking & Finance, Elsevier, vol. 82(C), pages 244-264.
    18. Hallin, Marc & Liska, Roman, 2011. "Dynamic factors in the presence of blocks," Journal of Econometrics, Elsevier, vol. 163(1), pages 29-41, July.
    19. Krzysztof Beck & Karen Jackson, 2024. "International trade fluctuations: Global versus regional factors," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 57(1), pages 331-358, February.
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    22. Beck, Guenter W. & Hubrich, Kirstin & Marcellino, Massimiliano, 2009. "On the importance of sectoral shocks for price-setting," CFS Working Paper Series 2009/32, Center for Financial Studies (CFS).
    23. Hosszú, Zsuzsanna, 2018. "The impact of credit supply shocks and a new Financial Conditions Index based on a FAVAR approach," Economic Systems, Elsevier, vol. 42(1), pages 32-44.

  32. Jushan Bai & Chihwa Kao & Serena Ng, 2007. "Panel Cointegration with Global Stochastic Trends," Center for Policy Research Working Papers 90, Center for Policy Research, Maxwell School, Syracuse University.

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    1. Eberhardt, Markus & Helmers, Christian & Strauss, Hubert, 2010. "Do spillovers matter when estimating private returns to R&D?," Economic and Financial Reports 2010/1, European Investment Bank, Economics Department.
    2. Igor Masten & Massimiliano Marcellino & Anindya Banerjeey, 2009. "Forecasting with Factor-augmented Error Correction Models," RSCAS Working Papers 2009/32, European University Institute.
    3. Matteo Barigozzi & Lorenzo Trapani, 2018. "Determining the dimension of factor structures in non-stationary large datasets," Papers 1806.03647, arXiv.org.
    4. Banerjee, Anindya & Marcellino, Massimiliano & Masten, Igor, 2014. "Structural FECM: Cointegration in large-scale structural FAVAR models," CEPR Discussion Papers 9858, C.E.P.R. Discussion Papers.
    5. BODART, Vincent & CANDELON, Bertrand & CARPANTIER, Jean - François, 2011. "Real exchanges rates in commodity producing countries : A reappraisal," LIDAM Discussion Papers CORE 2011006, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    6. Byrne, Joseph P. & Fiess, Norbert & MacDonald, Ronald, 2011. "The global dimension to fiscal sustainability," Journal of Macroeconomics, Elsevier, vol. 33(2), pages 137-150, June.
    7. Bashir, Muhammad Adnan & Dengfeng, Zhao & Amin, Fouzia & Mentel, Grzegorz & Raza, Syed Ali & Bashir, Muhammad Farhan, 2023. "Transition to greener electricity and resource use impact on environmental quality: Policy based study from OECD countries," Utilities Policy, Elsevier, vol. 81(C).
    8. Zhang, Can & Zhang, Liangyu & Liu, Liyan & Du, Chaofei, 2024. "The study of the relationship between green finance and resource efficiency in east asian economies," Resources Policy, Elsevier, vol. 89(C).
    9. Rafaty, R. & Dolphin, G. & Pretis, F., 2020. "Carbon pricing and the elasticity of CO2 emissions," Cambridge Working Papers in Economics 20116, Faculty of Economics, University of Cambridge.
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    11. Carl S. Bonham & Peter Fuleky & Qianxue Zhao, 2013. "Estimating Demand Elasticities in Non-Stationary Panels: The Case of Hawaii's Tourism Industry," Working Papers 201303, University of Hawaii at Manoa, Department of Economics.
    12. Syed Abul Basher & Stefano Fachin, 2014. "Investigating long-run demand for broad money in the Gulf Arab countries," Middle East Development Journal, Taylor & Francis Journals, vol. 6(2), pages 199-214, July.
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    15. Selien De Schryder and Gert Peersman, 2015. "The U.S. Dollar Exchange Rate and the Demand for Oil," The Energy Journal, International Association for Energy Economics, vol. 0(Number 3).
    16. Michal Rubaszek & Dobromil Serwa, 2011. "Determinants of credit to households in a life-cycle model," NBP Working Papers 92, Narodowy Bank Polski.
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    20. Liu, Haiying & Saleem, Muhammad Mansoor & Al-Faryan, Mamdouh Abdulaziz Saleh & Khan, Irfan & Zafar, Muhammad Wasif, 2022. "Impact of governance and globalization on natural resources volatility: The role of financial development in the Middle East North Africa countries," Resources Policy, Elsevier, vol. 78(C).
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    38. Jean-François Carpantier, 2019. "Commodity Prices In Empirical Research," LIDAM Discussion Papers IRES 2020021, Université catholique de Louvain, Institut de Recherches Economiques et Sociales (IRES).
    39. Ali, Shahid & Xiaohong, Zhou & Hassan, Syed Tauseef, 2024. "The hidden drivers of human development: Assessing its role in shaping BRICS-T's economics complexity, and bioenergy transition," Renewable Energy, Elsevier, vol. 221(C).
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    43. Muhammad Ibrahim Shah, 2021. "Investigating the Role of Regional Economic Integration on Growth: Fresh Insights from South Asia," Global Journal of Emerging Market Economies, Emerging Markets Forum, vol. 13(1), pages 35-57, January.
    44. Markus Eberhardt & Francis Teal, 2008. "Modeling Technology and Technological Change in Manufacturing: How do Countries Differ?," CSAE Working Paper Series 2008-12, Centre for the Study of African Economies, University of Oxford.
    45. Tolga Omay & Mubariz Hasanov & Nuri Uçar, 2012. "Energy Consumption and Economic Growth: Evidence from Nonlinear Panel Cointegration and Causality Tests," Hacettepe University Department of Economics Working Papers 20130, Hacettepe University, Department of Economics.
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    66. Jaap W. B. Bos & Bertrand Candelon & Claire Economidou, 2016. "Does knowledge spill over across borders and technology regimes?," Journal of Productivity Analysis, Springer, vol. 46(1), pages 63-82, August.
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  36. Jushan Bai & Serena Ng, 2004. "Evaluating Latent and Observed Factors in Macroeconomics and Financ," Econometrics 0408007, University Library of Munich, Germany.

    Cited by:

    1. Mastromarco, Camilla & Simar, Leopold, 2014. "Global Dependence and Productivity: A Robust Nonparametric World Frontier Analysis," LIDAM Discussion Papers ISBA 2014049, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
    2. David Rapach & Jack Strauss, 2010. "Bagging or Combining (or Both)? An Analysis Based on Forecasting U.S. Employment Growth," Econometric Reviews, Taylor & Francis Journals, vol. 29(5-6), pages 511-533.
    3. Marine Carrasco & Barbara Rossi, 2016. "In-sample inference and forecasting in misspecified factor models," Economics Working Papers 1530, Department of Economics and Business, Universitat Pompeu Fabra.
    4. Young Se Kim & Hyok Jung Kim, 2015. "Disaggregated Approach to Measuring Core Inflation," Korean Economic Review, Korean Economic Association, vol. 31, pages 145-176.
    5. Xun Lu & Su Liangjun, 2015. "Shrinkage Estimation of Dynamic Panel Data Models with Interactive Fixed Effects," Working Papers 02-2015, Singapore Management University, School of Economics.
    6. Wu, Jianhong, 2019. "Detecting irrelevant variables in possible proxies for the latent factors in macroeconomics and finance," Economics Letters, Elsevier, vol. 176(C), pages 60-63.
    7. Mastromarco, Camilla & Simar, Leopold, 2018. "Globalization and productivity: A robust nonparametric world frontier analysis," LIDAM Reprints ISBA 2018008, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
    8. Marek Chudý & Erhard Reschenhofer, 2019. "Macroeconomic Forecasting with Factor-Augmented Adjusted Band Regression," Econometrics, MDPI, vol. 7(4), pages 1-14, December.
    9. Heaton, Chris & Oslington, Paul, 2010. "Micro vs macro explanations of post-war US unemployment movements," Economics Letters, Elsevier, vol. 106(2), pages 87-91, February.
    10. Chihwa Kao & Lorenzo Trapani & Giovanni Urga, 2012. "Asymptotics for Panel Models with Common Shocks," Econometric Reviews, Taylor & Francis Journals, vol. 31(4), pages 390-439.
    11. In Choi & Jorg Breitung, 2011. "Factor models," Working Papers 1121, Nam Duck-Woo Economic Research Institute, Sogang University (Former Research Institute for Market Economy), revised Dec 2011.
    12. Herrerias, M.J. & Ordoñez, J., 2012. "New evidence on the role of regional clusters and convergence in China (1952–2008)," China Economic Review, Elsevier, vol. 23(4), pages 1120-1133.
    13. Bianco, Dominique & Niang, Abdou-Aziz, 2012. "On international spillovers," Economics Letters, Elsevier, vol. 117(1), pages 280-282.
    14. Araújo, Fabio & Issler, João Victor & Fernandes, Marcelo, 2005. "Estimating the stochastic discount factor without a utility function," FGV EPGE Economics Working Papers (Ensaios Economicos da EPGE) 583, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil).
    15. Eickmeier, Sandra, 2006. "Comovements and heterogeneity in the Comovements and heterogeneity in the dynamic factor model," Discussion Paper Series 1: Economic Studies 2006,31, Deutsche Bundesbank.
    16. Anisha Ghosh & Oliver Linton, 2019. "Estimation with Mixed Data Frequencies: A Bias-Correction Approach," CeMMAP working papers CWP65/19, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    17. Araújo, Fabio & Issler, João Victor & Fernandes, Marcelo, 2006. "A stochastic discount factor approach to asset pricing using panel data," FGV EPGE Economics Working Papers (Ensaios Economicos da EPGE) 628, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil).
    18. Norman R. Swanson & Nii Ayi Armah, 2011. "Seeing Inside the Black Box: Using Diffusion Index Methodology to Construct Factor Proxies in Largescale Macroeconomic Time Series Environments," Departmental Working Papers 201105, Rutgers University, Department of Economics.
    19. Cheng, Mingmian & Liao, Yuan & Yang, Xiye, 2023. "Uniform predictive inference for factor models with instrumental and idiosyncratic betas," Journal of Econometrics, Elsevier, vol. 237(2).
    20. Roberta Fiori & Simonetta Iannotti, 2010. "On the interaction between market and credit risk: a factor-augmented vector autoregressive (FAVAR) approach," Temi di discussione (Economic working papers) 779, Bank of Italy, Economic Research and International Relations Area.
    21. Zhang, Yixiao & Yu, Cindy L. & Li, Haitao, 2022. "Nowcasting GDP Using Dynamic Factor Model with Unknown Number of Factors and Stochastic Volatility: A Bayesian Approach," Econometrics and Statistics, Elsevier, vol. 24(C), pages 75-93.
    22. Mariam Camarero & Estrella Gómez & Cecilio Tamarit, 2012. "The euro impact on trade. Long run evidence with structural breaks," Working Papers 1209, Department of Applied Economics II, Universidad de Valencia.
    23. Liangjun Su & Sainan Jin & Yonghui Zhang, 2014. "Specification Test for Panel Data Models with Interactive Fixed Effects," Working Papers 08-2014, Singapore Management University, School of Economics.
    24. Alhassan Abdullah Mohammed, 2011. "A Coincident Indicator of the Gulf Cooperation Council Business Cycle," Review of Middle East Economics and Finance, De Gruyter, vol. 6(3), pages 1-23, February.
    25. Norman R. Swanson & Weiqi Xiong & Xiye Yang, 2020. "Predicting interest rates using shrinkage methods, real‐time diffusion indexes, and model combinations," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 35(5), pages 587-613, August.
    26. Castagnetti, Carolina & Rossi, Eduardo & Trapani, Lorenzo, 2019. "A two-stage estimator for heterogeneous panel models with common factors," Econometrics and Statistics, Elsevier, vol. 11(C), pages 63-82.
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    30. Geert Mesters & Christian Brownlees, 2017. "Detecting Granular Time Series in Large Panels," Working Papers 991, Barcelona School of Economics.
    31. Cecilio R. Tamarit Escalona & Estrella Gómez, 2011. "The euro effect on trade: evidence in gravity equations using panel cointegration techniques," Working Papers. Serie EC 2011-07, Instituto Valenciano de Investigaciones Económicas, S.A. (Ivie).
    32. Pilar Poncela & Esther Ruiz, 2016. "Small- Versus Big-Data Factor Extraction in Dynamic Factor Models: An Empirical Assessment," Advances in Econometrics, in: Dynamic Factor Models, volume 35, pages 401-434, Emerald Group Publishing Limited.
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    34. Chen, Liang, 2011. "Detecting big structural breaks in large factor models," UC3M Working papers. Economics we1141, Universidad Carlos III de Madrid. Departamento de Economía.
    35. Mario J. Crucini & M. Ayhan Kose & Christopher Otrok, 2008. "What Are the Driving Forces of International Business Cycles?," NBER Working Papers 14380, National Bureau of Economic Research, Inc.
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    38. Eichengreen, Barry & Mody, Ashoka & Nedeljkovic, Milan & Sarno, Lucio, 2012. "How the Subprime Crisis went global: Evidence from bank credit default swap spreads," Journal of International Money and Finance, Elsevier, vol. 31(5), pages 1299-1318.
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    40. Eric Bataille & Catherine Bruneau & Frederic Michaud, 2007. "Business cycle and corporate failure in France: Is there a link?," Computational Economics, Springer;Society for Computational Economics, vol. 29(2), pages 173-197, March.
    41. Kim, Hyun Hak & Swanson, Norman R., 2018. "Mining big data using parsimonious factor, machine learning, variable selection and shrinkage methods," International Journal of Forecasting, Elsevier, vol. 34(2), pages 339-354.
    42. Peter C.B. Phillips & Donggyu Sul, 2007. "Transition Modeling and Econometric Convergence Tests," Cowles Foundation Discussion Papers 1595, Cowles Foundation for Research in Economics, Yale University.
    43. Cosimo Magazzino & Marco Mele & Claudiu Tiberiu Albulescu & Nicholas Apergis & Mihai Ioan Mutascu, 2024. "The presence of a latent factor in gasoline and diesel prices co-movements," Post-Print hal-04802059, HAL.
    44. Lima, Luiz Renato Regis de Oliveira & Issler, João Victor, 2008. "A panel data approach to economic forecasting: the bias-corrected average forecast," FGV EPGE Economics Working Papers (Ensaios Economicos da EPGE) 668, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil).
    45. Castagnetti, Carolina & Rossi, Eduardo, 2008. "Estimation methods in panel data models with observed and unobserved components: a Monte Carlo study," MPRA Paper 26196, University Library of Munich, Germany.
    46. Marcellino, Massimiliano & Carriero, Andrea & Corsello, Francesco, 2019. "The Global Component of Inflation Volatility," CEPR Discussion Papers 13470, C.E.P.R. Discussion Papers.
    47. Jiahui Xi & Conghua Wen & Yifan Tang & Feifan Zhao, 2024. "A factor score clustering approach to analyze the biopharmaceutical sector in the Chinese market during COVID-19," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 10(1), pages 1-28, December.
    48. Emmanuel Dhyne & Catherine Fuss & M. Hashem Pesaran & Patrick Sevestre, 2011. "Lumpy Price Adjustments: A Microeconometric Analysis," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 29(4), pages 529-540, October.
    49. Owyang, Michael T. & Rapach, David E. & Wall, Howard J., 2009. "States and the business cycle," Journal of Urban Economics, Elsevier, vol. 65(2), pages 181-194, March.
    50. Abdou-Aziz Niang & Abdoulaye Diagne & Marie-Claude Pichery, 2011. "Exploring the finance-real economy link in U.S.: empirical evidence from panel unit root and cointegration analysis," Empirical Economics, Springer, vol. 40(1), pages 253-268, February.
    51. Martin Wagner, 2008. "On PPP, unit roots and panels," Empirical Economics, Springer, vol. 35(2), pages 229-249, September.
    52. Goyal, Amit & Pérignon, Christophe & Villa, Christophe, 2008. "How common are common return factors across the NYSE and Nasdaq?," Journal of Financial Economics, Elsevier, vol. 90(3), pages 252-271, December.
    53. Joakim Westerlund, 2020. "A cross‐section average‐based principal components approach for fixed‐T panels," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 35(6), pages 776-785, September.
    54. Wei-Choun Yu, 2008. "Macroeconomic and financial market volatilities: an empirical evidence of factor model," Economics Bulletin, AccessEcon, vol. 3(33), pages 1-18.
    55. Sun, Yucheng & Xu, Wen & Zhang, Chuanhai, 2023. "Identifying latent factors based on high-frequency data," Journal of Econometrics, Elsevier, vol. 233(1), pages 251-270.
    56. Kleibergen, Frank & Zhan, Zhaoguo, 2015. "Unexplained factors and their effects on second pass R-squared’s," Journal of Econometrics, Elsevier, vol. 189(1), pages 101-116.
    57. Herrerias, M.J., 2013. "The environmental convergence hypothesis: Carbon dioxide emissions according to the source of energy," Energy Policy, Elsevier, vol. 61(C), pages 1140-1150.
    58. Dong, Yingjie & Huang, Wenxin & Tse, Yiu-Kuen, 2023. "Price comovement and market segmentation of Chinese A- and H-shares: Evidence from a panel latent-factor model," Journal of International Money and Finance, Elsevier, vol. 131(C).
    59. Nicholas Brown & Joakim Westerlund, 2022. "Testing Factors In Cce," Working Paper 1491, Economics Department, Queen's University.
    60. Norman R. Swanson, 2016. "Comment," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 34(3), pages 348-353, July.
    61. Lin, Jianhao & Wang, Meijin & Cai, Lingfeng, 2012. "Are the Fama–French factors good proxies for latent risk factors? Evidence from the data of SHSE in China," Economics Letters, Elsevier, vol. 116(2), pages 265-268.
    62. Eduardo A. Souza-Rodrigues, 2016. "Nonparametric Regression with Common Shocks," Econometrics, MDPI, vol. 4(3), pages 1-17, September.
    63. Kelly, Logan, 2007. "Measuring the Economic Stock of Money," MPRA Paper 4914, University Library of Munich, Germany.
    64. Jushan Bai & Serena Ng, 2008. "Extremum Estimation when the Predictors are Estimated from Large Panels," Annals of Economics and Finance, Society for AEF, vol. 9(2), pages 201-222, November.
    65. Dai, Chaoxing & Lu, Kun & Xiu, Dacheng, 2019. "Knowing factors or factor loadings, or neither? Evaluating estimators of large covariance matrices with noisy and asynchronous data," Journal of Econometrics, Elsevier, vol. 208(1), pages 43-79.
    66. Demir, Ishak, 2019. "International Spillovers of U.S. Monetary Policy," LEAF Working Paper Series 19-02, University of Lincoln, Lincoln International Business School, Lincoln Economics and Finance Research Group (LEAF).
    67. Cathy Chen & Wolfgang Härdle, 2015. "Common factors in credit defaults swap markets," Computational Statistics, Springer, vol. 30(3), pages 845-863, September.
    68. Atak, Alev & Kapetanios, George, 2013. "A factor approach to realized volatility forecasting in the presence of finite jumps and cross-sectional correlation in pricing errors," Economics Letters, Elsevier, vol. 120(2), pages 224-228.
    69. Zafar, Muhammad Wasif & Zaidi, Syed Anees Haider & Sinha, Avik & Gedikli, Ayfer & Hou, Fujun, 2019. "The role of stock market and banking sector development, and renewable energy consumption in carbon emissions: Insights from G-7 and N-11 countries," Resources Policy, Elsevier, vol. 62(C), pages 427-436.
    70. Markus Pelger, 2020. "Understanding Systematic Risk: A High‐Frequency Approach," Journal of Finance, American Finance Association, vol. 75(4), pages 2179-2220, August.
    71. Abdullah Alhassan, 2009. "A Coincident Indicator of the Gulf Cooperation Council (GCC) Business Cycle," IMF Working Papers 2009/073, International Monetary Fund.
    72. Pérez-Quirós, Gabriel & Camacho, Máximo & Alvarez, Rocio, 2012. "Finite sample performance of small versus large scale dynamic factor models," CEPR Discussion Papers 8867, C.E.P.R. Discussion Papers.
    73. Guido M. Kuersteiner & Ingmar R. Prucha, 2020. "Dynamic Spatial Panel Models: Networks, Common Shocks, and Sequential Exogeneity," Econometrica, Econometric Society, vol. 88(5), pages 2109-2146, September.
    74. Muhammad Wasif Zafar & Asif Saeed & Syed Anees Haider Zaidi & Abdul Waheed, 2021. "The linkages among natural resources, renewable energy consumption, and environmental quality: A path toward sustainable development," Sustainable Development, John Wiley & Sons, Ltd., vol. 29(2), pages 353-362, March.
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    77. Colin T. Bowers & Chris Heaton, 2013. "What does high-dimensional factor analysis tell us about risk factors in the Australian stock market?," Applied Economics, Taylor & Francis Journals, vol. 45(11), pages 1395-1404, April.
    78. Kim Dukpa & Kim Yunjung & Bak Yuhyeon, 2017. "Multi-level factor analysis of bond risk premia," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 21(5), pages 1-19, December.
    79. Bai, Jushan & Ando, Tomohiro, 2013. "Multifactor asset pricing with a large number of observable risk factors and unobservable common and group-specific factors," MPRA Paper 52785, University Library of Munich, Germany, revised Dec 2013.
    80. Camarero, Mariam & Gómez, Estrella & Tamarit, Cecilio, 2014. "Is the ‘euro effect’ on trade so small after all? New evidence using gravity equations with panel cointegration techniques," Economics Letters, Elsevier, vol. 124(1), pages 140-142.
    81. Shahrin Saaid Shaharuddin & Wee-Yeap Lau & Tien-Ming Yip, 2017. "Dynamic Linkages between Newly Developed Islamic Equity Style Indices: Is Growth Style More Influential Than Value Style?," Capital Markets Review, Malaysian Finance Association, vol. 25(2), pages 49-64.
    82. Kelava, Augustin & Kohler, Michael & Krzyżak, Adam & Schaffland, Tim Fabian, 2017. "Nonparametric estimation of a latent variable model," Journal of Multivariate Analysis, Elsevier, vol. 154(C), pages 112-134.
    83. Kim, Young Se, 2015. "Electricity consumption and economic development: Are countries converging to a common trend?," Energy Economics, Elsevier, vol. 49(C), pages 192-202.
    84. Mohitosh Kejriwal & Xiaoxiao Li & Linh Nguyen & Evan Totty, 2024. "The efficacy of ability proxies for estimating the returns to schooling: A factor model‐based evaluation," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 39(1), pages 3-21, January.
    85. Hyun Hak Kim, 2013. "Forecasting Macroeconomic Variables Using Data Dimension Reduction Methods: The Case of Korea," Working Papers 2013-26, Economic Research Institute, Bank of Korea.
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    88. Tan, Xueping & Sirichand, Kavita & Vivian, Andrew & Wang, Xinyu, 2022. "Forecasting European carbon returns using dimension reduction techniques: Commodity versus financial fundamentals," International Journal of Forecasting, Elsevier, vol. 38(3), pages 944-969.
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  37. Jushan Bai & Serena Ng, 2004. "Confidence Intervals for Diffusion Index Forecasts with a Large Number of Predictor," Econometrics 0408006, University Library of Munich, Germany.

    Cited by:

    1. Massimiliano Marcellino, 2005. "Pooling-based Data Interpolation and Backdating," Working Papers 299, IGIER (Innocenzo Gasparini Institute for Economic Research), Bocconi University.
    2. Kilian, Lutz & Inoue, Atsushi, 2005. "How Useful is Bagging in Forecasting Economic Time Series? A Case Study of US CPI Inflation," CEPR Discussion Papers 5304, C.E.P.R. Discussion Papers.
    3. Jushan Bai & Serena Ng, 2004. "Evaluating Latent and Observed Factors in Macroeconomics and Financ," Econometrics 0408007, University Library of Munich, Germany.
    4. Angelini, Elena & Henry, Jérôme & Marcellino, Massimiliano, 2003. "Interpolation and backdating with a large information set," Working Paper Series 252, European Central Bank.
    5. Antoine A. Djogbenou, 2020. "Comovements in the real activity of developed and emerging economies: A test of global versus specific international factors," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 35(3), pages 344-370, April.
    6. Daniel Kaufmann & Sarah M. Lein, 2012. "Is There a Swiss Price Puzzle?," Swiss Journal of Economics and Statistics (SJES), Swiss Society of Economics and Statistics (SSES), vol. 148(I), pages 57-75, March.

  38. Jean Boivin & Serena Ng, 2003. "Are More Data Always Better for Factor Analysis?," NBER Working Papers 9829, National Bureau of Economic Research, Inc.

    Cited by:

    1. Maurin, Laurent & Drechsel, Katja, 2008. "Flow of conjunctural information and forecast of euro area economic activity," Working Paper Series 925, European Central Bank.
    2. Kaufmann, Sylvia & Schumacher, Christian, 2012. "Finding relevant variables in sparse Bayesian factor models: Economic applications and simulation results," Discussion Papers 29/2012, Deutsche Bundesbank.
    3. Martin Schneider & Martin Spitzer, 2004. "Forecasting Austrian GDP using the generalized dynamic factor model," Working Papers 89, Oesterreichische Nationalbank (Austrian Central Bank).
    4. Necati Tekatli, 2010. "A Bayesian Generalized Factor Model with Comparative Analysis (Genellestirilmis Faktor Modellerinin Bayesyen Yaklasimi ve Karsilastirmali Analizi)," Working Papers 1018, Research and Monetary Policy Department, Central Bank of the Republic of Turkey.
    5. Gary Koop & Simon Potter, 2003. "Forecasting in Large Macroeconomic Panels using Bayesian Model Averaging," Discussion Papers in Economics 04/16, Division of Economics, School of Business, University of Leicester.
    6. Oguzhan Cepni & I. Ethem Guney & Norman R. Swanson, 2020. "Forecasting and nowcasting emerging market GDP growth rates: The role of latent global economic policy uncertainty and macroeconomic data surprise factors," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 39(1), pages 18-36, January.
    7. Oxana Babecka Kucharcukova & Jan Bruha, 2016. "Nowcasting the Czech Trade Balance," Working Papers 2016/11, Czech National Bank.
    8. Evren Erdogan Cosar & Sevim Kosem & Cagri Sarikaya, 2013. "Do We Really Need Filters In Estimating Output Gap? : Evidence From Turkey," Working Papers 1333, Research and Monetary Policy Department, Central Bank of the Republic of Turkey.
    9. Maximo Camacho & Jaime Martinez-Martin, 2014. "Real-time forecasting US GDP from small-scale factor models," Empirical Economics, Springer, vol. 47(1), pages 347-364, August.
    10. Giannone, Domenico & Reichlin, Lucrezia & Small, David, 2008. "Nowcasting: The real-time informational content of macroeconomic data," Journal of Monetary Economics, Elsevier, vol. 55(4), pages 665-676, May.
    11. Delle Chiaie, Simona & Ferrara, Laurent & Giannone, Domenico, 2018. "Common factors of commodity prices," Research Bulletin, European Central Bank, vol. 51.
    12. Zhang, Bo & Nguyen, Bao H. & Sun, Chuanwang, 2024. "Forecasting oil prices: Can large BVARs help?," Energy Economics, Elsevier, vol. 137(C).
    13. Jean-Armand Gnagne & Kevin Moran, 2020. "Forecasting Bank Failures in a Data-Rich Environment," Working Papers 20-13, Chair in macroeconomics and forecasting, University of Quebec in Montreal's School of Management.
    14. Carstensen, Kai & Heinrich, Markus & Reif, Magnus & Wolters, Maik H., 2020. "Predicting ordinary and severe recessions with a three-state Markov-switching dynamic factor model," International Journal of Forecasting, Elsevier, vol. 36(3), pages 829-850.
    15. Hilde C. Bjørnland & Leif Anders Thorsrud & Sepideh K. Zahiri, 2016. "Do central banks respond timely to developments in the global economy?," Working Papers No 8/2016, Centre for Applied Macro- and Petroleum economics (CAMP), BI Norwegian Business School.
    16. Ivana Komunjer & Michael T. Owyang, 2012. "Multivariate Forecast Evaluation and Rationality Testing," The Review of Economics and Statistics, MIT Press, vol. 94(4), pages 1066-1080, November.
    17. Martínez-Martín, Jaime & Rusticelli, Elena, 2021. "Keeping track of global trade in real time," International Journal of Forecasting, Elsevier, vol. 37(1), pages 224-236.
    18. Danilo Cascaldi-Garcia & Matteo Luciani & Michele Modugno, 2024. "Lessons from nowcasting GDP across the world," Chapters, in: Michael P. Clements & Ana Beatriz Galvão (ed.), Handbook of Research Methods and Applications in Macroeconomic Forecasting, chapter 8, pages 187-217, Edward Elgar Publishing.
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    483. Samvel S. Lazaryan & Nikita E. German, 2018. "Forecasting Current GDP Dynamics With Google Search Data," Finansovyj žhurnal — Financial Journal, Financial Research Institute, Moscow 125375, Russia, issue 6, pages 83-94, December.
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  39. Serena Ng & Pierre Perron, 2002. "PPP May not Hold Afterall: A Further Investigation," CEMA Working Papers 83, China Economics and Management Academy, Central University of Finance and Economics.

    Cited by:

    1. Mazzotta, Stefano, 2008. "How important is asymmetric covariance for the risk premium of international assets?," Journal of Banking & Finance, Elsevier, vol. 32(8), pages 1636-1647, August.
    2. Lee, Hwa-Taek & Yoon, Gawon, 2007. "Does Purchasing Power Parity Hold Sometimes? Regime Switching in Real Exchange Rates," Economics Working Papers 2007-24, Christian-Albrechts-University of Kiel, Department of Economics.
    3. Frederic Bec & Melika Ben Salem & Marine Carrasco, 2004. "Tests for Unit-Root versus Threshold Specification With an Application to the Purchasing Power Parity Relationship," Journal of Business & Economic Statistics, American Statistical Association, vol. 22, pages 382-395, October.
    4. Maican, Florin G. & Sweeney, Richard J., 2006. "Real Exchange Rate Adjustment In European Transition Countries," Working Papers in Economics 202, University of Gothenburg, Department of Economics.
    5. Philip Hans Franses & Dick van Dijk, 2006. "A simple test for PPP among traded goods," Applied Financial Economics, Taylor & Francis Journals, vol. 16(1-2), pages 19-27.
    6. Seung Hyun Hong & Peter C. B. Phillips, 2005. "Testing Linearity in Cointegrating Relations with an Application to Purchasing Power Parity," Cowles Foundation Discussion Papers 1541, Cowles Foundation for Research in Economics, Yale University.
    7. de Andrade, Joaquim Pinto & Divino, Jose Angelo, 2005. "Monetary policy of the Bank of Japan--inflation target versus exchange rate target," Japan and the World Economy, Elsevier, vol. 17(2), pages 189-208, April.
    8. De-Chih Liu, 2011. "Hysteresis Hypothesis in Job Creation and Destruction: Evidence from the U.S," Annals of Economics and Finance, Society for AEF, vol. 12(2), pages 389-409, November.
    9. Gawon Yoon, 2003. "The time series behaviour of Brazilian inflation rate: new evidence from unit root tests with good size and power," Applied Economics Letters, Taylor & Francis Journals, vol. 10(10), pages 627-631.
    10. Hwa-Taek Lee & Gawon Yoon, 2013. "Does purchasing power parity hold sometimes? Regime switching in real exchange rates," Applied Economics, Taylor & Francis Journals, vol. 45(16), pages 2279-2294, June.
    11. Mehmet Balcilar & Rangan Gupta & Charl Jooste, 2014. "Analysing South Africa's Inflation Persistence Using an ARFIMA Model with Markov-Switching Fractional Differencing Parameter," Working Papers 201440, University of Pretoria, Department of Economics.
    12. Alan M. Taylor, 2000. "A Century of Purchasing-Power Parity," NBER Working Papers 8012, National Bureau of Economic Research, Inc.
    13. David O. Cushman, 2008. "Real exchange rates may have nonlinear trends," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 13(2), pages 158-173.
    14. Christoph Fischer & Daniel Porath, 2010. "A reappraisal of the evidence on PPP: a systematic investigation into MA roots in panel unit root tests and their implications," Empirical Economics, Springer, vol. 39(3), pages 767-792, December.
    15. Jaramillo Franco, Miguel & Serván Lozano, Sergio, 2012. "Modeling exchange rate dynamics in Peru: A cointegration approach using the UIP and PPP," MPRA Paper 70772, University Library of Munich, Germany.
    16. Sofiane H. Sekioua, 2004. "Real interest parity (RIP) over the 20th century: New evidence based on confidence intervals for the dominant root and half-lives of shocks," Money Macro and Finance (MMF) Research Group Conference 2004 91, Money Macro and Finance Research Group.

  40. Serena Ng, 2001. "Can Sticky Prices Account for the Variations and Persistence in Real Exchange Rates?," Economics Working Paper Archive 468, The Johns Hopkins University,Department of Economics.

    Cited by:

    1. John W. Keating & Isaac K. Kanyama, 2015. "Is sticky price adjustment important for output fluctuations?," Review of Keynesian Economics, Edward Elgar Publishing, vol. 3(3), pages 392-418, July.
    2. Souki, Kaouthar & Enders, Walter, 2008. "Assessing the importance of global shocks versus country-specific shocks," Journal of International Money and Finance, Elsevier, vol. 27(8), pages 1420-1429, December.
    3. Ganguly, Srideep & Breuer, Janice Boucher, 2010. "Nominal exchange rate volatility, relative price volatility, and the real exchange rate," Journal of International Money and Finance, Elsevier, vol. 29(5), pages 840-856, September.
    4. Wu, Jyh-Lin & Chen, Pei-Fen, 2008. "A revisit on dissecting the PPP puzzle: Evidence from a nonlinear approach," Economic Modelling, Elsevier, vol. 25(4), pages 684-695, July.
    5. Mahbub Morshed, A.K.M. & Turnovsky, Stephen J., 2011. "Real exchange rate dynamics: The role of elastic labor supply," Journal of International Money and Finance, Elsevier, vol. 30(7), pages 1303-1322.
    6. Georgios Chortareas & George Kapetanios, 2004. "How Puzzling is the PPP Puzzle? An Alternative Half-Life Measure of Convergence to PPP," Working Papers 522, Queen Mary University of London, School of Economics and Finance.
    7. Hafedh Bouakez, 2003. "Real Exchange Rate Persistence in Dynamic General-Equilibrium Sticky-Price Models: An Analytical Characterization," Staff Working Papers 03-35, Bank of Canada.
    8. hafedh bouakez, 2003. "Nominal Rigidity, Desired Markup Variations, and Real Exchange Rate Persistence," Computing in Economics and Finance 2003 52, Society for Computational Economics.
    9. Mohsin, Mohammed & Park, Kihyun, 2015. "Monetary policy in a two-sector dependent economy," Economic Modelling, Elsevier, vol. 46(C), pages 118-129.

  41. Jushan Bai & Serena Ng, 2001. "A PANIC Attack on Unit Roots and Cointegration," Boston College Working Papers in Economics 519, Boston College Department of Economics.

    Cited by:

    1. Corielli, Francesco & Marcellino, Massimiliano, 2006. "Factor based index tracking," Journal of Banking & Finance, Elsevier, vol. 30(8), pages 2215-2233, August.
    2. Di Iorio, Francesca & Fachin, Stefano, 2021. "Evaluating restricted common factor models for non-stationary data," Econometrics and Statistics, Elsevier, vol. 17(C), pages 64-75.
    3. Ma, Qiang & Murshed, Muntasir & Khan, Zeeshan, 2021. "The nexuses between energy investments, technological innovations, emission taxes, and carbon emissions in China," Energy Policy, Elsevier, vol. 155(C).
    4. Igor Masten & Massimiliano Marcellino & Anindya Banerjeey, 2009. "Forecasting with Factor-augmented Error Correction Models," RSCAS Working Papers 2009/32, European University Institute.
    5. Marc Joëts & Valérie Mignon, 2011. "On the link between forward energy prices: A nonlinear panel cointegration approach," EconomiX Working Papers 2011-25, University of Paris Nanterre, EconomiX.
    6. Christian Dreger & Yanqun Zhang, 2013. "On the Relevance of Exports for Regional Output Growth in China," Discussion Papers of DIW Berlin 1264, DIW Berlin, German Institute for Economic Research.
    7. Christian Dreger & Hans-Eggert Reimers, 2006. "Hysteresis and Persistence in the Course of Unemployment: The EU and US Experience," Discussion Papers of DIW Berlin 572, DIW Berlin, German Institute for Economic Research.
    8. Arturas Juodis, 2014. "Cointegration Testing in Panel VAR Models Under Partial Identification and Spatial Dependence," UvA-Econometrics Working Papers 14-08, Universiteit van Amsterdam, Dept. of Econometrics.
    9. Olaf, POSCH & Klaus, WAELDE, 2005. "Natural volatility, welfare and taxation," Discussion Papers (ECON - Département des Sciences Economiques) 2005009, Université catholique de Louvain, Département des Sciences Economiques.
    10. Husain, Shaiara & Sohag, Kazi & Wu, Yanrui, 2024. "Proven reserve oil and renewable energy nexus: Efficacy of policy stringency," Resources Policy, Elsevier, vol. 90(C).
    11. Matteo Barigozzi & Lorenzo Trapani, 2018. "Determining the dimension of factor structures in non-stationary large datasets," Papers 1806.03647, arXiv.org.
    12. Tsangyao Chang & Tsung-pao Wu & Rangan Gupta, 2013. "Are House Prices in South Africa Really Non-Stationary? Evidence from SPSM-Based Panel KSS Test with a Fourier Function," Working Papers 201324, University of Pretoria, Department of Economics.
    13. Kwaku Addai & Berna Serener & Dervis Kirikkaleli, 2022. "Asymmetricity in the Effect of Economic and Environmental Factors on Social Sustainability: Empirical Evidence from Eastern European Economies using Dynamic Analysis with CCEMG & D-H Causality Approac," International Journal of Finance, Insurance and Risk Management, International Journal of Finance, Insurance and Risk Management, vol. 12(3), pages 75-93.
    14. Cheng, Ka Ming, 2022. "Doubts on natural rate of unemployment: Evidence and policy implications," The Quarterly Review of Economics and Finance, Elsevier, vol. 86(C), pages 230-239.
    15. Onatski, A. & Wang, C., 2018. "Extreme canonical correlations and high-dimensional cointegration analysis," Cambridge Working Papers in Economics 1805, Faculty of Economics, University of Cambridge.
    16. Rafiq, Shuddhasattwa & Salim, Ruhul & Nielsen, Ingrid, 2016. "Urbanization, openness, emissions, and energy intensity: A study of increasingly urbanized emerging economies," Energy Economics, Elsevier, vol. 56(C), pages 20-28.
    17. Valter Di Giacinto & Giacinto Micucci & Pasqualino Montanaro, 2012. "Network effects of public transport infrastructure: Evidence on Italian regions," Papers in Regional Science, Wiley Blackwell, vol. 91(3), pages 515-541, August.
    18. Di Iorio, Francesca & Fachin, Stefano, 2007. "Testing for Breaks in Cointegrated Panels - with an Application to the Feldstein-Horioka Puzzle," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 1, pages 1-23.
    19. Emirmahmutoglu, Furkan & Omay, Tolga, 2014. "Reexamining the PPP hypothesis: A nonlinear asymmetric heterogeneous panel unit root test," Economic Modelling, Elsevier, vol. 40(C), pages 184-190.
    20. Dreger, Christian & Herzer, Dierk, 2011. "A further examination of the export-led growth hypothesis," Discussion Papers 305, European University Viadrina Frankfurt (Oder), Department of Business Administration and Economics.
    21. Cheng, Ka Ming & Durmaz, Nazif & Kim, Hyeongwoo & Stern, Michael L., 2012. "Hysteresis vs. natural rate of US unemployment," Economic Modelling, Elsevier, vol. 29(2), pages 428-434.
    22. Gilles Dufrénot & Valérie Mignon & Anne Péguin-Feissolle, 2007. "Testing the Finance-Growth Link: is There a Difference Between Developed and Developing Countries?," Working Papers 2007-24, CEPII research center.
    23. Banerjee, Anindya & Marcellino, Massimiliano & Masten, Igor, 2014. "Structural FECM: Cointegration in large-scale structural FAVAR models," CEPR Discussion Papers 9858, C.E.P.R. Discussion Papers.
    24. Sul, Donggyu, 2009. "Panel unit root tests under cross section dependence with recursive mean adjustment," Economics Letters, Elsevier, vol. 105(1), pages 123-126, October.
    25. Joakim Westerlund & David L. Edgerton, 2008. "A Simple Test for Cointegration in Dependent Panels with Structural Breaks," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 70(5), pages 665-704, October.
    26. Cem Ertur & Antonio Musolesi, 2017. "Weak and Strong Cross-Sectional Dependence: A Panel Data Analysis of International Technology Diffusion," Post-Print hal-03539371, HAL.
    27. Yao, Yao & Ivanovski, Kris & Inekwe, John & Smyth, Russell, 2019. "Human capital and energy consumption: Evidence from OECD countries," Energy Economics, Elsevier, vol. 84(C).
    28. Christophe HURLIN & V. MIGNON, 2006. "Une synthèse des tests de co-intégration sur données de panel," LEO Working Papers / DR LEO 1724, Orleans Economics Laboratory / Laboratoire d'Economie d'Orleans (LEO), University of Orleans.
    29. Cassola, Nuno & Morana, Claudio, 2008. "Modelling short-term interest rate spreads in the euro money market," Working Paper Series 982, European Central Bank.
    30. Haoran Zhao & Sen Guo & Huiru Zhao, 2018. "Impacts of GDP, Fossil Fuel Energy Consumption, Energy Consumption Intensity, and Economic Structure on SO 2 Emissions: A Multi-Variate Panel Data Model Analysis on Selected Chinese Provinces," Sustainability, MDPI, vol. 10(3), pages 1-20, March.
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    803. Dreger Christian & Kosfeld Reinhold, 2010. "Do Regional Price Levels Converge?," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 230(3), pages 274-286, June.
    804. Zhongwen Liang, 2017. "A Unified Approach on the Local Power of Panel Unit Root Tests," Papers 1710.02944, arXiv.org.

  42. Serena Ng & Pierre Perron, 2001. "A Note on the Selection of Time Series Models," Boston College Working Papers in Economics 500, Boston College Department of Economics.

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    1. Konstantin Gluschenko, 2021. "Spatial pattern of Russia’s market integration," Spatial Economic Analysis, Taylor & Francis Journals, vol. 16(4), pages 449-470, October.
    2. Zacharias Psaradakis & Marián Vávra, 2019. "Portmanteau tests for linearity of stationary time series," Econometric Reviews, Taylor & Francis Journals, vol. 38(2), pages 248-262, February.
    3. Sobieralski, Joseph B., 2013. "The optimal aviation gasoline tax for U.S. general aviation," Transport Policy, Elsevier, vol. 29(C), pages 186-191.
    4. Yoosoon Chang, 2000. "Bootstrap Unit Root Tests in Panels with Cross-Sectional Dependency," Cowles Foundation Discussion Papers 1251, Cowles Foundation for Research in Economics, Yale University.
    5. Tiia P¸ss & Mare Viies & Reet Maldre, 2007. "Convergence Analysis of the Structure of Tax Revenue and Tax Burden in EU," Working Papers 166, Tallinn School of Economics and Business Administration, Tallinn University of Technology.
    6. Psaradakis, Zacharias & Vávra, Marián, 2014. "On testing for nonlinearity in multivariate time series," Economics Letters, Elsevier, vol. 125(1), pages 1-4.
    7. Erdenebat Bataa & Dong H. Kim & Denise R. Osborn, 2007. "Expectations Hypothesis Tests in the Presence of Model Uncertainty," Discussion Paper Series 0703, Institute of Economic Research, Korea University.
    8. Fossati, Sebastian, 2011. "Covariate Unit Root Tests with Good Size and Power," Working Papers 2011-4, University of Alberta, Department of Economics.
    9. Olivier Coibion, 2012. "Are the Effects of Monetary Policy Shocks Big or Small?," American Economic Journal: Macroeconomics, American Economic Association, vol. 4(2), pages 1-32, April.
    10. Brand, Claus & Reimers, Hans-Eggert & Seitz, Franz, 2003. "Forecasting real GDP: what role for narrow money?," Working Paper Series 254, European Central Bank.
    11. Giuseppe Cavaliere & Peter C. B. Phillips & Stephan Smeekes & A. M. Robert Taylor, 2015. "Lag Length Selection for Unit Root Tests in the Presence of Nonstationary Volatility," Econometric Reviews, Taylor & Francis Journals, vol. 34(4), pages 512-536, April.
    12. Dukpa Kim & Tatsushi Oka & Francisco Estrada & Pierre Perron, 2017. "Inference Related to Common Breaks in a Multivariate System with Joined Segmented Trends with Applications to Global and Hemispheric Temperatures," Boston University - Department of Economics - Working Papers Series WP2018-015, Boston University - Department of Economics, revised Apr 2018.
    13. Kreiter, Zebulun & Paul, Tapas Kumar, 2010. "Deficit Financing and Inflation in Bangladesh: A Vector Autoregressive Analysis," MPRA Paper 45981, University Library of Munich, Germany.
    14. Antonakakis, Nikolaos & Badinger, Harald, 2012. "Output Volatility, Economic Growth, and Cross-Country Spillovers: New Evidence for the G7 Countries," Department of Economics Working Paper Series 141, WU Vienna University of Economics and Business.
    15. Juraj Hucek & Alexander Karsay & Marian Vavra, 2015. "Short-term Forecasting of Real GDP Using Monthly Data," Working and Discussion Papers OP 1/2015, Research Department, National Bank of Slovakia.
    16. Konstantin Gluschenko, 2010. "Price convergence and market integration in Russia," William Davidson Institute Working Papers Series wp999, William Davidson Institute at the University of Michigan.
    17. Zhongjun Qu & Pierre Perron, 2006. "A Modified Information Criterion for Cointegration Tests based on a VAR Approximation," Boston University - Department of Economics - Working Papers Series WP2006-011, Boston University - Department of Economics.
    18. Barbier de la Serre, A. & Frappa, S. & Montorn s, J. & Murez, M., 2008. "La transmission des taux de march aux taux bancaires : une estimation sur donn es individuelles fran aises," Working papers 194, Banque de France.
    19. Gluschenko, Konstantin, 2018. "Market of the Novosibirsk Oblast in the System of Regional Markets," MPRA Paper 83649, University Library of Munich, Germany.
    20. Marian Vavra, 2013. "Testing for linear and Markov switching DSGE models," Working and Discussion Papers WP 3/2013, Research Department, National Bank of Slovakia.
    21. Gluschenko, Konstantin, 2017. "The Moscow market in the country’s economic space," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 48, pages 5-21.
    22. David Harris & Hsein Kew & A. M. Robert Taylor, 2020. "Level Shift Estimation in the Presence of Non-stationary Volatility with an Application to the Unit Root Testing Problem," Monash Econometrics and Business Statistics Working Papers 8/20, Monash University, Department of Econometrics and Business Statistics.
    23. Donovan, Geoffrey H. & Prestemon, Jeffrey P. & Butry, David T. & Kaminski, Abigail R. & Monleon, Vicente J., 2021. "The politics of urban trees: Tree planting is associated with gentrification in Portland, Oregon," Forest Policy and Economics, Elsevier, vol. 124(C).
    24. Gluschenko, Konstantin, 2021. "Regional inequality in Russia: Anatomy of convergence," MPRA Paper 108756, University Library of Munich, Germany.
    25. German-Soto, Vicente & Gluschenko, Konstantin, 2021. "Long-Run Cross-State Growth Comparison in Mexico," MPRA Paper 109015, University Library of Munich, Germany.
    26. Claus Brand & Hans-Eggert Reimers & Franz Seitz, 2003. "Narrow Money and the Business Cycle: Theoretical aspects and euro area evdence," Macroeconomics 0303012, University Library of Munich, Germany.
    27. Vicente German‐Soto & Konstantin Gluschenko, 2023. "Long‐term regional convergence in Mexico: A new look," Review of Development Economics, Wiley Blackwell, vol. 27(2), pages 963-991, May.
    28. Ricardo Quineche Uribe & Gabriel Rodríguez, 2015. "Data-Dependent Methods for the Lag Length Selection in Unit Root Tests with Structural Change," Documentos de Trabajo / Working Papers 2015-404, Departamento de Economía - Pontificia Universidad Católica del Perú.
    29. Balsalobre-Lorente, Daniel & Driha, Oana M. & Bekun, Festus & Sinha, Avik & Fatai Adedoyin, Festus, 2020. "Consequences of COVID-19 on the social isolation of the Chinese economy: accounting for the role of reduction in carbon emissions," MPRA Paper 102894, University Library of Munich, Germany, revised 2020.
    30. Heij, Christiaan & van Dijk, Dick & Groenen, Patrick J.F., 2008. "Macroeconomic forecasting with matched principal components," International Journal of Forecasting, Elsevier, vol. 24(1), pages 87-100.
    31. Ng, Serena, 2013. "Variable Selection in Predictive Regressions," Handbook of Economic Forecasting, in: G. Elliott & C. Granger & A. Timmermann (ed.), Handbook of Economic Forecasting, edition 1, volume 2, chapter 0, pages 752-789, Elsevier.
    32. Peter Sephton, 2008. "Critical values of the augmented fractional Dickey–Fuller test," Empirical Economics, Springer, vol. 35(3), pages 437-450, November.
    33. Diaz-Emparanza, Ignacio, 2014. "Numerical distribution functions for seasonal unit root tests," Computational Statistics & Data Analysis, Elsevier, vol. 76(C), pages 237-247.
    34. Zhang, Wanqing & Lin, Zi & Liu, Xiaolei, 2022. "Short-term offshore wind power forecasting - A hybrid model based on Discrete Wavelet Transform (DWT), Seasonal Autoregressive Integrated Moving Average (SARIMA), and deep-learning-based Long Short-Te," Renewable Energy, Elsevier, vol. 185(C), pages 611-628.
    35. Ricardo Quineche & Gabriel Rodríguez, 2017. "Selecting the Lag Length for the M GLS Unit Root Tests with Structural Change: A Warning Note for Practitioners Based on Simulations," Econometrics, MDPI, vol. 5(2), pages 1-10, April.
    36. Serena Ng & Pierre Perron, 1997. "Lag Length Selection and the Construction of Unit Root Tests with Good Size and Power," Boston College Working Papers in Economics 369, Boston College Department of Economics, revised 01 Sep 2000.
    37. Marian Vavra, 2012. "Robustness of Power Properties of Non-linearity Tests," Birkbeck Working Papers in Economics and Finance 1205, Birkbeck, Department of Economics, Mathematics & Statistics.
    38. Peter S. Sephton, 2022. "Finite Sample Lag Adjusted Critical Values of the ADF-GLS Test," Computational Economics, Springer;Society for Computational Economics, vol. 59(1), pages 177-183, January.
    39. Peter Sephton, 2009. "Critical values for the augmented efficient Wald test for fractional unit roots," Empirical Economics, Springer, vol. 37(3), pages 615-626, December.

  43. Jushan Bai & Serena Ng, 2001. "A New Look at Panel Testing of Stationarity and the PPP Hypothesis," Boston College Working Papers in Economics 518, Boston College Department of Economics.

    Cited by:

    1. Bertrand Candelon & Elena Ivona Dumitrescu & Christophe Hurlin, 2014. "Currency Crises Early Warning Systems: Why They Should Be Dynamic," Post-Print hal-01385975, HAL.
    2. Reichlin, Lucrezia, 2002. "Factor Models in Large Cross-Sections of Time Series," CEPR Discussion Papers 3285, C.E.P.R. Discussion Papers.
    3. Jerry Coakley & Ana-Maria Fuertes & Ron Smith, 2002. "A Principal Components Approach to Cross-Section Dependence in Panels," 10th International Conference on Panel Data, Berlin, July 5-6, 2002 B5-3, International Conferences on Panel Data.
    4. Jushan Bai; Josep Lluís Carrion-i-Silvestre, 2004. "Structural changes, common stochastic trends and unit roots in panel data," Econometric Society 2004 North American Summer Meetings 345, Econometric Society.
    5. Jorge Selaive C. & Valentín Délano T., 2006. "Sovereign Spreads: a Factorial Approach," Journal Economía Chilena (The Chilean Economy), Central Bank of Chile, vol. 9(1), pages 49-67, April.
    6. Jönsson, Kristian, 2004. "Testing for Stationarity in Panel Data Models when Disturbances are Cross-Sectionally Correlated," Working Papers 2004:17, Lund University, Department of Economics, revised 26 Nov 2004.
    7. Choi, Chi-Young, 2004. "Searching for evidence of long-run PPP from a post-Bretton Woods panel: separating the wheat from the chaff," Journal of International Money and Finance, Elsevier, vol. 23(7-8), pages 1159-1186.
    8. Simón Sosvilla-Rivero & Emma García, "undated". "Purchasing Power Parity Revisited," Working Papers 2003-20, FEDEA.

  44. Jushan Bai & Serena Ng, 2001. "Tests for Skewness, Kurtosis, and Normality for Time Series Data," Boston College Working Papers in Economics 501, Boston College Department of Economics.

    Cited by:

    1. Farooq Anwar & Dr. Julian Paul Sidin, 2016. "Interactive Effects of Social Support and Incivility on Affective Commitment in Banking Sector of Pakistan," International Journal of Business and Administrative Studies, Professor Dr. Bahaudin G. Mujtaba, vol. 2(6), pages 213-224.
    2. Javier Alejo & Antonio Galvao & Gabriel Montes-Rojas & Walter Sosa-Escudero, 2015. "Tests for normality in linear panel-data models," Stata Journal, StataCorp LLC, vol. 15(3), pages 822-832, September.
    3. Laurent Barras & Patrick Gagliardini & Olivier Scaillet, 2022. "Skill, Scale, and Value Creation in the Mutual Fund Industry," Journal of Finance, American Finance Association, vol. 77(1), pages 601-638, February.
    4. Angus Moore, 2016. "Measuring Economic Uncertainty and Its Effects," RBA Research Discussion Papers rdp2016-01, Reserve Bank of Australia.
    5. Merkl, Christian & Kohlbrecher, Britta, 2016. "Business Cycle Asymmetries and the Labor Market," VfS Annual Conference 2016 (Augsburg): Demographic Change 145704, Verein für Socialpolitik / German Economic Association.
    6. C. Vladimir Rodr'iguez-Caballero & Esther Ruiz, 2024. "Temperature in the Iberian Peninsula: Trend, seasonality, and heterogeneity," Papers 2406.14145, arXiv.org.
    7. Galbraith, John W. & van Norden, Simon, 2019. "Asymmetry in unemployment rate forecast errors," International Journal of Forecasting, Elsevier, vol. 35(4), pages 1613-1626.
    8. Michael Clements, 2016. "Are Macroeconomic Density Forecasts Informative?," ICMA Centre Discussion Papers in Finance icma-dp2016-02, Henley Business School, University of Reading.
    9. Görtz, Christoph & Yeromonahos, Mallory, 2022. "Asymmetries in risk premia, macroeconomic uncertainty and business cycles," Journal of Economic Dynamics and Control, Elsevier, vol. 137(C).
    10. Tomas Kliestik & Alena Novak Sedlackova & Martin Bugaj & Andrej Novak, 2022. "Stability of profits and earnings management in the transport sector of Visegrad countries," Oeconomia Copernicana, Institute of Economic Research, vol. 13(2), pages 475-509, June.
    11. HARA, Naoko & YAMAMOTO, Yohei, 2024. "Testing and Quantifying Economic Resilience," Discussion paper series HIAS-E-142, Hitotsubashi Institute for Advanced Study, Hitotsubashi University.
    12. Esfandiar Maasoumi & Jeffrey Racine, 2009. "A Robust Entropy-Based Test of Asymmetry for Discrete and Continuous Processes," Econometric Reviews, Taylor & Francis Journals, vol. 28(1-3), pages 246-261.
    13. Congressional Budget Office, 2022. "A Markov-Switching Model of the Unemployment Rate: Working Paper 2022-05," Working Papers 57582, Congressional Budget Office.
    14. 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.
    15. Nicholas Bloom & Fatih Guvenen & Sergio Salgado, 2016. "Skewed Business Cycles," 2016 Meeting Papers 1621, Society for Economic Dynamics.
    16. Tatevik Sekhposyan & Barbara Rossi, 2015. "Alternative Tests for Correct Specification of Conditional Predictive Densities," Working Papers 758, Barcelona School of Economics.
    17. Antonello D'Agostino & Domenico Giannone & Michele Lenza & Michele Modugno, 2015. "Nowcasting Business Cycles: a Bayesian Approach to Dynamic Heterogeneous Factor Models," Finance and Economics Discussion Series 2015-66, Board of Governors of the Federal Reserve System (U.S.).
    18. Verma Vivek & Nath Dilip C., 2019. "Characterization Of The Sum Of Binomial Random Variables Under Ranked Set Sampling," Statistics in Transition New Series, Statistics Poland, vol. 20(3), pages 1-29, September.
    19. Moeti Damane, 2022. "Investigating the determinants of commercial bank interest rate spreads in Lesotho: Evidence from autoregressive distributed lag (ARDL) and non‐linear ARDL approaches," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 27(4), pages 4256-4278, October.
    20. Andrea Carriero & Todd E. Clark & Massimiliano Marcellino, 2020. "Capturing Macroeconomic Tail Risks with Bayesian Vector Autoregressions," Working Papers 20-02R, Federal Reserve Bank of Cleveland, revised 22 Sep 2020.
    21. Delle Monache, Davide & De Polis, Andrea & Petrella, Ivan, 2021. "Modeling and forecasting macroeconomic downside risk," Temi di discussione (Economic working papers) 1324, Bank of Italy, Economic Research and International Relations Area.
    22. Manner, Hans & Rodríguez, Gabriel & Stöckler, Florian, 2024. "A changepoint analysis of exchange rate and commodity price risks for Latin American stock markets," International Review of Economics & Finance, Elsevier, vol. 89(PA), pages 1385-1403.
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    24. Syed Abul, Basher & Salem, Nechi & Hui, Zhu, 2014. "Dependence patterns across Gulf Arab stock markets: a copula approach," MPRA Paper 56566, University Library of Munich, Germany.
    25. Chacko George & Florian Kuhn, 2019. "Business Cycle Implications of Capacity Constraints under Demand Shocks," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 32, pages 94-121, April.
    26. Zacharias Psaradakis & Marián Vávra, 2017. "Normality Tests for Dependent Data: Large-Sample and Bootstrap Approaches," Birkbeck Working Papers in Economics and Finance 1706, Birkbeck, Department of Economics, Mathematics & Statistics.
    27. Peter Huber & Michael Pfaffermayr, 2007. "The Anatomy of the Firm Size Distribution: The Evolution of its Variance and Skewness," WIFO Working Papers 295, WIFO.
    28. Gregory Connor & Lisa R. Goldberg & Robert A. Korajczyk, 2010. "Portfolio Risk Analysis," Economics Books, Princeton University Press, edition 1, number 9224.
    29. Djoko Roespinoedji & Roeshartono Roespinoedji & Mohammed R.A. Siam & Mohd Farid Shamsudin, 2019. "An Empirical Study on Short Term and Long-term Consequences of Crude Oil on Economic Wellbeing of Indonesia by Applying Autoregressive Distributed Lag Model," International Journal of Energy Economics and Policy, Econjournals, vol. 9(5), pages 474-480.
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    31. Matteo Grigoletto & Francesco Lisi, 2011. "Practical implications of higher moments in risk management," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 20(4), pages 487-506, November.
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    34. Priesmeier, Christoph & Koester, Gerrit B., 2012. "Does Wagner's law ruin the sustainability of German public finances?," Discussion Papers 08/2012, Deutsche Bundesbank.
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    36. Domenico Ferraro & Giuseppe Fiori, 2018. "The Scarring Effect of Asymmetric Business Cycles," 2018 Meeting Papers 283, Society for Economic Dynamics.
    37. Tanya Araujo & João Dias & Samuel Eleutério & Francisco Louçã, 2012. "How Fama Went Wrong: Measures of Multivariate Kurtosis for the Identification of the Dynamics of a N-Dimensional Market," Working Papers Department of Economics 2012/21, ISEG - Lisbon School of Economics and Management, Department of Economics, Universidade de Lisboa.
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    39. Maxand, Simone, 2020. "Identification of independent structural shocks in the presence of multiple Gaussian components," Econometrics and Statistics, Elsevier, vol. 16(C), pages 55-68.
    40. João Leitão & João Capucho, 2021. "Institutional, Economic, and Socio-Economic Determinants of the Entrepreneurial Activity of Nations," Administrative Sciences, MDPI, vol. 11(1), pages 1-32, March.
    41. Mr. Julio Escolano & Vitor Gaspar, 2016. "Optimal Debt Policy Under Asymmetric Risk," IMF Working Papers 2016/178, International Monetary Fund.
    42. Soberón, Alexandra & Stute, Winfried, 2017. "Assessing skewness, kurtosis and normality in linear mixed models," Journal of Multivariate Analysis, Elsevier, vol. 161(C), pages 123-140.
    43. Piotr Bórawski & Marek Bartłomiej Bórawski & Andrzej Parzonko & Ludwik Wicki & Tomasz Rokicki & Aleksandra Perkowska & James William Dunn, 2021. "Development of Organic Milk Production in Poland on the Background of the EU," Agriculture, MDPI, vol. 11(4), pages 1-25, April.
    44. Pierre Perron & Yohei Yamamoto & Jing Zhou, 2020. "Testing jointly for structural changes in the error variance and coefficients of a linear regression model," Quantitative Economics, Econometric Society, vol. 11(3), pages 1019-1057, July.
    45. Thi Hong Van Hoang & Qasim Raza Syed, 2021. "Investor Sentiment and Volatility Prediction of Currencies and Commodities During the COVID-19 Pandemic," Asian Economics Letters, Asia-Pacific Applied Economics Association, vol. 1(4), pages 1-6.
    46. Thanasis Stengos & Ximing Wu, 2006. "Information-Theoretic Distribution Test with Application to Normality," University of Cyprus Working Papers in Economics 3-2006, University of Cyprus Department of Economics.
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    48. Richard Gerlach & Zudi Lu & Hai Huang, 2013. "Exponentially Smoothing the Skewed Laplace Distribution for Value‐at‐Risk Forecasting," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 32(6), pages 534-550, September.
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    50. El-Shagi, Makram & Knedlik, Tobias & von Schweinitz, Gregor, 2012. "Predicting Financial Crises: The (Statistical) Significance of the Signals Approach," IWH Discussion Papers 3/2012, Halle Institute for Economic Research (IWH).
    51. Aneta Bełdycka-Bórawska & Piotr Bórawski & Michał Borychowski & Rafał Wyszomierski & Marek Bartłomiej Bórawski & Tomasz Rokicki & Luiza Ochnio & Krzysztof Jankowski & Bartosz Mickiewicz & James W. Dun, 2021. "Development of Solid Biomass Production in Poland, Especially Pellet, in the Context of the World’s and the European Union’s Climate and Energy Policies," Energies, MDPI, vol. 14(12), pages 1-22, June.
    52. Andrea Bastianin, 2019. "Robust measures of skewness and kurtosis for macroeconomic and financial time series," Working Papers 408, University of Milano-Bicocca, Department of Economics, revised 06 May 2019.
    53. Dante Amengual & Xinyue Bei & Marine Carrasco & Enrique Sentana, 2023. "Score-type tests for normal mixtures," CIRANO Working Papers 2023s-02, CIRANO.
    54. Domenico Ferraro & Giuseppe Fiori, 2023. "Search Frictions, Labor Supply, and the Asymmetric Business Cycle," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 55(1), pages 5-42, February.
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    56. Niu, Cuizhen & Guo, Xu & Li, Yong & Zhu, Lixing, 2018. "Pairwise distance-based tests for conditional symmetry," Computational Statistics & Data Analysis, Elsevier, vol. 128(C), pages 145-162.
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    61. Pavol Durana & Katarina Valaskova & Darina Chlebikova & Vladislav Krastev & Irina Atanasova, 2020. "Heads and Tails of Earnings Management: Quantitative Analysis in Emerging Countries," Risks, MDPI, vol. 8(2), pages 1-21, June.
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    63. Steven Cook, 2009. "A re-examination of the stationarity of inflation," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 24(6), pages 1047-1053.
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  46. Arthur Lewbel & Serena Ng, 2000. "Demand Systems With Nonstationary Prices," Boston College Working Papers in Economics 441, Boston College Department of Economics, revised 07 Jun 2002.

    Cited by:

    1. Huffman, Wallace E., 2011. "Household Production and the Demand for Food and Other Inputs: U.S. Evidence," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 36(3), pages 1-23, December.
    2. Arthur Thomas & Olivier Massol & Benoît Sévi, 2020. "How are Day-Ahead Prices Informative for Predicting the Next Day’s Consumption of Natural Gas ?," Working Papers hal-03178474, HAL.
    3. Luca Pieroni & Donatella Lanari & Luca Salmasi, 2010. "Food Prices and Overweight Patterns in Italy," EERI Research Paper Series EERI_RP_2010_40, Economics and Econometrics Research Institute (EERI), Brussels.
    4. Barnett, William A. & Serletis, Apostolos, 2008. "Consumer preferences and demand systems," MPRA Paper 8413, University Library of Munich, Germany.
    5. Asai, Manabu & Caporin, Massimiliano & McAleer, Michael, 2015. "Forecasting Value-at-Risk using block structure multivariate stochastic volatility models," International Review of Economics & Finance, Elsevier, vol. 40(C), pages 40-50.
    6. Apostolos Serletis & Maksim Isakin, "undated". "Stochastic Volatility Demand Systems," Working Papers 2014-74, Department of Economics, University of Calgary, revised 29 Sep 2014.
    7. Chang, C-L. & Khamkaew, T. & McAleer, M.J., 2010. "Estimating Price Effects in an Almost Ideal Demand Model of Outbound Thai Tourism to East Asia," Econometric Institute Research Papers EI 2010-29, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    8. D. Aristei & Luca Pieroni, 2008. "Cointegration Rank Test and Long Run Specification: A Note on the Robustness of Structural Demand Systems," Working Papers 0809, Department of Accounting, Economics and Finance, Bristol Business School, University of the West of England, Bristol.
    9. Ogura, Manami, 2011. "Testing for structural break in Japanese demand system after the bubble era," Structural Change and Economic Dynamics, Elsevier, vol. 22(3), pages 277-286, September.
    10. William Barnett & Apostolos Serletis, 2009. "The Differential Approach to Demand Analysis and the Rotterdam Model," WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS 200902, University of Kansas, Department of Economics, revised Jan 2009.
    11. Nikolay Gospodinov & Ian Irvine, 2005. "A ‘long march’ perspective on tobacco use in Canada," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 38(2), pages 366-393, May.
    12. Andrea Saayman & Isabel Cortés-Jiménez, 2013. "Modelling Intercontinental Tourism Consumption in South Africa: A Systems-of-Equations Approach," South African Journal of Economics, Economic Society of South Africa, vol. 81(4), pages 538-560, December.
    13. Richard Blundell & Dennis Kristensen & Rosa Matzkin, 2011. "Bounding quantile demand functions using revealed preference inequalities," CeMMAP working papers CWP21/11, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    14. David Aristei & Luca Pieroni, 2005. "Estimating the Role of Government Expenditure in Long-run Consumption," Quaderni del Dipartimento di Economia, Finanza e Statistica 13/2005, Università di Perugia, Dipartimento Economia.
    15. Zheng, Xiaoyong & Zhen, Chen, 2008. "Healthy food, unhealthy food and obesity," Economics Letters, Elsevier, vol. 100(2), pages 300-303, August.
    16. Khiabani, Nasser & Hasani, Karim, 2010. "Technical and allocative inefficiencies and factor elasticities of substitution: An analysis of energy waste in Iran's manufacturing," Energy Economics, Elsevier, vol. 32(5), pages 1182-1190, September.
    17. Ignacio, Escañuela Romana, 2019. "The elasticities of passenger transport demand in the Northeast Corridor," Research in Transportation Economics, Elsevier, vol. 78(C).
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    20. Holt, Matthew T. & Goodwin, Barry K., 2009. "The Almost Ideal and Translog Demand Systems," MPRA Paper 15092, University Library of Munich, Germany.
    21. Andres Silva & Senarath Dharmasena, 2016. "Considering seasonal unit root in a demand system: an empirical approach," Empirical Economics, Springer, vol. 51(4), pages 1443-1463, December.
    22. Resende Filho, M A & Bressan, V G F & Braga, M J & Bressan, A A, 2011. "Sobre a Demanda Agregada por Carnes no Mercado Brasileiro [On the Demand for Meat in Brazil]," MPRA Paper 31818, University Library of Munich, Germany.
    23. Acharya, Rajesh H. & Sadath, Anver C., 2017. "Implications of energy subsidy reform in India," Energy Policy, Elsevier, vol. 102(C), pages 453-462.
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    25. Saayman, Andrea & Viljoen, Armand & Saayman, Melville, 2018. "Africa’s outbound tourism: An Almost Ideal Demand System perspective," Annals of Tourism Research, Elsevier, vol. 73(C), pages 141-158.
    26. Choi, Chi-Young & Hu, Ling & Ogaki, Masao, 2008. "Robust estimation for structural spurious regressions and a Hausman-type cointegration test," Journal of Econometrics, Elsevier, vol. 142(1), pages 327-351, January.
    27. Arthur Lewbel & Serena Ng, 2000. "Demand Systems With Nonstationary Prices," Boston College Working Papers in Economics 441, Boston College Department of Economics, revised 07 Jun 2002.
    28. Chi-Young Choi & Ling Hu & Masao Ogaki, 2005. "Structural Spurious Regressions and A Hausman-type Cointegration Test," RCER Working Papers 517, University of Rochester - Center for Economic Research (RCER).

  47. Ng, Serena & Vogelsang, Tim, 2000. "Forecasting Autoregressive Time Series in the Presence of Deterministic Components," Working Papers 00-07, Cornell University, Center for Analytic Economics.

    Cited by:

    1. HARA, Naoko & YAMAMOTO, Yohei, 2024. "Testing and Quantifying Economic Resilience," Discussion paper series HIAS-E-142, Hitotsubashi Institute for Advanced Study, Hitotsubashi University.
    2. Mohitosh Kejriwal & Xuewen Yu, 2019. "Generalized Forecasr Averaging in Autoregressions with a Near Unit Root," Purdue University Economics Working Papers 1318, Purdue University, Department of Economics.
    3. John L. Turner, 2004. "Local to unity, long-horizon forecasting thresholds for model selection in the AR(1)," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 23(7), pages 513-539.
    4. Falk, Barry & Roy, Anindya, 2005. "Forecasting using the trend model with autoregressive errors," International Journal of Forecasting, Elsevier, vol. 21(2), pages 291-302.
    5. Barry K. Goodwin & Matthew T. Holt & Jeffrey P. Prestemon, 2021. "Semi-parametric models of spatial market integration," Empirical Economics, Springer, vol. 61(5), pages 2335-2361, November.
    6. Mynbaev, Kairat, 2003. "Asymptotic properties of OLS estimates in autoregressions with bounded or slowly growing deterministic trends," MPRA Paper 18448, University Library of Munich, Germany, revised 2005.

  48. Donald Cox & Serena Ng & Andreas Waldkirch, 2000. "Intergenerational Linkages in Consumption Behavior," Boston College Working Papers in Economics 482, Boston College Department of Economics.

    Cited by:

    1. Ana I. Moro-Egido & Jordi Caballé, 2015. "The Effect of Aspirations, Habits, and Social Security on the Distribution of Wealth," Working Papers 352, Barcelona School of Economics.
    2. Dalton, Michael & LaFave, Daniel, 2017. "Mitigating the consequences of a health condition: The role of intra- and interhousehold assistance," Journal of Health Economics, Elsevier, vol. 53(C), pages 38-52.
    3. Cynamon Barry Z. & Fazzari Steven M., 2008. "Household Debt in the Consumer Age: Source of Growth--Risk of Collapse," Capitalism and Society, De Gruyter, vol. 3(2), pages 1-32, October.
    4. Andra C. Ghent & Marianna Kudlyak, 2015. "Intergenerational Linkages in Household Credit," Working Paper 15-14, Federal Reserve Bank of Richmond.
    5. Anna Sanz-de-Galdeano & Daniela Vuri & Maria Loureiro, 2015. "Smoking Habits: Like Father, Like Son, Like Mother, Like Daughter," Working Papers 402, Barcelona School of Economics.
    6. Raja Timilsina & Koji Kotani & Yoshinori Nakagawa & Tatsuyoshi Saijo Saijo, 2017. "Can deliberative democracy resolve intergenerational sustainability dilemma?," Working Papers SDES-2017-20, Kochi University of Technology, School of Economics and Management, revised Oct 2017.
    7. Andrés Romeu & M. Dolores Collado & Ignacio Ortuño Ortín, 2006. "Vertical Transmission Of Consumption Behavior And The Distribution Of Surnames," Working Papers. Serie AD 2006-09, Instituto Valenciano de Investigaciones Económicas, S.A. (Ivie).
    8. Artem Kuriksha, 2021. "An Economy of Neural Networks: Learning from Heterogeneous Experiences," Papers 2110.11582, arXiv.org.
    9. Jay Zagorsky, 2013. "Do People Save or Spend Their Inheritances? Understanding What Happens to Inherited Wealth," Journal of Family and Economic Issues, Springer, vol. 34(1), pages 64-76, March.
    10. Gabriella Berloffa & Eleonora Matteazzi & Paola Villa, 2016. "Family background and youth labour market outcomes across Europe," Working Papers 393, ECINEQ, Society for the Study of Economic Inequality.
    11. Bethencourt Carlos & Kunze Lars, 2019. "Like Father, Like Son: Inheriting and Bequeathing," German Economic Review, De Gruyter, vol. 20(2), pages 194-216, May.
    12. Yike Wang & Jingzhen Liu & Tak Kuen Siu, 2024. "Investment–consumption–insurance optimisation problem with multiple habit formation and non-exponential discounting," Finance and Stochastics, Springer, vol. 28(1), pages 161-214, January.
    13. Jaime Alonso‐Carrera & Stéphane Bouché, 2024. "Intergenerational Transmission of Preferences and the Operativeness of Bequest Motive," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 56(4), pages 899-932, June.
    14. Kerwin Kofi Charles & Erik Hurst, 2002. "The Correlation of Wealth Across Generations," NBER Working Papers 9314, National Bureau of Economic Research, Inc.
    15. Black, Sandra E. & Devereux, Paul J., 2011. "Recent Developments in Intergenerational Mobility," Handbook of Labor Economics, in: O. Ashenfelter & D. Card (ed.), Handbook of Labor Economics, edition 1, volume 4, chapter 16, pages 1487-1541, Elsevier.
    16. Effrosyni Adamopoulou & Elisabetta Olivieri & Eleftheria Triviza, 2023. "Eating Habits, Food Consumption, and Health: The Role of Early Life Experiences," CRC TR 224 Discussion Paper Series crctr224_2021_276v2, University of Bonn and University of Mannheim, Germany.
    17. Eshaghnia, Sadegh S. M. & Heckman, James J. & Landersø, Rasmus & Qureshi, Rafeh, 2022. "Intergenerational Transmission of Family Influence," IZA Discussion Papers 15504, Institute of Labor Economics (IZA).
    18. Jordi Caballé, 2016. "Intergenerational mobility: measurement and the role of borrowing constraints and inherited tastes," SERIEs: Journal of the Spanish Economic Association, Springer;Spanish Economic Association, vol. 7(4), pages 393-420, November.
    19. Anna Laura Mancini & Chiara Monfardini & Silvia Pasqua, 2017. "Is a good example the best sermon? Children’s imitation of parental reading," Review of Economics of the Household, Springer, vol. 15(3), pages 965-993, September.
    20. Anderberg, Dan, 2007. "Self-enforcing exchange among generations: Implications for consumption and mobility," European Economic Review, Elsevier, vol. 51(7), pages 1813-1827, October.
    21. Collado, M. Dolores & Ortuño Ortin, Ignacio & Romeu, Andrés, 2008. "Vertical Transmission of Consumption Behavior and the Distribution of Surnames," UMUFAE Economics Working Papers 2651, DIGITUM. Universidad de Murcia.
    22. Daniel Terry & Kaye Ervin & Erin Soutter & Renata Spiller & Nicole Dalle Nogare & Andrew John Hamilton, 2016. "Do Not “Let Them Eat Cake”: Correlation of Food-Consumption Patterns among Rural Primary School Children from Welfare and Non-Welfare Households," IJERPH, MDPI, vol. 14(1), pages 1-10, December.
    23. Robert Schoeni & Emily Wiemers, 2015. "The implications of selective attrition for estimates of intergenerational elasticity of family income," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 13(3), pages 351-372, September.
    24. Jürgen Maurer & André Meier, 2008. "Smooth it Like the ‘Joneses’? Estimating Peer‐Group Effects in Intertemporal Consumption Choice," Economic Journal, Royal Economic Society, vol. 118(527), pages 454-476, March.
    25. Damien Bricard & Florence Jusot, 2012. "Intergenerational transmission of health care habits in France," Post-Print hal-01593803, HAL.
    26. Benjamin Volland, 2013. "On the intergenerational transmission of preferences," Journal of Bioeconomics, Springer, vol. 15(3), pages 217-249, October.
    27. Trinh Le & Grant Scobie & John Gibson, 2009. "Are Kiwis saving enough for retirement? Evidence from SOFIE," New Zealand Economic Papers, Taylor & Francis Journals, vol. 43(1), pages 3-19.
    28. Sprenger, Julia, 2016. "Financial literacy: A barrier to seek financial advice but not a shield against following it," Ruhr Economic Papers 634, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    29. Yanjun Ren & Bente Castro Campos & Jens-Peter Loy, 2020. "Drink and smoke; drink or smoke? The interdependence between alcohol and cigarette consumption for men in China," Empirical Economics, Springer, vol. 58(3), pages 921-955, March.
    30. Wilhelm, Mark Ottoni & Brown, Eleanor & Rooney, Patrick M. & Steinberg, Richard, 2008. "The intergenerational transmission of generosity," Journal of Public Economics, Elsevier, vol. 92(10-11), pages 2146-2156, October.
    31. Agarwal, Sumit & Sing, Tien Foo & Zhang, Xiaoyu, 2024. "Intergenerational bankruptcy risks: Learning from parents’ mistakes," Journal of Financial Intermediation, Elsevier, vol. 59(C).
    32. Caballé, Jordi & Moro-Egido, Ana I., 2021. "Do aspirations reduce differences in wealth accumulation?," Economic Modelling, Elsevier, vol. 102(C).
    33. Ren, Yanjun & Zhang, Yanjie & Castro Campos, Bente & Loy, Jens-Peter, 2020. "Unhealthy consumption behaviors and their intergenerational persistence: The role of education," China Economic Review, Elsevier, vol. 62(C).
    34. Fan, Yi, 2020. "Does adversity affect long-term financial behaviour? Evidence from China’s rustication programme," Journal of Urban Economics, Elsevier, vol. 115(C).
    35. Hamish Low & Aruni Mitra & Giovanni Gallipoli, 2017. "Consumption and Income Persistence across Generations," 2017 Meeting Papers 1215, Society for Economic Dynamics.
    36. Guo, Sheng, 2010. "The superior measure of PSID consumption: An update," Economics Letters, Elsevier, vol. 108(3), pages 253-256, September.
    37. Ana I. Moro-Egido & Jordi Caballé, 2015. "On the Accumulation of Wealth under Aspirations," Working Papers 826, Barcelona School of Economics.
    38. Richard Blundell & Luigi Pistaferri & Ian Preston, 2004. "Imputing consumption in the PSID using food demand estimates from the CEX," IFS Working Papers W04/27, Institute for Fiscal Studies.
    39. Jürgen Maurer & André Meier, 2008. "Smooth it Like the “Joneses?†Estimating Peer-Group Effects in Intertemporal Consumption Choice," MEA discussion paper series 08167, Munich Center for the Economics of Aging (MEA) at the Max Planck Institute for Social Law and Social Policy.
    40. Bhashkar Mazumder, 2018. "Intergenerational Mobility in the United States: What We Have Learned from the PSID," The ANNALS of the American Academy of Political and Social Science, , vol. 680(1), pages 213-234, November.
    41. Liam C. Malloy, 2015. "Loss aversion, education, and intergenerational mobility," Education Economics, Taylor & Francis Journals, vol. 23(3), pages 318-337, June.
    42. Tomáš Želinský, 2021. "Intertemporal Choices of Children and Adults from Poor Roma Communities: A Case Study from Slovakia," Eastern European Economics, Taylor & Francis Journals, vol. 59(4), pages 378-405, July.
    43. Collado, M. Dolores & Ortuño-Ortín, Ignacio & Romeu, Andrés, 2012. "Intergenerational linkages in consumption patterns and the geographical distribution of surnames," Regional Science and Urban Economics, Elsevier, vol. 42(1-2), pages 341-350.
    44. Benjamin Volland, 2012. "The vertical transmission of time use choices," Papers on Economics and Evolution 2012-05, Philipps University Marburg, Department of Geography.
    45. Martin Binder, 2020. "(Home-)Schools of Democracy? On the Intergenerational Transmission of Civic Engagement," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 149(3), pages 911-945, June.
    46. Buchinsky, Moshe & Li, Fanghua & Liao, Zhipeng, 2022. "Estimation and inference of semiparametric models using data from several sources," Journal of Econometrics, Elsevier, vol. 226(1), pages 80-103.
    47. Elisabetta Magnani & Garima Verma & Anu Rammohan, 2012. "Intra-household Competition for Care: The Role of Bequest-regulating Social Norms," Working Papers 201206, ARC Centre of Excellence in Population Ageing Research (CEPAR), Australian School of Business, University of New South Wales.

  49. Robin L. Lumsdaine & Serena Ng, 1998. "Testing for ARCH in the Presence of a Possibly Misspecified Conditional Mean," Boston College Working Papers in Economics 370, Boston College Department of Economics.

    Cited by:

    1. Mohamed El Hedi Arouri & Shawkat Hammoudeh & Duc Khuong Nguyen & Amine Lahiani, 2013. "On the short- and long-run efficiency of energy and precious metal markets," Working Papers hal-00798036, HAL.
    2. Joanna Janczura & Andrzej Puć, 2023. "ARX-GARCH Probabilistic Price Forecasts for Diversification of Trade in Electricity Markets—Variance Stabilizing Transformation and Financial Risk-Minimizing Portfolio Allocation," Energies, MDPI, vol. 16(2), pages 1-28, January.
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    1. Ravi Jagannathan & Andrew Kaplin & Steve Guoqiang Sun, 2001. "An Evaluation of Multi-Factor CIR Models Using LIBOR, Swap Rates, and Cap and Swaption Prices," NBER Working Papers 8682, National Bureau of Economic Research, Inc.
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    6. Zongwu Cai & Jiazi Chen & Linlin Niu, 2021. "A Semiparametric Model for Bond Pricing with Life Cycle Fundamental," Working Papers 2021-01-06, Wang Yanan Institute for Studies in Economics (WISE), Xiamen University.
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    3. Óscar Bajo-Rubio & Carmen Díaz-Roldán & Vicente Esteve, "undated". "Us Deficit Sustainability Revisited: A Multiple Structural Change Approach," Working Papers 19-05 Classification-JEL , Instituto de Estudios Fiscales.
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    34. Shabir Mohsin Hashmi & Xuyou Yu & Qasim Raza Syed & Li Rong, 2024. "Testing the environmental Kuznets curve (EKC) hypothesis amidst climate policy uncertainty: sectoral analysis using the novel Fourier ARDL approach," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 26(7), pages 16503-16522, July.
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    44. da Silva, Cleomar Gomes & Leme, Maria Carolina da Silva, 2011. "An Analysis of the Degrees of Persistence of Inflation, Inflation Expectations and Real Interest Rate in Brazil," Revista Brasileira de Economia - RBE, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil), vol. 65(3), September.
    45. Njindan Iyke Bernard & Odhiambo Nicholas M., 2017. "Inflationary Thresholds, Financial Development and Economic Growth: New Evidence from Two West African Countries," Global Economy Journal, De Gruyter, vol. 17(2), pages 1-11, June.
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    1283. Mezgebo, Taddese, 2009. "A multivariate approach for identification of optimal locations with in Ethiopia’s wheat market to tackle soaring inflation on food price," MPRA Paper 18663, University Library of Munich, Germany.
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    1289. Allin Cottrell, 2021. "Response surfaces for DF-GLS p-values," gretl working papers 8, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.
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  53. Serena Ng & Timothy J. Vogelsang, 1997. "Analysis of Vector Autoregressions in the Presence of Shifts in Mean," Boston College Working Papers in Economics 379, Boston College Department of Economics.

    Cited by:

    1. Robin L. Lumsdaine & Serena Ng, 1998. "Testing for ARCH in the Presence of a Possibly Misspecified Conditional Mean," Boston College Working Papers in Economics 370, Boston College Department of Economics.
    2. Marcos Sanso-Navarro, 2011. "Broken trend stationarity of hours worked," Post-Print hal-00712742, HAL.
    3. Nazlioglu, Saban & Gormus, N. Alper & Soytas, Uğur, 2016. "Oil prices and real estate investment trusts (REITs): Gradual-shift causality and volatility transmission analysis," Energy Economics, Elsevier, vol. 60(C), pages 168-175.
    4. Alfredo M. Pereira & Martin B. Schmidt, 2007. "Structural Breaks in Public Infrastructure Investment in the U.S," Working Papers 55, Department of Economics, College of William and Mary.
    5. William W. Chow, 2004. "An outlier robust hierarchical Bayes model for forecasting: the case of Hong Kong," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 23(2), pages 99-114.
    6. PKG HARISCHANDRA & George CHOULIARAKIS, 2008. "Do Exchange Rate Regimes Matter for Inflation Persistence? Theory and Evidence from the History of UK and US Inflation," EcoMod2008 23800100, EcoMod.
    7. Mohsen Fardmanesh & Seymour Douglas, 2008. "Foreign Exchange Controls and the Parallel Market Premium," Review of Development Economics, Wiley Blackwell, vol. 12(1), pages 72-89, February.
    8. Ioanna Konstantakopoulou, 2017. "The aggregate exports-GDP relation under the prism of infrequent trend breaks and multi-horizon causality," International Economics and Economic Policy, Springer, vol. 14(4), pages 661-689, October.
    9. Thierno Balde & Gabriel Rodriguez, 2005. "Finite sample effects of additive outliers on the Granger-causality test with an application to money growth and inflation in Peru," Applied Economics Letters, Taylor & Francis Journals, vol. 12(13), pages 841-844.
    10. Salamaliki, Paraskevi K. & Venetis, Ioannis A., 2013. "Energy consumption and real GDP in G-7: Multi-horizon causality testing in the presence of capital stock," Energy Economics, Elsevier, vol. 39(C), pages 108-121.
    11. Nazlioglu, Saban & Gupta, Rangan & Bouri, Elie, 2020. "Movements in international bond markets: The role of oil prices," International Review of Economics & Finance, Elsevier, vol. 68(C), pages 47-58.
    12. Paraskevi K. Salamaliki, 2017. "Births, Marriages, and the Economic Environment in Greece: Empirical Evidence Over Time," Journal of Family and Economic Issues, Springer, vol. 38(2), pages 218-237, June.
    13. Demetrescu, Matei & Salish, Nazarii, 2024. "(Structural) VAR models with ignored changes in mean and volatility," International Journal of Forecasting, Elsevier, vol. 40(2), pages 840-854.
    14. Nazlioglu, Saban & Gupta, Rangan & Gormus, Alper & Soytas, Ugur, 2020. "Price and volatility linkages between international REITs and oil markets," Energy Economics, Elsevier, vol. 88(C).
    15. Marlene Wind & Dorte Sindbjerg Martinsen & Gabriel Pons Rotger, 2009. "The Uneven Legal Push for Europe," European Union Politics, , vol. 10(1), pages 63-88, March.
    16. Yang Fan & Teng Jianzhou, 2011. "Studying on the monetary transmission mechanism in China in the presence of structural changes," China Finance Review International, Emerald Group Publishing Limited, vol. 1(4), pages 334-357, September.

  54. Emanuela Cardia & Serena Ng, 1997. "How Important are Intergenerational Transfers of Time? A Macroeconomic Analysis," Boston College Working Papers in Economics 395, Boston College Department of Economics.

    Cited by:

    1. Jesús Fernández-Villaverde & Dirk Krueger, 2003. "Consumption over the Life Cycle: Some Facts from Consumer Expenditure Survey Data," Levine's Working Paper Archive 506439000000000304, David K. Levine.
    2. Yang, Fang, 2013. "Social security reform with impure intergenerational altruism," Journal of Economic Dynamics and Control, Elsevier, vol. 37(1), pages 52-67.
    3. Fang Yang, 2005. "Consumption Along the Life Cycle: How Different is Housing?," 2005 Meeting Papers 718, Society for Economic Dynamics.
    4. Fang (Annie) Yang, 2006. "Consumption Over Life Cycle: How Different is Housing?," Discussion Papers 06-01, University at Albany, SUNY, Department of Economics.
    5. Fang Yang, 2006. "Accounting for the Heterogeneity in Retirement Wealth," 2006 Meeting Papers 94, Society for Economic Dynamics.
    6. Jesus Fernández-Villaverde & Dirk Krueger, 2007. "Consumption over the Life Cycle: Facts from Consumer Expenditure Survey Data," The Review of Economics and Statistics, MIT Press, vol. 89(3), pages 552-565, August.

  55. Alexander Michaelides & Serena Ng, 1997. "Estimating the Rational Expectations Model of Speculative Storage: A Monte Carlo Comparison of Three Simulation Estimators," Boston College Working Papers in Economics 373, Boston College Department of Economics.

    Cited by:

    1. Gallant, A. Ronald & Tauchen, George, 2002. "Simulated Score Methods and Indirect Inference for Continuous-time Models," Working Papers 02-09, Duke University, Department of Economics.
    2. Yicheng Wang, 2016. "Online Appendix to "Debt-Market Friction, Firm-specific Knowledge Capital Accumulation and Macroeconomic Implications"," Online Appendices 16-19, Review of Economic Dynamics.
    3. Jean-Jacques Forneron & Serena Ng, 2015. "The ABC of Simulation Estimation with Auxiliary Statistics," Papers 1501.01265, arXiv.org, revised Oct 2017.
    4. Michael Haliassos, 2002. "Stockholding: Recent Lessons from Theory and Computations," University of Cyprus Working Papers in Economics 0206, University of Cyprus Department of Economics.
    5. Taştan, Hüseyin, 2011. "Simulation based estimation of threshold moving average models with contemporaneous shock asymmetry," MPRA Paper 34302, University Library of Munich, Germany.
    6. Arvanitis Stelios & Demos Antonis, 2018. "On the Validity of Edgeworth Expansions and Moment Approximations for Three Indirect Inference Estimators," Journal of Econometric Methods, De Gruyter, vol. 7(1), pages 1-38, January.
    7. Hirbod Assa & Amal Dabbous & Nikolay Gospodinov, 2013. "A staggered pricing approach to modeling speculative storage: implications for commodity price dynamics," FRB Atlanta Working Paper 2013-08, Federal Reserve Bank of Atlanta.
    8. Peter Fuleky & Eric Zivot, 2010. "Indirect Inference Based on the Score," Working Papers UWEC-2010-08, University of Washington, Department of Economics.
    9. Stephen Terry & Anastasia Zakolyukina & Toni Whited, 2018. "Information Distortion, R&D, and Growth," 2018 Meeting Papers 217, Society for Economic Dynamics.
    10. Stephen J. Terry & Toni M. Whited & Anastasia A. Zakolyukina, 2022. "Information versus Investment," NBER Working Papers 29636, National Bureau of Economic Research, Inc.
    11. Nicolas Legrand, 2023. "“The empirical relevance of the competitive storage model” by Cafiero et al. (2011): Replication, robustness, and extension," Post-Print hal-03809789, HAL.
    12. Collard, Fabrice & Fève, Patrick & Langot, François & Perraudin, Corinne, 1999. "A structural model for US aggregate job flows," CEPREMAP Working Papers (Couverture Orange) 9910, CEPREMAP.
    13. Guerra Vallejos, Ernesto & Bobenrieth Hochfarber, Eugenio & Bobenrieth Hochfarber, Juan & Wright, Brian D., 2021. "Solving dynamic stochastic models with multiple occasionally binding constraints," Economic Modelling, Elsevier, vol. 105(C).
    14. Christophe C. Gouel, 2012. "Agricultural price instability: a survey of competing explanations and remedies," Post-Print hal-01001218, HAL.
    15. Peterson, Hikaru Hanawa & Tomek, William G., 2003. "How Much Of Commodity Price Behavior Can A Rational Expectations Storage Model Explain?," Staff Papers 30712, Kansas State University, Department of Agricultural Economics.
    16. Panos Hatzipanayotou & Sajal Lahiri & Michael S. Michael, 2002. "Reforms of Environmental Policies in the Presence of Cross-border Pollution and Two-stage Clean-up," CESifo Working Paper Series 638, CESifo.
    17. Antti Simola & Adriaan Perrels & Juha Honkatukia, 2011. "Extreme weather events in Finland – a dynamic CGE-analysis of economic effects," EcoMod2011 2983, EcoMod.
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    19. Li, Di & Taylor, Lucian A. & Wang, Wenyu, 2018. "Inefficiencies and externalities from opportunistic acquirers," Journal of Financial Economics, Elsevier, vol. 130(2), pages 265-290.
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    1. Movshuk, Oleksandr, 2003. "Does the choice of detrending method matter in demand analysis?," Japan and the World Economy, Elsevier, vol. 15(3), pages 341-359, August.
    2. Luca Pieroni, 2007. "How Strong is the Relationship between Defence Expenditure and Private Consumption? Evidence from the United States," Working Papers 0705, Department of Accounting, Economics and Finance, Bristol Business School, University of the West of England, Bristol.

  57. Angus Deaton & Serena Ng, 1997. "Parametric and non-parametric approaches to price and tax reform," Boston College Working Papers in Economics 376, Boston College Department of Economics.

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    1. Nakar Djindil Syntiche & Tabo Symphorien Ndang & Toinar Mogota Anatole, 2007. "A qui profitent les dépenses sociales au Tchad? Une analyse d'incidence à partir des données d'enquête," Working Papers PMMA 2007-11, PEP-PMMA.
    2. Ben Hammouda, Hakim & Oulmane, Nassim & Sadni-Jallab, Mustapha, 2006. "The Impact of the Multifiber Agreement Phase out on trade in North African Countries: a Prospective Analysis ," Conference papers 331520, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.
    3. Maura P. Doyle, 1997. "The effects of interest rates and taxes on new car prices," Finance and Economics Discussion Series 1997-38, Board of Governors of the Federal Reserve System (U.S.).

  58. Serena Ng & Francisco Ruge-Murcia, 1997. "Explaining the Persistence of Commodity Prices," Boston College Working Papers in Economics 374, Boston College Department of Economics.

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    1. Luca Pieroni & Matteo Ricciarelli, 2005. "Modelling Dynamic Storage Function in Commodity Markets:Theory and Evidence," Quaderni del Dipartimento di Economia, Finanza e Statistica 11/2005, Università di Perugia, Dipartimento Economia.
    2. David M Arseneau & Sylvain Leduc, 2013. "Commodity Price Movements in a General Equilibrium Model of Storage," IMF Economic Review, Palgrave Macmillan;International Monetary Fund, vol. 61(1), pages 199-224, April.
    3. Vivian, Andrew & Wohar, Mark E., 2012. "Commodity volatility breaks," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 22(2), pages 395-422.
    4. Kazuo Nishimura & John Stachurski, 2007. "Equilibrium Storage With Multiple Commodities," CAMA Working Papers 2007-11, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    5. Hirbod Assa & Amal Dabbous & Nikolay Gospodinov, 2013. "A staggered pricing approach to modeling speculative storage: implications for commodity price dynamics," FRB Atlanta Working Paper 2013-08, Federal Reserve Bank of Atlanta.
    6. Sklavos, Konstantinos & Dam, Lammertjan & Scholtens, Bert, 2013. "The liquidity of energy stocks," Energy Economics, Elsevier, vol. 38(C), pages 168-175.
    7. Christophe C. Gouel, 2012. "Agricultural price instability: a survey of competing explanations and remedies," Post-Print hal-01001218, HAL.
    8. Chavas, Jean-Paul & Li, Jian, 2017. "The Effects of Private Stocks versus Public Stocks on Food Price Volatility," 2017 Annual Meeting, July 30-August 1, Chicago, Illinois 259185, Agricultural and Applied Economics Association.
    9. Christophe Gouel, 2020. "The Value of Public Information in Storable Commodity Markets: Application to the Soybean Market," American Journal of Agricultural Economics, John Wiley & Sons, vol. 102(3), pages 846-865, May.
    10. Moledina, Amyaz A. & Roe, Terry L. & Shane, Mathew, 2004. "Measuring Commodity Price Volatility And The Welfare Consequences Of Eliminating Volatility," 2004 Annual meeting, August 1-4, Denver, CO 19963, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    11. Eyal Dvir & Kenneth S. Rogoff, 2009. "Three Epochs of Oil," NBER Working Papers 14927, National Bureau of Economic Research, Inc.
    12. Nzuma, Jonathan M. & Karugia, T.J. & Wanjiku, J. & Wambua, J. & Kirui, Oliver K., 2013. "Staple Food Price Volatility and Its Policy Implications in Kenya," 2013 Fourth International Conference, September 22-25, 2013, Hammamet, Tunisia 161525, African Association of Agricultural Economists (AAAE).
    13. Nader Karimi & Erfan Salavati & Hirbod Assa & Hojatollah Adibi, 2023. "Sensitivity Analysis of Optimal Commodity Decision Making with Neural Networks: A Case for COVID-19," Mathematics, MDPI, vol. 11(5), pages 1-15, February.
    14. Connor Jeff & Rossiter Rosemary, 2005. "Wavelet Transforms and Commodity Prices," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 9(1), pages 1-22, March.
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    17. Nicolas Legrand, 2019. "The Empirical Merit Of Structural Explanations Of Commodity Price Volatility: Review And Perspectives," Journal of Economic Surveys, Wiley Blackwell, vol. 33(2), pages 639-664, April.
    18. Boschi, Melisso & Pieroni, Luca, 2009. "Aluminium market and the macroeconomy," Journal of Policy Modeling, Elsevier, vol. 31(2), pages 189-207.
    19. Tore S. Kleppe & Atle Oglend, 2019. "Can limits‐to‐arbitrage from bounded storage improve commodity term‐structure modeling?," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 39(7), pages 865-889, July.
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    21. Kindie Getnet & Wim Verbeke & Jacques Viaene, 2005. "Modeling spatial price transmission in the grain markets of Ethiopia with an application of ARDL approach to white teff," Agricultural Economics, International Association of Agricultural Economists, vol. 33(s3), pages 491-502, November.
    22. Power, Gabriel J. & Turvey, Calum G., 2008. "On Term Structure Models of Commodity Futures Prices and the Kaldor-Working Hypothesis," 2008 Conference, April 21-22, 2008, St. Louis, Missouri 37608, NCCC-134 Conference on Applied Commodity Price Analysis, Forecasting, and Market Risk Management.
    23. Ashima Goyal & Shruti Tripathi, 2012. "Regulations and price discovery: oil spot and futures markets," Indira Gandhi Institute of Development Research, Mumbai Working Papers 2012-016, Indira Gandhi Institute of Development Research, Mumbai, India.
    24. Kleppe, Tore Selland & Oglend, Atle, 2017. "Estimating the competitive storage model: A simulated likelihood approach," Econometrics and Statistics, Elsevier, vol. 4(C), pages 39-56.
    25. Nader Karimi & Hirbod Assa & Erfan Salavati & Hojatollah Adibi, 2023. "Calibration of Storage Model by Multi-Stage Statistical and Machine Learning Methods," Computational Economics, Springer;Society for Computational Economics, vol. 62(4), pages 1437-1455, December.

  59. Eric Ghysels & Serena Ng, 1996. "A Semi-Parametric Factor Model for Interest Rates," CIRANO Working Papers 96s-18, CIRANO.

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    1. Amigues, Jean-Pierre & Favard, Pascal & Gaudet, Gerard & Moreaux, Michel, 1998. "On the Optimal Order of Natural Resource Use When the Capacity of the Inexhaustible Substitute Is Limited," Journal of Economic Theory, Elsevier, vol. 80(1), pages 153-170, May.
    2. Jushan Bai & Serena Ng, 2000. "Determining the Number of Factors in Approximate Factor Models," Econometric Society World Congress 2000 Contributed Papers 1504, Econometric Society.
    3. Eric Ghysels & Valentin Patilea & Eric Renault & Olivier Torrès, 1997. "Nonparametric Methods and Option Pricing," CIRANO Working Papers 97s-19, CIRANO.
    4. Touhami, A. & Martens, A., 1996. "Macroemesures in Computable General Equilibrium Models: a Probabilistic Treatment with an Application to Morocco," Cahiers de recherche 9621, Universite de Montreal, Departement de sciences economiques.

  60. Ng, Serena, 1996. "A systematic framework for analyzing the dynamic effects of permanent and transitory shocks," DES - Working Papers. Statistics and Econometrics. WS 6203, Universidad Carlos III de Madrid. Departamento de Estadística.

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    1. Adrian Pagan & M. Hashem Pesaran, 2007. "On Econometric Analysis of Structural Systems with Permanent and Transitory Shocks and Exogenous Variables," CESifo Working Paper Series 1924, CESifo.
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    3. Hugo Oliveros & Carlos Huertas, 2002. "Desequilibrios Nominales y Reales del Tipo de Cambio en Colombia," Borradores de Economia 220, Banco de la Republica de Colombia.
    4. Scherrer, Cristina Mabel, 2021. "Information processing on equity prices and exchange rate for cross-listed stocks," Journal of Financial Markets, Elsevier, vol. 54(C).
    5. Ben Fung & Marcel Kasumovich, 1997. "Monetary Shocks in the G-6 Countries: Is There a Puzzle?," Staff Working Papers 97-7, Bank of Canada.
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    8. Stan Hurn & Ralf Becker, 2007. "Testing for nonlinearity in mean in the presence of heteroskedasticity. Working paper #8," NCER Working Paper Series 8, National Centre for Econometric Research.
    9. Martin Lettau & Sydney C. Ludvigson, 2014. "Shocks and Crashes," NBER Macroeconomics Annual, University of Chicago Press, vol. 28(1), pages 293-354.
    10. Fisher, Lance A. & Otto, Glenn & Voss, Graham M., 2010. "The response of Australian consumption to housing wealth," Journal of Macroeconomics, Elsevier, vol. 32(1), pages 284-299, March.
    11. Scherrer, Cristina Mabel & Fernandes, Marcelo, 2017. "Disentangling the effect of private and public cash flows on firm value," Textos para discussão 443, FGV EESP - Escola de Economia de São Paulo, Fundação Getulio Vargas (Brazil).
    12. Antonio Ribba, 2009. "On Some Neglected Implications of the Fisher Effect," Center for Economic Research (RECent) 033, University of Modena and Reggio E., Dept. of Economics "Marco Biagi".
    13. Chen, Jie, 2006. "Housing Wealth and Aggregate Consumption in Sweden," Working Paper Series 2006:16, Uppsala University, Department of Economics.
    14. Seema Narayan & Russell Smyth, 2015. "The Financial Econometrics of Price Discovery and Predictability," Monash Economics Working Papers 06-15, Monash University, Department of Economics.
    15. Maximo Camacho, 2002. "Nonlinear stochastic trends and economic fluctuations," Computing in Economics and Finance 2002 274, Society for Computational Economics.
    16. Gustavo Fruet Dias & Marcelo Fernandes & Cristina M. Scherrer, 2016. "Component shares in continuous time," CREATES Research Papers 2016-25, Department of Economics and Business Economics, Aarhus University.
    17. Daniela Osterrieder, 2013. "Interest Rates with Long Memory: A Generalized Affine Term-Structure Model," CREATES Research Papers 2013-17, Department of Economics and Business Economics, Aarhus University.
    18. Weber, Enzo, 2006. "Common and uncommon sources of growth in Asia Pacific," SFB 649 Discussion Papers 2006-064, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk.
    19. Martin Lettau & Sydney C. Ludvigson, 2004. "Understanding Trend and Cycle in Asset Values: Reevaluating the Wealth Effect on Consumption," American Economic Review, American Economic Association, vol. 94(1), pages 276-299, March.
    20. Giancarlo Corsetti & Panagiotis T. Konstantinou, 2012. "What Drives US Foreign Borrowing? Evidence on the External Adjustment to Transitory and Permanent Shocks," American Economic Review, American Economic Association, vol. 102(2), pages 1062-1092, April.
    21. Nitschka, Thomas, 2006. "The U.S. consumption-wealth ratio and foreign stock markets: International evidence for return predictability," Technical Reports 2006,11, Technische Universität Dortmund, Sonderforschungsbereich 475: Komplexitätsreduktion in multivariaten Datenstrukturen.
    22. Holtemöller, Oliver, 2002. "Further VAR evidence for the effectiveness of a credit channel in Germany," SFB 373 Discussion Papers 2002,66, Humboldt University of Berlin, Interdisciplinary Research Project 373: Quantification and Simulation of Economic Processes.
    23. Guglielmo Maria Caporale & Alessandro Girardi, 2011. "Price Discovery and Trade Fragmentation in a Multi-Market Environment: Evidence from the MTS System," Discussion Papers of DIW Berlin 1139, DIW Berlin, German Institute for Economic Research.
    24. Scherrer, Cristina Mabel, 2021. "Information processing on equity prices and exchange rate for cross-listed stocks," LSE Research Online Documents on Economics 125649, London School of Economics and Political Science, LSE Library.
    25. Yan, Bingcheng & Zivot, Eric, 2010. "A structural analysis of price discovery measures," Journal of Financial Markets, Elsevier, vol. 13(1), pages 1-19, February.
    26. Amigues, Jean-Pierre & Favard, Pascal & Gaudet, Gerard & Moreaux, Michel, 1998. "On the Optimal Order of Natural Resource Use When the Capacity of the Inexhaustible Substitute Is Limited," Journal of Economic Theory, Elsevier, vol. 80(1), pages 153-170, May.
    27. Jie Chen & Feng Guo & Aiyong Zhu, 2009. "Housing Wealth, Financial Wealth and Consumption in China," China & World Economy, Institute of World Economics and Politics, Chinese Academy of Social Sciences, vol. 17(3), pages 57-74, May.
    28. Myers, Robert J. & Johnson, Stanley R. & Helmar, Michael & Baumes, Harry, 2018. "Long-run and short-run relationships between oil prices, producer prices, and consumer prices: What can we learn from a permanent-transitory decomposition?," The Quarterly Review of Economics and Finance, Elsevier, vol. 67(C), pages 175-190.
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    30. Hyeon-Seung Huh & David Kim, 2014. "Do SVAR Models Justify Discarding the Technology-Shock-Driven Real Business Cycle Hypothesis?," The Economic Record, The Economic Society of Australia, vol. 90(288), pages 98-118, March.
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    32. Haroon Mumtaz & Konstantinos Theodoridis, 2017. "The Federal Reserve’s implicit inflation target and Macroeconomic dynamics. A SVAR analysis," Working Papers 820, Queen Mary University of London, School of Economics and Finance.
    33. Dison, Will & Theodoridis, Konstantinos, 2017. "Do macro shocks matter for equities?," Bank of England working papers 692, Bank of England.
    34. Frank Schmid, 2013. "Wealth Effects on Consumption in Switzerland," Swiss Journal of Economics and Statistics (SJES), Swiss Society of Economics and Statistics (SSES), vol. 149(I), pages 87-110, March.
    35. Chang, Shu-Lien & Lee, Yun-Huan, 2019. "Returns spillovers between tourism ETFs," The North American Journal of Economics and Finance, Elsevier, vol. 50(C).
    36. Mario J. Crucini & Mototsugu Shintani, 2011. "Measuring International Business Cycles by Saving for a Rainy Day," IMES Discussion Paper Series 11-E-14, Institute for Monetary and Economic Studies, Bank of Japan.
    37. Cristina M. Scherrer, 2014. "Cross listing: price discovery dynamics and exchange rate effects," CREATES Research Papers 2014-53, Department of Economics and Business Economics, Aarhus University.
    38. N. Kundan Kishor & Hardik A. Marfatia, 2017. "The Dynamic Relationship Between Housing Prices and the Macroeconomy: Evidence from OECD Countries," The Journal of Real Estate Finance and Economics, Springer, vol. 54(2), pages 237-268, February.
    39. Dobromił Serwa & Piotr Wdowiński, 2017. "Modeling Macro-Financial Linkages: Combined Impulse Response Functions in SVAR Models," Central European Journal of Economic Modelling and Econometrics, Central European Journal of Economic Modelling and Econometrics, vol. 9(4), pages 323-357, December.
    40. Simon Price & Andrew Blake, 2004. "Consumers' expenditure, durables and dynamics: the UK consumption ECM redux," Money Macro and Finance (MMF) Research Group Conference 2003 75, Money Macro and Finance Research Group.
    41. Yang, Zan & Wang, S.T., 2012. "Permanent and transitory shocks in owner-occupied housing: A common trend model of price dynamics," Journal of Housing Economics, Elsevier, vol. 21(4), pages 336-346.
    42. Justyna Wr'oblewska & {L}ukasz Kwiatkowski, 2024. "Identification of structural shocks in Bayesian VEC models with two-state Markov-switching heteroskedasticity," Papers 2406.03053, arXiv.org, revised Jun 2024.
    43. Gang-Jin Wang & Hui-Bin Si & Yang-Yang Chen & Chi Xie & Julien Chevallier, 2021. "Time domain and frequency domain Granger causality networks: Application to China’s financial institutions," Post-Print halshs-04250263, HAL.
    44. Romain Menier & Guillaume Bagnarosa & Alexandre Gohin, 2024. "On the dependence structure of European vegetable oil markets," Post-Print hal-04523660, HAL.
    45. Alain W. HECQ, 2005. "Common Trends and Common Cycles in Latin America: A 2-step vs an Iterative Approach," Computing in Economics and Finance 2005 258, Society for Computational Economics.
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    47. Gonzalo, J. & Ng, S., 1996. "A Systematic Framework for Analyzing the Dynamic Effects of Permanent and Transitory Shocks," Cahiers de recherche 9603, Universite de Montreal, Departement de sciences economiques.
    48. Giulio Cifarelli & Giovanna Paladino, 2007. "The buffer stock model redux? An analysis of the dynamics of foreign reserve accumulation," Working Papers - Economics wp2007_02.rdf, Universita' degli Studi di Firenze, Dipartimento di Scienze per l'Economia e l'Impresa.
    49. Dias, Gustavo Fruet & Fernandes, Marcelo & Scherrer, Cristina Mabel, 2017. "Improving on daily measures of price discovery," Textos para discussão 444, FGV EESP - Escola de Economia de São Paulo, Fundação Getulio Vargas (Brazil).
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    97. Mensi, Walid & Al-Yahyaee, Khamis Hamed & Wanas Al-Jarrah, Idries Mohammad & Vo, Xuan Vinh & Kang, Sang Hoon, 2021. "Does volatility connectedness across major cryptocurrencies behave the same at different frequencies? A portfolio risk analysis," International Review of Economics & Finance, Elsevier, vol. 76(C), pages 96-113.
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    Cited by:

    1. Pierre Perron & Gabriel Rodriguez, 2012. "Residual test for cointegration with GLS detrended data," Documentos de Trabajo / Working Papers 2012-327, Departamento de Economía - Pontificia Universidad Católica del Perú.
    2. Hadri, Kaddour & Kurozumi, Eiji, 2012. "A simple panel stationarity test in the presence of serial correlation and a common factor," Economics Letters, Elsevier, vol. 115(1), pages 31-34.
    3. Thilo Reinschlussel & Martin C. Arnold, 2024. "Information-Enriched Selection of Stationary and Non-Stationary Autoregressions using the Adaptive Lasso," Papers 2402.16580, arXiv.org, revised Jul 2024.
    4. Niels Haldrup & Peter Lildholdt, "undated". "Local Power Functions of Tests for Double Unit Roots," Economics Working Papers 2000-2, Department of Economics and Business Economics, Aarhus University.
    5. Sabate, Marcela & Gadea, Maria Dolores & Escario, Regina, 2006. "Does fiscal policy influence monetary policy? The case of Spain, 1874-1935," Explorations in Economic History, Elsevier, vol. 43(2), pages 309-331, April.
    6. Gabriel, Vasco J., 2003. "Cointegration and the joint confirmation hypothesis," Economics Letters, Elsevier, vol. 78(1), pages 17-25, January.
    7. Amigues, Jean-Pierre & Favard, Pascal & Gaudet, Gerard & Moreaux, Michel, 1998. "On the Optimal Order of Natural Resource Use When the Capacity of the Inexhaustible Substitute Is Limited," Journal of Economic Theory, Elsevier, vol. 80(1), pages 153-170, May.
    8. Kuo, Biing-Shen, 1998. "Test for partial parameter instability in regressions with I(1) processes," Journal of Econometrics, Elsevier, vol. 86(2), pages 337-368, June.
    9. Umit BULUT, 2015. "The Interest Rate Corridor as a Macroprudential Tool to Mitigate Rapid Growth in Credits: Evidence from Turkey," Theoretical and Applied Economics, Asociatia Generala a Economistilor din Romania / Editura Economica, vol. 0(4(605), W), pages 133-144, Winter.
    10. Dionisio Ramirez & Gabriel Rodríguez, 2013. "Do Labor Reforms in Spain have an Effect on the Equilibrium Unemployment Rate?," Documentos de Trabajo / Working Papers 2013-367, Departamento de Economía - Pontificia Universidad Católica del Perú.
    11. Peter C. B. Phillips & Zhijie Xiao, 1998. "A Primer on Unit Root Testing," Journal of Economic Surveys, Wiley Blackwell, vol. 12(5), pages 423-470, December.
    12. Paulo Manuel Marques Rodrigues, 2013. "On the Behaviour of Phillips-Perron Tests in the Presence of Persistent Cycles," CEFAGE-UE Working Papers 2013_11, University of Evora, CEFAGE-UE (Portugal).
    13. Haldrup, Niels Prof. & Lildholdt, Peter, 2000. "Local Power Functions of Tests for Double Unit Roots," University of California at San Diego, Economics Working Paper Series qt01j3m1h6, Department of Economics, UC San Diego.
    14. Herrerias, M.J. & Liu, G., 2013. "Electricity intensity across Chinese provinces: New evidence on convergence and threshold effects," Energy Economics, Elsevier, vol. 36(C), pages 268-276.
    15. Kuo, Biing-Shen & Mikkola, Anne, 1999. "Re-examining long-run purchasing power parity," Journal of International Money and Finance, Elsevier, vol. 18(2), pages 251-266, February.
    16. Campêlo, Ana Katarina & Cribari-Neto, Francisco, 2003. "Inflation Inertia and Inliers: The Case of Brazil," Revista Brasileira de Economia - RBE, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil), vol. 57(4), October.
    17. Serena Ng & Pierre Perron, 2002. "PPP May not Hold Afterall: A Further Investigation," CEMA Working Papers 83, China Economics and Management Academy, Central University of Finance and Economics.
    18. Jushan Bai & Serena Ng, 2001. "A New Look at Panel Testing of Stationarity and the PPP Hypothesis," Economics Working Paper Archive 467, The Johns Hopkins University,Department of Economics.
    19. Herwartz, Helmut & Siedenburg, Florian, 2009. "A new approach to unit root testing," Economics Working Papers 2009-06, Christian-Albrechts-University of Kiel, Department of Economics.
    20. Sánchez, Ismael, 2000. "Spectral density estimators at frequency zero for nonstationarity tests in arma models," DES - Working Papers. Statistics and Econometrics. WS 10132, Universidad Carlos III de Madrid. Departamento de Estadística.
    21. Rodriguez, Gabriel & Sloboda, Michael J., 2005. "Modeling nonlinearities and asymmetries in quarterly revenues of the US telecommunications industry," Structural Change and Economic Dynamics, Elsevier, vol. 16(1), pages 137-158, March.
    22. Malik, Muhammad Irfan & Rehman, Atiq-ur-, 2014. "Choice of Spectral Density Estimator in Ng-Perron Test: Comparative Analysis," MPRA Paper 59973, University Library of Munich, Germany.
    23. Touhami, A. & Martens, A., 1996. "Macroemesures in Computable General Equilibrium Models: a Probabilistic Treatment with an Application to Morocco," Cahiers de recherche 9621, Universite de Montreal, Departement de sciences economiques.
    24. Pierre Perron & Gabriel Rodríguez, "undated". "Residuals-based Tests for Cointegration with GLS Detrended Data," Boston University - Department of Economics - Working Papers Series wp2015-017, Boston University - Department of Economics, revised 19 Oct 2015.
    25. Helmut Herwartz & Florian Siedenburg, 2010. "A New Approach to Unit Root Testing," Computational Economics, Springer;Society for Computational Economics, vol. 36(4), pages 365-384, December.
    26. Rafik Nazarian & Ashkan Amiri, 2014. "Asymmetry of the Oil Price Pass Through to Inflation in Iran," International Journal of Energy Economics and Policy, Econjournals, vol. 4(3), pages 457-464.
    27. Bimal Sahoo & D. Nauriyal, 2014. "Determinants of software exports from India," International Economics and Economic Policy, Springer, vol. 11(4), pages 455-479, December.
    28. Arghyrou, Michael G. & Gadea, Maria Dolores, 2012. "The single monetary policy and domestic macro-fundamentals: Evidence from Spain," Journal of Policy Modeling, Elsevier, vol. 34(1), pages 16-34.
    29. VAN BINH, Tu & DUMONT, Michel, 2008. "A fishing expedition in the Mekong Delta: Market volatility and price substitutes for Vietnamese fresh water fish," Working Papers 2008002, University of Antwerp, Faculty of Business and Economics.
    30. Bilgili, Faik & Koçak, Emrah & Bulut, Ümit & Sualp, M. Nedim, 2016. "How did the US economy react to shale gas production revolution? An advanced time series approach," Energy, Elsevier, vol. 116(P1), pages 963-977.
    31. PERRON, Pierre & RODRIGUEZ, Gabriel, 1998. "GLS Detrending, Efficient Unit Root Tests and Structural Change," Cahiers de recherche 9809, Universite de Montreal, Departement de sciences economiques.
    32. Deng, Ai, 2010. "Local power of consistent tests for serial correlation against the nearly integrated, nearly white noise process," Economics Letters, Elsevier, vol. 107(1), pages 22-25, April.
    33. Sabate, Marcela & Gadea, Maria Dolores & Serrano, Jose Maria, 2003. "PPP and structural breaks. The peseta-sterling rate, 50 years of a floating regime," Journal of International Money and Finance, Elsevier, vol. 22(5), pages 613-627, October.
    34. Ricardo Quineche Uribe & Gabriel Rodríguez, 2015. "Data-Dependent Methods for the Lag Length Selection in Unit Root Tests with Structural Change," Documentos de Trabajo / Working Papers 2015-404, Departamento de Economía - Pontificia Universidad Católica del Perú.
    35. Cavaliere, Giuseppe & Taylor, A.M. Robert, 2007. "Testing for unit roots in time series models with non-stationary volatility," Journal of Econometrics, Elsevier, vol. 140(2), pages 919-947, October.
    36. Ismael Sánchez, 2004. "Implementing unit roost tests in ARMA models of unknow order," Statistical Papers, Springer, vol. 45(2), pages 249-266, April.
    37. Gadea, Maria Dolores & Sabate, Marcela & Serrano, Jose Maria, 2004. "Structural breaks and their trace in the memory: Inflation rate series in the long-run," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 14(2), pages 117-134, April.
    38. Ricardo Quineche & Gabriel Rodríguez, 2017. "Selecting the Lag Length for the M GLS Unit Root Tests with Structural Change: A Warning Note for Practitioners Based on Simulations," Econometrics, MDPI, vol. 5(2), pages 1-10, April.
    39. Serena Ng & Pierre Perron, 1997. "Lag Length Selection and the Construction of Unit Root Tests with Good Size and Power," Boston College Working Papers in Economics 369, Boston College Department of Economics, revised 01 Sep 2000.
    40. Chu-An Liu & Biing-Shen Kuo & Wen-Jen Tsay, 2017. "Autoregressive Spectral Averaging Estimator," IEAS Working Paper : academic research 17-A013, Institute of Economics, Academia Sinica, Taipei, Taiwan.
    41. Ormos, Mihály & Erdős, Péter, 2011. "Borok mint alternatív befektetési lehetőségek [Wines as an alternative investment]," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(2), pages 158-172.
    42. Gabriel Rodriguez & Pierre Perron, 2013. "Single-equation tests for Cointegration with GLS Detrended Data," Boston University - Department of Economics - Working Papers Series 2013-016, Boston University - Department of Economics.

  62. Ng, S. & Pinkse, J., 1995. "Nonparametric-two-Step Estimation of Unknown Regression Functions when the Regressors and the Regression Error Are not Independent," Cahiers de recherche 9551, Universite de Montreal, Departement de sciences economiques.

    Cited by:

    1. Amigues, Jean-Pierre & Favard, Pascal & Gaudet, Gerard & Moreaux, Michel, 1998. "On the Optimal Order of Natural Resource Use When the Capacity of the Inexhaustible Substitute Is Limited," Journal of Economic Theory, Elsevier, vol. 80(1), pages 153-170, May.
    2. Davide Fiaschi & Andrea Mario Lavezzi & Angela Parenti, 2020. "Deep and Proximate Determinants of the World Income Distribution," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 66(3), pages 677-710, September.
    3. Davide Fiaschi & Andrea Mario Lavezzi & Angela Parenti, 2013. "On the Determinants of Distribution Dynamics," Discussion Papers 2013/165, Dipartimento di Economia e Management (DEM), University of Pisa, Pisa, Italy.
    4. Touhami, A. & Martens, A., 1996. "Macroemesures in Computable General Equilibrium Models: a Probabilistic Treatment with an Application to Morocco," Cahiers de recherche 9621, Universite de Montreal, Departement de sciences economiques.
    5. Matzkin, Rosa L., 2016. "On independence conditions in nonseparable models: Observable and unobservable instruments," Journal of Econometrics, Elsevier, vol. 191(2), pages 302-311.

  63. Ng, S. & Perron, P., 1995. "The Exact Error in Estimating the Special Density at the Origin," Cahiers de recherche 9535, Universite de Montreal, Departement de sciences economiques.

    Cited by:

    1. Lijuan Huo & Jin Seo Cho, 2019. "Testing for the Sandwich-Form Covariance Matrix Applied to Quasi-Maximum Likelihood Estimation Using Economic and Energy Price Growth Rates," Working papers 2019rwp-152, Yonsei University, Yonsei Economics Research Institute.
    2. Jirak, Moritz, 2014. "Simultaneous confidence bands for sequential autoregressive fitting," Journal of Multivariate Analysis, Elsevier, vol. 124(C), pages 130-149.
    3. Politis, D N, 2009. "Higher-Order Accurate, Positive Semi-definite Estimation of Large-Sample Covariance and Spectral Density Matrices," University of California at San Diego, Economics Working Paper Series qt66w826hz, Department of Economics, UC San Diego.
    4. Alessandro Casini & Taosong Deng & Pierre Perron, 2021. "Theory of Low Frequency Contamination from Nonstationarity and Misspecification: Consequences for HAR Inference," Papers 2103.01604, arXiv.org, revised Sep 2024.
    5. Paulo M.D.C. Parente & Richard J. Smith, 2018. "Generalised Empirical Likelihood Kernel Block Bootstrapping," Working Papers REM 2018/55, ISEG - Lisbon School of Economics and Management, REM, Universidade de Lisboa.
    6. Julien Fouquau & Philippe K. Spieser, 2015. "Statistical evidence about LIBOR manipulation: A "Sherlock Holmes" investigation," Post-Print hal-01160060, HAL.
    7. Youngsoo Bae & Robert M. de Jong, 2007. "Money demand function estimation by nonlinear cointegration," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 22(4), pages 767-793.
    8. Hashimzade, Nigar & Vogelsang, Timothy, 2006. "Fixed-b Asymptotic Approximation of the Sampling Behavior of Nonparametric Spectral Density Estimators," Working Papers 06-04, Cornell University, Center for Analytic Economics.
    9. Paulo Parente & Richard J. Smith, 2024. "Implied probability kernel block bootstrap for time series moment condition models," CeMMAP working papers 08/24, Institute for Fiscal Studies.
    10. Lijuan Huo & Jin Seo Cho, 2021. "Testing for the sandwich-form covariance matrix of the quasi-maximum likelihood estimator," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 30(2), pages 293-317, June.

  64. René Garcia & Serena Ng & Annamaria Lusardi, 1995. "Excess Sensitivity and Asymmetries in Consumption: An Empirical Investigation," CIRANO Working Papers 95s-09, CIRANO.

    Cited by:

    1. Shoji, Masahiro & Aoyagi, Keitaro & Kasahara, Ryuji & Sawada, Yasuyuki & Ueyama, Mika, 2012. "Social Capital Formation and Credit Access: Evidence from Sri Lanka," World Development, Elsevier, vol. 40(12), pages 2522-2536.
    2. Orazio P. Attanasio, 1998. "Consumption Demand," NBER Working Papers 6466, National Bureau of Economic Research, Inc.
    3. Yasuyuki SAWADA & Kensuke KUBO & Nobuhiko FUWA & Seiro ITO & Takashi KUROSAKI, 2006. "On The Mother And Child Labor Nexus Under Credit Constraints: Findings From Rural India," The Developing Economies, Institute of Developing Economies, vol. 44(4), pages 465-499, December.
    4. Ms. Sònia Muñoz, 2006. "Wealth Effects in Europe: A Tale of Two Countries (Italy and the United Kingdom)," IMF Working Papers 2006/030, International Monetary Fund.
    5. Stefania Basiglio & Maria Cristina Rossi & Arthur van Soest, 2023. "Subjective Inheritance Expectations and Economic Outcomes," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 69(4), pages 1088-1113, December.
    6. Giamboni, Luigi & Millemaci, Emanuele & Waldmann, Robert, 2007. "Evaluating how predictable errors in expected income affect consumption," MPRA Paper 12939, University Library of Munich, Germany.
    7. Jarkko Jääskelä, 2007. "More Potent Monetary Policy? Insights from a Threshold Model," RBA Research Discussion Papers rdp2007-07, Reserve Bank of Australia.
    8. Petar Sorić, 2022. "Ability to consume versus willingness to consume: the role of nonlinearities," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 49(3), pages 663-689, August.
    9. Andrei SEMENOV, 2010. "Asset Pricing with Idiosyncratic Consumption Risk and Limited Participation," EcoMod2004 330600126, EcoMod.
    10. Geng Li, 2007. "Transaction costs and consumption," Finance and Economics Discussion Series 2007-38, Board of Governors of the Federal Reserve System (U.S.).
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  65. Ng, S. & Perron, P., 1995. "Estimation and Inference in Nearly Unbalanced, Nearly Cointegrated Systems," Cahiers de recherche 9534, Universite de Montreal, Departement de sciences economiques.

    Cited by:

    1. Herwartz, Helmut & Reimers, Hans-Eggert, 2006. "Modelling the Fisher hypothesis: World wide evidence," Economics Working Papers 2006-04, Christian-Albrechts-University of Kiel, Department of Economics.
    2. John Nana Francois & Andrew Keinsley, 2023. "Intratemporal elasticity of substitution between private and public consumption: new evidence and implications," Empirical Economics, Springer, vol. 65(4), pages 1655-1692, October.
    3. Martin Lettau & Sydney C. Ludvigson, 2014. "Shocks and Crashes," NBER Macroeconomics Annual, University of Chicago Press, vol. 28(1), pages 293-354.
    4. Serletis, Apostolos & Shahmoradi, Asghar, 2007. "Chaos, self-organized criticality, and SETAR nonlinearity: An analysis of purchasing power parity between Canada and the United States," Chaos, Solitons & Fractals, Elsevier, vol. 33(5), pages 1437-1444.
    5. Westerlund, J., 2006. "Testing for error correction in panel data," Research Memorandum 056, Maastricht University, Maastricht Research School of Economics of Technology and Organization (METEOR).
    6. Torben G. Andersen & Rasmus T. Varneskov, 2021. "Testing for Parameter Instability and Structural Change in Persistent Predictive Regressions," NBER Working Papers 28570, National Bureau of Economic Research, Inc.
    7. Martin Lettau & Sydney C. Ludvigson, 2004. "Understanding Trend and Cycle in Asset Values: Reevaluating the Wealth Effect on Consumption," American Economic Review, American Economic Association, vol. 94(1), pages 276-299, March.
    8. Serletis, Apostolos & Rangel-Ruiz, Ricardo, 2004. "Testing for common features in North American energy markets," Energy Economics, Elsevier, vol. 26(3), pages 401-414, May.
    9. Gourieroux, Christian & Jasiak, Joann, 2010. "Inference for Noisy Long Run Component Process," MPRA Paper 98987, University Library of Munich, Germany.
    10. Felipa Mello Sampayo, 2006. "The Geographic Distribution of Economic Activities of the USA Multinational Enterprises," DEGIT Conference Papers c011_040, DEGIT, Dynamics, Economic Growth, and International Trade.
    11. Richard G. Anderson & Hailong Qian & Robert H. Rasche, 2006. "Analysis of panel vector error correction models using maximum likelihood, the bootstrap, and canonical-correlation estimators," Working Papers 2006-050, Federal Reserve Bank of St. Louis.
    12. Andersen, Torben G. & Varneskov, Rasmus T., 2021. "Consistent inference for predictive regressions in persistent economic systems," Journal of Econometrics, Elsevier, vol. 224(1), pages 215-244.
    13. Joanna TYROWICZ & Piotr W�JCIK, 2009. "Some Remarks On The Effects Of Active Labour Market Policies In Post-Transition," Journal of Applied Economic Sciences, Spiru Haret University, Faculty of Financial Management and Accounting Craiova, vol. 4(2(8)_ Sum).
    14. Lettau, Martin & Ludvigson, Sydney, 2001. "Understanding Trend and Cycle in Asset Values: Bulls, Bears and the Wealth Effect on Consumption," CEPR Discussion Papers 3104, C.E.P.R. Discussion Papers.
    15. Mohitosh Kejriwal & Pierre Perron, 2008. "Testing for Multiple Structural Changes in Cointegrated Regression Models," Purdue University Economics Working Papers 1216, Purdue University, Department of Economics.
    16. Gonzalo, J. & Ng, S., 1996. "A Systematic Framework for Analyzing the Dynamic Effects of Permanent and Transitory Shocks," Cahiers de recherche 9603, Universite de Montreal, Departement de sciences economiques.
    17. Lin, Yingqian & Tu, Yundong, 2020. "Robust inference for spurious regressions and cointegrations involving processes moderately deviated from a unit root," Journal of Econometrics, Elsevier, vol. 219(1), pages 52-65.
    18. Barrell, Ray & Costantini, Mauro & Meco, Iris, 2015. "Housing wealth, financial wealth, and consumption: New evidence for Italy and the UK," International Review of Financial Analysis, Elsevier, vol. 42(C), pages 316-323.
    19. FIodendji, Komlan, 2011. "Should Canadian monetary policy respond to asset prices? Evidence from a structural model," MPRA Paper 28039, University Library of Munich, Germany, revised 10 Jan 2011.
    20. Jushan Bai & Serena Ng, 2001. "A PANIC Attack on Unit Roots and Cointegration," Boston College Working Papers in Economics 519, Boston College Department of Economics.
    21. Kellard, Neil & Sarantis, Nicholas, 2008. "Can exchange rate volatility explain persistence in the forward premium?," Journal of Empirical Finance, Elsevier, vol. 15(4), pages 714-728, September.
    22. Horowitz, Joel L. & Savin, N. E., 2000. "Empirically relevant critical values for hypothesis tests: A bootstrap approach," Journal of Econometrics, Elsevier, vol. 95(2), pages 375-389, April.
    23. James D. Hamilton & Daniel F. Waggoner & Tao Zha, 2007. "Normalization in Econometrics," Econometric Reviews, Taylor & Francis Journals, vol. 26(2-4), pages 221-252.
    24. Serena Ng & Pierre Perron, 2002. "PPP May not Hold Afterall: A Further Investigation," CEMA Working Papers 83, China Economics and Management Academy, Central University of Finance and Economics.
    25. Franses,Philip Hans & Dijk,Dick van & Opschoor,Anne, 2014. "Time Series Models for Business and Economic Forecasting," Cambridge Books, Cambridge University Press, number 9780521817707, July.
    26. Dawood, Taufiq Carnegie & Francois, John Nana, 2018. "Substitution between private and government consumption in African economies," Economic Modelling, Elsevier, vol. 73(C), pages 129-139.
    27. Silika Prohl & Friedrich G. Schneider, 2006. "Sustainability of Public Debt and Budget Deficit: Panel cointegration analysis for the European Union Member countries," Economics working papers 2006-10, Department of Economics, Johannes Kepler University Linz, Austria.
    28. Angelos Kanas, 2009. "Real exchange rate, stationarity, and economic fundamentals," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 33(4), pages 393-409, October.
    29. Westerlund, J., 2006. "Panel cointegration tests of the Fisher effect," Research Memorandum 054, Maastricht University, Maastricht Research School of Economics of Technology and Organization (METEOR).
    30. Rapach, David E. & Weber, Christian E., 2004. "Are real interest rates really nonstationary? New evidence from tests with good size and power," Journal of Macroeconomics, Elsevier, vol. 26(3), pages 409-430, September.
    31. Dixon, R. & Shepherd, D., 2000. "Trends and Cycles in Australian State and Territory Unemployment Rates," Department of Economics - Working Papers Series 730, The University of Melbourne.
    32. Faisal Abbas & Ulrich Hiemenz, 2013. "What determines public health expenditures in Pakistan? Role of income, urbanization and unemployment," Economic Change and Restructuring, Springer, vol. 46(4), pages 341-362, November.
    33. Kejriwal, Mohitosh & Perron, Pierre, 2008. "The limit distribution of the estimates in cointegrated regression models with multiple structural changes," Journal of Econometrics, Elsevier, vol. 146(1), pages 59-73, September.
    34. Jack Strauss & Mark E. Wohar, 2004. "The Linkage between Prices, Wages, and Labor Productivity: A Panel Study of Manufacturing Industries," Southern Economic Journal, John Wiley & Sons, vol. 70(4), pages 920-941, April.
    35. Helmut Herwartz & Hans-Eggert Reimers, 2006. "Panel non stationary tests of the Fisher hypothesis in a world wide context. An analysis of 114 economies during the period 1960-2004," Applied Econometrics and International Development, Euro-American Association of Economic Development, vol. 6(3).
    36. BIKAI, J. Landry & OWOUNDI F., Ferdinand, 2016. "Does the choice of an exchange rate regime limits exchange rate misalignments? The example of sub-Saharan African countries," MPRA Paper 89110, University Library of Munich, Germany.
    37. Taner Yigit & Neil Arnwine, 2007. "What Fisher Knew About His Relation, We Sometimes Forget," Working Papers 0707, Department of Economics, Bilkent University.
    38. Chrigui Zouhair & Boujelbene Younes, 2009. "The Opportunities for Adopting Inflation Targeting in Tunisia: a Cointegration Study and Transmission Channels of Monetary Policy," Transition Studies Review, Springer;Central Eastern European University Network (CEEUN), vol. 16(3), pages 671-692, October.
    39. Yum K. Kwan, 2007. "The Direct Substitution between Government and Private Consumption in East Asia," NBER Chapters, in: Fiscal Policy and Management in East Asia, pages 45-58, National Bureau of Economic Research, Inc.
    40. Fiodendji, Komlan, 2011. "Should Canadian Monetary Policy Respond to Asset Prices? Evidence from a Structural Model," MPRA Paper 27942, University Library of Munich, Germany.
    41. Daniel Komlan Fiodendji, 2012. "Should Canadian Monetary Policy Respond to Asset Prices? Evidence from a Structural Model," Working Papers 1209E, University of Ottawa, Department of Economics.
    42. Yum K. Kwan, 2006. "The Direct Substitution Between Government and Private Consumption in East Asia," NBER Working Papers 12431, National Bureau of Economic Research, Inc.
    43. Coe, Patrick J. & Serletis, Apostolos, 2002. "Bounds tests of the theory of purchasing power parity," Journal of Banking & Finance, Elsevier, vol. 26(1), pages 179-199, January.
    44. John Goddard & David Mcmillan & John Wilson, 2008. "Dividends, prices and the present value model: firm-level evidence," The European Journal of Finance, Taylor & Francis Journals, vol. 14(3), pages 195-210.
    45. Nasseh, Alireza & Strauss, Jack, 2004. "Stock prices and the dividend discount model: did their relation break down in the 1990s?," The Quarterly Review of Economics and Finance, Elsevier, vol. 44(2), pages 191-207, May.

  66. Ng, S., 1995. "Looking for Evidence of Speculative Stockholding in Commodity Markets," Cahiers de recherche 9514, Universite de Montreal, Departement de sciences economiques.

    Cited by:

    1. Pesaran, M.H. & Ruge-Murcia, F.J., 1995. "A Discrete-Time Version of Target Zone Models with Jumps," Cahiers de recherche 9530, Centre interuniversitaire de recherche en économie quantitative, CIREQ.
    2. Christophe C. Gouel, 2012. "Agricultural price instability: a survey of competing explanations and remedies," Post-Print hal-01001218, HAL.
    3. Michaelides, Alexander & Ng, Serena, 2000. "Estimating the rational expectations model of speculative storage: A Monte Carlo comparison of three simulation estimators," Journal of Econometrics, Elsevier, vol. 96(2), pages 231-266, June.
    4. Cesar Revoredo, 2000. "On The Solution Of The Dynamic Rational Expectations Commodity Storage Model In The Presence Of Stockholding By Speculators And Processors," Computing in Economics and Finance 2000 42, Society for Computational Economics.
    5. Peterson, Hikaru Hanawa & Tomek, William G., 2003. "How Much Of Commodity Price Behavior Can A Rational Expectations Storage Model Explain?," Staff Papers 30712, Kansas State University, Department of Agricultural Economics.
    6. Kornher, Lukas & Kalkuhl, Matthias, 2013. "Food price volatility in developing countries and its determinants," 53rd Annual Conference, Berlin, Germany, September 25-27, 2013 156132, German Association of Agricultural Economists (GEWISOLA).
    7. Kausik Chaudhuri, 2001. "Long-run prices of primary commodities and oil prices," Applied Economics, Taylor & Francis Journals, vol. 33(4), pages 531-538.
    8. Yu‐Shan Wang & Chung‐Gee Lin & Shih‐Chieh Shih, 2011. "The dynamic relationship between agricultural futures and agriculture index in China," China Agricultural Economic Review, Emerald Group Publishing Limited, vol. 3(3), pages 369-382, September.
    9. Chavas, Jean-Paul & Kim, Kwansoo, 2005. "An Econometric Analysis of Price Dynamics in the Presence of a Price Floor: The Case of American Cheese," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 37(01), pages 1-15, April.
    10. Hüseyin Taştan & Yılmaz Köprücü, 2023. "Examining spatial market efficiency under different marketing regulations: The case of Turkish lemon markets," Agricultural Economics, International Association of Agricultural Economists, vol. 54(5), pages 709-727, September.
    11. Sprumont, Y., 1995. "On the Game-Theoretic Structure of Public-Good Economies," Cahiers de recherche 9519, Centre interuniversitaire de recherche en économie quantitative, CIREQ.
    12. Touhami, A. & Martens, A., 1996. "Macroemesures in Computable General Equilibrium Models: a Probabilistic Treatment with an Application to Morocco," Cahiers de recherche 9621, Universite de Montreal, Departement de sciences economiques.
    13. Tomek, William G. & Peterson, Hikaru Hanawa, 2000. "Risk Management in Agricultural Markets: A Survey," Staff Papers 121140, Cornell University, Department of Applied Economics and Management.
    14. Nicolas Legrand, 2019. "The Empirical Merit Of Structural Explanations Of Commodity Price Volatility: Review And Perspectives," Journal of Economic Surveys, Wiley Blackwell, vol. 33(2), pages 639-664, April.
    15. Ron Alquist & Saroj Bhattarai & Olivier Coibion, 2014. "Commodity-Price Comovement and Global Economic Activity," NBER Working Papers 20003, National Bureau of Economic Research, Inc.
    16. Evans, Lewis & Guthrie, Graeme, 2007. "Commodity Price Behavior With Storage Frictions," Working Paper Series 19065, Victoria University of Wellington, The New Zealand Institute for the Study of Competition and Regulation.
    17. Myers, Robert J., 2013. "Evaluating the effectiveness of inter-regional trade and storage in Malawi’s private sector maize markets," Food Policy, Elsevier, vol. 41(C), pages 75-84.
    18. Muhammad Imran Chaudhry & Mario J. Miranda, 2024. "Endogenous price fluctuations: Evidence from the chicken supply chain in Pakistan," American Journal of Agricultural Economics, John Wiley & Sons, vol. 106(2), pages 637-658, March.
    19. Kleppe, Tore Selland & Oglend, Atle, 2017. "Estimating the competitive storage model: A simulated likelihood approach," Econometrics and Statistics, Elsevier, vol. 4(C), pages 39-56.
    20. Li, Xiaoliang & Li, Bo & Liu, Li, 2023. "Stability and dynamic behaviors of a limited monopoly with a gradient adjustment mechanism," Chaos, Solitons & Fractals, Elsevier, vol. 168(C).

  67. Ng, S., 1995. "Testing for Homogeneity in Demand Systems when the Regressors Are Non-Stationary," Cahiers de recherche 9516, Universite de Montreal, Departement de sciences economiques.

    Cited by:

    1. Pesaran, M.H. & Ruge-Murcia, F.J., 1995. "A Discrete-Time Version of Target Zone Models with Jumps," Cahiers de recherche 9530, Centre interuniversitaire de recherche en économie quantitative, CIREQ.
    2. R. Blundell & J.M. Robin, 1999. "Estimation in large and disaggregated demand systems : an estimator for conditionally linear systems [[L'estimation dans les systèmes de demande étendus et désagrégés : un estimateur pour des systè," Post-Print hal-02686952, HAL.
    3. Luca Pieroni & Donatella Lanari & Luca Salmasi, 2010. "Food Prices and Overweight Patterns in Italy," EERI Research Paper Series EERI_RP_2010_40, Economics and Econometrics Research Institute (EERI), Brussels.
    4. Barnett, William A. & Serletis, Apostolos, 2008. "Consumer preferences and demand systems," MPRA Paper 8413, University Library of Munich, Germany.
    5. Ali Jadidzadeh & Apostolos Serletis, "undated". "Sectoral Interfuel Substitution in Canada: An Application of NQ Flexible Functional Forms," Working Papers 2015-04, Department of Economics, University of Calgary, revised 13 Apr 2015.
    6. Clifford Attfield, 2004. "Stochastic Trends, Demographics and Demand Systems," Bristol Economics Discussion Papers 04/563, School of Economics, University of Bristol, UK.
    7. Raymond Tse & Sivaguru Ganesan, 1997. "Causal relationship between construction flows and GDP: evidence from Hong Kong," Construction Management and Economics, Taylor & Francis Journals, vol. 15(4), pages 371-376.
    8. Amigues, Jean-Pierre & Favard, Pascal & Gaudet, Gerard & Moreaux, Michel, 1998. "On the Optimal Order of Natural Resource Use When the Capacity of the Inexhaustible Substitute Is Limited," Journal of Economic Theory, Elsevier, vol. 80(1), pages 153-170, May.
    9. D. Aristei & Luca Pieroni, 2008. "Cointegration Rank Test and Long Run Specification: A Note on the Robustness of Structural Demand Systems," Working Papers 0809, Department of Accounting, Economics and Finance, Bristol Business School, University of the West of England, Bristol.
    10. Ogura, Manami, 2011. "Testing for structural break in Japanese demand system after the bubble era," Structural Change and Economic Dynamics, Elsevier, vol. 22(3), pages 277-286, September.
    11. Collins, Sean & Anderson, Richard, 1998. "Modeling U.S. Households' Demands for Liquid Wealth in an Era of Financial Change," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 30(1), pages 83-101, February.
    12. Scholz, Christian M., 1997. "Environmental tax reform and the double dividend: An econometric demand analysis," Kiel Working Papers 821, Kiel Institute for the World Economy (IfW Kiel).
    13. Chang, Hui-Shung (Christie), 2000. "An econometric analysis of the competitive position of Australian cotton in the Japanese market," Working Papers 12940, University of New England, School of Economics.
    14. Vittorio Nicolardi, 2009. "The effects of the new 1995 ESA methodologies of estimation on the structural analysis of Italian consumption," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 18(1), pages 125-149, March.
    15. Sulgham, Anil K. & Zapata, Hector O., 2006. "A Dynamic Approach to Estimate Theoretically Consistent US Meat Demand System," 2006 Annual Meeting, February 5-8, 2006, Orlando, Florida 35441, Southern Agricultural Economics Association.
    16. Fofana, Abdulai & Jaffry, Shabbar, 2008. "Measuring Oligopsony Power of UK Salmon Retailers," Working Papers 61116, Scotland's Rural College (formerly Scottish Agricultural College), Land Economy & Environment Research Group.
    17. Tiffin, J. Richard & Balcombe, Kelvin George, 2003. "Testing Symmetry And Homogeneity In The Aids With Cointegrated Data Using Fully-Modified Estimation And The Bootstrap," 2003 Annual Meeting, August 16-22, 2003, Durban, South Africa 25845, International Association of Agricultural Economists.
    18. Kim, Jong-Jin & Zheng, Xiaoyong, 2014. "Effects of Alternative Marketing Arrangements on Spot Market Price Distribution in the U.S. Hog Market," 2014 Annual Meeting, July 27-29, 2014, Minneapolis, Minnesota 168759, Agricultural and Applied Economics Association.
    19. Toshinobu Matsuda, 2007. "Linearizing the inverse quadratic almost ideal demand system," Applied Economics, Taylor & Francis Journals, vol. 39(3), pages 381-396.
    20. Nzuma, Jonathan M. & Sarker, Rakhal, 2008. "An Error Corrected Almost Ideal Demand System for Major Cereals in Kenya," 2008 Annual Meeting, July 27-29, 2008, Orlando, Florida 6443, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    21. Douglas Fisher & Adrian R. Fleissig & Apostolos Serletis, 2006. "An Empirical Comparison of Flexible Demand System Functional Forms," World Scientific Book Chapters, in: Money And The Economy, chapter 13, pages 247-277, World Scientific Publishing Co. Pte. Ltd..
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    1. Pesaran, M.H. & Ruge-Murcia, F.J., 1995. "A Discrete-Time Version of Target Zone Models with Jumps," Cahiers de recherche 9530, Centre interuniversitaire de recherche en économie quantitative, CIREQ.
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    3. Huntley Schaller, 2010. "Investment, Taxes and the Cost of Capital: An Euler Equation Specification Test," American Journal of Economics and Business Administration, Science Publications, vol. 2(3), pages 210-220, September.
    4. Sangeeta Pratap & Silvio Rendon, 2003. "Firm Investment in Imperfect Capital Markets: A Structural Estimation," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 6(3), pages 513-545, July.
    5. Illing, Mark & Liu, Ying, 2006. "Measuring financial stress in a developed country: An application to Canada," Journal of Financial Stability, Elsevier, vol. 2(3), pages 243-265, October.
    6. Robert S. Chirinko & Huntley Schaller, 2008. "The Irreversibility Premium," CESifo Working Paper Series 2265, CESifo.
    7. Guariglia, Alessandra & Mateut, Simona, 2010. "Inventory investment, global engagement, and financial constraints in the UK: Evidence from micro data," Journal of Macroeconomics, Elsevier, vol. 32(1), pages 239-250, March.
    8. Amigues, Jean-Pierre & Favard, Pascal & Gaudet, Gerard & Moreaux, Michel, 1998. "On the Optimal Order of Natural Resource Use When the Capacity of the Inexhaustible Substitute Is Limited," Journal of Economic Theory, Elsevier, vol. 80(1), pages 153-170, May.
    9. Gilchrist, Simon & Himmelberg, Charles P., 1995. "Evidence on the role of cash flow for investment," Journal of Monetary Economics, Elsevier, vol. 36(3), pages 541-572, December.
    10. Chirinko, Robert S. & Schaller, Huntley, 2003. "A Revealed Preference Approach. To Understanding Corporate Governance Problems: Evidence From Canada," Economics Series 135, Institute for Advanced Studies.
    11. Sena, Vania, 2006. "The determinants of firms' performance: Can finance constraints improve technical efficiency?," European Journal of Operational Research, Elsevier, vol. 172(1), pages 311-325, July.
    12. Sprumont, Y., 1995. "On the Game-Theoretic Structure of Public-Good Economies," Cahiers de recherche 9519, Centre interuniversitaire de recherche en économie quantitative, CIREQ.
    13. Touhami, A. & Martens, A., 1996. "Macroemesures in Computable General Equilibrium Models: a Probabilistic Treatment with an Application to Morocco," Cahiers de recherche 9621, Universite de Montreal, Departement de sciences economiques.
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    15. Ornella Wanda Maietta & Vania Sena, 2010. "Financial Constraints And Technical Efficiency: Some Empirical Evidence For Italian Producers' Cooperatives," Annals of Public and Cooperative Economics, Wiley Blackwell, vol. 81(1), pages 21-38, March.
    16. Carpenter, Robert E. & Guariglia, Alessandra, 2008. "Cash flow, investment, and investment opportunities: New tests using UK panel data," Journal of Banking & Finance, Elsevier, vol. 32(9), pages 1894-1906, September.
    17. Mark Illing & Ying Liu, 2003. "An Index of Financial Stress for Canada," Staff Working Papers 03-14, Bank of Canada.

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  2. Jean-Jacques Forneron & Serena Ng, 2021. "Estimation and Inference by Stochastic Optimization: Three Examples," AEA Papers and Proceedings, American Economic Association, vol. 111, pages 626-630, May.
    See citations under working paper version above.
  3. Jushan Bai & Serena Ng, 2021. "Matrix Completion, Counterfactuals, and Factor Analysis of Missing Data," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 116(536), pages 1746-1763, October.
    See citations under working paper version above.
  4. Michael W. McCracken & Serena Ng, 2021. "FRED-QD: A Quarterly Database for Macroeconomic Research," Review, Federal Reserve Bank of St. Louis, vol. 103(1), pages 1-44, January.
    See citations under working paper version above.
  5. Yousuf, Kashif & Ng, Serena, 2021. "Boosting high dimensional predictive regressions with time varying parameters," Journal of Econometrics, Elsevier, vol. 224(1), pages 60-87.
    See citations under working paper version above.
  6. Sydney C. Ludvigson & Sai Ma & Serena Ng, 2021. "Uncertainty and Business Cycles: Exogenous Impulse or Endogenous Response?," American Economic Journal: Macroeconomics, American Economic Association, vol. 13(4), pages 369-410, October.
    See citations under working paper version above.
  7. Sydney C. Ludvigson & Sai Ma & Serena Ng, 2021. "COVID-19 and the Costs of Deadly Disasters," AEA Papers and Proceedings, American Economic Association, vol. 111, pages 366-370, May.

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    2. Lahiri, Kajal & Yang, Cheng, 2022. "Boosting tax revenues with mixed-frequency data in the aftermath of COVID-19: The case of New York," International Journal of Forecasting, Elsevier, vol. 38(2), pages 545-566.
    3. Paul Ho, 2021. "Forecasting in the Absence of Precedent," Working Paper 21-10, Federal Reserve Bank of Richmond.
    4. Serena Ng, 2021. "Modeling Macroeconomic Variations After COVID-19," Papers 2103.02732, arXiv.org, revised Jul 2021.
    5. Stankov, Petar, 2024. "Will voters polarize over pandemic restrictions? Theory and evidence from COVID-19," Economic Modelling, Elsevier, vol. 136(C).
    6. Mariella Nenova, 2022. "Households’ Consumption Pattern and Saving – Evidence for the First Year of the Covid-19 Pandemic in Bulgaria," Economic Studies journal, Bulgarian Academy of Sciences - Economic Research Institute, issue 6, pages 3-22.
    7. Chen, Jia & Yi, Xingjian & Liu, Hao, 2024. "Asset redeployability and firm value amidst the COVID-19 pandemic: A real options perspective," International Review of Financial Analysis, Elsevier, vol. 94(C).

  8. Sokbae Lee & Serena Ng, 2020. "An Econometric Perspective on Algorithmic Subsampling," Annual Review of Economics, Annual Reviews, vol. 12(1), pages 45-80, August.
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  9. Bai, Jushan & Ng, Serena, 2019. "Rank regularized estimation of approximate factor models," Journal of Econometrics, Elsevier, vol. 212(1), pages 78-96.

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    2. Songnian Chen & Junlong Feng, 2025. "Robust Quantile Factor Analysis," Papers 2501.15761, arXiv.org.
    3. 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.
    4. Jonas Krampe & Luca Margaritella, 2021. "Factor Models with Sparse VAR Idiosyncratic Components," Papers 2112.07149, arXiv.org, revised May 2022.
    5. Jushan Bai & Serena Ng, 2021. "Approximate Factor Models with Weaker Loadings," Papers 2109.03773, arXiv.org, revised Mar 2023.
    6. Jungjun Choi & Ming Yuan, 2024. "High Dimensional Factor Analysis with Weak Factors," Papers 2402.05789, arXiv.org.
    7. Hörmann, Siegfried & Jammoul, Fatima, 2022. "Consistently recovering the signal from noisy functional data," Journal of Multivariate Analysis, Elsevier, vol. 189(C).
    8. Beyhum, Jad & Striaukas, Jonas, 2024. "Testing for sparse idiosyncratic components in factor-augmented regression models," Journal of Econometrics, Elsevier, vol. 244(1).
    9. Miao, Ke & Phillips, Peter C.B. & Su, Liangjun, 2023. "High-dimensional VARs with common factors," Journal of Econometrics, Elsevier, vol. 233(1), pages 155-183.
    10. Horváth, Lajos & Liu, Zhenya & Rice, Gregory & Wang, Shixuan, 2020. "A functional time series analysis of forward curves derived from commodity futures," International Journal of Forecasting, Elsevier, vol. 36(2), pages 646-665.
    11. 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.
    12. Freyaldenhoven, Simon, 2022. "Factor models with local factors — Determining the number of relevant factors," Journal of Econometrics, Elsevier, vol. 229(1), pages 80-102.
    13. Jie Wei & Yonghui Zhang, 2023. "Does Principal Component Analysis Preserve the Sparsity in Sparse Weak Factor Models?," Papers 2305.05934, arXiv.org, revised Nov 2024.
    14. Guido W. Imbens & Davide Viviano, 2023. "Identification and Inference for Synthetic Controls with Confounding," Papers 2312.00955, arXiv.org.
    15. Orlando Joaqui-Barandica & Diego F. Manotas-Duque & Jorge M. Uribe-Gil, 2021. ""Commonality, macroeconomic factors and banking profitability"," IREA Working Papers 202113, University of Barcelona, Research Institute of Applied Economics, revised Jun 2021.
    16. Liang Chen & Juan Jose Dolado & Jesus Gonzalo, 2019. "Quantile Factor Models," Papers 1911.02173, arXiv.org, revised Sep 2020.
    17. Jin, Sainan & Miao, Ke & Su, Liangjun, 2021. "On factor models with random missing: EM estimation, inference, and cross validation," Journal of Econometrics, Elsevier, vol. 222(1), pages 745-777.
    18. Raffaella Giacomini & Katja Smetanina & Jason Lu, 2024. "Perceived shocks and impulse responses," IFS Working Papers WCWP21/24, Institute for Fiscal Studies.
    19. Hong, Shengjie & Su, Liangjun & Jiang, Tao, 2023. "Profile GMM estimation of panel data models with interactive fixed effects," Journal of Econometrics, Elsevier, vol. 235(2), pages 927-948.
    20. Christian Bayer & Luis Calderon & Moritz Kuhn, 2025. "Distributional Dynamics," CRC TR 224 Discussion Paper Series crctr224_2025_625, University of Bonn and University of Mannheim, Germany.
    21. Jushan Bai & Serena Ng, 2021. "Matrix Completion, Counterfactuals, and Factor Analysis of Missing Data," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 116(536), pages 1746-1763, October.
    22. Guo, Xiao & Chen, Yu & Tang, Cheng Yong, 2023. "Information criteria for latent factor models: A study on factor pervasiveness and adaptivity," Journal of Econometrics, Elsevier, vol. 233(1), pages 237-250.
    23. Jushan Bai & Serena Ng, 2020. "Simpler Proofs for Approximate Factor Models of Large Dimensions," Papers 2008.00254, arXiv.org.
    24. Christian Brownlees & Gu{dh}mundur Stef'an Gu{dh}mundsson & Yaping Wang, 2024. "Performance of Empirical Risk Minimization For Principal Component Regression," Papers 2409.03606, arXiv.org, revised Sep 2024.
    25. Yiren Wang & Liangjun Su & Yichong Zhang, 2022. "Low-rank Panel Quantile Regression: Estimation and Inference," Papers 2210.11062, arXiv.org.
    26. Farnè, Matteo & Montanari, Angela, 2024. "Large factor model estimation by nuclear norm plus ℓ1 norm penalization," Journal of Multivariate Analysis, Elsevier, vol. 199(C).
    27. Raffaella Giacomini & Jason Lu & Katja Smetanina, 2024. "Perceived shocks and impulse responses," CeMMAP working papers 21/24, Institute for Fiscal Studies.
    28. Serena Ng & Susannah Scanlan, 2023. "Constructing High Frequency Economic Indicators by Imputation," Papers 2303.01863, arXiv.org, revised Oct 2023.
    29. Rishab Guha & Serena Ng, 2019. "A Machine Learning Analysis of Seasonal and Cyclical Sales in Weekly Scanner Data," NBER Chapters, in: Big Data for Twenty-First-Century Economic Statistics, pages 403-436, National Bureau of Economic Research, Inc.

  10. Forneron, Jean-Jacques & Ng, Serena, 2018. "The ABC of simulation estimation with auxiliary statistics," Journal of Econometrics, Elsevier, vol. 205(1), pages 112-139.
    See citations under working paper version above.
  11. Gorodnichenko, Yuriy & Ng, Serena, 2017. "Level and volatility factors in macroeconomic data," Journal of Monetary Economics, Elsevier, vol. 91(C), pages 52-68.
    See citations under working paper version above.
  12. 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.

    Cited by:

    1. Bao, Yong & Yu, Xuewen, 2023. "Indirect inference estimation of dynamic panel data models," Journal of Econometrics, Elsevier, vol. 235(2), pages 1027-1053.
    2. Yong Bao & Xiaotian Liu & Lihong Yang, 2020. "Indirect Inference Estimation of Spatial Autoregressions," Econometrics, MDPI, vol. 8(3), pages 1-26, September.
    3. 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.
    4. Worapree Maneesoonthorn & David T. Frazier & Gael M. Martin, 2024. "Probabilistic Predictions of Option Prices Using Multiple Sources of Data," Papers 2412.00658, arXiv.org.
    5. Sönksen, Jantje & Grammig, Joachim, 2021. "Empirical asset pricing with multi-period disaster risk: A simulation-based approach," Journal of Econometrics, Elsevier, vol. 222(1), pages 805-832.
    6. 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.
    7. Yong Bao, 2021. "Indirect Inference Estimation of a First-Order Dynamic Panel Data Model," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 19(1), pages 79-98, December.
    8. Jean-Jacques Forneron, 2019. "A Sieve-SMM Estimator for Dynamic Models," Papers 1902.01456, arXiv.org, revised Jan 2023.
    9. Veronika Czellar & David T. Frazier & Eric Renault, 2020. "Approximate Maximum Likelihood for Complex Structural Models," Papers 2006.10245, arXiv.org.
    10. Shuowen Chen, 2022. "Indirect Inference for Nonlinear Panel Models with Fixed Effects," Papers 2203.10683, arXiv.org, revised Apr 2022.

  13. Michael W. McCracken & Serena Ng, 2016. "FRED-MD: A Monthly Database for Macroeconomic Research," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 34(4), pages 574-589, October.
    See citations under working paper version above.
  14. Nikolay Gospodinov & Serena Ng, 2015. "Minimum Distance Estimation of Possibly Noninvertible Moving Average Models," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 33(3), pages 403-417, July.
    See citations under working paper version above.
  15. Kyle Jurado & Sydney C. Ludvigson & Serena Ng, 2015. "Measuring Uncertainty," American Economic Review, American Economic Association, vol. 105(3), pages 1177-1216, March.
    See citations under working paper version above.
  16. Serena Ng, 2015. "Constructing Common Factors from Continuous and Categorical Data," Econometric Reviews, Taylor & Francis Journals, vol. 34(6-10), pages 1141-1171, December.

    Cited by:

    1. Wang, Peng & Wang, Xi, 2025. "Adjusted principal component estimation for binary factor model," MPRA Paper 123844, University Library of Munich, Germany.
    2. Stegeman, Alwin, 2016. "A new method for simultaneous estimation of the factor model parameters, factor scores, and unique parts," Computational Statistics & Data Analysis, Elsevier, vol. 99(C), pages 189-203.
    3. Benjamin Williams, 2018. "Identification of the Linear Factor Model," Working Papers 2018-002, The George Washington University, Department of Economics, H. O. Stekler Research Program on Forecasting.
    4. Wang, Fa, 2017. "Maximum likelihood estimation and inference for high dimensional nonlinear factor models with application to factor-augmented regressions," MPRA Paper 93484, University Library of Munich, Germany, revised 19 May 2019.
    5. Wang, Fa, 2022. "Maximum likelihood estimation and inference for high dimensional generalized factor models with application to factor-augmented regressions," Journal of Econometrics, Elsevier, vol. 229(1), pages 180-200.
    6. Evan M. Munro & Serena Ng, 2020. "Latent Dirichlet Analysis of Categorical Survey Expectations," NBER Working Papers 27182, National Bureau of Economic Research, Inc.
    7. Evan Munro & Serena Ng, 2022. "Latent Dirichlet Analysis of Categorical Survey Responses," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 40(1), pages 256-271, January.

  17. Komunjer, Ivana & Ng, Serena, 2014. "Measurement Errors In Dynamic Models," Econometric Theory, Cambridge University Press, vol. 30(1), pages 150-175, February.

    Cited by:

    1. 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.
    2. Tim Bollerslev & Andrew J. Patton & Rogier Quaedvlieg, 2016. "Modeling and Forecasting (Un)Reliable Realized Covariances for More Reliable Financial Decisions," CREATES Research Papers 2016-10, Department of Economics and Business Economics, Aarhus University.
    3. Alicia N. Rambaldi & Ryan R. J. McAllister & Cameron S. Fletcher, 2015. "Decoupling land values in residential property prices: smoothing methods for hedonic imputed price indices," Discussion Papers Series 549, School of Economics, University of Queensland, Australia.
    4. Daniel Kaufmann, 2017. "Is Deflation Costly After All? The Perils of Erroneous Historical Classifications," IRENE Working Papers 17-09, IRENE Institute of Economic Research.
    5. Thomas von Brasch & Diana‐Cristina Iancu & Terje Skjerpen, 2020. "Productivity Dispersion and Measurement Error," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 66(4), pages 985-996, December.
    6. 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.
    7. Hilbert, Martin, 2016. "The bad news is that the digital access divide is here to stay: Domestically installed bandwidths among 172 countries for 1986–2014," Telecommunications Policy, Elsevier, vol. 40(6), pages 567-581.
    8. Jiahe Lin & George Michailidis, 2019. "Regularized Estimation of High-dimensional Factor-Augmented Vector Autoregressive (FAVAR) Models," Papers 1912.04146, arXiv.org, revised May 2020.
    9. Edith Kitzmantel, 2016. "EU-Fiskalregeln - Anker oder Mühlstein der europäischen Wirtschaftspolitik?," Wirtschaft und Gesellschaft - WuG, Kammer für Arbeiter und Angestellte für Wien, Abteilung Wirtschaftswissenschaft und Statistik, vol. 42(3), pages 431-450.

  18. Serena Ng, 2014. "Viewpoint: Boosting Recessions," Canadian Journal of Economics, Canadian Economics Association, vol. 47(1), pages 1-34, February.

    Cited by:

    1. Carstensen, Kai & Heinrich, Markus & Reif, Magnus & Wolters, Maik H., 2020. "Predicting ordinary and severe recessions with a three-state Markov-switching dynamic factor model," International Journal of Forecasting, Elsevier, vol. 36(3), pages 829-850.
    2. Vrontos, Spyridon D. & Galakis, John & Vrontos, Ioannis D., 2021. "Modeling and predicting U.S. recessions using machine learning techniques," International Journal of Forecasting, Elsevier, vol. 37(2), pages 647-671.
    3. Pierdzioch Christian & Gupta Rangan, 2020. "Uncertainty and Forecasts of U.S. Recessions," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 24(4), pages 1-20, September.
    4. Cyrille Lenoel & Garry Young, 2020. "Real-time turning point indicators: Review of current international practices," Economic Statistics Centre of Excellence (ESCoE) Discussion Papers ESCoE DP-2020-05, Economic Statistics Centre of Excellence (ESCoE).
    5. Philippe Goulet Coulombe & Maxime Leroux & Dalibor Stevanovic & Stéphane Surprenant, 2019. "How is Machine Learning Useful for Macroeconomic Forecasting?," CIRANO Working Papers 2019s-22, CIRANO.
    6. Lahiri, Kajal & Yang, Cheng, 2022. "Boosting tax revenues with mixed-frequency data in the aftermath of COVID-19: The case of New York," International Journal of Forecasting, Elsevier, vol. 38(2), pages 545-566.
    7. Dalibor Stevanovic & Rachidi Kotchoni, 2016. "Forecasting U.S. Recessions and Economic Activity," CIRANO Working Papers 2016s-36, CIRANO.
    8. Balcilar, Mehmet & Gupta, Rangan & Segnon, Mawuli, 2016. "The role of economic policy uncertainty in predicting U.S. recessions: A mixed-frequency Markov-switching vector autoregressive approach," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 10, pages 1-20.
    9. Christiansen, Charlotte & Eriksen, Jonas N. & Møller, Stig V., 2019. "Negative house price co-movements and US recessions," Regional Science and Urban Economics, Elsevier, vol. 77(C), pages 382-394.
    10. Seulki Chung, 2023. "Inside the black box: Neural network-based real-time prediction of US recessions," Papers 2310.17571, arXiv.org, revised May 2024.
    11. Weiling Liu & Emanuel Moench, 2014. "What predicts U.S. recessions?," Staff Reports 691, Federal Reserve Bank of New York.
    12. Jörg Döpke & Ulrich Fritsche & Christian Pierdzioch, 2015. "Predicting Recessions With Boosted Regression Trees," Working Papers 2015-004, The George Washington University, Department of Economics, H. O. Stekler Research Program on Forecasting.
    13. Michael Puglia & Adam Tucker, 2020. "Machine Learning, the Treasury Yield Curve and Recession Forecasting," Finance and Economics Discussion Series 2020-038, Board of Governors of the Federal Reserve System (U.S.).
    14. Seulki Chung, 2023. "Real-time Prediction of the Great Recession and the Covid-19 Recession," Papers 2310.08536, arXiv.org, revised May 2024.
    15. Buckmann, Marcus & Haldane, Andy & Hüser, Anne-Caroline, 2021. "Comparing minds and machines: implications for financial stability," Bank of England working papers 937, Bank of England.
    16. Peter C. B. Phillips & Zhentao Shi, 2021. "Boosting: Why You Can Use The Hp Filter," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 62(2), pages 521-570, May.
    17. Anesti, Nikoleta & Kalamara, Eleni & Kapetanios, George, 2021. "Forecasting UK GDP growth with large survey panels," Bank of England working papers 923, Bank of England.
    18. Hinterlang, Natascha & Hollmayr, Josef, 2022. "Classification of monetary and fiscal dominance regimes using machine learning techniques," Journal of Macroeconomics, Elsevier, vol. 74(C).
    19. Khoa Hoang & Robert Faff, 2021. "Is the ex‐ante equity risk premium always positive? Evidence from a new conditional expectations model," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 61(1), pages 95-124, March.
    20. Yousuf, Kashif & Ng, Serena, 2021. "Boosting high dimensional predictive regressions with time varying parameters," Journal of Econometrics, Elsevier, vol. 224(1), pages 60-87.
    21. Daniel Borup & Bent Jesper Christensen & Nicolaj N. Mühlbach & Mikkel S. Nielsen, 2020. "Targeting predictors in random forest regression," CREATES Research Papers 2020-03, Department of Economics and Business Economics, Aarhus University.
    22. Davig, Troy & Hall, Aaron Smalter, 2019. "Recession forecasting using Bayesian classification," International Journal of Forecasting, Elsevier, vol. 35(3), pages 848-867.
    23. Domenico Giannone & Michele Lenza & Giorgio E. Primiceri, 2021. "Economic Predictions With Big Data: The Illusion of Sparsity," Econometrica, Econometric Society, vol. 89(5), pages 2409-2437, September.
    24. Hinterlang, Natascha & Hollmayr, Josef, 2021. "Classification of monetary and fiscal dominance regimes using machine learning techniques," IMFS Working Paper Series 160, Goethe University Frankfurt, Institute for Monetary and Financial Stability (IMFS).
    25. Diptes C. P. Bhimjee, 2022. "Adaptive Early Warning Systems: An Axiomatic Approach," Journal of Central Banking Theory and Practice, Central bank of Montenegro, vol. 11(2), pages 145-164.
    26. Bluwstein, Kristina & Buckmann, Marcus & Joseph, Andreas & Kang, Miao & Kapadia, Sujit & Simsek, Özgür, 2020. "Credit growth, the yield curve and financial crisis prediction: evidence from a machine learning approach," Bank of England working papers 848, Bank of England.
    27. Azqueta-Gavaldon, Andres & Hirschbühl, Dominik & Onorante, Luca & Saiz, Lorena, 2020. "Nowcasting business cycle turning points with stock networks and machine learning," Working Paper Series 2494, European Central Bank.
    28. Hinterlang, Natascha & Hollmayr, Josef, 2020. "Classification of monetary and fiscal dominance regimes using machine learning techniques," Discussion Papers 51/2020, Deutsche Bundesbank.
    29. Lauri Nevasalmi, 2022. "Recession forecasting with high‐dimensional data," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 41(4), pages 752-764, July.
    30. Huiwen Lai & Eric C. Y. Ng, 2020. "On business cycle forecasting," Frontiers of Business Research in China, Springer, vol. 14(1), pages 1-26, December.
    31. Heikki Kauppi, 2019. "Recession Prediction with OptimalUse of Leading Indicators," Discussion Papers 125, Aboa Centre for Economics.
    32. Giusto, Andrea & Piger, Jeremy, 2017. "Identifying business cycle turning points in real time with vector quantization," International Journal of Forecasting, Elsevier, vol. 33(1), pages 174-184.
    33. Peter C.B. Phillips & Zhentao Shi, 2019. "Boosting the Hodrick-Prescott Filter," Cowles Foundation Discussion Papers 2192, Cowles Foundation for Research in Economics, Yale University.
    34. Jianghao Chu & Tae-Hwy Lee & Aman Ullah, 2023. "Asymmetric AdaBoost for High-dimensional Maximum Score Regression," Working Papers 202306, University of California at Riverside, Department of Economics.

  19. Serena Ng & Jonathan H. Wright, 2013. "Facts and Challenges from the Great Recession for Forecasting and Macroeconomic Modeling," Journal of Economic Literature, American Economic Association, vol. 51(4), pages 1120-1154, December.
    See citations under working paper version above.
  20. Emanuel Moench & Serena Ng & Simon Potter, 2013. "Dynamic Hierarchical Factor Model," The Review of Economics and Statistics, MIT Press, vol. 95(5), pages 1811-1817, December.
    See citations under working paper version above.
  21. Nikolay Gospodinov & Serena Ng, 2013. "Commodity Prices, Convenience Yields, and Inflation," The Review of Economics and Statistics, MIT Press, vol. 95(1), pages 206-219, March.

    Cited by:

    1. Martin Feldkircher & Pierre L. Siklos, 2018. "Global inflation dynamics and inflation expectations," CAMA Working Papers 2018-60, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    2. Delle Chiaie, Simona & Ferrara, Laurent & Giannone, Domenico, 2018. "Common factors of commodity prices," Research Bulletin, European Central Bank, vol. 51.
    3. Dimitrios Bakas & Athanasios Triantafyllou, 2018. "The Impact of Uncertainty Shocks on the Volatility of Commodity Prices," NBS Discussion Papers in Economics 2018/02, Economics, Nottingham Business School, Nottingham Trent University.
    4. Mehmet Balcilar & NICO KATZKE & Rangan Gupta, 2015. "Do Precious Metal Prices Help in Forecasting South African Inflation?," Working Papers 15-05, Eastern Mediterranean University, Department of Economics.
    5. Mr. Ron Alquist & Mr. Olivier Coibion, 2013. "The Comovement in Commodity Prices: Sources and Implications," IMF Working Papers 2013/140, International Monetary Fund.
    6. O'Rourke, Kevin & Ellison, Martin & Lee, Sang Seok, 2020. "The Ends of 27 Big Depressions," CEPR Discussion Papers 15061, C.E.P.R. Discussion Papers.
    7. Kucher, Oleg & Kurov, Alexander, 2014. "Business cycle, storage, and energy prices," Review of Financial Economics, Elsevier, vol. 23(4), pages 217-226.
    8. Jed Armstrong & Günes Kamber & Özer Karagedikli, 2016. "Developing a labour utilisation composite index for New Zealand," Reserve Bank of New Zealand Analytical Notes series AN2016/04, Reserve Bank of New Zealand.
    9. Nikolay Gospodinov & Ibrahim Jamali, 2013. "Monetary policy surprises, positions of traders, and changes in commodity futures prices," FRB Atlanta Working Paper 2013-12, Federal Reserve Bank of Atlanta.
    10. Derek Bunn & Julien Chevallier & Yannick Le Pen & Benoît Sévi, 2017. "Fundamental and Financial Influences on the Co-movement of Oil and Gas prices," Post-Print hal-01619890, HAL.
    11. Yannick Le Pen & Benoît Sévi, 2013. "Futures trading and the excess comovement of commodity prices," Working Papers 2013-19, Department of Research, Ipag Business School.
    12. Byrne, Joseph P. & Ibrahim, Boulis Maher & Sakemoto, Ryuta, 2019. "Carry trades and commodity risk factors," Journal of International Money and Finance, Elsevier, vol. 96(C), pages 121-129.
    13. 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.
    14. Karol Szafranek, 2015. "Financialisation of the commodity markets. Conclusions from the VARX DCC GARCH," EcoMod2015 8554, EcoMod.
    15. Liu, Yang & Han, Liyan & Xu, Yang, 2021. "The impact of geopolitical uncertainty on energy volatility," International Review of Financial Analysis, Elsevier, vol. 75(C).
    16. Yin, Libo & Han, Liyan, 2015. "Co-movements in commodity prices: Global, sectoral and commodity-specific factors," Economics Letters, Elsevier, vol. 126(C), pages 96-100.
    17. Kyungbo Park & Hangook Kim & Jeonghwa Cha, 2023. "An Exploratory Study on the Development of a Crisis Index: Focusing on South Korea’s Petroleum Industry," Energies, MDPI, vol. 16(14), pages 1-24, July.
    18. Daskalaki, Charoula & Kostakis, Alexandros & Skiadopoulos, George, 2014. "Are there common factors in individual commodity futures returns?," Journal of Banking & Finance, Elsevier, vol. 40(C), pages 346-363.
    19. Sévi, Benoît, 2015. "Explaining the convenience yield in the WTI crude oil market using realized volatility and jumps," Economic Modelling, Elsevier, vol. 44(C), pages 243-251.
    20. Figuerola-Ferretti, Isabel & McCrorie, J. Roderick, 2016. "The shine of precious metals around the global financial crisis," Journal of Empirical Finance, Elsevier, vol. 38(PB), pages 717-738.
    21. Baruník, Jozef & Bevilacqua, Mattia & Tunaru, Radu, 2022. "Asymmetric network connectedness of fears," LSE Research Online Documents on Economics 108199, London School of Economics and Political Science, LSE Library.
    22. Matsumoto, Akito & Pescatori, Andrea & Wang, Xueliang, 2023. "Commodity prices and global economic activity," Japan and the World Economy, Elsevier, vol. 66(C).
    23. Toni Beutler, 2012. "Forecasting Exchange Rates with Commodity Convenience Yields," Working Papers 12.03, Swiss National Bank, Study Center Gerzensee.
    24. Venkata Sai Srinivasa Rao Muramalla & Hassan Ali Alqahtani, 2020. "Long Run Association of Oil Prices and Stock Prices: A Case of Indonesia," International Journal of Energy Economics and Policy, Econjournals, vol. 10(5), pages 593-600.
    25. West, Kenneth D. & Wong, Ka-Fu, 2014. "A factor model for co-movements of commodity prices," Journal of International Money and Finance, Elsevier, vol. 42(C), pages 289-309.
    26. Sílvia GONÇALVES & Benoit PERRON, 2018. "Bootstrapping Factor Models With Cross Sectional Dependence," Cahiers de recherche 10-2018, Centre interuniversitaire de recherche en économie quantitative, CIREQ.
    27. Fang, Puyi & Gao, Zhaoxing & Tsay, Ruey S., 2023. "Supervised kernel principal component analysis for forecasting," Finance Research Letters, Elsevier, vol. 58(PA).
    28. Abid, Ilyes & Goutte, Stéphane & Guesmi, Khaled & Jamali, Ibrahim, 2019. "Transmission of shocks and contagion from U.S. to MENA equity markets: The role of oil and gas markets," Energy Policy, Elsevier, vol. 134(C).
    29. Silvia Gonçalves & Benoit Perron, 2012. "Bootstrapping factor-augmented regression models," CIRANO Working Papers 2012s-12, CIRANO.
    30. Yu-chin Chen & Stephen J. Turnovsky & Eric Zivot, 2011. "Forecasting Inflation using Commodity Price Aggregates," Working Papers UWEC-2011-14, University of Washington, Department of Economics.
    31. Shiu-Sheng Chen, 2016. "Commodity prices and related equity prices," Canadian Journal of Economics, Canadian Economics Association, vol. 49(3), pages 949-967, August.
    32. Takuji Fueki & Jouchi Nakajima & Shinsuke Ohyama & Yoichiro Tamanyu, 2021. "Identifying oil price shocks and their consequences: The role of expectations in the crude oil market," International Finance, Wiley Blackwell, vol. 24(1), pages 53-76, April.
    33. Wen, Chufu & Zhu, Haoyang & Dai, Zhifeng, 2023. "Forecasting commodity prices returns: The role of partial least squares approach," Energy Economics, Elsevier, vol. 125(C).
    34. Julien Chevallier & Benoît Sévi, 2014. "A fear index to predict oil futures returns," Post-Print hal-01463111, HAL.
    35. Bonnier, Jean-Baptiste, 2021. "Speculation and informational efficiency in commodity futures markets," Journal of International Money and Finance, Elsevier, vol. 117(C).
    36. Nikolay Gospodinov & Ibrahim Jamali, 2018. "Monetary policy uncertainty, positions of traders and changes in commodity futures prices," European Financial Management, European Financial Management Association, vol. 24(2), pages 239-260, March.
    37. Hounyo, Ulrich & Lahiri, Kajal, 2023. "Estimating the variance of a combined forecast: Bootstrap-based approach," Journal of Econometrics, Elsevier, vol. 232(2), pages 445-468.
    38. Tiwari, Aviral Kumar & Abakah, Emmanuel Joel Aikins & Abdullah, Mohammad & Adeabah, David & Sahay, Vinita S., 2024. "Time-varying relationship between international monetary policy and energy markets," Energy Economics, Elsevier, vol. 131(C).
    39. Apergis, Nicholas & Chatziantoniou, Ioannis & Cooray, Arusha, 2020. "Monetary policy and commodity markets: Unconventional versus conventional impact and the role of economic uncertainty," International Review of Financial Analysis, Elsevier, vol. 71(C).
    40. Hachmi Ben Ameur & Sahbi Boubaker & Zied Ftiti & Wael Louhichi & Kais Tissaoui, 2024. "Forecasting commodity prices: empirical evidence using deep learning tools," Annals of Operations Research, Springer, vol. 339(1), pages 349-367, August.
    41. Yang Liu & Liyan Han & Libo Yin, 2018. "Does news uncertainty matter for commodity futures markets? Heterogeneity in energy and non‐energy sectors," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 38(10), pages 1246-1261, October.
    42. Massimo Guidolin & Manuela Pedio, 2022. "Switching Coefficients or Automatic Variable Selection: An Application in Forecasting Commodity Returns," Forecasting, MDPI, vol. 4(1), pages 1-32, February.
    43. Thomas Conlon & Brian M. Lucey & Gazi Salah Uddin, 2018. "Is gold a hedge against inflation? A wavelet time-scale perspective," Review of Quantitative Finance and Accounting, Springer, vol. 51(2), pages 317-345, August.
    44. Triantafyllou, Athanasios & Dotsis, George, 2017. "Option-implied expectations in commodity markets and monetary policy," Journal of International Money and Finance, Elsevier, vol. 77(C), pages 1-17.
    45. Cerqueti, Roy & Ventura, Marco, 2020. "Optimal concession contracts for oil exploitation," Energy Policy, Elsevier, vol. 147(C).
    46. Lof, Matthijs & Nyberg, Henri, 2017. "Noncausality and the commodity currency hypothesis," Energy Economics, Elsevier, vol. 65(C), pages 424-433.
    47. Siklos, Pierre L., 2021. "The macroeconomic response to real and financial factors, commodity prices, and monetary policy: International evidence," Economic Systems, Elsevier, vol. 45(1).
    48. Ron Alquist & Gregory Bauer & Antonio Diez de los Rios, 2014. "What Does the Convenience Yield Curve Tell Us about the Crude Oil Market?," Staff Working Papers 14-42, Bank of Canada.
    49. Pan, Zhigang & Bai, Zhihong & Xing, Xiaochao & Wang, Zhufeng, 2024. "US inflation and global commodity prices: Asymmetric interdependence," Research in International Business and Finance, Elsevier, vol. 69(C).
    50. Dagher, Leila & Jamali, Ibrahim & badra, nasser, 2018. "The Predictive Power of Oil and Commodity Prices for Equity Markets," MPRA Paper 116055, University Library of Munich, Germany.
    51. Renuka Mahadevan & Sandy Suardi, 2013. "An Examination Of Linear And Nonlinear Causal Relationships Between Commodity Prices And U.S. Inflation," Economic Inquiry, Western Economic Association International, vol. 51(4), pages 1932-1947, October.
    52. Anthony Garratt & Ivan Petrella, 2022. "Commodity prices and inflation risk," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 37(2), pages 392-414, March.
    53. Ron Alquist & Saroj Bhattarai & Olivier Coibion, 2014. "Commodity-Price Comovement and Global Economic Activity," NBER Working Papers 20003, National Bureau of Economic Research, Inc.
    54. Wang, Qing & Hu, Yiming, 2015. "Cross-correlation between interest rates and commodity prices," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 428(C), pages 80-89.
    55. Fernandez, Viviana, 2020. "The predictive power of convenience yields," Resources Policy, Elsevier, vol. 65(C).
    56. Jed Armstrong & Ashley Dunstan & Tobias Irrcher, 2017. "Evaluating alternative monthly house price measures for New Zealand," Reserve Bank of New Zealand Analytical Notes series AN2017/02, Reserve Bank of New Zealand.
    57. Bannigidadmath, Deepa & Narayan, Paresh Kumar, 2021. "Commodity futures returns and policy uncertainty," International Review of Economics & Finance, Elsevier, vol. 72(C), pages 364-383.
    58. Pradhan, Rudra P. & Hall, John H. & du Toit, Elda, 2021. "The lead–lag relationship between spot and futures prices: Empirical evidence from the Indian commodity market," Resources Policy, Elsevier, vol. 70(C).
    59. Liu, Li & Tan, Siming & Wang, Yudong, 2020. "Can commodity prices forecast exchange rates?," Energy Economics, Elsevier, vol. 87(C).
    60. Wang, Yudong & Zhang, Bing & Diao, Xundi & Wu, Chongfeng, 2015. "Commodity price changes and the predictability of economic policy uncertainty," Economics Letters, Elsevier, vol. 127(C), pages 39-42.
    61. Martin Hodula, 2019. "Monetary Policy and Shadow Banking: Trapped between a Rock and a Hard Place," Working Papers 2019/5, Czech National Bank.
    62. Rexford Abaidoo & Elvis Kwame Agyapong, 2023. "Global food price volatility and inflationary pressures among developing economies," SN Business & Economics, Springer, vol. 3(10), pages 1-21, October.
    63. Bonnier, Jean-Baptiste, 2022. "Forecasting crude oil volatility with exogenous predictors: As good as it GETS?," Energy Economics, Elsevier, vol. 111(C).
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    4. 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).
    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.
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    7. Bernd Funovits, 2014. "Implications of Stochastic Singularity in Linear Multivariate Rational Expectations Models," Vienna Economics Papers vie1405, University of Vienna, Department of Economics.
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    9. Pedro Brinca & Nikolay Iskrev & Francesca Loria, 2022. "On Identification Issues in Business Cycle Accounting Models," Advances in Econometrics, in: Essays in Honour of Fabio Canova, volume 44, pages 55-138, Emerald Group Publishing Limited.
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    19. Chatelain, Jean-Bernard & Ralf, Kirsten, 2017. "Can we Identify the Fed's Preferences?," MPRA Paper 76831, University Library of Munich, Germany.
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      • Stéphane Adjemian & Houtan Bastani & Michel Juillard & Frédéric Karamé & Ferhat Mihoubi & Willi Mutschler & Johannes Pfeifer & Marco Ratto & Sébastien Villemot & Normann Rion, 2023. "Dynare: Reference Manual Version 5," PSE Working Papers hal-04219920, HAL.
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    2. MeiChi Huang, 2022. "Time‐varying impacts of expectations on housing markets across hot and cold phases," International Finance, Wiley Blackwell, vol. 25(2), pages 249-265, August.
    3. Matteo Luciani, 2015. "Monetary Policy and the Housing Market: A Structural Factor Analysis," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 30(2), pages 199-218, March.
    4. MeiChi Huang, 2019. "A Nationwide or Localized Housing Crisis? Evidence from Structural Instability in US Housing Price and Volume Cycles," Computational Economics, Springer;Society for Computational Economics, vol. 53(4), pages 1547-1563, April.
    5. Rubén Hernández-Murillo & Michael T Owyang & Margarita Rubio, 2013. "Clustered Housing Cycles," Discussion Papers 2013/02, University of Nottingham, Centre for Finance, Credit and Macroeconomics (CFCM).
    6. Valadkhani, Abbas, 2014. "Analysing interest rate mark-ups in the Australian mortgage market," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 31(C), pages 343-361.
    7. Shikong Luo & Alan Tidwell & Sherwood Clements, 2022. "Does Political Uncertainty Affect Residential Development?," The Journal of Real Estate Finance and Economics, Springer, vol. 65(4), pages 572-592, November.
    8. Mario Forni & Alessandro Giovannelli & Marco Lippi & Stefano Soccorsi, 2016. "Dynamic Factor Model with Infinite Dimensional Factor Space: Forecasting," Working Papers ECARES ECARES 2016-16, ULB -- Universite Libre de Bruxelles.
    9. Cesa-Bianchi, Ambrogio, 2012. "Housing Cycles and Macroeconomic Fluctuations: A Global Perspective," IDB Publications (Working Papers) 4085, Inter-American Development Bank.
    10. Marcel Förster & Markus Jorra & Peter Tillmann, 2012. "The Dynamics of International Capital Flows: Results from a Dynamic Hierarchical Factor Model," MAGKS Papers on Economics 201221, Philipps-Universität Marburg, Faculty of Business Administration and Economics, Department of Economics (Volkswirtschaftliche Abteilung).
    11. Manfred M. Fischer & Florian Huber & Michael Pfarrhofer & Petra Staufer‐Steinnocher, 2021. "The Dynamic Impact of Monetary Policy on Regional Housing Prices in the United States," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 49(4), pages 1039-1068, December.
    12. Michel van der Wel & Sait R. Ozturk & Dick van Dijk, 2015. "Dynamic Factor Models for the Volatility Surface," CREATES Research Papers 2015-13, Department of Economics and Business Economics, Aarhus University.
    13. Marcin Jaskowski & Michael McAleer, 2018. "Spurious Cross-Sectional Dependence in Credit Spread Changes," Documentos de Trabajo del ICAE 2018-21, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
    14. Olfa Kaabia & Ilyes Abid, 2012. "Theoretical Channels of International,Transmission During the Subprime Crisis to OCDE Countries: A FAVAR Model Under Bayesian Framework," Working Papers hal-04141045, HAL.
    15. Catherine Doz & Peter Fuleky, 2019. "Dynamic Factor Models," PSE Working Papers halshs-02262202, HAL.
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    20. Joseph Fairchild & Jun Ma & Shu Wu, 2015. "Understanding Housing Market Volatility," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 47(7), pages 1309-1337, October.
    21. Huang, MeiChi, 2024. "A greater crisis? Investigating MSA-level housing markets during the COVID-19 pandemic," Research in International Business and Finance, Elsevier, vol. 71(C).
    22. Helmut Lütkepohl, 2014. "Structural Vector Autoregressive Analysis in a Data Rich Environment: A Survey," Discussion Papers of DIW Berlin 1351, DIW Berlin, German Institute for Economic Research.
    23. Shikha Gupta & Nand Kumar, 2022. "Globalization Versus Slowbalization: A Perspective on the Indian Economy," Journal of South Asian Development, , vol. 17(1), pages 84-107, April.
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    29. Petre Caraiani & Rangan Gupta & Chi Keung Marco Lau & Hardik A. Marfatia, 2019. "Effects of Conventional and Unconventional Monetary Policy Shocks on Housing Prices in the United States: The Role of Sentiment," Working Papers 201953, University of Pretoria, Department of Economics.
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    32. Kirstin Hubrich, 2012. "Comment on "Global House Price Fluctuations: Synchronization and Determinants"," NBER Chapters, in: NBER International Seminar on Macroeconomics 2012, pages 167-173, National Bureau of Economic Research, Inc.
    33. Sakemoto, Ryuta, 2018. "Co-movement between equity and bond markets," International Review of Economics & Finance, Elsevier, vol. 53(C), pages 25-38.
    34. Heaton, Chris & Solo, Victor, 2012. "Estimation of high-dimensional linear factor models with grouped variables," Journal of Multivariate Analysis, Elsevier, vol. 105(1), pages 348-367.
    35. Marcel Förster & Peter Tillmann, 2013. "Local Inflation: Reconsidering the International Comovement of Inflation," MAGKS Papers on Economics 201303, Philipps-Universität Marburg, Faculty of Business Administration and Economics, Department of Economics (Volkswirtschaftliche Abteilung).
    36. Olfa Kaabia & Ilyes Abid, 2012. "Theoretical Channels of International,Transmission During the Subprime Crisis to OCDE Countries : A FAVAR Model Under Bayesian Framework," EconomiX Working Papers 2012-40, University of Paris Nanterre, EconomiX.
    37. Marcel Förster & Peter Tillmann, 2014. "Reconsidering the International Comovement of Inflation," Open Economies Review, Springer, vol. 25(5), pages 841-863, November.
    38. MeiChi Huang, 2014. "Monetary policy implications of housing shift-contagion across regional markets," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 38(4), pages 589-608, October.
    39. Sandro M. Reia & P. Suresh C. Rao & Marc Barthelemy & Satish V. Ukkusuri, 2022. "Spatial structure of city population growth," Nature Communications, Nature, vol. 13(1), pages 1-10, December.

  27. Bai, Jushan & Ng, Serena, 2010. "Panel Unit Root Tests With Cross-Section Dependence: A Further Investigation," Econometric Theory, Cambridge University Press, vol. 26(4), pages 1088-1114, August.

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    1. Emirmahmutoglu, Furkan & Omay, Tolga, 2014. "Reexamining the PPP hypothesis: A nonlinear asymmetric heterogeneous panel unit root test," Economic Modelling, Elsevier, vol. 40(C), pages 184-190.
    2. Kurt A. Hafner & David Mayer-Foulkes, 2012. "Fertility, Human Development, and Economic Growth: Long- term Short-term Causal Links," DEGIT Conference Papers c017_024, DEGIT, Dynamics, Economic Growth, and International Trade.
    3. Rafaty, R. & Dolphin, G. & Pretis, F., 2020. "Carbon pricing and the elasticity of CO2 emissions," Cambridge Working Papers in Economics 20116, Faculty of Economics, University of Cambridge.
    4. Gioldasis, Georgios & Musolesi, Antonio & Simioni, Michel, 2023. "Interactive R&D spillovers: An estimation strategy based on forecasting-driven model selection," International Journal of Forecasting, Elsevier, vol. 39(1), pages 144-169.
    5. Ghoshray, Atanu & Monfort, Mercedes & Ordóñez, Javier, 2020. "Re-examining inequality persistence," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 14, pages 1-9.
    6. Xingwu Zhou & Martin Solberger, 2017. "A Lagrange Multiplier-Type Test for Idiosyncratic Unit Roots in the Exact Factor Model," Journal of Time Series Analysis, Wiley Blackwell, vol. 38(1), pages 22-50, January.
    7. Joakim Westerlund & Mehdi Hosseinkouchack, 2016. "Modified CADF and CIPS Panel Unit Root Statistics with Standard Chi-squared and Normal Limiting Distributions," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 78(3), pages 347-364, June.
    8. Westerlund, Joakim & Larsson, Rolf, 2015. "New tools for understanding the local asymptotic power of panel unit root tests," Journal of Econometrics, Elsevier, vol. 188(1), pages 59-93.
    9. Afees A. Salisu, 2018. "United we stand, divided we fall: A PANICCA test evidence for stock exchanges in OECD," Working Papers 049, Centre for Econometric and Allied Research, University of Ibadan.
    10. Ostadzad, Ali Hossein, 2022. "Innovation and carbon emissions: Fixed-effects panel threshold model estimation for renewable energy," Renewable Energy, Elsevier, vol. 198(C), pages 602-617.
    11. Hamit-Haggar, Mahamat, 2016. "Clean energy-growth nexus in sub-Saharan Africa: Evidence from cross-sectionally dependent heterogeneous panel with structural breaks," Renewable and Sustainable Energy Reviews, Elsevier, vol. 57(C), pages 1237-1244.
    12. Hamit-Haggar, Mahamat, 2012. "Greenhouse gas emissions, energy consumption and economic growth: A panel cointegration analysis from Canadian industrial sector perspective," Energy Economics, Elsevier, vol. 34(1), pages 358-364.
    13. Feng, Gen-Fu & Wang, Quan-Jing & Chu, Yin & Wen, Jun & Chang, Chun-Ping, 2021. "Does the shale gas boom change the natural gas price-production relationship? Evidence from the U.S. market," Energy Economics, Elsevier, vol. 93(C).
    14. Carrion-i-Silvestre Josep Lluis & Surdeanu Laura, 2011. "Panel Cointegration Rank Testing with Cross-Section Dependence," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 15(4), pages 1-43, September.
    15. Amornthum, Somchai & Bonham, Carl S., 2011. "Financial integration in the pacific basin region: RIP by PANIC attack?," Journal of International Money and Finance, Elsevier, vol. 30(6), pages 1019-1033, October.
    16. Quynh Chau Pham Holland & Benjamin Liu & Eduardo Roca, 2019. "International funding cost and heterogeneous mortgage interest-rate pass-through: a bank-level analysis," Empirical Economics, Springer, vol. 57(4), pages 1255-1289, October.
    17. Pedroni, Peter L. & Vogelsang, Timothy J. & Wagner, Martin & Westerlund, Joakim, 2015. "Nonparametric rank tests for non-stationary panels," Journal of Econometrics, Elsevier, vol. 185(2), pages 378-391.
    18. NguyenHuu, Tams & Karaman Örsal, Deniz Dilan, 2020. "A new and benign hegemon on the horizon? The Chinese century and growth in the Global South," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 14, pages 1-35.
    19. Stephan Smeekes & Joakim Westerlund, 2019. "Robust block bootstrap panel predictability tests," Econometric Reviews, Taylor & Francis Journals, vol. 38(9), pages 1089-1107, October.
    20. Bin Peng & Giovanni Forchini, 2012. "Consistent Estimation of Panel Data Models with a Multi-factor Error Structure," School of Economics Discussion Papers 0112, School of Economics, University of Surrey.
    21. Liu, Yanbo & Phillips, Peter C. B. & Yu, Jun, 2022. "A Panel Clustering Approach to Analyzing Bubble Behavior," Economics and Statistics Working Papers 1-2022, Singapore Management University, School of Economics.
    22. Atanu Ghoshray & Issam Malki, 2021. "The share of the global energy mix: Signs of convergence?," Bulletin of Economic Research, Wiley Blackwell, vol. 73(1), pages 34-50, January.
    23. Verena Dominique Kouassi & Hongyi Xu & Chukwunonso Philip Bosah & Twum Edwin Ayimadu & Mbula Ngoy Nadege, 2024. "Sustainable Energy Usage for Africa: The Role of Foreign Direct Investment in Green Growth Practices to Mitigate CO 2 Emissions," Energies, MDPI, vol. 17(15), pages 1-23, August.
    24. Özçelik, Emre & Tuğan, Mustafa, 2019. "Terms of Trade Effects of Productivity Shocks and Economic Development," MPRA Paper 91473, University Library of Munich, Germany.
    25. Uçak Harun & Çelik Saliha & Kurt Hakan, 2023. "Land Resources and Agricultural Exports Nexus," Folia Oeconomica Stetinensia, Sciendo, vol. 23(1), pages 284-300, June.
    26. Guerello, Chiara & Tronzano, Marco, 2020. "“Global factors, international spillovers, and the term structure of interest rates: New evidence for Asian Countries”," The North American Journal of Economics and Finance, Elsevier, vol. 51(C).
    27. Degye Goshu, 2016. "The Dynamics of Food Price Convergence in Ethiopia," Ethiopian Journal of Economics, Ethiopian Economics Association, vol. 24(01), April.
    28. Afees A. Salisu & Umar B. Ndako, 2017. "Modelling stock price-exchange rate nexus in OECD countries - A new perspective," Working Papers 038, Centre for Econometric and Allied Research, University of Ibadan.
    29. Hu, Yang & Valera, Harold Glenn A. & Oxley, Les, 2019. "Market efficiency of the top market-cap cryptocurrencies: Further evidence from a panel framework," Finance Research Letters, Elsevier, vol. 31(C), pages 138-145.
    30. Musolesi, Antonio & Prete, Giada Andrea & Simioni, Michel, 2022. "Is infrastructure capital really productive? Non-parametric modeling and data-driven model selection in a cross-sectionally dependent panel framework," TSE Working Papers 22-1335, Toulouse School of Economics (TSE).
    31. Nupur Nirola & Sohini Sahu, 2020. "Revisiting the Wagner’s law for Indian States using second generation panel cointegration," Economic Change and Restructuring, Springer, vol. 53(2), pages 241-263, May.
    32. Xie, Zixiong & Chen, Shyh-Wei & Wu, An-Chi, 2020. "The foreign exchange and stock market nexus: New international evidence," International Review of Economics & Finance, Elsevier, vol. 67(C), pages 240-266.
    33. Gregori, Tullio & Tiwari, Aviral Kumar, 2020. "Do urbanization, income, and trade affect electricity consumption across Chinese provinces?," Energy Economics, Elsevier, vol. 89(C).
    34. Shiyun Cao & Qiankun Zhou, 2022. "Common Correlated Effects Estimation for Dynamic Heterogeneous Panels with Non-Stationary Multi-Factor Error Structures," Econometrics, MDPI, vol. 10(3), pages 1-27, August.
    35. M. Hashem Pesaran & L. Vanessa Smith & Takashi Yamagata, 2008. "Panel Unit Root Tests in the Presence of a Multifactor Error Structure," CESifo Working Paper Series 2193, CESifo.
    36. Anindya Banerjee & Josep Lluís Carrion-i-Silvestre, 2006. "Cointegration in Panel Data with Breaks and Cross-Section Dependence," Economics Working Papers ECO2006/5, European University Institute.
    37. Tolga Omay & Mübariz Hasanov & Yongcheol Shin, 2018. "Testing for Unit Roots in Dynamic Panels with Smooth Breaks and Cross-Sectionally Dependent Errors," Computational Economics, Springer;Society for Computational Economics, vol. 52(1), pages 167-193, June.
    38. Saban Nazlioglu & Cagin Karul, 2024. "Testing for Granger causality in heterogeneous panels with cross-sectional dependence," Empirical Economics, Springer, vol. 67(4), pages 1541-1579, October.
    39. Becheri, I.G., 2012. "Limiting experiments for panel-data and jump-diffusion models," Other publications TiSEM 7e53f6cf-fab1-4f86-9e5d-b, Tilburg University, School of Economics and Management.
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    87. Travaglini, Guido, 2010. "Dynamic Econometric Testing of Climate Change and of its Causes," MPRA Paper 23600, University Library of Munich, Germany.
    88. Uhr, Daniel de Abreu Pereira & Paula, Silvio da Rosa & Fialho, Mariana & Passos, Marcelo de Oliveira & Uhr, Julia Gallego Ziero, 2020. "Economic Growth Channels from Human Capital: A Dynamic Panel Analysis for Brazil," Revista Brasileira de Economia - RBE, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil), vol. 74(1), March.
    89. Lukoianove, Tatiana & Agarwal, James & Osiyevskyy, Oleksiy, 2022. "Modeling a country's political environment using dynamic factor analysis (DFA): A new methodology for IB research," Journal of World Business, Elsevier, vol. 57(5).
    90. Dima Bogdan & Dima Ştefana Maria, 2017. "Does Corporate Tax Burden Affect Growth? Evidences from OECD Countries," Journal of Heterodox Economics, Sciendo, vol. 4(2), pages 51-80, December.
    91. Nguyen Thi Tuong Anh & Hung Quang Doan & Tuan Anh Bui & Nam Hoang Vu & Duong Thuy Thanh Le, 2022. "A Revisit of Motives for Chinese Outward Foreign Direct Investment: The Role of the Institution in Host Countries," SAGE Open, , vol. 12(4), pages 21582440221, December.
    92. Trapani, Lorenzo, 2013. "On bootstrapping panel factor series," Journal of Econometrics, Elsevier, vol. 172(1), pages 127-141.

  29. Gorodnichenko, Yuriy & Ng, Serena, 2010. "Estimation of DSGE models when the data are persistent," Journal of Monetary Economics, Elsevier, vol. 57(3), pages 325-340, April.
    See citations under working paper version above.
  30. Ng Serena & Bai Jushan, 2009. "Selecting Instrumental Variables in a Data Rich Environment," Journal of Time Series Econometrics, De Gruyter, vol. 1(1), pages 1-34, April.

    Cited by:

    1. Tae-Hwy Lee & Tao Wang, 2023. "Estimation and Testing of Forecast Rationality with Many Moments," Working Papers 202307, University of California at Riverside, Department of Economics.
    2. Tomohiro Ando & Naoya Sueishi, 2019. "On the Convergence Rate of the SCAD-Penalized Empirical Likelihood Estimator," Econometrics, MDPI, vol. 7(1), pages 1-14, March.
    3. Ludovica Gambaro & Guido Neidhöfer & C. Katharina Spieß, 2019. "The Effect of Early Childhood Education and Care Services on the Social Integration of Refugee Families," Discussion Papers of DIW Berlin 1828, DIW Berlin, German Institute for Economic Research.
    4. Christoph Breunig & Enno Mammen & Anna Simoni, 2020. "Ill-posed estimation in high-dimensional models with instrumental variables," Post-Print hal-03089879, HAL.
    5. Stephane Dees & M. Hashem Pesaran & L. Vanessa Smith & Ron P. Smith, 2009. "Identification of New Keynesian Phillips Curves from a Global Perspective," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 41(7), pages 1481-1502, October.
    6. Bayar, Omer, 2018. "Weak instruments and estimated monetary policy rules," Journal of Macroeconomics, Elsevier, vol. 58(C), pages 308-317.
    7. Geoffrey R. Dunbar & Casey Jones, 2018. "The (Un)Demand for Money in Canada," Staff Working Papers 18-20, Bank of Canada.
    8. Berriel, Tiago & Medeiros, Marcelo C. & Sena, Marcelo J., 2016. "Instrument selection for estimation of a forward-looking Phillips Curve," Economics Letters, Elsevier, vol. 145(C), pages 123-125.
    9. Scheufele, Rolf, 2008. "Evaluating the German (New Keynesian) Phillips Curve," IWH Discussion Papers 10/2008, Halle Institute for Economic Research (IWH).
    10. Alexandre Belloni & Victor Chernozhukov & Christian Hansen, 2013. "High dimensional methods and inference on structural and treatment effects," CeMMAP working papers CWP59/13, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    11. Gehrig, Thomas & Iannino, Maria Chiara & Unger, Stephan, 2024. "Social responsibility and bank resiliency," Journal of Financial Stability, Elsevier, vol. 70(C).
    12. Cheng, Xu & Liao, Zhipeng, 2015. "Select the valid and relevant moments: An information-based LASSO for GMM with many moments," Journal of Econometrics, Elsevier, vol. 186(2), pages 443-464.
    13. Max-Sebastian Dov`i, 2021. "Inference on the New Keynesian Phillips Curve with Very Many Instrumental Variables," Papers 2101.09543, arXiv.org, revised Mar 2021.
    14. Hao Hao & Bai Huang & Tae-Hwy Lee, 2022. "Model Averaging Estimation of Panel Data Models with Many Instruments and Boosting," Working Papers 202212, University of California at Riverside, Department of Economics.
    15. Belloni, Alexandre & Hansen, Christian & Newey, Whitney, 2022. "High-dimensional linear models with many endogenous variables," Journal of Econometrics, Elsevier, vol. 228(1), pages 4-26.
    16. Victor Chernozhukov & Ivan Fernandez-Val & Chen Huang & Weining Wang, 2024. "Arellano-bond lasso estimator for dynamic linear panel models," CeMMAP working papers 09/24, Institute for Fiscal Studies.
    17. Hansen, Christian & Kozbur, Damian, 2014. "Instrumental variables estimation with many weak instruments using regularized JIVE," Journal of Econometrics, Elsevier, vol. 182(2), pages 290-308.
    18. Bhatt, Vipul & Kishor, Kundan & Marfatia, Hardik, 2017. "Estimating excess sensitivity and habit persistence in consumption using Greenbook forecast as an instrument," MPRA Paper 79748, University Library of Munich, Germany.
    19. Alexandre Belloni & Victor Chernozhukov & Christian Hansen, 2010. "LASSO Methods for Gaussian Instrumental Variables Models," Papers 1012.1297, arXiv.org, revised Feb 2011.
    20. Gambaro, Ludovica & Neidhöfer, Guido & Spiess, C. Katharina, 2021. "The effect of early childhood education and care services on the integration of refugee families," Labour Economics, Elsevier, vol. 72(C).
    21. Xu Cheng & Zhipeng Liao, 2012. "Select the Valid and Relevant Moments: A One-Step Procedure for GMM with Many Moments," PIER Working Paper Archive 12-045, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.
    22. Sirisankanan, Aeggarchat, 2023. "The Response of Household Savings to Anticipated Income Changes: Natural Experiments Using Natural and Non-Natural Factors," Journal of Economic Development, The Economic Research Institute, Chung-Ang University, vol. 48(2), pages 1-31, June.
    23. Omer Bayar, 2022. "Reducing large datasets to improve the identification of estimated policy rules," Empirical Economics, Springer, vol. 63(1), pages 113-140, July.
    24. Vipul Bhatt & N. Kundan Kishor & Hardik Marfatia, 2020. "Estimating Excess Sensitivity and Habit Persistence in Consumption Using Greenbook Forecasts," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 82(2), pages 257-284, April.

  31. Ng, Serena & Lewbel, Arthur, 2009. "Editors' Report 2008," Journal of Business & Economic Statistics, American Statistical Association, vol. 27(4), pages 566-566.

    Cited by:

    1. Chor, Elise & Andresen, Martin Eckhoff & Kalil, Ariel, 2016. "The impact of universal prekindergarten on family behavior and child outcomes," Economics of Education Review, Elsevier, vol. 55(C), pages 168-181.

  32. Bai, Jushan & Kao, Chihwa & Ng, Serena, 2009. "Panel cointegration with global stochastic trends," Journal of Econometrics, Elsevier, vol. 149(1), pages 82-99, April.
    See citations under working paper version above.
  33. Jushan Bai & Serena Ng, 2009. "Boosting diffusion indices," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 24(4), pages 607-629.

    Cited by:

    1. Jean-Armand Gnagne & Kevin Moran, 2020. "Forecasting Bank Failures in a Data-Rich Environment," Working Papers 20-13, Chair in macroeconomics and forecasting, University of Quebec in Montreal's School of Management.
    2. Francisco Dias & Maximiano Pinheiro & António Rua, 2010. "Forecasting using targeted diffusion indexes," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 29(3), pages 341-352.
    3. Guilherme Schultz Lindenmeyer & Hudson Silva Torrent, 2024. "Boosting and Predictability of Macroeconomic Variables: Evidence from Brazil," Computational Economics, Springer;Society for Computational Economics, vol. 64(1), pages 377-409, July.
    4. Jack Fosten, 2016. "Model selection with factors and variables," University of East Anglia School of Economics Working Paper Series 2016-07, School of Economics, University of East Anglia, Norwich, UK..
    5. Teresa Buchen & Klaus Wohlrabe, 2013. "Assessing the Macroeconomic Forecasting Performance of Boosting - Evidence for the United States, the Euro Area, and Germany," CESifo Working Paper Series 4148, CESifo.
    6. Pierdzioch Christian & Gupta Rangan, 2020. "Uncertainty and Forecasts of U.S. Recessions," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 24(4), pages 1-20, September.
    7. Shahram Fattahi & Kiomars Sohaili & Hamed Monkaresi & Fatemeh Mehrabi, 2017. "Modelling and Forecasting Recessions in Oil-exporting Countries: The Case of Iran," International Journal of Economics and Financial Issues, Econjournals, vol. 7(3), pages 569-574.
    8. Lahiri, Kajal & Yang, Cheng, 2022. "Boosting tax revenues with mixed-frequency data in the aftermath of COVID-19: The case of New York," International Journal of Forecasting, Elsevier, vol. 38(2), pages 545-566.
    9. Philippe Goulet Coulombe & Maxime Leroux & Dalibor Stevanovic & St'ephane Surprenant, 2020. "Macroeconomic Data Transformations Matter," Papers 2008.01714, arXiv.org, revised Mar 2021.
    10. Charles Rahal, 2015. "Housing Market Forecasting with Factor Combinations," Discussion Papers 15-05, Department of Economics, University of Birmingham.
    11. Chen, Qitong & Hong, Yongmiao & Li, Haiqi, 2024. "Time-varying forecast combination for factor-augmented regressions with smooth structural changes," Journal of Econometrics, Elsevier, vol. 240(1).
    12. Frenger, Monika & Emrich, Eike & Geber, Sebastian & Follert, Florian & Pierdzioch, Christian, 2019. "The influence of performance parameters on market value," Working Papers of the European Institute for Socioeconomics 30, European Institute for Socioeconomics (EIS), Saarbrücken.
    13. Alessandro Giovannelli & Tommaso Proietti, 2015. "On the Selection of Common Factors for Macroeconomic Forecasting," CEIS Research Paper 332, Tor Vergata University, CEIS, revised 12 Mar 2015.
    14. Rossi, Lorenza & Zanetti Chini, Emilio, 2021. "Temporal disaggregation of business dynamics: New evidence for U.S. economy," Journal of Macroeconomics, Elsevier, vol. 69(C).
    15. Kai Carstensen & Steffen Henzel & Johannes Mayr & Klaus Wohlrabe, 2009. "IFOCAST: Methoden der ifo-Kurzfristprognose," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 62(23), pages 15-28, December.
    16. Maehashi, Kohei & Shintani, Mototsugu, 2020. "Macroeconomic forecasting using factor models and machine learning: an application to Japan," Journal of the Japanese and International Economies, Elsevier, vol. 58(C).
    17. Souhaib Ben Taieb & Rob J Hyndman, 2014. "Boosting multi-step autoregressive forecasts," Monash Econometrics and Business Statistics Working Papers 13/14, Monash University, Department of Econometrics and Business Statistics.
    18. Robert Lehmann & Klaus Wohlrabe, 2016. "Boosting and Regional Economic Forecasting: The Case of Germany," CESifo Working Paper Series 6157, CESifo.
    19. Emrich Eike & Pierdzioch Christian, 2016. "Public Goods, Private Consumption, and Human Capital: Using Boosted Regression Trees to Model Volunteer Labour Supply," Review of Economics, De Gruyter, vol. 67(3), pages 263-283, December.
    20. Norman R. Swanson & Weiqi Xiong & Xiye Yang, 2020. "Predicting interest rates using shrinkage methods, real‐time diffusion indexes, and model combinations," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 35(5), pages 587-613, August.
    21. Lenza, Michele & Moutachaker, Inès & Paredes, Joan, 2023. "Density forecasts of inflation: a quantile regression forest approach," CEPR Discussion Papers 18298, C.E.P.R. Discussion Papers.
    22. Lorenzo Boldrini & Eric Hillebrand, 2015. "The Forecasting Power of the Yield Curve, a Supervised Factor Model Approach," CREATES Research Papers 2015-39, Department of Economics and Business Economics, Aarhus University.
    23. Saiz, Lorena & Ashwin, Julian & Kalamara, Eleni, 2021. "Nowcasting euro area GDP with news sentiment: a tale of two crises," Working Paper Series 2616, European Central Bank.
    24. Jörg Döpke & Ulrich Fritsche & Christian Pierdzioch, 2015. "Predicting Recessions With Boosted Regression Trees," Working Papers 2015-004, The George Washington University, Department of Economics, H. O. Stekler Research Program on Forecasting.
    25. Tu, Yundong & Wang, Siwei, 2024. "Selection inconsistency for factor-augmented regressions," Economics Letters, Elsevier, vol. 241(C).
    26. Marcellino, Massimiliano & Kapetanios, George & Carriero, Andrea, 2009. "Forecasting Large Datasets with Bayesian Reduced Rank Multivariate Models," CEPR Discussion Papers 7446, C.E.P.R. Discussion Papers.
    27. Wei Lin & Zhentao Shi & Yishu Wang & Ting Hin Yan, 2023. "Unfolding Beijing in a Hedonic Way," Computational Economics, Springer;Society for Computational Economics, vol. 61(1), pages 317-340, January.
    28. Pesaran, M.H. & Pick, A. & Timmermann, A., 2009. "Variable Selection and Inference for Multi-period Forecasting Problems," Cambridge Working Papers in Economics 0901, Faculty of Economics, University of Cambridge.
    29. Christian Pierdzioch & Marian Risse & Sebastian Rohloff, 2016. "A boosting approach to forecasting gold and silver returns: economic and statistical forecast evaluation," Applied Economics Letters, Taylor & Francis Journals, vol. 23(5), pages 347-352, March.
    30. Fosten, Jack, 2019. "CO2 emissions and economic activity: A short-to-medium run perspective," Energy Economics, Elsevier, vol. 83(C), pages 415-429.
    31. Kim, Hyun Hak & Swanson, Norman R., 2018. "Mining big data using parsimonious factor, machine learning, variable selection and shrinkage methods," International Journal of Forecasting, Elsevier, vol. 34(2), pages 339-354.
    32. Peter C. B. Phillips & Zhentao Shi, 2021. "Boosting: Why You Can Use The Hp Filter," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 62(2), pages 521-570, May.
    33. Ziwei Mei & Zhentao Shi & Peter C. B. Phillips, 2022. "The boosted HP filter is more general than you might think," Cowles Foundation Discussion Papers 2348, Cowles Foundation for Research in Economics, Yale University.
    34. Robert-Paul Berben & Rajni Rasiawan & Jasper de Winter, 2025. "Forecasting Dutch inflation using machine learning methods," Working Papers 828, DNB.
    35. Damian Kozbur, 2017. "Sharp convergence rates for forward regression in high-dimensional sparse linear models," ECON - Working Papers 253, Department of Economics - University of Zurich, revised Apr 2018.
    36. Buchen, Teresa & Wohlrabe, Klaus, 2011. "Forecasting with many predictors: Is boosting a viable alternative?," Economics Letters, Elsevier, vol. 113(1), pages 16-18, October.
    37. Yousuf, Kashif & Ng, Serena, 2021. "Boosting high dimensional predictive regressions with time varying parameters," Journal of Econometrics, Elsevier, vol. 224(1), pages 60-87.
    38. Cheng, Xu & Hansen, Bruce E., 2015. "Forecasting with factor-augmented regression: A frequentist model averaging approach," Journal of Econometrics, Elsevier, vol. 186(2), pages 280-293.
    39. 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.
    40. Catherine Doz & Peter Fuleky, 2019. "Dynamic Factor Models," PSE Working Papers halshs-02262202, HAL.
    41. Zhentao Shi & Jingyi Huang, 2019. "Forward-Selected Panel Data Approach for Program Evaluation," Papers 1908.05894, arXiv.org, revised Apr 2021.
    42. Kevin Moran & Simplice Aimé Nono & Imad Rherrad, 2018. "Forecasting with Many Predictors: How Useful are National and International Confidence Data?," Cahiers de recherche 1814, Centre de recherche sur les risques, les enjeux économiques, et les politiques publiques.
    43. Ziwei Mei & Peter C. B. Phillips & Zhentao Shi, 2024. "The boosted Hodrick‐Prescott filter is more general than you might think," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 39(7), pages 1260-1281, November.
    44. Shi, Zhentao & Huang, Jingyi, 2023. "Forward-selected panel data approach for program evaluation," Journal of Econometrics, Elsevier, vol. 234(2), pages 512-535.
    45. Norman R. Swanson, 2016. "Comment," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 34(3), pages 348-353, July.
    46. Domenico Giannone & Michele Lenza & Giorgio E. Primiceri, 2021. "Economic Predictions With Big Data: The Illusion of Sparsity," Econometrica, Econometric Society, vol. 89(5), pages 2409-2437, September.
    47. Kim, Jaeho, 2015. "Bayesian Inference in a Non-linear/Non-Gaussian Switching State Space Model: Regime-dependent Leverage Effect in the U.S. Stock Market," MPRA Paper 67153, University Library of Munich, Germany.
    48. Matteo Luciani, 2011. "Forecasting with Approximate Dynamic Factor Models: the Role of Non-Pervasive Shocks," Working Papers ECARES ECARES 2011‐022, ULB -- Universite Libre de Bruxelles.
    49. Luca Margaritella & Joakim Westerlund, 2023. "Using information criteria to select averages in CCE," The Econometrics Journal, Royal Economic Society, vol. 26(3), pages 405-421.
    50. Pierdzioch, Christian & Risse, Marian & Rohloff, Sebastian, 2016. "A boosting approach to forecasting the volatility of gold-price fluctuations under flexible loss," Resources Policy, Elsevier, vol. 47(C), pages 95-107.
    51. Akgun, Oguzhan & Pirotte, Alain & Urga, Giovanni, 2020. "Forecasting using heterogeneous panels with cross-sectional dependence," International Journal of Forecasting, Elsevier, vol. 36(4), pages 1211-1227.
    52. Norman R. Swanson & Weiqi Xiong, 2018. "Big data analytics in economics: What have we learned so far, and where should we go from here?," Canadian Journal of Economics, Canadian Economics Association, vol. 51(3), pages 695-746, August.
    53. Damian Kozbur, 2015. "Testing-Based Forward Model Selection," ECON - Working Papers 283, Department of Economics - University of Zurich, revised Apr 2018.
    54. Hande Karabiyik & Joakim Westerlund, 2021. "Forecasting using cross-section average–augmented time series regressions," The Econometrics Journal, Royal Economic Society, vol. 24(2), pages 315-333.
    55. Travis J. Berge, 2017. "Understanding Survey Based Inflation Expectations," Finance and Economics Discussion Series 2017-046, Board of Governors of the Federal Reserve System (U.S.).
    56. Jean Armand Gnagne & Kevin Moran, 2018. "Monitoring Bank Failures in a Data-Rich Environment," Cahiers de recherche 1815, Centre de recherche sur les risques, les enjeux économiques, et les politiques publiques.
    57. Mittnik, Stefan & Robinzonov, Nikolay & Spindler, Martin, 2015. "Stock market volatility: Identifying major drivers and the nature of their impact," Journal of Banking & Finance, Elsevier, vol. 58(C), pages 1-14.
    58. Guilherme Lindenmeyer & Pedro Pablo Skorin & Hudson da Silva Torrent, 2021. "Using boosting for forecasting electric energy consumption during a recession: a case study for the Brazilian State Rio Grande do Sul," Letters in Spatial and Resource Sciences, Springer, vol. 14(2), pages 111-128, August.
    59. Hyun Hak Kim, 2013. "Forecasting Macroeconomic Variables Using Data Dimension Reduction Methods: The Case of Korea," Working Papers 2013-26, Economic Research Institute, Bank of Korea.
    60. Zeng, Jing, 2014. "Forecasting Aggregates with Disaggregate Variables: Does boosting help to select the most informative predictors?," VfS Annual Conference 2014 (Hamburg): Evidence-based Economic Policy 100310, Verein für Socialpolitik / German Economic Association.
    61. Liu, Yang & Swanson, Norman R., 2024. "An assessment of the marginal predictive content of economic uncertainty indexes and business conditions predictors," International Journal of Forecasting, Elsevier, vol. 40(4), pages 1391-1409.
    62. Fan, Jianqing & Xue, Lingzhou & Yao, Jiawei, 2017. "Sufficient forecasting using factor models," Journal of Econometrics, Elsevier, vol. 201(2), pages 292-306.
    63. Shi, Zhentao, 2016. "Econometric estimation with high-dimensional moment equalities," Journal of Econometrics, Elsevier, vol. 195(1), pages 104-119.
    64. Antoine A. Djogbenou, 2017. "Model Selection In Factor-augmented Regressions With Estimated Factors," Working Paper 1391, Economics Department, Queen's University.
    65. Jing Zeng, 2014. "Forecasting Aggregates with Disaggregate Variables: Does Boosting Help to Select the Most Relevant Predictors?," Working Paper Series of the Department of Economics, University of Konstanz 2014-20, Department of Economics, University of Konstanz.
    66. Tan, Xueping & Sirichand, Kavita & Vivian, Andrew & Wang, Xinyu, 2022. "Forecasting European carbon returns using dimension reduction techniques: Commodity versus financial fundamentals," International Journal of Forecasting, Elsevier, vol. 38(3), pages 944-969.
    67. Kim, Hyun Hak & Swanson, Norman R., 2014. "Forecasting financial and macroeconomic variables using data reduction methods: New empirical evidence," Journal of Econometrics, Elsevier, vol. 178(P2), pages 352-367.
    68. Kihwan Kim & Hyun Hak Kim & Norman R. Swanson, 2023. "Mixing mixed frequency and diffusion indices in good times and in bad: an assessment based on historical data around the great recession of 2008," Empirical Economics, Springer, vol. 64(3), pages 1421-1469, March.
    69. Embaye, Weldensie T. & Zereyesus, Yacob A., 2017. "Measuring the value of housing services in household surveys: an application of machine learning approach," 2017 Annual Meeting, February 4-7, 2017, Mobile, Alabama 252851, Southern Agricultural Economics Association.
    70. Damian Kozbur, 2013. "Inference in additively separable models with a high-dimensional set of conditioning variables," ECON - Working Papers 284, Department of Economics - University of Zurich, revised Apr 2018.
    71. Ng, Serena, 2013. "Variable Selection in Predictive Regressions," Handbook of Economic Forecasting, in: G. Elliott & C. Granger & A. Timmermann (ed.), Handbook of Economic Forecasting, edition 1, volume 2, chapter 0, pages 752-789, Elsevier.
    72. Emrich, Eike & Pierdzioch, Christian, 2015. "Public goods, private consumption, and human-capital formation: On the economics of volunteer labour supply," Working Papers of the European Institute for Socioeconomics 14, European Institute for Socioeconomics (EIS), Saarbrücken.
    73. Jianqing Fan & Kunpeng Li & Yuan Liao, 2020. "Recent Developments on Factor Models and its Applications in Econometric Learning," Papers 2009.10103, arXiv.org.
    74. Wolfgang Nierhaus & Timo Wollmershäuser, 2016. "ifo Konjunkturumfragen und Konjunkturanalyse: Band II," ifo Forschungsberichte, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, number 72.
    75. Peter C.B. Phillips & Zhentao Shi, 2019. "Boosting the Hodrick-Prescott Filter," Cowles Foundation Discussion Papers 2192, Cowles Foundation for Research in Economics, Yale University.
    76. Lehmann, Robert & Wohlrabe, Klaus, 2015. "The role of component-wise boosting for regional economic forecasting," MPRA Paper 68186, University Library of Munich, Germany, revised 03 Dec 2015.
    77. Paolo Fornaro & Henri Luomaranta, 2020. "Nowcasting Finnish real economic activity: a machine learning approach," Empirical Economics, Springer, vol. 58(1), pages 55-71, January.
    78. Lorenzo Boldrini & Eric Hillebrand, 2015. "Supervision in Factor Models Using a Large Number of Predictors," CREATES Research Papers 2015-38, Department of Economics and Business Economics, Aarhus University.

  34. Sydney C. Ludvigson & Serena Ng, 2009. "Macro Factors in Bond Risk Premia," The Review of Financial Studies, Society for Financial Studies, vol. 22(12), pages 5027-5067, December.
    See citations under working paper version above.
  35. Bai, Jushan & Ng, Serena, 2008. "Forecasting economic time series using targeted predictors," Journal of Econometrics, Elsevier, vol. 146(2), pages 304-317, October.

    Cited by:

    1. Li, W. & Fok, D. & Franses, Ph.H.B.F., 2019. "Forecasting own brand sales: Does incorporating competition help?," Econometric Institute Research Papers EI2019-35, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    2. Özen, Kadir & Yıldırım, Dilem, 2021. "Application of bagging in day-ahead electricity price forecasting and factor augmentation," Energy Economics, Elsevier, vol. 103(C).
    3. Oguzhan Cepni & I. Ethem Guney & Norman R. Swanson, 2020. "Forecasting and nowcasting emerging market GDP growth rates: The role of latent global economic policy uncertainty and macroeconomic data surprise factors," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 39(1), pages 18-36, January.
    4. Evren Erdogan Cosar & Sevim Kosem & Cagri Sarikaya, 2013. "Do We Really Need Filters In Estimating Output Gap? : Evidence From Turkey," Working Papers 1333, Research and Monetary Policy Department, Central Bank of the Republic of Turkey.
    5. Marine Carrasco & Barbara Rossi, 2016. "In-sample inference and forecasting in misspecified factor models," Economics Working Papers 1530, Department of Economics and Business, Universitat Pompeu Fabra.
    6. Logan Kelly, 2011. "The current stock of money: an aggregation theoretic measure of narrowly defined money," Applied Economics Letters, Taylor & Francis Journals, vol. 18(7), pages 659-664.
    7. Gogas, Periklis & Papadimitriou, Theophilos & Plakandaras, Vasilios & Gupta, Rangan, 2019. "The Informational Content of the Term-Spread in Forecasting the U.S. Inflation Rate: A Nonlinear Approach," DUTH Research Papers in Economics 3-2016, Democritus University of Thrace, Department of Economics.
    8. Jan Pruser & Florian Huber, 2023. "Nonlinearities in Macroeconomic Tail Risk through the Lens of Big Data Quantile Regressions," Papers 2301.13604, arXiv.org, revised Sep 2023.
    9. Carstensen, Kai & Heinrich, Markus & Reif, Magnus & Wolters, Maik H., 2020. "Predicting ordinary and severe recessions with a three-state Markov-switching dynamic factor model," International Journal of Forecasting, Elsevier, vol. 36(3), pages 829-850.
    10. Danilo Cascaldi-Garcia & Matteo Luciani & Michele Modugno, 2024. "Lessons from nowcasting GDP across the world," Chapters, in: Michael P. Clements & Ana Beatriz Galvão (ed.), Handbook of Research Methods and Applications in Macroeconomic Forecasting, chapter 8, pages 187-217, Edward Elgar Publishing.
    11. Sandra Eickmeier & Tim Ng, 2009. "Forecasting national activity using lots of international predictors: an application to New Zealand," Reserve Bank of New Zealand Discussion Paper Series DP2009/04, Reserve Bank of New Zealand.
    12. Francisco Dias & Maximiano Pinheiro & António Rua, 2010. "Forecasting using targeted diffusion indexes," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 29(3), pages 341-352.
    13. Carstensen, Kai & Bachmann, Rüdiger & Schneider, Martin & Lautenbacher, Stefan, 2018. "Uncertainty is Change," VfS Annual Conference 2018 (Freiburg, Breisgau): Digital Economy 181572, Verein für Socialpolitik / German Economic Association.
    14. Jens J. Krüger, 2021. "A Wavelet Evaluation of Some Leading Business Cycle Indicators for the German Economy," Journal of Business Cycle Research, Springer;Centre for International Research on Economic Tendency Surveys (CIRET), vol. 17(3), pages 293-319, December.
    15. Poncela, Pilar, 2021. "Dynamic factor models: does the specification matter?," DES - Working Papers. Statistics and Econometrics. WS 32210, Universidad Carlos III de Madrid. Departamento de Estadística.
    16. Niu, Linlin & Xu, Xiu & Chen, Ying, 2015. "An adaptive approach to forecasting three key macroeconomic variables for transitional China," BOFIT Discussion Papers 12/2015, Bank of Finland Institute for Emerging Economies (BOFIT).
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    Cited by:

    1. T. Ando & R. S. Tsay, 2009. "‘Model selection for generalized linear models with factor‐augmented predictors’," Applied Stochastic Models in Business and Industry, John Wiley & Sons, vol. 25(3), pages 243-246, May.
    2. Andrea Cipollini & George Kapetanios, 2008. "Forecasting Financial Crises and Contagion in Asia using Dynamic Factor Analysis," Center for Economic Research (RECent) 014, University of Modena and Reggio E., Dept. of Economics "Marco Biagi".
    3. Eichengreen, Barry & Mody, Ashoka & Nedeljkovic, Milan & Sarno, Lucio, 2012. "How the Subprime Crisis went global: Evidence from bank credit default swap spreads," Journal of International Money and Finance, Elsevier, vol. 31(5), pages 1299-1318.
    4. Olfa Kaabia & Ilyes Abid, 2012. "Theoretical Channels of International,Transmission During the Subprime Crisis to OCDE Countries: A FAVAR Model Under Bayesian Framework," Working Papers hal-04141045, HAL.
    5. González-Rivera, Gloria & Maldonado, Javier & Ruiz, Esther, 2019. "Growth in stress," International Journal of Forecasting, Elsevier, vol. 35(3), pages 948-966.
    6. Demetrescu, Matei & Hacioglu Hoke, Sinem, 2018. "Predictive regressions under asymmetric loss: factor augmentation and model selection," Bank of England working papers 723, Bank of England.
    7. Liang Chen & Juan Jose Dolado & Jesus Gonzalo, 2019. "Quantile Factor Models," Papers 1911.02173, arXiv.org, revised Sep 2020.
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    11. Mikkelsen, Jakob Guldbæk & Hillebrand, Eric & Urga, Giovanni, 2019. "Consistent estimation of time-varying loadings in high-dimensional factor models," Journal of Econometrics, Elsevier, vol. 208(2), pages 535-562.
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    13. Giglio, Stefano & Kelly, Bryan & Pruitt, Seth, 2016. "Systemic risk and the macroeconomy: An empirical evaluation," Journal of Financial Economics, Elsevier, vol. 119(3), pages 457-471.
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  37. Bai, Jushan & Ng, Serena, 2008. "Large Dimensional Factor Analysis," Foundations and Trends(R) in Econometrics, now publishers, vol. 3(2), pages 89-163, June.

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    6. Nathan Bedock & Dalibor Stevanović, 2017. "An empirical study of credit shock transmission in a small open economy," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 50(2), pages 541-570, May.
    7. Chiara Casoli & Riccardo (Jack) Lucchetti, 2022. "Permanent-Transitory decomposition of cointegrated time series via dynamic factor models, with an application to commodity prices [Commodity-price comovement and global economic activity]," The Econometrics Journal, Royal Economic Society, vol. 25(2), pages 494-514.
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  38. Ng, Serena, 2008. "A Simple Test for Nonstationarity in Mixed Panels," Journal of Business & Economic Statistics, American Statistical Association, vol. 26, pages 113-127, January.

    Cited by:

    1. Mario Cerrato & Christian de Peretti & Rolf Larsson & Nicholas Sarantis, 2011. "A nonlinear panel unit root test under cross section dependence," Working Papers 2011_08, Business School - Economics, University of Glasgow.
    2. Christoph Hanck, 2013. "An Intersection Test for Panel Unit Roots," Econometric Reviews, Taylor & Francis Journals, vol. 32(2), pages 183-203, February.
    3. MOON, H.R. & PERRON, Benoit, 2010. "Beyond Panel Unit Root Tests : Using Multiple Testing to Determine the Non-Stationarity Properties of Individual Series in a Panel," Cahiers de recherche 10-2010, Centre interuniversitaire de recherche en économie quantitative, CIREQ.
    4. Chamon, Marcos & Schumacher, Julian & Trebesch, Christoph, 2018. "Foreign-law bonds: can they reduce sovereign borrowing costs?," Working Paper Series 2162, European Central Bank.
    5. Pedroni, Peter L. & Vogelsang, Timothy J. & Wagner, Martin & Westerlund, Joakim, 2015. "Nonparametric rank tests for non-stationary panels," Journal of Econometrics, Elsevier, vol. 185(2), pages 378-391.
    6. Westerlund, Joakim, 2014. "A simple test for nonstationarity in mixed panels with incidental trends," Economics Letters, Elsevier, vol. 125(2), pages 160-163.
    7. Xuguang Sheng & Jingyun Yang, 2013. "Truncated Product Methods for Panel Unit Root Tests," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 75(4), pages 624-636, August.
    8. Holger Breinlich & Gianmarco I. P. Ottaviano & Jonathan R. W. Temple, 2013. "Regional Growth and Regional Decline," CEP Discussion Papers dp1232, Centre for Economic Performance, LSE.
    9. Horváth, Lajos & Trapani, Lorenzo, 2016. "Statistical inference in a random coefficient panel model," Journal of Econometrics, Elsevier, vol. 193(1), pages 54-75.
    10. Takashi Matsuki, 2016. "Linear and nonlinear comovement in Southeast Asian local currency bond markets: a stepwise multiple testing approach," Empirical Economics, Springer, vol. 51(2), pages 591-619, September.
    11. Matsuki, Takashi & Sugimoto, Kimiko, 2013. "Stationarity of Asian real exchange rates: An empirical application of multiple testing to nonstationary panels with a structural break," Economic Modelling, Elsevier, vol. 34(C), pages 52-58.
    12. Trapani, Lorenzo, 2021. "Inferential theory for heterogeneity and cointegration in large panels," Journal of Econometrics, Elsevier, vol. 220(2), pages 474-503.
    13. Pesaran, M. Hashem, 2012. "On the interpretation of panel unit root tests," Economics Letters, Elsevier, vol. 116(3), pages 545-546.
    14. Juan Luis Jiménez & Armando Ortuño & Jorge V. Pérez-Rodríguez, 2022. "How does AirBnb affect local Spanish tourism markets?," Empirical Economics, Springer, vol. 62(5), pages 2515-2545, May.
    15. Mingyang Li & Linlin Niu & Andrew Pua, 2020. "Market Pricing of Fundamentals at the Shanghai Stock Exchange: Evidence from a Dividend Discount Model with Adaptive Expectations," Working Papers 2020-12-30, Wang Yanan Institute for Studies in Economics (WISE), Xiamen University.
    16. Smeekes, S., 2011. "Bootstrap sequential tests to determine the stationary units in a panel," Research Memorandum 003, Maastricht University, Maastricht Research School of Economics of Technology and Organization (METEOR).
    17. In Choi, 2019. "Unit Root Tests for Dependent Micropanels," The Japanese Economic Review, Springer, vol. 70(2), pages 145-167, June.
    18. Eibinger, Tobias & Deixelberger, Beate & Manner, Hans, 2024. "Panel data in environmental economics: Econometric issues and applications to IPAT models," Journal of Environmental Economics and Management, Elsevier, vol. 125(C).
    19. Lajos Horváth & Gregory Rice, 2014. "Extensions of some classical methods in change point analysis," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 23(2), pages 219-255, June.
    20. Costantini, Mauro & Lupi, Claudio, 2016. "Identifying stationary series in panels: A Monte Carlo evaluation of sequential panel selection methods," Economics Letters, Elsevier, vol. 138(C), pages 9-14.
    21. Westerlund, Joakim & Larsson, Rolf, 2012. "Testing for a unit root in a random coefficient panel data model," Journal of Econometrics, Elsevier, vol. 167(1), pages 254-273.
    22. Trapani, Lorenzo, 2012. "On the asymptotic t-test for large nonstationary panel models," Computational Statistics & Data Analysis, Elsevier, vol. 56(11), pages 3286-3306.

  39. Ng, Serena & Lewbel, Arthur, 2008. "Editors' Report 2007," Journal of Business & Economic Statistics, American Statistical Association, vol. 26, pages 557-557.

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    1. Jonas Dovern & Martin Feldkircher & Florian Huber, 2015. "Does Joint Modelling of the World Economy Pay Off? Evaluating Global Forecasts from a Bayesian GVAR," Working Papers 200, Oesterreichische Nationalbank (Austrian Central Bank).
    2. Bruce Tonn & Paul Frymier & Jared Graves & Jessa Meyers, 2010. "A Sustainable Energy Scenario for the United States: Year 2050," Sustainability, MDPI, vol. 2(12), pages 1-31, November.
    3. Dovern, Jonas, 2015. "A multivariate analysis of forecast disagreement: Confronting models of disagreement with survey data," European Economic Review, Elsevier, vol. 80(C), pages 16-35.

  40. Andersen, Torben G. & Lewbel, Arthur & Ng, Serena, 2007. "Editors' Report 2006," Journal of Business & Economic Statistics, American Statistical Association, vol. 25, pages 503-503, October.

    Cited by:

    1. Sharif, Naubahar & Huang, Can, 2010. "Innovation strategy, firm survival and relocation: The case of Hong Kong-owned manufacturing in Guangdong province, China," MERIT Working Papers 2010-052, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
    2. Carolyn Cordery & Rachel Baskerville & Brenda Porter, 2010. "Control or collaboration?," Accounting, Auditing & Accountability Journal, Emerald Group Publishing Limited, vol. 23(6), pages 793-813, August.

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    1. Chen, Yu & Gao, Yu & Shu, Lei & Zhu, Xiaonan, 2023. "Network effects on risk co-movements: A network quantile autoregression-based analysis," Finance Research Letters, Elsevier, vol. 56(C).
    2. Potrafke, Niklas, 2010. "The growth of public health expenditures in OECD countries: Do government ideology and electoral motives matter?," Journal of Health Economics, Elsevier, vol. 29(6), pages 797-810, December.
    3. Moscone, F. & Tosetti, E., 2010. "Testing for error cross section independence with an application to US health expenditure," Regional Science and Urban Economics, Elsevier, vol. 40(5), pages 283-291, September.
    4. Meng, Ginger & Hu, Gang & Bai, Jushan, 2007. "Olive: a simple method for estimating betas when factors are measured with error," MPRA Paper 33183, University Library of Munich, Germany.
    5. He, Zhipeng & Zhang, Shuguang, 2024. "Risk contagion and diversification among sovereign CDS, stock, foreign exchange and commodity markets: Fresh evidence from G7 and BRICS countries," Finance Research Letters, Elsevier, vol. 62(PB).
    6. Byrne, Joseph P. & Fazio, Giorgio & Fiess, Norbert, 2010. "Interest Rate Co-movements, Global Factors and the Long End of the Term Spread," SIRE Discussion Papers 2010-24, Scottish Institute for Research in Economics (SIRE).
    7. de Nicola, Francesca & De Pace, Pierangelo & Hernandez, Manuel A., 2014. "Co-movement of major commodity price returns : time-series assessment," Policy Research Working Paper Series 6845, The World Bank.
    8. Byrne, Joseph P & Nagayasu, Jun, 2011. "Common factors of the exchange risk premium in emerging European markets," MPRA Paper 31393, University Library of Munich, Germany.
    9. Liu, Zixin & Hu, Jun & Zhang, Shuguang & He, Zhipeng, 2024. "Risk spillovers among oil, gold, stock, and foreign exchange markets: Evidence from G20 economies," The North American Journal of Economics and Finance, Elsevier, vol. 74(C).
    10. Yugang He & Chunlei Wang, 2022. "Does Buddhist Tourism Successfully Result in Local Sustainable Development?," Sustainability, MDPI, vol. 14(6), pages 1-15, March.
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    13. Nicola, Francesca de & De Pace, Pierangelo & Hernandez, Manuel A., 2016. "Co-movement of major energy, agricultural, and food commodity price returns: A time-series assessment," Energy Economics, Elsevier, vol. 57(C), pages 28-41.
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    23. Basher Syed A. & Carrion-i-Silvestre Josep Lluís, 2009. "Price Level Convergence, Purchasing Power Parity and Multiple Structural Breaks in Panel Data Analysis: An Application to U.S. Cities," Journal of Time Series Econometrics, De Gruyter, vol. 1(1), pages 1-38, April.
    24. Costantini, M. & Fragetta, M. & Melina, G., 2013. "Determinants of Sovereign Bond Yield Spreads in the EMU. An Optimal Currency Area Perspective," Working Papers 13/15, Department of Economics, City University London.
    25. Herrera, Ana Mari­a & Murtazashvili, Irina & Pesavento, Elena, 2008. "The comovement in inventories and in sales: Higher and higher," Economics Letters, Elsevier, vol. 99(1), pages 155-158, April.
    26. Jiti Gao & Guangming Pan & Yanrong Yang, 2016. "CEstimation of Structural Breaks in Large Panels with Cross-Sectional Dependence," Monash Econometrics and Business Statistics Working Papers 12/16, Monash University, Department of Econometrics and Business Statistics.
    27. Firouz Fallahi & Gabriel Rodríguez, 2011. "Persistence of Unemployment in the Canadian Provinces," International Regional Science Review, , vol. 34(4), pages 438-458, October.
    28. Mariam Camarero & Josep Lluis Carrion-i-Silvestre & Cecilio Tamarit, 2006. "New evidence of the real interest rate parity for OECD countries using panel unit root tests with breaks," Working Papers CREAP2006-14, Xarxa de Referència en Economia Aplicada (XREAP), revised Dec 2006.
    29. Syed A. Basher & Josep Lluís Carrion-i-Silvestre, 2007. "Another Look at the Null of Stationary RealExchange Rates. Panel Data with Structural Breaks and Cross-section Dependence," IREA Working Papers 200710, University of Barcelona, Research Institute of Applied Economics, revised May 2007.
    30. Victor Chernozhukov & Chen Huang & Weining Wang, 2021. "Uniform Inference on High-dimensional Spatial Panel Networks," Papers 2105.07424, arXiv.org, revised Jan 2025.
    31. Xu, Qiuhua & Yan, Haoyang & Zhao, Tianyu, 2022. "Contagion effect of systemic risk among industry sectors in China’s stock market," The North American Journal of Economics and Finance, Elsevier, vol. 59(C).
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    34. Feng, Yusen & Wang, Gang-Jin & Zhu, You & Xie, Chi, 2023. "Systemic risk spillovers and the determinants in the stock markets of the Belt and Road countries," Emerging Markets Review, Elsevier, vol. 55(C).
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    36. Sarafidis, Vasilis & Yamagata, Takashi & Robertson, Donald, 2009. "A test of cross section dependence for a linear dynamic panel model with regressors," Journal of Econometrics, Elsevier, vol. 148(2), pages 149-161, February.
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    38. Potrafke, Niklas, 2009. "Political cycles and economic performance in OECD countries: empirical evidence from 1951-2006," MPRA Paper 23751, University Library of Munich, Germany.
    39. Jiang, Wen & Xu, Qiuhua & Zhang, Ruige, 2022. "Tail-event driven network of cryptocurrencies and conventional assets," Finance Research Letters, Elsevier, vol. 46(PB).
    40. Ikram Jebabli & Mohamed Arouri & Frédéric Teulon, 2014. "On the effects of world stock market and oil price shocks on food prices: An empirical investigation based on TVPVAR models with stochastic volatility," Working Papers 2014-209, Department of Research, Ipag Business School.
    41. Badi H. Baltagi & Qu Feng & Chihwa Kao, 2015. "Estimation of Heterogeneous Panels with Structural Breaks," Center for Policy Research Working Papers 179, Center for Policy Research, Maxwell School, Syracuse University.
    42. Contessi, Silvio & De Pace, Pierangelo & Guidolin, Massimo, 2014. "How did the financial crisis alter the correlations of U.S. yield spreads?," Journal of Empirical Finance, Elsevier, vol. 28(C), pages 362-385.
    43. Contessi, Silvio & De Pace, Pierangelo, 2009. "Do European capital flows comove?," The North American Journal of Economics and Finance, Elsevier, vol. 20(2), pages 145-161, August.
    44. Byrne, Joseph P & Fazio, Giorgio & Fiess, Norbert, 2010. "Optimism and commitment: An elementary theory of bargaining and war," SIRE Discussion Papers 2010-102, Scottish Institute for Research in Economics (SIRE).
    45. Byrne, Joseph P. & Fiess, Norbert, 2011. "International Capital Flows to Emerging and Developing Countries: National and Global Determinants," SIRE Discussion Papers 2011-03, Scottish Institute for Research in Economics (SIRE).
    46. Çoban, Serap & Topcu, Mert, 2013. "The nexus between financial development and energy consumption in the EU: A dynamic panel data analysis," Energy Economics, Elsevier, vol. 39(C), pages 81-88.
    47. Chen, Cathy Yi-Hsuan & Härdle, Wolfgang Karl & Okhrin, Yarema, 2017. "Tail event driven networks of SIFIs," SFB 649 Discussion Papers 2017-004, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk.
    48. Byrne, Joseph P. & Fiess, Norbert, 2016. "International capital flows to emerging markets: National and global determinants," Journal of International Money and Finance, Elsevier, vol. 61(C), pages 82-100.
    49. Chen, Cathy Yi-Hsuan & Härdle, Wolfgang Karl & Okhrin, Yarema, 2019. "Tail event driven networks of SIFIs," Journal of Econometrics, Elsevier, vol. 208(1), pages 282-298.
    50. Xiao Huang, 2013. "Nonparametric Estimation in Large Panels with Cross-Sectional Dependence," Econometric Reviews, Taylor & Francis Journals, vol. 32(5-6), pages 754-777, August.
    51. Serap Coban, 2015. "Does the Financial Development Spur Export Performance? Evidence from Turkish Firm-Level Data," International Journal of Economics and Financial Issues, Econjournals, vol. 5(2), pages 434-440.
    52. Syed A. Basher & Josep Lluis Carrión-i-Silvestre, 2008. "Price level convergence, purchasing power parity and multiple structural breaks: An application to US cities," Working Papers XREAP2008-08, Xarxa de Referència en Economia Aplicada (XREAP), revised Jul 2008.
    53. Archer Gong Zhang & Jiahua Chen, 2023. "Optimal Estimation under a Semiparametric Density Ratio Model," Papers 2309.09103, arXiv.org.
    54. Josep Lluís Carrion-I-Silvestre, 2016. "Fiscal Deficit Sustainability of the Spanish Regions," Regional Studies, Taylor & Francis Journals, vol. 50(10), pages 1702-1713, October.
    55. Jiti Gao & Guangming Pan & Yanrong Yang & Bo Zhang, 2019. "An Integrated Panel Data Approach to Modelling Economic Growth," Monash Econometrics and Business Statistics Working Papers 9/19, Monash University, Department of Econometrics and Business Statistics.
    56. Francesco Moscone & Elisa Tosetti, 2009. "A Review And Comparison Of Tests Of Cross‐Section Independence In Panels," Journal of Economic Surveys, Wiley Blackwell, vol. 23(3), pages 528-561, July.

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  46. Jushan Bai & Serena Ng, 2006. "Confidence Intervals for Diffusion Index Forecasts and Inference for Factor-Augmented Regressions," Econometrica, Econometric Society, vol. 74(4), pages 1133-1150, July.

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    2. Brandon J. Bates & Mikkel Plagborg-Møller & James H. Stock & Mark W. Watson, "undated". "Consistent factor estimation in dynamic factor models with structural instability," Working Paper 84631, Harvard University OpenScholar.
    3. Igor Masten & Massimiliano Marcellino & Anindya Banerjeey, 2009. "Forecasting with Factor-augmented Error Correction Models," RSCAS Working Papers 2009/32, European University Institute.
    4. Jia Chen & Degui Li & Oliver Linton & Zudi Lu, 2015. "Semiparametric model averaging of ultra-high dimensional time series," CeMMAP working papers CWP62/15, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    5. Nathan Bedock & Dalibor Stevanović, 2017. "An empirical study of credit shock transmission in a small open economy," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 50(2), pages 541-570, May.
    6. Asongu, Simplice A. & Nwachukwu, Jacinta C., 2016. "The Mobile Phone in the Diffusion of Knowledge for Institutional Quality in Sub-Saharan Africa," World Development, Elsevier, vol. 86(C), pages 133-147.
    7. Lombardi, Marco J. & Osbat, Chiara & Schnatz, Bernd, 2010. "Global commodity cycles and linkages a FAVAR approach," Working Paper Series 1170, European Central Bank.
    8. Greenaway-McGrevy, Ryan & Han, Chirok & Sul, Donggyu, 2012. "Asymptotic distribution of factor augmented estimators for panel regression," Journal of Econometrics, Elsevier, vol. 169(1), pages 48-53.
    9. Wu, Jianhong, 2019. "Detecting irrelevant variables in possible proxies for the latent factors in macroeconomics and finance," Economics Letters, Elsevier, vol. 176(C), pages 60-63.
    10. Tae-Hwy Lee & Ekaterina Seregina, 2023. "Optimal Portfolio Using Factor Graphical Lasso," Working Papers 202302, University of California at Riverside, Department of Economics.
    11. Asongu, Simplice & Odhiambo, Nicholas, 2019. "Governance, Capital flight and Industrialisation in Africa," MPRA Paper 101923, University Library of Munich, Germany.
    12. Simplice A. Asongu, 2019. "FDI in Selected Developing Countries: Evidence from Bundling and Unbundling Governance," Research Africa Network Working Papers 19/057, Research Africa Network (RAN).
    13. Laura Battaglia & Timothy Christensen & Stephen Hansen & Szymon Sacher, 2025. "Inference for Regression with Variables Generated by AI or Machine Learning," Cowles Foundation Discussion Papers 2421, Cowles Foundation for Research in Economics, Yale University.
    14. Jin, Xisong & Nadal De Simone, Francisco, 2020. "Monetary policy and systemic risk-taking in the Euro area investment fund industry: A structural factor-augmented vector autoregression analysis," Journal of Financial Stability, Elsevier, vol. 49(C).
    15. Xi Dong & Yan Li & David E. Rapach & Guofu Zhou, 2022. "Anomalies and the Expected Market Return," Journal of Finance, American Finance Association, vol. 77(1), pages 639-681, February.
    16. Moench, Emanuel & Soofi-Siavash, Soroosh, 2022. "What moves treasury yields?," Journal of Financial Economics, Elsevier, vol. 146(3), pages 1016-1043.
    17. Alessi, Lucia & Elisa, Ossola & Panzica, Roberto, 2021. "When do investors go green? Evidence from a time-varying asset-pricing model," JRC Working Papers in Economics and Finance 2021-13, Joint Research Centre, European Commission.
    18. Fonseca, Marcelo Gonçalves da Silva & Pereira, Pedro L. Valls, 2014. "Credit shocks and monetary policy in Brazil: a structural FAVAR approach," Textos para discussão 358, FGV EESP - Escola de Economia de São Paulo, Fundação Getulio Vargas (Brazil).
    19. Jack Fosten, 2016. "Model selection with factors and variables," University of East Anglia School of Economics Working Paper Series 2016-07, School of Economics, University of East Anglia, Norwich, UK..
    20. Reichlin, Lucrezia & Doz, Catherine & Giannone, Domenico, 2006. "A Quasi Maximum Likelihood Approach for Large Approximate Dynamic Factor Models," CEPR Discussion Papers 5724, C.E.P.R. Discussion Papers.
    21. Massacci, Daniele & Kapetanios, George, 2024. "Forecasting in factor augmented regressions under structural change," International Journal of Forecasting, Elsevier, vol. 40(1), pages 62-76.
    22. Joseph P. Byrne & Prince Asare Vitenu-Sackey, 2024. "The Macroeconomic Impact of Global and Country-Specific Climate Risk," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 87(3), pages 655-682, March.
    23. Asongu, Simplice, 2015. "Determinants of Growth in Fast Developing Countries: Evidence from Bundling and Unbundling Institutions," MPRA Paper 67310, University Library of Munich, Germany.
    24. Simplice A. Asongu & Samba Diop & Ekene ThankGod Emeka & Amarachi O. Ogbonna, 2024. "The role of governance and infrastructure in moderating the effect of resource rents on economic growth," Working Papers 24/027, European Xtramile Centre of African Studies (EXCAS).
    25. Eric Hillebrand & Huiyu Huang & Tae-Hwy Lee & Canlin Li, 2018. "Using the Entire Yield Curve in Forecasting Output and Inflation," Econometrics, MDPI, vol. 6(3), pages 1-27, August.
    26. Simplice A. Asongu & Vanessa S. Tchamyou & Ndemaze Asongu & Nina Tchamyou, 2017. "Fighting terrorism in Africa: evidence from bundling and unbundling institutions," Research Africa Network Working Papers 17/047, Research Africa Network (RAN).
    27. Eduardo Gutiérrez & Enrique Moral‐Benito, 2024. "Trade and credit: Revisiting the evidence," Review of International Economics, Wiley Blackwell, vol. 32(3), pages 1149-1173, August.
    28. Hansen, Stephen & McMahon, Michael, 2015. "Shocking language: Understanding the macroeconomic effects of central bank communication," CAGE Online Working Paper Series 258, Competitive Advantage in the Global Economy (CAGE).
    29. Massimiliano Marcellino & Christian Schumacher, 2008. "Factor-MIDAS for Now- and Forecasting with Ragged-Edge Data: A Model Comparison for German GDP1," Working Papers 333, IGIER (Innocenzo Gasparini Institute for Economic Research), Bocconi University.
    30. Gonçalves, Sílvia & McCracken, Michael W. & Perron, Benoit, 2017. "Tests of equal accuracy for nested models with estimated factors," Journal of Econometrics, Elsevier, vol. 198(2), pages 231-252.
    31. Uchenna Efobi & Simplice A. Asongu & Chinelo Okafor & Vanessa Tchamyou & Belmondo Tanankem, 2019. "Remittances, Finance and Industrialisation in Africa," CEREDEC Working Papers 19/009, Centre de Recherche pour le Développement Economique (CEREDEC).
    32. Laurent Callot & Johannes Tang Kristensen, 2016. "Regularized Estimation of Structural Instability in Factor Models: The US Macroeconomy and the Great Moderation," Advances in Econometrics, in: Dynamic Factor Models, volume 35, pages 437-479, Emerald Group Publishing Limited.
    33. Claudio Morana, 2014. "Factor Vector Autoregressive Estimation of Heteroskedastic Persistent and Non Persistent Processes Subject to Structural Breaks," Working Papers 273, University of Milano-Bicocca, Department of Economics, revised May 2014.
    34. Patrick GAGLIARDINI & Elisa OSSOLA & Olivier SCAILLET, 2011. "Time-Varying Risk Premium In Large Cross-Sectional Equidity Datasets," Swiss Finance Institute Research Paper Series 11-41, Swiss Finance Institute.
    35. Bai, Jushan & Ng, Serena, 2008. "Forecasting economic time series using targeted predictors," Journal of Econometrics, Elsevier, vol. 146(2), pages 304-317, October.
    36. Asongu, Simplice & Andrés, Antonio, 2019. "Trajectories of Knowledge Economy in SSA and MENA countries," MPRA Paper 93662, University Library of Munich, Germany.
    37. Simplice A. Asongu & Joseph Nnanna & Vanessa S. Tchamyou, 2019. "The Comparative African Regional Economics of Globalization in Financial Allocation Efficiency: Pre-Crisis Era Revisited," Working Papers of the African Governance and Development Institute. 19/085, African Governance and Development Institute..
    38. Nicoletta Pashourtidou & Christos Papamichael & Charalampos Karagiannakis, 2018. "Forecasting economic activity in sectors of the Cypriot economy," Cyprus Economic Policy Review, University of Cyprus, Economics Research Centre, vol. 12(2), pages 24-66, December.
    39. Chen, Qitong & Hong, Yongmiao & Li, Haiqi, 2024. "Time-varying forecast combination for factor-augmented regressions with smooth structural changes," Journal of Econometrics, Elsevier, vol. 240(1).
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  51. Serena Ng & Pierre Perron, 2005. "A Note on the Selection of Time Series Models," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 67(1), pages 115-134, February.
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  52. Jushan Bai & Serena Ng, 2004. "A PANIC Attack on Unit Roots and Cointegration," Econometrica, Econometric Society, vol. 72(4), pages 1127-1177, July.
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  53. Andreas Waldkirch & Serena Ng & Donald Cox, 2004. "Intergenerational Linkages in Consumption Behavior," Journal of Human Resources, University of Wisconsin Press, vol. 39(2).
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  55. Emanuela Cardia & Serena Ng, 2003. "Intergenerational Time Transfers and Childcare," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 6(2), pages 431-454, April.

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    1. Nigar Hashimzade, 2020. "Endogenous Preferences for Parenting and Macroeconomic Outcomes," CESifo Working Paper Series 8062, CESifo.
    2. Emanuela Cardia & Paul Gomme, 2013. "The Household Revolution: Childcare, Housework, and Female Labor Force Participation," Cahiers de recherche 08-2013, Centre interuniversitaire de recherche en économie quantitative, CIREQ.
    3. Alessandra Casarico & Alessandro Sommacal, 2014. "Taxation and Parental Time Allocation under Different Assumptions on Altruism," CESifo Working Paper Series 4690, CESifo.
    4. Peter Eibich & Thomas Siedler, 2020. "Retirement, Intergenerational Time Transfers, and Fertility," SOEPpapers on Multidisciplinary Panel Data Research 1073, DIW Berlin, The German Socio-Economic Panel (SOEP).
    5. CARDIA, Emanuela & MICHEL, Philippe, 2003. "Altruism, Intergenerational Transfers of Time and Bequests," Cahiers de recherche 02-2003, Centre interuniversitaire de recherche en économie quantitative, CIREQ.
    6. Gema Zamarro, 2020. "Family labor participation and child care decisions: the role of grannies," SERIEs: Journal of the Spanish Economic Association, Springer;Spanish Economic Association, vol. 11(3), pages 287-312, September.
    7. Atsue Mizushima, 2008. "Intergenerational Transfers of Time and Public Long-term Care with an Aging Population," Economics Working Papers ECO2008/36, European University Institute.
    8. Robin L. Lumsdaine & Stephanie J.C. Vermeer, 2014. "Retirement Timing of Women and the Role of Care Responsibilities for Grandchildren," NBER Working Papers 20756, National Bureau of Economic Research, Inc.
    9. Erich Battistin & Michele De Nadai & Mario Padula, 2015. "Roadblocks on the Road to Grandma’s House: Fertility Consequences of Delayed Retirement," Working Papers 748, Queen Mary University of London, School of Economics and Finance.
    10. Robin Lumsdaine & Stephanie Vermeer, 2015. "Retirement Timing of Women and the Role of Care Responsibilities for Grandchildren," Demography, Springer;Population Association of America (PAA), vol. 52(2), pages 433-454, April.
    11. Yang, Fang, 2013. "Social security reform with impure intergenerational altruism," Journal of Economic Dynamics and Control, Elsevier, vol. 37(1), pages 52-67.
    12. Eva Garcia-Moran & Zoe Kuehn, 2012. "With Strings Attached: Grandparent-Provided Child care, Fertility, and Female Labor Market Outcomes," CEPRA working paper 1202, USI Università della Svizzera italiana.
    13. Emanuela Cardia & Paul Gomme, 2017. "Market Work, Housework and Childcare: A Time Use Approach," Working Papers 15007, Concordia University, Department of Economics.
    14. Paula C. Albuquerque, 2014. "The Interaction of Private Intergenerational Transfers Types," Working Papers Department of Economics 2014/03, ISEG - Lisbon School of Economics and Management, Department of Economics, Universidade de Lisboa.
    15. Rydell, Ingrid, 2005. "Equity, Justice, Interdependence: Intergenerational Transfers and the Ageing Population," Arbetsrapport 2005:5, Institute for Futures Studies.
    16. Eva Garcia-Moran & Zoe Kuehn, 2016. "Online Appendix to "With Strings Attached: Grandparent-Provided Child Care and Female Labor Market Outcomes"," Online Appendices 14-169, Review of Economic Dynamics.
    17. Aely Park, 2022. "Longitudinal Patterns of Grandchild Care in South Korea," IJERPH, MDPI, vol. 19(3), pages 1-15, January.
    18. Laurent Gobillon & Francois-Charles Wolff, 2011. "Housing and Location Choices of Retiring Households: Evidence from France," Urban Studies, Urban Studies Journal Limited, vol. 48(2), pages 331-347, February.
    19. Meng, Lingsheng & Zhang, Yunbin & Zou, Ben, 2023. "The motherhood penalty in China: Magnitudes, trends, and the role of grandparenting," Journal of Comparative Economics, Elsevier, vol. 51(1), pages 105-132.
    20. Rupert, Peter & Zanella, Giulio, 2018. "Grandchildren and their grandparents' labor supply," Journal of Public Economics, Elsevier, vol. 159(C), pages 89-103.
    21. Ainhoa Aparicio Fenoll, 2017. "The uneven impact of women's retirement on their daughters' employment," Carlo Alberto Notebooks 532, Collegio Carlo Alberto.
    22. Nguyen, Quynh-Nga, 2024. "Intergenerational time transfer, retirement and public pensions," The Journal of the Economics of Ageing, Elsevier, vol. 27(C).
    23. Christine Ho, 2014. "Welfare-to-Work Reform and Intergenerational Support: Grandmothers’ Response to the 1996 PRWORA," Working Papers 12-2014, Singapore Management University, School of Economics.
    24. Daniela Boca & Daniela Piazzalunga & Chiara Pronzato, 2018. "The role of grandparenting in early childcare and child outcomes," Review of Economics of the Household, Springer, vol. 16(2), pages 477-512, June.
    25. Pascal Belan & Erwan Moussault, 2019. "Inheritance Taxation in a Model with Intergenerational Time Transfers," Post-Print hal-04271351, HAL.
    26. Pelin Akyol & Zeynep Yılmaz, 2024. "Effects of Grandmothers' Proximity on Mothers' Labour Force Participation," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 86(5), pages 1122-1162, October.
    27. Birgit Leimer & Reyn Joris van Ewijk, 2022. "Are Grandchildren Good for You? Well-Being and Health Effects of Becoming a Grandparent," Working Papers 2201, Gutenberg School of Management and Economics, Johannes Gutenberg-Universität Mainz.
    28. Pedro Gete and Paolo Porchia, 2011. "Fertility and Consumption when Having a Child is a Risky Investment," Working Papers gueconwpa~11-11-03, Georgetown University, Department of Economics.
    29. Pascal Belan & Pierre-Jean Messe & François-Charles Wolff, 2010. "Postponing retirement age and labor force participation : the role of family transfers," Discussion Papers (REL - Recherches Economiques de Louvain) 2010041, Université catholique de Louvain, Institut de Recherches Economiques et Sociales (IRES).
    30. Christine Ho, 2013. "Grandchild Care, Intergenerational Transfers, and Grandparents’ Labor Supply," Working Papers 06-2013, Singapore Management University, School of Economics.
    31. Monica Harber Carney, 2024. "Trade-offs in intergenerational family care provision," Review of Economics of the Household, Springer, vol. 22(2), pages 563-593, June.
    32. Deng, Yue & Zhou, Yuqian & Hu, Dezhuang, 2023. "Grandparental childcare and female labor market behaviors: Evidence from China," Journal of Asian Economics, Elsevier, vol. 86(C).
    33. Eva García-Morán & Zoë Kuehn, 2013. "With Strings Attached: Grandparent-Provided Child Care and Female Labor Market Outcomes," SOEPpapers on Multidisciplinary Panel Data Research 610, DIW Berlin, The German Socio-Economic Panel (SOEP).
    34. Paolo Porchia & Pedro Gete, 2011. "Fertility and Consumption when Having a Child is a Risky Investment," 2011 Meeting Papers 563, Society for Economic Dynamics.
    35. Janice Compton & Robert A. Pollak, 2011. "Family Proximity, Childcare, and Women's Labor Force Attachment," NBER Working Papers 17678, National Bureau of Economic Research, Inc.
    36. García-Morán, Eva & Kuehn, Zoe, 2012. "With strings attached: Grandparent-provided child care, fertility, and female labor market outcomes," MPRA Paper 37001, University Library of Munich, Germany.
    37. Alessandra Casarico & Luca Micheletto & Alessandro Sommacal, 2011. "Intergenerational Transmission of Skills during Childhood and Optimal Public Policy," CESifo Working Paper Series 3343, CESifo.
    38. Alessandra Casarico & Alessandro Sommacal, 2008. "Labor Income Taxation, Human Capital and Growth: The Role of Child Care," CESifo Working Paper Series 2363, CESifo.
    39. Quang-Thanh Tran, 2025. "Dual Caregiving and Overlapping Generations," TUPD Discussion Papers 64, Graduate School of Economics and Management, Tohoku University.
    40. Osuna Victoria, 2021. "Subsidising Formal Childcare Versus Grandmothers' Time: Which Policy is More Effective?," Economics - The Open-Access, Open-Assessment Journal, De Gruyter, vol. 15(1), pages 85-111, January.
    41. Ho Christine, 2019. "Optimal Disability Insurance with Informal Child Care," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 19(2), pages 1-42, April.
    42. Ilciukas, Julius, 2023. "Fertility and parental retirement," Journal of Public Economics, Elsevier, vol. 226(C).
    43. García-Morán, Eva & Kuehn, Zoe, 2013. "With strings attached: Grandparent-provided child care and female labor market outcomes," MPRA Paper 48953, University Library of Munich, Germany.
    44. Wang, Ye & Zhao, Xindong, 2022. "Grandparental childcare, maternal labor force participation, and the birth of a second child: Further knowledge from empirical analysis," Journal of Business Research, Elsevier, vol. 139(C), pages 762-770.
    45. Janice Compton, 2015. "Family proximity and the labor force status of women in Canada," Review of Economics of the Household, Springer, vol. 13(2), pages 323-358, June.
    46. Joaquín Andaluz & Miriam Marcén & José Alberto Molina, 2017. "The Effects of Inter-Generational Transfers on the Marital Surplus," Manchester School, University of Manchester, vol. 85(3), pages 320-338, June.
    47. Xinxin Ma, 2022. "Grandchildren Care and Labor Supply of Middle-Aged Grandmothers: Evidence from China," Journal of Family and Economic Issues, Springer, vol. 43(3), pages 581-598, September.
    48. Minagawa Junichi & Upmann Thorsten, 2014. "A Single Parent’s Labor Supply: Evaluating Different Child Care Fees within an Intertemporal Framework," The B.E. Journal of Theoretical Economics, De Gruyter, vol. 14(1), pages 177-215, January.
    49. Miyazawa, Kazutoshi, 2016. "Grandparental child care, child allowances, and fertility," The Journal of the Economics of Ageing, Elsevier, vol. 7(C), pages 53-60.

  56. Serena Ng & Timothy Vogelsang, 2002. "Analysis Of Vector Autoregressions In The Presence Of Shifts In Mean," Econometric Reviews, Taylor & Francis Journals, vol. 21(3), pages 353-381.
    See citations under working paper version above.
  57. Serena Ng & Pierre Perron, 2002. "PPP May not Hold Afterall: A Further Investigation," Annals of Economics and Finance, Society for AEF, vol. 3(1), pages 43-64, May.
    See citations under working paper version above.
  58. Serena Ng & Timothy J. Vogelsang, 2002. "Forecasting autoregressive time series in the presence of deterministic components," Econometrics Journal, Royal Economic Society, vol. 5(1), pages 196-224, June.
    See citations under working paper version above.
  59. Jushan Bai & Serena Ng, 2002. "Determining the Number of Factors in Approximate Factor Models," Econometrica, Econometric Society, vol. 70(1), pages 191-221, January.
    See citations under working paper version above.
  60. Bai, Jushan & Ng, Serena, 2001. "A consistent test for conditional symmetry in time series models," Journal of Econometrics, Elsevier, vol. 103(1-2), pages 225-258, July.

    Cited by:

    1. Esfandiar Maasoumi & Jeffrey Racine, 2009. "A Robust Entropy-Based Test of Asymmetry for Discrete and Continuous Processes," Econometric Reviews, Taylor & Francis Journals, vol. 28(1-3), pages 246-261.
    2. Joseph Ngatchou-Wandji & Michel Harel, 2013. "A Cramér-von Mises test for symmetry of the error distribution in asymptotically stationary stochastic models," Statistical Inference for Stochastic Processes, Springer, vol. 16(3), pages 207-236, October.
    3. Andrea Carriero & Todd E. Clark & Massimiliano Marcellino, 2020. "Capturing Macroeconomic Tail Risks with Bayesian Vector Autoregressions," Working Papers 20-02R, Federal Reserve Bank of Cleveland, revised 22 Sep 2020.
    4. Francq, Christian & Jiménez Gamero, Maria Dolores & Meintanis, Simos, 2015. "Tests for sphericity in multivariate garch models," MPRA Paper 67411, University Library of Munich, Germany.
    5. Kuosmanen, Timo & Fosgerau, Mogens, 2009. "Neoclassical versus frontier production models? Testing for the skewness of regression residuals," MPRA Paper 24208, University Library of Munich, Germany.
    6. Philippe Lambert & Sébastien Laurent & David Veredas, 2012. "Testing conditional asymmetry. A residual based approach," ULB Institutional Repository 2013/136195, ULB -- Universite Libre de Bruxelles.
    7. Escanciano, J. Carlos, 2010. "Asymptotic Distribution-Free Diagnostic Tests For Heteroskedastic Time Series Models," Econometric Theory, Cambridge University Press, vol. 26(3), pages 744-773, June.
    8. Fujiwara, Ippei & Körber, Lena Mareen & Nagakura, Daisuke, 2013. "Asymmetry in government bond returns," Journal of Banking & Finance, Elsevier, vol. 37(8), pages 3218-3226.
    9. Tao Chen & Gautam Tripathi, 2014. "A simple consistent test of conditional symmetry in symmetrically trimmed tobit models," DEM Discussion Paper Series 14-04, Department of Economics at the University of Luxembourg.
    10. Carlos Escanciano, J., 2008. "Joint and marginal specification tests for conditional mean and variance models," Journal of Econometrics, Elsevier, vol. 143(1), pages 74-87, March.
    11. Francq, C. & Jiménez-Gamero, M.D. & Meintanis, S.G., 2017. "Tests for conditional ellipticity in multivariate GARCH models," Journal of Econometrics, Elsevier, vol. 196(2), pages 305-319.
    12. Claude Diebolt & Jamel Trabelsi, 2008. "Human Capital and French Macroeconomic Growth in the Long Run," Working Papers 08-11, Association Française de Cliométrie (AFC).
    13. Fuchun Li & Greg Tkacz, 2001. "A Consistent Bootstrap Test for Conditional Density Functions with Time-Dependent Data," Staff Working Papers 01-21, Bank of Canada.
    14. Narayan, Paresh Kumar & Popp, Stephan, 2009. "Can the electricity market be characterised by asymmetric behaviour?," Energy Policy, Elsevier, vol. 37(11), pages 4364-4372, November.
    15. Mora, Juan & Neumeyer, Natalie, 2005. "The Two-Sample Problem with Regression Errors : An Empirical Process Approach," Technical Reports 2005,05, Technische Universität Dortmund, Sonderforschungsbereich 475: Komplexitätsreduktion in multivariaten Datenstrukturen.
    16. Alicia Pérez Alonso, 2006. "A Bootstrap Approach To Test The Conditional Symmetry In Time Series Models," Working Papers. Serie AD 2006-18, Instituto Valenciano de Investigaciones Económicas, S.A. (Ivie).
    17. Igor Kheifets & Carlos Velasco, 2012. "Model Adequacy Checks for Discrete Choice Dynamic Models," Working Papers w0170, Center for Economic and Financial Research (CEFIR).
    18. Marcelo FERNANDES & Eduardo F. MENDES & Olivier SCAILLET, 2011. "Testing for Symmetry and Conditional Symmetry Using Asymmetric Kernels," Swiss Finance Institute Research Paper Series 11-32, Swiss Finance Institute.
    19. Song, Kyungchul, 2010. "Testing semiparametric conditional moment restrictions using conditional martingale transforms," Journal of Econometrics, Elsevier, vol. 154(1), pages 74-84, January.
    20. Andrea Bastianin, 2019. "Robust measures of skewness and kurtosis for macroeconomic and financial time series," Working Papers 408, University of Milano-Bicocca, Department of Economics, revised 06 May 2019.
    21. Dante Amengual & Xinyue Bei & Marine Carrasco & Enrique Sentana, 2023. "Score-type tests for normal mixtures," CIRANO Working Papers 2023s-02, CIRANO.
    22. Laïb Naâmane & Lemdani Mohamed & Ould Saïd Elias, 2013. "A functional conditional symmetry test for a GARCH-SM model: Power asymptotic properties," Statistics & Risk Modeling, De Gruyter, vol. 30(1), pages 75-104, March.
    23. Paolo Zagaglia, 2006. "How reliable are Taylor rules? A view from asymmetry in the U.S. Fed funds rate," Economics Bulletin, AccessEcon, vol. 5(14), pages 1-11.
    24. Andreou, Elena & Werker, Bas J.M., 2015. "Residual-based rank specification tests for AR–GARCH type models," Journal of Econometrics, Elsevier, vol. 185(2), pages 305-331.
    25. Niu, Cuizhen & Guo, Xu & Li, Yong & Zhu, Lixing, 2018. "Pairwise distance-based tests for conditional symmetry," Computational Statistics & Data Analysis, Elsevier, vol. 128(C), pages 145-162.
    26. Mihail Petkovski & Jordan Kjosevski & Aleksandar Stojkov & Katerina Bartasek Petkovska, 2024. "Examining Country-specific and Global Factors of Inflation Dynamics: The Curious Case of Baltic States," Politická ekonomie, Prague University of Economics and Business, vol. 2024(6), pages 896-922.
    27. Su, Liangjun, 2006. "A simple test for multivariate conditional symmetry," Economics Letters, Elsevier, vol. 93(3), pages 374-378, December.
    28. Chung, EunYi & Olivares, Mauricio, 2021. "Permutation test for heterogeneous treatment effects with a nuisance parameter," Journal of Econometrics, Elsevier, vol. 225(2), pages 148-174.
    29. Luke Hartigan, 2016. "Testing for Symmetry in Weakly Dependent Time Series," Discussion Papers 2016-18, School of Economics, The University of New South Wales.
    30. Ivanović, Blagoje & Milošević, Bojana & Obradović, Marko, 2020. "Comparison of symmetry tests against some skew-symmetric alternatives in i.i.d. and non-i.i.d. setting," Computational Statistics & Data Analysis, Elsevier, vol. 151(C).
    31. Li, Fuchun & Tkacz, Greg, 2006. "A consistent bootstrap test for conditional density functions with time-series data," Journal of Econometrics, Elsevier, vol. 133(2), pages 863-886, August.
    32. Simos Meintanis, 2013. "Comments on: An updated review of Goodness-of-Fit tests for regression models," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 22(3), pages 432-436, September.
    33. Chen, Qiang & Zheng, Xu & Pan, Zhiyuan, 2015. "Asymptotically distribution-free tests for the volatility function of a diffusion," Journal of Econometrics, Elsevier, vol. 184(1), pages 124-144.
    34. Zacharias Psaradakis & Marián Vávra, 2015. "A Quantile-based Test for Symmetry of Weakly Dependent Processes," Journal of Time Series Analysis, Wiley Blackwell, vol. 36(4), pages 587-598, July.
    35. Halunga, Andreea G. & Orme, Chris D., 2009. "First-Order Asymptotic Theory For Parametric Misspecification Tests Of Garch Models," Econometric Theory, Cambridge University Press, vol. 25(2), pages 364-410, April.
    36. Corradi, Valentina & Swanson, Norman R., 2006. "Bootstrap conditional distribution tests in the presence of dynamic misspecification," Journal of Econometrics, Elsevier, vol. 133(2), pages 779-806, August.
    37. Delgado, Miguel A. & Song, Xiaojun, 2018. "Nonparametric tests for conditional symmetry," Journal of Econometrics, Elsevier, vol. 206(2), pages 447-471.
    38. Tao Chen & Gautam Tripathi, 2011. "Testing Conditional Symmetry Without Smoothing," Working papers 2011-01, University of Connecticut, Department of Economics.
    39. Masayuki Hirukawa & Mari Sakudo, 2016. "Testing Symmetry of Unknown Densities via Smoothing with the Generalized Gamma Kernels," Econometrics, MDPI, vol. 4(2), pages 1-27, June.
    40. Degiannakis, Stavros & Xekalaki, Evdokia, 2004. "Autoregressive Conditional Heteroskedasticity (ARCH) Models: A Review," MPRA Paper 80487, University Library of Munich, Germany.
    41. Elena Andreou & Bas J.M. Werker, 2014. "Residual-based Rank Specification Tests for AR-GARCH type models," University of Cyprus Working Papers in Economics 02-2014, University of Cyprus Department of Economics.
    42. Chen Yi-Ting & Lin Chang-Ching, 2008. "On the Robustness of Symmetry Tests for Stock Returns," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 12(2), pages 1-40, May.
    43. Yi-Ting Chen & Chung-Ming Kuan, 2003. "A Generalized Jarque-Bera Test of Conditional Normality," IEAS Working Paper : academic research 03-A003, Institute of Economics, Academia Sinica, Taipei, Taiwan.
    44. Shujaat Naeem Azmi & Tasneem Khan & Wajahat Azmi & Naghma Azhar, 2023. "A panel cointegration analysis of linkages between international trade and tourism: case of India and South Asian Association for Regional Cooperation (SAARC) countries," Quality & Quantity: International Journal of Methodology, Springer, vol. 57(6), pages 5157-5176, December.
    45. Bai, Jushan & Chen, Zhihong, 2008. "Testing multivariate distributions in GARCH models," Journal of Econometrics, Elsevier, vol. 143(1), pages 19-36, March.
    46. Mora, Juan, 2005. "Comparing distribution functions of errors in linear models: A nonparametric approach," Statistics & Probability Letters, Elsevier, vol. 73(4), pages 425-432, July.
    47. Chen Yi-Ting, 2003. "Testing Serial Independence against Time Irreversibility," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 7(3), pages 1-30, October.
    48. Delgado, Miguel A. & Velasco, Carlos, 2005. "Sign tests for long-memory time series," Journal of Econometrics, Elsevier, vol. 128(2), pages 215-251, October.
    49. Delgado, Miguel A. & Carlos Escanciano, J., 2007. "Nonparametric tests for conditional symmetry in dynamic models," Journal of Econometrics, Elsevier, vol. 141(2), pages 652-682, December.
    50. Philippe Lambert & Sébastien Laurent, 2008. "Testing Conditional Dynamics in Asymmetry. A Residual-Based Approach," Working Papers ECARES 2008_009, ULB -- Universite Libre de Bruxelles.
    51. Werker, Bas J M & Andreou, Elena, 2013. "Residual-based Rank Specification Tests for AR-GARCH type models," CEPR Discussion Papers 9583, C.E.P.R. Discussion Papers.
    52. Maasoumi, Esfandiar & Racine Jeff, 2003. "A Robust Entropy-Based Test for Asymmetry," Departmental Working Papers 0508, Southern Methodist University, Department of Economics.
    53. Liangjun Su & Sainan Jin, 2005. "A Bootstrap Test for Conditional Symmetry," Annals of Economics and Finance, Society for AEF, vol. 6(2), pages 251-261, November.
    54. Qi Li & Jeffrey Scott Racine, 2006. "Nonparametric Econometrics: Theory and Practice," Economics Books, Princeton University Press, edition 1, volume 1, number 8355.
    55. Chen, Yi-Ting, 2012. "A simple approach to standardized-residuals-based higher-moment tests," Journal of Empirical Finance, Elsevier, vol. 19(4), pages 427-453.

  61. Serena Ng & Pierre Perron, 2001. "LAG Length Selection and the Construction of Unit Root Tests with Good Size and Power," Econometrica, Econometric Society, vol. 69(6), pages 1519-1554, November.
    See citations under working paper version above.
  62. Gonzalo, Jesus & Ng, Serena, 2001. "A systematic framework for analyzing the dynamic effects of permanent and transitory shocks," Journal of Economic Dynamics and Control, Elsevier, vol. 25(10), pages 1527-1546, October.
    See citations under working paper version above.
  63. Serena Ng & Francisco J. Ruge-Murcia, 2000. "Explaining the Persistence of Commodity Prices," Computational Economics, Springer;Society for Computational Economics, vol. 16(1/2), pages 149-171, October.
    See citations under working paper version above.
  64. Michaelides, Alexander & Ng, Serena, 2000. "Estimating the rational expectations model of speculative storage: A Monte Carlo comparison of three simulation estimators," Journal of Econometrics, Elsevier, vol. 96(2), pages 231-266, June.
    See citations under working paper version above.
  65. Lumsdaine, Robin L. & Ng, Serena, 1999. "Testing for ARCH in the presence of a possibly misspecified conditional mean," Journal of Econometrics, Elsevier, vol. 93(2), pages 257-279, December.
    See citations under working paper version above.
  66. Eric Ghysels & Serena Ng, 1998. "A Semiparametric Factor Model Of Interest Rates And Tests Of The Affine Term Structure," The Review of Economics and Statistics, MIT Press, vol. 80(4), pages 535-548, November.
    See citations under working paper version above.
  67. Perron, Pierre & Ng, Serena, 1998. "An Autoregressive Spectral Density Estimator At Frequency Zero For Nonstationarity Tests," Econometric Theory, Cambridge University Press, vol. 14(5), pages 560-603, October.
    See citations under working paper version above.
  68. Garcia, Rene & Lusardi, Annamaria & Ng, Serena, 1997. "Excess Sensitivity and Asymmetries in Consumption: An Empirical Investigation," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 29(2), pages 154-176, May.
    See citations under working paper version above.
  69. Ng, Serena & Perron, Pierre, 1997. "Estimation and inference in nearly unbalanced nearly cointegrated systems," Journal of Econometrics, Elsevier, vol. 79(1), pages 53-81, July.
    See citations under working paper version above.
  70. Ng, Serena, 1996. "Looking for evidence of speculative stockholding in commodity markets," Journal of Economic Dynamics and Control, Elsevier, vol. 20(1-3), pages 123-143.
    See citations under working paper version above.
  71. Pierre Perron & Serena Ng, 1996. "Useful Modifications to some Unit Root Tests with Dependent Errors and their Local Asymptotic Properties," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 63(3), pages 435-463.
    See citations under working paper version above.
  72. Serena Ng & Pierre Perron, 1996. "The Exact Error In Estimating The Spectral Density At The Origin," Journal of Time Series Analysis, Wiley Blackwell, vol. 17(4), pages 379-408, July.
    See citations under working paper version above.
  73. Ng, Serena & Schaller, Huntley, 1996. "The Risky Spread, Investment, and Monetary Policy Transmission: Evidence on the Role of Asymmetric Information," The Review of Economics and Statistics, MIT Press, vol. 78(3), pages 375-383, August.
    See citations under working paper version above.
  74. Ng, Serena, 1995. "Testing for Homogeneity in Demand Systems When the Regressors Are Nonstationary," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 10(2), pages 147-163, April-Jun.
    See citations under working paper version above.
  75. Ng, Serena, 1995. "Testing for unit roots in flow data sampled at different frequencies," Economics Letters, Elsevier, vol. 47(3-4), pages 237-242, March.

    Cited by:

    1. Waldemar Florczak, 2012. "Instytucjonalne uwarunkowania przestępczości w Polsce," Gospodarka Narodowa. The Polish Journal of Economics, Warsaw School of Economics, issue 10, pages 97-126.
    2. Sabate, Marcela & Gadea, Maria Dolores & Escario, Regina, 2006. "Does fiscal policy influence monetary policy? The case of Spain, 1874-1935," Explorations in Economic History, Elsevier, vol. 43(2), pages 309-331, April.
    3. Chambers, Marcus J., 2004. "Testing for unit roots with flow data and varying sampling frequency," Journal of Econometrics, Elsevier, vol. 119(1), pages 1-18, March.
    4. Wang, Dabin & Tomek, William G., 2004. "Commodity Prices And Unit Root Tests," 2004 Annual meeting, August 1-4, Denver, CO 20141, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    5. Maria Nikoloudaki & Dikaios Tserkezos, 2008. "Temporal Aggregation Effects in Choosing the Optimal Lag Order in Stable ARMA Models: Some Monte Carlo Results," Working Papers 0822, University of Crete, Department of Economics.
    6. Otero, Jesus & Smith, Jeremy, 2000. "Testing for cointegration: power versus frequency of observation -- further Monte Carlo results," Economics Letters, Elsevier, vol. 67(1), pages 5-9, April.
    7. Matthias Lutz, 2002. "Beyond Burgernomics and MacParity: Exchange Rate Forecasts Based on the Law of One Price," 10th International Conference on Panel Data, Berlin, July 5-6, 2002 D4-1, International Conferences on Panel Data.
    8. Cunado, J. & Gil-Alana, L.A. & de Gracia, F. Perez, 2005. "A test for rational bubbles in the NASDAQ stock index: A fractionally integrated approach," Journal of Banking & Finance, Elsevier, vol. 29(10), pages 2633-2654, October.
    9. Onour, Ibrahim, 2009. "Rational bubbles and volatility persistence in India stock market," MPRA Paper 18545, University Library of Munich, Germany.
    10. Arghyrou, Michael G. & Gadea, Maria Dolores, 2012. "The single monetary policy and domestic macro-fundamentals: Evidence from Spain," Journal of Policy Modeling, Elsevier, vol. 34(1), pages 16-34.
    11. S Cook, 2001. "Finite-sample critical values of the Augmented Dickey-Fuller statistic: a note on lag order," Economic Issues Journal Articles, Economic Issues, vol. 6(2), pages 31-46, September.
    12. Sabate, Marcela & Gadea, Maria Dolores & Serrano, Jose Maria, 2003. "PPP and structural breaks. The peseta-sterling rate, 50 years of a floating regime," Journal of International Money and Finance, Elsevier, vol. 22(5), pages 613-627, October.
    13. Taylor, Alan M, 2001. "Potential Pitfalls for the Purchasing-Power-Parity Puzzle? Sampling and Specification Biases in Mean-Reversion Tests of the Law of One Price," Econometrica, Econometric Society, vol. 69(2), pages 473-498, March.
    14. Wang, Dabin & Tomek, William G., 2004. "Commodity Prices And Unit Root Tests," Working Papers 127145, Cornell University, Department of Applied Economics and Management.
    15. Jesús Otero & Theodore Panagiotidis & Georgios Papapanagiotou, 2021. "Testing for exuberance in house prices using data sampled at different frequencies," Working Paper series 21-13, Rimini Centre for Economic Analysis.

Chapters

  1. Rishab Guha & Serena Ng, 2019. "A Machine Learning Analysis of Seasonal and Cyclical Sales in Weekly Scanner Data," NBER Chapters, in: Big Data for Twenty-First-Century Economic Statistics, pages 403-436, National Bureau of Economic Research, Inc.
    See citations under working paper version above.
  2. Jean-Jacques Forneron & Serena Ng, 2016. "A Likelihood-Free Reverse Sampler of the Posterior Distribution," Advances in Econometrics, in: Essays in Honor of Aman Ullah, volume 36, pages 389-415, Emerald Group Publishing Limited.

    Cited by:

    1. Jean-Jacques Forneron & Serena Ng, 2015. "The ABC of Simulation Estimation with Auxiliary Statistics," Papers 1501.01265, arXiv.org, revised Oct 2017.
    2. Jean-Jacques Forneron & Serena Ng, 2020. "Inference by Stochastic Optimization: A Free-Lunch Bootstrap," Papers 2004.09627, arXiv.org, revised Sep 2020.
    3. Forneron, Jean-Jacques, 2024. "Estimation and inference by stochastic optimization," Journal of Econometrics, Elsevier, vol. 238(2).

  3. Ng, Serena, 2013. "Variable Selection in Predictive Regressions," Handbook of Economic Forecasting, in: G. Elliott & C. Granger & A. Timmermann (ed.), Handbook of Economic Forecasting, edition 1, volume 2, chapter 0, pages 752-789, Elsevier.

    Cited by:

    1. Valerio Della Corte & Claire Giordano, 2021. "Methodological issues in the estimation of current account imbalances," Questioni di Economia e Finanza (Occasional Papers) 617, Bank of Italy, Economic Research and International Relations Area.
    2. Yuan Liao & Xinjie Ma & Andreas Neuhierl & Zhentao Shi, 2023. "Economic Forecasts Using Many Noises," Papers 2312.05593, arXiv.org, revised Dec 2023.
    3. Alain Galli & Christian Hepenstrick & Rolf Scheufele, 2017. "Mixed-frequency models for tracking short-term economic developments in Switzerland," Working Papers 2017-02, Swiss National Bank.
    4. Giannone, Domenico & Banbura, Marta & Lenza, Michele, 2014. "Conditional forecasts and scenario analysis with vector autoregressions for large cross-sections," CEPR Discussion Papers 9931, C.E.P.R. Discussion Papers.
    5. Lenza, Michele & Moutachaker, Inès & Paredes, Joan, 2023. "Density forecasts of inflation: a quantile regression forest approach," CEPR Discussion Papers 18298, C.E.P.R. Discussion Papers.
    6. Zhenzhong Wang & Zhengyuan Zhu & Cindy Yu, 2020. "Variable Selection in Macroeconomic Forecasting with Many Predictors," Papers 2007.10160, arXiv.org.
    7. Mei, Ziwei & Shi, Zhentao, 2024. "On LASSO for high dimensional predictive regression," Journal of Econometrics, Elsevier, vol. 242(2).
    8. Lee, Ji Hyung & Shi, Zhentao & Gao, Zhan, 2022. "On LASSO for predictive regression," Journal of Econometrics, Elsevier, vol. 229(2), pages 322-349.
    9. Konstantin Styrin, 2019. "Forecasting Inflation in Russia Using Dynamic Model Averaging," Russian Journal of Money and Finance, Bank of Russia, vol. 78(1), pages 3-18, March.
    10. Liao, Jun & Zou, Guohua & Gao, Yan & Zhang, Xinyu, 2021. "Model averaging prediction for time series models with a diverging number of parameters," Journal of Econometrics, Elsevier, vol. 223(1), pages 190-221.
    11. Buncic, Daniel & Tischhauser, Martin, 2015. "Macroeconomic Factors and Equity Premium Predictability," Economics Working Paper Series 1522, University of St. Gallen, School of Economics and Political Science.
    12. Konstantin Styrin, 2018. "Forecasting inflation in Russia by Dynamic Model Averaging," Bank of Russia Working Paper Series wps39, Bank of Russia.
    13. Matteo Mogliani, 2019. "Bayesian MIDAS penalized regressions: estimation, selection, and prediction," Working papers 713, Banque de France.
    14. A. Girardi & R. Golinelli & C. Pappalardo, 2014. "The Role of Indicator Selection in Nowcasting Euro Area GDP in Pseudo Real Time," Working Papers wp919, Dipartimento Scienze Economiche, Universita' di Bologna.
    15. Yousuf, Kashif & Ng, Serena, 2021. "Boosting high dimensional predictive regressions with time varying parameters," Journal of Econometrics, Elsevier, vol. 224(1), pages 60-87.
    16. Karen Miranda & Pilar Poncela & Esther Ruiz, 2022. "Dynamic factor models: Does the specification matter?," SERIEs: Journal of the Spanish Economic Association, Springer;Spanish Economic Association, vol. 13(1), pages 397-428, May.
    17. Domenico Giannone & Michele Lenza & Giorgio E. Primiceri, 2021. "Economic Predictions With Big Data: The Illusion of Sparsity," Econometrica, Econometric Society, vol. 89(5), pages 2409-2437, September.
    18. Zhang, Yongli & Yang, Yuhong, 2015. "Cross-validation for selecting a model selection procedure," Journal of Econometrics, Elsevier, vol. 187(1), pages 95-112.
    19. Ziwei Mei & Zhentao Shi, 2022. "On LASSO for High Dimensional Predictive Regression," Papers 2212.07052, arXiv.org, revised Jan 2024.
    20. Massimo Guidolin & Manuela Pedio, 2022. "Switching Coefficients or Automatic Variable Selection: An Application in Forecasting Commodity Returns," Forecasting, MDPI, vol. 4(1), pages 1-32, February.
    21. Chu‐An Liu & Biing‐Shen Kuo, 2016. "Model averaging in predictive regressions," Econometrics Journal, Royal Economic Society, vol. 19(2), pages 203-231, June.
    22. Tom Boot & Didier Nibbering, 2016. "Forecasting Using Random Subspace Methods," Tinbergen Institute Discussion Papers 16-073/III, Tinbergen Institute, revised 11 Aug 2017.
    23. Tu, Yundong & Xie, Xinling, 2023. "Penetrating sporadic return predictability," Journal of Econometrics, Elsevier, vol. 237(1).
    24. Lu, Xun & Su, Liangjun, 2015. "Jackknife model averaging for quantile regressions," Journal of Econometrics, Elsevier, vol. 188(1), pages 40-58.
    25. Lodewijks, John & Stokes, Anthony & Wright, Sarah, 2016. "Economics: An elite subject soon only available in elite universities?," International Review of Economics Education, Elsevier, vol. 23(C), pages 1-9.
    26. Benjamin Poignard & Manabu Asai, 2023. "High‐dimensional sparse multivariate stochastic volatility models," Journal of Time Series Analysis, Wiley Blackwell, vol. 44(1), pages 4-22, January.
    27. Peng, Jingfu & Yang, Yuhong, 2022. "On improvability of model selection by model averaging," Journal of Econometrics, Elsevier, vol. 229(2), pages 246-262.
    28. Embaye, Weldensie T. & Zereyesus, Yacob A., 2017. "Measuring the value of housing services in household surveys: an application of machine learning approach," 2017 Annual Meeting, February 4-7, 2017, Mobile, Alabama 252851, Southern Agricultural Economics Association.
    29. Massimo Guidolin & Manuela Pedio, 2020. "Distilling Large Information Sets to Forecast Commodity Returns: Automatic Variable Selection or HiddenMarkov Models?," BAFFI CAREFIN Working Papers 20140, BAFFI CAREFIN, Centre for Applied Research on International Markets Banking Finance and Regulation, Universita' Bocconi, Milano, Italy.

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