DSGE Model-Based Forecasting

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1. What caused the Great Recession ?
   by Robert in Robert's Stochastic Thoughts on 2015-11-24 03:41:00

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1. > Schools of Economic Thought, Epistemology of Economics > Economic Methodology > Dynamic Stochastic General Equilibrium > Estimated DSGE Models > Forecasting with DSGE Models

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Cited by:

1. Caggiano, Giovanni & Castelnuovo, Efrem & Delrio, Silvia & Kima, Richard, 2021. "Financial uncertainty and real activity: The good, the bad, and the ugly," European Economic Review, Elsevier, vol. 136(C).
   • Giovanni Caggiano & Efrem Castelnuovo & Silvia Delrio & Richard Kima, 2020. "Financial Uncertainty and Real Activity: The Good, the Bad, and the Ugly," "Marco Fanno" Working Papers 0255, Dipartimento di Scienze Economiche "Marco Fanno".
   • Giovanni Caggiano & Efrem Castelnuovo & Silvia Delrio & Richard Kima, 2020. "Financial Uncertainty and Real Activity: The Good, the Bad, and the Ugly," CESifo Working Paper Series 8426, CESifo.
   • Giovanni Caggiano & Efrem Castelnuovo & Richard Kima & Silvia Delrio, 2020. "Financial uncertainty and real activity: The good, the bad, and the ugly," CAMA Working Papers 2020-67, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
2. Oxana Babecka Kucharcukova & Jan Bruha, 2016. "Nowcasting the Czech Trade Balance," Working Papers 2016/11, Czech National Bank.
3. Craig S. Hakkio & Jun Nie, 2014. "Implications of recent U.S. energy trends for trade forecasts," Economic Review, Federal Reserve Bank of Kansas City, issue Q IV, pages 29-51.
4. Poledna, Sebastian & Miess, Michael Gregor & Hommes, Cars & Rabitsch, Katrin, 2023. "Economic forecasting with an agent-based model," European Economic Review, Elsevier, vol. 151(C).
5. Galvão, Ana Beatriz & Giraitis, Liudas & Kapetanios, George & Petrova, Katerina, 2016. "A time varying DSGE model with financial frictions," Journal of Empirical Finance, Elsevier, vol. 38(PB), pages 690-716.
   • Ana Beatriz Galvão & Liudas Giraitis & George Kapetanios & Katerina Petrova, 2015. "A Time Varying DSGE Model with Financial Frictions," Working Papers 769, Queen Mary University of London, School of Economics and Finance.
6. Ca’ Zorzi, Michele & Kolasa, Marcin & Rubaszek, Michał, 2017. "Exchange rate forecasting with DSGE models," Journal of International Economics, Elsevier, vol. 107(C), pages 127-146.
   • Ca' Zorzi, Michele & Kolasa, Marcin & Rubaszek, Michał, 2016. "Exchange rate forecasting with DSGE models," Working Paper Series 1905, European Central Bank.
   • Marcin Kolasa & Michał Rubaszek & Michele Ca' Zorzi, 2017. "Exchange rate forecasting with DSGE models," NBP Working Papers 260, Narodowy Bank Polski.
7. S. Boragan Aruoba & Frank Schorfheide, 2013. "Macroeconomic dynamics near the ZLB: a tale of two equilibria," Working Papers 13-29, Federal Reserve Bank of Philadelphia.
8. Wieland, Volker & Wolters, Maik, 2013. "Forecasting and Policy Making," Handbook of Economic Forecasting, in: G. Elliott & C. Granger & A. Timmermann (ed.), Handbook of Economic Forecasting, edition 1, volume 2, chapter 0, pages 239-325, Elsevier.
   • Wieland, Volker & Wolters, Maik Hendrik, 2012. "Forecasting and policy making," IMFS Working Paper Series 62, Goethe University Frankfurt, Institute for Monetary and Financial Stability (IMFS).
9. Bekiros Stelios & Paccagnini Alessia, 2015. "Estimating point and density forecasts for the US economy with a factor-augmented vector autoregressive DSGE model," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 19(2), pages 107-136, April.
   • Stelios D. Bekiros & Alessia Paccagnini, 2014. "Estimating point and density forecasts for the US economy with a factor-augmented vector autoregressive DSGE model," Open Access publications 10197/7588, School of Economics, University College Dublin.
10. Michael Cai & Marco Del Negro & Edward Herbst & Ethan Matlin & Reca Sarfati & Frank Schorfheide, 2021. "Online estimation of DSGE models," The Econometrics Journal, Royal Economic Society, vol. 24(1), pages 33-58.
    • Michael Cai & Marco Del Negro & Edward Herbst & Ethan Matlin & Reca Sarfati & Frank Schorfheide, 2019. "Online Estimation of DSGE Models," PIER Working Paper Archive 19-014, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.
    • Michael Cai & Marco Del Negro & Edward P. Herbst & Ethan Matlin & Reca Sarfati & Frank Schorfheide, 2020. "Online Estimation of DSGE Models," Finance and Economics Discussion Series 2020-023, Board of Governors of the Federal Reserve System (U.S.).
    • Michael D. Cai & Marco Del Negro & Edward P. Herbst & Ethan Matlin & Reca Sarfati & Frank Schorfheide, 2020. "Online Estimation of DSGE Models," NBER Working Papers 26826, National Bureau of Economic Research, Inc.
    • Michael Cai & Marco Del Negro & Edward P. Herbst & Ethan Matlin & Reca Sarfati & Frank Schorfheide, 2019. "Online Estimation of DSGE Models," Staff Reports 893, Federal Reserve Bank of New York.
    • Michael Cai & Marco Del Negro & Edward P. Herbst & Ethan Matlin & Reca Sarfati & Frank Schorfheide, 2019. "Online Estimation of DSGE Models," Liberty Street Economics 20190821, Federal Reserve Bank of New York.
11. Wieland, Volker & Binder, Michael & Lieberknecht, Philipp & Quintana, Jorge, 2017. "Model Uncertainty in Macroeconomics: On the Implications of Financial Frictions," CEPR Discussion Papers 12013, C.E.P.R. Discussion Papers.
    • Binder, Michael & Lieberknecht, Philipp & Quintana, Jorge & Wieland, Volker, 2017. "Model uncertainty in macroeconomics: On the implications of financial frictions," IMFS Working Paper Series 114, Goethe University Frankfurt, Institute for Monetary and Financial Stability (IMFS).
12. Foroni, Claudia & Guérin, Pierre & Marcellino, Massimiliano, 2018. "Using low frequency information for predicting high frequency variables," International Journal of Forecasting, Elsevier, vol. 34(4), pages 774-787.
    • Claudia Foroni & Pierre Guérin & Massimiliano Marcellino, 2015. "Using low frequency information for predicting high frequency variables," Working Paper 2015/13, Norges Bank.
13. Anders Warne & Günter Coenen & Kai Christoffel, 2017. "Marginalized Predictive Likelihood Comparisons of Linear Gaussian State‐Space Models with Applications to DSGE, DSGE‐VAR, and VAR Models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 32(1), pages 103-119, January.
    • Warne, Anders & Coenen, Günter & Christoffel, Kai, 2014. "Marginalized predictive likelihood comparisons of linear Gaussian state-space models with applications to DSGE, DSGEVAR, and VAR models," CFS Working Paper Series 478, Center for Financial Studies (CFS).
14. Cardani, Roberta & Paccagnini, Alessia & Villa, Stefania, 2019. "Forecasting with instabilities: An application to DSGE models with financial frictions," Journal of Macroeconomics, Elsevier, vol. 61(C), pages 1-1.
    • Roberta Cardani & Alessia Paccagnini & Stefania Villa, 2015. "Forecasting with Instabilities: an Application to DSGE Models with Financial Frictions," Working Papers 201523, School of Economics, University College Dublin.
    • Roberta Cardani & Alessia Paccagnini & Stefania Villa, 2019. "Forecasting with instabilities: an application to DSGE models with financial frictions," Temi di discussione (Economic working papers) 1234, Bank of Italy, Economic Research and International Relations Area.
15. Pami Dua, 2023. "Macroeconomic Modelling and Bayesian Methods," Springer Books, in: Pami Dua (ed.), Macroeconometric Methods, chapter 0, pages 19-37, Springer.
    • Pami Dua, 2017. "Macroeconomic Modelling and Bayesian Methods," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 15(2), pages 209-226, June.
16. Breitung, Jörg & Eickmeier, Sandra, 2014. "Analyzing business and financial cycles using multi-level factor models," Discussion Papers 11/2014, Deutsche Bundesbank.
    • Jörg Breitung & Sandra Eickmeier, 2014. "Analyzing business and financial cycles using multi-level factor models," CAMA Working Papers 2014-43, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
17. Sergey Ivashchenko & Rangan Gupta, 2017. "Near-Rational Expectations: How Far are Surveys from Rationality?," Journal of Economics and Econometrics, Economics and Econometrics Society, vol. 60(1), pages 1-27.
    • Sergey Ivashchenko, 2014. "Near-Rational Expectations: How Far Are Surveys from Rationality?," EUSP Department of Economics Working Paper Series 2014/06, European University at St. Petersburg, Department of Economics.
    • Sergey Ivashchenko & Rangan Gupta, 2017. "Near-Rational Expectations: How Far are Surveys from Rationality?," EERI Research Paper Series EERI RP 2017/04, Economics and Econometrics Research Institute (EERI), Brussels.
    • Sergey Ivashchenko & Rangan Gupta, 2016. "Near-Rational Expectations: How Far are Surveys from Rationality?," Working Papers 201655, University of Pretoria, Department of Economics.
18. Francesco Furlanetto & Paolo Gelain & Marzie Taheri Sanjani, 2021. "Output Gap, Monetary Policy Trade-offs, and Financial Frictions," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 41, pages 52-70, July.
    • Francesco Furlanetto & Paolo Gelain & Marzie Taheri Sanjani, 2017. "Output gap, monetary policy trade-offs and financial frictions," Working Paper 2017/8, Norges Bank.
    • Francesco Furlanetto & Paolo Gelain & Marzie Sanjani, 2020. "Output Gap, Monetary Policy Trade-offs, and Financial Frictions," Working Papers 20-05, Federal Reserve Bank of Cleveland.
19. Jannsen, Nils & Wolters, Maik H., 2016. "Zu Produktionspotenzial und Produktionslücke in den Vereinigten Staaten," Kiel Insight 2016.2, Kiel Institute for the World Economy (IfW Kiel).
20. Lucia Alessi & Eric Ghysels & Luca Onorante & Richard Peach & Simon Potter, 2014. "Central Bank Macroeconomic Forecasting During the Global Financial Crisis: The European Central Bank and Federal Reserve Bank of New York Experiences," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 32(4), pages 483-500, October.
    • Onorante, Luca & Alessi, Lucia & Ghysels, Eric & Potter, Simon & Peach, Richard, 2014. "Central bank macroeconomic forecasting during the global financial crisis: the European Central Bank and Federal Reserve Bank of New York experiences," Working Paper Series 1688, European Central Bank.
    • Luci Alessi & Eric Ghysels & Luca Onorante & Richard Peach & Simon M. Potter, 2014. "Central bank macroeconomic forecasting during the global financial crisis: the European Central Bank and Federal Reserve Bank of New York experiences," Staff Reports 680, Federal Reserve Bank of New York.
21. Breitung, Jörg & Eickmeier, Sandra, 2015. "Analyzing business cycle asymmetries in a multi-level factor model," Economics Letters, Elsevier, vol. 127(C), pages 31-34.
22. Marco Del Negro & Marc P. Giannoni & Frank Schorfheide, 2015. "Inflation in the Great Recession and New Keynesian Models," American Economic Journal: Macroeconomics, American Economic Association, vol. 7(1), pages 168-196, January.
    • Marco Del Negro & Marc Giannoni & Frank Schorfheide, 2013. "Inflation in the Great Recession and New Keynesian models," Staff Reports 618, Federal Reserve Bank of New York.
    • Marc Giannoni & Frank Schorfheide & Marco Del Negro, 2014. "Inflation in the Great Recession and New Keynesian Models," 2014 Meeting Papers 506, Society for Economic Dynamics.
    • Marco Del Negro & Marc P. Giannoni & Frank Schorfheide, 2014. "Inflation in the Great Recession and New Keynesian Models," NBER Working Papers 20055, National Bureau of Economic Research, Inc.
23. Barde, Sylvain, 2020. "Macroeconomic simulation comparison with a multivariate extension of the Markov information criterion," Journal of Economic Dynamics and Control, Elsevier, vol. 111(C).
    • Sylvain Barde, 2019. "Macroeconomic simulation comparison with a multivariate extension of the Markov Information Criterion," Studies in Economics 1908, School of Economics, University of Kent.
24. Hess Chung & Edward Herbst & Michael T. Kiley, 2015. "Effective Monetary Policy Strategies in New Keynesian Models: A Reexamination," NBER Macroeconomics Annual, University of Chicago Press, vol. 29(1), pages 289-344.
    • Hess Chung & Edward Herbst & Michael T. Kiley, 2014. "Effective Monetary Policy Strategies in New Keynesian Models: A Reexamination," NBER Chapters, in: NBER Macroeconomics Annual 2014, Volume 29, pages 289-344, National Bureau of Economic Research, Inc.
    • Hess Chung & Edward Herbst & Michael T. Kiley, 2014. "Effective Monetary Policy Strategies in New Keynesian Models: A Re-examination," NBER Working Papers 20611, National Bureau of Economic Research, Inc.
25. Carlo Altavilla & Domenico Giannone, 2017. "The Effectiveness of Non‐Standard Monetary Policy Measures: Evidence from Survey Data," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 32(5), pages 952-964, August.
    • Giannone, Domenico & Altavilla, Carlo, 2014. "The Effectiveness of Non-Standard Monetary Policy Measures: Evidence from Survey Data," CEPR Discussion Papers 10001, C.E.P.R. Discussion Papers.
    • Altavilla, Carlo & Giannone, Domenico, 2016. "The effectiveness of non-standard monetary policy measures: evidence from survey data," Working Paper Series 1951, European Central Bank.
    • Carlo Altavilla & Domenico Giannone, 2014. "The effectiveness of non-standard monetary policy measures: evidence from survey data," Working Papers CASMEF 1406, Dipartimento di Economia e Finanza, LUISS Guido Carli.
    • Carlo Altavilla & Domenico Giannone, 2015. "The effectiveness of nonstandard monetary policy measures: evidence from survey data," Staff Reports 752, Federal Reserve Bank of New York.
    • Carlo Altavilla & Domenico Giannone, 2014. "The Effectiveness of Non-Standard Monetary Policy Measures: Evidence from Survey Data," Working Papers ECARES ECARES 2014-30, ULB -- Universite Libre de Bruxelles.
26. Hasumi, Ryo & Iiboshi, Hirokuni & Matsumae, Tatsuyoshi & Nakamura, Daisuke, 2019. "Does a financial accelerator improve forecasts during financial crises? Evidence from Japan with prediction-pooling methods," Journal of Asian Economics, Elsevier, vol. 60(C), pages 45-68.
27. Raffaella Giacomini, 2015. "Economic theory and forecasting: lessons from the literature," Econometrics Journal, Royal Economic Society, vol. 18(2), pages 22-41, June.
    • Raffaella Giacomini, 2014. "Economic theory and forecasting: lessons from the literature," CeMMAP working papers CWP41/14, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    • Giacomini, Raffaella, 2014. "Economic theory and forecasting: lessons from the literature," CEPR Discussion Papers 10201, C.E.P.R. Discussion Papers.
28. Ivashchenko, S., 2013. "Dynamic Stochastic General Equilibrium Model with Banks and Endogenous Defaults of Firms," Journal of the New Economic Association, New Economic Association, vol. 19(3), pages 27-50.
    • Sergey Ivashchenko, 2013. "Dynamic Stochastic General Equilibrium Model with Banks and Endogenous Defaults of Firms," EUSP Department of Economics Working Paper Series 2013/02, European University at St. Petersburg, Department of Economics.
29. Marco Del Negro, 2017. "EconomicDynamics Interview: Marco Del Negro about DSGE modelling in policy," EconomicDynamics Newsletter, Review of Economic Dynamics, vol. 18(1), April.
30. Aicha Kharazi, 2022. "Macroeconomic Effects of Collateral Requirements and Financial Shocks," BEMPS - Bozen Economics & Management Paper Series BEMPS93, Faculty of Economics and Management at the Free University of Bozen.
31. Canova, Fabio & Ferroni, Filippo, 2020. "A hitchhiker guide to empirical macro models," CEPR Discussion Papers 15446, C.E.P.R. Discussion Papers.
    • Fabio Canova & Filippo Ferroni, 2021. "A Hitchhiker’s Guide to Empirical Macro Models," Working Paper Series WP-2021-15, Federal Reserve Bank of Chicago, revised 03 Oct 2021.
32. Giannone, Domenico & Monti, Francesca & Reichlin, Lucrezia, 2016. "Exploiting the monthly data flow in structural forecasting," Journal of Monetary Economics, Elsevier, vol. 84(C), pages 201-215.
    • Domenico Giannone & Francesca Monti & Lucrezia Reichlin, 2014. "Exploiting the monthly data-flow in structural forecasting," Discussion Papers 1416, Centre for Macroeconomics (CFM).
    • Domenico Giannone & Francesca Monti & Lucrezia Reichlin, 2015. "Exploiting the monthly data flow in structural forecasting," Staff Reports 751, Federal Reserve Bank of New York.
    • Giannone, Domenico & Monti, Francesca & Reichlin, Lucrezia, 2014. "Exploiting the monthly data-flow in structural forecasting," LSE Research Online Documents on Economics 57998, London School of Economics and Political Science, LSE Library.
    • Giannone, Domenico & Monti , Francesca & Reichlin , Lucrezia, 2014. "Exploiting the monthly data flow in structural forecasting," Bank of England working papers 509, Bank of England.
33. Edward S. Knotek & Saeed Zaman, 2017. "Nowcasting U.S. Headline and Core Inflation," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 49(5), pages 931-968, August.
    • Edward S. Knotek & Saeed Zaman, 2014. "Nowcasting U.S. Headline and Core Inflation," Working Papers (Old Series) 1403, Federal Reserve Bank of Cleveland.
34. Inske Pirschel & Maik H. Wolters, 2018. "Forecasting with large datasets: compressing information before, during or after the estimation?," Empirical Economics, Springer, vol. 55(2), pages 573-596, September.
35. Hauber, Philipp, 2021. "How useful is external information from professional forecasters? Conditional forecasts in large factor models," EconStor Preprints 251469, ZBW - Leibniz Information Centre for Economics.
36. Pincheira, Pablo M. & West, Kenneth D., 2016. "A comparison of some out-of-sample tests of predictability in iterated multi-step-ahead forecasts," Research in Economics, Elsevier, vol. 70(2), pages 304-319.
37. Paccagnini, Alessia, 2017. "Dealing with Misspecification in DSGE Models: A Survey," MPRA Paper 82914, University Library of Munich, Germany.
38. Gern, Klaus-Jürgen & Hauber, Philipp & Jannsen, Nils & Kooths, Stefan & Plödt, Martin & Wolters, Maik H., 2016. "Weltkonjunktur im Frühjahr 2016 - Getrübte Aussichten für die Weltkonjunktur [World Economy Spring 2016 - Clouded outlook for the world economy]," Kieler Konjunkturberichte 15, Kiel Institute for the World Economy (IfW Kiel).
39. Patrick C. Higgins, 2014. "GDPNow: A Model for GDP \"Nowcasting\"," FRB Atlanta Working Paper 2014-7, Federal Reserve Bank of Atlanta.
40. Döpke, Jörg & Fritsche, Ulrich & Waldhof, Gaby, 2017. "Theories, techniques and the formation of German business cycle forecasts. Evidence from a survey among professional forecasters," Working Papers 2, German Research Foundation's Priority Programme 1859 "Experience and Expectation. Historical Foundations of Economic Behaviour", Humboldt University Berlin.
    • Jörg Döpke & Ulrich Fritsche & Gabi Waldhof, 2017. "Theories, techniques and the formation of German business cycle forecasts: Evidence from a survey among professional forecasters," Working Papers 2017-002, The George Washington University, Department of Economics, H. O. Stekler Research Program on Forecasting.
41. Edmond Berisha & David Gabauer & Rangan Gupta & Chi Keung Marco Lau, 2021. "Time-varying influence of household debt on inequality in United Kingdom," Empirical Economics, Springer, vol. 61(4), pages 1917-1933, October.
    • Edmond Berisha & David Gabauer & Rangan Gupta & Chi Keung Marco Lau, 2020. "Time-Varying Influence of Household Debt on Inequality in United Kingdom," Working Papers 202017, University of Pretoria, Department of Economics.
42. Herbst, Edward & Schorfheide, Frank, 2012. "Evaluating DSGE model forecasts of comovements," Journal of Econometrics, Elsevier, vol. 171(2), pages 152-166.
    • Edward P. Herbst & Frank Schorfheide, 2011. "Evaluating DSGE model forecasts of comovements," Working Papers 11-5, Federal Reserve Bank of Philadelphia.
    • Edward P. Herbst & Frank Schorfheide, 2012. "Evaluating DSGE model forecasts of comovements," Finance and Economics Discussion Series 2012-11, Board of Governors of the Federal Reserve System (U.S.).
43. 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.
44. Foroni, Claudia & Gelain, Paolo & Marcellino, Massimiliano, 2022. "The financial accelerator mechanism: does frequency matter?," Working Paper Series 2637, European Central Bank.
    • Claudia Foroni & Paolo Gelain & Massimiliano Marcellino, 2022. "The financial accelerator mechanism: does frequency matter?," Working Papers 22-29, Federal Reserve Bank of Cleveland.
45. Daragh Clancy & Rossana Merola, 2016. "ÉIRE Mod: A DSGE Model for Ireland," The Economic and Social Review, Economic and Social Studies, vol. 47(1), pages 1-31.
    • Clancy, Daragh & Merola, Rossana, 2014. "EIRE Mod- A DSGE Model for Ireland," Research Technical Papers 11/RT/14, Central Bank of Ireland.
46. Smets, Frank & Warne, Anders & Wouters, Raf, 2013. "Professional forecasters and the real-time forecasting performance of an estimated new keynesian model for the euro area," Working Paper Series 1571, European Central Bank.
47. Fritz Breuss, 2016. "Would DSGE Models have Predicted the Great Recession in Austria?," WIFO Working Papers 530, WIFO.
48. Shin, Minchul & Zhong, Molin, 2017. "Does realized volatility help bond yield density prediction?," International Journal of Forecasting, Elsevier, vol. 33(2), pages 373-389.
    • Minchul Shin & Molin Zhong, 2013. "Does realized volatility help bond yield density prediction?," PIER Working Paper Archive 13-064, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.
    • Minchul Shin & Molin Zhong, 2015. "Does Realized Volatility Help Bond Yield Density Prediction?," Finance and Economics Discussion Series 2015-115, Board of Governors of the Federal Reserve System (U.S.).
49. Gelfer, Sacha & Gibbs, Christopher G., 2023. "Measuring the effects of large-scale asset purchases: The role of international financial markets and the financial accelerator," Journal of International Money and Finance, Elsevier, vol. 131(C).
50. Bekiros, Stelios D. & Paccagnini, Alessia, 2014. "Bayesian forecasting with small and medium scale factor-augmented vector autoregressive DSGE models," Computational Statistics & Data Analysis, Elsevier, vol. 71(C), pages 298-323.
    • Stelios D. Bekiros & Alessia Paccagnini, 2014. "Bayesian forecasting with small and medium scale factor-augmented vector autoregressive DSGE models," Open Access publications 10197/7322, School of Economics, University College Dublin.
51. Jordi Galí, 2018. "The State of New Keynesian Economics: A Partial Assessment," Journal of Economic Perspectives, American Economic Association, vol. 32(3), pages 87-112, Summer.
    • Galí, Jordi, 2018. "The State of New Keynesian Economics: A Partial Assessment," CEPR Discussion Papers 13095, C.E.P.R. Discussion Papers.
    • Jordi Galí, 2018. "The State of New Keynesian Economics: A Partial Assessment," NBER Working Papers 24845, National Bureau of Economic Research, Inc.
52. Altug, Sumru & Çakmaklı, Cem, 2016. "Forecasting inflation using survey expectations and target inflation: Evidence for Brazil and Turkey," International Journal of Forecasting, Elsevier, vol. 32(1), pages 138-153.
    • Altug, Sumru & Çakmaklı, Cem, 2015. "Forecasting Inflation using Survey Expectations and Target Inflation: Evidence for Brazil and Turkey," CEPR Discussion Papers 10419, C.E.P.R. Discussion Papers.
53. Knotek, Edward S. & Zaman, Saeed, 2019. "Financial nowcasts and their usefulness in macroeconomic forecasting," International Journal of Forecasting, Elsevier, vol. 35(4), pages 1708-1724.
    • Edward S. Knotek & Saeed Zaman, 2017. "Financial Nowcasts and Their Usefulness in Macroeconomic Forecasting," Working Papers (Old Series) 1702, Federal Reserve Bank of Cleveland.
54. Diebold, Francis X. & Schorfheide, Frank & Shin, Minchul, 2017. "Real-time forecast evaluation of DSGE models with stochastic volatility," Journal of Econometrics, Elsevier, vol. 201(2), pages 322-332.
    • Francis X. Diebold & Frank Schorfheide & Minchul Shin, 2015. "Real-Time Forecast Evaluation of DSGE Models with Stochastic Volatility," PIER Working Paper Archive 15-018, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania, revised 01 May 2015.
    • Diebold, Francis X. & Schorfheide, Frank & Shin, Minchul, 2017. "Real-time forecast evaluation of DSGE models with stochastic volatility," CFS Working Paper Series 577, Center for Financial Studies (CFS).
    • Francis X. Diebold & Frank Schorfheide & Minchul Shin, 2016. "Real-Time Forecast Evaluation of DSGE Models with Stochastic Volatility," NBER Working Papers 22615, National Bureau of Economic Research, Inc.
55. Frank Schorfheide & Dongho Song, 2015. "Real-Time Forecasting With a Mixed-Frequency VAR," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 33(3), pages 366-380, July.
    • Frank Schorfheide & Dongho Song, 2012. "Real-time forecasting with a mixed-frequency VAR," Working Papers 701, Federal Reserve Bank of Minneapolis.
    • Frank Schorfheide & Dongho Song, 2013. "Real-Time Forecasting with a Mixed-Frequency VAR," NBER Working Papers 19712, National Bureau of Economic Research, Inc.
56. S Borağan Aruoba & Pablo Cuba-Borda & Frank Schorfheide, 2018. "Macroeconomic Dynamics Near the ZLB: A Tale of Two Countries," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 85(1), pages 87-118.
    • S. BoraÄŸan Aruoba & Pablo Cuba-Borda & Frank Schorfheide, 2012. "Macroeconomic Dynamics Near the ZLB: A Tale of Two Countries," PIER Working Paper Archive 14-035, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania, revised 19 Jun 2014.
    • S. Borağan Aruoba & Pablo Cuba-Borda & Frank Schorfheide, 2013. "Macroeconomic Dynamics Near the ZLB: A Tale of Two Countries," NBER Working Papers 19248, National Bureau of Economic Research, Inc.
    • S. Boragan Aruoba & Pablo A. Cuba-Borda & Frank Schorfheide, 2016. "Macroeconomic Dynamics Near the ZLB : A Tale of Two Countries," International Finance Discussion Papers 1163, Board of Governors of the Federal Reserve System (U.S.).
57. Rubaszek, Michał, 2021. "Forecasting crude oil prices with DSGE models," International Journal of Forecasting, Elsevier, vol. 37(2), pages 531-546.
    • Michał Rubaszek, 2019. "Forecasting crude oil prices with DSGE models," GRU Working Paper Series GRU_2019_024, City University of Hong Kong, Department of Economics and Finance, Global Research Unit.
58. Edward Herbst & Frank Schorfheide, 2014. "Sequential Monte Carlo Sampling For Dsge Models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 29(7), pages 1073-1098, November.
    • Edward P. Herbst & Frank Schorfheide, 2012. "Sequential Monte Carlo sampling for DSGE models," Working Papers 12-27, Federal Reserve Bank of Philadelphia.
    • Edward P. Herbst & Frank Schorfheide, 2013. "Sequential Monte Carlo Sampling for DSGE Models," NBER Working Papers 19152, National Bureau of Economic Research, Inc.
    • Edward P. Herbst & Frank Schorfheide, 2013. "Sequential Monte Carlo sampling for DSGE models," Finance and Economics Discussion Series 2013-43, Board of Governors of the Federal Reserve System (U.S.).
59. Shaun de Jager & Michael Johnston & Rudi Steinbach, 2015. "A Revised Quarterly Projection Model for South Africa," Working Papers 6839, South African Reserve Bank.
60. Sumru Altug & Cem Cakmakli, 2014. "Inflation Targeting and Inflation Expectations: Evidence for Brazil and Turkey," Koç University-TUSIAD Economic Research Forum Working Papers 1413, Koc University-TUSIAD Economic Research Forum.
61. Luca Sala, 2015. "Dsge Models in the Frequency Domains," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 30(2), pages 219-240, March.
    • Luca Sala, 2013. "DSGE models in the frequency domain," Working Papers 504, IGIER (Innocenzo Gasparini Institute for Economic Research), Bocconi University.
62. Döpke Jörg & Fritsche Ulrich & Waldhof Gabi, 2019. "Theories, Techniques and the Formation of German Business Cycle Forecasts : Evidence from a survey of professional forecasters," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 239(2), pages 203-241, April.
    • Jörg Döpke & Ulrich Fritsche & Gabi Waldhof, 2017. "Theories, techniques and the formation of German business cycle forecasts: Evidence from a survey of professional forecasters," Macroeconomics and Finance Series 201701, University of Hamburg, Department of Socioeconomics.
    • Döpke, Jörg & Waldhof, Gabi & Fritsche, Ulrich, 2018. "Theories, techniques and the formation of German business cycle forecasts: Evidence from a survey of professional forecasters," VfS Annual Conference 2018 (Freiburg, Breisgau): Digital Economy 181617, Verein für Socialpolitik / German Economic Association.
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64. Berg Tim Oliver, 2017. "Forecast accuracy of a BVAR under alternative specifications of the zero lower bound," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 21(2), pages 1-29, April.
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65. Gianni Amisano & John Geweke, 2017. "Prediction Using Several Macroeconomic Models," The Review of Economics and Statistics, MIT Press, vol. 99(5), pages 912-925, December.
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66. Ganics, Gergely & Odendahl, Florens, 2021. "Bayesian VAR forecasts, survey information, and structural change in the euro area," International Journal of Forecasting, Elsevier, vol. 37(2), pages 971-999.
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68. Bretscher, Lorenzo & Malkhozov, Aytek & Tamoni, Andrea, 2021. "Expectations and aggregate risk," Journal of Monetary Economics, Elsevier, vol. 123(C), pages 91-108.
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70. Del Negro, Marco & Hasegawa, Raiden B. & Schorfheide, Frank, 2016. "Dynamic prediction pools: An investigation of financial frictions and forecasting performance," Journal of Econometrics, Elsevier, vol. 192(2), pages 391-405.
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71. Edward S. Knotek & Saeed Zaman, 2014. "On the Relationships between Wages, Prices, and Economic Activity," Economic Commentary, Federal Reserve Bank of Cleveland, issue Aug.
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73. Todd E. Clark & Michael W. McCracken, 2014. "Evaluating Conditional Forecasts from Vector Autoregressions," Working Papers 2014-25, Federal Reserve Bank of St. Louis.
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75. Mehmet Balcilar & Rangan Gupta & Anandamayee Majumdar & Stephen M. Miller, 2012. "Was the Recent Downturn in US GDP Predictable?," Working Papers 201230, University of Pretoria, Department of Economics.
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76. Gulan, Adam, 2018. "Paradise lost? A brief history of DSGE macroeconomics," Bank of Finland Research Discussion Papers 22/2018, Bank of Finland.
77. Linde, Jesper & Smets, Frank & Wouters, Rafael, 2016. "Challenges for Central Banks' Macro Models," CEPR Discussion Papers 11405, C.E.P.R. Discussion Papers.
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80. Fabian Krüger & Todd E. Clark & Francesco Ravazzolo, 2017. "Using Entropic Tilting to Combine BVAR Forecasts With External Nowcasts," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 35(3), pages 470-485, July.
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81. Gelfer, Sacha, 2021. "Evaluating the forecasting power of an open-economy DSGE model when estimated in a data-Rich environment," Journal of Economic Dynamics and Control, Elsevier, vol. 129(C).
82. Pablo Guerróon‐Quintana & Molin Zhong, 2023. "Macroeconomic forecasting in times of crises," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 38(3), pages 295-320, April.
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83. Nalan Basturk & Cem Cakmakli & Pinar Ceyhan & Herman K. van Dijk, 2013. "Posterior-Predictive Evidence on US Inflation using Extended Phillips Curve Models with non-filtered Data," Koç University-TUSIAD Economic Research Forum Working Papers 1321, Koc University-TUSIAD Economic Research Forum.
84. Angelini, Elena & Lalik, Magdalena & Lenza, Michele & Paredes, Joan, 2019. "Mind the gap: A multi-country BVAR benchmark for the Eurosystem projections," International Journal of Forecasting, Elsevier, vol. 35(4), pages 1658-1668.
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87. Frank Schorfheide, 2012. "EconomicDynamics Interviews Frank Schorfheide on DSGE Model Estimation," EconomicDynamics Newsletter, Review of Economic Dynamics, vol. 13(2), April.
88. McAdam, Peter & Warne, Anders, 2019. "Euro area real-time density forecasting with financial or labor market frictions," International Journal of Forecasting, Elsevier, vol. 35(2), pages 580-600.
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89. D’Amico, Stefania & King, Thomas B., 2023. "What does anticipated monetary policy do?," Journal of Monetary Economics, Elsevier, vol. 138(C), pages 123-139.
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92. Clements, Michael P., 2016. "Long-run restrictions and survey forecasts of output, consumption and investment," International Journal of Forecasting, Elsevier, vol. 32(3), pages 614-628.
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93. Warne, Anders, 2023. "DSGE model forecasting: rational expectations vs. adaptive learning," Working Paper Series 2768, European Central Bank.
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100. Carriero, Andrea & Galvão, Ana Beatriz & Kapetanios, George, 2019. "A comprehensive evaluation of macroeconomic forecasting methods," International Journal of Forecasting, Elsevier, vol. 35(4), pages 1226-1239.
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101. Gelfer, Sacha & Gibbs, Christopher, 2021. "Comparing Monetary Policy Tools in an Estimated DSGE model with International Financial Markets," Working Papers 2021-13, University of Sydney, School of Economics.
102. Döpke Jörg & Fritsche Ulrich & Waldhof Gabi, 2019. "Theories, Techniques and the Formation of German Business Cycle Forecasts : Evidence from a survey of professional forecasters," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 239(2), pages 203-241, April.
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103. Solis-Garcia, Mario, 2017. "Yes we can! Teaching DSGE models to undergraduate students," MPRA Paper 81754, University Library of Munich, Germany.
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118. Burçin Kısacıkoğlu, 2020. "Real Term Structure and New Keynesian Models," International Journal of Central Banking, International Journal of Central Banking, vol. 16(3), pages 95-139, June.
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