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James M. Nason

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. Timothy Cogley & James M. Nason, 1993. "Output dynamics in real business cycle models," Working Papers in Applied Economic Theory 93-10, Federal Reserve Bank of San Francisco.

    Mentioned in:

    1. Krugman was looking under a lamppost
      by pushmedia1 in The Ambrosini Critique on 2009-09-17 21:42:26
    2. Real Business Cycles with a Human Capital Investment Sector and Endogenous Growth: Persistence, Volatility and Labor Puzzles
      by Christian Zimmermann in NEP-DGE blog on 2011-04-15 00:22:54
    3. Sobre recesiones, recuperaciones…. y previsiones
      by David López-Salido in Nada Es Gratis on 2009-09-18 08:27:36
  2. Cogley, Timothy & Nason, James M, 1995. "Output Dynamics in Real-Business-Cycle Models," American Economic Review, American Economic Association, vol. 85(3), pages 492-511, June.

    Mentioned in:

    1. Krugman was looking under a lamppost
      by pushmedia1 in The Ambrosini Critique on 2009-09-17 21:42:26
    2. Real Business Cycles with a Human Capital Investment Sector and Endogenous Growth: Persistence, Volatility and Labor Puzzles
      by Christian Zimmermann in NEP-DGE blog on 2011-04-15 00:22:54
    3. Sobre recesiones, recuperaciones…. y previsiones
      by David López-Salido in Nada Es Gratis on 2009-09-18 08:27:36
  3. Cogley, Timothy & Nason, James M., 1995. "Effects of the Hodrick-Prescott filter on trend and difference stationary time series Implications for business cycle research," Journal of Economic Dynamics and Control, Elsevier, vol. 19(1-2), pages 253-278.

    Mentioned in:

    1. On the Evils of Hodrick-Prescott Detrending
      by Francis Diebold in No Hesitations on 2016-08-17 18:45:00

RePEc Biblio mentions

As found on the RePEc Biblio, the curated bibliography of Economics:
  1. Cogley, Timothy & Nason, James M, 1995. "Output Dynamics in Real-Business-Cycle Models," American Economic Review, American Economic Association, vol. 85(3), pages 492-511, June.

    Mentioned in:

    1. > Macroeconomics > Economic Fluctuations > Real Business Cycle Theory

Working papers

  1. Elmar Mertens & James M. Nason, 2018. "Inflation and professional forecast dynamics: an evaluation of stickiness, persistence, and volatility," BIS Working Papers 713, Bank for International Settlements.

    Cited by:

    1. Joshy Easaw & Roberto Golinelli, 2022. "Professionals Inflation Forecasts: The Two Dimensions Of Forecaster Inattentiveness [“Sectoral and aggregate inflation dynamics in the euro area”]," Oxford Economic Papers, Oxford University Press, vol. 74(3), pages 701-720.
    2. Alberto Caruso & Laura Coroneo, 2023. "Does Real‐Time Macroeconomic Information Help to Predict Interest Rates?," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 55(8), pages 2027-2059, December.
    3. Geraldine Dany-Knedlik & Juan Angel Garcia, 2018. "Monetary Policy and Inflation Dynamics in ASEAN Economies," IMF Working Papers 2018/147, International Monetary Fund.
    4. Marcela De Castro-Valderrama & Santiago Forero-Alvarado & Nicolás Moreno-Arias & Sara Naranjo-Saldarriaga, 2021. "Unraveling the Exogenous Forces Behind Analysts’ Macroeconomic Forecasts," Borradores de Economia 1184, Banco de la Republica de Colombia.
    5. Mengheng Li & Siem Jan Koopman, 2021. "Unobserved components with stochastic volatility: Simulation‐based estimation and signal extraction," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 36(5), pages 614-627, August.
    6. Guido Ascari & Luca Fosso, 2021. "The Inflation Rate Disconnect Puzzle: On the International Component of Trend Inflation and the Flattening of the Phillips Curve," Working Paper 2021/17, Norges Bank.
    7. Lasha Kavtaradze & Manouchehr Mokhtari, 2018. "Factor Models And Time†Varying Parameter Framework For Forecasting Exchange Rates And Inflation: A Survey," Journal of Economic Surveys, Wiley Blackwell, vol. 32(2), pages 302-334, April.
    8. Diegel, Max, 2022. "Time-varying credibility, anchoring and the Fed's inflation target," Discussion Papers 2022/9, Free University Berlin, School of Business & Economics.
    9. Guido Ascari & Paolo Bonomolo & Qazi Haque, 2023. "The Long-Run Phillips Curve is ... a Curve," Working Papers 789, DNB.
    10. Francesca Rondina, 2018. "Estimating unobservable inflation expectations in the New Keynesian Phillips Curve," Working Papers 1804E, University of Ottawa, Department of Economics.
    11. García, Juan Angel & Poon, Aubrey, 2019. "Inflation trends in Asia: implications for central banks," Working Paper Series 2338, European Central Bank.
    12. Arnoud Stevens & Joris Wauters, 2021. "Is euro area lowflation here to stay? Insights from a time‐varying parameter model with survey data," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 36(5), pages 566-586, August.
    13. Chen, Ji & Yang, Xinglin & Liu, Xiliang, 2022. "Learning, disagreement and inflation forecasting," The North American Journal of Economics and Finance, Elsevier, vol. 63(C).
    14. Ricardo Reis, 2020. "The People versus the Markets: A Parsimonious Model of Inflation Expectations," Discussion Papers 2033, Centre for Macroeconomics (CFM).
    15. Jmaes McNeil, 2020. "Monetary policy and the term structure of Inflation expectations with information frictions," Working Papers daleconwp2020-07, Dalhousie University, Department of Economics.
    16. Hur, Joonyoung, 2018. "Time-varying information rigidities and fluctuations in professional forecasters' disagreement," Economic Modelling, Elsevier, vol. 75(C), pages 117-131.
    17. Karlyn Mitchell & Douglas K. Pearce, 2017. "Direct Evidence on Sticky Information from the Revision Behavior of Professional Forecasters," Southern Economic Journal, John Wiley & Sons, vol. 84(2), pages 637-653, October.
    18. Todd E. Clark & Gergely Ganics & Elmar Mertens, 2022. "Constructing Fan Charts from the Ragged Edge of SPF Forecasts," Working Papers 22-36, Federal Reserve Bank of Cleveland.
    19. Bowen Fu, Ivan Mendieta-Muñoz, 2023. "Structural shocks and trend inflation," Working Paper Series, Department of Economics, University of Utah 2023_04, University of Utah, Department of Economics.
    20. Aristidou, Chrystalleni, 2018. "The meta-Phillips Curve: Modelling U.S. inflation in the presence of regime change," Journal of Macroeconomics, Elsevier, vol. 57(C), pages 367-379.
    21. Meyer-Gohde, Alexander & Tzaawa-Krenzler, Mary, 2023. "Sticky information and the Taylor principle," IMFS Working Paper Series 189, Goethe University Frankfurt, Institute for Monetary and Financial Stability (IMFS).
    22. Huw Dixon & Joshy Easaw & Saeed Heravi, 2020. "Forecasting inflation gap persistence: Do financial sector professionals differ from nonfinancial sector ones?," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 25(3), pages 461-474, July.
    23. Barrera, Carlos, 2022. "Les Prévisions des Prévisionnistes Professionnels? Perou, 2009-2017 [Professional Forecasters' Expectations? Peru, 2009-2017]," MPRA Paper 114420, University Library of Munich, Germany.
    24. Joshua C.C. Chan & Todd E. Clark & Gary Koop, 2018. "A New Model of Inflation, Trend Inflation, and Long‐Run Inflation Expectations," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 50(1), pages 5-53, February.
    25. Monica Jain, 2018. "Sluggish Forecasts," Staff Working Papers 18-39, Bank of Canada.

  2. James M. Nason & Gregor W. Smith, 2014. "Measuring the Slowly Evolving Trend in US Inflation with Professional Forecasts," CAMA Working Papers 2014-07, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.

    Cited by:

    1. Easaw, Joshy & Heravi, Saeed & Dixon, Huw David, 2015. "Professionals Forecast of the Inflation Gap and its Persistence," Cardiff Economics Working Papers E2015/13, Cardiff University, Cardiff Business School, Economics Section.
    2. Elmar Mertens & James M. Nason, 2018. "Inflation and professional forecast dynamics: an evaluation of stickiness, persistence, and volatility," BIS Working Papers 713, Bank for International Settlements.
    3. Easaw, Joshy & Golinelli, Roberto, 2014. "Inflation Expectations and the Two Forms of Inattentiveness," Cardiff Economics Working Papers E2014/21, Cardiff University, Cardiff Business School, Economics Section.
    4. Jmaes McNeil, 2020. "Monetary policy and the term structure of Inflation expectations with information frictions," Working Papers daleconwp2020-07, Dalhousie University, Department of Economics.
    5. Joshua C C Chan & Yong Song, 2017. "Measuring inflation expectations uncertainty using high-frequency data," CAMA Working Papers 2017-61, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    6. Saeed Zaman, 2021. "A Unified Framework to Estimate Macroeconomic Stars," Working Papers 21-23R, Federal Reserve Bank of Cleveland, revised 15 Aug 2022.
    7. Easaw, Joshy, 2015. "Household Forming Inflation Expectations: Why Do They Overreact ?," Cardiff Economics Working Papers E2015/14, Cardiff University, Cardiff Business School, Economics Section.
    8. Bowen Fu, Ivan Mendieta-Muñoz, 2023. "Structural shocks and trend inflation," Working Paper Series, Department of Economics, University of Utah 2023_04, University of Utah, Department of Economics.
    9. Meyer-Gohde, Alexander & Tzaawa-Krenzler, Mary, 2023. "Sticky information and the Taylor principle," IMFS Working Paper Series 189, Goethe University Frankfurt, Institute for Monetary and Financial Stability (IMFS).
    10. Huw Dixon & Joshy Easaw & Saeed Heravi, 2020. "Forecasting inflation gap persistence: Do financial sector professionals differ from nonfinancial sector ones?," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 25(3), pages 461-474, July.
    11. Joshua C.C. Chan & Todd E. Clark & Gary Koop, 2018. "A New Model of Inflation, Trend Inflation, and Long‐Run Inflation Expectations," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 50(1), pages 5-53, February.

  3. Eric M. Leeper & James M. Nason, 2014. "Bringing Financial Stability into Monetary Policy," CAMA Working Papers 2014-72, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.

    Cited by:

    1. Richard T. Froyen & Alfred V Guender, 2016. "The Real Exchange Rate in Open-Economy Taylor Rules: A Re-Assessment," Working Papers in Economics 16/10, University of Canterbury, Department of Economics and Finance.
    2. Saroj Dhital & Pedro Gomis-Porqueras & Joseph H. Haslag, 2020. "Monetary and Fiscal Policy Interactions in a Frictional Model of Money, Nominal Public Debt and Banking," Working Papers 2002, Department of Economics, University of Missouri.
    3. Dominguez, Begona & Gomis-Porqueras, Pedro, 2016. "The Effects of Secondary Markets for Government Bonds on Inflation Dynamics," MPRA Paper 82444, University Library of Munich, Germany.
    4. Richard T. Froyen & Alfred V Guender, 2016. "What to Aim for? The Choice of an Inflation Objective When Openness Matters," Working Papers in Economics 16/09, University of Canterbury, Department of Economics and Finance.
    5. Ayesh Ariyasinghe & N. S. Cooray, 2021. "The Nexus Of Foreign Reserves, Exchange Rate And Inflation: Recent Empirical Evidence From Sri Lanka," South Asia Economic Journal, Institute of Policy Studies of Sri Lanka, vol. 22(1), pages 29-72, March.
    6. Leeper, E.M. & Leith, C., 2016. "Understanding Inflation as a Joint Monetary–Fiscal Phenomenon," Handbook of Macroeconomics, in: J. B. Taylor & Harald Uhlig (ed.), Handbook of Macroeconomics, edition 1, volume 2, chapter 0, pages 2305-2415, Elsevier.
    7. Campbell Leith & Eric Leeper, 2016. "Understanding Inflation as a Joint Monetary-Fiscal Phenomenon," Working Papers 2016_01, Business School - Economics, University of Glasgow.
    8. Christian Friedrich & Kristina Hess & Rose Cunningham, 2015. "Monetary Policy and Financial Stability: Cross-Country Evidence," Staff Working Papers 15-41, Bank of Canada.
    9. Diessner, Sebastian & Lisi, Giulio, 2019. "Masters of the ‘masters of the universe’? Monetary, fiscal and financial dominance in the Eurozone," LSE Research Online Documents on Economics 100754, London School of Economics and Political Science, LSE Library.
    10. Dominguez, Begona & Gomis-Porqueras, Pedro, 2016. "The Effects of Secondary Markets and Unsecured Credit on Inflation Dynamics," MPRA Paper 75096, University Library of Munich, Germany.
    11. Mester, Loretta J., 2017. "The nexus of macroprudential supervision, monetary policy, and financial stability," Journal of Financial Stability, Elsevier, vol. 30(C), pages 177-180.
    12. Stijn Claessens & M Ayhan Kose, 2018. "Frontiers of macrofinancial linkages," BIS Papers, Bank for International Settlements, number 95.
    13. Lewis, Vivien & Roth, Markus, 2018. "Interest rate rules under financial dominance," Discussion Papers 29/2018, Deutsche Bundesbank.
    14. Oparah Felix Chukwudi & James Tumba Henry, 2020. "Monetary Policy and Financial Stability in the Nigerian Banking Industry," International Journal of Financial Research, International Journal of Financial Research, Sciedu Press, vol. 11(1), pages 82-114, January.
    15. Donal Smith, 2016. "The International Impact of Financial Shocks: A Global VAR and Connectedness Measures Approach," Discussion Papers 16/07, Department of Economics, University of York.
    16. Vivien Lewis & Stefania Villa, 2016. "The Interdependence of Monetary and Macroprudential Policy under the Zero Lower Bound," Working Paper Research 310, National Bank of Belgium.
    17. Froyen, Richard T. & Guender, Alfred V., 2018. "The real exchange rate in Taylor rules: A Re-Assessment," Economic Modelling, Elsevier, vol. 73(C), pages 140-151.

  4. James M. Nason & Gregor W. Smith, 2013. "Reverse Kalman filtering U.S. inflation with sticky professional forecasts," Working Papers 13-34, Federal Reserve Bank of Philadelphia.

    Cited by:

    1. Marcela De Castro-Valderrama & Santiago Forero-Alvarado & Nicolás Moreno-Arias & Sara Naranjo-Saldarriaga, 2021. "Unraveling the Exogenous Forces Behind Analysts’ Macroeconomic Forecasts," Borradores de Economia 1184, Banco de la Republica de Colombia.
    2. Francesca Rondina, 2018. "Estimating unobservable inflation expectations in the New Keynesian Phillips Curve," Working Papers 1804E, University of Ottawa, Department of Economics.

  5. James M. Nason & Ellis W. Tallman, 2012. "Business Cycles and Financial Crises: The Roles of Credit Supply and Demand Shocks," CAMA Working Papers 2012-44, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.

    Cited by:

    1. Prieto, Esteban & Eickmeier, Sandra & Marcellino, Massimiliano, 2013. "Time variation in macro-financial linkages," Discussion Papers 13/2013, Deutsche Bundesbank.
    2. Milan Christian Wet & Ilse Botha, 2022. "Constructing and Characterising the Aggregate South African Financial Cycle: A Markov Regime-Switching Approach," Journal of Business Cycle Research, Springer;Centre for International Research on Economic Tendency Surveys (CIRET), vol. 18(1), pages 37-67, March.
    3. Dou Jiang & Mark Weder, 2021. "American Business Cycles 1889-1913: An Accounting Approach," Economics Working Papers 2021-02, Department of Economics and Business Economics, Aarhus University.
    4. 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.
    5. 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.
    6. Balke, Nathan S. & Zeng, Zheng & Zhang, Ren, 2021. "Identifying credit demand, financial intermediation, and supply of funds shocks: A structural VAR approach," The North American Journal of Economics and Finance, Elsevier, vol. 56(C).
    7. Fernando Arias Rodríguez & Celina Gaitán Maldonado & Johanna López Velandia, 2014. "Las entidades financieras a lo largo del ciclo de negocios: ¿está el ciclo financiero sincronizado con el ciclo de negocios?," Revista ESPE - Ensayos sobre Política Económica, Banco de la Republica de Colombia, vol. 32(75), pages 28-40, December.
    8. Domenico Giannone & Michele Lenza & Lucrezia Reichlin, 2019. "Money, Credit, Monetary Policy, and the Business Cycle in the Euro Area: What Has Changed Since the Crisis?," International Journal of Central Banking, International Journal of Central Banking, vol. 15(5), pages 137-173, December.
    9. Pooyan Amir-Ahmadi & Christian Matthes & Mu-Chun Wang, 2014. "Drifts, Volatilities, and Impulse Responses Over the Last Century," Working Paper 14-10, Federal Reserve Bank of Richmond.
    10. Ulrichs Magdalena, 2018. "Identification of Financial and Macroeconomic Shocks in a Var Model of the Polish Economy. A Stability Analysis," Economics and Business Review, Sciendo, vol. 4(1), pages 29-43, April.
    11. Jorge Mario Uribe & Inés María Ulloa & Johanna Perea, 2015. "Reference financial cycle in Colombia," Lecturas de Economía, Universidad de Antioquia, Departamento de Economía, issue 83, pages 33-62, Julio - D.
    12. 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.
    13. Breitung, Jörg & Eickmeier, Sandra, 2015. "Analyzing business cycle asymmetries in a multi-level factor model," Economics Letters, Elsevier, vol. 127(C), pages 31-34.
    14. James Morley, 2016. "Macro-Finance Linkages," Journal of Economic Surveys, Wiley Blackwell, vol. 30(4), pages 698-711, September.
    15. Simon Gilchrist & Egon Zakrajsek & Cristina Fuentes Albero & Dario Caldara, 2013. "On the Identification of Financial and Uncertainty Shocks," 2013 Meeting Papers 965, Society for Economic Dynamics.

  6. Pablo A Guerron-Quintana & James M Nason, 2012. "Bayesian Estimation of DSGE Models," CAMA Working Papers 2012-10, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.

    Cited by:

    1. Chen, Xiaoshan & Kirsanova, Tatiana & Leith, Campbell, 2013. "How Optimal is US Monetary Policy?," Stirling Economics Discussion Papers 2013-05, University of Stirling, Division of Economics.
    2. Shalva Mkhatrishvili & Zviad Zedginidze, 2015. "Modeling Macro-Fiscal Interlinkages: Case of Georgia," Central European Journal of Economic Modelling and Econometrics, Central European Journal of Economic Modelling and Econometrics, vol. 7(1), pages 15-41, March.
    3. Zbigniew Kuchta, 2014. "Sztywność płac nominalnych w modelach DSGE małej skali. Analiza empiryczna dla Polski," Gospodarka Narodowa. The Polish Journal of Economics, Warsaw School of Economics, issue 6, pages 31-56.
    4. Byaro, Mwoyo & Kinyondo, Abel, 2020. "Institutional Quality Explains the Difference of Natural Gas Revenues to Contribute in the Economy: Empirical Evidence from Tanzania," African Journal of Economic Review, African Journal of Economic Review, vol. 8(3), November.
    5. Munechika Katayama & Kwang Hwan Kim, 2013. "The Delayed Effects of Monetary Shocks in a Two-sector New Keynesian Model," Discussion papers e-13-003, Graduate School of Economics Project Center, Kyoto University.
    6. Christian Schoder, 2016. "Estimating Keynesian models of business fluctuations using Bayesian Maximum Likelihood," IMK Working Paper 162-2016, IMK at the Hans Boeckler Foundation, Macroeconomic Policy Institute.
    7. Rots, Eyno, 2017. "Imperfect information and the house price in a general-equilibrium model," Journal of Economic Dynamics and Control, Elsevier, vol. 83(C), pages 215-231.
    8. Baranowski, Paweł & Kuchta, Zbigniew, 2015. "Changes in nominal rigidities in Poland – a regime switching DSGE perspective," MPRA Paper 70573, University Library of Munich, Germany, revised Mar 2016.
    9. Paul Corrigan & Hélène Desgagnés & José Dorich & Vadym Lepetyuk & Wataru Miyamoto & Yang Zhang, 2021. "ToTEM III: The Bank of Canada’s Main DSGE Model for Projection and Policy Analysis," Technical Reports 119, Bank of Canada.
    10. Galvao, Ana Beatriz, 2016. "Data Revisions and DSGE Models," EMF Research Papers 11, Economic Modelling and Forecasting Group.
    11. Liu, Anyu & Wu, Doris Chenguang, 2019. "Tourism productivity and economic growth," Annals of Tourism Research, Elsevier, vol. 76(C), pages 253-265.
    12. Mariusz Górajski & Zbigniew Kuchta, 2022. "Which hallmarks of optimal monetary policy rules matter in Poland? A stochastic dominance approach," Bank i Kredyt, Narodowy Bank Polski, vol. 53(2), pages 149-182.
    13. Górajski Mariusz & Kuchta Zbigniew, 2018. "Measuring Uncertainty of Optimal Simple Monetary Policy Rules in DSGE models," Lodz Economics Working Papers 6/2018, University of Lodz, Faculty of Economics and Sociology.
    14. Górajski, Mariusz & Kuchta, Zbigniew & Leszczyńska-Paczesna, Agnieszka, 2023. "Price-setting heterogeneity and robust monetary policy in a two-sector DSGE model of a small open economy," Economic Modelling, Elsevier, vol. 122(C).

  7. Kano, Takashi & 加納, 隆 & Nason, James M., 2012. "Appendix: Business Cycle Implications of Internal Consumption Habit for New Keynesian Models," Discussion Papers 2012-08, Graduate School of Economics, Hitotsubashi University.

    Cited by:

    1. Araujo, Juliana D. & Li, Bin Grace & Poplawski-Ribeiro, Marcos & Zanna, Luis-Felipe, 2016. "Current account norms in natural resource rich and capital scarce economies," Journal of Development Economics, Elsevier, vol. 120(C), pages 144-156.
    2. Agenor, P.-R., 1997. "Capital-Market Imperfections and the Macroeconomic Dynamics of Small Indebted Economies," Princeton Studies in International Economics 82, International Economics Section, Departement of Economics Princeton University,.

  8. James M. Nason & Shaun P. Vahey, 2011. "UK World War I and Interwar Data for Business Cycle and Growth Analysis," CAMA Working Papers 2011-02, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.

    Cited by:

    1. Konstantakis, Konstantinos N. & Michaelides, Panayotis G., 2017. "Does technology cause business cycles in the USA? A Schumpeter-inspired approach," LSE Research Online Documents on Economics 80760, London School of Economics and Political Science, LSE Library.
    2. Konstantakis, Konstantinos N. & Michaelides, Panayotis G., 2017. "Technology and Business Cycles: A Schumpeterian Investigation for the USA," MPRA Paper 80636, University Library of Munich, Germany.

  9. Peter R. Hansen & Asger Lunde & James M. Nason, 2010. "The Model Confidence Set," CREATES Research Papers 2010-76, Department of Economics and Business Economics, Aarhus University.

    Cited by:

    1. Fantazzini, Dean, 2022. "Crypto Coins and Credit Risk: Modelling and Forecasting their Probability of Death," MPRA Paper 113744, University Library of Munich, Germany.
    2. Leopoldo Catania & Nima Nonejad, 2016. "Density Forecasts and the Leverage Effect: Some Evidence from Observation and Parameter-Driven Volatility Models," Papers 1605.00230, arXiv.org, revised Nov 2016.
    3. Han, Chulwoo & Park, Frank C., 2022. "A geometric framework for covariance dynamics," Journal of Banking & Finance, Elsevier, vol. 134(C).
    4. Gong, Xu & Lin, Boqiang, 2018. "The incremental information content of investor fear gauge for volatility forecasting in the crude oil futures market," Energy Economics, Elsevier, vol. 74(C), pages 370-386.
    5. Anna‐Lena Sachs & Michael Becker‐Peth & Stefan Minner & Ulrich W. Thonemann, 2022. "Empirical newsvendor biases: Are target service levels achieved effectively and efficiently?," Production and Operations Management, Production and Operations Management Society, vol. 31(4), pages 1839-1855, April.
    6. Robert Lehmann, 2016. "Economic Growth and Business Cycle Forecasting at the Regional Level," ifo Beiträge zur Wirtschaftsforschung, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, number 65.
    7. Fearghal Kearney & Han Lin Shang & Lisa Sheenan, 2019. "Implied volatility surface predictability: the case of commodity markets," Papers 1909.11009, arXiv.org.
    8. Mawuli Segnon & Rangan Gupta & Keagile Lesame & Mark E. Wohar, 2019. "High-Frequency Volatility Forecasting of US Housing Markets," Working Papers 201977, University of Pretoria, Department of Economics.
    9. Degiannakis, Stavros & Filis, George & Klein, Tony & Walther, Thomas, 2019. "Forecasting Realized Volatility of Agricultural Commodities," MPRA Paper 96267, University Library of Munich, Germany.
    10. Li, Yan & Liang, Chao & Ma, Feng & Wang, Jiqian, 2020. "The role of the IDEMV in predicting European stock market volatility during the COVID-19 pandemic," Finance Research Letters, Elsevier, vol. 36(C).
    11. Bauwens, Luc & Xu, Yongdeng, 2023. "DCC- and DECO-HEAVY: Multivariate GARCH models based on realized variances and correlations," International Journal of Forecasting, Elsevier, vol. 39(2), pages 938-955.
    12. Caroline Jardet & Baptiste Meunier, 2022. "Nowcasting world GDP growth with high‐frequency data," Post-Print hal-03647097, HAL.
    13. Louzis Dimitrios P., 2016. "Steady-state priors and Bayesian variable selection in VAR forecasting," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 20(5), pages 495-527, December.
    14. Manuel Lukas & Eric Hillebrand, 2014. "Bagging Weak Predictors," CREATES Research Papers 2014-01, Department of Economics and Business Economics, Aarhus University.
    15. Chao Liang & Yin Liao & Feng Ma & Bo Zhu, 2022. "United States Oil Fund volatility prediction: the roles of leverage effect and jumps," Empirical Economics, Springer, vol. 62(5), pages 2239-2262, May.
    16. Yan, Xiang & Bai, Jiancheng & Li, Xiafei & Chen, Zhonglu, 2022. "Can dimensional reduction technology make better use of the information of uncertainty indices when predicting volatility of Chinese crude oil futures?," Resources Policy, Elsevier, vol. 75(C).
    17. Asai, Manabu & Gupta, Rangan & McAleer, Michael, 2020. "Forecasting volatility and co-volatility of crude oil and gold futures: Effects of leverage, jumps, spillovers, and geopolitical risks," International Journal of Forecasting, Elsevier, vol. 36(3), pages 933-948.
    18. Nagapetyan, Artur, 2019. "Precondition stock and stock indices volatility modeling based on market diversification potential: Evidence from Russian market," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 56, pages 45-61.
    19. Byun, Suk Joon & Kim, Jun Sik, 2013. "The information content of risk-neutral skewness for volatility forecasting," Journal of Empirical Finance, Elsevier, vol. 23(C), pages 142-161.
    20. Pinto, Jeronymo Marcondes & Marçal, Emerson Fernandes, 2019. "Cross-validation based forecasting method: a machine learning approach," Textos para discussão 498, FGV EESP - Escola de Economia de São Paulo, Fundação Getulio Vargas (Brazil).
    21. Zargar, Faisal Nazir & Kumar, Dilip, 2020. "Modeling unbiased extreme value volatility estimator in presence of heterogeneity and jumps: A study with economic significance analysis," International Review of Economics & Finance, Elsevier, vol. 67(C), pages 25-41.
    22. Kim Christensen & Mathias Siggaard & Bezirgen Veliyev, 2021. "A machine learning approach to volatility forecasting," CREATES Research Papers 2021-03, Department of Economics and Business Economics, Aarhus University.
    23. Nowotarski, Jakub & Weron, Rafał, 2018. "Recent advances in electricity price forecasting: A review of probabilistic forecasting," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P1), pages 1548-1568.
    24. Aknouche, Abdelhakim & Francq, Christian, 2023. "Two-stage weighted least squares estimator of the conditional mean of observation-driven time series models," Journal of Econometrics, Elsevier, vol. 237(2).
    25. Bauwens, Luc & Chevillon, Guillaume & Laurent, Sébastien, 2023. "We modeled long memory with just one lag!," Journal of Econometrics, Elsevier, vol. 236(1).
    26. Alexander, Carol & Han, Yang & Meng, Xiaochun, 2023. "Static and dynamic models for multivariate distribution forecasts: Proper scoring rule tests of factor-quantile versus multivariate GARCH models," International Journal of Forecasting, Elsevier, vol. 39(3), pages 1078-1096.
    27. Małgorzata Doman & Ryszard Doman, 2013. "Dynamic linkages between stock markets: the effects of crises and globalization," Portuguese Economic Journal, Springer;Instituto Superior de Economia e Gestao, vol. 12(2), pages 87-112, August.
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    812. Wu, Xinyu & Xie, Haibin & Zhang, Huanming, 2022. "Time-varying risk aversion and renminbi exchange rate volatility: Evidence from CARR-MIDAS model," The North American Journal of Economics and Finance, Elsevier, vol. 61(C).
    813. Alejandro Parot & Kevin Michell & Werner D. Kristjanpoller, 2019. "Using Artificial Neural Networks to forecast Exchange Rate, including VAR‐VECM residual analysis and prediction linear combination," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 26(1), pages 3-15, January.
    814. Bonnier, Jean-Baptiste, 2022. "Forecasting crude oil volatility with exogenous predictors: As good as it GETS?," Energy Economics, Elsevier, vol. 111(C).
    815. Wang, Lu & Ma, Feng & Hao, Jianyang & Gao, Xinxin, 2021. "Forecasting crude oil volatility with geopolitical risk: Do time-varying switching probabilities play a role?," International Review of Financial Analysis, Elsevier, vol. 76(C).
    816. Klein, Tony, 2022. "Agree to disagree? Predictions of U.S. nonfarm payroll changes between 2008 and 2020 and the impact of the COVID19 labor shock," Journal of Economic Behavior & Organization, Elsevier, vol. 194(C), pages 264-286.
    817. Leopoldo Catania & Stefano Grassi & Francesco Ravazzolo, 2018. "Predicting the Volatility of Cryptocurrency Time�Series," Working Papers No 3/2018, Centre for Applied Macro- and Petroleum economics (CAMP), BI Norwegian Business School.
    818. Wang, Jiqian & Huang, Yisu & Ma, Feng & Chevallier, Julien, 2020. "Does high-frequency crude oil futures data contain useful information for predicting volatility in the US stock market? New evidence," Energy Economics, Elsevier, vol. 91(C).
    819. Yu‐Sheng Lai, 2023. "Optimal futures hedging by using realized semicovariances: The information contained in signed high‐frequency returns," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 43(5), pages 677-701, May.
    820. Hasanov, Akram Shavkatovich & Poon, Wai Ching & Al-Freedi, Ajab & Heng, Zin Yau, 2018. "Forecasting volatility in the biofuel feedstock markets in the presence of structural breaks: A comparison of alternative distribution functions," Energy Economics, Elsevier, vol. 70(C), pages 307-333.
    821. Chen Tong & Peter Reinhard Hansen, 2023. "Characterizing Correlation Matrices that Admit a Clustered Factor Representation," Papers 2308.05895, arXiv.org.
    822. Richard Gerlach & Chao Wang, 2016. "Bayesian Semi-parametric Realized-CARE Models for Tail Risk Forecasting Incorporating Realized Measures," Papers 1612.08488, arXiv.org.
    823. Richard Gerlach & Chao Wang, 2018. "Semi-parametric Dynamic Asymmetric Laplace Models for Tail Risk Forecasting, Incorporating Realized Measures," Papers 1805.08653, arXiv.org.
    824. Danyan Wen & Mengxi He & Yaojie Zhang & Yudong Wang, 2022. "Forecasting realized volatility of Chinese stock market: A simple but efficient truncated approach," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 41(2), pages 230-251, March.
    825. Dilip Kumar, 2018. "Modeling and Forecasting Unbiased Extreme Value Volatility Estimator in Presence of Leverage Effect," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 16(2), pages 313-335, June.
    826. Hsiang‐Tai Lee, 2022. "A Markov regime‐switching Cholesky GARCH model for directly estimating the dynamic of optimal hedge ratio," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 42(3), pages 389-412, March.
    827. James Lightwood & Steve Anderson & Stanton A Glantz, 2020. "Predictive validation and forecasts of short-term changes in healthcare expenditure associated with changes in smoking behavior in the United States," PLOS ONE, Public Library of Science, vol. 15(1), pages 1-18, January.
    828. Daniel Borup & Jonas N. Eriksen & Mads M. Kjær & Martin Thyrsgaard, 2020. "Predicting bond return predictability," CREATES Research Papers 2020-09, Department of Economics and Business Economics, Aarhus University.
    829. Shen, Lihua & Lu, Xinjie & Luu Duc Huynh, Toan & Liang, Chao, 2023. "Air quality index and the Chinese stock market volatility: Evidence from both market and sector indices," International Review of Economics & Finance, Elsevier, vol. 84(C), pages 224-239.
    830. Plíhal, Tomáš & Lyócsa, Štefan, 2021. "Modeling realized volatility of the EUR/USD exchange rate: Does implied volatility really matter?," International Review of Economics & Finance, Elsevier, vol. 71(C), pages 811-829.
    831. Ma, Feng & Zhang, Yaojie & Huang, Dengshi & Lai, Xiaodong, 2018. "Forecasting oil futures price volatility: New evidence from realized range-based volatility," Energy Economics, Elsevier, vol. 75(C), pages 400-409.
    832. Frank J. Fabozzi & Francesco A. Fabozzi & Diana Tunaru, 2023. "A comparison of multi-factor term structure models for interbank rates," Review of Quantitative Finance and Accounting, Springer, vol. 61(1), pages 323-356, July.
    833. Pham, Manh Cuong & Anderson, Heather Margot & Duong, Huu Nhan & Lajbcygier, Paul, 2020. "The effects of trade size and market depth on immediate price impact in a limit order book market," Journal of Economic Dynamics and Control, Elsevier, vol. 120(C).
    834. Wang, Yudong & Ma, Feng & Wei, Yu & Wu, Chongfeng, 2016. "Forecasting realized volatility in a changing world: A dynamic model averaging approach," Journal of Banking & Finance, Elsevier, vol. 64(C), pages 136-149.
    835. Grønborg, Niels S. & Lunde, Asger & Olesen, Kasper V. & Vander Elst, Harry, 2022. "Realizing correlations across asset classes," Journal of Financial Markets, Elsevier, vol. 59(PA).
    836. Selma Toker & Nimet Özbay & Kristofer Månsson, 2022. "Mixed data sampling regression: Parameter selection of smoothed least squares estimator," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 41(4), pages 718-751, July.
    837. Li, Zepei & Huang, Haizhen, 2023. "Challenges for volatility forecasts of US fossil energy spot markets during the COVID-19 crisis," International Review of Economics & Finance, Elsevier, vol. 86(C), pages 31-45.
    838. Fernandes, Marcelo & Vieira, Fausto, 2019. "A dynamic Nelson–Siegel model with forward-looking macroeconomic factors for the yield curve in the US," Journal of Economic Dynamics and Control, Elsevier, vol. 106(C), pages 1-1.
    839. Mawuli Segnon & Stelios Bekiros, 2019. "Forecasting Volatility in Cryptocurrency Markets," CQE Working Papers 7919, Center for Quantitative Economics (CQE), University of Muenster.
    840. Chen, Yixiang & Ma, Feng & Zhang, Yaojie, 2019. "Good, bad cojumps and volatility forecasting: New evidence from crude oil and the U.S. stock markets," Energy Economics, Elsevier, vol. 81(C), pages 52-62.
    841. Loïc Maréchal, 2021. "Do economic variables forecast commodity futures volatility?," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 41(11), pages 1735-1774, November.
    842. Nikolaos A. Kyriazis, 2021. "The Nexus of Sophisticated Digital Assets with Economic Policy Uncertainty: A Survey of Empirical Findings and an Empirical Investigation," Sustainability, MDPI, vol. 13(10), pages 1-25, May.
    843. Simon Fritzsch & Maike Timphus & Gregor Weiss, 2021. "Marginals Versus Copulas: Which Account For More Model Risk In Multivariate Risk Forecasting?," Papers 2109.10946, arXiv.org.

  10. Takashi Kano & James M. Nason, 2009. "Business Cycle Implications of Internal Consumption Habit for New Keynesian Model," CARF F-Series CARF-F-151, Center for Advanced Research in Finance, Faculty of Economics, The University of Tokyo.

    Cited by:

    1. Havranek, Tomas & Rusnak, Marek & Sokolova, Anna, 2017. "Habit formation in consumption: A meta-analysis," European Economic Review, Elsevier, vol. 95(C), pages 142-167.
    2. Pablo A. Guerrón-Quintana & James M. Nason, 2013. "Bayesian estimation of DSGE models," Chapters, in: Nigar Hashimzade & Michael A. Thornton (ed.), Handbook of Research Methods and Applications in Empirical Macroeconomics, chapter 21, pages 486-512, Edward Elgar Publishing.
    3. Araujo, Juliana D. & Li, Bin Grace & Poplawski-Ribeiro, Marcos & Zanna, Luis-Felipe, 2016. "Current account norms in natural resource rich and capital scarce economies," Journal of Development Economics, Elsevier, vol. 120(C), pages 144-156.
    4. Eric M. Leeper & Todd B. Walker & Shu-Chun Susan Yang, 2009. "Government Investment and Fiscal Stimulus in the Short and Long Runs," NBER Working Papers 15153, National Bureau of Economic Research, Inc.
    5. 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.
    6. Yoshiyuki Kurachi & Kazuhiro Hiraki & Shinichi Nishioka, 2016. "Does a Higher Frequency of Micro-level Price Changes Matter for Macro Price Stickiness?: Assessing the Impact of Temporary Price Changes," Bank of Japan Working Paper Series 16-E-9, Bank of Japan.
    7. Eric Leeper & Todd Walker, 2011. "Information Flows and News Driven Business Cycles," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 14(1), pages 55-71, January.
    8. Agenor, P.-R., 1997. "Capital-Market Imperfections and the Macroeconomic Dynamics of Small Indebted Economies," Princeton Studies in International Economics 82, International Economics Section, Departement of Economics Princeton University,.

  11. James M. Nason & Gregor W. Smith, 2008. "Great moderations and U.S. interest rates: unconditional evidence," FRB Atlanta Working Paper 2008-01, Federal Reserve Bank of Atlanta.

    Cited by:

    1. Keating, John W. & Valcarcel, Victor J., 2015. "The Time-Varying Effects Of Permanent And Transitory Shocks To Real Output," Macroeconomic Dynamics, Cambridge University Press, vol. 19(3), pages 477-507, April.
    2. Jesús Fernández-Villaverde & Pablo Guerrón-Quintana & Juan F. Rubio-Ramírez, 2014. "Estimating Dynamic Equilibrium Models with Stochastic Volatility," Working Papers 2014-11, FEDEA.
    3. Michelle Alexopoulos & Trevor Tombe, 2010. "Management Matters," Working Papers tecipa-406, University of Toronto, Department of Economics.
    4. Kurt G. Lunsford & Kenneth D. West, 2018. "Some Evidence on Secular Drivers of U.S. Safe Real Rates," NBER Working Papers 25288, National Bureau of Economic Research, Inc.
    5. Thorsten V. Koeppl, 2009. "How Flexible Can Inflation Targeting Be? Suggestions for the Future of Canada's Targeting Regime," C.D. Howe Institute Commentary, C.D. Howe Institute, issue 293, August.
    6. John W. Keating & Victor J. Valcarcel, 2012. "What's so Great about the Great Moderation? A Multi-Country Investigation of Time-Varying Volatilities of Output Growth and Inflation," WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS 201204, University of Kansas, Department of Economics.
    7. James M. Nason & Ellis W. Tallman, 2012. "Business cycles and financial crises: the roles of credit supply and demand shocks," Working Papers (Old Series) 1221, Federal Reserve Bank of Cleveland.
    8. Semih Emre Çekin & Victor J. Valcarcel, 2020. "Inflation volatility and inflation in the wake of the great recession," Empirical Economics, Springer, vol. 59(4), pages 1997-2015, October.
    9. Keating, John W. & Valcarcel, Victor J., 2017. "What's so great about the Great Moderation?," Journal of Macroeconomics, Elsevier, vol. 51(C), pages 115-142.

  12. James M. Nason & John H. Rogers, 2008. "Exchange rates and fundamentals: a generalization," FRB Atlanta Working Paper 2008-16, Federal Reserve Bank of Atlanta.

    Cited by:

    1. Kano, Takashi & Morita, Hiroshi, 2015. "An equilibrium foundation of the Soros chart," Journal of the Japanese and International Economies, Elsevier, vol. 37(C), pages 21-42.
    2. Anella Munro, 2014. "Exchange rates, expected returns and risk: UIP unbound," CAMA Working Papers 2014-73, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    3. Balke, Nathan S. & Ma, Jun & Wohar, Mark E., 2013. "The contribution of economic fundamentals to movements in exchange rates," Journal of International Economics, Elsevier, vol. 90(1), pages 1-16.
    4. Pau Rabanal & Juan F. Rubio-Ramirez & Vicente Tuesta, 2009. "Cointegrated TFP processes and international business cycles," FRB Atlanta Working Paper 2009-23, Federal Reserve Bank of Atlanta.
    5. Pau Rabanal & Juan F. Rubio-Ramirez, 2015. "Can international macroeconomic models explain low-frequency movements of real exchange rates?," Working Papers 1508, BBVA Bank, Economic Research Department.
    6. Jian Wang & Jason J. Wu, 2012. "The Taylor Rule and Forecast Intervals for Exchange Rates," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 44(1), pages 103-144, February.
    7. Bacchetta, Philippe & van Wincoop, Eric, 2013. "On the unstable relationship between exchange rates and macroeconomic fundamentals," Journal of International Economics, Elsevier, vol. 91(1), pages 18-26.

  13. William A. Brock & Steven N. Durlauf & James M. Nason & Giacomo Rondina, 2007. "Simple versus optimal rules as guides to policy," FRB Atlanta Working Paper 2007-07, Federal Reserve Bank of Atlanta.

    Cited by:

    1. Francesca Rondina, 2010. "Policy Evaluation and Uncertainty About the Effects of Oil Prices on Economic Activity," Working Papers 522, Barcelona School of Economics.
    2. Matthes, Christian & Rondina, Francesca, 2012. "Two-sided Learning in New Keynesian Models: Dynamics, (Lack of) Convergence and the Value of Information," Dynare Working Papers 19, CEPREMAP.
    3. Szabolcs Deák & Paul Levine & Afrasiab Mirza & Joseph Pearlman, 2019. "Designing Robust Monetary Policy Using Prediction Pools," School of Economics Discussion Papers 1219, School of Economics, University of Surrey.
    4. Di Bartolomeo, Giovanni & Di Pietro, Marco & Giannini, Bianca, 2016. "Optimal monetary policy in a New Keynesian model with heterogeneous expectations," Journal of Economic Dynamics and Control, Elsevier, vol. 73(C), pages 373-387.
    5. Stephen J. Turnovsky, 2011. "Stabilization Theory and Policy: 50 Years after the Phillips Curve," Economica, London School of Economics and Political Science, vol. 78(309), pages 67-88, January.
    6. Sargent, Thomas & Ellison, Martin, 2009. "A defence of the FOMC," CEPR Discussion Papers 7510, C.E.P.R. Discussion Papers.
    7. Giorgio Fagiolo & Andrea Roventini, 2016. "Macroeconomic Policy in DGSE and Agent-Based Models Redux: New Developments and Challenges Ahead," Sciences Po publications info:hdl:2441/dcditnq6282, Sciences Po.
    8. Giorgio Fagiolo & Andrea Roventini, 2012. "Macroeconomic Policy in DSGE and Agent-Based Models," Working Papers hal-04141079, HAL.
    9. Thomas A. Lubik & Christian Matthes & Fabio Verona, 2019. "Assessing U.S. Aggregate Fluctuations Across Time and Frequencies," Working Paper 19-6, Federal Reserve Bank of Richmond.
    10. G. Fagiolo & A. Roventini, 2009. "On the Scientific Status of Economic Policy: A Tale of Alternative Paradigms," Voprosy Ekonomiki, NP Voprosy Ekonomiki, issue 6.
    11. Giovanni Dosi & Andrea Roventini, 2019. "More is Different ... and Complex! The Case for Agent-Based Macroeconomics," LEM Papers Series 2019/01, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    12. Xiangrong Yu, 2013. "Measurement Error and Policy Evaluation in the Frequency Domain," Working Papers 172013, Hong Kong Institute for Monetary Research.
    13. Romar Correa, 2008. "Demand deposit banking and open market operations," Macroeconomics and Finance in Emerging Market Economies, Taylor & Francis Journals, vol. 1(1), pages 67-73.
    14. Francesca Rondina, 2010. "The role of model uncertainty and learning in the U.S. postwar policy response to oil prices," Working Papers 478, Barcelona School of Economics.
    15. Pataracchia, Beatrice, 2011. "The spectral representation of Markov switching ARMA models," Economics Letters, Elsevier, vol. 112(1), pages 11-15, July.
    16. Sbordone, Argia M., 2007. "Inflation persistence: Alternative interpretations and policy implications," Journal of Monetary Economics, Elsevier, vol. 54(5), pages 1311-1339, July.
    17. Di Bartolomeo Giovanni & Di Pietro Marco, 2015. "Optimal inflation targeting rule under positive hazard functions for price changes," wp.comunite 0116, Department of Communication, University of Teramo.
    18. Carson, Richard T & Murray, Jason H., 2012. "Fisheries Management Implications of Intrinsic Under Identification of Growth Equation Parameters," University of California at San Diego, Economics Working Paper Series qt8bw0b76s, Department of Economics, UC San Diego.
    19. Cohen-Cole, Ethan B. & Durlauf, Steven N. & Rondina, Giacomo, 2012. "Nonlinearities in growth: From evidence to policy," Journal of Macroeconomics, Elsevier, vol. 34(1), pages 42-58.
    20. Górajski, Mariusz & Kuchta, Zbigniew, 2023. "Coordination and non-coordination risks of monetary and macroprudential authorities: A robust welfare analysis," The North American Journal of Economics and Finance, Elsevier, vol. 67(C).
    21. Leeper, Eric M. & Nason, James M., 2015. "Bringing Financial Stability into Monetary Policy," Working Paper Series 305, Sveriges Riksbank (Central Bank of Sweden).
    22. Giorgio Fagiolo & Andrea Roventini, 2016. "Macroeconomic Policy in DGSE and Agent-Based Models Redux," Working Papers hal-03459348, HAL.
    23. Dück, Alexander & Verona, Fabio, 2023. "Robust frequency-based monetary policy rules," IMFS Working Paper Series 180, Goethe University Frankfurt, Institute for Monetary and Financial Stability (IMFS).
    24. Dück, Alexander & Verona, Fabio, 2023. "Monetary policy rules: model uncertainty meets design limits," Bank of Finland Research Discussion Papers 12/2023, Bank of Finland.
    25. William A. Brock & Steven N. Durlauf & Giacomo Rondina, 2008. "Frequency-Specific Effects of Stabilization Policies," American Economic Review, American Economic Association, vol. 98(2), pages 241-245, May.
    26. Górajski, Mariusz & Kuchta, Zbigniew & Leszczyńska-Paczesna, Agnieszka, 2023. "Price-setting heterogeneity and robust monetary policy in a two-sector DSGE model of a small open economy," Economic Modelling, Elsevier, vol. 122(C).

  14. Hall, Alastair & Inoue, Atsushi & Nason M, James & Rossi, Barbara, 2007. "Information Criteria for Impulse Response Function Matching Estimation of DSGE Models," Working Papers 07-04, Duke University, Department of Economics.

    Cited by:

    1. Müller, Gernot & Wolf, Martin & Hettig, Thomas, 2019. "Exchange Rate Undershooting: Evidence and Theory," CEPR Discussion Papers 13597, C.E.P.R. Discussion Papers.
    2. Patrick Fève & Julien Matheron & Jean‐Guillaume Sahuc, 2009. "Minimum Distance Estimation and Testing of DSGE Models from Structural VARs," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 71(6), pages 883-894, December.
    3. Rochelle M. Edge & Thomas Laubach & John C. Williams, 2010. "Welfare‐maximizing monetary policy under parameter uncertainty," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 25(1), pages 129-143, January.
    4. Karel Mertens & Morten Overgaard Ravn, 2010. "Online Appendix to "Understanding the Aggregate Effects of Anticipated and Unanticipated Tax Policy Shocks"," Online Appendices 09-221, Review of Economic Dynamics.
    5. Giovanni Pellegrino & Efrem Castelnuovo & Giovanni Caggiano, 2021. "Uncertainty and Monetary Policy during the Great Recession," Economics Working Papers 2021-05, Department of Economics and Business Economics, Aarhus University.
    6. Guerron-Quintana, Pablo & Inoue, Atsushi & Kilian, Lutz, 2017. "Impulse response matching estimators for DSGE models," Journal of Econometrics, Elsevier, vol. 196(1), pages 144-155.
    7. James Cloyne, 2014. "Government spending shocks, wealth effects and distortionary taxes," Discussion Papers 1413, Centre for Macroeconomics (CFM).
    8. Danthine, Jean-Pierre & Kurmann, André, 2010. "The business cycle implications of reciprocity in labor relations," Journal of Monetary Economics, Elsevier, vol. 57(7), pages 837-850, October.
    9. Niko Hauzenberger & Florian Huber & Luca Onorante, 2021. "Combining shrinkage and sparsity in conjugate vector autoregressive models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 36(3), pages 304-327, April.
    10. Giovanni Pellegrino & Efrem Castelnuovo & Giovanni Caggiano, 2020. "Uncertainty and Monetary Policy during Extreme Events," Economics Working Papers 2020-11, Department of Economics and Business Economics, Aarhus University.
    11. 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.
    12. Mario Martinoli & Alessio Moneta & Gianluca Pallante, 2022. "Calibration and Validation of Macroeconomic Simulation Models by Statistical Causal Search," LEM Papers Series 2022/33, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    13. Alastair R. Hall & Atsushi Inoue & James M Nason & Barbara Rossi, 2009. "Information Criteria for Impulse Response Function Matching Estimation of DSGE Models," Centre for Growth and Business Cycle Research Discussion Paper Series 127, Economics, The University of Manchester.
    14. Poghosyan, Karen & Boldea, Otilia, 2013. "Structural versus matching estimation: Transmission mechanisms in Armenia," Economic Modelling, Elsevier, vol. 30(C), pages 136-148.
    15. Lucy Minford & David Meenagh, 2020. "Supply-Side Policy and Economic Growth: A Case Study of the UK," Open Economies Review, Springer, vol. 31(1), pages 159-193, February.
    16. Anna Kormilitsina, 2009. "Oil Price Shocks and the Optimality of Monetary Policy," Departmental Working Papers 0901, Southern Methodist University, Department of Economics.
    17. Morten O. Ravn & Stephanie Schmitt-Grohė & Martín Uribe & Lenno Uusküla, 2010. "Deep Habits and the Dynamic Effects of Monetary Policy Shocks," NBER Chapters, in: Sticky Prices and Inflation Dynamics (NBER-TCER-CEPR), pages 236-258, National Bureau of Economic Research, Inc.
    18. Rui Faustino, 2019. "Endogenous Quality and Firm Entry," Working Papers REM 2019/0107, ISEG - Lisbon School of Economics and Management, REM, Universidade de Lisboa.
    19. Minford, Patrick & Wickens, Michael R. & Meenagh, David, 2012. "Testing macroeconomic models by indirect inference on unfiltered data," CEPR Discussion Papers 9058, C.E.P.R. Discussion Papers.
    20. Kilian, Lutz & Kim, Yun Jung, 2009. "Do Local Projections Solve the Bias Problem in Impulse Response Inference?," CEPR Discussion Papers 7266, C.E.P.R. Discussion Papers.
    21. Poghosyan, K., 2012. "Structural and reduced-form modeling and forecasting with application to Armenia," Other publications TiSEM ad1a24c3-15e6-4f04-b338-3, Tilburg University, School of Economics and Management.
    22. Karel Mertens & Morten O. Ravn, 2008. "The Aggregate Effects of Anticipated and Unanticipated U.S. Tax Policy Shocks: Theory and Empirical Evidence," Economics Working Papers ECO2008/05, European University Institute.
    23. Efrem Castelnuovo & Giovanni Pellegrino, 2018. "Uncertainty-dependent Effects of Monetary Policy Shocks: A New Keynesian Interpretation," Melbourne Institute Working Paper Series wp2018n02, Melbourne Institute of Applied Economic and Social Research, The University of Melbourne.
    24. Ronayne, David, 2011. "Which Impulse Response Function?," Economic Research Papers 270753, University of Warwick - Department of Economics.
    25. Özer Karagedikli & Troy Matheson & Christie Smith & Shaun P. Vahey, 2007. "RBCs and DSGEs:The Computational Approach to Business Cycle Theory and Evidence," Reserve Bank of New Zealand Discussion Paper Series DP2007/15, Reserve Bank of New Zealand.
    26. Riccardo DiCecio & Edward Nelson, 2007. "An estimated DSGE model for the United Kingdom," Review, Federal Reserve Bank of St. Louis, vol. 89(Jul), pages 215-232.
    27. Anna Mikusheva, 2014. "Estimation of dynamic stochastic general equilibrium models (in Russian)," Quantile, Quantile, issue 12, pages 1-21, February.
    28. Pablo A. Guerrón-Quintana & James M. Nason, 2013. "Bayesian estimation of DSGE models," Chapters, in: Nigar Hashimzade & Michael A. Thornton (ed.), Handbook of Research Methods and Applications in Empirical Macroeconomics, chapter 21, pages 486-512, Edward Elgar Publishing.
    29. Òscar Jordà & Sharon Kozicki, 2007. "Estimation and Inference by the Method of Projection Minimum Distance," Staff Working Papers 07-56, Bank of Canada.
    30. Meenagh, David & Minford, Patrick & Wickens, Michael & Xu, Yongdeng, 2018. "The small sample properties of Indirect Inference in testing and estimating DSGE models," Cardiff Economics Working Papers E2018/7, Cardiff University, Cardiff Business School, Economics Section.
    31. Michiru Sakane, 2010. "News-Driven International Business Cycles: Effects of the US News Shock on the Canadian Economy," Global COE Hi-Stat Discussion Paper Series gd09-129, Institute of Economic Research, Hitotsubashi University.
    32. Davidson, James & Meenagh, David & Minford, Patrick & Wickens, Michael, 2010. "Why crises happen - nonstationary macroeconomics," Cardiff Economics Working Papers E2010/13, Cardiff University, Cardiff Business School, Economics Section.
    33. Morten O. Ravn & Karel Mertens, 2009. "Understanding the Aggregate Effects of Anticipated and Unanticipated Tax Policy shocks," 2009 Meeting Papers 480, Society for Economic Dynamics.
    34. Punnoose Jacob & Lenno Uuskula, 2016. "Deep habits and exchange rate pass-through," CAMA Working Papers 2016-17, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    35. Daniil Lomonosov, 2023. "Shocks of Business Activity and Specific Shocks to Oil Market in DSGE Model of Russian Economy and Their Influence Under Different Monetary Policy Regimes," Russian Journal of Money and Finance, Bank of Russia, vol. 82(4), pages 44-79, December.
    36. Le, Vo Phuong Mai & Meenagh, David & Minford, Patrick & Wickens, Michael, 2011. "How much nominal rigidity is there in the US economy? Testing a new Keynesian DSGE model using indirect inference," Journal of Economic Dynamics and Control, Elsevier, vol. 35(12), pages 2078-2104.
    37. Ruge-Murcia, Francisco, 2020. "Estimating nonlinear dynamic equilibrium models by matching impulse responses," Economics Letters, Elsevier, vol. 197(C).
    38. Meenagh, David & Minford, Patrick & Wickens, Michael & Xu, Yongdeng, 2018. "Testing DSGE Models by indirect inference: a survey of recent findings," Cardiff Economics Working Papers E2018/14, Cardiff University, Cardiff Business School, Economics Section.
    39. Luca Brugnolini, 2018. "About Local Projection Impulse Response Function Reliability," CEIS Research Paper 440, Tor Vergata University, CEIS, revised 09 Jun 2018.
    40. Michael Creel & Dennis Kristensen, 2015. "On Selection of Statistics for Approximate Bayesian Computing or the Method of Simulated Moments," UFAE and IAE Working Papers 950.15, Unitat de Fonaments de l'Anàlisi Econòmica (UAB) and Institut d'Anàlisi Econòmica (CSIC), revised 27 Feb 2015.
    41. Theodoridis, Konstantinos, 2011. "An efficient minimum distance estimator for DSGE models," Bank of England working papers 439, Bank of England.
    42. Fève, Patrick & Matheron, Julien & Sahuc, Jean-Guillaume, 2007. "Optimal Monetary Policy and Technological Shocks in the Post-War US Business Cycle," IDEI Working Papers 484, Institut d'Économie Industrielle (IDEI), Toulouse.
    43. Tayebeh Sadat Tabatabaei & Pedram Asef, 2021. "Evaluation of Energy Price Liberalization in Electricity Industry: A Data-Driven Study on Energy Economics," Energies, MDPI, vol. 14(22), pages 1-19, November.
    44. Giovanni Angelini & Giuseppe Cavaliere & Luca Fanelli, 2022. "Bootstrap inference and diagnostics in state space models: With applications to dynamic macro models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 37(1), pages 3-22, January.
    45. Guay, Alain & Pelgrin, Florian, 2023. "Structural VAR models in the Frequency Domain," Journal of Econometrics, Elsevier, vol. 236(1).
    46. Prosper Donovon & Alastair R. Hall, 2015. "GMM and Indirect Inference: An appraisal of their connections and new results on their properties under second order identification," Economics Discussion Paper Series 1505, Economics, The University of Manchester.
    47. Matteo Barigozzi & Roxana Halbleib & David Veredas, 2012. "Which model to match?," Working Papers 1229, Banco de España.
    48. Jang, Tae-Seok, 2012. "Structural estimation of the New-Keynesian Model: a formal test of backward- and forward-looking expectations," MPRA Paper 40278, University Library of Munich, Germany.
    49. Giraitis, Liudas & Kapetanios, George & Theodoridis, Konstantinos & Yates, Tony, 2014. "Estimating time-varying DSGE models using minimum distance methods," Bank of England working papers 507, Bank of England.
    50. Jang, Tae-Seok, 2012. "Structural estimation of the New-Keynesian model: A formal test of backward- and forward-looking behavior," Economics Working Papers 2012-07, Christian-Albrechts-University of Kiel, Department of Economics.
    51. Cengiz Tunc & Denis Pelletier, 2013. "Endogenous Life-Cycle Housing Investment and Portfolio Allocation," Working Papers 1345, Research and Monetary Policy Department, Central Bank of the Republic of Turkey.
    52. Francisco RUGE-MURCIA, 2014. "Indirect Inference Estimation of Nonlinear Dynamic General Equilibrium Models : With an Application to Asset Pricing under Skewness Risk," Cahiers de recherche 15-2014, Centre interuniversitaire de recherche en économie quantitative, CIREQ.
    53. 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.
    54. Jang, Tae-Seok, 2012. "Structural estimation of the New-Keynesian Model: a formal test of backward- and forward-looking expectations," MPRA Paper 39669, University Library of Munich, Germany.

  15. Jim Nason & Barbara Rossi & Atsushi Inoue & Alastair Hall, 2007. "Information Criteria for Impulse Response Function Matching Estimation," 2007 Meeting Papers 293, Society for Economic Dynamics.

    Cited by:

    1. Patrick Fève & Julien Matheron & Jean‐Guillaume Sahuc, 2009. "Minimum Distance Estimation and Testing of DSGE Models from Structural VARs," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 71(6), pages 883-894, December.
    2. Rochelle M. Edge & Thomas Laubach & John C. Williams, 2010. "Welfare‐maximizing monetary policy under parameter uncertainty," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 25(1), pages 129-143, January.
    3. Danthine, Jean-Pierre & Kurmann, André, 2010. "The business cycle implications of reciprocity in labor relations," Journal of Monetary Economics, Elsevier, vol. 57(7), pages 837-850, October.
    4. Alastair R. Hall & Atsushi Inoue & James M Nason & Barbara Rossi, 2009. "Information Criteria for Impulse Response Function Matching Estimation of DSGE Models," Centre for Growth and Business Cycle Research Discussion Paper Series 127, Economics, The University of Manchester.
    5. Anna Kormilitsina, 2009. "Oil Price Shocks and the Optimality of Monetary Policy," Departmental Working Papers 0901, Southern Methodist University, Department of Economics.
    6. Morten O. Ravn & Stephanie Schmitt-Grohė & Martín Uribe & Lenno Uusküla, 2010. "Deep Habits and the Dynamic Effects of Monetary Policy Shocks," NBER Chapters, in: Sticky Prices and Inflation Dynamics (NBER-TCER-CEPR), pages 236-258, National Bureau of Economic Research, Inc.
    7. Karel Mertens & Morten Overgaard Ravn, 2011. "Understanding the Aggregate Effects of Anticipated and Unanticipated Tax Policy Shocks," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 14(1), pages 27-54, January.
    8. Kilian, Lutz & Kim, Yun Jung, 2009. "Do Local Projections Solve the Bias Problem in Impulse Response Inference?," CEPR Discussion Papers 7266, C.E.P.R. Discussion Papers.
    9. Karel Mertens & Morten O. Ravn, 2008. "The Aggregate Effects of Anticipated and Unanticipated U.S. Tax Policy Shocks: Theory and Empirical Evidence," Economics Working Papers ECO2008/05, European University Institute.
    10. Ronayne, David, 2011. "Which Impulse Response Function?," Economic Research Papers 270753, University of Warwick - Department of Economics.
    11. Özer Karagedikli & Troy Matheson & Christie Smith & Shaun P. Vahey, 2007. "RBCs and DSGEs:The Computational Approach to Business Cycle Theory and Evidence," Reserve Bank of New Zealand Discussion Paper Series DP2007/15, Reserve Bank of New Zealand.
    12. Riccardo DiCecio & Edward Nelson, 2007. "An estimated DSGE model for the United Kingdom," Review, Federal Reserve Bank of St. Louis, vol. 89(Jul), pages 215-232.
    13. Òscar Jordà & Sharon Kozicki, 2007. "Estimation and Inference by the Method of Projection Minimum Distance," Staff Working Papers 07-56, Bank of Canada.
    14. Theodoridis, Konstantinos, 2011. "An efficient minimum distance estimator for DSGE models," Bank of England working papers 439, Bank of England.
    15. Fève, Patrick & Matheron, Julien & Sahuc, Jean-Guillaume, 2007. "Optimal Monetary Policy and Technological Shocks in the Post-War US Business Cycle," IDEI Working Papers 484, Institut d'Économie Industrielle (IDEI), Toulouse.

  16. James M. Nason & Shaun P. Vahey, 2007. "The McKenna rule and U.K. World War I finance," FRB Atlanta Working Paper 2007-03, Federal Reserve Bank of Atlanta.

    Cited by:

    1. James M. Nason & Shaun P. Vahey, 2011. "UK World War I and interwar data for business cycle and growth analysis," Working Papers 11-10, Federal Reserve Bank of Philadelphia.
    2. Teupe, Sebastian, 2020. "Keynes, Inflation, and the Public Debt: "How to Pay for the War" as a Policy Prescription for Financial Repression?," Working Papers 16, German Research Foundation's Priority Programme 1859 "Experience and Expectation. Historical Foundations of Economic Behaviour", Humboldt University Berlin.

  17. James M. Nason & Shaun P. Vahey, 2006. "Interwar U.K. unemployment: the Benjamin and Kochin hypothesis or the legacy of “just” taxes?," FRB Atlanta Working Paper 2006-04, Federal Reserve Bank of Atlanta.

    Cited by:

    1. Jinzhu Chen & Prakash Kannan & Prakash Loungani & Bharat Trehan, 2012. "New evidence on cyclical and structural sources of unemployment," Proceedings, Federal Reserve Bank of San Francisco, issue March, pages 1-23.

  18. James M. Nason & Gregor W. Smith, 2005. "Identifying the New Keynesian Phillips curve," FRB Atlanta Working Paper 2005-01, Federal Reserve Bank of Atlanta.

    Cited by:

    1. Khalaf, Lynda & Lin, Zhenjiang, 2021. "Projection-based inference with particle swarm optimization," Journal of Economic Dynamics and Control, Elsevier, vol. 128(C).
    2. Beyer, Andreas & Farmer, Roger E. A., 2004. "On the indeterminacy of new-Keynesian economics," Working Paper Series 323, European Central Bank.
    3. Byrne, Joseph P. & Kontonikas, Alexandros & Montagnoliz, Alberto, 2010. "International Evidence on the New Keynesian Phillips Curve Using Aggregate and Disaggregate Data," SIRE Discussion Papers 2010-57, Scottish Institute for Research in Economics (SIRE).
    4. Medel, Carlos A., 2017. "Forecasting Chilean Inflation with the Hybrid New Keynesian Phillips Curve: Globalisation, Combination, and Accuracy," MPRA Paper 78439, University Library of Munich, Germany.
    5. Lily Y. Liu, 2017. "Estimating Loss Given Default from CDS under Weak Identification," Supervisory Research and Analysis Working Papers RPA 17-1, Federal Reserve Bank of Boston.
    6. Hülya Saygılı, 2020. "The nature of trade, global production fragmentation and inflationary dynamics: Cross‐country evidence," The World Economy, Wiley Blackwell, vol. 43(7), pages 2007-2031, July.
    7. Samir Ben Ali, 2013. "Estimating the New Keynesian Phillips Curve for Tunisia: Empirical Issues," Middle East Development Journal, Taylor & Francis Journals, vol. 5(3), pages 1350016-131, January.
    8. Dufour, Jean-Marie & Khalaf, Lynda & Kichian, Maral, 2010. "On the precision of Calvo parameter estimates in structural NKPC models," Journal of Economic Dynamics and Control, Elsevier, vol. 34(9), pages 1582-1595, September.
    9. Scheufele, Rolf, 2008. "Evaluating the German (New Keynesian) Phillips Curve," IWH Discussion Papers 10/2008, Halle Institute for Economic Research (IWH).
    10. Michael McLeay & Silvana Tenreyro, 2018. "Optimal Inflation and the Identification of the Phillips Curve," Discussion Papers 1815, Centre for Macroeconomics (CFM).
    11. Johannes Fedderke & Yang Liu, 2016. "Inflation in South Africa An Assessment of Alternative Inflation Models," Working Papers 7275, South African Reserve Bank.
    12. Yasufumi Gemma & Takushi Kurozumi & Mototsugu Shintani, 2017. "Trend Inflation and Evolving Inflation Dynamics: A Bayesian GMM Analysis of the Generalized New Keynesian Phillips Curve," IMES Discussion Paper Series 17-E-10, Institute for Monetary and Economic Studies, Bank of Japan.
    13. Jondeau, Eric & Imbs, Jean & Pelgrin, Florian, 2007. "Aggregating Phillips Curves," CEPR Discussion Papers 6184, C.E.P.R. Discussion Papers.
    14. Ricardo Nunes, 2010. "Inflation Dynamics: The Role of Expectations," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 42(6), pages 1161-1172, September.
    15. Dufour, Jean-Marie & Khalaf, Lynda & Kichian, Maral, 2010. "Estimation uncertainty in structural inflation models with real wage rigidities," Computational Statistics & Data Analysis, Elsevier, vol. 54(11), pages 2554-2561, November.
    16. André Kurmann, 2004. "Maximum Likelihood Estimation of Dynamic Stochastic Theories with an Application to New Keynesian Pricing," Macroeconomics 0409028, University Library of Munich, Germany.
    17. Ida Wolden Bache & Bjørn E. Naug, 2008. "Estimating New Keynesian import price models," Working Paper 2007/15, Norges Bank.
    18. Dufour, Jean-Marie & Khalaf, Lynda & Kichian, Maral, 2013. "Identification-robust analysis of DSGE and structural macroeconomic models," Journal of Monetary Economics, Elsevier, vol. 60(3), pages 340-350.
    19. Marcellino, Massimiliano & Kapetanios, George & Khalaf, Lynda, 2015. "Factor based identification-robust inference in IV regressions," CEPR Discussion Papers 10390, C.E.P.R. Discussion Papers.
    20. Donald W.K. Andrews & James H. Stock, 2005. "Inference with Weak Instruments," NBER Technical Working Papers 0313, National Bureau of Economic Research, Inc.
    21. Gary Koop & M. Hashem Pesaran & Ron P. Smith, 2013. "On Identification of Bayesian DSGE Models," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 31(3), pages 300-314, July.
    22. Frank Schorfheide, 2008. "DSGE model-based estimation of the New Keynesian Phillips curve," Economic Quarterly, Federal Reserve Bank of Richmond, vol. 94(Fall), pages 397-433.
    23. Sophocles Mavroeidis, 2006. "Testing the New Keynesian Phillips Curve Without Assuming Identification," Working Papers 2006-13, Brown University, Department of Economics.
    24. Manuel Arellano & Lars Peter Hansen & Enrique Sentana, 2009. "Underidentification?," CeMMAP working papers CWP24/09, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    25. Fabio Canova, 2007. "How much structure in empirical models?," Economics Working Papers 1054, Department of Economics and Business, Universitat Pompeu Fabra.
    26. Dees, Stephane & Pesaran, M. Hashem & Smith, L. Vanessa & Smith, Ron P., 2008. "Identification of New Keynesian Phillips Curves from a Global Perspective," IZA Discussion Papers 3298, Institute of Labor Economics (IZA).
    27. Dladla, Pholile & Malikane, Christopher, 2022. "Inflation dynamics in an emerging market: The case of South Africa," Economic Analysis and Policy, Elsevier, vol. 73(C), pages 262-271.
    28. Jean-Marie Dufour & Lynda Khalaf & Maral Kichian, 2009. "Structural Inflation Models with Real Wage Rigidities: The Case of Canada," Staff Working Papers 09-21, Bank of Canada.
    29. Frode Brevik & Manfred Gärtner, 2005. "Partisan Theory and the New Keynesian and Sticky-Information Phillips Curves," University of St. Gallen Department of Economics working paper series 2005 2005-25, Department of Economics, University of St. Gallen.
    30. Bratsiotis, George J. & Robinson, Wayne A., 2016. "Unit Total Costs: An Alternative Marginal Cost Proxy For Inflation Dynamics," Macroeconomic Dynamics, Cambridge University Press, vol. 20(7), pages 1826-1849, October.
    31. Murray, James, 2011. "Learning and judgment shocks in U.S. business cycles," MPRA Paper 29257, University Library of Munich, Germany.
    32. A. Nazif Çatik & Christopher Martin & A. Özlem Onder, 2011. "Relative price variability and the Phillips Curve: evidence from Turkey," Journal of Economic Studies, Emerald Group Publishing Limited, vol. 38(5), pages 546-561, September.
    33. Malikane, Christopher, 2013. "A New Keynesian Triangle Phillips Curve," MPRA Paper 43548, University Library of Munich, Germany.
    34. Sophocles Mavroeidis & Mikkel Plagborg-Møller & James H. Stock, 2014. "Empirical Evidence on Inflation Expectations in the New Keynesian Phillips Curve," Journal of Economic Literature, American Economic Association, vol. 52(1), pages 124-188, March.
    35. Thomas Hasenzagl & Filippo Pellegrino & Lucrezia Reichlin & Giovanni Ricco, 2020. "A Model of the Fed's View on Inflation," Papers 2006.14110, arXiv.org.
    36. Bec, Frédérique & Kanda, Patrick, 2020. "Is inflation driven by survey-based, VAR-based or myopic expectations? An empirical assessment from US real-time data," The North American Journal of Economics and Finance, Elsevier, vol. 51(C).
    37. Omer Bayar, 2022. "Reducing large datasets to improve the identification of estimated policy rules," Empirical Economics, Springer, vol. 63(1), pages 113-140, July.
    38. Maral Kichian & Milana Mihic, 2018. "How important are wealth effects on consumption in Canada?," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 51(3), pages 784-798, August.
    39. Fabio Canova & Luca Sala, 2005. "Back to square one: Identification issues in DSGE models," Economics Working Papers 927, Department of Economics and Business, Universitat Pompeu Fabra, revised Sep 2006.
    40. Konstantin Styrin & Oleg Zamulin, 2012. "A Real Exchange Rate Based Phillips Curve," Working Papers w0179, Center for Economic and Financial Research (CEFIR).
    41. Alexander Doser & Ricardo Nunes & Nikhil Rao & Viacheslav Sheremirov, 2023. "Inflation expectations and nonlinearities in the Phillips curve," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 38(4), pages 453-471, June.
    42. Rumler, Fabio & Valderrama, Maria Teresa, 2010. "Comparing the New Keynesian Phillips Curve with time series models to forecast inflation," The North American Journal of Economics and Finance, Elsevier, vol. 21(2), pages 126-144, August.
    43. Jean-Marie Dufour & Lynda Khalaf & Maral Kichian, 2005. "Inflation Dynamics and the New Keynesian Phillips Curve: an Identification Robust Econometric Analysis," CIRANO Working Papers 2005s-30, CIRANO.
    44. Thomas Lubik & Frank Schorfheide, 2003. "Do Central Banks Respond to Exchange Rate Movements? A Structural Investigation," Economics Working Paper Archive 505, The Johns Hopkins University,Department of Economics.
    45. Zongwu Cai & Ying Fang & Henong Li, 2012. "Weak Instrumental Variables Models for Longitudinal Data," Econometric Reviews, Taylor & Francis Journals, vol. 31(4), pages 361-389.
    46. Panovska, Irina & Ramamurthy, Srikanth, 2022. "Decomposing the output gap with inflation learning," Journal of Economic Dynamics and Control, Elsevier, vol. 136(C).
    47. Carlos Medel, 2015. "Inflation Dynamics and the Hybrid Neo Keynesian Phillips Curve: The Case of Chile," Working Papers Central Bank of Chile 769, Central Bank of Chile.
    48. Medel, Carlos A., 2015. "Forecasting Inflation with the Hybrid New Keynesian Phillips Curve: A Compact-Scale Global VAR Approach," MPRA Paper 67081, University Library of Munich, Germany.
    49. Martin Fukac & Adrian R. Pagan, 2010. "Structural macro-econometric modelling in a policy environment," Research Working Paper RWP 10-08, Federal Reserve Bank of Kansas City.
    50. Agénor, Pierre-Richard & Bayraktar, Nihal, 2010. "Contracting models of the Phillips curve empirical estimates for middle-income countries," Journal of Macroeconomics, Elsevier, vol. 32(2), pages 555-570, June.
    51. Nyberg, Henri & Saikkonen, Pentti, 2012. "Forecasting with a noncausal VAR model," Bank of Finland Research Discussion Papers 33/2012, Bank of Finland.
    52. Bertille Antoine & Otilia, 2015. "Inference in linear models with structural changes and mixed identification strength," Discussion Papers dp15-05, Department of Economics, Simon Fraser University.
    53. Boug, Pål & Cappelen, Adne & Swensen, Anders Rygh, 2010. "The new Keynesian Phillips curve revisited," Journal of Economic Dynamics and Control, Elsevier, vol. 34(5), pages 858-874, May.
    54. Andreas Beyer & Roger E. A. Farmer & Jérôme Henry & Massimiliano Marcellino, 2007. "Factor Analysis in a Model with Rational Expectations," NBER Working Papers 13404, National Bureau of Economic Research, Inc.
    55. Toshihiro Okada, 2017. "Time to Innovate and Aggregate Fluctuations: a New Keynesian Model with Endogenous Technology," Discussion Paper Series 154, School of Economics, Kwansei Gakuin University, revised Dec 2018.
    56. Orland, Andreas & Roos, Michael W. M., 2011. "The New Keynesian Phillips Curve with Myopic Agents," Ruhr Economic Papers 281, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    57. Inoue, Atsushi & Rossi, Barbara, 2011. "Testing for weak identification in possibly nonlinear models," Journal of Econometrics, Elsevier, vol. 161(2), pages 246-261, April.
    58. Smith, Gregor W., 2009. "Pooling forecasts in linear rational expectations models," Journal of Economic Dynamics and Control, Elsevier, vol. 33(11), pages 1858-1866, November.
    59. Fanelli, Luca, 2007. "Evaluating the New Keynesian Phillips Curve under VAR-based learning," MPRA Paper 1616, University Library of Munich, Germany.
    60. Eva M. Köberl & Sarah M. Lein, 2011. "The NIRCU and the Phillips curve: an approach based on micro data," Canadian Journal of Economics, Canadian Economics Association, vol. 44(2), pages 673-694, May.
    61. Fabio Canova, 2009. "Comment to "Weak instruments robust tests in GMM and the New Keynesian Phillips curve" by Frank Kleibergen and Sophocles Mavroeidis," Economics Working Papers 1159, Department of Economics and Business, Universitat Pompeu Fabra.
    62. Luca Fanelli, 2008. "Testing the New Keynesian Phillips Curve Through Vector Autoregressive Models: Results from the Euro Area," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 70(1), pages 53-66, February.
    63. Harvey, A., 2008. "Modeling the Phillips curve with unobserved components," Cambridge Working Papers in Economics 0805, Faculty of Economics, University of Cambridge.
    64. Bayar, Omer, 2018. "Weak instruments and estimated monetary policy rules," Journal of Macroeconomics, Elsevier, vol. 58(C), pages 308-317.
    65. Abbas, Syed K. & Bhattacharya, Prasad Sankar & Sgro, Pasquale, 2016. "The new Keynesian Phillips curve: An update on recent empirical advances," International Review of Economics & Finance, Elsevier, vol. 43(C), pages 378-403.
    66. Carrillo, Julio A. & Fève, Patrick, 2004. "Some Perils of Policy Rule Regression," IDEI Working Papers 301, Institut d'Économie Industrielle (IDEI), Toulouse.
    67. Vijay Victor & Joshy Joseph Karakunnel & Swetha Loganathan & Daniel Francois Meyer, 2021. "From a Recession to the COVID-19 Pandemic: Inflation–Unemployment Comparison between the UK and India," Economies, MDPI, vol. 9(2), pages 1-19, May.
    68. Orland, Andreas & Roos, Michael W.M., 2019. "Price-setting with quadratic adjustment costs: Experimental evidence," Journal of Economic Behavior & Organization, Elsevier, vol. 163(C), pages 88-116.
    69. Jinho Choi & Juan Carlos Escanciano & Junjie Guo, 2022. "Generalized band spectrum estimation with an application to the New Keynesian Phillips curve," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 37(5), pages 1055-1078, August.
    70. Lanne, Markku & Luoto, Jani, 2011. "Autoregression-Based Estimation of the New Keynesian Phillips Curve," MPRA Paper 29801, University Library of Munich, Germany.
    71. Kushal Banik Chowdhury & Nityananda Sarkar, 2017. "Is the Hybrid New Keynesian Phillips Curve Stable? Evidence from Some Emerging Economies," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 15(3), pages 427-449, September.
    72. Òscar Jordà & Fernanda Nechio, 2020. "Inflation Globally," Central Banking, Analysis, and Economic Policies Book Series, in: Gonzalo Castex & Jordi Galí & Diego Saravia (ed.),Changing Inflation Dynamics,Evolving Monetary Policy, edition 1, volume 27, chapter 8, pages 269-316, Central Bank of Chile.
    73. Luger, Richard, 2006. "Exact permutation tests for non-nested non-linear regression models," Journal of Econometrics, Elsevier, vol. 133(2), pages 513-529, August.
    74. James M. Nason & Gregor W. Smith, 2008. "The New Keynesian Phillips curve : lessons from single-equation econometric estimation," Economic Quarterly, Federal Reserve Bank of Richmond, vol. 94(Fall), pages 361-395.
    75. Vicente da Gama Machado & Marcelo Savino Portugal, 2014. "Phillips curve in Brazil: an unobserved components approach," Working Papers Series 354, Central Bank of Brazil, Research Department.
    76. Luca Fanelli, 2009. "Estimation of quasi-rational DSGE monetary models," Quaderni di Dipartimento 3, Department of Statistics, University of Bologna.
    77. Eijffinger, Sylvester C.W. & Qian, Zongxin, 2016. "Trade openness and the Phillips curve: The neglected heterogeneity and robustness of empirical evidence," International Review of Economics & Finance, Elsevier, vol. 44(C), pages 13-18.
    78. Michael B. Devereux & Gregor W. Smith, 2018. "Commodity Currencies and Monetary Policy," NBER Working Papers 25076, National Bureau of Economic Research, Inc.
    79. James Murray, 2008. "Initial Expectations in New Keynesian Models with Learning," CAEPR Working Papers 2008-017, Center for Applied Economics and Policy Research, Department of Economics, Indiana University Bloomington.
    80. Bertille Antoine & Otilia Boldea, 2015. "Efficient Inference with Time-Varying Information and the New Keynesian Phillips Curve," Discussion Papers dp15-04, Department of Economics, Simon Fraser University, revised 25 Aug 2016.
    81. Ben Ali, Samir, 2010. "A New Keynesian Phillips curve for Tunisia : Estimation and analysis of sensitivity," MPRA Paper 29624, University Library of Munich, Germany.
    82. Hae-shin Hwang & Woong Kim, 2012. "Estimation of Hybrid Phillips Curve: A Source of Conflicting Empirical Results," Southern Economic Journal, John Wiley & Sons, vol. 78(4), pages 1265-1288, April.
    83. Carlos Medel, 2021. "Searching for the Best Inflation Forecasters within a Consumer Perceptions Survey: Microdata Evidence from Chile," Working Papers Central Bank of Chile 899, Central Bank of Chile.
    84. Christopher Malikane & Tshepo Mokoka, 2014. "The new Keynesian Phillips curve: endogeneity and misspecification," Applied Economics, Taylor & Francis Journals, vol. 46(25), pages 3082-3089, September.
    85. Blasques, Francisco & Duplinskiy, Artem, 2018. "Penalized indirect inference," Journal of Econometrics, Elsevier, vol. 205(1), pages 34-54.
    86. Derek Stimel, 2010. "Choice of Aggregate Demand Proxy and its Affect on Phillips Curve Nonlinearity: U.S. Evidence," Economics Bulletin, AccessEcon, vol. 30(1), pages 543-557.
    87. Zongwu Cai & Henong Li, 2013. "Convergency and Divergency of Functional Coefficient Weak Instrumental Variables Models," Working Papers 2013-10-14, Wang Yanan Institute for Studies in Economics (WISE), Xiamen University.
    88. Torój, Andrzej, 2010. "Adjustment capacity in a monetary union: a DSGE evaluation of Poland and Slovakia," MF Working Papers 4, Ministry of Finance in Poland, revised 11 May 2010.
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    90. Aristidou, Chrystalleni, 2018. "The meta-Phillips Curve: Modelling U.S. inflation in the presence of regime change," Journal of Macroeconomics, Elsevier, vol. 57(C), pages 367-379.
    91. Jondeau, Eric & Le Bihan, Hervé, 2008. "Examining bias in estimators of linear rational expectations models under misspecification," Journal of Econometrics, Elsevier, vol. 143(2), pages 375-395, April.
    92. Martin Fukac & Adrian Pagan, 2006. "Issues in Adopting DSGE Models for Use in the Policy Process," Working Papers 2006/6, Czech National Bank.
    93. Alain Guay & Florian Pelgrin, 2016. "Using Implied Probabilities to Improve the Estimation of Unconditional Moment Restrictions for Weakly Dependent Data," Econometric Reviews, Taylor & Francis Journals, vol. 35(3), pages 344-372, March.
    94. Gomes, Orlando, 2012. "Thought experimentation and the Phillips curve," Research in Economics, Elsevier, vol. 66(1), pages 45-64.
    95. Jang, Tae-Seok, 2012. "Structural estimation of the New-Keynesian Model: a formal test of backward- and forward-looking expectations," MPRA Paper 40278, University Library of Munich, Germany.
    96. Lena Vogel, 2008. "The Relationship between the Hybrid New Keynesian Phillips Curve and the NAIRU over Time," Macroeconomics and Finance Series 200803, University of Hamburg, Department of Socioeconomics.
    97. Erika Gulyas & Richard Startz, 2005. "The Tradeoff between Inflation and the Real Economy: Forward-Looking Behavior and the Inflation Premium," Working Papers UWEC-2005-25, University of Washington, Department of Economics.
    98. Nuno Alves, 2004. "A Flexible View on Prices," Working Papers w200406, Banco de Portugal, Economics and Research Department.
    99. Hülya Saygılı, 2020. "Sectoral inflationary dynamics: cross-country evidence on the open-economy New Keynesian Phillips Curve," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 156(1), pages 75-101, February.
    100. Jang, Tae-Seok, 2012. "Structural estimation of the New-Keynesian model: A formal test of backward- and forward-looking behavior," Economics Working Papers 2012-07, Christian-Albrechts-University of Kiel, Department of Economics.
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    113. Bertille Antoine & Otilia Boldea, 2014. "Efficient Inference with Time-Varying Identification Strength," Discussion Papers dp14-03, Department of Economics, Simon Fraser University.

  19. Shaun P. Vahey & James M. Nason, 2005. "Over the Top: U.K. World War I Finance and Its Aftermath," Computing in Economics and Finance 2005 22, Society for Computational Economics.

    Cited by:

    1. James M Nason & Shaun P Vahey, 2007. "The McKenna Rule and UK World War I Finance," Reserve Bank of New Zealand Discussion Paper Series DP2007/08, Reserve Bank of New Zealand.

  20. Peter Reinhard Hansen & Asger Lunde & James M. Nason, 2005. "Model confidence sets for forecasting models," FRB Atlanta Working Paper 2005-07, Federal Reserve Bank of Atlanta.

    Cited by:

    1. McAleer, M.J. & Jiménez-Martín, J.A. & Pérez-Amaral, T., 2010. "GFC-Robust Risk Management Strategies under the Basel Accord," Econometric Institute Research Papers EI 2010-59, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    2. Ralf Becker & Adam Clements, 2007. "Are combination forecasts of S&P 500 volatility statistically superior?," NCER Working Paper Series 17, National Centre for Econometric Research.
    3. Andersen, Torben G. & Bollerslev, Tim & Christoffersen, Peter F. & Diebold, Francis X., 2006. "Volatility and Correlation Forecasting," Handbook of Economic Forecasting, in: G. Elliott & C. Granger & A. Timmermann (ed.), Handbook of Economic Forecasting, edition 1, volume 1, chapter 15, pages 777-878, Elsevier.
    4. Michiel De Pooter & Francesco Ravazzolo & Dick van Dijk, 2010. "Term structure forecasting using macro factors and forecast combination," International Finance Discussion Papers 993, Board of Governors of the Federal Reserve System (U.S.).
    5. James M. Nason & Gregor W. Smith, 2005. "Identifying the New Keynesian Phillips curve," FRB Atlanta Working Paper 2005-01, Federal Reserve Bank of Atlanta.
    6. Massimiliano Caporin & Michael McAleer, 2010. "Ranking Multivariate GARCH Models by Problem Dimension," CARF F-Series CARF-F-219, Center for Advanced Research in Finance, Faculty of Economics, The University of Tokyo.
    7. Bhardwaj, Geetesh & Swanson, Norman R., 2006. "An empirical investigation of the usefulness of ARFIMA models for predicting macroeconomic and financial time series," Journal of Econometrics, Elsevier, vol. 131(1-2), pages 539-578.
    8. Kevin Sheppard & Andrew J. Patton, 2008. "Evaluating Volatility and Correlation Forecasts," Economics Series Working Papers 2008fe22, University of Oxford, Department of Economics.
    9. Afanasyev, Dmitriy O. & Fedorova, Elena A., 2019. "On the impact of outlier filtering on the electricity price forecasting accuracy," Applied Energy, Elsevier, vol. 236(C), pages 196-210.
    10. Davide De Gaetano, 2016. "Forecast Combinations For Realized Volatility In Presence Of Structural Breaks," Departmental Working Papers of Economics - University 'Roma Tre' 0208, Department of Economics - University Roma Tre.
    11. Massimiliano Caporin & Michael McAleer, 2010. "Model Selection and Testing of Conditional and Stochastic Volatility Models," KIER Working Papers 724, Kyoto University, Institute of Economic Research.
    12. Joseph P & Romano & Azeem M. Shaikh & Michael Wolf, 2005. "Formalized Data Snooping Based on Generalized Error Rates," IEW - Working Papers 259, Institute for Empirical Research in Economics - University of Zurich.
    13. Hansen, Peter Reinhard & Lunde, Asger, 2006. "Consistent ranking of volatility models," Journal of Econometrics, Elsevier, vol. 131(1-2), pages 97-121.
    14. Jörg Döpke & Ulrich Fritsche, 2006. "Growth and inflation forecasts for Germany a panel-based assessment of accuracy and efficiency," Empirical Economics, Springer, vol. 31(3), pages 777-798, September.
    15. Peter Reinhard Hansen & Asger Lunde & James M. Nason, 2003. "Choosing the best volatility models: the model confidence set approach," FRB Atlanta Working Paper 2003-28, Federal Reserve Bank of Atlanta.
    16. Patton, Andrew J. & Sheppard, Kevin, 2009. "Optimal combinations of realised volatility estimators," International Journal of Forecasting, Elsevier, vol. 25(2), pages 218-238.
    17. Christian Dreger & Konstantin Arkadievich Kholodilin, 2013. "Forecasting Private Consumption by Consumer Surveys," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 32(1), pages 10-18, January.
    18. Bordignon, Silvano & Bunn, Derek W. & Lisi, Francesco & Nan, Fany, 2013. "Combining day-ahead forecasts for British electricity prices," Energy Economics, Elsevier, vol. 35(C), pages 88-103.

  21. Peter Reinhard Hansen & Asger Lunde & James M. Nason, 2005. "Testing the significance of calendar effects," FRB Atlanta Working Paper 2005-02, Federal Reserve Bank of Atlanta.

    Cited by:

    1. Guglielmo Maria Caporale & Alex Plastun, 2016. "Calendar Anomalies in the Ukrainian Stock Market," CESifo Working Paper Series 5877, CESifo.
    2. Chatzitzisi, Evanthia & Fountas, Stilianos & Panagiotidis, Theodore, 2021. "Another look at calendar anomalies," The Quarterly Review of Economics and Finance, Elsevier, vol. 80(C), pages 823-840.
    3. Dumitriu, Ramona & Stefanescu, Razvan & Nistor, Costel, 2012. "Holiday effects during quiet and turbulent times," MPRA Paper 41625, University Library of Munich, Germany, revised 07 Mar 2012.
    4. Yoon-Jae Whang & Young-Hyun Cho & Oliver Linton, 2006. "Are there Monday effects in Stock Returns: A Stochastic Dominance Approach," FMG Discussion Papers dp568, Financial Markets Group.
    5. Apergis, Nicholas & Gupta, Rangan, 2017. "Can (unusual) weather conditions in New York predict South African stock returns?," Research in International Business and Finance, Elsevier, vol. 41(C), pages 377-386.
    6. Dumitriu, Ramona & Stefanescu, Razvan & Nistor, Costel, 2012. "The Halloween effect during quiet and turbulent times," MPRA Paper 41539, University Library of Munich, Germany, revised 25 Sep 2012.
    7. Shynkevich, Andrei, 2012. "Performance of technical analysis in growth and small cap segments of the US equity market," Journal of Banking & Finance, Elsevier, vol. 36(1), pages 193-208.
    8. Li, Kun & Cursio, Joseph D. & Jiang, Mengfei & Liang, Xi, 2019. "The significance of calendar effects in the electricity market," Applied Energy, Elsevier, vol. 235(C), pages 487-494.
    9. Chowdhury, Anup & Uddin, Moshfique & Anderson, Keith, 2022. "Trading behaviour and market sentiment: Firm-level evidence from an emerging Islamic market," Global Finance Journal, Elsevier, vol. 53(C).
    10. Boubaker, Sabri & Essaddam, Naceur & Nguyen, Duc Khuong & Saadi, Samir, 2017. "On the robustness of week-day effect to error distributional assumption: International evidence," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 47(C), pages 114-130.
    11. Ayman Abdalmajeed Ahmad Al-Smadi & Mahmoud Khalid Almsafir & Nur Hanis Hazwani Binti Husni, 2018. "Trends And Calendar Effects In Malaysia’S Stock Market," Romanian Economic Business Review, Romanian-American University, vol. 13(2), pages 15-22, June.
    12. Alt, Raimund & Fortin, Ines & Weinberger, Simon, 2011. "The Monday effect revisited: An alternative testing approach," Journal of Empirical Finance, Elsevier, vol. 18(3), pages 447-460, June.
    13. Hudson, Robert S. & Gregoriou, Andros, 2015. "Calculating and comparing security returns is harder than you think: A comparison between logarithmic and simple returns," International Review of Financial Analysis, Elsevier, vol. 38(C), pages 151-162.
    14. Atanasova, Christina V. & Hudson, Robert S., 2010. "Technical trading rules and calendar anomalies -- Are they the same phenomena?," Economics Letters, Elsevier, vol. 106(2), pages 128-130, February.
    15. Tsiakas, Ilias, 2008. "Overnight information and stochastic volatility: A study of European and US stock exchanges," Journal of Banking & Finance, Elsevier, vol. 32(2), pages 251-268, February.
    16. John C. Frain, 2008. "Maximum Likelihood Estimates of Regression Coefficients with alpha-stable residuals and Day of Week effects in Total Returns on Equity Indices," Trinity Economics Papers tep0108, Trinity College Dublin, Department of Economics, revised May 2008.
    17. Dichtl, Hubert & Drobetz, Wolfgang, 2014. "Are stock markets really so inefficient? The case of the “Halloween Indicator”," Finance Research Letters, Elsevier, vol. 11(2), pages 112-121.

  22. James M. Nason & Byron G. Scott & Elizabeth C. Wakerly, 2004. "Common trends and common cycles in Canada: who knew so much has been going on?," FRB Atlanta Working Paper 2004-5, Federal Reserve Bank of Atlanta.

    Cited by:

    1. Jason Allen & Robert Amano & David P. Byrne & Allan W. Gregory, 2009. "Canadian city housing prices and urban market segmentation," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 42(3), pages 1132-1149, August.
    2. Basher, Syed A. & Balli, Faruk & Louis, Rosmy, 2009. "Channels of risk-sharing among Canadian provinces: 1961–2006," MPRA Paper 17300, University Library of Munich, Germany.
    3. Nelson, Charles R., 2008. "The Beveridge-Nelson decomposition in retrospect and prospect," Journal of Econometrics, Elsevier, vol. 146(2), pages 202-206, October.
    4. Rosés, Joan R. & Minns, Chris, 2018. "Power to the Periphery? The failure of Regional Convergence in Canada, 1890-2006," CEPR Discussion Papers 12803, C.E.P.R. Discussion Papers.
    5. Basher, Syed A. & Fachin, Stefano, 2008. "The long-term decline of internal migration in Canada – Ontario as a case study," MPRA Paper 6685, University Library of Munich, Germany.
    6. Maxym Chaban & Graham M. Voss, 2016. "Is Canada an optimal currency area? An inflation targeting perspective," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 49(2), pages 738-771, May.
    7. Dalibor Stevanovic & Stéphane Surprenant & Rachidi Kotchoni, 2019. "Identification des points de retournement du cycle économique au Canada," CIRANO Project Reports 2019rp-05, CIRANO.

  23. James M. Nason & Takashi Kano, 2004. "Business Cycle Implications of Habit Formation," Econometric Society 2004 Far Eastern Meetings 619, Econometric Society.

    Cited by:

    1. Michał Gradzewicz, 2009. "Endogenous growth mechanism as a source of medium term fluctuations in the labor market. Application to the US economy," NBP Working Papers 57, Narodowy Bank Polski.
    2. Takashi Kano, 2007. "Habit Formation and the Present-Value Model of the Current Account: Yet Another Suspect (Revised as CARF-F-124 (2008) )," CARF F-Series CARF-F-101, Center for Advanced Research in Finance, Faculty of Economics, The University of Tokyo.

  24. James M. Nason & George A. Slotsve, 2004. "Along the New Keynesian Phillips curve with nominal and real rigidities," FRB Atlanta Working Paper 2004-9, Federal Reserve Bank of Atlanta.

    Cited by:

    1. Krause, Michael U. & Lubik, Thomas A., 2007. "The (ir)relevance of real wage rigidity in the New Keynesian model with search frictions," Journal of Monetary Economics, Elsevier, vol. 54(3), pages 706-727, April.
    2. James M. Nason & Gregor W. Smith, 2005. "Identifying the New Keynesian Phillips curve," FRB Atlanta Working Paper 2005-01, Federal Reserve Bank of Atlanta.
    3. Kano, Takashi & 加納, 隆 & Nason, James M., 2012. "Business Cycle Implications of Internal Consumption Habit for New Keynesian Models," Discussion Papers 2012-09, Graduate School of Economics, Hitotsubashi University.
    4. Antonella Trigari, 2006. "The Role of Search Frictions and Bargaining for Inflation Dynamics," Working Papers 304, IGIER (Innocenzo Gasparini Institute for Economic Research), Bocconi University.
    5. Kuester, Keith, 2010. "Real price and wage rigidities with matching frictions," Journal of Monetary Economics, Elsevier, vol. 57(4), pages 466-477, May.
    6. Shigeru Fujita & Garey Ramey, 2012. "Exogenous vs. endogenous separation," Working Papers 12-2, Federal Reserve Bank of Philadelphia.
    7. Robert R. Reed & Stacey L. Schreft, 2007. "Phillips curves, monetary policy, and a labor market transmission mechanism," Research Working Paper RWP 07-12, Federal Reserve Bank of Kansas City.
    8. Helge Braun, 2006. "(Un)Employment Dynamics: The Case of Monetary Policy Shocks," 2006 Meeting Papers 87, Society for Economic Dynamics.
    9. Thomas B. King, 2005. "Labor productivity and job-market flows: trends, cycles, and correlations," Supervisory Policy Analysis Working Papers 2005-04, Federal Reserve Bank of St. Louis.
    10. James M. Nason & Gregor W. Smith, 2008. "The New Keynesian Phillips curve : lessons from single-equation econometric estimation," Economic Quarterly, Federal Reserve Bank of Richmond, vol. 94(Fall), pages 361-395.

  25. Peter Hansen & Asger Lunde & James M. Nason, 2003. "Choosing the Best Volatility Models:The Model Confidence Set Approach," Working Papers 2003-05, Brown University, Department of Economics.

    Cited by:

    1. Nielsen, Morten Ørregaard & Frederiksen, Per, 2008. "Finite sample accuracy and choice of sampling frequency in integrated volatility estimation," Journal of Empirical Finance, Elsevier, vol. 15(2), pages 265-286, March.
    2. Ralf Becker & Adam Clements, 2007. "Are combination forecasts of S&P 500 volatility statistically superior?," NCER Working Paper Series 17, National Centre for Econometric Research.
    3. Louzis Dimitrios P., 2016. "Steady-state priors and Bayesian variable selection in VAR forecasting," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 20(5), pages 495-527, December.
    4. Małgorzata Doman & Ryszard Doman, 2013. "Dynamic linkages between stock markets: the effects of crises and globalization," Portuguese Economic Journal, Springer;Instituto Superior de Economia e Gestao, vol. 12(2), pages 87-112, August.
    5. Andersen, Torben G. & Bollerslev, Tim & Christoffersen, Peter F. & Diebold, Francis X., 2006. "Volatility and Correlation Forecasting," Handbook of Economic Forecasting, in: G. Elliott & C. Granger & A. Timmermann (ed.), Handbook of Economic Forecasting, edition 1, volume 1, chapter 15, pages 777-878, Elsevier.
    6. Fabrizio Cipollini & Giampiero M. Gallo & Edoardo Otranto, 2019. "Realized Volatility Forecasting: Robustness to Measurement Errors," Econometrics Working Papers Archive 2019_04, Universita' degli Studi di Firenze, Dipartimento di Statistica, Informatica, Applicazioni "G. Parenti".
    7. Michiel De Pooter & Francesco Ravazzolo & Dick van Dijk, 2010. "Term structure forecasting using macro factors and forecast combination," International Finance Discussion Papers 993, Board of Governors of the Federal Reserve System (U.S.).
    8. Politis, Dimitris N & Thomakos, Dimitrios D, 2008. "NoVaS Transformations: Flexible Inference for Volatility Forecasting," University of California at San Diego, Economics Working Paper Series qt982208kx, Department of Economics, UC San Diego.
    9. Degiannakis, Stavros & Xekalaki, Evdokia, 2007. "Assessing the Performance of a Prediction Error Criterion Model Selection Algorithm in the Context of ARCH Models," MPRA Paper 96324, University Library of Munich, Germany.
    10. Bonato, Mateo & Caporin, Massimiliano & Ranaldo, Angelo, 2012. "Risk Spillovers in International Equity Portfolios," Working Papers on Finance 1214, University of St. Gallen, School of Finance.
    11. Fengler, Matthias R. & Okhrin, Ostap, 2016. "Managing risk with a realized copula parameter," Computational Statistics & Data Analysis, Elsevier, vol. 100(C), pages 131-152.
    12. Ahmed, Shamim & Bu, Ziwen & Symeonidis, Lazaros & Tsvetanov, Daniel, 2023. "Which factor model? A systematic return covariation perspective," Journal of International Money and Finance, Elsevier, vol. 136(C).
    13. Becker, R. & Clements, A.E. & Doolan, M.B. & Hurn, A.S., 2015. "Selecting volatility forecasting models for portfolio allocation purposes," International Journal of Forecasting, Elsevier, vol. 31(3), pages 849-861.
    14. D Aromi & A Clements, 2018. "Media attention and crude oil volatility: Is there any 'new' news in the newspaper?," NCER Working Paper Series 118, National Centre for Econometric Research.
    15. Herrera, R. & Clements, A.E., 2018. "Point process models for extreme returns: Harnessing implied volatility," Journal of Banking & Finance, Elsevier, vol. 88(C), pages 161-175.
    16. Wang, Yajing & Liang, Fang & Wang, Tianyi & Huang, Zhuo, 2020. "Does measurement error matter in volatility forecasting? Empirical evidence from the Chinese stock market," Economic Modelling, Elsevier, vol. 87(C), pages 148-157.
    17. G. C. Livingston & Darfiana Nur, 2023. "Bayesian inference of multivariate-GARCH-BEKK models," Statistical Papers, Springer, vol. 64(5), pages 1749-1774, October.
    18. Bauwens, Luc & Xu, Yongdeng, 2023. "The contribution of realized covariance models to the economic value of volatility timing," LIDAM Discussion Papers CORE 2023018, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    19. Borgsen, Sina & Glaser, Markus, 2005. "Diversifikationseffekte durch Small und Mid Caps?," Sonderforschungsbereich 504 Publications 05-10, Sonderforschungsbereich 504, Universität Mannheim;Sonderforschungsbereich 504, University of Mannheim.
    20. Davide De Gaetano, 2016. "Forecast Combinations For Realized Volatility In Presence Of Structural Breaks," Departmental Working Papers of Economics - University 'Roma Tre' 0208, Department of Economics - University Roma Tre.
    21. LAURENT, Sébastien & ROMBOUTS, Jeroen V. K. & VIOLANTE, Francesco, 2010. "On the forecasting accuracy of multivariate GARCH models," LIDAM Discussion Papers CORE 2010025, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    22. Ralf Becker & Adam Clements & Robert O'Neill, 2018. "A Multivariate Kernel Approach to Forecasting the Variance Covariance of Stock Market Returns," Econometrics, MDPI, vol. 6(1), pages 1-27, February.
    23. Malgorzata Doman & Ryszard Doman, 2013. "The Dynamics and Strength of Linkages between the Stock Markets in the Czech Republic, Hungary and Poland after their EU Accession," Dynamic Econometric Models, Uniwersytet Mikolaja Kopernika, vol. 13, pages 5-32.
    24. G.R. Pasha & Tahira Qasim & Muhammad Aslam, 2007. "Estimating and Forecasting Volatility of Financial Time Series in Pakistan with GARCH-type Models," Lahore Journal of Economics, Department of Economics, The Lahore School of Economics, vol. 12(2), pages 115-149, Jul-Dec.
    25. Gael M. Martin & Andrew Reidy & Jill Wright, 2009. "Does the option market produce superior forecasts of noise-corrected volatility measures?," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 24(1), pages 77-104.
    26. Corsi, Fulvio & Peluso, Stefano & Audrino, Francesco, 2012. "Missing in Asynchronicity: A Kalman-EM Approach for Multivariate Realized Covariance Estimation," Economics Working Paper Series 1202, University of St. Gallen, School of Economics and Political Science.
    27. Yu, Jize & Zhang, Li & Peng, Lijuan & Wu, Rui, 2023. "Which component of air quality index drives stock price volatility in China: a decomposition-based forecasting method," Finance Research Letters, Elsevier, vol. 51(C).
    28. J. Eduardo Vera-Vald'es, 2017. "On Long Memory Origins and Forecast Horizons," Papers 1712.08057, arXiv.org.
    29. Caporin, M. & McAleer, M.J., 2012. "Robust Ranking of Multivariate GARCH Models by Problem Dimension," Econometric Institute Research Papers EI2012-13, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    30. L. Bauwens & E. Otranto, 2020. "Modelling Realized Covariance Matrices: a Class of Hadamard Exponential Models," Working Paper CRENoS 202007, Centre for North South Economic Research, University of Cagliari and Sassari, Sardinia.
    31. R. Khalfaoui & M. Boutahar, 2012. "Portfolio Risk Evaluation: An Approach Based on Dynamic Conditional Correlations Models and Wavelet Multi-Resolution Analysis," Working Papers halshs-00793068, HAL.
    32. Francesco Audrino & Robert Fernholz & Roberto Ferretti, 2007. "A Forecasting Model for Stock Market Diversity," Annals of Finance, Springer, vol. 3(2), pages 213-240, March.
    33. Becker Ralf & Clements Adam E & Hurn Stan, 2011. "Semi-Parametric Forecasting of Realized Volatility," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 15(3), pages 1-23, May.
    34. Korkusuz, Burak & Kambouroudis, Dimos & McMillan, David G., 2023. "Do extreme range estimators improve realized volatility forecasts? Evidence from G7 Stock Markets," Finance Research Letters, Elsevier, vol. 55(PB).
    35. BAUWENS, Luc & otranto, EDOARDO, 2013. "Modeling the dependence of conditional correlations on volatility," LIDAM Discussion Papers CORE 2013014, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    36. Angelos T. Vouldis & Dimitrios P. Louzis, 2018. "Leading indicators of non-performing loans in Greece: the information content of macro-, micro- and bank-specific variables," Empirical Economics, Springer, vol. 54(3), pages 1187-1214, May.
    37. Audrino, Francesco & Trojani, Fabio, 2011. "A General Multivariate Threshold GARCH Model With Dynamic Conditional Correlations," Journal of Business & Economic Statistics, American Statistical Association, vol. 29(1), pages 138-149.
    38. Chen, Wei & Xu, Huilin & Jia, Lifen & Gao, Ying, 2021. "Machine learning model for Bitcoin exchange rate prediction using economic and technology determinants," International Journal of Forecasting, Elsevier, vol. 37(1), pages 28-43.
    39. Joseph P & Romano & Azeem M. Shaikh & Michael Wolf, 2005. "Formalized Data Snooping Based on Generalized Error Rates," IEW - Working Papers 259, Institute for Empirical Research in Economics - University of Zurich.
    40. Malgorzata Doman & Ryszard Doman, 2011. "The Impact of the Exchange Rate Dynamics on the Dependencies in Global Stock Market," Dynamic Econometric Models, Uniwersytet Mikolaja Kopernika, vol. 11, pages 73-86.
    41. Syed Ali Asad Rizvi & Stephen J. Roberts & Michael A. Osborne & Favour Nyikosa, 2017. "A Novel Approach to Forecasting Financial Volatility with Gaussian Process Envelopes," Papers 1705.00891, arXiv.org.
    42. Dimitris P. Louzis, 2014. "Macroeconomic and credit forecasts in a small economy during crisis: A large Bayesian VAR approach," Working Papers 184, Bank of Greece.
    43. A Clements & D Preve, 2019. "A Practical Guide to Harnessing the HAR Volatility Model," NCER Working Paper Series 120, National Centre for Econometric Research.
    44. Hansen, Peter Reinhard & Lunde, Asger, 2006. "Consistent ranking of volatility models," Journal of Econometrics, Elsevier, vol. 131(1-2), pages 97-121.
    45. Martens, Martin & van Dijk, Dick & de Pooter, Michiel, 2009. "Forecasting S&P 500 volatility: Long memory, level shifts, leverage effects, day-of-the-week seasonality, and macroeconomic announcements," International Journal of Forecasting, Elsevier, vol. 25(2), pages 282-303.
    46. Ali Taiebnia & Shapour Mohammadi, 2023. "Forecast accuracy of the linear and nonlinear autoregressive models in macroeconomic modeling," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 42(8), pages 2045-2062, December.
    47. Clements, Adam & Liao, Yin, 2017. "Forecasting the variance of stock index returns using jumps and cojumps," International Journal of Forecasting, Elsevier, vol. 33(3), pages 729-742.
    48. Audrino, Francesco & Hu, Yujia, 2011. "Volatility Forecasting: Downside Risk, Jumps and Leverage Effect," Economics Working Paper Series 1138, University of St. Gallen, School of Economics and Political Science.
    49. Tobias Eckernkemper, 2018. "Modeling Systemic Risk: Time-Varying Tail Dependence When Forecasting Marginal Expected Shortfall," Journal of Financial Econometrics, Oxford University Press, vol. 16(1), pages 63-117.
    50. Gian Piero Aielli & Massimiliano Caporin, 2015. "Dynamic Principal Components: a New Class of Multivariate GARCH Models," "Marco Fanno" Working Papers 0193, Dipartimento di Scienze Economiche "Marco Fanno".
    51. Rohini Grover & Susan Thomas, 2012. "Liquidity Considerations in Estimating Implied Volatility," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 32(8), pages 714-741, August.
    52. Liu, Min, 2022. "The driving forces of green bond market volatility and the response of the market to the COVID-19 pandemic," Economic Analysis and Policy, Elsevier, vol. 75(C), pages 288-309.
    53. Carol Alexander & Emese Lazar, 2009. "Modelling Regime‐Specific Stock Price Volatility," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 71(6), pages 761-797, December.
    54. Ralf Becker & Adam Clements & Christopher Coleman-Fenn, 2009. "Forecast performance of implied volatility and the impact of the volatility risk premium," NCER Working Paper Series 45, National Centre for Econometric Research.
    55. Grossi, Luigi & Nan, Fany, 2019. "Robust forecasting of electricity prices: Simulations, models and the impact of renewable sources," Technological Forecasting and Social Change, Elsevier, vol. 141(C), pages 305-318.
    56. Mauro Bernardi & Leopoldo Catania, 2015. "The Model Confidence Set package for R," CEIS Research Paper 362, Tor Vergata University, CEIS, revised 17 Nov 2015.
    57. Adam Clements & Mark Bernard Doolan, 2020. "Combining multivariate volatility forecasts using weighted losses," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 39(4), pages 628-641, July.
    58. Jack Fosten & Daniel Gutknecht, 2021. "Horizon confidence sets," Empirical Economics, Springer, vol. 61(2), pages 667-692, August.
    59. Adam E Clements & Ayesha Scott & Annastiina Silvennoinen, 2012. "Forecasting multivariate volatility in larger dimensions: some practical issues," NCER Working Paper Series 80, National Centre for Econometric Research.
    60. Massimiliano Caporin & Michael McAleer, 2011. "Ranking Multivariate GARCH Models by Problem Dimension: An Empirical Evaluation," Working Papers in Economics 11/23, University of Canterbury, Department of Economics and Finance.
    61. Mauro Bernardi & Leopoldo Catania, 2016. "Comparison of Value-at-Risk models using the MCS approach," Computational Statistics, Springer, vol. 31(2), pages 579-608, June.
    62. Francesco Audrino & Peter Bühlmann, 2009. "Splines for financial volatility," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 71(3), pages 655-670, June.
    63. Trino-Manuel Ñíguez & Javier Perote, 2012. "Forecasting Heavy-Tailed Densities with Positive Edgeworth and Gram-Charlier Expansions," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 74(4), pages 600-627, August.
    64. Grigoryeva, Lyudmila & Ortega, Juan-Pablo & Peresetsky, Anatoly, 2015. "Volatility forecasting using global stochastic financial trends extracted from non-synchronous data," MPRA Paper 64503, University Library of Munich, Germany.
    65. Becker, Christoph & Schmidt, Wolfgang M., 2015. "How past market movements affect correlation and volatility," Journal of International Money and Finance, Elsevier, vol. 50(C), pages 78-107.
    66. Benjamin Poignard & Manabu Asai, 2022. "High-Dimensional Sparse Multivariate Stochastic Volatility Models," Papers 2201.08584, arXiv.org, revised May 2022.
    67. Bauwens, Luc & Otranto, Edoardo, 2020. "Nonlinearities and regimes in conditional correlations with different dynamics," LIDAM Reprints CORE 3128, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    68. Ke Yang & Langnan Chen & Fengping Tian, 2015. "Realized Volatility Forecast of Stock Index Under Structural Breaks," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 34(1), pages 57-82, January.
    69. 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.
    70. Małgorzata Doman & Ryszard Doman, 2014. "Dynamic Linkages in the Pairs (GBP/EUR, USD/EUR) and (GBP/USD, EUR/USD): How Do They Change During a Day?," Central European Journal of Economic Modelling and Econometrics, Central European Journal of Economic Modelling and Econometrics, vol. 6(1), pages 33-56, March.
    71. Heni Boubaker & Bassem Saidane & Mouna Ben Saad Zorgati, 2022. "Modelling the dynamics of stock market in the gulf cooperation council countries: evidence on persistence to shocks," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 8(1), pages 1-22, December.
    72. Renò, Roberto, 2008. "Nonparametric Estimation Of The Diffusion Coefficient Of Stochastic Volatility Models," Econometric Theory, Cambridge University Press, vol. 24(5), pages 1174-1206, October.
    73. Adam Clements & Ayesha Scott & Annastiina Silvennoinen, 2013. "On the Benefits of Equicorrelation for Portfolio Allocation," NCER Working Paper Series 99, National Centre for Econometric Research.
    74. Audrino, Francesco, 2014. "Forecasting correlations during the late-2000s financial crisis: The short-run component, the long-run component, and structural breaks," Computational Statistics & Data Analysis, Elsevier, vol. 76(C), pages 43-60.
    75. Sauraj Verma, 2021. "Forecasting volatility of crude oil futures using a GARCH–RNN hybrid approach," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 28(2), pages 130-142, April.
    76. Emilija Dzuverovic & Matteo Barigozzi, 2023. "Hierarchical DCC-HEAVY Model for High-Dimensional Covariance Matrices," Papers 2305.08488, arXiv.org.
    77. Luigi Grossi & Fany Nan, 2017. "Forecasting electricity prices through robust nonlinear models," Working Papers 06/2017, University of Verona, Department of Economics.
    78. Mila Andreani & Vincenzo Candila & Giacomo Morelli & Lea Petrella, 2021. "Multivariate Analysis of Energy Commodities during the COVID-19 Pandemic: Evidence from a Mixed-Frequency Approach," Risks, MDPI, vol. 9(8), pages 1-20, August.
    79. Chiranjit Dutta & Kara Karpman & Sumanta Basu & Nalini Ravishanker, 2023. "Review of Statistical Approaches for Modeling High-Frequency Trading Data," Sankhya B: The Indian Journal of Statistics, Springer;Indian Statistical Institute, vol. 85(1), pages 1-48, May.
    80. Zhang, Li & Li, Yan & Yu, Sixin & Wang, Lu, 2023. "Risk transmission of El Niño-induced climate change to regional Green Economy Index," Economic Analysis and Policy, Elsevier, vol. 79(C), pages 860-872.
    81. Hansen, Peter R. & Lunde, Asger, 2006. "Realized Variance and Market Microstructure Noise," Journal of Business & Economic Statistics, American Statistical Association, vol. 24, pages 127-161, April.
    82. Min Liu & Chien‐Chiang Lee & Wei‐Chong Choo, 2021. "An empirical study on the role of trading volume and data frequency in volatility forecasting," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 40(5), pages 792-816, August.
    83. Bauwens, Luc & Otranto, Edoardo, 2023. "Realized Covariance Models with Time-varying Parameters and Spillover Effects," LIDAM Discussion Papers CORE 2023019, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    84. Maurício Yoshinori Une & Marcelo Savino Portugal, 2005. "Can fear beat hope? A story of GARCH-in-Mean-Level effects for Emerging Market Country Risks," Econometrics 0509006, University Library of Munich, Germany.
    85. Adriano Koshiyama & Nick Firoozye, 2019. "Avoiding Backtesting Overfitting by Covariance-Penalties: an empirical investigation of the ordinary and total least squares cases," Papers 1905.05023, arXiv.org.
    86. Luigi Grossi & Fany Nan, 2018. "The influence of renewables on electricity price forecasting: a robust approach," Working Papers 2018/10, Institut d'Economia de Barcelona (IEB).
    87. Adam E Clements & Mark Doolan & Stan Hurn & Ralf Becker, 2012. "Selecting forecasting models for portfolio allocation," NCER Working Paper Series 85, National Centre for Econometric Research.
    88. Wang, Lu & Wu, Jiangbin & Cao, Yang & Hong, Yanran, 2022. "Forecasting renewable energy stock volatility using short and long-term Markov switching GARCH-MIDAS models: Either, neither or both?," Energy Economics, Elsevier, vol. 111(C).
    89. Bartsch, Zachary, 2019. "Economic policy uncertainty and dollar-pound exchange rate return volatility," Journal of International Money and Finance, Elsevier, vol. 98(C), pages 1-1.
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    91. Bauwens, Luc & Grigoryeva, Lyudmila & Ortega, Juan-Pablo, 2016. "Estimation and empirical performance of non-scalar dynamic conditional correlation models," Computational Statistics & Data Analysis, Elsevier, vol. 100(C), pages 17-36.
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  26. James M. Nason & John H. Rogers, 2003. "The present-value model of the current account has been rejected: Round up the usual suspects," FRB Atlanta Working Paper 2003-7, Federal Reserve Bank of Atlanta.

    Cited by:

    1. Takashi Kano, 2007. "Habit Formation and the Present-Value Model of the Current Account: Yet Another Suspect," CIRJE F-Series CIRJE-F-505, CIRJE, Faculty of Economics, University of Tokyo.
    2. Asdrubali, Pierfederico & Kim, Soyoung, 2009. "Consumption smoothing channels in open economies," Journal of Banking & Finance, Elsevier, vol. 33(12), pages 2293-2300, December.
    3. Josep Lluís CARRION-I-SILVESTRE & Mariam CAMARERO & Josep LLUÍS CARRION-I-SILVESTRE & Cecilio TAMARIT, 2010. "External Imbalances in a Monetary Union. Does the Lawson Doctrine Apply to Europe?," EcoMod2010 259600036, EcoMod.
    4. Michel Normandin & Martin Boileau, 2003. "Dynamics of the Current Account and Interest Differentials," Cahiers de recherche 03-05, HEC Montréal, Institut d'économie appliquée.
    5. Akihisa Shibata & Mototsugu Shintani & Takayuki Tsuruga, 2018. "Current account dynamics under information rigidity and imperfect capital mobility," CAMA Working Papers 2018-56, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    6. Mariam Camarero & Josep Lluís Carrion-i-Silvestre & Cecilio Tamarit, 2013. "Global imbalances and the Intertemporal External Budget Constraint: A multicointegration approach," Working Papers 1303, Department of Applied Economics II, Universidad de Valencia.
    7. Schaefer Kurt C & Anderson Michael A & Ferrantino Michael J, 2008. "Monte Carlo Appraisals of Gravity Model Specifications," Global Economy Journal, De Gruyter, vol. 8(1), pages 1-26, February.
    8. Mr. Jacques A Miniane & Benoît Mercereau, 2004. "Challenging the Empirical Evidence From Present Value Models of the Current Account," IMF Working Papers 2004/106, International Monetary Fund.
    9. Horag Choi & Nelson C. Mark, 2009. "Trending Current Accounts," NBER Working Papers 15244, National Bureau of Economic Research, Inc.
    10. Gourinchas, Pierre-Olivier & Rey, Hélène, 2014. "External Adjustment, Global Imbalances, Valuation Effects," Handbook of International Economics, in: Gopinath, G. & Helpman, . & Rogoff, K. (ed.), Handbook of International Economics, edition 1, volume 4, chapter 0, pages 585-645, Elsevier.
    11. Charles Engel & John H. Rogers, 2008. "Expected consumption growth from cross-country surveys: implications for assessing international capital markets," International Finance Discussion Papers 949, Board of Governors of the Federal Reserve System (U.S.).
    12. Ca' Zorzi, Michele & Dieppe, Alistair & Chudik, Alexander, 2009. "Current account benchmarks for central and eastern Europe: a desperate search?," Working Paper Series 995, European Central Bank.
    13. Osman F. Abbasoğlu & Ayşe İmrohoroğlu & Ayşe Kabukçuoğlu, 2019. "The Turkish Current Account Deficit," Economic Inquiry, Western Economic Association International, vol. 57(1), pages 515-536, January.
    14. Kano, Takashi & 加納, 隆 & Nason, James M., 2012. "Business Cycle Implications of Internal Consumption Habit for New Keynesian Models," Discussion Papers 2012-09, Graduate School of Economics, Hitotsubashi University.
    15. Michele Ca' Zorzi & Alistair Dieppe & Alex Chudik, 2011. "Thousands of Models, One Story: Current Account Imbalances in the Global Economy," EcoMod2011 3184, EcoMod.
    16. Bouakez, Hafedh & Kano, Takashi, 2008. "Terms of trade and current account fluctuations: The Harberger-Laursen-Metzler effect revisited," Journal of Macroeconomics, Elsevier, vol. 30(1), pages 260-281, March.
    17. James M. Nason & Takashi Kano, 2004. "Business Cycle Implications of Habit Formation," Computing in Economics and Finance 2004 175, Society for Computational Economics.
    18. Tuvshintugs Batdelger & Magda Kandil, 2012. "Determinants of the current account balance in the United States," Applied Economics, Taylor & Francis Journals, vol. 44(5), pages 653-669, February.
    19. Michel Normandin & Martin Boileau, 2004. "The Current Account and the Interest Differential In Canada," Cahiers de recherche 04-09, HEC Montréal, Institut d'économie appliquée.
    20. Matthieu Bussiere & Aikaterini Karadimitropoulou & Miguel A. Leon-Ledesma, 2017. "Current account dynamics and the real exchange rate: disentangling the evidence," Working Papers 239, Bank of Greece.
    21. Bergin, Paul R., 2006. "How well can the New Open Economy Macroeconomics explain the exchange rate and current account?," Journal of International Money and Finance, Elsevier, vol. 25(5), pages 675-701, August.
    22. Huiran Pan, 2013. "Asset Revaluation And Trade Balance Under Liability Dollarization: The Case Of South Korea," Journal of Economic Development, Chung-Ang Unviersity, Department of Economics, vol. 38(3), pages 1-32, September.
    23. Luo, Yulei & Nie, Jun & Young, Eric R., 2012. "Robustness, information–processing constraints, and the current account in small open economies," Journal of International Economics, Elsevier, vol. 88(1), pages 104-120.
    24. Batu, Michael, 2017. "International worker remittances and economic growth in a Real Business Cycle framework," Structural Change and Economic Dynamics, Elsevier, vol. 40(C), pages 81-91.
    25. Dibooglu, Sel & Kapounek, Svatopluk, 2021. "The US current account, sustainability, and the international monetary system," Economic Systems, Elsevier, vol. 45(4).
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    27. Joseph W. Gruber, 2002. "Productivity shocks, habits, and the current account," International Finance Discussion Papers 733, Board of Governors of the Federal Reserve System (U.S.).
    28. Mathias Hoffmann, 2003. "International macroeconomic fluctuations and the current account," Canadian Journal of Economics, Canadian Economics Association, vol. 36(2), pages 401-420, May.
    29. Fratzscher, Marcel & Juvenal, Luciana & Sarno, Lucio, 2007. "Asset prices, exchange rates and the current account," Working Paper Series 790, European Central Bank.
    30. Aristovnik, Aleksander, 2006. "The Determinants & Excessiveness of Current Account Deficits in Eastern Europe & the Former Soviet Union," MPRA Paper 483, University Library of Munich, Germany.
    31. Ji Zhang & Jing Cynthia Wu, 2017. "A shadow rate New Keynesian model," 2017 Meeting Papers 11, Society for Economic Dynamics.
    32. Patrik RYFF, 2010. "Friedman Meets the Joneses: A Model of Essential Money with Consumption Externalities," EcoMod2010 259600146, EcoMod.
    33. Sebastian Edwards, 2006. "External Imbalances in an Advanced, Commodity-Exporting Country: The Case of New Zealand," NBER Working Papers 12620, National Bureau of Economic Research, Inc.
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    35. Sebastián Edwards, 2008. "On Current Account Surpluses and the Correction of Global Imbalances," Central Banking, Analysis, and Economic Policies Book Series, in: Kevin Cowan & Sebastián Edwards & Rodrigo O. Valdés & Norman Loayza (Series Editor) & Klaus Schmidt- (ed.),Current Account and External Financing, edition 1, volume 12, chapter 2, pages 025-083, Central Bank of Chile.
    36. Hoffmann, Mathias, 2004. "International capital mobility in the long run and the short run: can we still learn from saving-investment data?," Journal of International Money and Finance, Elsevier, vol. 23(1), pages 113-131, February.
    37. Towbin, P., 2012. "Financial Integration and External Sustainability," Working papers 388, Banque de France.
    38. M-A. Letendre, 2002. "Semi-Parametric Predictions of the Intertemporal Approach to the Current Account," Department of Economics Working Papers 2002-01, McMaster University.
    39. Herkenhoff, Philipp & Sauré, Philip, 2021. "How expected inflation distorts the current account and the valuation effect," European Economic Review, Elsevier, vol. 135(C).
    40. Sauré, Philip, 2017. "Time-intensive R&D and unbalanced trade," European Economic Review, Elsevier, vol. 91(C), pages 229-244.
    41. Özer Karagedikli & Troy Matheson & Christie Smith & Shaun P. Vahey, 2007. "RBCs and DSGEs:The Computational Approach to Business Cycle Theory and Evidence," Reserve Bank of New Zealand Discussion Paper Series DP2007/15, Reserve Bank of New Zealand.
    42. Durdu, C. Bora & Mendoza, Enrique G. & Terrones, Marco E., 2013. "On the solvency of nations: Cross-country evidence on the dynamics of external adjustment," Journal of International Money and Finance, Elsevier, vol. 32(C), pages 762-780.
    43. Hoffmann, Mathias & Krause, Michael & Laubach, Thomas, 2011. "Long-run growth expectations and 'global imbalances'," Discussion Paper Series 1: Economic Studies 2011,01, Deutsche Bundesbank.
    44. Braeu, Rebecca, 2010. "Consumption tilting and the current account: Evidence from Canada," International Review of Economics & Finance, Elsevier, vol. 19(2), pages 304-312, April.
    45. Sophocles N. Brissimis & George Hondroyiannis & Christos Papazoglou & Nicholas T. Tsaveas & Melina A. Vasardani, 2010. "Current account determinants and external sustainability in periods of structural change," Working Papers 117, Bank of Greece.
    46. Yoichi Matsubayashi, 2009. "Structural and Cyclical Movements of the Current Account in the U.S. 1976-2007," Discussion Papers 0829, Graduate School of Economics, Kobe University.
    47. Menzie D. Chinn & Barry Eichengreen & Hiro Ito, 2011. "A Forensic Analysis of Global Imbalances," NBER Working Papers 17513, National Bureau of Economic Research, Inc.
    48. Kano, Takashi, 2008. "A structural VAR approach to the intertemporal model of the current account," Journal of International Money and Finance, Elsevier, vol. 27(5), pages 757-779, September.
    49. Huseyin Murat Ozbilgin, 2009. "Financial Market Participation and the Developing Country Business Cycle," Working Papers 0904, Research and Monetary Policy Department, Central Bank of the Republic of Turkey.
    50. Christophe Andre & Mehmet Balcilar & Tsangyao Chang & Luis Alberiko Gil-Alana & Rangan Gupta, 2018. "Current account sustainability in G7 and BRICS: Evidence from a long-memory model with structural breaks," The Journal of International Trade & Economic Development, Taylor & Francis Journals, vol. 27(6), pages 638-654, August.
    51. Simeon Coleman & Juan Carlos Cuestas, 2023. "Has the current account broken up with its fundamentals in Central and Eastern Europe?," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 28(1), pages 962-980, January.
    52. Hamizun Ismail & Ahmad Baharumshah, 2008. "Malaysia’s current account deficits: an intertemporal optimization perspective," Empirical Economics, Springer, vol. 35(3), pages 569-590, November.
    53. Corsetti, Giancarlo & Konstantinou, Panagiotis, 2009. "What Drives US Foreign Borrowing? Evidence on External Adjustment to Transitory and Permanent Shocks," CEPR Discussion Papers 7134, C.E.P.R. Discussion Papers.
    54. Sebastián Edwards, 2007. "On Current Account Surpluses and the Correction of Global Imbalances," Working Papers Central Bank of Chile 440, Central Bank of Chile.
    55. Choi, Horag & Mark, Nelson C. & Sul, Donggyu, 2008. "Endogenous discounting, the world saving glut and the U.S. current account," Journal of International Economics, Elsevier, vol. 75(1), pages 30-53, May.
    56. Jerry Coakley & Ana-Maria Fuertes & Fabio Spagnolo, 2004. "The Feldstein-Horioka puzzle is not as bad as you think," Money Macro and Finance (MMF) Research Group Conference 2003 17, Money Macro and Finance Research Group.
    57. Erdal Özmen, 2004. "Current Account Deficits, Macroeconomic Policy Stance and Governance: An Empirical Investigation," ERC Working Papers 0414, ERC - Economic Research Center, Middle East Technical University, revised Oct 2004.
    58. Gourinchas, Pierre-Olivier & Rey, Hélène, 2014. "Chapter 10 External Adjustment, Global Imbalances, Valuation Effects," Department of Economics, Working Paper Series qt42k8h7mp, Department of Economics, Institute for Business and Economic Research, UC Berkeley.
    59. Menzie D. Chinn, 2012. "Imbalances, Overheating and the Prospects for Global Recovery," Chapters, in: Maurice Obstfeld & Dongchul Cho & Andrew Mason (ed.), Global Economic Crisis, chapter 6, Edward Elgar Publishing.
    60. Mauro Ferreira, 2007. "Debt Maturity in a Small Open Economy Under Inflation Target," EcoMod2007 23900024, EcoMod.
    61. Bajo-Rubio, Oscar & Esteve, Vicente, 2021. "The Current Account Of The Spanish Economy, 1850-2016: Was It Optimal?," Revista de Historia Económica / Journal of Iberian and Latin American Economic History, Cambridge University Press, vol. 39(2), pages 329-354, September.
    62. Aleksander Aristovnik & Stanka Setnikar-Cankar, 2006. "How Excessive are External Imbalances in Selected Transition Countries?," Prague Economic Papers, Prague University of Economics and Business, vol. 2006(3), pages 243-267.
    63. Gabriele Galati & Guy Debelle, 2005. "Current account adjustment and capital flows," BIS Working Papers 169, Bank for International Settlements.
    64. 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.
    65. Kano, Takashi & 加納, 隆, 2019. "Exchange Rates and Fundamentals: A General Equilibrium Exploration," Discussion paper series HIAS-E-19, Hitotsubashi Institute for Advanced Study, Hitotsubashi University.
    66. Takashi Kano, 2008. "Habit Formation and the Present-Value Model of the Current Account: Yet Another Suspect ( Revised version of CARF-F-101(2007); Revised version subsequently published in "Journal of International ," CARF F-Series CARF-F-124, Center for Advanced Research in Finance, Faculty of Economics, The University of Tokyo.
    67. Bora Durdu & Enrique G. Mendoza & Marco E. Terrones, 2009. "On the solvency of nations: are global imbalances consistent with intertemporal budget constraints?," International Finance Discussion Papers 975, Board of Governors of the Federal Reserve System (U.S.).
    68. Pierre-Olivier Gourinchas, 2008. "Valuation Effects and External Adjustment: A Review," Central Banking, Analysis, and Economic Policies Book Series, in: Kevin Cowan & Sebastián Edwards & Rodrigo O. Valdés & Norman Loayza (Series Editor) & Klaus Schmidt- (ed.),Current Account and External Financing, edition 1, volume 12, chapter 6, pages 195-236, Central Bank of Chile.
    69. Michel Normandin & Bruno Powo Fosso, 2006. "Global versus Country-Specific Shocks and International Business Cycles," Cahiers de recherche 0601, CIRPEE.
    70. Oyakhilome IBHAGUI, 2017. "Understanding the sources of high current account fluctuations in 5 developed economies," Turkish Economic Review, KSP Journals, vol. 4(3), pages 250-274, September.
    71. Mr. Tomasz Wieladek & Mr. Sergi Lanau, 2012. "Financial Regulation and the Current Account," IMF Working Papers 2012/098, International Monetary Fund.
    72. Bussière, Matthieu & Ca' Zorzi, Michele & Chudik, Alexander & Dieppe, Alistair, 2010. "Methodological advances in the assessment of equilibrium exchange rates," Working Paper Series 1151, European Central Bank.
    73. Takashi Kano, 2007. "Habit Formation and the Present-Value Model of the Current Account: Yet Another Suspect (Revised as CARF-F-124 (2008) )," CARF F-Series CARF-F-101, Center for Advanced Research in Finance, Faculty of Economics, The University of Tokyo.
    74. Pierre-Olivier Gourinchas & Hélène Rey, 2013. "External Adjustment, Global Imbalances and Valuation Effects," NBER Working Papers 19240, National Bureau of Economic Research, Inc.
    75. Anella Munro & Rishab Sethi, 2007. "Understanding the New Zealand current account: A structural approach," Reserve Bank of New Zealand Discussion Paper Series DP2007/10, Reserve Bank of New Zealand.
    76. Mercereau, Benoît & Miniane, Jacques Alain, 2008. "Should We Trust the Empirical Evidence from Present Value Models of the Current Account?," Economics Discussion Papers 2008-10, Kiel Institute for the World Economy (IfW Kiel).
    77. Chuku Chuku & Atan Johnson & Obioesio Felix & Onye Kenneth, 2017. "Working Paper 287 - Current Account Adjustments and Integration in West Africa," Working Paper Series 2407, African Development Bank.
    78. Ca' Zorzi, Michele & Rubaszek, Michał, 2008. "On the empirical evidence of the intertemporal current account model for the euro area countries," Working Paper Series 895, European Central Bank.
    79. Kano, Takashi & 加納, 隆, 2014. "Exchange Rates and Fundamentals: Closing a Two-country Model," Discussion Papers 2013-07, Graduate School of Economics, Hitotsubashi University.
    80. Michele Ca’ Zorzi & Alexander Chudik & Alistair Dieppe, 2012. "And then current accounts (over)adjusted," Empirical Economics, Springer, vol. 43(1), pages 245-270, August.
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    83. Krause, Michael & Hoffmann, Mathias & Laubach, Thomas, 2013. "The Expectations-Driven U.S. Current Account," VfS Annual Conference 2013 (Duesseldorf): Competition Policy and Regulation in a Global Economic Order 79854, Verein für Socialpolitik / German Economic Association.
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  27. James M. Nason & John H. Rogers, 1999. "Investment and the current account in the short run and the long run," International Finance Discussion Papers 647, Board of Governors of the Federal Reserve System (U.S.).

    Cited by:

    1. Takashi Kano, 2007. "Habit Formation and the Present-Value Model of the Current Account: Yet Another Suspect," CIRJE F-Series CIRJE-F-505, CIRJE, Faculty of Economics, University of Tokyo.
    2. Asdrubali, Pierfederico & Kim, Soyoung, 2009. "Consumption smoothing channels in open economies," Journal of Banking & Finance, Elsevier, vol. 33(12), pages 2293-2300, December.
    3. Nason, James M. & Rogers, John H., 2006. "The present-value model of the current account has been rejected: Round up the usual suspects," Journal of International Economics, Elsevier, vol. 68(1), pages 159-187, January.
    4. Michał Brzozowski & Sadananda Prusty, 2011. "Impact of GDP volatility on current account balances," Working Papers 2011-02, Faculty of Economic Sciences, University of Warsaw.
    5. Chinn, Menzie D. & Lee, Jaewoo, 2009. "Three current account balances: A "Semi-Structuralist" interpretation," Japan and the World Economy, Elsevier, vol. 21(2), pages 202-212, March.
    6. Matthieu Bussiere & Aikaterini Karadimitropoulou & Miguel A. Leon-Ledesma, 2017. "Current account dynamics and the real exchange rate: disentangling the evidence," Working Papers 239, Bank of Greece.
    7. International Monetary Fund, 2005. "Net Foreign Asset Positions and Consumption Dynamics in the International Economy," IMF Working Papers 2005/082, International Monetary Fund.
    8. Syed Abul Basher & Stefano Fachin, 2013. "The long-run relationship between savings and investment in oil-exporting developing countries: a case study of the Gulf Arab states," OPEC Energy Review, Organization of the Petroleum Exporting Countries, vol. 37(4), pages 429-446, December.
    9. Mirela MATEI & Jean ANDREI, 2011. "Considerations Regarding the Social Responsible Investments on Capital Market," REVISTA DE MANAGEMENT COMPARAT INTERNATIONAL/REVIEW OF INTERNATIONAL COMPARATIVE MANAGEMENT, Faculty of Management, Academy of Economic Studies, Bucharest, Romania, vol. 12(6), pages 429-434, December.
    10. Makin, Anthony J. & Narayan, Paresh Kumar & Narayan, Seema, 2014. "What expenditure does Anglosphere foreign borrowing fund?," Journal of International Money and Finance, Elsevier, vol. 40(C), pages 63-78.
    11. Mr. Paul Cashin & Samya Beidas-Strom, 2011. "Are Middle Eastern Current Account Imbalances Excessive?," IMF Working Papers 2011/195, International Monetary Fund.
    12. Narayan, Seema, 2014. "Integration of current account imbalances in the OECD," Economic Modelling, Elsevier, vol. 38(C), pages 288-295.
    13. Richard Clarida & Joe Prendergast, 1999. "Recent G3 Current Account Imbalances: How Important are Structural Factors?," NBER Working Papers 6935, National Bureau of Economic Research, Inc.
    14. Mathias Hoffmann, 2003. "International macroeconomic fluctuations and the current account," Canadian Journal of Economics, Canadian Economics Association, vol. 36(2), pages 401-420, May.
    15. Hoffmann, Mathias, 2013. "What drives China's current account?," Journal of International Money and Finance, Elsevier, vol. 32(C), pages 856-883.
    16. Herrmann, Sabine & Jochem, Axel, 2005. "Determinants of current account developments in the central and east European EU member states - consequences for the enlargement of the euro area," Discussion Paper Series 1: Economic Studies 2005,32, Deutsche Bundesbank.
    17. M-A. Letendre, 2002. "Semi-Parametric Predictions of the Intertemporal Approach to the Current Account," Department of Economics Working Papers 2002-01, McMaster University.
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    26. Takashi Kano, 2007. "Habit Formation and the Present-Value Model of the Current Account: Yet Another Suspect (Revised as CARF-F-124 (2008) )," CARF F-Series CARF-F-101, Center for Advanced Research in Finance, Faculty of Economics, The University of Tokyo.
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    31. Ali, Amjad & Audi, Marc, 2023. "Analyzing the Impact of Foreign Capital Inflows on the Current Account Balance in Developing Economies: A Panel Data Approach," MPRA Paper 118173, University Library of Munich, Germany.
    32. Ghassan, Hassan B. & Al-Jefri, Essam H., 2016. "الحساب الجاري للاقتصاد السعودي عبر نموذج داخلي الزمن دلائل من منهجية نموذج التقهقر الذاتي البنيوي [The Current Account of Saudi Economy through Intertemporal Model: Evidence from SVAR]," MPRA Paper 80302, University Library of Munich, Germany, revised Jun 2017.
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    34. Sheng Zhang & Guoxiang Han & Ran Yu & Zuhui Wen & Meng Xu & Yifu Yang, 2021. "The Sustainable Development Path of the Gold Exploration and Mining of the Sanshan Island-Jiaojia Belt in Laizhou Bay: A DID-SVAR Approach," Sustainability, MDPI, vol. 13(21), pages 1-12, October.
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    2. Kano, Takashi & 加納, 隆 & Nason, James M., 2012. "Business Cycle Implications of Internal Consumption Habit for New Keynesian Models," Discussion Papers 2012-09, Graduate School of Economics, Hitotsubashi University.
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Articles

  1. James M. Nason & Gregor W. Smith, 2021. "Measuring the slowly evolving trend in US inflation with professional forecasts," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 36(1), pages 1-17, January.
    See citations under working paper version above.
  2. Elmar Mertens & James M. Nason, 2020. "Inflation and professional forecast dynamics: An evaluation of stickiness, persistence, and volatility," Quantitative Economics, Econometric Society, vol. 11(4), pages 1485-1520, November.
    See citations under working paper version above.
  3. Nason, James M. & Tallman, Ellis W., 2015. "Business Cycles And Financial Crises: The Roles Of Credit Supply And Demand Shocks," Macroeconomic Dynamics, Cambridge University Press, vol. 19(4), pages 836-882, June.
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  4. Takashi Kano & James M. Nason, 2014. "Business Cycle Implications of Internal Consumption Habit for New Keynesian Models," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 46(2-3), pages 519-544, March.
    See citations under working paper version above.
  5. James M. Nason & Shaun P. Vahey, 2012. "UK World War I and interwar data for business cycle and growth analysis," Cliometrica, Journal of Historical Economics and Econometric History, Association Française de Cliométrie (AFC), vol. 6(2), pages 115-142, May.
    See citations under working paper version above.
  6. Hall, Alastair R. & Inoue, Atsushi & Nason, James M. & Rossi, Barbara, 2012. "Information criteria for impulse response function matching estimation of DSGE models," Journal of Econometrics, Elsevier, vol. 170(2), pages 499-518.
    See citations under working paper version above.
  7. Peter R. Hansen & Asger Lunde & James M. Nason, 2011. "The Model Confidence Set," Econometrica, Econometric Society, vol. 79(2), pages 453-497, March.
    See citations under working paper version above.
  8. James M. Nason & Gregor W. Smith, 2008. "Identifying the new Keynesian Phillips curve," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 23(5), pages 525-551.
    See citations under working paper version above.
  9. James M. Nason & Gregor W. Smith, 2008. "The New Keynesian Phillips curve : lessons from single-equation econometric estimation," Economic Quarterly, Federal Reserve Bank of Richmond, vol. 94(Fall), pages 361-395.

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    1. Leyla BAŞTAV, 2019. "ABD İşgücü Piyasasında Histeresi Etkisi Üzerine Ampirik Bir Çalışma: Yeni Keynesyen Ücret Phillips Eğrisi (1990-2014)," Sosyoekonomi Journal, Sosyoekonomi Society.
    2. Temitope Leshoro & Umakrishnan Kollamparambil, 2016. "Inflation Or Output Targeting? Monetary Policy Appropriateness In South Africa," PSL Quarterly Review, Economia civile, vol. 69(276), pages 77-104.
    3. Markku Lanne & Jani Luoto, 2014. "Does Output Gap, Labour's Share or Unemployment Rate Drive Inflation?," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 76(5), pages 715-726, October.
    4. Backus, David & Zin, Stanley E. & Chernov, Mikhail & Zviadadze, Irina, 2013. "Monetary policy risk: Rules vs. discretion," CEPR Discussion Papers 9611, C.E.P.R. Discussion Papers.
    5. Vít Pošta, 2015. "Semi-structural estimates of time-varying NAIRU based on the new Keynesian Phillips curve: evidence from Eastern European economies," Empirical Economics, Springer, vol. 49(4), pages 1217-1243, December.
    6. Ricardo Nunes, 2010. "Inflation Dynamics: The Role of Expectations," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 42(6), pages 1161-1172, September.
    7. Jean-Baptiste, Frédo, 2012. "Forecasting with the New Keynesian Phillips curve: Evidence from survey data," Economics Letters, Elsevier, vol. 117(3), pages 811-813.
    8. Karol Szafranek, 2016. "Linking excessive disinflation and output movements in an emerging, small open economy A hybrid New Keynesian Phillips Curve perspective," NBP Working Papers 239, Narodowy Bank Polski.
    9. Alexis Maka & Fernando De Holanda Barbosa, 2014. "Phillips Curves: An Encompassing Test," Anais do XLI Encontro Nacional de Economia [Proceedings of the 41st Brazilian Economics Meeting] 061, ANPEC - Associação Nacional dos Centros de Pós-Graduação em Economia [Brazilian Association of Graduate Programs in Economics].
    10. Claudio Borio & Piti Disyatat & Mikael Juselius, 2014. "A parsimonious approach to incorporating economic information in measures of potential output," BIS Working Papers 442, Bank for International Settlements.
    11. Behera, Harendra Kumar & Patra, Michael Debabrata, 2022. "Measuring trend inflation in India," Journal of Asian Economics, Elsevier, vol. 80(C).
    12. Lubik, Thomas A. & Teo, Wing Leong, 2012. "Inventories, inflation dynamics and the New Keynesian Phillips curve," European Economic Review, Elsevier, vol. 56(3), pages 327-346.
    13. Sophocles Mavroeidis & Mikkel Plagborg-Møller & James H. Stock, 2014. "Empirical Evidence on Inflation Expectations in the New Keynesian Phillips Curve," Journal of Economic Literature, American Economic Association, vol. 52(1), pages 124-188, March.
    14. Bec, Frédérique & Kanda, Patrick, 2020. "Is inflation driven by survey-based, VAR-based or myopic expectations? An empirical assessment from US real-time data," The North American Journal of Economics and Finance, Elsevier, vol. 51(C).
    15. Ahrens, Steffen & Hartmann, Matthias, 2014. "State-dependence vs. timedependence: An empirical multi-country investigation of price sluggishness," Kiel Working Papers 1907, Kiel Institute for the World Economy (IfW Kiel).
    16. Nalan Baştürk & Cem Çakmakli & S. Pinar Ceyhan & Herman K. Van Dijk, 2014. "Posterior‐Predictive Evidence On Us Inflation Using Extended New Keynesian Phillips Curve Models With Non‐Filtered Data," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 29(7), pages 1164-1182, November.
    17. Kaihatsu, Sohei & Nakajima, Jouchi, 2018. "Has trend inflation shifted?: An empirical analysis with an equally-spaced regime-switching model," Economic Analysis and Policy, Elsevier, vol. 59(C), pages 69-83.
    18. Thomas A. Lubik & Wing Leong Teo, 2011. "Deep habits in the New Keynesian Phillips curve," Working Paper 11-08, Federal Reserve Bank of Richmond.
    19. Seth Pruitt, 2012. "Uncertainty Over Models and Data: The Rise and Fall of American Inflation," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 44, pages 341-365, March.
    20. Havva Koç, 2023. "The Hybrid New Keynesian Phillips Curve: An Application For Türkiye," EKOIST Journal of Econometrics and Statistics, Istanbul University, Faculty of Economics, vol. 0(39), pages 129-146, December.
    21. Michael F. Bryan & Brent Meyer & Nicholas B. Parker, 2014. "The inflation expectations of firms: what do they look like, are they accurate, and do they matter?," FRB Atlanta Working Paper 2014-27, Federal Reserve Bank of Atlanta.
    22. Smith, Gregor W., 2009. "Pooling forecasts in linear rational expectations models," Journal of Economic Dynamics and Control, Elsevier, vol. 33(11), pages 1858-1866, November.
    23. Ahrens, Steffen & Sacht, Stephen, 2011. "Estimating a high-frequency New-Keynesian Phillips curve," Kiel Working Papers 1686, Kiel Institute for the World Economy (IfW Kiel).
    24. Michael Bleaney & Manuela Francisco, 2018. "Is The Phillips Curve Different In Poor Countries?," Bulletin of Economic Research, Wiley Blackwell, vol. 70(1), pages 17-28, January.
    25. Somayeh Mardaneh, 2012. "How Do Oil Shocks A¤ect the Structural Stability of Hybrid New Keynesian Phillips Curve?," Discussion Papers in Economics 12/20, Division of Economics, School of Business, University of Leicester.
    26. Dandan Liu, 2011. "Learning and Estimation of the New Keynesian Phillips Curve Models," Southern Economic Journal, John Wiley & Sons, vol. 78(2), pages 382-396, October.
    27. Rareș-Petru MIHALACHE & Dumitru Alexandru BODISLAV, 2019. "The new Keynesian Phillips Curve. Implications. Strengths and weaknesses," Theoretical and Applied Economics, Asociatia Generala a Economistilor din Romania - AGER, vol. 0(4(621), W), pages 85-92, Winter.
    28. Lanne, Markku & Luoto, Jani, 2011. "Autoregression-Based Estimation of the New Keynesian Phillips Curve," MPRA Paper 29801, University Library of Munich, Germany.
    29. Jagadish Prasad Sahu, 2013. "Inflation dynamics in India: A hybrid New Keynesian Phillips Curve approach," Economics Bulletin, AccessEcon, vol. 33(4), pages 2634-2647.
    30. 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.
    31. Kenneth I. Carlaw & Richard G. Lipsey, 2013. "Does History Matter? Empirical Analysis of Evolutionary Versus Stationary Equilibrium Views of the Economy," Economic Complexity and Evolution, in: Andreas Pyka & Esben Sloth Andersen (ed.), Long Term Economic Development, edition 127, pages 137-174, Springer.
    32. Kukacka, Jiri & Sacht, Stephen, 2021. "Estimation of Heuristic Switching in Behavioral Macroeconomic Models," Economics Working Papers 2021-01, Christian-Albrechts-University of Kiel, Department of Economics.
    33. NAKAJIMA, Jouchi, 2023. "Estimating trend inflation in a regime-switching Phillips curve," Discussion Paper Series 750, Institute of Economic Research, Hitotsubashi University.
    34. Tomasz Grabia, 2014. "Kontrowersje wokół koncepcji krzywej Phillipsa," Gospodarka Narodowa. The Polish Journal of Economics, Warsaw School of Economics, issue 5, pages 5-28.
    35. José Francisco Bellod Redondo, 2013. "La NAIRU y la pseudociencia neoliberal," Revista de Economía Crítica, Asociación de Economía Crítica, vol. 16, pages 18-43.
    36. David Backus & Mikhail Chernov & Stanley E. Zin, 2013. "Identifying Taylor Rules in Macro-Finance Models," NBER Working Papers 19360, National Bureau of Economic Research, Inc.
    37. Choi, Yoonseok, 2021. "Inflation dynamics, the role of inflation at different horizons and inflation uncertainty," International Review of Economics & Finance, Elsevier, vol. 71(C), pages 649-662.
    38. Portier, Franck & Beaudry, Paul & Hou, Chenyu, 2020. "Monetary Policy when the Phillips Curve is Locally Quite Flat," CEPR Discussion Papers 15184, C.E.P.R. Discussion Papers.
    39. Sohei Kaihatsu & Jouchi Nakajima, 2015. "Has Trend Inflation Shifted?: An Empirical Analysis with a Regime-Switching Model," Bank of Japan Working Paper Series 15-E-3, Bank of Japan.
    40. Andres Sanchez-Jabba & Erick Villabon-Hinestroz & Bernardo Romero-Torres, 2023. "Inflation Expectations Measurement and its Effect on Inflation Dynamics in Colombia," Borradores de Economia 1257, Banco de la Republica de Colombia.
    41. Jeremy Kronick & Farah Omran, 2019. "Inflation after the Crisis: What’s the Story?," e-briefs 293, C.D. Howe Institute.
    42. Robert L. Hetzel, 2013. "The Monetarist-Keynesian Debate and the Phillips Curve: Lessons from the Great Inflation," Economic Quarterly, Federal Reserve Bank of Richmond, issue 2Q, pages 83-116.
    43. Abbas, Syed Kanwar & Sgro, Pasquale M., 2011. "New Keynesian Phillips Curve and inflation dynamics in Australia," Economic Modelling, Elsevier, vol. 28(4), pages 2022-2033, July.

  10. Nason James M. & Smith Gregor W, 2008. "Great Moderation(s) and US Interest Rates: Unconditional Evidence," The B.E. Journal of Macroeconomics, De Gruyter, vol. 8(1), pages 1-33, November.
    See citations under working paper version above.
  11. Shaun P. Vahey & James M. Nason, 2007. "The McKenna Rule and UK World War I Finance," American Economic Review, American Economic Association, vol. 97(2), pages 290-294, May.
    See citations under working paper version above.
  12. Brock, William A. & Durlauf, Steven N. & Nason, James M. & Rondina, Giacomo, 2007. "Simple versus optimal rules as guides to policy," Journal of Monetary Economics, Elsevier, vol. 54(5), pages 1372-1396, July.
    See citations under working paper version above.
  13. James M. Nason, 2006. "Instability in U.S. inflation: 1967-2005," Economic Review, Federal Reserve Bank of Atlanta, vol. 91(Q 2), pages 39-59.

    Cited by:

    1. Gbaguidi DAVID, 2011. "Expectations Impact On The Effectiveness Of The Inflation-Real Activity Trade-Off," Theoretical and Practical Research in the Economic Fields, ASERS Publishing, vol. 2(2), pages 141-181.
    2. Mark Bils & Peter J. Klenow & Benjamin A. Malin, 2012. "Reset Price Inflation and the Impact of Monetary Policy Shocks," American Economic Review, American Economic Association, vol. 102(6), pages 2798-2825, October.
    3. Altansukh, Gantungalag & Becker, Ralf & Bratsiotis, George J. & Osborn, Denise R., 2017. "What is the Globalisation of Inflation?," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 74, pages 1-27.
    4. C.S. Bos & S.J. Koopman & M. Ooms, 2007. "Long Memory Modelling of Inflation with Stochastic Variance and Structural Breaks," Tinbergen Institute Discussion Papers 07-099/4, Tinbergen Institute.
    5. James M. Nason & Gregor W. Smith, 2013. "Reverse Kalman filtering U.S. inflation with sticky professional forecasts," Working Papers 13-34, Federal Reserve Bank of Philadelphia.
    6. Gbaguidi, David Sedo, 2011. "Regime Switching in a New Keynesian Phillips Curve with Non-zero Steady-state Inflation Rate," MPRA Paper 35481, University Library of Munich, Germany.

  14. Nason, James M. & Rogers, John H., 2006. "The present-value model of the current account has been rejected: Round up the usual suspects," Journal of International Economics, Elsevier, vol. 68(1), pages 159-187, January.
    See citations under working paper version above.
  15. Elizabeth Wakerly & Byron Scott & James Nason, 2006. "Common trends and common cycles in Canada: who knew so much has been going on?," Canadian Journal of Economics, Canadian Economics Association, vol. 39(1), pages 320-347, February.
    See citations under working paper version above.
  16. Patrick J. Coe & James M. Nason, 2004. "Long-run monetary neutrality and long-horizon regressions," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 19(3), pages 355-373.

    Cited by:

    1. Lastrapes, William D. & Potts, Todd B., 2006. "Durable goods and the forward-looking theory of consumption: Estimates implied by the dynamic effects of money," Journal of Economic Dynamics and Control, Elsevier, vol. 30(8), pages 1409-1430, August.
    2. Shyh-Wei Chen, 2007. "Evidence of the Long-Run Neutrality of Money: The Case of South Korea and Taiwan," Economics Bulletin, AccessEcon, vol. 3(64), pages 1-18.
    3. Shelley, Gary & Wallace, Frederick, 2006. "Long run effects of money on real consumption and investment in the U.S," MPRA Paper 4136, University Library of Munich, Germany.
    4. Frederick H. Wallace & Gary L. Shelley, 2005. "An Alternative Test of Purchasing Power Parity," International Finance 0502009, University Library of Munich, Germany.
    5. Noriega Antonio E. & Ventosa-Santaulària Daniel, 2010. "Spurious Long-Horizon Regression in Econometrics," Working Papers 2010-06, Banco de México.
    6. Joakim Westerlund & Mauro Costantini, 2009. "Panel cointegration and the neutrality of money," Empirical Economics, Springer, vol. 36(1), pages 1-26, February.
    7. Jonathan B. Hill, 2004. "Efficient Tests of Long-Run Causation in Trivariate VAR Processes with a Rolling Window Study of the Money-Income Relationship," Macroeconomics 0407013, University Library of Munich, Germany, revised 15 Feb 2006.
    8. Shiu‐Sheng Chen & Yu‐Hsi Chou, 2010. "Exchange Rates and Fundamentals: Evidence from Long‐Horizon Regression Tests," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 72(1), pages 63-88, February.
    9. Becker, Sascha O. & Hoffmann, Mathias, 2006. "Intra- and international risk-sharing in the short run and the long run," European Economic Review, Elsevier, vol. 50(3), pages 777-806, April.
    10. Serletis, Apostolos & Gogas, Periklis, 2004. "Long-horizon regression tests of the theory of purchasing power parity," Journal of Banking & Finance, Elsevier, vol. 28(8), pages 1961-1985, August.
    11. Frederick H. Wallace & Gary L. Shelley, 2004. "Long Run Neutrality and Superneutrality of Money: Aggregate and Sectoral Tests for Nicaragua," Macroeconomics 0402004, University Library of Munich, Germany.
    12. D. Ventosa-Santaulària, 2009. "Spurious Regression," Journal of Probability and Statistics, Hindawi, vol. 2009, pages 1-27, August.
    13. Ventosa-Santaulària, Daniel & Noriega, Antonio E., 2015. "Long-run monetary neutrality under stochastic and deterministic trends," Economic Modelling, Elsevier, vol. 47(C), pages 372-382.

  17. Coe, Patrick J. & Nason, James M., 2003. "The long-horizon regression approach to monetary neutrality: how should the evidence be interpreted?," Economics Letters, Elsevier, vol. 78(3), pages 351-356, March.

    Cited by:

    1. Shyh-Wei Chen, 2007. "Evidence of the Long-Run Neutrality of Money: The Case of South Korea and Taiwan," Economics Bulletin, AccessEcon, vol. 3(64), pages 1-18.
    2. Bae, Sang-Kun & Jensen, Mark J. & Murdock, Scott G., 2005. "Long-run neutrality in a fractionally integrated model," Journal of Macroeconomics, Elsevier, vol. 27(2), pages 257-274, June.
    3. Shelley, Gary & Wallace, Frederick, 2006. "Long run effects of money on real consumption and investment in the U.S," MPRA Paper 4136, University Library of Munich, Germany.
    4. Frederick H.Wallace & Gary L. Shelley, 2007. "Long Run Neutrality of Money in Mexico," Economía Mexicana NUEVA ÉPOCA, CIDE, División de Economía, vol. 0(2), pages 219-238, July-Dece.
    5. Frederick H. Wallace & Gary L. Shelley, 2005. "An Alternative Test of Purchasing Power Parity," International Finance 0502009, University Library of Munich, Germany.
    6. Noriega Antonio E. & Ventosa-Santaulària Daniel, 2010. "Spurious Long-Horizon Regression in Econometrics," Working Papers 2010-06, Banco de México.
    7. Patrick J. Coe & James M. Nason, 2004. "Long-run monetary neutrality and long-horizon regressions," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 19(3), pages 355-373.
    8. Noriega, Antonio E., 2004. "Long-run monetary neutrality and the unit-root hypothesis: further international evidence," The North American Journal of Economics and Finance, Elsevier, vol. 15(2), pages 179-197, August.
    9. Shiu‐Sheng Chen & Yu‐Hsi Chou, 2010. "Exchange Rates and Fundamentals: Evidence from Long‐Horizon Regression Tests," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 72(1), pages 63-88, February.
    10. Gary Shelley & Frederick Wallace, 2005. "The relation between U.S. money growth and inflation: evidence from a band-pass filter," Economics Bulletin, AccessEcon, vol. 5(8), pages 1-13.
    11. Serletis, Apostolos & Gogas, Periklis, 2004. "Long-horizon regression tests of the theory of purchasing power parity," Journal of Banking & Finance, Elsevier, vol. 28(8), pages 1961-1985, August.
    12. Cai, Yifei, 2016. "货币供给数量、结构与经济增长—来自adl门限协整检验与时变格兰杰因果关系检验的证据 [Quantity and Structure of Money Supply and Economic Growth— Evidence from ADL Test for Threshold Cointegration and Time-varying Granger Causality Relation," MPRA Paper 73750, University Library of Munich, Germany.
    13. Wallace, Fred & Cabrera-Castellanos, Luis F., 2006. "Neutralidad monetaria a Largo plazo: El caso de Guatemala [Long Run Money Neutrality in Guatemala]," MPRA Paper 4025, University Library of Munich, Germany, revised 2006.
    14. Ventosa-Santaulària, Daniel & Noriega, Antonio E., 2015. "Long-run monetary neutrality under stochastic and deterministic trends," Economic Modelling, Elsevier, vol. 47(C), pages 372-382.

  18. Peter Reinhard Hansen & Asger Lunde & James M. Nason, 2003. "Choosing the Best Volatility Models: The Model Confidence Set Approach," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 65(s1), pages 839-861, December.
    See citations under working paper version above.
  19. Nason, James M & Rogers, John H, 2002. "Investment and the Current Account in the Short Run and the Long Run," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 34(4), pages 967-986, November.
    See citations under working paper version above.
  20. Gregory, Allan W. & Nason, James M. & Watt, David G., 1996. "Testing for structural breaks in cointegrated relationships," Journal of Econometrics, Elsevier, vol. 71(1-2), pages 321-341.

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    6. Manuel Ennes Ferreira & Jelson Serafim & João Dias, 2022. "Finance-Growth Nexus: Evidence from Angola," Working Papers REM 2022/0227, ISEG - Lisbon School of Economics and Management, REM, Universidade de Lisboa.
    7. Paul Cashin & Catherine Pattillo, 2006. "African terms of trade and the commodity terms of trade: close cousins or distant relatives?," Applied Economics, Taylor & Francis Journals, vol. 38(8), pages 845-859.
    8. Manabu Asai & Shelton Peiris & Michael McAleer & David E. Allen, 2018. "Cointegrated Dynamics for A Generalized Long Memory Process: An Application to Interest Rates," Documentos de Trabajo del ICAE 2018-22, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
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    12. Alfredo M. Pereira & Maria de Fátima Pinho, 2006. "Public Investment and Budgetary Consolidation in Portugal," Working Papers 41, Department of Economics, College of William and Mary.
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    1. Atsushi Inoue & Mototsugu Shintani, 2018. "Quasi‐Bayesian model selection," Quantitative Economics, Econometric Society, vol. 9(3), pages 1265-1297, November.
    2. James M. Nason & George A. Slotsve, 2004. "Along the New Keynesian Phillips curve with nominal and real rigidities," FRB Atlanta Working Paper 2004-9, Federal Reserve Bank of Atlanta.
    3. Paccagnini, Alessia, 2017. "Dealing with Misspecification in DSGE Models: A Survey," MPRA Paper 82914, University Library of Munich, Germany.
    4. S. Boragan Aruoba & Luigi Bocola & Frank Schorfheide, 2013. "Assessing DSGE model nonlinearities," Working Papers 13-47, Federal Reserve Bank of Philadelphia.
    5. Danthine, Jean-Pierre & Kurmann, André, 2010. "The business cycle implications of reciprocity in labor relations," Journal of Monetary Economics, Elsevier, vol. 57(7), pages 837-850, October.
    6. Alfonso Novales, 2002. "The Role of Simulation Methods in Macroeconomics," Documentos de Trabajo del ICAE 0227, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
    7. Díaz-Giménez, Javier & Kirkby, Robert, 2016. "Inflation and the growth rate of money in the long run and the short run," Working Paper Series 19418, Victoria University of Wellington, School of Economics and Finance.
    8. Alessia Paccagnini, 2012. "Comparing Hybrid DSGE Models," Working Papers 228, University of Milano-Bicocca, Department of Economics, revised Dec 2012.
    9. Kano, Takashi & 加納, 隆 & Nason, James M., 2012. "Business Cycle Implications of Internal Consumption Habit for New Keynesian Models," Discussion Papers 2012-09, Graduate School of Economics, Hitotsubashi University.
    10. James M. Nason & Takashi Kano, 2004. "Business Cycle Implications of Habit Formation," Computing in Economics and Finance 2004 175, Society for Computational Economics.
    11. Carlo A. Favero, 2007. "Model Evaluation in Macroeconometrics: from early empirical macroeconomic models to DSGE models," Working Papers 327, IGIER (Innocenzo Gasparini Institute for Economic Research), Bocconi University.
    12. Fabio Canova & Eva Ortega, 1996. "Testing calibrated general equilibrium models," Economics Working Papers 166, Department of Economics and Business, Universitat Pompeu Fabra.
    13. Menner, Martin, 2007. "The role of search frictions for output and inflation dynamics: a Bayesian assessment," UC3M Working papers. Economics we076235, Universidad Carlos III de Madrid. Departamento de Economía.
    14. S. Meral Cakici, 2011. "Default Risk Premium and Aggregate Fluctuations in a Small Open Economy," Koç University-TUSIAD Economic Research Forum Working Papers 1131, Koc University-TUSIAD Economic Research Forum.
    15. Smets, Frank & Wouters, Raf & Del Negro, Marco & Schorfheide, Frank, 2005. "On the fit and forecasting performance of New-Keynesian models," Working Paper Series 491, European Central Bank.
    16. Huh, Hyeon-seung & Kim, David, 2013. "An empirical test of exogenous versus endogenous growth models for the G-7 countries," Economic Modelling, Elsevier, vol. 32(C), pages 262-272.
    17. Oladunni, Sunday, 2019. "External Shocks and Business Cycle Fluctuations in Oil-exporting Small Open Economies: The Case of Nigeria," MPRA Paper 98639, University Library of Munich, Germany.
    18. Christian Calmes & Frederic Dufourt, 2000. "Nominal Dynamics in Expected Market-Clearing Models," Cahiers de recherche CREFE / CREFE Working Papers 126, CREFE, Université du Québec à Montréal.
    19. Dupor, Bill & Han, Jing & Tsai, Yi-Chan, 2009. "What do technology shocks tell us about the New Keynesian paradigm?," Journal of Monetary Economics, Elsevier, vol. 56(4), pages 560-569, May.
    20. Shawn A Osell, 2018. "Comparative Monetary Tools: Open Market Operations and Interest on Reserves," Economics Bulletin, AccessEcon, vol. 38(1), pages 459-471.
    21. Frédéric Karamé, 2015. "Asymmetries and Markov-switching structural VAR," Post-Print hal-02296101, HAL.
    22. Hyeon-Seung Huh, 2013. "A Monte Carlo test for the identifying assumptions of the Blanchard and Quah (1989) model," Applied Economics Letters, Taylor & Francis Journals, vol. 20(6), pages 601-605, April.
    23. Menner, Martin, 2006. "Monetary propagation in search-theoretic monetary models," UC3M Working papers. Economics we066426, Universidad Carlos III de Madrid. Departamento de Economía.
    24. Patrick Minford & Konstantinos Theodoridis & David Meenagh, 2009. "Testing a Model of the UK by the Method of Indirect Inference," Open Economies Review, Springer, vol. 20(2), pages 265-291, April.
    25. Bamadev Paudel, 2017. "Alleviating Poverty through Job Creation: Quantity Equation of Money may Come into Play," Journal of Development Innovations, KarmaQuest International, vol. 1(1), pages 84-113, February.
    26. Frank Schorfheide, 2000. "Loss function-based evaluation of DSGE models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 15(6), pages 645-670.
    27. Carlo A. Favero, 2007. "The Econometrics of Monetary Policy: an Overview," Working Papers 329, IGIER (Innocenzo Gasparini Institute for Economic Research), Bocconi University.
    28. Menner, Martin, 2005. "A search-theoretic monetary business cycle model with capital formation," UC3M Working papers. Economics we056634, Universidad Carlos III de Madrid. Departamento de Economía.
    29. Hnatkovska, Viktoria & Marmer, Vadim & Tang, Yao, 2012. "Comparison of misspecified calibrated models: The minimum distance approach," Journal of Econometrics, Elsevier, vol. 169(1), pages 131-138.
    30. Waggoner, Daniel F. & Zha, Tao, 2003. "Likelihood preserving normalization in multiple equation models," Journal of Econometrics, Elsevier, vol. 114(2), pages 329-347, June.
    31. Cakici, S. Meral, 2011. "Financial integration and business cycles in a small open economy," Journal of International Money and Finance, Elsevier, vol. 30(7), pages 1280-1302.
    32. Paccagnini, Alessia, 2010. "DSGE Model Validation in a Bayesian Framework: an Assessment," MPRA Paper 24509, University Library of Munich, Germany.
    33. Rochelle M. Edge, 2000. "The effect of monetary policy on residential and structures investment under differential project planning and completion times," International Finance Discussion Papers 671, Board of Governors of the Federal Reserve System (U.S.).

  24. Cogley, Timothy & Nason, James M., 1993. "Impulse dynamics and propagation mechanisms in a real business cycle model," Economics Letters, Elsevier, vol. 43(1), pages 77-81.

    Cited by:

    1. Yao, Wenying & Kam, Timothy & Vahid, Farshid, 2017. "On weak identification in structural VARMA models," Economics Letters, Elsevier, vol. 156(C), pages 1-6.
    2. von Hagen, Jürgen & Zhang, Haiping, 2006. "Financial frictions, capital reallocation, and aggregate fluctuations," ZEI Working Papers B 03-2006, University of Bonn, ZEI - Center for European Integration Studies.
    3. Nigar Hashimzade & Salvador Ortigueira, 2004. "Endogenous Business Cycle With Search In The Labour Market," Royal Economic Society Annual Conference 2004 161, Royal Economic Society.
    4. Yao, Wenying & Kam, Timothy & Vahid, Farshid, 2014. "VAR(MA), what is it good for? more bad news for reduced-form estimation and inference," Working Papers 2014-14, University of Tasmania, Tasmanian School of Business and Economics.
    5. Giorgio Fagiolo & Andrea Roventini, 2016. "Macroeconomic Policy in DGSE and Agent-Based Models Redux: New Developments and Challenges Ahead," Sciences Po publications info:hdl:2441/dcditnq6282, Sciences Po.
    6. Giorgio Fagiolo & Andrea Roventini, 2012. "Macroeconomic Policy in DSGE and Agent-Based Models," Working Papers hal-04141079, HAL.
    7. Aizenman Joshua & Pasricha Gurnain K., 2011. "The Net Fiscal Expenditure Stimulus in the US, 2008-9: Less than What You Might Think, and Less than the Fiscal Stimuli of Most OECD Countries," The Economists' Voice, De Gruyter, vol. 8(2), pages 1-6, June.
    8. G. Fagiolo & A. Roventini, 2009. "On the Scientific Status of Economic Policy: A Tale of Alternative Paradigms," Voprosy Ekonomiki, NP Voprosy Ekonomiki, issue 6.
    9. Giovanni Dosi & Andrea Roventini, 2019. "More is Different ... and Complex! The Case for Agent-Based Macroeconomics," LEM Papers Series 2019/01, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    10. Stefano Eusepi & Bruce Preston, 2011. "Expectations, Learning, and Business Cycle Fluctuations," American Economic Review, American Economic Association, vol. 101(6), pages 2844-2872, October.
    11. Garey Ramey & Wouter J. den Haan & Joel Watson, 2000. "Job Destruction and Propagation of Shocks," American Economic Review, American Economic Association, vol. 90(3), pages 482-498, June.
    12. Martin Fukac & Adrian R. Pagan, 2010. "Structural macro-econometric modelling in a policy environment," Research Working Paper RWP 10-08, Federal Reserve Bank of Kansas City.
    13. Oleg Korenok & Norman R. Swanson, 2007. "How Sticky Is Sticky Enough? A Distributional and Impulse Response Analysis of New Keynesian DSGE Models," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 39(6), pages 1481-1508, September.
    14. Bénassy, Jean-Pascal, 2002. "Conférence François-Albert Angers (2002)," L'Actualité Economique, Société Canadienne de Science Economique, vol. 78(4), pages 423-457, Décembre.
    15. David R.F. Love & Jean-Francois Lamarche, 2004. "Anticipation and Real Business Cycles," Working Papers 0703, Brock University, Department of Economics, revised Sep 2007.
    16. Jean-Pascal Bénassy, 2006. "Dynamic models with non clearing markets," Working Papers halshs-00590433, HAL.
    17. Kato, Ryo, 2006. "Liquidity, infinite horizons and macroeconomic fluctuations," European Economic Review, Elsevier, vol. 50(5), pages 1105-1130, July.
    18. Timothy Cogley & James M. Nason, 1993. "Effects of the Hodrick-Prescott filter on trend and difference stationary time series: implications for business cycle research," Working Papers in Applied Economic Theory 93-01, Federal Reserve Bank of San Francisco.
    19. David R.F. Love, 2009. "Aggregate Comovements, Anticipation, and Business Cycles," Working Papers 0908, Brock University, Department of Economics.
    20. Giorgio Fagiolo & Andrea Roventini, 2016. "Macroeconomic Policy in DGSE and Agent-Based Models Redux," Working Papers hal-03459348, HAL.
    21. Gáti, Laura, 2022. "Monetary policy & anchored expectations: an endogenous gain learning model," Working Paper Series 2685, European Central Bank.
    22. Zhang, Haiping, 2005. "Limited Pledgeability, Asset Prices, and Macroeconomic Fluctuations," Bonn Econ Discussion Papers 11/2005, University of Bonn, Bonn Graduate School of Economics (BGSE).
    23. Martin Fukac & Adrian Pagan, 2006. "Issues in Adopting DSGE Models for Use in the Policy Process," Working Papers 2006/6, Czech National Bank.
    24. Luo Yulei & Young Eric R, 2009. "Rational Inattention and Aggregate Fluctuations," The B.E. Journal of Macroeconomics, De Gruyter, vol. 9(1), pages 1-43, April.
    25. Cook, David, 2001. "Time to enter and business cycles," Journal of Economic Dynamics and Control, Elsevier, vol. 25(8), pages 1241-1261, August.
    26. Benassy, Jean-Pascal, 1996. "Monopolistic competition, increasing returns to specialization and output persistence," Economics Letters, Elsevier, vol. 52(2), pages 187-191, August.

  25. Timothy Cogley & James M. Nason, 1991. "Effects of the Hodrick-Prescott filter on integrated time series," Proceedings, Federal Reserve Bank of San Francisco, issue Nov.

    Cited by:

    1. Kennedy, James E., 1998. "An Analysis of Time-Series Estimates of Capacity Utilization," Journal of Macroeconomics, Elsevier, vol. 20(1), pages 169-187, January.
    2. Andrés, Javier & Fatás, Antonio & Domenech, Rafael, 2004. "The Stabilizing Role of Government Size," CEPR Discussion Papers 4384, C.E.P.R. Discussion Papers.
    3. R. Anton Braun & Charles L. Evans, 1994. "Seasonality and equilibrium business cycle theories," Staff Report 168, Federal Reserve Bank of Minneapolis.
    4. Dobrescu, Emilian, 2006. "Macromodel of the Romanian market economy (version 2005)," MPRA Paper 35749, University Library of Munich, Germany.
    5. Andrle, Michal, 2008. "The Role of Trends and Detrending in DSGE Models," MPRA Paper 13289, University Library of Munich, Germany.
    6. João Valle e Azevedo, 2002. "Business Cycles: Cyclical Comovement Within the European Union in the Period 1960-1999. A Frequency Domain Approach," Working Papers w200205, Banco de Portugal, Economics and Research Department.
    7. Nicholas APERGIS, 1996. "The Cyclical Behavior Of Prices: Evidence From Seven Developing Countries," The Developing Economies, Institute of Developing Economies, vol. 34(2), pages 204-211, June.
    8. Jimborean, Ramona, 2013. "The exchange rate pass-through in the new EU member states," Economic Systems, Elsevier, vol. 37(2), pages 302-329.
    9. Lindsay Tedds, 1998. "What goes up must come down (but not necessarily at the same rate): Testing for asymmetry in New Zealand time series," New Zealand Economic Papers, Taylor & Francis Journals, vol. 32(1), pages 41-55.
    10. Dobrescu, Emilian, 2006. "Integration of macroeconomic behavioural relationships and the input-output block: Romanian modelling experience," MPRA Paper 35748, University Library of Munich, Germany.
    11. Valle e Azevedo, João, 2007. "Interpretation of the Effects of Filtering Integrated Time Series," MPRA Paper 6574, University Library of Munich, Germany.
    12. Semmler, Will & Gong, Gang, 1996. "Estimating parameters of real business cycle models," Journal of Economic Behavior & Organization, Elsevier, vol. 30(3), pages 301-325, September.
    13. Karras, Georgios & Song, Frank, 1996. "Sources of business-cycle volatility: An exploratory study on a sample of OECD countries," Journal of Macroeconomics, Elsevier, vol. 18(4), pages 621-637.
    14. David E. A. Giles, 1997. "Testing for Asymmetry in the Measured and Underground Business Cycles in New Zealand," The Economic Record, The Economic Society of Australia, vol. 73(222), pages 225-232, September.

  26. Diebold, Francis X. & Nason, James A., 1990. "Nonparametric exchange rate prediction?," Journal of International Economics, Elsevier, vol. 28(3-4), pages 315-332, May.
    See citations under working paper version above.

Chapters

  1. Pablo A. Guerrón-Quintana & James M. Nason, 2013. "Bayesian estimation of DSGE models," Chapters, in: Nigar Hashimzade & Michael A. Thornton (ed.), Handbook of Research Methods and Applications in Empirical Macroeconomics, chapter 21, pages 486-512, Edward Elgar Publishing.
    See citations under working paper version above.Sorry, no citations of chapters recorded.
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