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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. 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.
    5. Barbara Rossi & Atsushi Inoue & Yiru Wang, 2024. "Has the Phillips curve flattened?," French Stata Users' Group Meetings 2024 22, Stata Users Group.
    6. Todd E. Clark & Gergely Ganics & Elmar Mertens, 2024. "Constructing fan charts from the ragged edge of SPF forecasts," Working Papers 2429, Banco de España.
    7. Ascari, Guido & Fosso, Luca, 2024. "The international dimension of trend inflation," Journal of International Economics, Elsevier, vol. 148(C).
    8. 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.
    9. 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.
    10. Ascari, Guido & Bonomolo, Paolo & Haque, Qazi, 2024. "The Long-Run Phillips Curve is ... a Curve," CEPR Discussion Papers 19069, C.E.P.R. Discussion Papers.
    11. Diegel, Max, 2022. "Time-varying credibility, anchoring and the Fed's inflation target," Discussion Papers 2022/9, Free University Berlin, School of Business & Economics.
    12. Francesca Rondina, 2018. "Estimating unobservable inflation expectations in the New Keynesian Phillips Curve," Working Papers 1804E, University of Ottawa, Department of Economics.
    13. García, Juan Angel & Poon, Aubrey, 2019. "Inflation trends in Asia: implications for central banks," Working Paper Series 2338, European Central Bank.
    14. 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.
    15. Chen, Ji & Yang, Xinglin & Liu, Xiliang, 2022. "Learning, disagreement and inflation forecasting," The North American Journal of Economics and Finance, Elsevier, vol. 63(C).
    16. Ricardo Reis, 2020. "The People versus the Markets: A Parsimonious Model of Inflation Expectations," Discussion Papers 2033, Centre for Macroeconomics (CFM).
    17. Jmaes McNeil, 2020. "Monetary policy and the term structure of Inflation expectations with information frictions," Working Papers daleconwp2020-07, Dalhousie University, Department of Economics.
    18. Hur, Joonyoung, 2018. "Time-varying information rigidities and fluctuations in professional forecasters' disagreement," Economic Modelling, Elsevier, vol. 75(C), pages 117-131.
    19. 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.
    20. 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.
    21. 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.
    22. 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).
    23. 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.
    24. 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.
    25. 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.
    26. 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. Ascari, Guido & Fosso, Luca, 2024. "The international dimension of trend inflation," Journal of International Economics, Elsevier, vol. 148(C).
    3. 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.
    4. 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.
    5. Jmaes McNeil, 2020. "Monetary policy and the term structure of Inflation expectations with information frictions," Working Papers daleconwp2020-07, Dalhousie University, Department of Economics.
    6. 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.
    7. Saeed Zaman, 2021. "A Unified Framework to Estimate Macroeconomic Stars," Working Papers 21-23R2, Federal Reserve Bank of Cleveland, revised 31 May 2024.
    8. Easaw, Joshy, 2015. "Household Forming Inflation Expectations: Why Do They Overreact ?," Cardiff Economics Working Papers E2015/14, Cardiff University, Cardiff Business School, Economics Section.
    9. 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.
    10. 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).
    11. 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.
    12. 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, October –.
    13. Gomes, Pedro & Seoane, Hernán D., 2024. "Made in Europe: Monetary–Fiscal policy mix with financial frictions," European Economic Review, Elsevier, vol. 165(C).
    14. Lewis, Vivien & Roth, Markus, 2018. "Interest rate rules under financial dominance," Discussion Papers 29/2018, Deutsche Bundesbank.
    15. 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.
    16. 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.
    17. 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.
    18. 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. 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. Matthew S. Jaremski, 2017. "The (Dis)Advantages of Clearinghouses Before the Fed," NBER Working Papers 23113, National Bureau of Economic Research, Inc.
    2. Rockoff, Hugh, 2015. "O.M.W. Sprague (the man who “wrote the book” on financial crises) and the founding of the Federal Reserve," Journal of Financial Stability, Elsevier, vol. 17(C), pages 35-45.
    3. Asaf Bernstein & Eric Hughson & Marc D. Weidenmier, 2008. "Can a Lender of Last Resort Stabilize Financial Markets? Lessons from the Founding of the Fed," NBER Working Papers 14422, National Bureau of Economic Research, Inc.
    4. Gary Gorton & Lixin Huang, 2002. "Bank Panics and the Endogeneity of Central Banking," Center for Financial Institutions Working Papers 02-29, Wharton School Center for Financial Institutions, University of Pennsylvania.
    5. Prieto, Esteban & Eickmeier, Sandra & Marcellino, Massimiliano, 2013. "Time variation in macro-financial linkages," Discussion Papers 13/2013, Deutsche Bundesbank.
    6. Matthew S. Jaremski & David C. Wheelock, 2019. "The Founding of the Federal Reserve, the Great Depression and the Evolution of the U.S. Interbank Network," NBER Working Papers 26034, National Bureau of Economic Research, Inc.
    7. Eric Monnet & Francois R. Velde, 2020. "Money, Banking, and Old-School Historical Economics," Working Paper Series WP-2020-28, Federal Reserve Bank of Chicago.
    8. 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.
    9. Daniel Sanches, 2016. "On The Welfare Properties Of Fractional Reserve Banking," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 57(3), pages 935-954, August.
    10. Reinhart, Carmen & Felton, Andrew, 2008. "The First Global Financial Crisis of the 21st Century," MPRA Paper 11862, University Library of Munich, Germany.
    11. Gary Gorton & Andrew Winton, 2002. "Financial Intermediation," NBER Working Papers 8928, National Bureau of Economic Research, Inc.
    12. Daniel R. Sanches, 2013. "Banking crises and the role of bank coalitions," Working Papers 13-28, Federal Reserve Bank of Philadelphia.
    13. Michael D. Bordo & Angela Redish & Hugh Rockoff, 2015. "Why didn't Canada have a banking crisis in 2008 (or in 1930, or 1907, or …)?," Economic History Review, Economic History Society, vol. 68(1), pages 218-243, February.
    14. Margaret M. Jacobson & Ellis W. Tallman, 2013. "Liquidity provision during the crisis of 1914: private and public sources," Working Papers (Old Series) 1304, Federal Reserve Bank of Cleveland.
    15. 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.
    16. 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.
    17. Ellis W. Tallman & Jon R. Moen, 2018. "The transmission of the financial crisis in 1907: an empirical investigation," Cliometrica, Springer;Cliometric Society (Association Francaise de Cliométrie), vol. 12(2), pages 277-312, May.
    18. 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.
    19. Daniel R. Sanches, 2015. "On the welfare properties of fractional reserve banking," Working Papers 15-20, Federal Reserve Bank of Philadelphia.
    20. Gary Gorton & Ellis W. Tallman, 2016. "How Did Pre-Fed Banking Panics End?," NBER Working Papers 22036, National Bureau of Economic Research, Inc.
    21. 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).
    22. Rockoff, Hugh, 2022. "Milton Friedman on bailouts," Journal of Financial Stability, Elsevier, vol. 63(C).
    23. Christopher Hoag, 2019. "Bank Executive Experience in a Financial Crisis," Working Papers 1902, Trinity College, Department of Economics.
    24. Laurent Le Maux & Laurence Scialom, 2013. "Central banks and financial stability: rediscovering the lender-of-last-resort practice in a finance economy," Cambridge Journal of Economics, Cambridge Political Economy Society, vol. 37(1), pages 1-16.
    25. Jaremski, Matthew, 2015. "Clearinghouses as credit regulators before the fed?," Journal of Financial Stability, Elsevier, vol. 17(C), pages 10-21.
    26. Ellis W. Tallman & Elmus R. Wicker, 2010. "Banking and financial crises in United States history: what guidance can history offer policymakers?," Working Papers (Old Series) 1009, Federal Reserve Bank of Cleveland.
    27. Frederic S. Mishkin & Eugene N. White, 2014. "Unprecedented Actions: The Federal Reserve’s Response to the Global Financial Crisis in Historical Perspective," NBER Working Papers 20737, National Bureau of Economic Research, Inc.
    28. 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.
    29. 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.
    30. Hoag, Christopher, 2005. "Deposit drains on "interest-paying" banks before financial crises," Explorations in Economic History, Elsevier, vol. 42(4), pages 567-585, October.
    31. 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.
    32. Matthew S. Jaremski & David C. Wheelock, 2024. "Theodore Roosevelt, the Election of 1912, and the Founding of the Federal Reserve," NBER Working Papers 32987, National Bureau of Economic Research, Inc.
    33. 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.
    34. 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.
    35. Gerba, Eddie & Leiva-León, Danilo & Rubio, Margarita, 2024. "Inspecting cross-border macro-financial mechanisms," Journal of International Money and Finance, Elsevier, vol. 145(C).
    36. Bernstein, Asaf & Hughson, Eric & Weidenmier, Marc D., 2010. "Identifying the effects of a lender of last resort on financial markets: Lessons from the founding of the fed," Journal of Financial Economics, Elsevier, vol. 98(1), pages 40-53, October.
    37. Christopher Hoag, 2015. "Clearinghouse Loan Certificates as Interbank Loans," Working Papers 1504, Trinity College, Department of Economics, revised Jun 2015.
    38. 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.
    39. Breitung, Jörg & Eickmeier, Sandra, 2015. "Analyzing business cycle asymmetries in a multi-level factor model," Economics Letters, Elsevier, vol. 127(C), pages 31-34.
    40. James Morley, 2016. "Macro-Finance Linkages," Journal of Economic Surveys, Wiley Blackwell, vol. 30(4), pages 698-711, September.
    41. Ellis W. Tallman, 2012. "The Panic of 1907," Working Papers (Old Series) 1228, Federal Reserve Bank of Cleveland.
    42. Christopher Hoag, 2019. "Bank Executive Experience with Clearinghouse Loan Certificates," Working Papers 1903, Trinity College, Department of Economics.
    43. 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.
    44. Owen F. Humpage, 2023. "On the Origins of the Federal Reserve System and Its Structure," Working Papers 23-17, Federal Reserve Bank of Cleveland.

  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. Galvão, Ana Beatriz, 2017. "Data revisions and DSGE models," Journal of Econometrics, Elsevier, vol. 196(1), pages 215-232.
    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).
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    918. Symitsi, Efthymia & Symeonidis, Lazaros & Kourtis, Apostolos & Markellos, Raphael, 2018. "Covariance forecasting in equity markets," Journal of Banking & Finance, Elsevier, vol. 96(C), pages 153-168.
    919. Davide De Gaetano, 2018. "Forecast Combinations for Structural Breaks in Volatility: Evidence from BRICS Countries," JRFM, MDPI, vol. 11(4), pages 1-13, October.
    920. Soudeep Deb, 2023. "Analyzing airlines stock price volatility during COVID‐19 pandemic through internet search data," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 28(2), pages 1497-1513, April.
    921. Wu, Xinyu & Yin, Xuebao & Umar, Zaghum & Iqbal, Najaf, 2023. "Volatility forecasting in the Bitcoin market: A new proposed measure based on the VS-ACARR approach," The North American Journal of Economics and Finance, Elsevier, vol. 67(C).
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    923. Korobova, Elena & Fantazzini, Dean, 2024. "Stablecoins and credit risk: when do they stop being stable?," MPRA Paper 122951, University Library of Munich, Germany.
    924. Ahmed BenSaïda & Sabri Boubaker & Duc Khuong Nguyen & Skander Slim, 2018. "Value‐at‐risk under market shifts through highly flexible models," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 37(8), pages 790-804, December.
    925. 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).
    926. 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.
    927. Bonnier, Jean-Baptiste, 2022. "Forecasting crude oil volatility with exogenous predictors: As good as it GETS?," Energy Economics, Elsevier, vol. 111(C).
    928. 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).
    929. 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.
    930. 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.
    931. 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).
    932. 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.
    933. 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.
    934. Richard Gerlach & Chao Wang, 2016. "Bayesian Semi-parametric Realized-CARE Models for Tail Risk Forecasting Incorporating Realized Measures," Papers 1612.08488, arXiv.org.
    935. Richard Gerlach & Chao Wang, 2018. "Semi-parametric Dynamic Asymmetric Laplace Models for Tail Risk Forecasting, Incorporating Realized Measures," Papers 1805.08653, arXiv.org.
    936. 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.
    937. Lu Wang & Shan Li & Chao Liang, 2024. "Exploring the impact of oil security attention on oil volatility: A new perspective," International Finance, Wiley Blackwell, vol. 27(1), pages 61-80, April.
    938. 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.
    939. 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.
    940. Maki, Daiki, 2024. "Asymmetric effect of trading volume on realized volatility," International Review of Economics & Finance, Elsevier, vol. 94(C).
    941. 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.
    942. Ioannis D. Vrontos & John Galakis & Ekaterini Panopoulou & Spyridon D. Vrontos, 2024. "Forecasting GDP growth: The economic impact of COVID‐19 pandemic," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 43(4), pages 1042-1086, July.
    943. 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.
    944. Huang, Yirong & Luo, Yi, 2024. "Forecasting conditional volatility based on hybrid GARCH-type models with long memory, regime switching, leverage effect and heavy-tail: Further evidence from equity market," The North American Journal of Economics and Finance, Elsevier, vol. 72(C).
    945. 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.
    946. 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.
    947. Romero, Eva, 2024. "A stochastic volatility model for volatility asymmetry and propagation," DES - Working Papers. Statistics and Econometrics. WS 43887, Universidad Carlos III de Madrid. Departamento de Estadística.
    948. 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.
    949. 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).
    950. 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.
    951. 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).
    952. 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.
    953. 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.
    954. 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.
    955. Mawuli Segnon & Stelios Bekiros, 2019. "Forecasting Volatility in Cryptocurrency Markets," CQE Working Papers 7919, Center for Quantitative Economics (CQE), University of Muenster.
    956. 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.
    957. 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.
    958. 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.
    959. 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. Fleissig, Adrian R. & Swofford, James L., 2023. "The impact of Brexit on U.K. habits for expenditure on imports and consumption," International Review of Economics & Finance, Elsevier, vol. 88(C), pages 196-203.
    9. 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 DSGE and Agent-Based Models Redux: New Developments and Challenges Ahead," LEM Papers Series 2016/17, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    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. Òscar Jordà & Alan M. Taylor, 2024. "Local Projections," Working Paper Series 2024-24, Federal Reserve Bank of San Francisco.
    20. 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.
    21. 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.
    22. 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.
    23. 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.
    24. 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.
    25. Ronayne, David, 2011. "Which Impulse Response Function?," Economic Research Papers 270753, University of Warwick - Department of Economics.
    26. 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.
    27. 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.
    28. Anna Mikusheva, 2014. "Estimation of dynamic stochastic general equilibrium models (in Russian)," Quantile, Quantile, issue 12, pages 1-21, February.
    29. 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.
    30. Òscar Jordà & Sharon Kozicki, 2007. "Estimation and Inference by the Method of Projection Minimum Distance," Staff Working Papers 07-56, Bank of Canada.
    31. 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.
    32. 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.
    33. 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.
    34. 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.
    35. 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.
    36. 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.
    37. 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.
    38. Ruge-Murcia, Francisco, 2020. "Estimating nonlinear dynamic equilibrium models by matching impulse responses," Economics Letters, Elsevier, vol. 197(C).
    39. 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.
    40. Luca Brugnolini, 2018. "About Local Projection Impulse Response Function Reliability," CEIS Research Paper 440, Tor Vergata University, CEIS, revised 09 Jun 2018.
    41. 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.
    42. Theodoridis, Konstantinos, 2011. "An efficient minimum distance estimator for DSGE models," Bank of England working papers 439, Bank of England.
    43. 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.
    44. 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.
    45. 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.
    46. Guay, Alain & Pelgrin, Florian, 2023. "Structural VAR models in the Frequency Domain," Journal of Econometrics, Elsevier, vol. 236(1).
    47. 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.
    48. Matteo Barigozzi & Roxana Halbleib & David Veredas, 2012. "Which model to match?," Working Papers 1229, Banco de España.
    49. Mario Martinoli & Raffaello Seri & Fulvio Corsi, 2024. "Generalized Optimization Algorithms for Complex Models," LEM Papers Series 2024/18, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    50. 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.
    51. 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.
    52. 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.
    53. 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.
    54. 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.
    55. 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.
    56. 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).
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    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.
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    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.
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    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.
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    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.
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    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.
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    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.
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    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.
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    99. 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.
    100. Nuno Alves, 2004. "A Flexible View on Prices," Working Papers w200406, Banco de Portugal, Economics and Research Department.
    101. 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.
    102. 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.
    103. Andrzej Toroj, 2011. "Competitiveness channel in Poland and Slovakia: a pre-EMU DSGE analysis," NBP Working Papers 86, Narodowy Bank Polski.
    104. Aurelijus Dabušinskas & Dmitry Kulikov, 2007. "New Keynesian Phillips curve for Estonia, Latvia and Lithuania," Bank of Estonia Working Papers 2007-07, Bank of Estonia, revised 26 Aug 2007.
    105. Taremi, Mohammad & Esksndari, Farzad & Bameni Moghadam, Mohammad, 2016. "Identifiability of Dynamic Stochastic General Equilibrium Models with Covariance Restrictions," Journal of Money and Economy, Monetary and Banking Research Institute, Central Bank of the Islamic Republic of Iran, vol. 11(3), pages 225-243, July.
    106. Carlos Medel, 2021. "Forecasting Brazilian Inflation with the Hybrid New Keynesian Phillips Curve: Assessing the Predictive Role of Trading Partners," Working Papers Central Bank of Chile 900, Central Bank of Chile.
    107. Kamal, Khnd. Md. Mostafa, 2014. "Impact of Imported Intermediate Goods on Inflation Dynamics: Evidence from India," Bangladesh Development Studies, Bangladesh Institute of Development Studies (BIDS), vol. 37(04), pages 53-63, December.
    108. Aragón, Edilean Kleber da Silva Bejarano & Galvão, Ana Beatriz, 2023. "Shock-based inference on the Phillips curve with the cost channel," Economic Modelling, Elsevier, vol. 126(C).
    109. Krogh, Tord S., 2015. "Macro frictions and theoretical identification of the New Keynesian Phillips curve," Journal of Macroeconomics, Elsevier, vol. 43(C), pages 191-204.
    110. Monica Jain, 2018. "Sluggish Forecasts," Staff Working Papers 18-39, Bank of Canada.
    111. 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.
    112. 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.
    113. Antoine, Bertille & Boldea, Otilia, 2018. "Efficient estimation with time-varying information and the New Keynesian Phillips Curve," Journal of Econometrics, Elsevier, vol. 204(2), pages 268-300.
    114. Alain Guay & Florian Pelgrin, 2007. "Using Implied Probabilities to Improve Estimation with Unconditional Moment Restrictions," Cahiers de recherche 0747, CIRPEE.
    115. 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. Li, Dan & Drovandi, Christopher & Clements, Adam, 2024. "Outlier-robust methods for forecasting realized covariance matrices," International Journal of Forecasting, Elsevier, vol. 40(1), pages 392-408.
    16. 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.
    17. 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.
    18. G. C. Livingston & Darfiana Nur, 2023. "Bayesian inference of multivariate-GARCH-BEKK models," Statistical Papers, Springer, vol. 64(5), pages 1749-1774, October.
    19. 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).
    20. 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.
    21. 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.
    22. 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).
    23. 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.
    24. 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.
    25. 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.
    26. 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.
    27. 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.
    28. 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).
    29. J. Eduardo Vera-Vald'es, 2017. "On Long Memory Origins and Forecast Horizons," Papers 1712.08057, arXiv.org.
    30. 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.
    31. 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.
    32. 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.
    33. 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.
    34. 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.
    35. 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).
    36. 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).
    37. 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.
    38. 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.
    39. 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.
    40. 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.
    41. 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.
    42. 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.
    43. 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.
    44. A Clements & D Preve, 2019. "A Practical Guide to Harnessing the HAR Volatility Model," NCER Working Paper Series 120, National Centre for Econometric Research.
    45. Hansen, Peter Reinhard & Lunde, Asger, 2006. "Consistent ranking of volatility models," Journal of Econometrics, Elsevier, vol. 131(1-2), pages 97-121.
    46. 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.
    47. 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.
    48. 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.
    49. 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.
    50. 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.
    51. Patra, Saswat, 2024. "An empirical analysis of the volume-volatility nexus in crude oil markets under structural breaks: Implications for forecasting," International Review of Economics & Finance, Elsevier, vol. 94(C).
    52. 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".
    53. Zhu, Jiaji & Han, Wei & Zhang, Junchao, 2023. "Does climate risk matter for gold price volatility?," Finance Research Letters, Elsevier, vol. 58(PC).
    54. 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.
    55. 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.
    56. 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.
    57. 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.
    58. 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.
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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.
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    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.
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    93. Anella Munro & Rishab Sethi, 2006. "The Present Value Model and New Zealand’s Current Account," Reserve Bank of New Zealand Discussion Paper Series DP2006/12, Reserve Bank of New Zealand.
    94. Tarlok Singh, 2007. "Intertemporal Optimizing Models Of Trade And Current Account Balance: A Survey," Journal of Economic Surveys, Wiley Blackwell, vol. 21(1), pages 25-64, February.
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    98. Mathias Hoffmann & Ulrich Woitek, 2011. "Emerging from the war: Gold Standard mentality, current accounts and the international business cycle 1885-1939," ECON - Working Papers 057, Department of Economics - University of Zurich.
    99. Yu-Hsi Chou & Chun-Yen Tsai, 2021. "Sources of current account fluctuations in Taiwan: 1989–2015," Empirical Economics, Springer, vol. 60(4), pages 2125-2151, April.

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    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.
    18. Fernando Pérez de Gracia & Juncal Cuñado, "undated". "Intertemporal Current Account and Productivity Shocks: Evidence for Some European Countries," Working Papers on International Economics and Finance 01-05, FEDEA.
    19. 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.
    20. Klára Plecitá & Ladislava Grochová & Luboš Střelec, 2013. "Current account imbalances in the euro area," Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis, Mendel University Press, vol. 61(7), pages 2631-2638.
    21. 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.
    22. 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.
    23. Michel Normandin & Bruno Powo Fosso, 2006. "Global versus Country-Specific Shocks and International Business Cycles," Cahiers de recherche 0601, CIRPEE.
    24. 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.
    25. Dilem Yıldırım & Onur A. Koska, 2018. "Puzzling out the Feldstein-Horioka Paradox for Turkey by a Time-Varying Parameter Approach," ERC Working Papers 1808, ERC - Economic Research Center, Middle East Technical University, revised Apr 2018.
    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.
    27. Ghironi, Fabio & Iscan, Talan B. & Rebucci, Alessandro, 2008. "Net foreign asset positions and consumption dynamics in the international economy," Journal of International Money and Finance, Elsevier, vol. 27(8), pages 1337-1359, December.
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    29. Cunado, Juncal & Gracia, Fernando Perez de, 2005. "Current account and productivity: evidence for some European countries," Journal of Policy Modeling, Elsevier, vol. 27(1), pages 75-89, February.
    30. Harrison, Andre & Reed, Robert R., 2023. "Gross capital inflows, the U.S. economy, and the response of the Federal Reserve," Journal of International Money and Finance, Elsevier, vol. 139(C).
    31. Rungrudee Suetorsak, 2006. "Banking crisis in east asia: A micro/macro perspective," Review of Quantitative Finance and Accounting, Springer, vol. 26(3), pages 219-248, May.
    32. 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.
    33. 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.
    34. Gil Kim & Lian An & Yoonbai Kim, 2012. "The behaviour of the real exchange rate and current account," Macroeconomics and Finance in Emerging Market Economies, Taylor & Francis Journals, vol. 5(2), pages 139-160, December.
    35. 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.
    36. Souki, Kaouthar & Enders, Walter, 2008. "Assessing the importance of global shocks versus country-specific shocks," Journal of International Money and Finance, Elsevier, vol. 27(8), pages 1420-1429, December.
    37. Apergis, Nicholas & Tsoumas, Chris, 2009. "A survey of the Feldstein-Horioka puzzle: What has been done and where we stand," Research in Economics, Elsevier, vol. 63(2), pages 64-76, June.
    38. Matsubayashi, Yoichi, 2006. "Structural and cyclical movements of the current account in Japan: An alternative measure," Japan and the World Economy, Elsevier, vol. 18(4), pages 545-567, December.
    39. Tarlok Singh, 2007. "Intertemporal Optimizing Models Of Trade And Current Account Balance: A Survey," Journal of Economic Surveys, Wiley Blackwell, vol. 21(1), pages 25-64, February.
    40. Aikaterini Karadimitropoulou & Miguel A. León-Ledesma, 2009. "Sources of Current Account Fluctuations in Industrialized Countries," Studies in Economics 0910, School of Economics, University of Kent.
    41. Mathias Hoffmann & Ulrich Woitek, 2011. "Emerging from the war: Gold Standard mentality, current accounts and the international business cycle 1885-1939," ECON - Working Papers 057, Department of Economics - University of Zurich.
    42. Helmut Herwartz & Florian Siedenburg, 2007. "Determinants of Current Account Imbalances in 16 OECD Countries: An Out-Of-Sample Perspective," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 143(2), pages 349-374, July.
    43. Anthony Makin & Paresh Narayan, 2013. "Re-examining the “twin deficits” hypothesis: evidence from Australia," Empirical Economics, Springer, vol. 45(2), pages 817-829, October.
    44. Seema Wati Narayan, 2020. "Asian Current Account Balances And Spillovers From A Foreign Country, A Region And The United States," Bulletin of Monetary Economics and Banking, Bank Indonesia, vol. 23(1), pages 1-24, April.

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    4. Lokman Gunduz, 2001. "Monetary Transmission and Bank Lending in Turkey," Istanbul Stock Exchange Review, Research and Business Development Department, Borsa Istanbul, vol. 5(18), pages 13-32.
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    7. Güneş Kamber & James Morley & Benjamin Wong, 2017. "Intuitive and Reliable Estimates of the Output Gap from a Beveridge-Nelson Filter," Reserve Bank of New Zealand Discussion Paper Series DP2017/01, Reserve Bank of New Zealand.
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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.
    See citations under working paper version above.
  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.

    Cited by:

    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 / Editura Economica, 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. Alovokpinhou, Sedjro Aaron & Malikane, Christopher, 2024. "The effect of output and the real exchange rate on equity price dynamics," The North American Journal of Economics and Finance, Elsevier, vol. 72(C).
    31. 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.
    32. 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.
    33. 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.
    34. NAKAJIMA, Jouchi, 2023. "Estimating trend inflation in a regime-switching Phillips curve," Discussion Paper Series 750, Institute of Economic Research, Hitotsubashi University.
    35. Tomasz Grabia, 2014. "Kontrowersje wokół koncepcji krzywej Phillipsa," Gospodarka Narodowa. The Polish Journal of Economics, Warsaw School of Economics, issue 5, pages 5-28.
    36. José Francisco Bellod Redondo, 2013. "La NAIRU y la pseudociencia neoliberal," Revista de Economia Critica, Asociacion de Economia Critica, vol. 16, pages 18-43.
    37. 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.
    38. 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.
    39. 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.
    40. 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.
    41. 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.
    42. Jeremy Kronick & Farah Omran, 2019. "Inflation after the Crisis: What’s the Story?," e-briefs 293, C.D. Howe Institute.
    43. 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.
    44. 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.

    Cited by:

    1. Byrne, Joseph P. & Nagayasu, Jun, 2008. "Structural Breaks in the Real Exchange Rate and Real Interest Rate Relationship," SIRE Discussion Papers 2008-52, Scottish Institute for Research in Economics (SIRE).
    2. Takatoshi Ito & Kimie Harada, 2000. "Japan Premium and Stock Prices: Two Mirrors of Japanese Banking Crises," NBER Working Papers 7997, National Bureau of Economic Research, Inc.
    3. Francisco de Castro & José M. González-Páramo & Pablo Hernández de Cos, 2001. "Evaluating the dynamics of fiscal policy in Spain: patterns of interdependence and consistency of public expenditure and revenues," Working Papers 0103, Banco de España.
    4. Steven Cook, 2005. "Threshold autoregressive testing procedures and structural change in cointegrating relationships," Economics Bulletin, AccessEcon, vol. 3(53), pages 1-11.
    5. Yan Qian & Zijun Wang, 2021. "A model selection approach to jointly testing for structural breaks and cointegration with application to the Eurocurrency interest rates market," Empirical Economics, Springer, vol. 61(2), pages 799-825, August.
    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.
    9. Allan Gregory & Bruce E. Hansen, 1992. "Residual-based Tests For Cointegration In Models With Regime Shifts," Working Paper 862, Economics Department, Queen's University.
    10. Guidi, Francesco, 2010. "Cointegration relationship and time varying co-movements among Indian and Asian developed stock markets," MPRA Paper 19853, University Library of Munich, Germany.
    11. Mohamed, Hazik & Masih, Mansur, 2017. "Stock market comovement among the ASEAN-5 : a causality analysis," MPRA Paper 98781, University Library of Munich, Germany.
    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.
    13. Gabriel, Vasco J. & Psaradakis, Zacharias & Sola, Martin, 2002. "A simple method of testing for cointegration subject to multiple regime changes," Economics Letters, Elsevier, vol. 76(2), pages 213-221, July.
    14. Charles, Amélie & Darné, Olivier & Fouilloux, Jessica, 2013. "Market efficiency in the European carbon markets," Energy Policy, Elsevier, vol. 60(C), pages 785-792.
    15. Saafi Sami & Farhat Abdeljelil & Haj Mohamed Meriem Bel, 2015. "Testing the relationships between shadow economy and unemployment: empirical evidence from linear and nonlinear tests," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 19(5), pages 585-608, December.
    16. Alexis Vessat, 2016. "Energy Consumption-Economic Growth nexus in Sub-Saharan Countries: what can we learn from a meta-analysis? (1996-2016)," Post-Print hal-01944514, HAL.
    17. Panopoulou, Ekaterini & Pantelidis, Theologos, 2016. "The Fisher effect in the presence of time-varying coefficients," Computational Statistics & Data Analysis, Elsevier, vol. 100(C), pages 495-511.
    18. Loesse Jacques Esso, 2010. "Re-Examining The Finance-Growth Nexus: Structural Break, Threshold Cointegration And Causality Evidence From The Ecowas," Journal of Economic Development, Chung-Ang Unviersity, Department of Economics, vol. 35(3), pages 57-79, September.
    19. Thai-Ha Le, 2015. "Exchange rate determination in Vietnam," Economics Bulletin, AccessEcon, vol. 35(1), pages 657-664.
    20. Tsutomu Watanabe & Tomoyoshi Yabu, 2018. "The Demand for Money at the Zero Interest Rate Bound," Working Papers on Central Bank Communication 002, University of Tokyo, Graduate School of Economics.
    21. Guidi, Francesco & Gupta, Rakesh, 2010. "Cointegration and conditional correlations among German and Eastern Europe equity markets," MPRA Paper 21732, University Library of Munich, Germany.
    22. A. Durre, 2006. "The Liquidity Premium in the Money Market: A Comparison of the German Mark Period and the Euro Area," Post-Print hal-00171141, HAL.
    23. Durré, Alain & Evjen, Snorre & Pilegaard, Rasmus, 2003. "Estimating risk premia in money market rates," Working Paper Series 221, European Central Bank.
    24. Chan, Tze-Haw & Lean, Hooi Hooi & Hooy, Chee Wooi, 2013. "A Macro Assessment of China Effects on Malaysian Exports and Trade Balances," MPRA Paper 48801, University Library of Munich, Germany, revised 01 Aug 2013.
    25. Creti, Anna & Jouvet, Pierre-André & Mignon, Valérie, 2012. "Carbon price drivers: Phase I versus Phase II equilibrium?," Energy Economics, Elsevier, vol. 34(1), pages 327-334.
    26. Caporin, Massimiliano & Fontini, Fulvio, 2017. "The long-run oil–natural gas price relationship and the shale gas revolution," Energy Economics, Elsevier, vol. 64(C), pages 511-519.
    27. Gawon Yoon, 1997. "Further analysis of official and black market exchange rates in Brazil: data transformations and structural changes," Applied Financial Economics, Taylor & Francis Journals, vol. 7(3), pages 317-325.
    28. Lukáš Frýd, 2020. "Alternativní pojetí Feldsteinova-Horiokova modelu za předpokladu proměnlivých parametrů: studie dopadu vstupu České republiky do Evropské unie [Alternative Concept of the Feldstein-Horioka Model un," Politická ekonomie, Prague University of Economics and Business, vol. 2020(2), pages 121-141.
    29. Kleimeier, S. & Sander, H., 2002. "European financial market integration: evidence on the emergence of a single Eurozone retail banking market," Research Memorandum 060, Maastricht University, Maastricht Research School of Economics of Technology and Organization (METEOR).
    30. Adeel Saleem & Maqbool H. Sial & Ahmed Raza Cheema, 2023. "Does an asymmetric nexus exist between exports and economic growth in Pakistan? Recent evidence from a nonlinear ARDL approach," Economic Change and Restructuring, Springer, vol. 56(1), pages 297-326, February.
    31. Tanweer Akram & Huiqing Li, 2017. "An Inquiry Concerning Long-term US Interest Rates Using Monthly Data," Economics Working Paper Archive wp_894, Levy Economics Institute.
    32. Karsten Schweikert, 2022. "Oracle Efficient Estimation of Structural Breaks in Cointegrating Regressions," Journal of Time Series Analysis, Wiley Blackwell, vol. 43(1), pages 83-104, January.
    33. Ferdinand Owoundi & Jacques Landry Bikai, 2021. "On the neutrality of the exchange rate regime regarding real misalignments: Evidence from sub‐Saharan Africa," Bulletin of Economic Research, Wiley Blackwell, vol. 73(3), pages 327-345, July.
    34. Murat Cetin & Harun Demir & Selin Saygin, 2021. "Financial Development, Technological Innovation and Income Inequality: Time Series Evidence from Turkey," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 156(1), pages 47-69, July.
    35. Le, Thai-Ha, 2015. "Do soaring global oil prices heat up the housing market? Evidence from Malaysia," Economics Discussion Papers 2015-8, Kiel Institute for the World Economy (IfW Kiel).
    36. Vasco J. Gabriel & Luis F. Martins, 2010. "Cointegration Tests Under Multiple Regime Shifts: An Application to the Stock Price-Dividend Relationship," NIPE Working Papers 28/2010, NIPE - Universidade do Minho.
    37. Haug Alfred A & Beyer Andreas & Dewald William, 2011. "Structural Breaks and the Fisher Effect," The B.E. Journal of Macroeconomics, De Gruyter, vol. 11(1), pages 1-31, May.
    38. Schweikert Karsten, 2020. "Testing for cointegration with threshold adjustment in the presence of structural breaks," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 24(1), pages 1-28, February.
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    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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