Bayesian Model Selection and Forecasting in Noncausal Autoregressive Models
Author
Abstract
Suggested Citation
Download full text from publisher
Other versions of this item:
- Markku Lanne & Arto Luoma & Jani Luoto, 2012. "Bayesian Model Selection And Forecasting In Noncausal Autoregressive Models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 27(5), pages 812-830, August.
References listed on IDEAS
- Jeremy Rudd & Karl Whelan, 2006.
"Can Rational Expectations Sticky-Price Models Explain Inflation Dynamics?,"
American Economic Review, American Economic Association, vol. 96(1), pages 303-320, March.
- Karl Whelan & Jeremy Rudd, 2003. "Can Rational Expectations Sticky-Price Models Explain Inflation Dynamics?," Computing in Economics and Finance 2003 181, Society for Computational Economics.
- Jeremy Rudd & Karl Whelan, 2003. "Can rational expectations sticky-price models explain inflation dynamics," Open Access publications 10197/239, School of Economics, University College Dublin.
- Karl Whelan & Jeremy Rudd, 2006. "Can rational expectations sticky-price models explain inflation dynamics?," Open Access publications 10197/199, School of Economics, University College Dublin.
- Jeremy B. Rudd & Karl Whelan, 2003. "Can rational expectations sticky-price models explain inflation dynamics?," Finance and Economics Discussion Series 2003-46, Board of Governors of the Federal Reserve System (U.S.).
- Rudd, Jeremy & Whelan, Karl, 2003. "Can Rational Expectations Sticky-Price Models Explain Inflation Dynamics," Research Technical Papers 5/RT/03, Central Bank of Ireland.
- John Geweke, 1999.
"Using simulation methods for bayesian econometric models: inference, development,and communication,"
Econometric Reviews, Taylor & Francis Journals, vol. 18(1), pages 1-73.
- John Geweke, 1998. "Using simulation methods for Bayesian econometric models: inference, development, and communication," Staff Report 249, Federal Reserve Bank of Minneapolis.
- Bauwens, Luc & Lubrano, Michel & Richard, Jean-Francois, 2000. "Bayesian Inference in Dynamic Econometric Models," OUP Catalogue, Oxford University Press, number 9780198773139.
- Marriott, John & Newbold, Paul, 2000. "The strength of evidence for unit autoregressive roots and structural breaks: A Bayesian perspective," Journal of Econometrics, Elsevier, vol. 98(1), pages 1-25, September.
- Luc Bauwens & Michel Lubrano, 1998.
"Bayesian inference on GARCH models using the Gibbs sampler,"
Econometrics Journal, Royal Economic Society, vol. 1(Conferenc), pages 23-46.
- Bauwens, L. & Lubrano, M., 1996. "Bayesian Inference on GARCH Models Using the Gibbs Sampler," G.R.E.Q.A.M. 96a21, Universite Aix-Marseille III.
- Bauwens, L. & Lubrano, M., 1998. "Bayesian inference on GARCH models using the Gibbs sampler," LIDAM Reprints CORE 1307, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
- BAUWENs, Luc & LUBRANO , Michel, 1996. "Bayesian Inference on GARCH Models using the Gibbs Sampler," LIDAM Discussion Papers CORE 1996027, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
- Andrews, Beth & Davis, Richard A. & Jay Breidt, F., 2006. "Maximum likelihood estimation for all-pass time series models," Journal of Multivariate Analysis, Elsevier, vol. 97(7), pages 1638-1659, August.
- Frank Smets & Rafael Wouters, 2007.
"Shocks and Frictions in US Business Cycles: A Bayesian DSGE Approach,"
American Economic Review, American Economic Association, vol. 97(3), pages 586-606, June.
- Smets, Frank & Wouters, Raf, 2007. "Shocks and frictions in US business cycles: a Bayesian DSGE approach," Working Paper Series 722, European Central Bank.
- Smets, Frank & Wouters, Rafael, 2007. "Shocks and Frictions in US Business Cycles: A Bayesian DSGE Approach," CEPR Discussion Papers 6112, C.E.P.R. Discussion Papers.
- Frank Smets & Raf Wouters, 2007. "Shocks and Frictions in US Business Cycles : a Bayesian DSGE Approach," Working Paper Research 109, National Bank of Belgium.
- Gali, Jordi & Gertler, Mark & David Lopez-Salido, J., 2005.
"Robustness of the estimates of the hybrid New Keynesian Phillips curve,"
Journal of Monetary Economics, Elsevier, vol. 52(6), pages 1107-1118, September.
- Jordi Galí & Mark Gertler & J. David López-Salido, 2003. "Robustness of the Estimates of the Hybrid New Keynesian Phillips Curve," Working Papers 44, Barcelona School of Economics.
- Jordi Galí & Mark Gertler & David López-Salido, 2005. "Robustness of the Estimates of the Hybrid New Keynesian Phillips Curve," Working Papers 0520, Banco de España.
- Jordi Gali & Mark Gertler & David Lopez-Salido, 2005. "Robustness of the Estimates of the Hybrid New Keynesian Phillips Curve," NBER Working Papers 11788, National Bureau of Economic Research, Inc.
- James H. Stock & Mark W. Watson, 2007.
"Why Has U.S. Inflation Become Harder to Forecast?,"
Journal of Money, Credit and Banking, Blackwell Publishing, vol. 39(s1), pages 3-33, February.
- James H. Stock & Mark W. Watson, 2006. "Why Has U.S. Inflation Become Harder to Forecast?," NBER Working Papers 12324, National Bureau of Economic Research, Inc.
- John Geweke, 1999. "Using Simulation Methods for Bayesian Econometric Models," Computing in Economics and Finance 1999 832, Society for Computational Economics.
- Geweke, J, 1993. "Bayesian Treatment of the Independent Student- t Linear Model," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 8(S), pages 19-40, Suppl. De.
- Lanne, Markku & Saikkonen, Pentti, 2008.
"Modeling Expectations with Noncausal Autoregressions,"
MPRA Paper
8411, University Library of Munich, Germany.
- Markku Lanne & Pentti Saikkonen, 2008. "Modeling Expectations with Noncausal Autoregressions," Economics Working Papers ECO2008/20, European University Institute.
- Nelson, Charles R & Schwert, G William, 1977. "Short-Term Interest Rates as Predictors of Inflation: On Testing the Hypothesis That the Real Rate of Interest is Constant," American Economic Review, American Economic Association, vol. 67(3), pages 478-486, June.
- Campbell, John Y & Mankiw, N Gregory, 1990.
"Permanent Income, Current Income, and Consumption,"
Journal of Business & Economic Statistics, American Statistical Association, vol. 8(3), pages 265-279, July.
- John Y. Campbell & N. Gregory Mankiw, 1987. "Permanent Income, Current Income, and Consumption," NBER Working Papers 2436, National Bureau of Economic Research, Inc.
- Campbell, John Y. & Mankiw, N. Gregory, 1990. "Permanent Income, Current Income, and Consumption," Scholarly Articles 3353762, Harvard University Department of Economics.
- Fama, Eugene F. & Gibbons, Michael R., 1984. "A comparison of inflation forecasts," Journal of Monetary Economics, Elsevier, vol. 13(3), pages 327-348, May.
- Gali, Jordi & Gertler, Mark, 1999.
"Inflation dynamics: A structural econometric analysis,"
Journal of Monetary Economics, Elsevier, vol. 44(2), pages 195-222, October.
- Jordi Galí & Mark Gertler, 1998. "Inflation dynamics: A structural econometric analysis," Economics Working Papers 341, Department of Economics and Business, Universitat Pompeu Fabra.
- Jordi Gali & Mark Gertler, 2000. "Inflation Dynamics: A Structural Econometric Analysis," NBER Working Papers 7551, National Bureau of Economic Research, Inc.
- Andrew Atkeson & Lee E. Ohanian, 2001. "Are Phillips curves useful for forecasting inflation?," Quarterly Review, Federal Reserve Bank of Minneapolis, vol. 25(Win), pages 2-11.
- Breid, F. Jay & Davis, Richard A. & Lh, Keh-Shin & Rosenblatt, Murray, 1991. "Maximum likelihood estimation for noncausal autoregressive processes," Journal of Multivariate Analysis, Elsevier, vol. 36(2), pages 175-198, February.
Citations
Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
Cited by:
- Markku Lanne & Jani Luoto, 2017. "A New Time‐Varying Parameter Autoregressive Model for U.S. Inflation Expectations," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 49(5), pages 969-995, August.
- Henri Nyberg & Markku Lanne & Erkka Saarinen, 2012. "Does noncausality help in forecasting economic time series?," Economics Bulletin, AccessEcon, vol. 32(4), pages 2849-2859.
- Pentti Saikkonen & Rickard Sandberg, 2016.
"Testing for a Unit Root in Noncausal Autoregressive Models,"
Journal of Time Series Analysis, Wiley Blackwell, vol. 37(1), pages 99-125, January.
- Saikkonen, Pentti & Sandberg, Rickard, 2013. "Testing for a unit root in noncausal autoregressive models," Bank of Finland Research Discussion Papers 26/2013, Bank of Finland.
- repec:zbw:bofrdp:2013_026 is not listed on IDEAS
- Frédérique Bec & Heino Bohn Nielsen & Sarra Saïdi, 2020.
"Mixed Causal–Noncausal Autoregressions: Bimodality Issues in Estimation and Unit Root Testing,"
Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 82(6), pages 1413-1428, December.
- Frédérique BEC & Heino BOHN NIELSEN & Sarra SAÏDI, 2019. "Mixed Causal-Noncausal Autoregressions: Bimodality Issues in Estimation and Unit Root Testing," Working Papers 2019-09, Center for Research in Economics and Statistics.
- Frédérique Bec & Heino Bohn Nielsen & Sarra Saïdi, 2019. "Mixed Causal-Noncausal Autoregressions: Bimodality Issues in Estimation and Unit Root Testing [Modèles auto-régressifs non-causaux mixtes: Problèmes de bimodalité pour l'estimation et le test de r," Working Papers hal-02175760, HAL.
- Frédérique Bec & Heino Bohn Nielsen & Sarra Saïdi, 2019. "Mixed Causal-Noncausal Autoregressions: Bimodality Issues in Estimation and Unit Root Testing," THEMA Working Papers 2019-07, THEMA (THéorie Economique, Modélisation et Applications), Université de Cergy-Pontoise.
- Chan, Joshua C.C. & Grant, Angelia L., 2015.
"Pitfalls of estimating the marginal likelihood using the modified harmonic mean,"
Economics Letters, Elsevier, vol. 131(C), pages 29-33.
- Joshua C.C. Chan & Angelia L. Grant, 2015. "Pitfalls of Estimating the Marginal Likelihood Using the Modified Harmonic Mean," CAMA Working Papers 2015-08, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
- Markku Lanne & Jani Luoto, 2016.
"Noncausal Bayesian Vector Autoregression,"
Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 31(7), pages 1392-1406, November.
- Markku Lanne & Jani Luoto, 2014. "Noncausal Bayesian Vector Autoregression," CREATES Research Papers 2014-07, Department of Economics and Business Economics, Aarhus University.
- Christian Gourieroux & Joann Jasiak, 2016. "Filtering, Prediction and Simulation Methods for Noncausal Processes," Journal of Time Series Analysis, Wiley Blackwell, vol. 37(3), pages 405-430, May.
- Lof Matthijs, 2013.
"Noncausality and asset pricing,"
Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 17(2), pages 211-220, April.
- Lof, Matthijs, 2011. "Noncausality and Asset Pricing," MPRA Paper 30519, University Library of Munich, Germany.
- Lanne, Markku & Luoto, Jani, 2012.
"Has US inflation really become harder to forecast?,"
Economics Letters, Elsevier, vol. 115(3), pages 383-386.
- Lanne, Markku & Luoto, Jani, 2010. "Has U.S. Inflation Really Become Harder to Forecast?," MPRA Paper 29992, University Library of Munich, Germany.
- Nyberg, Henri & Saikkonen, Pentti, 2014.
"Forecasting with a noncausal VAR model,"
Computational Statistics & Data Analysis, Elsevier, vol. 76(C), pages 536-555.
- Nyberg, Henri & Saikkonen, Pentti, 2012. "Forecasting with a noncausal VAR model," Bank of Finland Research Discussion Papers 33/2012, Bank of Finland.
- Frédérique Bec & Alain Guay & Heino Bohn Nielsen & Sarra Saïdi, 2022. "Power of unit root tests against nonlinear and noncausal alternatives," THEMA Working Papers 2022-14, THEMA (THéorie Economique, Modélisation et Applications), Université de Cergy-Pontoise.
- Pentti Saikkonen & Rickard Sandberg, 2016.
"Testing for a Unit Root in Noncausal Autoregressive Models,"
Journal of Time Series Analysis, Wiley Blackwell, vol. 37(1), pages 99-125, January.
- Saikkonen, Pentti & Sandberg, Rickard, 2013. "Testing for a unit root in noncausal autoregressive models," Research Discussion Papers 26/2013, Bank of Finland.
- Lanne Markku, 2015.
"Noncausality and inflation persistence,"
Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 19(4), pages 469-481, September.
- Markku Lanne, 2013. "Noncausality and Inflation Persistence," Discussion Papers of DIW Berlin 1286, DIW Berlin, German Institute for Economic Research.
- Christian Gourieroux & Andrew Hencic & Joann Jasiak, 2021. "Forecast performance and bubble analysis in noncausal MAR(1, 1) processes," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 40(2), pages 301-326, March.
- Lanne, Markku & Luoto, Jani, 2013.
"Autoregression-based estimation of the new Keynesian Phillips curve,"
Journal of Economic Dynamics and Control, Elsevier, vol. 37(3), pages 561-570.
- Lanne, Markku & Luoto, Jani, 2011. "Autoregression-Based Estimation of the New Keynesian Phillips Curve," MPRA Paper 29801, University Library of Munich, Germany.
- Christian Gourieroux & Joann Jasiak & Michelle Tong, 2021. "Convolution‐based filtering and forecasting: An application to WTI crude oil prices," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 40(7), pages 1230-1244, November.
- Jean-Baptiste MICHAU, 2019. "Helicopter Drops of Money under Secular Stagnation," Working Papers 2019-10, Center for Research in Economics and Statistics.
- Lof, Matthijs, 2013. "Essays on Expectations and the Econometrics of Asset Pricing," MPRA Paper 59064, University Library of Munich, Germany.
- Lanne, Markku & Nyberg, Henri & Saarinen, Erkka, 2011. "Forecasting U.S. Macroeconomic and Financial Time Series with Noncausal and Causal AR Models: A Comparison," MPRA Paper 30254, University Library of Munich, Germany.
Most related items
These are the items that most often cite the same works as this one and are cited by the same works as this one.- McKnight, Stephen & Mihailov, Alexander & Rumler, Fabio, 2020.
"Inflation forecasting using the New Keynesian Phillips Curve with a time-varying trend,"
Economic Modelling, Elsevier, vol. 87(C), pages 383-393.
- Stephen McKnight & Alexander Mihailov & Kerry Patterson & Fabio Rumler, 2014. "The Predictive Performance of Fundamental Inflation Concepts: An Application to the Euro Area and the United States," Economics Discussion Papers em-dp2014-03, Department of Economics, University of Reading.
- Stephen McKnight & Alexander Mihailov & Fabio Rumler, 2018. "NKPC-Based Inflation Forecasts with a Time-Varying Trend," Serie documentos de trabajo del Centro de Estudios Económicos 2018-05, El Colegio de México, Centro de Estudios Económicos.
- Del Negro, Marco & Schorfheide, Frank, 2008.
"Forming priors for DSGE models (and how it affects the assessment of nominal rigidities),"
Journal of Monetary Economics, Elsevier, vol. 55(7), pages 1191-1208, October.
- Marco Del Negro & Frank Schorfheide, 2006. "Forming priors for DSGE models (and how it affects the assessment of nominal rigidities)," FRB Atlanta Working Paper 2006-16, Federal Reserve Bank of Atlanta.
- Marco Del Negro & Frank Schorfheide, 2008. "Forming priors for DSGE models (and how it affects the assessment of nominal rigidities)," Staff Reports 320, Federal Reserve Bank of New York.
- Marco Del Negro & Frank Schorfheide, 2008. "Forming Priors for DSGE Models (and How it Affects the Assessment of Nominal Rigidities)," NBER Working Papers 13741, National Bureau of Economic Research, Inc.
- Frank Schorfheide & Marco Del Negro, 2007. "Forming Priors for DSGE Models (and How It Affects the Assessment of Nominal Rigidities)," 2007 Meeting Papers 283, Society for Economic Dynamics.
- Del Negro, Marco & Schorfheide, Frank, 2007. "Forming Priors for DSGE Models (and How It Affects the Assessment of Nominal Rigidities)," CEPR Discussion Papers 6119, C.E.P.R. Discussion Papers.
- Lanne, Markku & Luoma, Arto & Luoto, Jani, 2009.
"A naïve sticky information model of households' inflation expectations,"
Journal of Economic Dynamics and Control, Elsevier, vol. 33(6), pages 1332-1344, June.
- Lanne, Markku & Luoma, Arto & Luoto, Jani, 2008. "A Naïve Sticky Information Model of Households’ Inflation Expectations," MPRA Paper 8663, University Library of Munich, Germany.
- Taylor, J.B., 2016.
"The Staying Power of Staggered Wage and Price Setting Models in Macroeconomics,"
Handbook of Macroeconomics, in: J. B. Taylor & Harald Uhlig (ed.), Handbook of Macroeconomics, edition 1, volume 2, chapter 0, pages 2009-2042,
Elsevier.
- John B. Taylor, 2016. "The Staying Power of Staggered Wage and Price Setting Models in Macroeconomics," NBER Working Papers 22356, National Bureau of Economic Research, Inc.
- 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.
- Sophocles Mavroeidis & Mikkel Plagborg-Møller & James H. Stock, "undated". "Empirical Evidence on Inflation Expectations in the New Keynesian Phillips Curve," Working Paper 84656, Harvard University OpenScholar.
- Mavroeidis, Sophocles & Plagborg-Moller, Mikkel & Stock, James H., 2014. "Empirical Evidence on Inflation Expectations in the New Keynesian Phillips Curve," Scholarly Articles 22795845, Harvard University Department of Economics.
- Yasufumi Gemma & Takushi Kurozumi & Mototsugu Shintani, 2023.
"Trend Inflation and Evolving Inflation Dynamics:A Bayesian GMM Analysis,"
Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 51, pages 506-520, December.
- 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.
- Yasufumi Gemma & Takushi Kurozumi & Mototsugu Shintani, 2023. "Code and data files for "Trend Inflation and Evolving Inflation Dynamics:A Bayesian GMM Analysis"," Computer Codes 22-126, Review of Economic Dynamics.
- Warne, Anders & Coenen, Günter & Christoffel, Kai, 2010. "Forecasting with DSGE models," Working Paper Series 1185, European Central Bank.
- Carlos Medel, 2017.
"Forecasting Chilean inflation with the hybrid new keynesian Phillips curve: globalisation, combination, and accuracy,"
Journal Economía Chilena (The Chilean Economy), Central Bank of Chile, vol. 20(3), pages 004-050, December.
- Carlos Medel, 2016. "Forecasting Chilean Inflation with the Hybrid New Keynesian Phillips Curve: Globalisation, Combination, and Accuracy," Working Papers Central Bank of Chile 791, Central Bank of Chile.
- 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.
- Kevin Lansing, 2009.
"Time Varying U.S. Inflation Dynamics and the New Keynesian Phillips Curve,"
Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 12(2), pages 304-326, April.
- Kevin J. Lansing, 2006. "Time-varying U.S. inflation dynamics and the New-Keynesian Phillips curve," Working Paper Series 2006-15, Federal Reserve Bank of San Francisco.
- Kevin J. Lansing, 2006. "Time-Varying U.S. Inflation Dynamics and the New Keynesian Phillips Curve," Computing in Economics and Finance 2006 488, Society for Computational Economics.
- Kevin J. Lansing, 2006. "Time-Varying U.S. Inflation Dynamics and the New Keynesian Phillips Curve," 2006 Meeting Papers 758, Society for Economic Dynamics.
- Adriana Cornea‐Madeira & João Madeira, 2022. "Econometric Analysis of Switching Expectations in UK Inflation," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 84(3), pages 651-673, June.
- Andrea Carriero & Francesco Corsello & Massimiliano Marcellino, 2022.
"The global component of inflation volatility,"
Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 37(4), pages 700-721, June.
- Andrea Carriero & Francesco Corsello & Massimiliano Marcellino, 2018. "The global component of inflation volatility," Temi di discussione (Economic working papers) 1170, Bank of Italy, Economic Research and International Relations Area.
- Marcellino, Massimiliano & Carriero, Andrea & Corsello, Francesco, 2019. "The Global Component of Inflation Volatility," CEPR Discussion Papers 13470, C.E.P.R. Discussion Papers.
- Drissi, Ramzi & Ghassan, Hassan B., 2018.
"Sticky Price versus Sticky Information Price: Empirical Evidence in the New Keynesian Setting,"
MPRA Paper
93075, University Library of Munich, Germany, revised Apr 2019.
- Drissi, Ramzi & Ghassan, Hassan Belkacem, 2018. "Sticky Price versus Sticky Information Price: Empirical Evidence in the New Keynesian Setting," MPRA Paper 95174, University Library of Munich, Germany, revised Apr 2019.
- Marc P. Giannoni & Jean Boivin, 2005.
"DSGE Models in a Data-Rich Environment,"
Computing in Economics and Finance 2005
431, Society for Computational Economics.
- Boivin, J. & Giannoni, M., 2007. "DSGE Models in a Data-Rich Environment," Working papers 162, Banque de France.
- Jean Boivin & Marc Giannoni, 2006. "DSGE Models in a Data-Rich Environment," NBER Technical Working Papers 0332, National Bureau of Economic Research, Inc.
- Jean Boivin & Marc Giannoni, 2006. "DSGE Models in a Data-Rich Environment," NBER Working Papers 12772, National Bureau of Economic Research, Inc.
- Carlos A. Medel, 2018.
"Forecasting Inflation with the Hybrid New Keynesian Phillips Curve: A Compact-Scale Global VAR Approach,"
International Economic Journal, Taylor & Francis Journals, vol. 32(3), pages 331-371, July.
- Medel, Carlos A., 2015. "Forecasting Inflation with the Hybrid New Keynesian Phillips Curve: A Compact-Scale Global VAR Approach," MPRA Paper 67081, University Library of Munich, Germany.
- Carlos Medel, 2016. "Forecasting Inflation with the Hybrid New Keynesian Phillips Curve: A Compact-Scale Global VAR Approach," Working Papers Central Bank of Chile 785, Central Bank of Chile.
- Marco Di Pietro & Enrico Saltari, 2018. "Economic Fluctuations in the U.S. and Euro Area: Quantifying the Contribution of Technical Change," Southern Economic Journal, John Wiley & Sons, vol. 85(1), pages 203-216, July.
- Kim, Insu, 2009.
"Dual Wage Rigidities: Theory and Some Evidence,"
MPRA Paper
21494, University Library of Munich, Germany, revised Mar 2010.
- Kim, Insu, 2009. "Dual Wage Rigidities: Theory and Some Evidence," MPRA Paper 18345, University Library of Munich, Germany.
- Guerron-Quintana, Pablo A., 2011.
"The implications of inflation in an estimated new Keynesian model,"
Journal of Economic Dynamics and Control, Elsevier, vol. 35(6), pages 947-962, June.
- Pablo Guerrón-Quintana, 2010. "The implications of inflation in an estimated New-Keynesian model," Working Papers 10-2, Federal Reserve Bank of Philadelphia.
- Chengsi Zhang & Denise R. Osborn & Dong Heon Kim, 2008.
"The New Keynesian Phillips Curve: From Sticky Inflation to Sticky Prices,"
Journal of Money, Credit and Banking, Blackwell Publishing, vol. 40(4), pages 667-699, June.
- Chengsi Zhang & Denise R. Osborn & Dong Heon Kim, 2008. "The New Keynesian Phillips Curve: From Sticky Inflation to Sticky Prices," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 40(4), pages 667-699, June.
- Chengsi Zhang & Denise R. Osborn & Dong Heon Kim, 2006. "The New Keynesian Phillips Curve: from Sticky Inflation to Sticky Prices," Centre for Growth and Business Cycle Research Discussion Paper Series 78, Economics, The University of Manchester.
- Chengsi Zhang & Denise R. Osborn & Dong Heon Kim, 2007. "The New Keynesian Phillips Curve: From Sticky Inflation to Sticky Prices," Discussion Paper Series 0715, Institute of Economic Research, Korea University.
- Chengsi Zhang & Denise R. Osborn & Dong Heon Kim, 2006. "The New Keynesian Phillips Curve: from Sticky Inflation to Sticky Prices," Economics Discussion Paper Series 0631, Economics, The University of Manchester.
- Panovska, Irina & Ramamurthy, Srikanth, 2022. "Decomposing the output gap with inflation learning," Journal of Economic Dynamics and Control, Elsevier, vol. 136(C).
- Welz, Peter, 2006. "Assessing predetermined expectations in the standard sticky-price model: a Bayesian approach," Working Paper Series 621, European Central Bank.
More about this item
Keywords
Noncausality; Autoregression; Bayesian model selection; Forecasting;All these keywords.
JEL classification:
- C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation, Validation, and Selection
- E31 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Price Level; Inflation; Deflation
- C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
- C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Bayesian Analysis: General
NEP fields
This paper has been announced in the following NEP Reports:- NEP-CBA-2010-07-17 (Central Banking)
- NEP-ECM-2010-07-17 (Econometrics)
- NEP-ETS-2010-07-17 (Econometric Time Series)
- NEP-FOR-2010-07-17 (Forecasting)
- NEP-ORE-2010-07-17 (Operations Research)
Statistics
Access and download statisticsCorrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:pra:mprapa:23646. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Joachim Winter (email available below). General contact details of provider: https://edirc.repec.org/data/vfmunde.html .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.