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Estimation in the Presence of Stochastic Parameter Variation

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Cited by:

  1. Delle Monache, Davide & Petrella, Ivan, 2017. "Adaptive models and heavy tails with an application to inflation forecasting," International Journal of Forecasting, Elsevier, vol. 33(2), pages 482-501.
  2. Kim, Man-Keun & Lee, Andrew C., 2005. "Time Varying Coefficient: An Application of Flexible Least Squares to Cattle Captive Supply," 2005 Annual meeting, July 24-27, Providence, RI 19124, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
  3. Aurélien Goutsmedt & Erich Pinzon-Fuchs & Matthieu Renault & Francesco Sergi, 2017. "Reacting to the Lucas Critique: The Keynesians' Pragmatic Replies," Documents de travail du Centre d'Economie de la Sorbonne 17042, Université Panthéon-Sorbonne (Paris 1), Centre d'Economie de la Sorbonne.
  4. Sudhanshu Kumar & Naveen Srinivasan & Muthiah Ramachandran, 2012. "A time‐varying parameter model of inflation in India," Indian Growth and Development Review, Emerald Group Publishing Limited, vol. 5(1), pages 25-50, April.
  5. Esteban González, María Victoria & Orbe Mandaluniz, Susan, 2006. "Nonparametric estimation betas in the Market Model," BILTOKI 1134-8984, Universidad del País Vasco - Departamento de Economía Aplicada III (Econometría y Estadística).
  6. Geweke, John & Jiang, Yu, 2011. "Inference and prediction in a multiple-structural-break model," Journal of Econometrics, Elsevier, vol. 163(2), pages 172-185, August.
  7. Olawale Awe O. & Adedayo Adepoju A., 2018. "Modified Recursive Bayesian Algorithm For Estimating Time-Varying Parameters In Dynamic Linear Models," Statistics in Transition New Series, Statistics Poland, vol. 19(2), pages 258-293, June.
  8. Marfatia, Hardik A., 2015. "Monetary policy's time-varying impact on the US bond markets: Role of financial stress and risks," The North American Journal of Economics and Finance, Elsevier, vol. 34(C), pages 103-123.
  9. Gary Koop & Dimitris Korobilis, 2023. "Bayesian Dynamic Variable Selection In High Dimensions," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 64(3), pages 1047-1074, August.
  10. Yan-Yong Zhao & Jin-Guan Lin & Hong-Xia Wang & Xing-Fang Huang, 2017. "Jump-detection-based estimation in time-varying coefficient models and empirical applications," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 26(3), pages 574-599, September.
  11. Matthieu Lemoine, 2006. "Annex A5 : A model of the stochastic convergence between euro area business cycles," SciencePo Working papers Main hal-00972793, HAL.
  12. Korobilis, Dimitris & Koop, Gary, 2018. "Variational Bayes inference in high-dimensional time-varying parameter models," Essex Finance Centre Working Papers 22665, University of Essex, Essex Business School.
  13. Donald T. Sant, 1977. "Generalized Least Squares Applied to Time Varying Parameter Models," NBER Chapters, in: Annals of Economic and Social Measurement, Volume 6, number 3, pages 301-314, National Bureau of Economic Research, Inc.
  14. Evans, George W & Ramey, Garey, 2001. "Adaptive Expectations, Underparameterization and the Lucas Critique," University of California at San Diego, Economics Working Paper Series qt41f2h196, Department of Economics, UC San Diego.
  15. Jean-Louis Combes & Rasmané Ouedraogo, 2014. "Does Pro-cyclical Aid Lead to Pro-cyclical Fiscal Policy? An Empirical Analysis for Sub-Saharan Africa," CERDI Working papers halshs-01084600, HAL.
  16. Costas Anyfantakis & Guglielmo Maria Caporale & Nikitas Pittis, 2008. "Parameter instability and forecasting performance: a Monte Carlo study," International Journal of Business Forecasting and Marketing Intelligence, Inderscience Enterprises Ltd, vol. 1(1), pages 1-20.
  17. Terui, Nobuhiko & van Dijk, Herman K., 2002. "Combined forecasts from linear and nonlinear time series models," International Journal of Forecasting, Elsevier, vol. 18(3), pages 421-438.
  18. Bakhodir A Ergashev, 2004. "Sequential Detection of US Business Cycle Turning Points: Performances of Shiryayev-Roberts, CUSUM and EWMA Procedures," Econometrics 0402001, University Library of Munich, Germany, revised 16 Mar 2004.
  19. Lassaâd Mbarek & Hardik A. Marfatia & Sonja Juko, 2018. "Time-varying Response of Treasury Yields to Monetary Policy Shocks: Evidence from the Tunisian Bond Market," Working Papers 1243, Economic Research Forum, revised 23 Oct 2018.
  20. Mandler, Martin, 2007. "Decomposing Federal Funds Rate forecast uncertainty using real-time data," MPRA Paper 13498, University Library of Munich, Germany, revised Jan 2009.
  21. Alessia Paccagnini, 2012. "Comparing Hybrid DSGE Models," Working Papers 228, University of Milano-Bicocca, Department of Economics, revised Dec 2012.
  22. Tran Van Hoa, 1978. "Structural Changes in Australian Manufacturing Industry," The Economic Record, The Economic Society of Australia, vol. 54(3), pages 314-320, December.
  23. Kahl, Douglas R. & Stevens, Jerry L., 2009. "Ex ante performance from ex post models of global equity market correlations," Global Finance Journal, Elsevier, vol. 20(3), pages 248-259.
  24. Arrau, Patricio & De Gregorio, Jose & Reinhart, Carmen M. & Wickham, Peter, 1995. "The demand for money in developing countries: Assessing the role of financial innovation," Journal of Development Economics, Elsevier, vol. 46(2), pages 317-340, April.
  25. Jesús Fernández-Villaverde & Juan F. Rubio-Ramírez, 2008. "How Structural Are Structural Parameters?," NBER Chapters, in: NBER Macroeconomics Annual 2007, Volume 22, pages 83-137, National Bureau of Economic Research, Inc.
  26. Easterly, William R & Mauro, Paolo & Schmidt-Hebbel, Klaus, 1995. "Money Demand and Seigniorage-Maximizing Inflation," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 27(2), pages 583-603, May.
  27. Marfatia, Hardik A. & Gupta, Rangan & Cakan, Esin, 2017. "The international REIT’s time-varying response to the U.S. monetary policy and macroeconomic surprises," The North American Journal of Economics and Finance, Elsevier, vol. 42(C), pages 640-653.
  28. Claveria, Oscar & Pons, Ernest & Ramos, Raul, 2007. "Business and consumer expectations and macroeconomic forecasts," International Journal of Forecasting, Elsevier, vol. 23(1), pages 47-69.
  29. Korobilis, D, 2017. "Forecasting with many predictors using message passing algorithms," Essex Finance Centre Working Papers 19565, University of Essex, Essex Business School.
  30. Davide Delle Monache & Ivan Petrella, 2014. "Adaptive Models and Heavy Tails," Birkbeck Working Papers in Economics and Finance 1409, Birkbeck, Department of Economics, Mathematics & Statistics.
  31. Mikio Ito & Akihiko Noda & Tatsuma Wada, 2022. "An Alternative Estimation Method for Time-Varying Parameter Models," Econometrics, MDPI, vol. 10(2), pages 1-27, April.
  32. Mandler, Martin, 2007. "The Taylor rule and interest rate uncertainty in the U.S. 1955-2006," MPRA Paper 2340, University Library of Munich, Germany.
  33. Boivin, Jean, 2006. "Has U.S. Monetary Policy Changed? Evidence from Drifting Coefficients and Real-Time Data," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 38(5), pages 1149-1173, August.
  34. Hardik A. Marfatia & Rangan Gupta & Stephen M. Miller, 2019. "125 Years of Time-Varying Effects of Fiscal Policy on Financial Markets," Working Papers 201956, University of Pretoria, Department of Economics.
  35. Ang, Andrew & Chen, Joseph, 2007. "CAPM over the long run: 1926-2001," Journal of Empirical Finance, Elsevier, vol. 14(1), pages 1-40, January.
  36. Marfatia, Hardik A. & Gupta, Rangan & Cakan, Esin, 2021. "Dynamic impact of the U.S. monetary policy on oil market returns and volatility," The Quarterly Review of Economics and Finance, Elsevier, vol. 80(C), pages 159-169.
  37. O. Olawale Awe & A. Adedayo Adepoju, 2018. "Modified Recursive Bayesian Algorithm For Estimating Time-Varying Parameters In Dynamic Linear Models," Statistics in Transition New Series, Polish Statistical Association, vol. 19(2), pages 239-258, June.
  38. Aurélien Goutsmedt & Erich Pinzon-Fuchs & Matthieu Renault & Francesco Sergi, 2015. "Criticizing the Lucas Critique: Macroeconometricians' Response to Robert Lucas," Post-Print halshs-01179114, HAL.
  39. Orbe, Susan & Ferreira, Eva & Rodriguez-Poo, Juan, 2005. "Nonparametric estimation of time varying parameters under shape restrictions," Journal of Econometrics, Elsevier, vol. 126(1), pages 53-77, May.
  40. Evans, George W. & Ramey, Garey, 2006. "Adaptive expectations, underparameterization and the Lucas critique," Journal of Monetary Economics, Elsevier, vol. 53(2), pages 249-264, March.
  41. G. S. Laumas, 1983. "The Demand for Money in the Recent Period," Eastern Economic Journal, Eastern Economic Association, vol. 9(1), pages 1-5, Jan-Mar.
  42. repec:amu:wpaper:2013-04 is not listed on IDEAS
  43. Timothy Neal, 2016. "Multidimensional Parameter Heterogeneity in Panel Data Models," Discussion Papers 2016-15, School of Economics, The University of New South Wales.
  44. Cheng Hsiao & M. Hashem Pesaran, 2004. "Random Coefficient Panel Data Models," CESifo Working Paper Series 1233, CESifo.
  45. Dimitris Korobilis, 2021. "High-Dimensional Macroeconomic Forecasting Using Message Passing Algorithms," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 39(2), pages 493-504, March.
  46. Zhiqiang (Eric) Zheng & Paul A. Pavlou & Bin Gu, 2014. "Latent Growth Modeling for Information Systems: Theoretical Extensions and Practical Applications," Information Systems Research, INFORMS, vol. 25(3), pages 547-568, September.
  47. Min, Chung-ki, 1998. "A Gibbs sampling approach to estimation and prediction of time-varying-parameter models," Computational Statistics & Data Analysis, Elsevier, vol. 27(2), pages 171-194, April.
  48. Feldstein, Martin & Stock, James H., 1996. "Measuring money growth when financial markets are changing," Journal of Monetary Economics, Elsevier, vol. 37(1), pages 3-27, February.
  49. Li, Gang & Song, Haiyan & Witt, Stephen F., 2006. "Time varying parameter and fixed parameter linear AIDS: An application to tourism demand forecasting," International Journal of Forecasting, Elsevier, vol. 22(1), pages 57-71.
  50. Douglas O. Staiger & James H. Stock & Mark W. Watson, 1997. "How Precise Are Estimates of the Natural Rate of Unemployment?," NBER Chapters, in: Reducing Inflation: Motivation and Strategy, pages 195-246, National Bureau of Economic Research, Inc.
  51. 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(2‐3), pages 341-365, March.
  52. Burak Alparslan Eroğlu & J. Isaac Miller & Taner Yiğit, 2022. "Time-varying cointegration and the Kalman filter," Econometric Reviews, Taylor & Francis Journals, vol. 41(1), pages 1-21, January.
  53. Pesaran, M. Hashem & Timmermann, Allan, 2002. "Market timing and return prediction under model instability," Journal of Empirical Finance, Elsevier, vol. 9(5), pages 495-510, December.
  54. N. Groenewold & P. Fraser, 1999. "Forecasting Beta: How well does the 'five year rule of thumb' do?," Economics Discussion / Working Papers 99-01, The University of Western Australia, Department of Economics.
  55. Hardik A. Marfatia & Rangan Gupta & Keagile Lesame, 2021. "Dynamic Impact of Unconventional Monetary Policy on International REITs," JRFM, MDPI, vol. 14(9), pages 1-19, September.
  56. Alexander H. Sarris, 1974. "A General Algorithm for Simultaneous Estimation of Constant and Randomly-Varying Parameters in Lineal Relations," NBER Working Papers 0038, National Bureau of Economic Research, Inc.
  57. Al-Shboul, Mohammad & Anwar, Sajid, 2014. "Time-varying exchange rate exposure and exchange rate risk pricing in the Canadian Equity Market," Economic Modelling, Elsevier, vol. 37(C), pages 451-463.
  58. Kishor, N. Kundan & Marfatia, Hardik A., 2013. "The time-varying response of foreign stock markets to U.S. monetary policy surprises: Evidence from the Federal funds futures market," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 24(C), pages 1-24.
  59. Koop, Gary & Potter, Simon M., 2011. "Time varying VARs with inequality restrictions," Journal of Economic Dynamics and Control, Elsevier, vol. 35(7), pages 1126-1138, July.
  60. Oscar Claveria & Enric Monte & Salvador Torra, 2017. "A new approach for the quantification of qualitative measures of economic expectations," Quality & Quantity: International Journal of Methodology, Springer, vol. 51(6), pages 2685-2706, November.
  61. Rodrigo De-Losso, 2012. "Questioning The Taylor Rule," Working Papers, Department of Economics 2012_22, University of São Paulo (FEA-USP).
  62. Bellock, Richard & Kutteroff, Lora, 1983. "The Use of Population analysis to forecast U.S. automobile acquisitions," Transportation Research Forum Proceedings 1980s 311594, Transportation Research Forum.
  63. Verónica Mies M. & Raimundo Soto M., 2000. "Money Demand: Theory, Evidence, Results," Journal Economía Chilena (The Chilean Economy), Central Bank of Chile, vol. 3(3), pages 5-32, December.
  64. Boyd, Roy & Caporale, Tony, 1997. "Is there a liquidity effect? An investigation using the Kalman filter," Journal of Policy Modeling, Elsevier, vol. 19(6), pages 627-634, December.
  65. Michela Nardo, 2003. "The Quantification of Qualitative Survey Data: A Critical Assessment," Journal of Economic Surveys, Wiley Blackwell, vol. 17(5), pages 645-668, December.
  66. Davide Delle Monache & Ivan Petrella, 2014. "Adaptive Models and Heavy Tails," Working Papers 720, Queen Mary University of London, School of Economics and Finance.
  67. Pooyan Amir-Ahmadi & Christian Matthes & Mu-Chun Wang, 2016. "Choosing Prior Hyperparameters," Working Paper 16-9, Federal Reserve Bank of Richmond.
  68. Montezuma Dumangane & Nicoletta Rosati & Anna Volossovitch, 2009. "Departure from independence and stationarity in a handball match," Journal of Applied Statistics, Taylor & Francis Journals, vol. 36(7), pages 723-741.
  69. Korobilis, Dimitris, 2018. "Machine Learning Macroeconometrics A Primer," Essex Finance Centre Working Papers 22666, University of Essex, Essex Business School.
  70. Tucci, Marco P., 1995. "Time-varying parameters: a critical introduction," Structural Change and Economic Dynamics, Elsevier, vol. 6(2), pages 237-260, June.
  71. Timothy Cogley, 2005. "Changing Beliefs and the Term Structure of Interest Rates: Cross-Equation Restrictions with Drifting Parameters," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 8(2), pages 420-451, April.
  72. Edilean Silva Bejarano Aragón & Gabriela Medeiros, 2015. "Monetary policy in Brazil: evidence of a reaction function with time-varying parameters and endogenous regressors," Empirical Economics, Springer, vol. 48(2), pages 557-575, March.
  73. Silvia Ferrini & Marco P. Tucci, 2011. "Evaluating Research Activity:Impact Factor vs. Research Factor," Department of Economics University of Siena 614, Department of Economics, University of Siena.
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  75. Ward, Ronald W. & Tilley, Daniel S., 1980. "Time Varying Parameters With Random Components: The Orange Juice Industry," Southern Journal of Agricultural Economics, Southern Agricultural Economics Association, vol. 12(2), pages 1-9, December.
  76. Naveen Srinivasan & M. Ramachandran & Sudhanshu Kumar, 2010. "Monetary Policy in a Low Inflation Environment: Is There Evidence for Opportunistic Behaviour?," Journal of Quantitative Economics, The Indian Econometric Society, vol. 8(2), pages 4-19.
  77. Stock, James H & Watson, Mark W, 1996. "Evidence on Structural Instability in Macroeconomic Time Series Relations," Journal of Business & Economic Statistics, American Statistical Association, vol. 14(1), pages 11-30, January.
  78. James H. Stock & Mark W. Watson, 1996. "Asymptotically Median Unbiased Estimation of Coefficient Variance in a Time Varying Parameter Model," NBER Technical Working Papers 0201, National Bureau of Economic Research, Inc.
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  80. Othman, Jamal B. & McIntosh, Christopher S. & Houston, Jack B., 1994. "Price Competition And Informational Product Differentiation Effectiveness: The Case Of Edible Vegetable Oils In The U.S," 1994 Annual Meeting, August 7-10, San Diego, California 271417, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
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  86. Mikio Ito & Akihiko Noda & Tatsuma Wada, 2017. "An Alternative Estimation Method of a Time-Varying Parameter Model," Papers 1707.06837, arXiv.org, revised Dec 2017.
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  93. Matthieu Lemoine, 2005. "A model of the stochastic convergence between business cycles," Documents de Travail de l'OFCE 2005-05, Observatoire Francais des Conjonctures Economiques (OFCE).
  94. Jan Marc Berk, 1999. "Measuring inflation expectations: a survey data approach," Applied Economics, Taylor & Francis Journals, vol. 31(11), pages 1467-1480.
  95. Shui Ki Wan & Cheng Hsiao & Qiankun Zhou, 2021. "Can a time-varying structure provide a more robust panel construction of counterfactuals-straitjacket or straitjackets?," Empirical Economics, Springer, vol. 60(1), pages 113-129, January.
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  98. Marfatia, Hardik A. & Gupta, Rangan & Miller, Stephen, 2020. "125 ​Years of time-varying effects of fiscal policy on financial markets," International Review of Economics & Finance, Elsevier, vol. 70(C), pages 303-320.
  99. Hadjiantoni, Stella & Kontoghiorghes, Erricos John, 2022. "An alternative numerical method for estimating large-scale time-varying parameter seemingly unrelated regressions models," Econometrics and Statistics, Elsevier, vol. 21(C), pages 1-18.
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