A Bayesian approach to model selection in stochastic coefficient regression models and structural time series models
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Cited by:
- 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.
- Gary Koop & Dimitris Korobilis, 2018. "Bayesian dynamic variable selection in high dimensions," Papers 1809.03031, arXiv.org, revised May 2020.
- Korobilis, Dimitris & Koop, Gary, 2020. "Bayesian dynamic variable selection in high dimensions," MPRA Paper 100164, University Library of Munich, Germany.
- Gary Koop & Dimitris Korobilis, 2020. "Bayesian dynamic variable selection in high dimensions," Working Papers 2020_11, Business School - Economics, University of Glasgow.
- Koop, Gary & Dijk, Herman K. Van, 2000.
"Testing for integration using evolving trend and seasonals models: A Bayesian approach,"
Journal of Econometrics, Elsevier, vol. 97(2), pages 261-291, August.
- Gary Koop & Herman K. van Dijk & Henk Hoek, 1997. "Testing for Integration using Evolving Trend and Seasonals Models: A Bayesian Approach," Tinbergen Institute Discussion Papers 97-078/4, Tinbergen Institute.
- Koop, G. & van Dijk, H.K., 1999. "Testing for integration using evolving trend and seasonal models: A Bayesian approach," Econometric Institute Research Papers EI 9934/A, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
- Gary Koop & Herman K. van Dijk, 1999. "Testing for Integration using Evolving Trend and Seasonals Models: A Bayesian Approach," Tinbergen Institute Discussion Papers 99-072/4, Tinbergen Institute.
- Dimitris Korobilis, 2013.
"Var Forecasting Using Bayesian Variable Selection,"
Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 28(2), pages 204-230, March.
- Korobilis, Dimitris, 2009. "VAR forecasting using Bayesian variable selection," MPRA Paper 21124, University Library of Munich, Germany.
- KOROBILIS, Dimitris, 2011. "VAR forecasting using Bayesian variable selection," LIDAM Discussion Papers CORE 2011022, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
- Dimitris Korobilis, 2010. "VAR Forecasting Using Bayesian Variable Selection," Working Paper series 51_10, Rimini Centre for Economic Analysis, revised Apr 2011.
- Faishal Fadli & Ouyang Hongbing & Yaqing Liu, 2020. "Earmarking Tax for Indonesia's Economic Growth through the Education and Health Sector in the Long and Short Term Period," Business and Economic Research, Macrothink Institute, vol. 10(1), pages 1-39, March.
- Yoshihiko Tsukuda & Tatsuyoshi Miyakoshi & Junji Shimada, 2005. "Dynamic Efficiency in the East European Emerging Markets," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 12(2), pages 159-179, June.
- Miquel Clar-Lopez & Jordi López-Tamayo & Raúl Ramos, 2014. "Unemployment forecasts, time varying coefficient models and the Okun’s law in Spanish regions," Economics and Business Letters, Oviedo University Press, vol. 3(4), pages 247-262.
- Ramos Lobo, R. & Clar López, M. & Suriñach Caralt, J., 2000. "Comparación de la capacidad predictiva de los modelos de coeficientes fijos frente a variables en los modelos econométricos regionales: un análisis para Cataluña," Estudios de Economia Aplicada, Estudios de Economia Aplicada, vol. 15, pages 125-162, Agosto.
- Koop, Gary & Tobias, Justin L., 2006.
"Semiparametric Bayesian inference in smooth coefficient models,"
Journal of Econometrics, Elsevier, vol. 134(1), pages 283-315, September.
- Gary Koop & Justin Tobias, 2003. "Semiparametric Bayesian inference in smooth coefficient models," Discussion Papers in Economics 04/18, Division of Economics, School of Business, University of Leicester.
- Koop, Gary M & Tobias, Justin, 2006. "Semiparametric Bayesian Inference in Smooth Coefficient Models," Staff General Research Papers Archive 12202, Iowa State University, Department of Economics.
- Gao, Jiti, 2007. "Nonlinear time series: semiparametric and nonparametric methods," MPRA Paper 39563, University Library of Munich, Germany, revised 01 Sep 2007.
- Frühwirth-Schnatter, Sylvia & Wagner, Helga, 2010. "Stochastic model specification search for Gaussian and partial non-Gaussian state space models," Journal of Econometrics, Elsevier, vol. 154(1), pages 85-100, January.
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