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Time-varying parameter models with endogenous regressors

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  1. 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.
  2. Mendieta-Muñoz, Ivan, 2015. "Is potential output growth falling?," MPRA Paper 68278, University Library of Munich, Germany.
  3. Haroon Mumtaz & Paolo Surico, 2015. "The Transmission Mechanism In Good And Bad Times," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 56(4), pages 1237-1260, November.
  4. Baxa, Jaromír & Plašil, Miroslav & Vašíček, Bořek, 2015. "Changes in inflation dynamics under inflation targeting? Evidence from Central European countries," Economic Modelling, Elsevier, vol. 44(C), pages 116-130.
  5. Yih Su & Jing-Shiang Hwang, 2009. "A two-phase approach to estimating time-varying parameters in the capital asset pricing model," Journal of Applied Statistics, Taylor & Francis Journals, vol. 36(1), pages 79-89.
  6. Baxa, Jaromír & Horváth, Roman & Vašíček, Bořek, 2014. "How Does Monetary Policy Change? Evidence On Inflation-Targeting Countries," Macroeconomic Dynamics, Cambridge University Press, vol. 18(3), pages 593-630, April.
  7. Mandler, Martin, 2007. "Decomposing Federal Funds Rate forecast uncertainty using real-time data," MPRA Paper 13498, University Library of Munich, Germany, revised Jan 2009.
  8. Kim, Chang-Jin & Nelson, Charles R., 2006. "Estimation of a forward-looking monetary policy rule: A time-varying parameter model using ex post data," Journal of Monetary Economics, Elsevier, vol. 53(8), pages 1949-1966, November.
  9. Kutlu, Levent, 2010. "Battese-coelli estimator with endogenous regressors," Economics Letters, Elsevier, vol. 109(2), pages 79-81, November.
  10. Jesus Felipe & John McCombie & Aashish Mehta & Donna Faye Bajaro, 2021. "Production Function Estimation: Biased Coefficients and Endogenous Regressors, or a Case of Collective Amnesia?," Economics Working Paper Archive wp_994, Levy Economics Institute.
  11. Baxa, Jaromír & Horváth, Roman & Vašíček, Bořek, 2013. "Time-varying monetary-policy rules and financial stress: Does financial instability matter for monetary policy?," Journal of Financial Stability, Elsevier, vol. 9(1), pages 117-138.
  12. Duygun, Meryem & Kutlu, Levent & Sickles, Robin C., 2014. "Measuring Productivity and Efficiency: A Kalman," Working Papers 15-010, Rice University, Department of Economics.
  13. Zhu, Yanli & Chen, Haiqiang, 2017. "The asymmetry of U.S. monetary policy: Evidence from a threshold Taylor rule with time-varying threshold values," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 473(C), pages 522-535.
  14. Jin, Hui & Jorgenson, Dale W., 2010. "Econometric modeling of technical change," Journal of Econometrics, Elsevier, vol. 157(2), pages 205-219, August.
  15. Jaromír Baxa & Roman Horváth & Bořek Vašíček, 2011. "Time Varying Monetary Policy Rules and Financial Stress," Chapters, in: Sylvester Eijffinger & Donato Masciandaro (ed.), Handbook of Central Banking, Financial Regulation and Supervision, chapter 10, Edward Elgar Publishing.
  16. Guhl, Daniel, 2019. "Addressing endogeneity in aggregate logit models with time-varying parameters for optimal retail-pricing," European Journal of Operational Research, Elsevier, vol. 277(2), pages 684-698.
  17. Meryem Duygun & Levent Kutlu & Robin C. Sickles, 2016. "Measuring productivity and efficiency: a Kalman filter approach," Journal of Productivity Analysis, Springer, vol. 46(2), pages 155-167, December.
  18. Ikeda, Taro, 2010. "Time-varying asymmetries in central bank preferences: The case of the ECB," Journal of Macroeconomics, Elsevier, vol. 32(4), pages 1054-1066, December.
  19. Mengheng Li & Irma Hindrayanto, 2018. "Looking for the stars: Estimating the natural rate of interest," Working Paper Series 51, Economics Discipline Group, UTS Business School, University of Technology, Sydney.
  20. Rafael Cavalcanti De Araújo & Cleomar Gomes Da Silva, 2014. "The Neutral Interest Rate And The Stance Of Monetary Policy In Brazil," Anais do XLI Encontro Nacional de Economia [Proceedings of the 41st Brazilian Economics Meeting] 051, ANPEC - Associação Nacional dos Centros de Pós-Graduação em Economia [Brazilian Association of Graduate Programs in Economics].
  21. Suda, Jacek & Zervou, Anastasia S., 2018. "International Great Inflation And Common Monetary Policy," Macroeconomic Dynamics, Cambridge University Press, vol. 22(6), pages 1428-1461, September.
  22. Cho, Sungjun, 2014. "What drives stochastic risk aversion?," International Review of Financial Analysis, Elsevier, vol. 34(C), pages 44-63.
  23. Ángel Estrada, 2009. "The mark-ups in the Spanish economy: international comparison and recent evolution," Working Papers 0905, Banco de España.
  24. Manuel Gonzalez-Astudillo, 2013. "Monetary-fiscal policy interactions: interdependent policy rule coefficients," Finance and Economics Discussion Series 2013-58, Board of Governors of the Federal Reserve System (U.S.).
  25. ZHENG, Tingguo & WANG, Xia & GUO, Huiming, 2012. "Estimating forward-looking rules for China's Monetary Policy: A regime-switching perspective," China Economic Review, Elsevier, vol. 23(1), pages 47-59.
  26. Norris I. Bruce, 2008. "Pooling and Dynamic Forgetting Effects in Multitheme Advertising: Tracking the Advertising Sales Relationship with Particle Filters," Marketing Science, INFORMS, vol. 27(4), pages 659-673, 07-08.
  27. Felipe, Jesus & Estrada, Gemma & Lanzafame, Matteo, 2022. "The turnaround in Philippine growth: From disappointment to promising success," Structural Change and Economic Dynamics, Elsevier, vol. 62(C), pages 327-342.
  28. 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.
  29. Jorgenson, Dale W. & Jin, Hui & Slesnick, Daniel T. & Wilcoxen, Peter J., 2013. "An Econometric Approach to General Equilibrium Modeling," Handbook of Computable General Equilibrium Modeling, in: Peter B. Dixon & Dale Jorgenson (ed.), Handbook of Computable General Equilibrium Modeling, edition 1, volume 1, chapter 0, pages 1133-1212, Elsevier.
  30. Teresa Sastre & Francesca Viani, 2014. "Countries’ safety and competitiveness, and the estimation of current account misalignments," Working Papers 1401, Banco de España.
  31. Horváth, Roman, 2009. "The time-varying policy neutral rate in real-time: A predictor for future inflation?," Economic Modelling, Elsevier, vol. 26(1), pages 71-81, January.
  32. Giulia Rivolta, 2018. "Potential ECB reaction functions with time-varying parameters: an assessment," Empirical Economics, Springer, vol. 55(4), pages 1425-1473, December.
  33. Chang-jin Kim & N. Kundan Kishor & Charles R Nelson, 2006. "A Time-Varying Parameter Model for a Forward-Looking Monetary Policy Rule Based on Real-Time Data," Working Papers UWEC-2007-32, University of Washington, Department of Economics.
  34. Bhatt, Vipul & Kishor, Kundan & Marfatia, Hardik, 2017. "Estimating excess sensitivity and habit persistence in consumption using Greenbook forecast as an instrument," MPRA Paper 79748, University Library of Munich, Germany.
  35. Amr Sadek HOSNY, 2014. "Is Monetary Policy in Egypt Backward or Forward-Looking?," Applied Econometrics and International Development, Euro-American Association of Economic Development, vol. 14(2).
  36. Kishor, N. Kundan, 2012. "A Note On Time Variation In A Forward-Looking Monetary Policy Rule: Evidence From European Countries," Macroeconomic Dynamics, Cambridge University Press, vol. 16(S3), pages 422-437, November.
  37. Yanbin Chen & Zhen Huo, 2009. "A Conjecture of Chinese Monetary Policy Rule: Evidence from Survey Data, Markov Regime Switching, and Drifting Coefficients," Annals of Economics and Finance, Society for AEF, vol. 10(1), pages 111-153, May.
  38. Yoko KONISHI & Koji NOMURA, 2015. "Energy Efficiency Improvement and Technical Changes in Japanese Industries, 1955-2012," Discussion papers 15058, Research Institute of Economy, Trade and Industry (RIETI).
  39. Francisco Blasques & Noah Stegehuis, 2024. "A Score-Driven Filter for Causal Regression Models with Time- Varying Parameters and Endogenous Regressors," Tinbergen Institute Discussion Papers 24-016/III, Tinbergen Institute.
  40. Kutlu, Levent & Sickles, Robin C., 2012. "Estimation of market power in the presence of firm level inefficiencies," Journal of Econometrics, Elsevier, vol. 168(1), pages 141-155.
  41. Felipe Morandé & Mauricio Tejada, 2008. "Sources of Uncertainty for Conducting Monetary Policy in Chile," Working Papers Central Bank of Chile 492, Central Bank of Chile.
  42. Hematy , Maryam & Jalali-Naini , Ahmad R., 2015. "Monetary Policy Reaction Functions in Iran: An Extended Kalman Filter Approach," Journal of Money and Economy, Monetary and Banking Research Institute, Central Bank of the Islamic Republic of Iran, vol. 10(3), pages 29-48, July.
  43. 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.
  44. Felipe Morandé L. & Mauricio Tejada G., 2008. "Sources of Uncertainty in Monetary Policy Conduct in Chile," Journal Economía Chilena (The Chilean Economy), Central Bank of Chile, vol. 11(3), pages 45-80, December.
  45. Vipul Bhatt & N. Kundan Kishor & Hardik Marfatia, 2020. "Estimating Excess Sensitivity and Habit Persistence in Consumption Using Greenbook Forecasts," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 82(2), pages 257-284, April.
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