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The flexible least squares approach to time-varying linear regression

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  1. Baris Soybilen & Burak Alparslan Eroglu, 2019. "Time-Varying Taylor Rule Estimation for Turkey with Flexible Least Square Method," Bogazici Journal, Review of Social, Economic and Administrative Studies, Bogazici University, Department of Economics, vol. 33(2), pages 1-20.
  2. 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, Polish Statistical Association, vol. 19(2), pages 258-293, June.
  3. Zsuzsanna Zsibók & Balázs Varga, 2012. "Inflation Persistence in Hungary: a Spatial Analysis," Working Papers 1203, Department of Mathematical Economics and Economic Analysis, Corvinus University of Budapest.
  4. Kalaba, Robert & Tesfatsion, Leigh, 1996. "A multicriteria approach to model specification and estimation," Computational Statistics & Data Analysis, Elsevier, vol. 21(2), pages 193-214, February.
  5. Alptekin, Aynur & Broadstock, David C. & Chen, Xiaoqi & Wang, Dong, 2019. "Time-varying parameter energy demand functions: Benchmarking state-space methods against rolling-regressions," Energy Economics, Elsevier, vol. 82(C), pages 26-41.
  6. Evžen Kočenda & Balázs Varga, 2018. "The Impact of Monetary Strategies on Inflation Persistence," International Journal of Central Banking, International Journal of Central Banking, vol. 14(4), pages 229-274, September.
  7. Ling T. He, & James. R. Webb & Neil Myer, 2003. "Interest Rate Sensitivities of REIT Returns," International Real Estate Review, Global Social Science Institute, vol. 6(1), pages 1-21.
  8. Pusse, Leo, 1998. "Export als Bestimmungsfaktor der Beschäftigung : ökonomische Analysen auf makroökonomischer Ebene (Export as a determinant of employment : econometric analyses at macroeconomic level)," Mitteilungen aus der Arbeitsmarkt- und Berufsforschung, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany], vol. 31(1), pages 108-122.
  9. Scharnagl, Michael & Stapf, Jelena, 2015. "Inflation, deflation, and uncertainty: What drives euro-area option-implied inflation expectations, and are they still anchored in the sovereign debt crisis?," Economic Modelling, Elsevier, vol. 48(C), pages 248-269.
  10. K. Triantafyllopoulos & G. Montana, 2011. "Dynamic modeling of mean-reverting spreads for statistical arbitrage," Computational Management Science, Springer, vol. 8(1), pages 23-49, April.
  11. Zsolt Darvas & Balẳ Varga, 2014. "Inflation persistence in central and eastern European countries," Applied Economics, Taylor & Francis Journals, vol. 46(13), pages 1437-1448, May.
  12. 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.
  13. A Vadivel & M Ramachandran, 2014. "The Reserve Bank of India's Reaction to Exchange Rate Variation: A timevarying parametric approach," IEG Working Papers 339, Institute of Economic Growth.
  14. Josipa VIŠIC & Blanka ŠKRABIC, 2010. "Determinants of Incoming Cross-Border M&A: Evidence from European Transition Economies," EcoMod2010 259600168, EcoMod.
  15. Ling He & Alan Reichert, 2003. "Time variation paths of factors affecting financial institutions and stock returns," Atlantic Economic Journal, Springer;International Atlantic Economic Society, vol. 31(1), pages 71-86, March.
  16. Pusse, Leo, 1998. "Export als Bestimmungsfaktor der Beschäftigung : ökonomische Analysen auf makroökonomischer Ebene (Export as a determinant of employment : econometric analyses at macroeconomic level)," Mitteilungen aus der Arbeitsmarkt- und Berufsforschung, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany], vol. 31(1), pages 108-122.
  17. Tucci, Marco P., 1995. "Time-varying parameters: a critical introduction," Structural Change and Economic Dynamics, Elsevier, vol. 6(2), pages 237-260, June.
  18. David E. Runkle & Peter C. Young, 1989. "Recursive estimation and modelling of nonstationary and nonlinear time series," Discussion Paper / Institute for Empirical Macroeconomics 7, Federal Reserve Bank of Minneapolis.
  19. 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.
  20. He, Ling T., 2005. "Instability and predictability of factor betas of industrial stocks: The Flexible Least Squares solutions," The Quarterly Review of Economics and Finance, Elsevier, vol. 45(4-5), pages 619-640, September.
  21. Zsolt Darvas & Balázs Varga, 2012. "Uncovering Time-Varying Parameters with the Kalman-Filter and the Flexible Least Squares: a Monte Carlo Study," Working Papers 1204, Department of Mathematical Economics and Economic Analysis, Corvinus University of Budapest.
  22. Hayette Gatfoui & Christian Walter, 2007. "Less Can Be More!," Post-Print hal-04515402, HAL.
  23. Naveen Srinivasan, 2014. "Testing the Expectations Trap Hypothesis: A Time-Varying Parameter Approach," Working Papers 2014-089, Madras School of Economics,Chennai,India.
  24. Scharnagl, Michael & Stapf, Jelena, 2014. "Inflation, deflation, and uncertainty: What drives euro area option-implied inflation expectations and are they still anchored in the sovereign debt crisis?," Discussion Papers 24/2014, Deutsche Bundesbank.
  25. A. Talha Yalta, 2016. "Bootstrap Inference of Level Relationships in the Presence of Serially Correlated Errors: A Large Scale Simulation Study and an Application in Energy Demand," Computational Economics, Springer;Society for Computational Economics, vol. 48(2), pages 339-366, August.
  26. Kuethe, Todd H. & Foster, Kenneth A. & Florax, Raymond J.G.M., 2008. "A Spatial Hedonic Model with Time-Varying Parameters: A New Method Using Flexible Least Squares," 2008 Annual Meeting, July 27-29, 2008, Orlando, Florida 6306, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
  27. He, Ling T., 2001. "Time variation paths of international transmission of stock volatility -- US vs. Hong Kong and South Korea," Global Finance Journal, Elsevier, vol. 12(1), pages 79-93.
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