Bayesian Linear Estimation of Okun Coefficient for Romania: Sensitivity to Priors Distributions
AbstractI use the Bayesian approach in order to derive an estimation of Okun coefficient for Romania. The data used is at quarterly frequency and it consists in the unemployment rate and GDP between 2000 and 2009. I use three different priors, a normal one, a beta prior and a uniform prior for the parameter associated to the Okun coefficient. The results indicate an Okun coefficient around -0.20, with the prior distributions having a mild effect on posterior mean results.
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Bibliographic InfoArticle provided by Department of International Business and Economics from the Academy of Economic Studies Bucharest in its journal Romanian Economic Journal.
Volume (Year): 13 (2010)
Issue (Month): 38 (December)
dynamic linear models; Bayesian techniques; unemployment; Okun coefficient; simulation techniques;
Find related papers by JEL classification:
- C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
- E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
- E52 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Monetary Policy
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- KARGI, Bilal, 2013. "Okun’s Law and Long Term Co-Integration Analysis for OECD Countries (1987-2012)," MPRA Paper 55700, University Library of Munich, Germany.
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