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What You Match Does Matter: The Effects of Data on DSGE Estimation Author info | Abstract | Publisher info | Download info | Related research | Statistics Pablo A. Guerron () (Department of Economics, North Carolina State University)
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This paper explores the effects of using alternative data sets for the estimation of DSGE models. I find that the estimated structural parameters and the model's outcomes are sensitive to the variables used for estimation. Depending on the set of variables the point estimate for habit formation ranges from 0.70 to 0.97. Similarly, the interest-smoothing coefficient in the Taylor rule fluctuates between 0.06 and 0.76. In terms of the model's predictions, if interest rates are excluded during estimation, the estimated structural coefficients are such that the model forecasts a strong deflation following an expansionary monetary expansion. More importanlty, three ways to assess different observable sets are proposed. Based on these measures, I find that that including the price of investment in the data set delivers the best results.
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Paper provided by North Carolina State University, Department of Economics in its series Working Paper Series with number
012.
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Length: 46 pages
Date of creation: Jul 2007Date of revision:
Handle: RePEc:ncs:wpaper:012Note: First draft 2007-06Contact details of provider: Phone: (919) 515-3274 Web page: http://www.mgt.ncsu.edu/faculty/economics.html More information through EDIRC
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Keywords: Bayesian Estimation ; DSGE ; Variable Selection ; Impulse Response ; Entropy ; Find related papers by JEL classification: C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles E37 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Forecasting and Simulation
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