Transcription of Estimating Dynamic Panel Data Models: A Practical Guide ...
{{id}} {{{paragraph}}}
20th & C Sts., , Washington, 20551. Phone: (202)736-5612 Fax: (202)452-*2301. This paper represents the views of the authors and should not be interpreted as reflectingthose of the Board of Governors of the Federal Reserve System or other members of its Dynamic Panel Data Models: A Practical Guide for MacroeconomistsRuth A. L. Reserve Board of Governors*January 1996 AbstractPrevious research on Dynamic Panel estimation has focused on panels that, unlike atypical Panel of macroeconomic data, have small time dimensions and large individualdimensions. We use a Monte Carlo approach to investigate the performance ofseveral different methods designed to reduce the bias of the estimated coefficients forthe longer, narrower panels commonly found for macro data.
Anderson and Hsiao (1981) derive an instrumental variables approach. Holtz-Eakin, Newey and Rosen (1988) expand on the Anderson-Hsiao approach, showing how to implement it to estimate a vector autoregression with time-varying parameters. Arellano and Bond (1991) use Monte Carlo
Domain:
Source:
Link to this page:
Please notify us if you found a problem with this document:
{{id}} {{{paragraph}}}