A MATCHED PAIRS ANALYSIS OF STATE GROWTH DIFFERENCES
The American states have provided a rich laboratory in which to examine influences on economic growth, physical capital, human capital, and a variety of policy variables. Existing studies typically use broad cross sections of all states or particular regional subsamples. Pairwise matching is an alte...
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Published in: | Contemporary economic policy Vol. 30; no. 2; pp. 293 - 305 |
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Main Authors: | , , |
Format: | Journal Article |
Language: | English |
Published: |
Oxford, UK
Blackwell Publishing Ltd
01-04-2012
Western Economic Association International Blackwell Publishers Ltd Western Economic Association |
Series: | Contemporary Economic Policy |
Subjects: | |
Online Access: | Get full text |
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Summary: | The American states have provided a rich laboratory in which to examine influences on economic growth, physical capital, human capital, and a variety of policy variables. Existing studies typically use broad cross sections of all states or particular regional subsamples. Pairwise matching is an alternative design for better controlling of omitted variables. We estimate a growth model of U.S. states for 1997–2005 before and after applying different pairwise matching techniques. Our results indicate that sample estimates based on pairwise matching substantially improve the overall ability of the growth model to identify the growth‐enhancing effects of lower tax burdens in general and lower individual income‐tax rates in particular. These effects are more pronounced with narrower matching criteria. (JEL H00, C29, O40) |
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Bibliography: | ark:/67375/WNG-XSWR7TX2-S istex:655D7D6A815EA6088AA5CAE31EE08F89C94D396E ArticleID:COEP258 The authors thank Bob Tollison, Dennis Wilson, and participants on panels at the Southern Economic Association Meetings and Academy of Economics and Finance Meetings, an anonymous referee, and the editor for useful comments and suggestions. ObjectType-Article-2 SourceType-Scholarly Journals-1 ObjectType-Feature-1 content type line 23 ObjectType-Article-1 ObjectType-Feature-2 |
ISSN: | 1074-3529 1465-7287 |
DOI: | 10.1111/j.1465-7287.2011.00258.x |