1999
DOI: 10.1111/j.1465-7295.1999.tb01428.x
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Economic Growth Regressions for the American States: A Sensitivity Analysis

Abstract: We use extreme-bounds analysis to assess the sensitivity of numerous control variables identified in the state growth literature. We employ annual panel data on the American states to identi& which variables are robust to small changes in the conditioning information set. The results provide a set of core variables as a starting point for future research that relies on state growth regressions. Thefindings also demonstrate that several important conclusions in the literature depend on how variables are measure… Show more

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Cited by 75 publications
(91 citation statements)
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“…That being said, it is well known that coefficient estimates are often highly dependent upon the particular set of variables included in the regression equation (Leamer, 1985;Levine and Renelt, 1992;Crain and Lee, 1999;Sala-i-Martin, 2004). To address this problem, I employ model selection criteria to determine variable selection.…”
Section: Introductionmentioning
confidence: 99%
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“…That being said, it is well known that coefficient estimates are often highly dependent upon the particular set of variables included in the regression equation (Leamer, 1985;Levine and Renelt, 1992;Crain and Lee, 1999;Sala-i-Martin, 2004). To address this problem, I employ model selection criteria to determine variable selection.…”
Section: Introductionmentioning
confidence: 99%
“…2 A related issue concerns how to defi ne the length of a time period for time series observations of states. Previous research on state-level taxes and growth has relied almost exclusively on either cross-sectional (e.g., Romans and Subrahmanyam, 1979;Mullen and Williams, 1994;Yamarik, 2000) or annual panel data (e.g., Helms, 1985;Crain and Lee, 1999).…”
Section: Introductionmentioning
confidence: 99%
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“…There are only few examples of growth regressions based on pooled cross-section and annual time-series data (e.g. Lee et al, 1997;Crain andLee, 1999, Bond et al, 2004).…”
mentioning
confidence: 99%