Our study revisits Beck and Katz' (1995) comparison of the Parks and PCSE estimators using time-series, cross-sectional data (TSCS). Our innovation is that we construct simulated statistical environments that are designed to approximate actual TSCS data. We pattern our statistical environments...

Panel data characterized by groupwise heteroscedasticity, cross-sectional correlation, and AR(1) serial correlation pose problems for econometric analyses. It is well known that the asymptotically efficient, FGLS estimator (Parks) sometimes performs poorly in finite samples. In a widely cited...

Panel data characterized by groupwise heteroscedasticity, cross-sectional correlation, and AR(1) serial correlation pose problems for econometric analyses. It is well known that the asymptotically efficient, Feasible Generalized Least Squares (FGLS) estimator (Parks) sometimes performs poorly in...

This study provides a comprehensive examination of the work and family structure incentives of public assistance, focusing on the consequences of state-determined programs. Such an approach allows state policy- makers to understand the tradeoffs implicit in their current program parameters. It...

I examine the wage effects of Right-To-Work (RTW). Using state-level data, I estimate that, ceteris paribus, RTW states have average wages that are significantly higher than non-RTW states. This result is robust is across a wide variety of specifications. An important distinctive of this study...

Tax Burden, defined as the ratio of total tax revenues over personal income, is prominently used to summarize state tax policy. We analyze the empirical relationship between changes in Tax Burden and changes in state tax policy from 1987 to 2000 – as measured by states’ own forecasts of the...

The Whitman Administration’s 30 percent reduction in New Jersey’s personal income taxes from 1994-96 is prominently cited as a role model for state fiscal policy. We investigate whether the growth benefits attributed to the Whitman tax cuts are warranted. Panel data methods are applied to...