A semiparametric estimator for evaluating the parameters of data generated under a sample selection process is developed. This estimator is based on the generalized maximum entropy estimator and performs well for small and ill-posed samples. Theoretical and sampling comparisons with parametric...

We use three conventional inequality indices-the Gini, the coefficient of variation of income, and the relative mean deviation of income-and the Atkinson index to examine the effect of income tax rates, the minimum wage, and all the major government welfare and transfer programs on the evolution...

We use a nonlinear, nonparametric method to forecast the unemployment rates. We compare these forecasts to several linear and nonlinear parametric methods based on the work of Montgomery et al. (1998) and Carruth et al. (1998). Our main result is that, due to the nonlin-earity in the data...

Using a maximum entropy technique, we estimate the market shares of each firm in an industry using the available government summary statistics such as the four-firm concentration ratio (C4) and the Herfindahl-Hirschmann Index (HHI). We show that our technique is very effective in estimating the...

Generalized maximum entropy may be used to estimate mixed strategies subject to restrictions from game theory. This method avoids distributional assumptions and is consistent and efficient. We use this method to estimate the mixed strategies of duopolistic airlines.

The minimum wage, unlike most government transfer programs, lowered welfare in the 1980s and 1990s as measured by all commonly used welfare or inequality measures, including various Atkinson indexes, the Gini index, standard deviation of logarithms, and others. The effects of most government...

The minimum wage, unlike most government transfer programs, lowered welfare in the 1980s and 1990s as measured by all commonly used welfare or inequality measures, including various Atkinson indexes, the Gini index, standard deviation of logarithms, and others. The effects of most government...

We develop a generalized maximum entropy estimator that can estimate pure and mixed strategies subject to restrictions from game theory. This method avoids distributional assumptions and is consistent and efficient. We demonstrate this method by estimating the mixed strategies of duopolistic...