The authors study alternative estimators of the impacts of higher level variables in multilevel models. This is important since many of the important variables in social science research are higher level factors having impacts on many lower level outcomes such as school achievement and...

The use of logistic regression to estimate a discrete-time hazard model is discussed. The derivation of linkage between the results of the estimation of the logistic regression equations and the summary measures of the life table is presented. We argue that the method is responsive to the needs...

By utilizing the Integrated Public Use Microdata Series (IPUMS) and a measure of occupational prestige (OCCSCORE) as a labor market outcome, the authors examine variations in the degree of labor market discrimination faced by several ethnic and racial groups in the United States between 1880 and...

Estimation of demand for health care with samples of only the ill may bias estimates. Additionally, the lack of exogenous information, especially distance, about the alternative care providers causes omitted variable problems. This paper alleviates both problems through geographic mapping of...

This study attempts to empirically answer three important policy questions for a population sample from Ogun State, Nigeria: 1. 1. Would price (fee) increases for health care lead to large reductions of care usage or to shifts across types of care used?2. 2. Would price increases lead to net...