We develop a nonparametric approach to meta-analysis and use it to identify modeling decisions that affect benefit transfer errors. The meta-data describe the results from 31 empirical studies testing the convergent validity of benefit transfers. They evaluated numerous methodological...

Presidential Executive Order 12,866 requires federal agencies to design “cost-effective” regulations and to assess “costs and benefits” of these regulations on the basis of “the best reasonably obtainable scientific, technical, economic, and other information.” Benefit transfers are...

Benefit–Cost Analyses for Security Policies describes how to undertake the evaluation of security policies within the framework of benefit–cost analysis and offers a unique contribution to analysis of homeland security regulations in the United States. The authors outline how...

Improvement in maternal health care is at the center stage of policy making for many developing countries including India, which is faced with a high maternal mortality rate of 540 deaths per 100,000 live births. In India, 36% of women are underweight and an important policy question is whether...

Meta-analyses are becoming a popular tool for supporting benefit transfers, but the availability of studies is a direct consequence of policy issues, research funding, and investigator interest. We investigate fragility versus robustness of the meta-equation by considering sample selection,...

There has recently been a dramatic increase in the number of papers that have combined quasi-experimental methods with hedonic property models. This is largely due to the concern that cross-sectional hedonic methods may be severely biased by omitted variables. While the empirical literature has...

Laboratory and field experiments have grown significantly in prominence over the past decade. The experimental method provides randomization in key variables therefore permitting a deeper understanding of important economic phenomena. This path-breaking volume provides a valuable collection of...