The Economic Value of Water Quality

Stated preference values for water quality ratings based on the US Environmental Protection Agency National Water Quality Inventory ratings provide an operational basis for benefit assessment. Iterative choice survey results for a very large, nationally representative, Web-based panel imply an average valuation of $32 for each percent increase in lakes and rivers in the region for which water quality is rated “Good.” Valuations are skewed, with the mean value more than double the median. Sources of heterogeneity in benefit values include differences in responses to average water quality information and the base level of water quality. Conjoint estimates are somewhat lower than the iterative choice values. The annual economic value of the decline in inland US water quality from 1994 to 2000 is over $20 billion.      

Task assignment and organizational form

This paper shows that a firm prefers a process-based task assignment compared to a function-based one if the tasks are from functional areas which are neither too complementary nor too substitutable. We consider several projects (processes) with contributions from several functional areas. The organization can be structured along processes like product lines (M-form) or along functional areas like marketing or production (U-form). The U-form enables cost savings due to specialization or scale economies. The more effective incentives under the M-form might outweigh these savings if the functions are neither too complementary nor too substitutable.      

Investment in human capital and gender wage differences: evidence from the NLSY

This paper uses data from the National Longitudinal Survey of Youth (NLSY) to investigate gender differences in returns to various forms of human capital. Since the NLSY includes relatively detailed information regarding on- and off-the-job training, we place special emphasis on measuring gender differences in the incidence of and returns to formal post-school training. Also considered is the role of nonhuman capital factors such as industry and occupation in explaining the wage gap. It is found that about 60% of the gender wage gap in the sample is explained by mean differences in individual characteristics and market circumstances. This suggests a smaller role for discrimination in explaining the wage gap than previous research has found. The research indicates that training does not affect the gender wage gap. Also it is found that there is no statistically significant difference in the rate of return to other measures of human capital for women versus men. Our research suggests that the largest factors contributing to the wage gap are differences in the stocks of human capital for men and women, and differences in the distributions of men and women across industries and occupations.     

Short Run Constraints and the Increasing Marginal Value of Time in Recreation

Leisure activities such as local recreation trips usually take place in discrete blocks of time that are surrounded by time devoted to other commitments. It can be costly to transfer time between blocks to allow for longer outings. These observations affect the value of time within those blocks and suggest that traditional methods for valuing time using labor markets miss important considerations. This paper presents a new model for time valuation that uses non-employment time commitments to infer the shadow value of time spent in recreation. A unique survey that elicited revealed and stated preference data on household time allocation is used to implement the model. The results support the conclusion that there is an increasing marginal value of time for recreation as the trip length increases.