Michael Abbott, Orley Ashenfelter; Labour Supply, Commodity Demand and the Allocation of Time: Correction, The Review of Economic Studies, Volume 46, Issue

Journal Article Labour Supply, Commodity Demand and the Allocation of Time Get access Michael Abbott, Michael Abbott Queen's University Search for other works by this author on: Oxford Academic Google Scholar Orley Ashenfelter Orley Ashenfelter Princeton University Search for other works by this author on: Oxford Academic Google Scholar The Review of Economic Studies, Volume 43, Issue 3, October 1976, Pages 389–411, https://doi.org/10.2307/2297216 Published: 01 October 1976 Article history Received: 01 January 1975 Accepted: 01 November 1975 Published: 01 October 1976

This paper examines the relationship between product market competition and employment discrimination using an especially constructed data set that links microeconomic data on female employment with measures of market concentration in the banking industry. The use of firm-specific data drawn from this one industry allows estimation of this relationship in a manner that avoids the problems of interindustry differences that have troubled previous studies. The results provide strong support for a negative relationship between market concentration and the relative employment of women. Further, we find that individual market shares are unrelated to female employment, suggesting that the relationship is due primarily to differences across markets rather than individual firms.

This article reports nonparametric estimates of the effect of labor-supply behavior on the payments to families enrolled in the Seattle/Denver Income Maintenance Experiment. The randomized assignment of families to the treatment groups in this experiment was designed to permit the calculation of these nonparametric estimates. However, the nonparametric estimates have never been reported, even though they are easy to construct using a simple weighting procedure. Unfortunately, responses to the data collection instrument (which depended on costly surveys) were not random, and this opens up some ambiguity in the results.

In this paper we use two alternative methods to assess the effects of climate change on the quality of wines from the vineyards of the Mosel Valley in Germany. In the first, structural approach we use a physical model of solar radiation to measure the amount of energy collected by a vineyard and then to establish the econometric relation between energy and vineyard quality. Coupling this hedonic function with the physics of heat and energy permits a calculation of the impact of any temperature change on vineyard quality (and prices). In a second approach, we measure the effect of year-to-year changes in the weather on land or crop values in the same region and use the estimated hedonic equation to measure the effect of temperature change on prices. The empirical results of both analyses indicate that the vineyards of the Mosel Valley will increase in value under a scenario of global warming, and perhaps by a considerable amount.

This paper uses a new survey to contrast the wages of genetically identical twins with different schooling levels. Multiple measurements of schooling levels were also collected to assess the effect of reporting error on the estimated economic returns to schooling. The data indicate that omitted ability variables do not bias the estimated return to schooling upward, but that measurement error does bias it downward. Adjustment for measurement error indicates that an additional year of schooling increases wages by 12-16 percent, a higher estimate of the economic returns to schooling than has been previously found.