Slack-adjusted efficiency measures and ranking of efficient units

In non-parametric methods many units are calculated as efficient. The article suggests a method for ranking efficient units, not by their efficiency, but by importance as benchmarks for the inefficient units, in contrast to earlier suggestions in the literature which rank units high if they are specialized. However, the total potentials for improvement frequently remain unrevealed by calculating radial efficiency measures of the Farrell type only. The article therefore first develops efficiency measures that explicitly extend the radial measures to include slacks. The new measures are applied to a typical multidimensional small-sample data set for Norwegian employment offices.     

On recalls, layoffs, variable hours, and labor adjustment costs

The paper analyzes the employment policy of a firm that can vary both hours and the level of employment. The analysis differs from previous work in the adjustment cost literature in that the firm is able to change its employment not only through hires, layoffs, and quits, but also by recalls of employees who were previously laid off. Thus, we introduce the possibility of the firm inventorying the labor input. It is shown that this labor inventory potential is necessary if the firm is to ever lay off workers. Further, it is demonstrated that linear rather than strictly convex adjustment costs are then required if the firm is to always recall employees who were previously laid off prior to hiring new workers.     

The Effects of Auditor Social and Human Capital on Auditor Compensation: Evidence from the Italian Small Audit Firm Market

Abstract

This study examines whether social and human capital influence the compensation of individual auditors in the small audit firm market. We employ a sample of Italian auditors and use measures from the network and auditing literatures to capture their professional connections, representing social capital, and their industry expertise, representing human capital. Our findings show a positive and economically meaningful association between these individual attributes and auditor compensation. We run several tests to address potential endogeneity issues in our research design. Our results suggest that, in the small audit market, clients perceive as valuable those auditors with higher social and human capital, and as a result, are willing to pay a premium for these specific auditor attributes.     

Spillover effects of human service facilities in a racially segmented housing market

Previous studies of human service facility spillovers on residential property values have been inconclusive, and have failed to take into account the effects of racial segmentation of housing markets. Likewise, studies of racial discrimination in urban housing markets and price differentials between white and nonwhite areas of the city have failed to consider the impacts of service facilities on prices. This study develops an hedonic price model of housing services in a racially segmented housing market, which considers a variety of human service facilities and their spillover effects. Model results for Oakland, California in 1976 indicate that facilities significantly affect housing prices both positively and negatively, and that these effects vary by racial submarket. Implications of these findings for the interpretation of past discrimination studies, facility impact studies, and social policy are considered.     

On estimating the reliability after sequentially estimating the mean: The exponential case

Sequential estimation problems for the mean parameter of an exponential distribution has received much attention over the years. Purely sequential and accelerated sequential estimators and their asymptotic second-order characteristics have been laid out in the existing literature, both for minimum risk point as well as bounded length confidence interval estimation of the mean parameter. Having obtained a data set from such sequentially designed experiments, the paper investigates estimation problems for the associatedreliability function. Second-order approximations are provided for the bias and mean squared error of the proposed estimator of the reliability function, first under a general setup. An ad hoc bias-corrected version is also introduced. Then, the proposed estimator is investigated further under some specific sequential sampling strategies, already available in the literature. In the end, simulation results are presented for comparing the proposed estimators of the reliability function for moderate sample sizes and various sequential sampling strategies.     

The Risk Structure of Land Markets

Real property as an asset class represents over half of the wealth in the United States. Nevertheless, the structure of risk in real property markets is poorly understood. This paper develops a model of urban and agricultural land prices that integrates spatial and asset pricing theories and characterizes the spatial and temporal risk structure of the land market. Urban land is priced by a CAPM and agricultural land is priced by a real option to convert into urban land. We show that the price of land awaiting conversion increases with the growth rate of urban rents and unsystematic risk but decreases with risk aversion. However, it may be increasing or decreasing in systematic risk. The free boundary for exercise determines city size, which increases with the growth rate of urban rents but decreases with systematic and unsystematic risk.     

Air pollution-mortality models: A demonstration of the effects of random measurement error

Errors of measurement have long been recognized as a chronic problem in statistical analysis. Although there is a vast statistical literature of multiple regression models estimating the air pollution-mortality relationship, this problem has been largely ignored. It is well known that pollution measures contain error, but the consequences of this error for regression estimates is not known. We use Lave and Seskin's air pollution model to demonstrate the consequences of random measurement error. We assume a range of 0% to 50% of the variance of the pollution measures is due to error. We find large differences in the estimated effects on mortality of the pollution variables as well as the other explanatory variables once this measurement error is taken into account. These results cast doubt on the usual regression estimates of the mortality effects of air pollution. More generally our results demonstrate the consequences of random measurement error in the explanatory variable of a multiple regression analysis and the misleading conclusions that may result in policy research if this error is ignored.     

On bivariate generalized binomial and negative binomial distributions

The present paper deals with two types of generalized general binomial (binomial or negative binomial) distributions: (i) a univariate general binomial generalized by a bivariate distribution and (ii) a bivariate general binomial generalized by two independent univariate distributions. The probabilities, moments, conditional distributions and regression functions for these distributions are obtained in terms of bipartitional polynomials. Moreover recurrence relations for the probabilities and moments, independent of the bipartitional polynomials, are given. Finally these general results are applied to the (i) Binomial-Bivariate Poisson and (ii) Bivariate Binomial-Poissons distributions.