Orley Ashenfelter
This paper summarizes the results of nearly a dozen new papers presented at the Sundance Conference on Monopsony in Labor Markets held in October 2018. These papers, to be published as a special issue of the Journal of Human Resources, study various aspects of monopsony and failures of competition in labor markets. It also reports on the new developments in public policies associated with widespread concerns about labor market competition and efforts to ameliorate competitive failures. The conference papers range from studies of the labor supply elasticity individual firms face to studies of local labor market concentration to studies of explicit covenants suppressing labor market competition. New policies range from private and public antitrust litigation to concerns about the effect of mergers and inter-firm agreements on labor market competition. We provide a detailed discussion of the mechanics of the Silicon Valley High Tech Worker conspiracy to suppress competition based on Court documents in the case. Non-compete agreements, which are not enforceable in three states already, have also come under scrutiny.
Based on hourly wage rates from nearly all McDonald’s restaurants, and prices of the Big Mac sandwich, we find an elasticity of the wage with respect to the minimum wage of 0.7. This elasticity does not differ between affected and unaffected restaurants because many restaurants maintain a constant wage ‘premium’ above the minimum wage. Higher minimum wages are not associated with faster adoption of touch-screen ordering, and there is near-full price pass-through of minimum wages. Minimum wages lead to higher real wages (expressed in Big Macs per hour) that are one fifth lower than the corresponding increases in nominal wages.
The available estimates of the wage elasticity of male labor supply in the literature have varied between -0.2 and 0.2, implying that permanent wage increases have relatively small, poorly determined effects on labor supplied. The variation in existing estimates calls for a simple, natural experiment in which men can change their hours of work, and in which wages have been exogenously and permanently changed. We introduce a panel data set of taxi drivers who choose their own hours, and who experienced two exogenous permanent fare increases instituted by the New York City Taxi and Limousine Commission. Our preferred estimate suggests that their elasticity of labor supply is about -0.2.
In 1987 the federal government permitted states to raise the speed limit on their rural interstate roads, but not on their urban interstate roads, from 55 mph to 65 mph for the first time in over a decade. Since the states that adopted the higher speed limit must have valued the travel hours they saved more than the fatalities incurred, this experiment provides a way to estimate an upper bound on the public’s willingness to trade off wealth for a change in the probability of death. We find that the 65 mph limit increased speeds by approximately 3.5% (i.e., 2 mph), and increased fatality rates by roughly 35%. In the 21 states that raised the speed limit and for whom we have complete data, the estimates suggest that about 125,000 hours were saved per lost life. Valuing the time saved at the average hourly wage implies that adopting states were willing to accept risks that resulted in a savings of $1.54 million (1997$) per fatality, with a sampling error that might be around one-third this value. Since this estimate is an upper bound of the value of a statistical life (VSL), we set out a simple structural model that is identified by variability across the states in the probability of the adoption of increased speed limits to recover the VSL. The empirical implementation of this model produces estimates of the VSL that are generally smaller than $1.54 million, but these estimates are very imprecise.