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Money and Interest in a Cash-in-Advance Economy

Econometrica 1987 55(3), 491 open access
In this paper we analyze an aggregative general equilibriiri model in which the use of money is motivated by a cash-in-advance constraint, applied to purchases of a subset of consumption goods. The system is subject to both real and nxnetary shocks, which are economy-wide and observed by all. We develop methods for verifying the existence of, characterizing, and explicitly calculating equilibria. A main result of the analysis is that current money growth affects the current real allocation only insofar as it affects expectations about future money growth, i.e., only through its value as a signal.

Labor Rent Sharing and Regulation: Evidence from the Trucking Industry

Journal of Political Economy 1987 95(6), 1146-1178 open access
Labor is likely to be an important claimant to firms' rents, particularly in a regulated environment. This study analyzes wage responses to trucking deregulation to test labor rent-sharing hypotheses. The results indicate substantial declines in union wages as a consequence of reduced regulatory rents. Union premia over nonunion wages fell from 50 percent to less than 30 percent, implying aggregate annual losses of $950 million to $1.6 billion. Rent spillovers to nonunion drivers and truck drivers outside the regulated trucking industry appear insignificant. The results suggest that union workers captured more than two-thirds of total industry rents and provide strong support for union rent-sharing hypotheses. Copyright 1987 by University of Chicago Press.

Tiebout Bias and the Demand for Local Public Schooling

The Review of Economics and Statistics 1987 69(3), 426 open access
Until recently, estimates of demand functions for public goods were obtained (either with aggregate or micro survey data) using single equation estimation techniques. However, demand estimates may be biased when in dividuals' choices of communities are dependent upon the quantity and quality of public good provided. This paper spells out the nature of this bias (called Tiebout bias) and suggests an improved maximum-likelihood estimation technique. The technique is applied to a data set involving local public education in Michigan. Copyright 1987 by MIT Press.