This paper reports on results obtained from the estimation of a rail cost function using a pooled-time series, cross section of Class I railroads for the period 1974-1986. An analysis is performed of short-run and long-run returns to scale, the extent of capital disequilibrium, and adjustments...

We have used a proprietary data set of newly hired semi-skilled production workers at one location of a large unionized firm to investigate several issues in labor economics. This data set is unique in several respects: the workers in our sample faced the same wage schedules, had the same...

Our purpose in this paper is to develop and estimate a model of the US automobile industry that can be used to analyze the secular and cyclical strategic markup behavior and market structure of its three major domestic producers - - GM, Ford and Chrysler. The principal novelty in this paper is...

One-step efficient GMM estimation has been developed in the recent papers of Back and Brown (1990), Imbens (1993) and Qin and Lawless (1994). These papers emphasized methods that correspond to using Owen's (1988) method of empirical likelihood to reweight the data so that the reweighted sample...

The success of deregulation in creating a viable private rail freight system in the ?U.S. since 1979 is relatively undisputed. Deregulation has proceeded in three ways: (i) eased rate setting restrictions; (ii) simplified merger applications and approval procedures; and (iii) relaxed route...

We have used a proprietary data set of newly hired semi-skilled production workers at one location of a large unionized firm to investigate several issues in labor economics. This data set is unique in several respects: the workers in our sample faced the same wage schedules, had the same...

This paper develops an econometric model of the effects of R&D effort on the magnitude and characteristics of technical change in the Bell system. We estimate simultaneously a vintage capital production function, embodying several distinct types of capital, and various factor demand functions...

Conditional distribution functions are important statistical objects for the analysis of a wide class of problems in econometrics and statistics. We propose flexible Gaussian representations for conditional distribution functions and give a concave likelihood formulation for their global...