Badi H. Baltagi, James M. Griffin, Alternative Models of Managerial Behavior: Empirical Tests for the Petroleum Industry, The Review of Economics and Statistics, Vol. 71, No. 4 (Nov., 1989), pp. 579-585

This paper reexamines the benefits of pooling and, in addition, contrasts the performance of newly proposed heterogeneous estimators. The analysis utilizes a panel data set from 46 American states over the period 1963 to 1992 and a dynamic demand specification for cigarettes. Also, the forecast performance of the various estimators is compared.

This paper outlines a procedure for estimating a general index of technical change within the context of a quite general production technology. Specifically, when panel data are available for firms in an industry, time-specific dummies can be combined in a nonlinear estimation procedure to yield a general index of technical change that may be both nonneutral and scale augmenting. This approach offers numerous advantages over the traditional time trend representation of technical change. For example, the general index can serve as the basis for analysis of the determinants of technical change. Results for a sample of 30 electric utilities over the period 1951-78 show that the productivity decline of the 1970s can be attributed primarily to sulphur oxide restrictions and secularly declining capacity utilization due to rapidly increasing peak-load demands.

This paper proposes a methodology for obtaining estimates of firm-specific technical change econometrically and contrasts those estimates with a multilateral total factor productivity index. Based on a panel data set of airlines, two measures are contrasted in a variety of ways. To the extent that output characteristics differ as in the case of airlines, the two measures differ significantly. Both measures are regressed on a variety of factors potentially influencing technical efficiency, confirming that improvements in fuel efficiency and load factor have played major roles, with hubbing and competition playing smaller roles, in explaining efficiency improvements.