Finite sample evidence on the performance of stochastic frontier models using panel data

Most stochastic frontier models have focused on estimating average productive efficiency across all firms. The failure to estimate firm-specific effiicency has been regarded as a major limitation of previous stochastic frontier models. In this paper, we measure firm-level efficiency using panel data, and examine its finite sample distribution over a wide range of the parameter and model space. We also investigate the performance of the stochastic frontier approach using three estimators: maximum likelihood, generalized least squares and dummy variables (or the within estimator). Our results indicate that the performance of the stochastic frontier approach is sensitive to the form of the underlying technology and its complexity. The results appear to be quite stable across estimators. The within estimatoris preferred, however, because of weak assumptions and relative computational ease.The refereeing process of this paper was handled through J. van den Broeck.     

An analysis of technology,productivity, and regulatory distortion in the interstate natural gas transmission industry: 1977–1985

The purpose of this paper is to provide the first comprehensive firm level analysis of cost structures and production in the interstate pipeline industry during the transition from price regulation to partial deregulation, 1977–85. The regulatory changes during this period were numerous and complex. We do not attempt to isolate the impact of any single change in regulation; rather, we examine how the regulatory environment, as a whole, affected the industry. Our study is based on a newly constructed panel of twenty-four interstate pipeline firms. We give particular attention to the impact of output change, technical change, scale economies, and non-optimal input allocation on total factor productivity growth and the implication of the 1978 Natural Gas Policy Act partial price decontrol relative to total wellhead price decontrol for residential, commercial, utility, and industrial consumers of natural gas, and for the transport industry itself. © 1998 John Wiley & Sons, Ltd.     

Estimation of market power in the presence of firm level inefficiencies

“The quiet life hypothesis” (QLH) by Hicks (1935) argues that, due to management’s subjective cost of reaching optimal profits, firms use their market power to allow inefficient allocation of resources. Increasing competitive pressure is therefore likely to force management to work harder to reach optimal profits. Another hypothesis, which also relates market power to efficiency is “the efficient structure hypothesis” (ESH) by Demsetz (1973). ESH argues that firms with superior efficiencies or technologies have lower costs and therefore higher profits. These firms are assumed to gain larger market shares which lead to higher concentration. Ignoring the efficiency levels of the firms in a market power model might cause both estimation and interpretation problems. Unfortunately, the literature on market power measurement largely ignores this relationship. In the context of a dynamic setting, we estimate the market power of US airlines in two city-pairs by both allowing inefficiencies of the firms and not allowing inefficiencies of the firms. Using industry level cost data, we estimate the cost function parameters and time-varying efficiencies. An instrumental variables version of the square root Kalman filter is used to estimate time-varying conduct parameters.     

Turning from crime: A dynamic perspective

This paper examines criminal choice using a variant of the human capital model. The innovation of our approach is that it attempts to disaggregate individual capital, not unlike production-based studies which disaggregate physical capital into equipment and structures. We disaggregate an individual’s capital stock into the standard human capital component as well as a utility generating component that we call social capital. In our set-up, social capital is used to account for the influence of social norms on the decision to participate in crime. This is done by modeling the stigma of arrest as a reduction in the individual’s social capital stock. We also allow individuals to account for the impact of their criminal actions on their probability of arrest. In order to estimate the structural parameters underlying the model, we make use of computationally intensive methods involving simulated generalized method of moments and value function approximation. The empirical results, based on panel data from the Delinquency in a Birth Cohort II Study, support the social capital model of crime and reveal significant state dependence in the decision to participate in crime.     

Cross-country catch-up in the manufacturing sector: Impacts of heterogeneity on convergence and technology adoption

We analyze how technology transfer from a leading economy affects followers productivity growth in manufacturing sectors and Gross Domestic Product. Allowing for heterogeneous technology levels we explore how this impacts rates of catch-up in labor productivity across manufacturing sectors and GDP for 16 OECD nations. Our results indicate that aggregate studies bias downward the estimated rates of catch-up. These rates of catch-up, as well as efficiency levels, also differ across countries. We find that institutional factors such as bureaucratic efficiency are important determinants of the estimated catch-up rates.First version received:October 2001/Final version received:September 2003Earlier versions of this paper have been presented under the titles of Cross-Country Catch-up in Manufacturing and Heterogeneous Rates of Catch-up in Manufacturing Industries. The authors would like to thank participants of the North American Productivity Conference, June 2000, at Union College, N, Y., and the Associate Editor for helpful comments and criticisms.     

Semiparametric efficient estimation of dynamic panel data models

This paper extends the semiparametric efficient treatment of panel data models pursued by Park and Simar [Park, B.U., Simar, L., 1994. Efficient semiparametric estimation in stochastic frontier models. Journal of the American Statistical Association 89, 929–936] and Park et al. [Park, B.U., Sickles, R.C., Simar, L., 1998. Stochastic frontiers: a semiparametric approach. Journal of Econometrics 84, 273–301; Park, B.U., Sickles, R.C., Simar, L., 2003. Semiparametric efficient estimation of AR(1) panel data models. Journal of Econometrics 117, 279–309] to a dynamic panel setting. We develop a semiparametric efficient estimator under minimal assumptions when the panel model contains a lagged dependent variable. We apply this new estimator to analyze the structure of demand between city pairs for selected U.S. airlines during the period 1979 I–1992 IV.     

eBay in the Economic Literature: Analysis of an Auction Marketplace

This survey brings together theoretical and empirical questions that have been addressed in the economic literature on eBay, focusing on understanding the behavior of buyers and sellers. We discuss several puzzles of bidder behavior and the explanations that have been put forward by the literature for each. We then discuss structural estimates of bidder behavior and measuring the consumer surplus derived from eBay. We then try to understand why there are so many selling formats being used simultaneously, and then focus on the critical decision variables for a seller in an eBay English auction. Finally we analyze how trustworthy eBay sellers are on average, and whether the feedback system provides strong incentives for good behavior.     

The role of environmental factors in growth accounting

This paper explores a relatively new methodology, the directional distance function method, to analyse productivity growth. The method allows us to explicitly evaluate the role that undesirable outputs of the economy, such as carbon dioxide and other greenhouse gases, have on the frontier production process which we specify as a piecewise linear and convex boundary function. We decompose productivity growth into efficiency change (catching up) and technology change (innovation). We test the statistical significance of the estimates using recently developed bootstrap methods. We also explore implications for growth of total factor productivity in the OECD and Asian economies. Copyright © 2004 John Wiley & Sons, Ltd.