A Monte Carlo Study of Old and New Frontier Methods for Efficiency Measurement

This study presents the results of an extensive Monte Carlo experiment to compare different methods of efficiency analysis. In addition to traditional parametric-stochastic and nonparametric-deterministic methods recently developed robust nonparametric-stochastic methods are considered. The experimental design comprises a wide variety of situations with different returns-to-scale regimes, substitution elasticities and outlying observations. As the results show, the new robust nonparametric-stochastic methods should not be used without cross-checking by other methods like stochastic frontier analysis or data envelopment analysis. These latter methods appear quite robust in the experiments.Monte Carlo experiment, efficiency measurement, nonparametric stochastic methods

The Sources of Aggregate Productivity Growth - U.S. Manufacturing Industries, 1958-1996

The sources of aggregate productivity growth are explored using detailed data for four-digit U.S. manufacturing industries during 1958-96 and a decomposition formula which allows to quantify the contribution of structural change. Labor productivity as well as total factor productivity are considered and the aggregation is performed with either value-added or employment shares. It is shown that structural change generally works in favor of industries with increasing productivity. This effect is particularly strong in the years since 1990, in high-tech industries and in durable goods producing industries. The impact of the computer revolution can be clearly identified.aggregate productivity growth, structural change, manufacturing

Using the Manufacturing Productivity Distribution to Evaluate Growth Theories

Some multi-sector endogenous growth models make strong predictions about productivity differences across sectors in the form of a distribution or density function. In this paper it is demonstrated that this distribution is left-skewed for a wide range of plausible parameter values. This stands in strong contrast to the right-skewed shape of the respective empirical distribution estimated by kernel methods for a measure of relative productivity for more than 450 four-digit U.S. manufacturing industries during 1958-96. This difference is interpreted as evidence in favor of devoting more emphasis on the effects of structural change on the sectoral level in growth models.multisector growth models, manufacturing productivity distribution, skewness

The Global Trends of Total Factor Productivity. Evidence from the Nonparametric Malmquist Index Approach

In this paper the Malmquist index of total factor productivity is applied to a sample of 87 countries observed over the period 1960-90. This index and the method needed to quantify it, the data envelopment analysis, has substantial advantages as compared to traditional growth accounting. Two of these advantages are that it does not rely on questionable equilibrium assumptions to merge multiple inputs into a single index and that the rate of total factor productivity growth can explicitly be decomposed into a measure of efficiency change and the rate of technological progress. Results are reported both in the form of growth rates and measures of relative productivity levels. In each case related labour productivity measures are calculated and the differences to the total factor productivity measures are analysed. Among the topics covered are the productivity slowdown, the Asian Miracle and the bimodality of the distribution of relative producitivity levels.nonparametric productivity measurement, Malmquist index, growth accounting, productivity levels, distribution dynamics

Productivity Dynamics and Structural Change in the U.S. Manufacturing Sector

The paper investigates structural change among the four-digit (SIC) industries of the U.S. manufacturing sector during 1958-96 within a distribution dynamics framework. Focus is on the transition density of the Markov process that characterizes the value added shares of the industries. This transition density is estimated nonparametrically as well as by maximum likelihood, in which case the functional form of the density is derived from a search theoretic model. The nonparametric and the maximum likelihood fits show striking similarities. The relation of structural change to a relative measure of total factor productivity change is tested by an application of quantile regression and is found to be significantly positive throughout.structural change, productivity, manufacturing, quantile regression

Technical Efficiency of Automobiles – A Nonparametric Approach Incorporating Carbon Dioxide Emissions

We conduct an empirical analysis of the technical efficiency of cars sold in Germany in 2010. The analysis is performed using traditional data envelopment analysis (DEA) as well as directional distance functions (DDF). The approach of DDF allows incorporating the reduction of carbon dioxide emissions as an environmental goal in the efficiency analysis. A frontier separation approach is used to gain deeper insight for different car classes and regions of origin. Natural gas driven cars and sports-utility-vehicles are also treated as different groups. The results show that the efficiency measurement is significantly influenced by the incorporation of carbon dioxide emissions. Moreover, we find that there is indeed a trade-off between technological performance and environmental performance.nonparametric efficiency measurement, directional distance function, automobiles, air pollution

Numerical Explorations of the Ngai-Pissarides Model of Growth and Structural Change

In this paper we specialize the Ngai-Pissarides model of growth and structural change [American Economic Review 97 (2007), 429-443] to the case of three sectors, representing the primary (agriculture, mining), secondary (construction, manufacturing) and tertiary (services) sectors. On that basis we explore the dynamic properties of the model along the transition path to the steady-state equilibrium by numerical methods. Our explorations show that the model misses several stylized facts of structural change among these sectors. We propose several extensions of the model to align the model more closely with the facts.economic growth, structural change, transition path

Knowledge, Profitability and Exit of German Car Manufacturing Firms

In this paper the profitability of German car manufacturing firms is related to different indicators for the knowledge incorporated in the firms since the birth of the industry in 1886. The analysis is performed with an ordered probit model, where information about the kind of exit of the firms is exploited to construct a latent profitability variable. Knowledge is represented by the number of patents, learning-by-doing and entrepreneurial experience before entry. The results show that knowledge is significantly positively related to firm profitability and that each of the three knowledge forms exerts an independent effect.firms profitability, exit modes, knowledge, ordered choice, automobile industry

Micro-Heterogeneity and Aggregate Productivity Development in the German Manufacturing Sector - Results from a Decomposition Exercise

In this paper different formulae for the decomposition of aggregate productivity levels and changes are applied to a sample of German manufacturing firms that pertain to 11 different industries at a roughly two-digit level observed over the period 1981-1998. Productivity is measured by a nonparametric frontier function approach. The decompositions of productivity allow for an explanation of the aggregate outcomes by the quantification of the effect of structural change as well as the contributions from entering and exiting firms. Our results show that these forces drive aggregate productivity dynamics to a considerable extent. Especially the period after the German reunification is characterized by large productivity improvements, mostly driven by structural change.productivity, structural change, manufacturin