While classical measurement error in the dependent variable in a linear regression framework results only in a loss of precision, nonclassical measurement error can lead to estimates, which are biased and inference which lacks power. Here, we consider a particular type of nonclassical measurement error: skewed errors. Unfortunately, skewed measurement error is likely to be a relatively common feature of many outcomes of interest in political science research. This study highlights the bias that can result even from relatively “small” amounts of skewed measurement error, particularly, if the measurement error is heteroskedastic. We also assess potential solutions to this problem, focusing on the stochastic frontier model and Nonlinear Least Squares. Simulations and three replications highlight the importance of thinking carefully about skewed measurement error as well as appropriate solutions.

We specify a two-tier stochastic frontier model to estimate a price equation for U.S. Rieslings and determine overpricing and underpricing of specific wines. The data is for 2000–2016. Using tasting score and tasting score squared as sole independent variables, we found evidence of overpricing and underpricing of wines. When additional location variables were entered, empirical estimates for this two-tier model were infeasible, suggesting that both underpricing and overpricing did not occur simultaneously in this market. Separate one-sided stochastic frontier models were then specified and estimated to test for either under or overpricing in this market. Results showed that overpricing exists and not underpricing, but the extent of overpricing is minor, suggesting that wineries do an efficient job pricing their wines, given tasting scores, conditional on regional location premiums or discounts. We also investigated the effect of scale on pricing for a smaller set of wineries. (JEL Classifications: C4, D4, Q1)

Research on the efficiency of dairy farming in New Zealand is limited and has focused predominantly on technical efficiency. We contribute to the literature on empirical analysis by examining cost efficiency of New Zealand dairy farms. We construct simplified translog stochastic cost frontiers based on an unbalanced panel of 824 farms. Average cost efficiency is estimated at 83 percent for dairy farms in the North Island and 80 percent for farms in the South Island. Our analysis of the relationship between inefficiency and farm characteristics suggests significant associations between cost efficiency and capital intensity, livestock quality, and farm size.

A key organizational decision for retailers is whether to self-distribute or rely on a wholesaler-supplied network and yet little is known about the impact of this strategic choice on store-level productivity. We estimate a stochastic frontier model for food retailers that accounts for selectivity effects linked to the choice of distribution strategy. We find that adoption of data-sharing technologies has a positive impact on store-level gross margins of stores in self-distributing chains. Technical inefficiency among U.S. food retailers leads to a gross margin that is around $5,000 less for a conventional food retailer and about $7,670 less for a supercenter.

This study examines in an empirical comparison how different econometric specifications of stochastic frontier models affect the decomposition of total factor productivity growth. We estimate nine stochastic frontier models, which have been widely used in empirical investigations of sources of productivity growth. Our results show that the relative contribution of components to total factor productivity growth is quite sensitive to the choice of econometric model, which points to the need to select the “right” model. We apply various statistical tests to narrow the range of applicable models and identify additional criteria upon which to base the choice of non-nested models.

Agricultural production estimates have often differentiated and estimated different technologies within a sample of farms. The common approach is to use observable farm characteristics to split the sample into groups and subsequently estimate different functions for each group. Alternatively, unique technologies can be determined by econometric procedures such as latent class models. This paper compares the results of a latent class model with the use of a priori information to split the sample using dairy farm data. Latent class separation appears to be a superior method of separating heterogeneous technologies and suggests that technology differences are multifaceted.

In Finland, expanding dairy farms often face the problem of additional fields being geographically distant and only available as small parcels. We develop a stochastic production frontier model to estimate the technical efficiency of Finnish dairy farms and simulate the effect of parcel distance and parcel size on the efficiency of an average farm for 2000 through 2009. The overall development of technical efficiency is positive during the study period but increases in distance and decreases in parcel size both significantly reduce farm efficiency. Therefore, efforts to improve the parcel structure are justified.

Technical efficiency for cotton growers is examined using both stochastic (SFA) and nonstochastic (DEA) production function approaches. The empirical application uses farm-level data from four counties in west Texas. While efficiency scores for the individual farms differed between SFA and DEA, the mean efficiency scores are invariant of the method of estimation under the assumption of constant returns to scale. On average, irrigated farms are 80% and nonirrigated farms are 70% efficient. Findings show that in Texas, the irrigated farms, on average, could reduce their expenditures on other inputs by 10%, and the nonirrigated farms could reduce their expenditures on machinery and labor by 12% and 13%, respectively, while producing the same level of output.

Coffee production system is analyzed for 24 municipios (districts) in Veracruz, Mexico, from 1997 to 2002. A stochastic frontier approach is used to estimate an input distance function and to evaluate production efficiency. Results show the production process to be stable over time despite global price fluctuations. Production of staple crop (corn) with either coffee or other cash crops results in increased efficiency as a result of the economies of complementarity, while production of coffee with other cash crops leads to lower efficiency. Factors contributing to higher efficiency included higher population density, road availability, and higher altitude, typically associated with production of higher-quality coffee.

This study investigates a number of factors influencing technical efficiency of Greek farms participating in the 1994 European Union (EU) farm credit program. Technical efficiency measures are obtained within the framework of a parametric stochastic frontier. Factors showing a positive effect on technical efficiency are value of liabilities, number of hours of mechanical operation, large land size, and rental land, whereas those showing a negative effect are value of EU product subsidies, value of off-farm family income, and hired labor. The value of investments incurred by farms because of their participation in the 1994 farm credit program does not show any significant effect on technical efficiency. The predicted levels of technical efficiency indicate that the average technical efficiency of farms 3 years after participating in the 1994 farm credit program is lower than the average technical efficiency of the same farms the year before participating in the program. Thus, the program has failed to increase the efficiency of farms.

This article analyzes the impacts of microbial inoculant (MI) technology,which is a part of integrated pest management, on the U.S. apple productionusing farm-level data. To test the likely production impacts suggested byagronomic literature, we estimate a pesticide use function and stochasticproduction functions with damage control input specification. The resultsshow that although adoption of the MI technology does not reduce the use ofpesticides, the technology has a significant positive impact on yields andis associated with higher technical production efficiency rates.

The U.S. hog industry has experienced dramatic structural changes and rapid increases in farm productivity. A stochastic frontier analysis is used to measure hog enterprise total factor productivity (TFP) growth between 1992 and 2004 and to decompose this growth into technical change and changes in technical efficiency, scale efficiency, and allocative efficiency. Productivity gains over the 12-year period are found to be explained almost entirely by technical progress and by improvements in scale efficiency. Differences in TFP growth rates in the Southeast and Heartland regions were found to be explained primarily by differences in farm size growth rates.

We develop measures of technical and allocative efficiency of producers in marketing certified organic products. A stochastic output distance frontier and the associated revenue share equations are estimated using comprehensive U.S. data on certified organic producers. Farm-level measures of technical efficiency are calculated and factors that enhance performance are identified. Factors that systematically influence allocative efficiency are assessed. The revenue mix of organic producers is systematically inefficient as both male and female producers rely too heavily on revenue from organic markets relative to conventional outlets.

Bien qu'il est généralement admis en économie publique que le fossé qui sépare l'approche positive des choix publics et leur approche normative implique l'existence de possibles pareto améliorations dans les choix en matiere de dépense publique, il semble que l'économiste manque d'outils adéquats pour déterminer la réelle importance de ces possibles améliorations. Le présent article vise à combler, en partie, le manque et met plus particulierement l'accent sur les inefficacités coût dans la production de biens et services publics locaux. En effet, ces inefficacités étant indubitablement des inefficacités paretiennes, elles sont nécessairement à l'origine d'un gaspillage des ressources fiscales. Une méthode paramétrique fondée sur l'application du concept économétrique de frontière stochastique au concept microéconomique de fonction d'utilité en équivalent monétaire est développée puis appliquée dans le contexte du modèle bien connu de l'electeur médian. Une mise œuvre à partir de données sur les communes françaises est finalement proposée.