In this study, we provide a guideline for dealing with endogenous inputs and environmental variables in Battese and Coelli's (1995) stochastic frontier model. Our Monte Carlo simulations show that our estimators perform well

This study provides a guideline for dealing with endogenous inputs and environmental variables in Battese and Coelli's (1995) stochastic frontier model, which has been used in a vast number of empirical studies. The presence of endogenous variables in Battese and Coelli's model leads to...

This paper develops a nonparametric model that represents how sequences of outcomes and treatment choices influence one another in a dynamic manner. In this setting, we are interested in identifying the average outcome for individuals in each period, had a particular treatment sequence been...

This paper considers transformations of nonlinear semiparametric mean functions that yield moment conditions for estimation. Such transformations are said to be information equivalent if they yield the same asymptotic efficiency bound. I derive a unified theory of algebraic equivalence for...

Missing values are a major problem in all econometric applications based on survey data. A standard approach assumes data are missing-at-random and uses imputation methods, or even listwise deletion. This approach is justified if item non-response does not depend on the potentially missing...

Estimating efficiencies of higher education institutions (HEIs) has become a central area of research in efficiency analysis literature, particularly during the last two decades. Although the number of efficiency analysis researches in higher education has risen, comparative research estimating...

In this paper we show that the relationship between trade liberalization and fi rm productivity is sensitive to the method used to estimate the production function. We estimate the productivity of Colombian manufacturing plants using the methods of Levinsohn and Petrin (2003), Ackerberg, Caves...

We provide a complete asymptotic distribution theory for clustered data with a large number of groups, generalizing the classic laws of large numbers, uniform laws, central limit theory, and clustered covariance matrix estimation. Our theory allows for clustered observations with heterogeneous...

In a 'smart' electricity distribution network, flexible distribution resources (FDRs) can be coordinated to improve efficiency. But coordination enables whoever controls such resources to exercise market power. The paper establishes the following efficiency rankings of market structures:...

In a seminal paper, Feenstra (1994) developed an instrumental variable estimator which is becoming increasingly popular for estimating demand elasticities. Soderbery (2015) extended this estimator and created a routine which was shown to be more robust to data outliers when the number of time...