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Specification tests in econometrics
Using the result that under the null hypothesis of no misspecification an asymptotically efficient estimator must have zero asymptotic covariance with its difference from a consistent butExpand
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Econometric Models for Count Data with an Application to the Patents-R&D Relationship
This paper focuses on developing and adapting statistical models of counts (non-negative integers) in the context of panel data and using them to analyze the relationship between patents and R&DExpand
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Panel Data and Unobservable Individual Effects
Abstract An important purpose in pooling time-series and cross-section data is to control for individual-specific unobservable effects which may be correlated with other explanatory variables, e.g.Expand
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Estimation and Inference in Nonlinear Structural Models
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Errors in Variables in Panel Data
Panel data based on various longitudinal surveys have become ubiquitous in economics in recent years. Expand
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Specification tests for the multinomial logit model
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Misclassification of the dependent variable in a discrete-response setting
Abstract Misclassification of dependent variables in a discrete-response model causes inconsistent coefficient estimates when traditional estimation techniques (e.g., probit or logit) are used. AExpand
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Assessing the potential demand for electric cars
An ordered logit specification for use on ranked individual data is used to analyze survey data on potential consumer demand for electric cars. Expand
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Contingent Valuation: Is Some Number Better than No Number?
Without market outcomes for comparison, internal consistency tests, particularly adding-up tests, are needed for credibility. When tested, contingent valuation has failed. Proponents find surveysExpand
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Exact Consumer's Surplus and Deadweight Loss
Consumer's surplus is a widely used tool in applied welfare economics. Both economic theorists and cost benefit analysis often use consumer's surplus despite its somewhat dubious reputation. TheExpand
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