1. Introduction and Overview. 2. Detecting Influential Observations and Outliers. 3. Detecting and Assessing Collinearity. 4. Applications and Remedies. 5. Research Issues and Directions for Extensions. Bibliography. Author Index. Subject Index.

Regression Diagnostics: Identifying Influential Data and Sources of Collinearity

Prediction of firm-level technical efficiencies with a generalized frontier production function and panel data

The Theory of Monopolistic Competition.

Advanced Statistical Methods in Biometric Research.

The Econometrics of Panel DataSpringer Handbook of Science and Technology IndicatorsPanel Data EconometricsThe Econometrics of Panel DataA Practitioner's Guide to Stochastic Frontier Analysis Using StataBenchmarking for Performance EvaluationEssays on Microeconomics and Industrial OrganisationHealth System EfficiencyInternational Journal of Production EconomicsEconometric Analysis of Model Selection and Model TestingInternational Applications of Productivity and Efficiency AnalysisAdvanced Robust and Nonparametric Methods in Efficiency AnalysisEconometrics and the Philosophy of EconomicsThe Measurement of Productive EfficiencyMeasuring Efficiency in Health CareFinancial, Macro and Micro Econometrics Using REconometric Analysis of Cross Section and Panel DataApplied EconometricsProductivity and Efficiency AnalysisEconometric Model SelectionProductivity and Efficiency AnalysisStochastic Frontier AnalysisThe Oxford Handbook of Health EconomicsThe Measurement of Productive Efficiency and Productivity GrowthNew Directions in Productivity Measurement and Efficiency AnalysisA Primer on Efficiency Measurement for Utilities and Transport RegulatorsPanel Data EconometricsProduction and Efficiency Analysis with RApplications of Modern Production TheoryThe Measurement of Productive EfficiencyNonparametric Econometric Methods and ApplicationAn Introduction to Efficiency and Productivity AnalysisHealth, the Medical Profession, and RegulationThe Analysis of Household SurveysData Envelopment AnalysisProgramming Collective IntelligenceEfficiency AnalysisProductivity and Efficiency AnalysisMeasurement of Productivity and EfficiencyProduction Frontiers

The Econometric Approach to Efficiency Analysis

A Monte Carlo study of estimators of stochastic frontier production functions

The paper did not originally have an abstract. It explores the robustness of hedonic pricing estimation, focusing on four areas: 1) variable selection and treatment, 2) measurement error, 3) functional form, and 4) error distribution. The paper offers insights to guide the future conduct of hedonic environmental benefit studies.

The Robustness of Hedonic Price Estimation: Urban Air Quality

https://pages.stern.nyu.edu/~wgreene/FrontierModeling/Reference-Papers/Waldman-JE1982-ResidualsSkewness.pdf

A stationary point for the stochastic frontier likelihood

Theoretical and empirical problems with hedonic benefit estimation (Rosen 1974) are becoming increasingly apparent (see, e.g., Atkinson and Crocker 1987; Bartik and Smith 1984; Horowitz 1984; Butler 1982; Roback 1982; Rosen 1979). However, there has been no systematic comparative analysis, using a single data set, of the relative magnitudes of the potential inaccuracy caused by individual problems. In this paper we utilize a detailed data set to address four issues: (1) variable selection and treatment, (2) measurement error, (3) functional form, and (4) error distribution. In particular, this research explores the robustness of hedonic-based estimates of mar-

The robustness of hedonic price estimation: urban air quality

SUMMARY This study investigates the effect of survey mode on respondent learning and fatigue during repeated choice experiments. Stated preference data are obtained from an experiment concerning high-speed Internet service conducted on samples of mail respondents and online respondents. We identify and estimate aspects of the error components for different subsets of the choice questions, for both mail and online respondents. Results show mail respondents answer questions consistently throughout a series of choice experiments, but the quality of the online respondents’ answers declines. Therefore, while the online survey provides lower survey administration costs and reduced time between implementation and data analysis, such benefits come at the cost of less precise responses. Copyright  2008 John Wiley & Sons, Ltd. Stated preference (SP) data are used extensively by economists, marketers, and policy makers to estimate individual’s willingness to pay for multidimensional goods not traded in markets. SP data are often obtained from respondent choices in experiments administered through informal ‘pencil and paper’ surveys mailed to sample populations. When designing choice experiments, researchers pay careful attention to the number of alternatives the respondent can choose from, the number of attributes used to describe alternatives, appropriate wording of attribute descriptions, and the number of choice scenarios (or question replications) per respondent. Given the relatively high cost of developing and administering a statistically appropriate mail survey instrument, researchers often trade off aspects of choice task complexity with sample size and survey response quality. For instance, a relatively small sample of respondents may be asked to answer repeated choice questions to simultaneously reduce data collection costs and increase the number of observations available for estimation of marginal utilities. If respondents learn about their preferences and become more proficient at the choice task as they move through more question occasions, the quality of the data improves. Alternatively, multiple question occasions may induce fatigue or boredom. If respondents become tired or bored as they move through the repeated choice questions, the quality of the data deteriorates. Given the tradeoffs described above it is not surprising that recent rapid growth in US Internet penetration has corresponded with greater interest in online or ‘web’ surveys administered through the Internet and other networks. Compared to traditional telephone and mail survey modes, online surveys have low marginal costs of providing completed surveys and reduced time between survey

Donald M. Waldman

Papers

A Monte Carlo study of estimators of stochastic frontier production functions

The Robustness of Hedonic Price Estimation: Urban Air Quality

A stationary point for the stochastic frontier likelihood

The robustness of hedonic price estimation: urban air quality

Learning and fatigue during choice experiments: a comparison of online and mail survey modes