This note provides an introduction to two prominent econometric benchmarking methods: Data Envelopment Analysis and Stochastic Frontier Analysis. It discusses the econometric techniques, provides a practical example using the World Bank's Enterprise Survey data, and offers conclusions for...

The past half‐century has seen economic research become increasingly empirical, while the nature of empirical economic research has also changed. In the 1960s and 1970s, an empirical economist's typical mission was to "explain" economic variables like wages or GDP growth. Applied econometrics...

This paper estimates peer effects in a university context where students are randomly assigned to sections. While students benefit from better peers on average, low-achieving students are harmed by high-achieving peers. Analyzing students' course evaluations suggests that peer effects are driven...

Advances in the study of partial identification allow applied researchers to learn about parameters of interest without making assumptions needed to guarantee point identification. We discuss the roles that assumptions and data play in partial identification analysis, with the goal of providing...

Bayesian Model Averaging (BMA) is a common econometric tool to assess the uncertainty regarding model specification and parameter inference and is widely applied in fields where no strong theoretical guidelines are present. Its major advantage over single-equation models is the combination of...

Introduction to econometrics -- Simple regression -- Multiple regression -- Generalizing from a sample -- Properties of our estimators -- Hypothesis testing and confidence intervals -- Predicting in a nonlinear world -- Best of blue I : cross section data and heteroskedasticity (assumption CR2)...

Machine generated contents note: -- Chapter 1 The Quest for Causality -- Chapter 2 Stats in the Wild: Good Data Practices -- Part I The OLS Framework -- Chapter 3 Bivariate OLS: The Foundation of Econometric Analysis -- Chapter 4 Hypothesis Testing and Interval Estimation: Answering Research...

I review recent work in the statistics literature on instrumental variables methods from an econometrics perspective. I discuss some of the older, economic, applications including supply and demand models and relate them to the recent applications in settings of randomized experiments with...

In vier Kapiteln beschreibe ich, wie Qualitätssignale die Wahrnehmung der Produkte im Kaufentscheidungsprozess beeinflussen. Aus meinen Ergebnissen leite ich Managementimplikationen und Vorschläge für die weitere Forschung ab. Ich konzentriere mich bei meinen Studien auf die Analyse und den...