Experimental economists increasingly apply econometric techniques to interpret their data, as suggests the emergence of "experimetrics" in the 2000s. Yet statistics remains a minor topic in historical and methodological writings on experimental economics (EE). This article aims to address this...

Chapter 1 The Nature of EconometricsChapter 2 Simple Regression AnalysisChapter 3 Residual StatisticsChapter 4 Hypothesis TestingChapter 5 Multivariate RegressionChapter 6 Alternate Functional FormsChapter 7 Dichotomous VariablesChapter 8 The Classical Linear Regression ModelChapter 9...

We investigate the potential for Large Language Models (LLMs) to enhance scientific practice within experimentation by identifying key areas, directions, and implications. First, we discuss how these models can improve experimental design, including improving the elicitation wording, coding...

This paper examines the econometric causal model and the interpretation of empirical evidence based on thought experiments that was developed by Ragnar Frisch and Trygve Haavelmo. We compare the econometric causal model with two currently popular causal frameworks: the Neyman-Rubin causal model...

Experimental economists increasingly apply econometric techniques to interpret their data, as suggests the emergence of "experimetrics" in the 2000s. Yet statistics remains a minor topic in historical and methodological writings on experimental economics (EE). This article aims to address this...

Happiness research is on the rise, but is confounded by competing definitions of subjective well-being based on co-existing concepts, resulting in differing measures and giving rise to different potential policy applications. This paper motivates the societal necessity for using well-being...