Abstract
Recent research studied how relative salary affects job satisfaction. It gave a random sample of University of California employees information about their coworkers’ salaries and estimated the effect of this information on job satisfaction. This article suggests ways the dataset created by this research can be used in econometrics and statistics classes. It provides examples using these data to calculate frequency distributions, contingency tables, Chi-square tests, and linear probability models. It also explains how these examples can be used productively in class.
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