| Abstract: | This paper examines the causal relationship between wages and quits in U.S. manufacturing industries. Logit and regression models then relate causality test results to industrial characteristics. Once these relationships are identified, they can be used to predict the causality classification for each industry, based on the characteristics of that industry. This technique can help the researcher choose the appropriate theoretical model for analysis. One finding is that quits respond to wages in most industries, but not in industries with highly skilled workforces. |
