To test the effectiveness of a job training program on the subsequent wages of workers, we specify the model log(wage) = Bo + Bitrain + Bzeduc + B;exper + u, where train is a binary variable equal to...


To test the effectiveness of a job training program on the subsequent wages of workers, we specify the<br>model<br>log(wage) = Bo + Bitrain + Bzeduc + B;exper + u,<br>where train is a binary variable equal to unity if a worker participated in the program. Think of the<br>error term u as containing unobserved worker ability. If less able workers have a greater chance of<br>being selected for the program, and you use an OLS analysis, what can you say about the likely bias in<br>the OLS estimator of B,? (Hint: Refer back to Chapter 3.)<br>

Extracted text: To test the effectiveness of a job training program on the subsequent wages of workers, we specify the model log(wage) = Bo + Bitrain + Bzeduc + B;exper + u, where train is a binary variable equal to unity if a worker participated in the program. Think of the error term u as containing unobserved worker ability. If less able workers have a greater chance of being selected for the program, and you use an OLS analysis, what can you say about the likely bias in the OLS estimator of B,? (Hint: Refer back to Chapter 3.)

Jun 03, 2022
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