labour market discrimination

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Extensionidea.docx

Extension idea:

1. How has racial discrimination varied over time in the US?

(how hourly wages change for each person over time)

Data set: NLSY79

· Method: random effect OLS

· Classify the years into different cohorts

· Only use the data for male (excluding all females)

· Only use the data for Blacks and Whites (excluding all other races)

· Standardize the AFQT scores

· Reshape the data to make one observation represents one individual

(use the command: keep hwage person year afqt race gender

reshape wide hwage, i(person) j(year)

order person gender race afqt hwage* )

Identify: How many individuals? (black/white) (tabulate)

What are their characteristics?

Histogram afqt if gender==1, by(race) (comment on this)

How do their wage change over time?)

· Dependent variables: log of hourly wage

· Independent variables: black (dummy), AFQT, age…

2. How is racial discrimination in the labor market differs between men and women in the U.S.?

Data set: NLSY79

· Method: random effect OLS

· Only use the data for Blacks and Whites (excluding all other races)

· Reshape the data to make one observation represents one individual

keep hwage person year afqt race gender

reshape wide hwage, i(person) j(year)

order person gender race afqt hwage* )

· Dependent variables: log of hourly wage

· Independent variables: black (dummy), female (dummy), AFQT, age…