Econ142_spring2008_problemset_1 - Econ C142 Applied...

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Econ C14 2 – Applied Econometrics and Public Policy Spring 200 8 UC Berkeley Department of Economics Andrea Weber Applied Exercise #1 Due Thurs day 02/21 /0 8 – The focus of this exercise is on the relationship between educational attainment and ea rnings. It examines statistics that summarize the relationship between two random variables , the bivariate linear regression model , and the multivariate linear regression model. Feel free to work cooperatively and in groups. However, each student must han d in their own problem set using own words to explain the results. Try to summarize the answers/results concisely. STATA output may be attached to the end of the problem set for partial credit. Data: The data is an extract of a 1992 survey of German worke rs. It comes from the paper by John DiNardo and Steven Pischke The returns to computer use revisited: Have pencils c hanged the wage structure too?" (1997) . For more information s ee the reference to the paper on the reader. Access the data on bspace site f or Econ C142 : problem set 1/ restricted92.dta (STATA 9 format) . The data set has 20,042 observations and 1 9 variables . The unit of observation is the individual. The key variables for this exercise are: - ed completed years of education - e xp and e xp2 ye ars of labor market experience and its square (experience²) - fe m ale indicator variable equal to 1 if the person is fe male - mar indicator variable equal to 1 if the person is married - computer indicator variable equal to 1 if the individual uses a compu ter at work - pencil indicator variable equal to 1 if the individual uses a pencil at work - telefon indicator variable equal to 1 if the individual uses a telefon at work - calc indicator variable equal to 1 if the individual uses a calculator at work - h ammer indicator variable equal to 1 if the individual uses a hammer at work -
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