# Discussion: Economics Empirical Exercise Current Population Survey

Discussion: Economics Empirical Exercise Current Population Survey ORDER NOW FOR CUSTOMIZED AND ORIGINAL ESSAY PAPERS ON Discussion: Economics Empirical Exercise Current Population Survey Please help me to finish the question below. I also have a data file with the suffix .dta . It cannot be uploaded to studypool. Discussion: Economics Empirical Exercise Current Population Survey hw2_1_.pdf cps92_08_description.pdf cps92_08_description.pdf hw2_1_.pdf Homework 2 Empirical Exercise Stata Data set: CPS92_08.dta Data set Description: CPS92_08_Description.pdf 1. Use the 2008 data to construct a 95% confidence interval for the mean of real AHE for high school graduates. Construct a 95% confidence interval for the mean of real AHE for workers with a college degree. Test the difference between population means. 2. Did real (inflation-adjusted) wages of high school graduates increase from 1992 to 2008? Explain. Did real wages of college graduates increase? 3. Did the gap between earnings of college and high school graduates increase? Explain, using appropriate estimates, confidence intervals, test statistics, density analysis. Hint: to test the evolution of the gap, apply t-test technology to the differences of the 08 92 means Gapbh . The corresponding SE can be calculated as following ? Gapbh 08 92 08 92 SE (Gapbh ? Gapbh ) ? Var (Gapbh ) ? Var (Gapbh ) NOTE: When reporting your results you should provide the following: Stata command and output allowing to see how did you get your results; Answers to the question specifying the estimates of the parameters of interest, their statistical inference (significance level) and interpretation in real terms. Documentation for CPS92_08 Data Each month the Bureau of Labor Statistics in the U.S. Department of Labor conducts the Current Population Survey (CPS), which provides data on labor force characteristics of the population, including the level of employment, unemployment, and earnings. Approximately 65,000 randomly selected U.S. households are surveyed each month. Discussion: Economics Empirical Exercise Current Population Survey The sample is chosen by randomly selecting addresses from a database comprised of addresses from the most recent decennial census augmented with data on new housing units constructed after the last census. The exact random sampling scheme is rather complicated (first small geographical areas are randomly selected, then housing units within these areas randomly selected); details can be found in the Handbook of Labor Statistics and is described on the Bureau of Labor Statistics website (www.bls.gov). The survey conducted each March is more detailed than in other months and asks questions about earnings during the previous year. The file CPS92_08 contains the data for 1992 and 2008 (from the March 1993 and 2009 surveys). These data are for full-time workers, defined as workers employed more than 35 hours per week for at least 48 weeks in the previous year. Data are provided for workers whose highest educational achievement is (1) a high school diploma, and (2) a bachelors degree. Series in Data Set: FEMALE: 1 if female; 0 if male YEAR: Year AHE : Average Hourly Earnings BACHELOR: 1 if worker has a bachelors degree; 0 if worker has a high school degree Documentation for CPS92_08 Data Each month the Bureau of Labor Statistics in the U.S. Department of Labor conducts the Current Population Survey (CPS), which provides data on labor force characteristics of the population, including the level of employment, unemployment, and earnings. Approximately 65,000 randomly selected U.S. households are surveyed each month. The sample is chosen by randomly selecting addresses from a database comprised of addresses from the most recent decennial census augmented with data on new housing units constructed after the last census. Discussion: Economics Empirical Exercise Current Population Survey The exact random sampling scheme is rather complicated (first small geographical areas are randomly selected, then housing units within these areas randomly selected); details can be found in the Handbook of Labor Statistics and is described on the Bureau of Labor Statistics website (www.bls.gov). The survey conducted each March is more detailed than in other months and asks questions about earnings during the previous year. The file CPS92_08 contains the data for 1992 and 2008 (from the March 1993 and 2009 surveys). These data are for full-time workers, defined as workers employed more than 35 hours per week for at least 48 weeks in the previous year. Data are provided for workers whose highest educational achievement is (1) a high school diploma, and (2) a bachelors degree. Series in Data Set: FEMALE: 1 if female; 0 if male YEAR: Year AHE : Average Hourly Earnings BACHELOR: 1 if worker has a bachelors degree; 0 if worker has a high school degree Homework 2 Empirical Exercise Stata Data set: CPS92_08.dta Data set Description: CPS92_08_Description.pdf 1. Use the 2008 data to construct a 95% confidence interval for the mean of real AHE for high school graduates. Construct a 95% confidence interval for the mean of real AHE for workers with a college degree. Test the difference between population means. 2. Did real (inflation-adjusted) wages of high school graduates increase from 1992 to 2008? Explain. Did real wages of college graduates increase? 3. Did the gap between earnings of college and high school graduates increase? Discussion: Economics Empirical Exercise Current Population Survey Explain, using appropriate estimates, confidence intervals, test statistics, density analysis. Hint: to test the evolution of the gap, apply t-test technology to the differences of the 08 92 means Gapbh . The corresponding SE can be calculated as following ? Gapbh 08 92 08 92 SE (Gapbh ? Gapbh ) ? Var (Gapbh ) ? Var (Gapbh ) NOTE: When reporting your results you should provide the following: Stata command and output allowing to see how did you get your results; Answers to the question specifying the estimates of the parameters of interest, their statistical inference (significance level) and interpretation in real terms. Get a 10 % discount on an order above $ 100 Use the following coupon code : NURSING10