Stata question

profiledavidchou5288
dat.rar

CPS_replicate.pdf

Documentation for CPS_replicate 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. 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 statistics in Table 3.1 were

computed using the March surveys. The CPS earnings data are for full-time workers,

defined to be somebody employed more than 35 hours per week for at least 48 weeks in

the previous year.

Series in Data Set:

A_SEX: 1 if male; 2 if female

YEAR: Survey Year

AHE04: Average Hourly Earnings in $2004

CPS08.dta

CPS08_Description.pdf

Documentation for CPS08 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. 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 CPS08 contains the data for

2008 (from the March 2009 survey). 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 bachelor’s degree.

Series in Data Set:

FEMALE: 1 if female; 0 if male

YEAR: Year

AHE : Average Hourly Earnings

BACHELOR: 1 if worker has a bachelor’s degree; 0 if worker has a high school degree

TUITION.csv

School In08 In11 Out08 Out11
Arizona 5542 9286 18676 25496
Buffalo 6285 7482 12545 16932
Cal-Berkeley 7656 12834 28264 35712
Cal-Davis 8635 13860 29243 36738
Cal-Irvine 8046 13122 28654 36000
Cal-San Diego 8062 13200 28673 36078
Colorado 7278 9152 26756 30330
Florida 3778 5657 20623 27934
Georgia Tech 6040 9652 25182 27862
Illinois 12106 13838 25890 27980
Indiana 8231 9524 24769 29540
Iowa 6544 7765 20658 25099
Iowa State 6360 7486 17350 19358
Kansas 7042 9222 17119 22608
Maryland 8005 8655 23075 26026
Michigan 11738 12634 33069 37782
Michigan State 10214 12202 25672 31148
Minnesota 10756 13022 14756 18022
Missouri 8467 8989 19588 21784
Nebraska 6584 7563 17204 19848
North Carolina 5397 7009 22295 26834
Ohio State 8679 9735 21918 24630
Oregon 6435 8789 19992 27653
Penn State 13706 15984 24940 28066
Pittsburgh 13642 16132 23290 25540
Purdue 7750 9478 23224 27646
Rutgers 11540 12754 21488 25416
Texas 8532 9794 27760 32506
Texas A&M 7844 8421 22184 23811
UCLA 7551 12686 27572 35564
Virginia 9300 11786 29600 36780
Washington 6802 10574 23219 28058
Wisconsin 7564 9665 21814 25415

COLLDIST.dta

COLLDIST_Description.pdf

Documentation for CollegeDistance Data

These data are taken from the HighSchool and Beyond survey conducted by the

Department of Education in 1980, with a follow-up in 1986. The survey included

students from approximately 1100 high schools.

The data used here were supplied by Professor Cecilia Rouse of Princeton University and

were used in her paper “Democratization or Diversion? The Effect of Community

Colleges on Educational Attainment,” Journal of Business and Economic Statistics, April

1995, Vol. 12, No. 2, pp 217-224.

The data in CollegeDistance exclude students in the western states. The data in

CollegeDistanceWest includes only those students in the western states.

Series in Data Set

Name Description

ed Years of Education Completed (See below)

female 1 = Female/0 = Male

black 1 = Black/0 = Not-Black

Hispanic 1 = Hispanic/0 = Not-Hispanic

bytest Base Year Composite Test Score. (These are achievement tests given to high

school seniors in the sample)

dadcoll 1 = Father is a College Graduate/ 0 = Father is not a College Graduate

momcoll 1 = Mother is a College Graduate/ 0 = Mother is not a College Graduate

incomehi 1 = Family Income > $25,000 per year/ 0 = Income ≤ $25,000 per year.

ownhome 1= Family Owns Home / 0 = Family Does not Own Home

urban 1 = School in Urban Area / = School not in Urban Area

cue80 County Unemployment rate in 1980

stwmfg80 State Hourly Wage in Manufacturing in 1980

dist Distance from 4yr College in 10's of miles

tuition Avg. State 4yr College Tuition in $1000's

Years of Education: Rouse computed years of education by assigning 12 years to all

members of the senior class. Each additional year of secondary education counted as a

one year. Students with vocational degrees were assigned 13 years, AA degrees were

assigned 14 years, BA degrees were assigned 16 years, those with some graduate

education were assigned 17 years, and those with a graduate degree were assigned 18

years.