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Showing 1 to 14 of 14 data sets matching wages
Data Set/Description Owner Last edited Size Views
Marriage vs The Economy
Comparing numbers of marriages in the last 30 years to the following factors of the economy: GDP Growth, Unemployment rate, Median Hourly Wages, and Total National Student Aid and Loans
sma25908Oct 24, 20181KB560
Right out of College Women Make About $3 Less Per Hour than Men
Young men (age 21–24) with a college degree are paid an average hourly wage of $20.87 early in their careers; their female counterparts are paid an average hourly wage of just $17.88
treilandJun 7, 20175KB480
CPS wage data from 1985
These data consist of a random sample of 534 persons from the Current Population Survey, with information on wages and other characteristics of the workers. Source: Berndt, ER. The Practice of Econometrics. 1991. NY: Addison-Wesley.
ColumnDescription
EducationNumber of years of education
SouthIndicator variable for Southern Region: (1=Person lives in South, 0=Person lives elsewhere)
SexIndicator variable for sex (1=Female, 0=Male)
ExperienceNumber of years of work experience
UnionIndicator variable for union membership (1=Union member,0=Not union member)
Wage Wage in dollars per hour
AgeAge in years
RaceCategorical variable for race (1=Other, 2=Hispanic, 3=White)
OccupationCategorical variable for occupation (1=Management,2=Sales, 3=Clerical, 4=Service, 5=Professional, 6=Other)
SectorCategorical variable for sector (0=Other, 1=Manufacturing, 2=Construction)
MarrIndicator variable for marital status (0=Unmarried, 1=Married)
sampleuserMay 25, 200714KB1356
Wages and Hours
The data are from a national sample of 6000 households with a male head earning less than $15,000 annually in 1966. The data were clasified into 39 demographic groups for analysis. The study was undertaken in the context of proposals for a guaranteed annual wage (negative income tax). At issue was the response of labor supply (average hours) to increasing hourly wages. The study was undertaken to estimate this response from available data [ Regression , Outlier , Collinearity , Assumptions, regression]
VariableDescription
HRSAverage hours worked during the year
WAGE Average hourly wage ($)
ERSP Average yearly earnings of spouse ($)
ERNO Average yearly earnings of other family members ($)
NEIN Average yearly non-earned income
ASSET Average family asset holdings (Bank account, etc.) ($)
AGE Average age of respondent
DEP Average number of dependents
RACEPercent of white respondents
SCHOOL Average highest grade of school completed
ds-231%scAug 11, 20082KB1575
CPS wage data from 1985
These data consist of a random sample of 534 persons from the Current Population Survey, with information on wages and other characteristics of the workers. Source: Berndt, ER. The Practice of Econometrics. 1991. NY: Addison-Wesley.
ColumnDescription
EducationNumber of years of education
SouthIndicator variable for Southern Region: (1=Person lives in South, 0=Person lives elsewhere)
SexIndicator variable for sex (1=Female, 0=Male)
ExperienceNumber of years of work experience
UnionIndicator variable for union membership (1=Union member,0=Not union member)
Wage Wage in dollars per hour
AgeAge in years
RaceCategorical variable for race (1=Other, 2=Hispanic, 3=White)
OccupationCategorical variable for occupation (1=Management,2=Sales, 3=Clerical, 4=Service, 5=Professional, 6=Other)
SectorCategorical variable for sector (0=Other, 1=Manufacturing, 2=Construction)
MarrIndicator variable for marital status (0=Unmarried, 1=Married)
mystatcourseAug 10, 200815KB520
Wages and Hours
Reference: D.H. Greenberg and M. Kosters, Income Guarantees and the Working Poor, The Rand Corporation (R-579-OEO), December, 1970.
Authorization: free use
Description: The data are from a national sample of 6000 households with a male head earning less than $15,000 annually in 1966. The data were clasified into 39 demographic groups for analysis. The study was undertaken in the context of proposals for a guaranteed annual wage (negative income tax). At issue was the response of labor supply (average hours) to increasing hourly wages. The study was undertaken to estimate this response from available data
Number of cases: 39
Variable Names:
HRS: Average hours worked during the year
WAGE: Average hourly wage ($)
ERSP: Average yearly earnings of spouse ($)
ERNO: Average yearly earnings of other family members ($)
NEIN: Average yearly non-earned income
ASSET: Average family asset holdings (Bank account, etc.) ($)
AGE: Average age of respondent
DEP: Average number of dependents
RACE: Percent of white respondents
SCHOOL: Average highest grade of school completed
ds-12%scAug 11, 20082KB473
Illinois Housing
By-county comparison of rental costs and minimum wages
hcrusselAug 21, 20074KB79
Lathrop Worker Wages
Data on the average weekly earnings of hospital workers versus workers in all other service-providing industries.
matthew.lathropOct 3, 2016130B111
Wages.csvcorp_richardNov 9, 2017199KB10
Wages.csvcorp_richardNov 9, 2017266KB6
RN wagesJaleigh23%scDec 3, 2006131B31
wages data.csvbenprytherchMay 11, 20141KB23
all wagesdurskiashleyDec 5, 2016640B16
2012 March Census & BLS Hourly Wages Sample (20-40 age group)stedmantNov 12, 2015284B16


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