nswproject dataset

Training and earnings

Training and earnings

Data from the National Supported Work (NSW) demonstration project used by Lalonde (1986), and Dehejia and Wahba (1999, 2002). This sample has 185 observations in the treatment group and 2490 in the control group. The treatment sample consists of males who received training during 1976-1977. THe control group consists of male household heads under the age of 55 who are not retired, drawn from the PSID (Cameron and Trivedi, 2005). data

Format

A data frame with 2675 observations and 18 variables:

  • treat: = 1 if individual is in treatment group, = 0 if in control group
  • age: age in years
  • educ: education in years
  • black: = 1 if black
  • hisp: = 1 if hispanic
  • marr: = 1 if married
  • re74: real annual earnings in 1974 (pre-treatment), in 1982 usd
  • re75: real annual earnings in 1975 (pre-treatment), in 1982 usd
  • re78: real annual earnings in 1978 (post-treatment), in 1982 usd
  • u74: = 1 if unemployed in 1974
  • u75: = 1 if unemployed in 1975
  • agesq: age squared
  • educsq: educ squared
  • nodegree: = 1 if years of education < 12
  • re74sq: re74 squared
  • re75sq: re75 squared
  • u74black: interaction term u74 x black
  • u74hisp: interaction term u74 x hisp

Source

http://cameron.econ.ucdavis.edu/mmabook/mmadata.html

nswproject

Section in Text

25.8 Treatment Evaluation Example: The Effect of Training on Earnings, pp. 889-95

Examples

summary(nswproject)

References

Cameron, A. and Trivedi, P. (2005), "Microeconometrics: Methods and Applications," Cambridge University Press, New York.

Dehejia R. and Wahba S. (1999), "Causal Effects in Nonexperimental Studies: Reevaluating the Evaluation of Training Programs," JASA, 1053-1062.

Dehejia R. and Wahba S. (2002), "Propensity-score Matching Methods for Nonexperimental Causal Studies", ReStat, 151-161

Lalonde, R. (1986), "Evaluating the Econometric Evaluations of Training Programs with Experimental Data," AER, 604-620.

  • Maintainer: Juliana Vega-Lacorte
  • License: CC BY 4.0
  • Last published: 2022-03-21

About the dataset

  • Number of rows: 2675
  • Number of columns: 18
  • Class: tbl_df, tbl, data.frame

Column names and types (First 10)

  • treat:numeric
  • age:numeric
  • educ:numeric
  • black:numeric
  • hisp:numeric
  • marr:numeric
  • re74:numeric
  • re75:numeric
  • re78:numeric
  • agesq:numeric