Francisco H. G. Ferreira, Sergio Firpo, and Antonio F. Galvao,
"Actual and Counterfactual Growth Incidence and Delta Lorenz Curves:
Estimation and Inference," Journal of Applied Econometrics,
Vol. 34, No. 3, 2019, pp. 385-402.

All files are ASCII files in DOS format and are zipped in the file
ffg-files.zip. Unix/Linux users should use "unzip -a".

Data:

Dataset "data_pnad.txt" contains data for PNAD. We use the following
variables for our analysis. Y (real_hrwage) denotes real hourly labor
earnings (sum of annual pretax wages, salaries, tips, and bonuses,
divided by the number of hours worked annually). The vector X consists
of ten covariates, namely: (i) the worker's age in years (age); (ii) a
gender dummy (female); (iii) a categorical variable for highest
educational level attained (educ) [six categories: primary, some high
school, high school, some college, college, and postgraduate]; (iv) a
categorical variable for race (race) [five categories: white, black,
Hispanic, Asian, and others], (v) a set of state dummies (state); (vi)
a categorical variable for location (metropolitan and rural) (rural
and metropolitan, with urban as base category); (vii) a dummy for
marital status (married); (viii) a dummy for public sector (public);
(ix) a set of dummies comprising 13 occupations (codocup); and (x) a
set of dummies comprising 12 industries (industry).

Dataset "data_cps.txt" contains data on the same variables data for CPS.

Codes:

Application_PNAD.R and Application_CPS.R replicate the results in
Table 3 of the paper for the PNAD and CPS, respectively.