Methodological codes for the article “Identification of earnings dynamics using rotating samples over short periods: the case of Chile”, by Carlos Madeira, 2025

Published: 5 September 2025| Version 1 | DOI: 10.17632/2hvnyjm55j.1
Contributor:
Carlos Madeira

Description

These codes use the original sources of data to add in replicating the article. These codes focus on formatting the raw datasets, estimating the employment transitions, income growth and volatility for each year-quarter period. The codes have algorithms that are repeated for each dataset of the ENE (Chilean Labor Force Survey) and its income module in the 4th quarter of each year (Chilean Income and Labor Survey). At the end the codes collect all the year-quarter statistics and compile them in a single panel dataset for all demographic groups.

Files

Steps to reproduce

Users must run the main codes (M_(...).do) in the folder "Main". These codes call sequentially all the required algorithms that format the data and estimate the earnings model parameters.

Categories

Employment, Unemployment, Demographics, Business Cycle, Wage Differential, Inequality, Labor Market

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