Estimating an Earnings Function from Coarsened Data by an Interval Censored Regression Procedure. Data

Autor: Daniels, Reza C., Rospabe, Sandrine
Přispěvatelé: Development Policy Research Unit (DPRU), Faculty of Commerce
Jazyk: angličtina
Rok vydání: 2005
Předmět:
Popis: This paper estimates an earnings function where the dependent variable is a mix of point and interval data using an interval regression model based on a pseudo-maximum likelihood estimation procedure. The analysis uses the 1999 OHS, and takes into account point and interval income observations, as well as design features of the survey including stratification, clustering and weights.
Databáze: OpenAIRE