Does Education and Experience Matter in the Distribution of Wages in Nepal? A Quantile Regression Approach

Authors

  • Pujan Adhikari Tribhuvan University
  • Kishor KC Central Bureau of Statistic
  • Siddha Raj Bhatta Nepal Rastra Bank

DOI:

https://doi.org/10.3126/ejdi.v28i1-2.33193

Keywords:

Returns to Schooling, Experiences, Wages, Quantile Regression

Abstract

 Labor market returns depend on the level of education as well as experience of the labors. Though education is argued to be the key determinant of wage rate, other factors such as the sector of employment, gender of the employee, marital status and work industry also matter. This paper investigates the returns from years of schooling and experience by examining the wage structure in formal, informal and agriculture sectors of Nepal. The Mincerion wage equation and quantile regression technique has been used to analyze such impact by utilizing the recent labor force survey data of Nepal. Our results show that wage returns are positively associated with schooling in all the three sectors. However, return to experience has negative association in case of agriculture sector. Furthermore, return to schooling has higher impact at higher quantile along with the distribution of wages in formal sector and informal sector. The maximum effect of education is 4 percent at 0.90 quantile in formal sector. An additional year of experience has high impact at lower-wage group in case of informal and formal sector. The effect varies from 9.2 percent at 0.1 quantile and 4.9 percent at 0.9 quantile in formal sector. The experience effect is higher at median (4.06 percent) in case of informal sector.

Downloads

Download data is not yet available.
Abstract
374
pdf
318

Author Biographies

Pujan Adhikari, Tribhuvan University

Lecturer

Kishor KC, Central Bureau of Statistic

Statistics Officer

Siddha Raj Bhatta, Nepal Rastra Bank

Deputy Director

Downloads

Published

2019-12-04

How to Cite

Adhikari, P., KC, K., & Bhatta, S. R. (2019). Does Education and Experience Matter in the Distribution of Wages in Nepal? A Quantile Regression Approach. Economic Journal of Development Issues, 28(1-2), 1–14. https://doi.org/10.3126/ejdi.v28i1-2.33193

Issue

Section

Articles