scholarly journals Changes in Wage Structure in Urban India, 1983–2004: A Quantile Regression Decomposition

2012 ◽  
Vol 40 (6) ◽  
pp. 1135-1150 ◽  
Author(s):  
Mehtabul Azam
Keyword(s):  
Quantile Regression ◽  
Wage Structure ◽  
Urban India ◽  
Quantile Regression Decomposition ◽  
Regression Decomposition

scholarly journals A quantile regression decomposition of urban–rural inequality in Vietnam

2007 ◽  
Vol 83 (2) ◽  
pp. 466-490 ◽  
Author(s):  
Binh T. Nguyen ◽  
James W. Albrecht ◽  
Susan B. Vroman ◽  
M. Daniel Westbrook
Keyword(s):  
Quantile Regression ◽  
Urban Rural ◽  
Quantile Regression Decomposition ◽  
Regression Decomposition

Charcoal production and household welfare in Uganda: a quantile regression approach

2013 ◽  
Vol 18 (5) ◽  
pp. 537-558 ◽  
Author(s):  
John Herbert Ainembabazi ◽  
Gerald Shively ◽  
Arild Angelsen
Keyword(s):  
Quantile Regression ◽  
Household Income ◽  
Parametric Method ◽  
Natural Forests ◽  
Charcoal Production ◽  
Regression Approach ◽  
Heterogeneous Effect ◽  
Productive Assets ◽  
Quantile Regression Decomposition ◽  
Regression Decomposition

AbstractPrevious research suggests that forest-dependent households tend to be poorer than other groups, and that extreme reliance on forest resources might constitute a poverty trap. We provide an example in which a non-timber forest product – charcoal – appears to be providing a pathway out of poverty for some rural households in Uganda. Data come from households living adjacent to natural forests, some of whom engage in charcoal production. We use a semi-parametric method to identify the determinants of participation in charcoal production and a quantile regression decomposition to measure the heterogeneous effect of participation on household income. We find that younger households and those with few productive assets are more likely to engage in charcoal production. We also show that, as a result of their participation, charcoal producers are better off than non-charcoal producers in terms of income, even though they are worse off in terms of productive assets.

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

2019 ◽  
pp. 1-14
Author(s):  
Pujan Adhikari ◽  
Kishor KC ◽  
Siddha Raj Bhatta
Keyword(s):  
Quantile Regression ◽  
Informal Sector ◽  
Wage Structure ◽  
Maximum Effect ◽  
Formal Sector ◽  
Market Returns ◽  
Agriculture Sector ◽  
Wage Returns ◽  
Return To Schooling ◽  
Experience Effect

 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.

scholarly journals Quantile Regression under Misspecification, with an Application to the U.S. Wage Structure

Econometrica ◽  
2006 ◽  
Vol 74 (2) ◽  
pp. 539-563 ◽  
Author(s):  
Joshua Angrist ◽  
Victor Chernozhukov ◽  
Ivan Fernandez-Val
Keyword(s):  
Quantile Regression ◽  
Wage Structure ◽  
The U.S
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