Determinants of Household Income: A Quantile Regression Approach for Four Rice-Producing Areas in the Philippines
Valerien Pede (),
Joyce S. Luis,
Thelma R. Paris and
Justin McKinley
Asian Journal of Agriculture and Development, 2012, vol. 09, issue 2, 12
Abstract:
This paper investigates the determinants of total household income in selected rice-based farming villages in the Philippines. A quantile regression approach was applied on cross-section data obtained from 656 farming households across four provinces. Determinants of household income were examined using an ordinary quantile regression approach, which, unlike conditional mean regression, allows parameter variation across income quantiles. The quantile regression approach also enables the analysis of income determinants for extreme categories such as low-income households. Results indicate that coefficients estimated through ordinary least squares (OLS) could be misleading. The quantile estimates preserved their signs in most cases but their magnitude varied across quantiles. The paper particularly emphasizes the determinants of income for poor households. The quantile estimations show that education of the male head and the existence of migrant workers in households are the most important determinants of income for poor households.
Keywords: Agricultural and Food Policy; Agricultural Finance; Production Economics (search for similar items in EconPapers)
Date: 2012
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (5)
Downloads: (external link)
https://ageconsearch.umn.edu/record/199102/files/AJAD_2011_9_2_5Pede.pdf (application/pdf)
Related works:
Journal Article: Determinants of Household Income: A Quantile Regression Approach for Four Rice-Producing Areas in the Philippines (2012) 
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:ags:phajad:199102
DOI: 10.22004/ag.econ.199102
Access Statistics for this article
More articles in Asian Journal of Agriculture and Development from Southeast Asian Regional Center for Graduate Study and Research in Agriculture (SEARCA) Contact information at EDIRC.
Bibliographic data for series maintained by AgEcon Search ().