Title: FACTORS AFFECTING HOUSEHOLD INCOMES IN THE CENTRAL HIGHLANDS, VIETNAM: EVIDENCE FROM QUANTILE REGRESSION
Authors:
Tran Minh Son, Nguyen Thi Ngoc Dieu, Nguyen Thanh Trong and Nguyen Hong Ha
Abstract:
The paper studies the factors affecting the income of rural households in Vietnam in the Central Highlands, Vietnam. The study used both OLS regression methods and analytic percentile regression on a table dataset of 1,375 rural households in the Central Highlands from the Vietnam Rural Household Resource Access Survey (VARHS) in the period 2010 – 2018. The OLS regression method aims to determine the factors affecting the average income of households, the percentile regression method aims to determine the factors affecting the income of rural households on different percentiles. The results of the OLS regression estimate show that the group of social capital factors, the gender of the head of household plays an important role in household income. The results obtained in the percentile regression method show that there is a significant difference with the results of the OLS regression method on different micro tiles, especially male heads of households have a strong impact on income for low-income households in the 10% and 25% percentiles. The educational and religious level of the head of the household and the number of organizations that the household participates in are factors that strongly affect the income of households from low to high percentiles.
Keywords: Quantile regression, income, rural household.
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