Factors Affecting the Income of Rural Households in the Midlands and the Northern Mountains, Vietnam: Evidence from Quantile Regression

To study the factors affecting the income of rural households in the Northern Midlands and Mountainous regions, Vietnam using both OLS regression methods and quantile regression at the same time, the analysis was based on the tabular dataset of 2,630 households filtered from the Vietnam Rural Household Resource Access Survey (VARHS) 2010 – 2018. The results show that gender, age, education and savings have a significant impact on household income, with gender disparities particularly pronounced in the lower income segments. Age of the household head has a positive impact on household income, but the magnitude of the effect is not large and varies by economic group. In addition, the role of ethnicity becomes more important in high-income segments, suggesting that access to resources and opportunities varies between social groups.