Estimation of Systems of Regression Equations with Unbalanced Panel Data and Random Effects: Modelling Food-Expenditure Shares in Vietnamese Households

Minh Nguyen and Hoa Bao Nguyen
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Hoa Bao Nguyen: World Bank

Chapter Chapter 20 in Applied Econometric Analysis Using Cross Section and Panel Data, 2023, pp 609-625 from Springer

Abstract: Abstract The paper develops an econometrics framework and describes its associated Stata command, xtsur, for the estimation of a system of seemingly unrelated regression equations with unbalanced panel data and random effects. The paper applies xtsur to estimate Vietnam’s household demand system, expenditure and own-price elasticities for seven different food categories. The application analyzes Vietnam’s food consumption behavior using an unbalanced panel of Vietnam’s Household Living Standards Surveys (VHLSS) conducted in 2002, 2004, and 2006. Our results suggest that income elasticities are positive and own-price elasticities are negative as expected. Household characteristics such as household head’s age, marital status, education, household size, household location (urban/rural), ethnicity and poverty status appear to affect food group consumption significantly. Households with a larger size or poverty status tend to consume more necessities such as rice, cereal and other starches while consuming less of meat, fruits, and dairy products. These results highlight empirical evidence for policy-makers to make useful food policy recommendations in Vietnam.

Keywords: One-way random effects; Unbalanced panel data; Generalized least squares; Maximum likelihood estimation; Almost ideal demand system; SUR model; xtsur (search for similar items in EconPapers)
Date: 2023
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Persistent link: https://EconPapers.repec.org/RePEc:spr:conchp:978-981-99-4902-1_20

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DOI: 10.1007/978-981-99-4902-1_20

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