Simioni, Michel, Thomas-Agnan, Christine and Trinh, Thi Huong (2017) Calorie intake and income in China: New evidence using semiparametric modelling with generalized additive models. TSE Working Paper, n. 17-826, Toulouse

[thumbnail of wp_tse_826.pdf]
Download (662kB) | Preview


Recent research on calorie intake and income relationship abounds with parametric models but usually gives inconclusive results. Our paper aims at contributing to this literature by using recent advances in the estimation of generalized additive models with penalized spline regression smoothing (GAM). These semi-parametric models enable mixing parametric and nonparametric functions of explanatory variables and enlarge the distribution of the response variable. The revealed performance test (Racine and Parmeter, 2014), supported by simulation data, shows that GAM models outperform the parametric models. Using data from CHNS in 2006, 2009 and 2011, we find a positive and statistically significant relationship between household calorie intake and household income for the poor. Then the impact of increasing income on calorie consumption slows down for the middle class and the rich. In addition, we find that income-calorie elasticities are generally small, ranging from 0.07 to 0.12.

Item Type: Monograph (Working Paper)
Sub-title: New evidence using semiparametric modelling with generalized additive models
Language: English
Date: July 2017
Place of Publication: Toulouse
Uncontrolled Keywords: Calorie intake and income, generalized additive models, CHNS data, revealed performance test, cross validation procedure
Divisions: TSE-R (Toulouse)
Institution: Université Toulouse 1 Capitole
Site: UT1
Date Deposited: 16 Apr 2018 15:11
Last Modified: 02 Apr 2021 15:57
OAI Identifier:
View Item


Downloads per month over past year