基于NHANES数据的肥胖动态估计:一种伪面板方法

A Dynamic Estimation of Obesity Using Nhanes Data: A Pseudo‐Panel Approach

Health Economics · 2017
被引 31
人大 A-ABS 3

中文导读

利用伪面板数据动态估计Grossman人力资本模型,发现工资对肥胖有促进作用,且过去健康状况会逆转工资的保护效应,高收入者可能通过减少特定营养素但增加总热量摄入来补偿。

Abstract

In this analysis, we examine the effect of wages on obesity by constructing pseudo-panels to conduct a dynamic estimation of Grossman's human capital model. The results indicate that wages have an increasing effect on obesity status. After accounting for past health status, the protective effect of wages commonly disseminated in the literature reverses on obesity status. The results may also indicate possible asymmetric consumption behavior between foods/nutrients that improve diet quality versus those that degrade it. Individuals may be more keen to adhere to prophylactic diet strategies that abate consumption of unhealthy food/nutrients rather than measures which increase healthy nutrient consumption. Additionally, wages have an increasing effect on overall total calories consumed. These findings suggest that higher wage earners may focus their diet efforts on reducing consumption of specific nutrients but compensate by overconsuming other types of nutrients increasing overall calorie intake. Copyright © 2017 John Wiley & Sons, Ltd.

工资肥胖伪面板Grossman人力资本模型