Effects of National Health Insurance on precautionary saving: new evidence from Taiwan

Kuan, Chung‐Ming; Chen, Chien-Liang

doi:10.1007/s00181-011-0533-5

Cited by 11 publications

(2 citation statements)

References 18 publications

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“…The present study contributes to the existing literature in three ways. First, although numerous studies have investigated the effects of medical insurance on medical service utilization (Wagstaff et al, 2007;Ma, 2022), OOP medical expenses (Lindelow and Wagstaff, 2005;Wagstaff et al, 2007;Huang and Gan, 2010), total household consumption (Gruber and Yelowitz, 1999;Wagstaff and Pradhan, 2005;Zang et al, 2012), and the crowding out effect associated with precautionary saving (Chou et al, 2004;Bai et al, 2012;Kuan and Chen, 2013) in China and other countries, scant empirical research has been conducted to demonstrate either how medical insurance reforms impact medical and nonmedical consumption or how such reforms impact particular types of nonmedical consumption (e.g., food, education, or housing consumption). To the best of our knowledge, only Sheu and Lu (2014) have focused on this issue; however, their study was set in Chinese Taiwan province.…”

Section: Introductionmentioning

confidence: 99%

Effects of the Resident Basic Medical Insurance Reform on Household Consumption in China

Yu,

Ma,

Zhan

2024

China and World Economy

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This paper investigates the causal relationship between the Urban and Rural Resident Basic Medical Insurance (URRBMI) reform and household consumption in urban China using data from the Chinese Household Income Project survey and employing combination of the propensity score matching and difference‐in‐differences methods. The results yield three conclusions. First, the reform affected both the amount and share of household consumption. Specifically, the reform led to an increase in total household consumption, encompassing both medical and nonmedical expenditures. Among these, the proportion of medical consumption increased, while the proportion of nonmedical consumption reduced. Second, the impact of the URRBMI reform varied across consumption categories within nonmedical expenditure. Specifically, consumption for education and entertainment industries are positively impacted by the URRBMI reform in terms of both quantity and proportion. Third, low‐income households benefit more from the URRBMI reform compared to middle‐ and high‐income households. The main channels through which the URRBMI reform affects household consumption were the price effect and the crowding out effect on precautionary savings.

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Section: Introductionmentioning

confidence: 99%

Effects of the Resident Basic Medical Insurance Reform on Household Consumption in China

Yu,

Ma,

Zhan

2024

China and World Economy

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“…Since the last ten years, semi-parametric panel data varying coefficient models with fixed effects have become a very useful tool to handle many statistical problems in empirical studies (see for example Card 2001;Kottaridi and Stengos 2010;Kuan and Chen 2013). If individual effects are assumed to be uncorrelated with the explanatory variables (random effects), the smooth functions can be estimated by any standard nonparametric techniques of varying coefficient models.…”

Section: Introductionmentioning

confidence: 99%

Differencing techniques in semi-parametric panel data varying coefficient models with fixed effects: a Monte Carlo study

Rodríguez-Póo

Soberón

2014

Comput Stat

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Recently, some new techniques have been proposed for the estimation of semi-parametric fixed effects varying coefficient panel data models. These new techniques fall within the class of the so-called differencing estimators. In particular, we consider first-differences and within local linear regression estimators. Analyzing their asymptotic properties it turns out that, keeping the same order of magnitude for the bias term, these estimators exhibit different asymptotic bounds for the variance. In both cases, the consequences are suboptimal non-parametric rates of convergence. In order to solve this problem, by exploiting the additive structure of this model, a one-step backfitting algorithm is proposed. Under fairly general conditions, it turns out that the resulting estimators show optimal rates of convergence and exhibit the oracle efficiency property. Since both estimators are asymptotically equivalent, it is of interest to analyze their behavior in small sample sizes. In a fully parametric context, it is well-known that, under strict exogeneity assumptions the performance of both first-differences and within estimators is going to depend on the stochastic structure of the idiosyncratic random errors. However, in the non-parametric setting, apart from the previous issues other factors such as dimensionality or sample size are of great interest. In particular, we would be interested in learning about their relative average mean square error under different scenarios. The simulation results basically confirm the theoretical findings for both local linear regression and one-step backfitting estimators. However, we have found out that within estimators are rather sensitive to the size of number of time observations. Keywords Semi-parametric varying coefficients model · Panel data · Local linear regression · One-step backfitting algorithm · First-differences estimator · Within estimator · Monte Carlo simulations Mathematics Subject Classification 62G05 · 62G08 · 62G20 · 65C05 · 91B08

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Knowing when to splurge: Precautionary saving and Chinese-Canadians

Manger

Matthews

2021

Journal of Asian Economics

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Effects of National Health Insurance on precautionary saving: new evidence from Taiwan

Cited by 11 publications

References 18 publications

Effects of the Resident Basic Medical Insurance Reform on Household Consumption in China

Effects of the Resident Basic Medical Insurance Reform on Household Consumption in China

Differencing techniques in semi-parametric panel data varying coefficient models with fixed effects: a Monte Carlo study

Knowing when to splurge: Precautionary saving and Chinese-Canadians

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