Nonparametric Kernel Estimation of the Impact of Tax Policy on the Demand for Private Health Insurance in Australia

Xiaodong GONG, Jiti Gao

Research output: Contribution to journalArticle

Abstract

This paper is motivated by our attempt to answer a policy question: how is private health insurance take‐up in Australia affected by the income threshold at which the Medicare Levy Surcharge (MLS) kicks in? We propose a new difference deconvolution kernel estimator for the location and size of regression discontinuities. We also propose a bootstrapping procedure for estimating the confidence interval for the estimated discontinuity. Performance of the estimator is evaluated by Monte Carlo simulations before it is applied to estimating the effect of the income threshold of MLS on the take‐up of private health insurance in Australia, using contaminated data.
Original languageEnglish
Pages (from-to)374-393
Number of pages20
JournalAustralian and New Zealand Journal of Statistics
Volume60
Issue number3
DOIs
Publication statusPublished - 2018

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Kernel Estimation
Tax
Nonparametric Estimation
Insurance
Discontinuity
Health
Kernel Estimator
Bootstrapping
Deconvolution
Confidence interval
Monte Carlo Simulation
Regression
Estimator
Policy
Demand
Kernel estimation
Income
Tax policy
Private health insurance
Medicare

Cite this

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abstract = "This paper is motivated by our attempt to answer a policy question: how is private health insurance take‐up in Australia affected by the income threshold at which the Medicare Levy Surcharge (MLS) kicks in? We propose a new difference deconvolution kernel estimator for the location and size of regression discontinuities. We also propose a bootstrapping procedure for estimating the confidence interval for the estimated discontinuity. Performance of the estimator is evaluated by Monte Carlo simulations before it is applied to estimating the effect of the income threshold of MLS on the take‐up of private health insurance in Australia, using contaminated data.",
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AB - This paper is motivated by our attempt to answer a policy question: how is private health insurance take‐up in Australia affected by the income threshold at which the Medicare Levy Surcharge (MLS) kicks in? We propose a new difference deconvolution kernel estimator for the location and size of regression discontinuities. We also propose a bootstrapping procedure for estimating the confidence interval for the estimated discontinuity. Performance of the estimator is evaluated by Monte Carlo simulations before it is applied to estimating the effect of the income threshold of MLS on the take‐up of private health insurance in Australia, using contaminated data.

KW - deconvolution kernel estimator

KW - demand for private health insurance

KW - error-in-variables

KW - regression discontinuity

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