No abstract

The article titled “Fiscal Responses to the COVID-19 Crisis in Japan: The First Six Months,” published in The National Tax Journal, Vol. 73, No. 3, had an error in Figure 2, page 905. That error has since been corrected in online publishings of the article and the corrected version is below. The authors apologize for the error and any confusion that it may have caused.

We evaluate the impact of patient cost sharing on the use of dentures and subjective chewing ability exploiting a sharp reduction in the coinsurance rate, the percentage of costs born by the user, from 30 % to 10 % at the age of 70 with a regression discontinuity design. Using data from the Japanese Study of Aging and Retirement (JSTAR), we find that the utilization rate of dentures increases from approximately 50 % to 63 % around the threshold, implying that the extensive margin elasticity of denture usage with respect to the coinsurance rate is about –0.41. In addition, we find this jump is almost entirely due to the change in the rate among women. On the other hand, we do not find a significant improvement in self-reported chewing ability, although chewing ability may not be the only social benefit from dentures. Our empirical findings are also confirmed by complementary analysis with randomization tests.

Standard-Nutzungsbedingungen:Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Zwecken und zum Privatgebrauch gespeichert und kopiert werden.Sie dürfen die Dokumente nicht für öffentliche oder kommerzielle Zwecke vervielfältigen, öffentlich ausstellen, öffentlich zugänglich machen, vertreiben oder anderweitig nutzen.Sofern die Verfasser die Dokumente unter Open-Content-Lizenzen (insbesondere CC-Lizenzen) zur Verfügung gestellt haben sollten, gelten abweichend von diesen Nutzungsbedingungen die in der dort genannten Lizenz gewährten Nutzungsrechte. Terms of use: Documents in EconStor may AbstractIn a Regression Kink (RK) design with a finite sample, a confounding smooth nonlinear relationship between an assignment variable and an outcome variable around a threshold can be spuriously picked up as a kink and result in a biased estimate. In order to investigate how well RK designs handle such confounding nonlinearity, I firstly implement Monte Carlo simulations and then study the effect of fiscal equalization grants on local expenditure using a RK design. Results suggest that RK estimation with a confounding nonlinearity often suffers from bias or imprecision and estimates are credible only when relevant covariates are controlled for.JEL classification: C13, C21, H71, H72, H77