Kwak, Sungil (2011): The Impact of Taxes on Charitable Giving: Empirical Evidence from the Korean Labor and Income Panel Study.
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Households’ or individuals’ decision regarding charitable giving may differby type of recipient of the gift. In light of the relative paucity of empirical research on the impact of tax incentives on charitable giving outside Western countries, empirical research on this topic in South Korea is valuable in order to compare effects across difference tax regimes and in different institutional environments. We use the Korean Labor and Income Panel Study (KLIPS), whose panel structure helps alleviate the omitted variable bias that has often appeared in previous literature using cross-sectional data. This study aims to perform a robust estimation of tax price and income elasticities for charitable contributions in South Korea. First, we use exogenous changes in tax rates resulting from Korean Tax Reform to construct instrumental variables (IVs) for the change in the price of giving. Two tests are undertaken to determine whether the IVs are weak or not: a size-corrected test of a weak IV robust inference for the linear instrumental variable model with autocorrelation and heteroscedasticity recently devised by Finlay and Magnusson; and the LIML CUE-GMM estimation. We find that our instruments are not weak. Following Smith and Blundell, and Rivers and Vuong , we then estimate the random effect (RE) Tobit Model using acontrol function based on the IVs. Using the procedure developed by Mundlak, we estimated a fixed effect model from the RE Tobit model. The tax price and income elasticities from the pseudo-fixed effect Tobit model are found to be significant and the magnitudes are similar to those from the GMM fixed effect and CUE-GMM models. To investigate additional features of the conditional distribution of charitable giving in South Korea, we use the Censored Quantile regression with instrumental variables (CQIV) recently proposed by Chernozhukov, Fernandex-Val, and Kowalski. These estimate indicate that the price elasticity of charitable giving is very heterogenous among donors, while income has a quite uniform and positive effect over the whole range of the giving distribution significantly.
|Item Type:||MPRA Paper|
|Original Title:||The Impact of Taxes on Charitable Giving: Empirical Evidence from the Korean Labor and Income Panel Study|
|Keywords:||Tax Reform, South Korea, Korean Labor and Income Panel Study, Charitable Giving, Pseudo-fixed effect Tobit, Censored Quantile Regression with IVs, Weak Instruments|
|Subjects:||H - Public Economics > H4 - Publicly Provided Goods > H40 - General
H - Public Economics > H2 - Taxation, Subsidies, and Revenue > H20 - General
|Depositing User:||Sungil Kwak|
|Date Deposited:||22. Feb 2012 13:19|
|Last Modified:||13. Feb 2013 06:09|
Abrevaya, J. and Dahl, C. M. (2008). The Effects of Birth inputs on Birthweight: Evidence from Quantile Estimation on Panel Data. Journal of Business & Economic Statistics, 26:379–397. Anderson, T. W. (1951). Estimating Linear Restrictions on Regression Coefficients for Multivariate Normal Distributions. Annals of Mathematical Statistics, 22:327–351. Anderson, T. W. and Rubin, H. (1949). Estimation of the Parameters of a Single Equation in a Complete System of Stochastic Equations. Annals of Mathematical Statistics, 20:46–63. Andreoni, J. (1990). Impure Altruism and Donations to Public Goods: a Theory of Warm-glow Giving. Economic Journal, 100(401):464–477. Andreoni, J. (2006). Philanthropy, volume 1 of Handbook on the Economics of Giving, Reciprocity and Altruism, chapter 18, pages 1201–1269. Elsevier. Andreoni, J. and Vesterlund, L. (2001). Which is the Fair Sex? Gender Differences in Altruism. The Quarterly Journal of Economics, 116(1):293–312. Angrist, J. D. and Pischke, J.-S. (2009). Mostly Harmless Econometrics: An Empiricist’s Companion. Princeton, New Jersey. Auten, G., Sieg, H., and Clotfelter, C. (2002). Charitable Giving, Income and Taxes: An Analysis of Panel Data. American Economic Review, 92(1):371–382. Bakija, J. (2000). Distinguishing Transitory and Permanent Price Elasticities of Charitable Giving with Pre-Announced Changes in Tax Law. Department of economics working papers 190, Department of Economics, Williams College. Barrett, K. S., Mcguirk, A. M., and Steinberg, R. (1997). Further Evidence on the Dynamic Impact of Taxes on Charitable Giving. National Tax Journal, 50(2):321–334. Bilias, Y., Chen, S., and Ying, Z. (2000). Simple Resampling Methods for Censored Quantile Regression. Journal of Econometrics, 99:373–386. Bradley, R., Holden, S., and Mcclelland, R. (2005). A Robust Estimation Of The Effects Of Taxation On Charitable Contributions. Contemporary Economic Policy, 23(4):545–554. Brinkerhoff, J. M., Smith, S. C., and Teegen, H. (2007). NGOs and The Millennium Development Goals, chapter 4: Beyond the “Non": The Strategic Space for NGOs in Development, pages 53–80. Palgrave Macmillan. Brooks, A. C. (2002). Charitable Giving in Transition Economies: Evidence from Russia. National Tax Journal, 55(4):743–753. Canay, I. A. (2008). A Note on Quantile Regression for Panel Data Models. Technical report, Department of Economics, Northwestern University. Chamberlain, G. (1982). Multivariate Regression Models for Panel Data. Journal of Econometrics, 18(1):5–46. Chang, W.-C. (2005). Determinants of Donations: Empirical Evidence from Taiwan. The Developing Economies, 43(2):217–34. Chernozhukov, V., Fernandez-Val, I., and Kowalski, A. E. (2009). Censored Quantile Instrumental Variable Estimation via Control Functions. Boston University - Department of Economics - Working Papers Series wp2009-012, Boston University - Department of Economics. Chernozhukov, V. and Hong, H. (2002). Three-Step Quantile Regression and Extramarital Affairs. Journal of the American Statistical Association, 97(459):872–882. Chua, V. C. and Wong, C. M. (1999). Tax Incentives, Individual Characteristics and Charitable Giving in Singapore. International Journal of Social Economics, 26(12):1492–1504. Clotfelter, C. (1985). Federal Tax Policy and Charitable Giving. University of Chicago Press. Cordes, J. J. (2001). The Cost of Giving: How Do Changes in Tax Deductions Affect Charitable Contributions? Seminar Series, “Emerging Issues in Philanthropy" No. 2, Urban Institute Center on Nonprofits and Philanthropy and the Harvard University Hauser Center for Nonprofit Organizations. Eckel, C. C. and Grossman, P. J. (2004). Giving to Secular Causes by the Religious and Nonreligious: An Experimental Test of the Responsiveness of Giving to Subsidies. Nonprofit and Voluntary Sector Quarterly, 33(2):271–289. Finlay, K. and Magnusson, L. M. (2009). Implementing Weak-Instrument Robust Tests for a General Class of Instrumental-Variables Models. Stata Journal, 9(3):398–421. Fitzenberger, B. (1997). Handbook of Statistics: Robust Inference, volume 15, chapter 15. A Guide to Censored Quantile Regressions, pages 405–437. Amsterdam ; New York : Elsevier. Hahn, J., Hausman, J., and Kuersteiner, G. (2004). Estimation with Weak Instruments: Accuracy of Higher-order Bias and MSE Approximation. Econometrics Journal, 7(1):272–306. Halvorsen, R. and Palmquist, P. (1980). The Interpretation of Dummy Variables in Semilogarithmic Equations. American Economic Review, 70:474–475. Hansen, B. E. (1996). Inference When a Nuisance Parameter Is Not Identified under the Null Hypothesis. Econometrica, 64(2):413–30. Hansen, L. P., Heaton, J., and Yaron, A. (1996). Finite Sample Properties of Some Alternative GMM Estimators. Journal of Business and Economic Statistics, 14:262–280. Hayashi, F. (2000). Econometrics. Princeton University Press, New Jersey. Honore, B. E. (1992). Trimmed LAD and Least Squares Estimation of Truncated and Censored Regression Models with Fixed Effects. Econometrica, 60:533–565. Kleibergen, F. and Paap, R. (2006). Generalized Reduced Rank Tests using the Singular Value Decomposition. Journal of Econometrics, 133:97–126. Koenker, R. (2004). Quantile Regression for Longitudinal Data. Journal of Multivariate Analysis, 91:74–89. Kowalski, A. E. (2009). Censored Quantile Instrumental Variable Estimates of the Price Elasticity of Expenditure on Medical Care. NBER Working Paper Series, 15085. List, J. A. (2007). On the Interpretation of Giving in Dictator Games. Journal of Political Economy, 115(3):482–494. Machado, J. A. and Mata, J. (2005). Counterfactual Decomposition of Changes in Wage Distributions using Quantile Regression. Journal of Applied Economics, 20:445–465. Moreira, M. J. (2002). Tests with Correct Size in the Simultaneous Equations Model. PhD thesis, UC Berkeley. Moreira, M. J. (2003). A Conditional Likelihood Ratio Test for Structural Models. Econometrica, 71:1027–1048. Mundlak, Y. (1978). On the Pooling of Time Series and Cross-sectional Data. Econometrica, 56(1):69–85. Pagan, A. R. and Hall, D. (1983). Diagnostic Tests as Residual Analysis. Econometric Reviews, 2:159–218. Park, T. and Park, S. (2004). An Economic Study on Charitable Giving of Individuals in Korea: Some New Findings from 2002 Survey Data. In ISTR Conference Working Papers Toronto Conference IV. Park, T., Park, S., and Jeong, Y. (2002). Economic Analysis on Charitable Giving in Korea. In 5th International Conference of ISTR, Cape Town, South Africa. Peloza, J. and Steel, P. (2005). The Price Elasticities of Charitable Contributions: A Meta-Analysis. Journal of Public Policy and Marketing, 24(2):260–272. Piliavin, J. A. and Charng, H.-W. (1990). ALTRUISM: A Review of Recent Theory and Research. Annual Review of Sociology, 16:27–65. Powell, J. L. (1986). Censored Regression Quantiles. Journal of Econometrics, 32:143–155. Rabe-Hesketh, S., Skrondal, A., and Pickles, A. (2005). Maximum Likelihood Estimation of Limited and Discrete Dependent Variable Models with Nested Random Effects. Journal of Econometrics, 128:301–323. Randolph, W. (1995). Dynamic Income, Progressive Taxes, and the Timing of Charitable Contributions. Journal of Political Economy, 103(4):709–738. Rivers, D. and Vuong, Q. H. (1988). Limited Information Estimators and Exogeneity Tests for Simultaneous Probit Models. Journal of Econometrics, 39(3):347–366. Rosen, A. (2009). Set Identification via Quantile Restrictions in Short Panels. CeMMAP working papers CWP26/09, Centre for Microdata Methods and Practice, Institute for Fiscal Studies. Schokkaert, E. (2006). The Empirical Analysis of Transfer Motives, volume 1 of Handbook on the Economics of Giving, Reciprocity and Altruism, chapter 2, pages 127–181. Elsevier. Smith, R. and Blundell, R. (1986). An Exogeneity Test for a Simultaneous Equation Tobit Model with an Application to Labor Supply. Econometrica, 54:679–685. Steinberg, R. (1990). Taxes and Giving: New Findings. Voluntas, 1(2):61–79. Stock, J. H., Wright, J. H., and Yogo, M. (2002). A Survey of Weak Instruments and Weak Identification in Generalized Method of Moments. Journal of Business & Economic Statistics, 20(4):518–529. Vesterlund, L. (2006). Why Do People Give? In Powell, W. W. and Steinberg, R., editors, The Nonprofit Sector: A Research Handbook, chapter 24, pages 568–588. Yale University Press, 2nd edition. Wooldridge, J. M. (2002). Econometric Analysis of Cross Section and Panel Data. Cambridge MA, MIT Press. Wu, S., Huang, J.-T., and Kao, A. (2004). An Analysis of the Peer Effects in Charitable Giving: The Case of Taiwan. Journal of Family and Economic Issues, 25(4):483–505.