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A Microsimulation Approach to an Optimal Swedish Income Tax

Citations

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Cited by:

  1. John Creedy & Nicolas Hérault†, 2011. "Decomposing Inequality and Social Welfare Changes : The Use of Alternative Welfare Metrics," Department of Economics - Working Papers Series 1121, The University of Melbourne.
  2. Nazila Alinaghi & John Creedy & Norman Gemmell, 2020. "The Redistributive Effects of a Minimum Wage Increase in New Zealand: A Microsimulation Analysis," Australian Economic Review, The University of Melbourne, Melbourne Institute of Applied Economic and Social Research, vol. 53(4), pages 517-538, December.
  3. Laun, Lisa, 2012. "The E ffect of Age-Targeted Tax Credits on Retirement Behavior," Research Papers in Economics 2012:14, Stockholm University, Department of Economics.
  4. Lars-H. R. Siemers, 2014. "A General Microsimulation Model for the EU VAT with a specific Application to Germany," International Journal of Microsimulation, International Microsimulation Association, vol. 7(2), pages 40-93.
  5. Creedy, John & Gemmell, Norman & Hérault, Nicolas & Mok, Penny, 2018. "Microsimulation Analysis of Optimal Income Tax Reforms. An Application to New Zealand," GLO Discussion Paper Series 213, Global Labor Organization (GLO).
  6. John Creedy & Penny Mok, 2018. "The marginal welfare cost of personal income taxation in New Zealand," New Zealand Economic Papers, Taylor & Francis Journals, vol. 52(3), pages 323-338, September.
  7. Ugo Colombino & Nizamul Islam, 2020. "Combining microsimulation and optimization to identify optimal flexible tax-transfer rule," CHILD Working Papers Series 86 JEL Classification: H2, Centre for Household, Income, Labour and Demographic Economics (CHILD) - CCA.
  8. Creedy, John, 2013. "Alternative Distributions for Inequality and Poverty Comparisons," Working Paper Series 18784, Victoria University of Wellington, Chair in Public Finance.
  9. de Boer, Henk-Wim & Jongen, Egbert L. W., 2020. "Analysing Tax-Benefit Reforms in the Netherlands: Using Structural Models and Natural Experiments," IZA Discussion Papers 12892, Institute of Labor Economics (IZA).
  10. Jukka Pirttilä & Hakan Selin, 2011. "Tax Policy and Employment: How Does the Swedish System Fare?," CESifo Working Paper Series 3355, CESifo.
  11. Bessho, Shun-ichiro & Hayashi, Masayoshi, 2014. "Intensive margins, extensive margins, and spousal allowances in the Japanese system of personal income taxes: A discrete choice analysis," Journal of the Japanese and International Economies, Elsevier, vol. 34(C), pages 162-178.
  12. Ugo Colombino & Nizamul Islam, 2021. "Combining microsimulation and optimization to identify optimal universalistic tax-transfer rule," LISER Working Paper Series 2021-06, Luxembourg Institute of Socio-Economic Research (LISER).
  13. Islam, Nizamul & Colombino, Ugo, 2018. "The case for NIT+FT in Europe. An empirical optimal taxation exercise," Economic Modelling, Elsevier, vol. 75(C), pages 38-69.
  14. John Creedy, 2013. "Alternative Distributions for Inequality and Poverty Comparisons," Treasury Working Paper Series 13/11, New Zealand Treasury.
  15. Tim Goedemé & Karel Van den Bosch & Lina Salanauskaite & Gerlinde Verbist, 2013. "Testing the Statistical Significance of Microsimulation Results: A Plea," International Journal of Microsimulation, International Microsimulation Association, vol. 6(3), pages 50-77.
  16. John Creedy & Nicolas Hérault†, 2011. "Decomposing Inequality and Social Welfare Changes : The Use of Alternative Welfare Metrics," Department of Economics - Working Papers Series 1121, The University of Melbourne.
  17. Shun-ichiro Bessho & Masayoshi Hayashi, 2015. "Should the Japanese tax system be more progressive? An evaluation using the simulated SMCFs based on the discrete choice model of labor supply," International Tax and Public Finance, Springer;International Institute of Public Finance, vol. 22(1), pages 144-175, February.
  18. John Creedy & Norman Gemmell & Nicolas Hérault & Penny Mok, 2020. "A microsimulation analysis of marginal welfare-improving income tax reforms for New Zealand," International Tax and Public Finance, Springer;International Institute of Public Finance, vol. 27(2), pages 409-434, April.
  19. Henk-Wim Boer & Egbert L. W. Jongen, 2023. "Analysing tax-benefit reforms in the Netherlands using structural models and natural experiments," Journal of Population Economics, Springer;European Society for Population Economics, vol. 36(1), pages 179-209, January.
  20. Olivier Bargain & André Decoster & Mathias Dolls & Dirk Neumann & Andreas Peichl & Sebastian Siegloch, 2013. "Welfare, labor supply and heterogeneous preferences: evidence for Europe and the US," Social Choice and Welfare, Springer;The Society for Social Choice and Welfare, vol. 41(4), pages 789-817, October.
  21. Rolf Aaberge & Ugo Colombino, 2018. "Structural Labour Supply Models and Microsimulation," International Journal of Microsimulation, International Microsimulation Association, vol. 11(1), pages 162-197.
  22. Stefan Boeters, 2013. "Optimal Tax Progressivity in Unionised Labour Markets: Simulation Results for Germany," Computational Economics, Springer;Society for Computational Economics, vol. 41(4), pages 447-474, April.
  23. John Creedy & Penny Mok, 2018. "The marginal welfare cost of personal income taxation in New Zealand," New Zealand Economic Papers, Taylor & Francis Journals, vol. 52(3), pages 323-338, September.
  24. Rolf Aaberge & Ugo Colombino, 2014. "Labour Supply Models," Contributions to Economic Analysis, in: Handbook of Microsimulation Modelling, volume 127, pages 167-221, Emerald Group Publishing Limited.
  25. Laun, Lisa, 2017. "The effect of age-targeted tax credits on labor force participation of older workers," Journal of Public Economics, Elsevier, vol. 152(C), pages 102-118.
  26. Creedy, John & Gemmell, Norman & Hérault, Nicolas & Mok, Penny, 2018. "Microsimulation Analysis of Optimal Income Tax Reforms. An Application to New Zealand," GLO Discussion Paper Series 213, Global Labor Organization (GLO).
  27. Tim Goedemé & Karel Van den Bosch & Lina Salanauskaite & Gerlinde Verbist, 2013. "Testing the Statistical Significance of Microsimulation Results: Often Easier than You Think. A Technical Note," ImPRovE Working Papers 13/10, Herman Deleeck Centre for Social Policy, University of Antwerp.
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