000 | 03231cam a22004817a 4500 | ||
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001 | w30015 | ||
003 | NBER | ||
005 | 20220616160830.0 | ||
006 | m o d | ||
007 | cr cnu|||||||| | ||
008 | 220616s2022 mau fo 000 0 eng d | ||
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_aMaCbNBER _beng _cMaCbNBER |
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100 | 1 | _aBoerma, Job. | |
245 | 1 | 0 |
_aBunching and Taxing Multidimensional Skills / _cJob Boerma, Aleh Tsyvinski, Alexander P. Zimin. |
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_aCambridge, Mass. _bNational Bureau of Economic Research _c2022. |
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_a1 online resource: _billustrations (black and white); |
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490 | 1 |
_aNBER working paper series _vno. w30015 |
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500 | _aMay 2022. | ||
520 | 3 | _aWe characterize optimal policies in a multidimensional nonlinear taxation model with bunching. We develop an empirically relevant model with cognitive and manual skills, firm heterogeneity, and labor market sorting. The analysis of optimal policy is based on two main results. We first derive an optimality condition − a general ABC formula − that states that the entire schedule of benefits of taxes second order stochastically dominates the entire schedule of tax distortions. Second, we use Legendre transforms to represent our problem as a linear program. This linearization allows us to solve the model quantitatively and to precisely characterize the regions and patterns of bunching. At an optimum, 9.8 percent of workers is bunched both locally and nonlocally. We introduce two notions of bunching - blunt bunching and targeted bunching. Blunt bunching constitutes 30 percent of all bunching, occurs at the lowest regions of cognitive and manual skills, and lumps the allocations of these workers resulting in a significant distortion. Targeted bunching constitutes 70 percent of all bunching and recognizes the workers' comparative advantage. The planner separates workers on their dominant skill and bunches them on their weaker skill, thus mitigating distortions along the dominant skill dimension. Tax wedges are particularly high for low skilled workers who are bluntly bunched and are also high along the dimension of comparative disadvantage for somewhat more skilled workers who are targetedly bunched. | |
530 | _aHardcopy version available to institutional subscribers | ||
538 | _aSystem requirements: Adobe [Acrobat] Reader required for PDF files. | ||
538 | _aMode of access: World Wide Web. | ||
588 | 0 | _aPrint version record | |
690 | 7 |
_aGeneral _2jelc |
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650 | 7 |
_aGeneral _2jelc |
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_aGeneral _2jelc |
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650 | 7 |
_aGeneral _2jelc |
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_aH0 _2jelc |
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690 | 7 |
_aTaxation, Subsidies, and Revenue _2jelc |
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_aTaxation, Subsidies, and Revenue _2jelc |
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_aH2 _2jelc |
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690 | 7 |
_aEfficiency • Optimal Taxation _2jelc |
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650 | 7 |
_aEfficiency • Optimal Taxation _2jelc |
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084 |
_aH21 _2jelc |
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700 | 1 | _aTsyvinski, Aleh. | |
700 | 1 | _aZimin, Alexander P. | |
710 | 2 | _aNational Bureau of Economic Research. | |
830 | 0 |
_aWorking Paper Series (National Bureau of Economic Research) _vno. w30015. |
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856 | 4 | 0 | _uhttps://www.nber.org/papers/w30015 |
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_yAcceso en línea al DOI _uhttp://dx.doi.org/10.3386/w30015 |
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_2ddc _cW-PAPER |
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_c389446 _d348008 |