000 01576nab a2200253 c 4500
999 _c147726
_d147726
003 ES-MaIEF
005 20230615141318.0
007 ta
008 230615t2023 us ||||| |||| 00| 0|eng d
040 _aES-MaIEF
_bspa
_cES-MaIEF
100 1 _968703
_aCraig, Ashley C.
245 0 _aOptimal income taxation with spillovers from employer learning
_c Ashley C. Craig
500 _aResumen.
520 _aI study optimal income taxation when human capital investment is imperfectly observable by employers. In the model, Bayesian inference about worker productivity compresses the wage distribution, lowering the private return to human capital investment. An externality arises: given the same information, employers are more optimistic about each individual if workers are generally more productive. The significance of this externality hinges on the accuracy of employers' beliefs and the responsiveness of human capital. For the United States, taking it into account lowers optimal marginal tax rates for most workers, reducing them by a maximum of 9–13 percentage points between $50,000 and $100,000.
650 4 _950199
_aIMPUESTO SOBRE LA RENTA DE LAS PERSONAS FISICAS
650 4 _948256
_aRENDIMIENTOS DE TRABAJO
650 4 _947884
_aTRABAJADORES
650 4 _927357
_aAPRENDIZAJE
650 4 _948148
_aPRODUCTIVIDAD
650 4 _97978
_aIMPOSICION OPTIMA
650 4 _947776
_aMODELOS ECONOMETRICOS
773 0 _9169689
_oOP 2135/2023/2
_tAmerican Economic Journal : Economic Policy
_w(IEF)134825
_x 1945-7731
_g v. 51, n. 2, May 2023, p. 82-125
942 _cART