Benefit Incidence with Incentive Effects, Measurement Errors and Latent Heterogeneity
Empirical studies of tax and benefit incidence routinely ignore behavioral responses and measurement errors. This paper offers an econometric method of estimating the mean benefit withdrawal rate (marginal tax rate) allowing for incentive effects,...
Main Authors: | , |
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Format: | Policy Research Working Paper |
Language: | English en_US |
Published: |
World Bank, Washington, DC
2013
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Subjects: | |
Online Access: | http://documents.worldbank.org/curated/en/2013/08/18111657/benefit-incidence-incentive-effects-measurement-errors-latent-heterogeneity-benefit-incidence-incentive-effects-measurement-errors-latent-heterogeneity http://hdl.handle.net/10986/16006 |
Summary: | Empirical studies of tax and benefit
incidence routinely ignore behavioral responses and
measurement errors. This paper offers an econometric method
of estimating the mean benefit withdrawal rate (marginal tax
rate) allowing for incentive effects, measurement errors,
and correlated latent heterogeneity in incidence. Under the
method's identifying assumptions, a feasible
instrumental variables estimator corrects for incentive
effects and measurement errors, and provides a bound for the
true value when there is correlated incidence heterogeneity.
A case study for a large cash transfer program in China
indicates that past methods of assessing benefit incidence
using either nominal official rates or raw tabulations from
survey data are deceptive. The program entails a nominal 100
percent benefit withdrawal rate -- a poverty trap. However,
the paper finds that the actual rate is much lower, and
clearly too low in the light of the literature on optimal
income taxation. The paper discusses likely reasons based on
the qualitative observations. |
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