Business and Economics > Corporate Taxation

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Thomas Benninger
,
Dan Devlin
,
Eduardo Camero Godinez
, and
Nate Vernon
Mining and petroleum projects share characteristics distinguishing them from other sectors of the economy, which has led to the use of dedicated fiscal regimes for these projects. The IMF’s Fiscal Affairs Department uses fiscal modeling to evaluate extractive industry fiscal regimes for its member countries, and trains country officials on key modeling concepts. This paper outlines important preconditions needed for effective fiscal modeling, key evaluation metrics, and emphasizes the importance of transparent modeling practices. It then examines the modeling of commonly-used fiscal instruments and highligts where their economic impact differs, and how fiscal models can inform fiscal regime design.
Andrew Berg
,
Edward F Buffie
,
Mariarosaria Comunale
,
Chris Papageorgiou
, and
Luis-Felipe Zanna
The current wave of technological revolution is changing the way policies work. This paper examines the growth and distributional implications of three policies when “robot'' capital (a broad definition of robots, Artificial Intelligence, computers, big data, digitalization, networks, sensors and servos) is introduced in a neoclassical growth model. 1) cuts to the corporate tax rate; 2) increases in education spending; and 3) increases in infrastructure investment. We find that incorporating “robot'' capital into the model does make a big difference to policy outcomes: the trickle-down effects of corporate tax cuts on unskilled wages are attenuated, and the advantages of investment in infrastructure, and especially in education, are bigger. Based on our calibrations grounded on new empirical estimates, infrastructure investment and corporate tax cuts dominate investment in education in a "traditional" economy. However, in an economy with “robots” the infrastructure investment dominates corporate tax cuts, while investment in education tends to produce the highest welfare gains of all. The specific results, of course, may depend on the exact modeling of the technological change, but our main results remain valid and can provide more accurate welfare rankings.