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We study a Chinese policy that awards substantial tax cuts to firms with R&D investment over a threshold or “notch.” Quasi-experimental variation and administrative tax data show a significant increase in reported R&D that is partly driven by firms relabeling expenses as R&D. Structural estimates show relabeling accounts for 24.2 percent of reported R&D and that doubling R&D would increase productivity by 9 percent. Policy simulations show that firm selection and relabeling determine the cost-effectiveness of stimulating R&D, that notch-based policies are more effective than tax credits when relabeling is prevalent, and that modest spillovers justify the program from a welfare perspective.

We estimate the effect of temporary tax incentives on equipment investment using shifts in accelerated depreciation. Analyzing data for over 120,000 firms, we present three findings. First, bonus depreciation raised investment in eligible capital relative to ineligible capital by 10.4 percent between 2001 and 2004 and 16.9 percent between 2008 and 2010. Second, small firms respond 95 percent more than big firms. Third, firms respond strongly when the policy generates immediate cash flows, but not when cash flows only come in the future. This heterogeneity materially affects investment-weighted estimates and supports models in which financial frictions or fixed costs amplify investment responses.

We address the role of \"psychological frictions\" in the incomplete take-up of EITC benefits with an IRS field experiment. We specifically assess the influence of program confusion, informational complexity, and stigma by evaluating response to experimental mailings distributed to 35,050 tax filers who failed to claim $26 million despite an initial notice. While the mere receipt of the mailing, simplification, and the heightened salience of benefits led to substantial additional claiming, attempts to reduce perceived costs of stigma, application, and audits did not. The study, and accompanying surveys, suggests that low program awareness/understanding and informational complexity contribute to the puzzle of low take-up.

China initiated a major reform for capital taxation in 2004. Completed in 2009, it introduced permanent tax incentives for firms’ investment in fixed assets. We explore a unique firm-level dataset from years 2005–2012 and utilize a quasi-experimental design to test the impacts of the reform on firms’ investment and productivity. We find that, on average, the reform raised investment and productivity of the treated firms relative to the control firms by 38.4 percent and 8.9 percent, respectively. We also show that the positive effects tend to be strengthened for firms with financial constraints.

This book provides an overview of the child tax credit and the newly enacted changes to this program. To analyze the impact of these changes on families' financial well-being, the book provides estimates of the share of families that receive the child credit both before and after the ARPA expansion, followed by estimates of the ARPA expansion's impact on average family income.

Since 2006, US households have received more than $18 billion in federal income tax credits for weatherizing their homes, installing solar panels, buying hybrid and electric vehicles, and other “clean energy” investments. We use tax return data to examine the socioeconomic characteristics of program recipients. We find that these tax expenditures have gone predominantly to higher-income Americans. The bottom three income quintiles have received about 10% of all credits, while the top quintile has received about 60%. The most extreme is the program aimed at electric vehicles, where we find that the top income quintile has received about 90% of all credits. By comparing to previous work on the distributional consequences of pricing greenhouse gas emissions, we conclude that tax credits are likely to be much less attractive on distributional grounds than market mechanisms to reduce greenhouse gases (GHGs).

We estimate the impacts of the Earned Income Tax Credit on labor supply using local variation in knowledge about the EITC schedule. We proxy for EITC knowledge in a Zip code with the fraction of individuals who manipulate reported self-employment income to maximize their EITC refund. This measure varies significantly across areas. We exploit changes in EITC eligibility at the birth of a child to estimate labor supply effects. Individuals in high-knowledge areas change wage earnings sharply to obtain larger EITC refunds relative to those in low-knowledge areas. These responses come primarily from intensive-margin earnings increases in the phase-in region.

Using an instrumental variables strategy, we estimate the causal effect of income on children's math and reading achievement. Our identification derives from the large, nonlinear changes in the Earned Income Tax Credit. The largest of these changes increased family income by as much as 20 percent, or approximately $2,100, between 1993 and 1997. Our baseline estimates imply that a $1,000 increase in income raises combined math and reading test scores by 6 percent of a standard deviation in the short run. Test gains are larger for children from disadvantaged families and robust to a variety of alternative specifications.

Using a new measure of financial constraints based on firms' qualitative disclosures, we find that financially constrained firms—firms that use more negative words in their annual reports—pursue more aggressive tax planning strategies as evidenced by: (1) higher current and future unrecognized tax benefits, (2) lower short- and long-run current and future effective tax rates, (3) increase in tax haven usage for their material operations, and (4) higher proposed audit adjustments from the Internal Revenue Service. We exploit the unexpected closures of local banks as exogenous liquidity shocks to show that firms' external financial constraints affect their tax avoidance strategies. Overall, the linguistic cues in firms' qualitative disclosures provide incremental information beyond traditional accounting variables or commonly used effective tax rates to reveal and predict tax aggressiveness, both contemporaneously and in the future.

We evaluate the impacts of tax policy on asset returns using the U.S. municipal bond market. In theory, tax-induced ownership segmentation limits risk sharing, creating downwardsloping regions of the aggregate demand curve for the asset. In the data, cross-state variation in tax privilege policies predicts differences in in-state ownership of local municipal bonds; the policies create incentives for concentrated local ownership. High tax privilege states have muni bond yields that are more sensitive to variations in supply and local idiosyncratic risk. The effects are stronger when local investors face correlated background risk and/or diminishing marginal nonpecuniary benefits from holding local assets.