Experience & Education
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Kellogg School of Management, Northwestern University
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Publications
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Investment and Capital Constraints: Repatriations Under the American Jobs Creation Act
Review of Financial Studies
The American Jobs Creation Act (AJCA) significantly lowered U.S. firms’ tax cost when accessing their unrepatriated foreign earnings. Using this temporary shock to the cost of internal financing, we examine the role of capital constraints in firms’investment decisions. Controlling for the capacity to repatriate foreign earnings under the AJCA, we find that a majority of the funds repatriated by capital-constrained firms were allocated to approved domestic investment. Although unconstrained firms…
The American Jobs Creation Act (AJCA) significantly lowered U.S. firms’ tax cost when accessing their unrepatriated foreign earnings. Using this temporary shock to the cost of internal financing, we examine the role of capital constraints in firms’investment decisions. Controlling for the capacity to repatriate foreign earnings under the AJCA, we find that a majority of the funds repatriated by capital-constrained firms were allocated to approved domestic investment. Although unconstrained firms account for a majority of repatriated funds, no increase in investment resulted. Contrary to other examinations of the AJCA, we find little change in leverage and equity payouts.
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Estimating Standard Errors in Finance Panel Data Sets: Comparing Approaches
Review of Financial Studies
See publicationIn corporate finance and asset pricing empirical work, researchers are often confronted with panel data. In these data sets, the residuals may be correlated across firms or across time, and OLS standard errors can be biased. Historically, researchers in the two literatures have used different solutions to this problem. This paper examines the different methods used in the literature and explains when the different methods yield the same (and correct) standard errors and when they diverge. The…
In corporate finance and asset pricing empirical work, researchers are often confronted with panel data. In these data sets, the residuals may be correlated across firms or across time, and OLS standard errors can be biased. Historically, researchers in the two literatures have used different solutions to this problem. This paper examines the different methods used in the literature and explains when the different methods yield the same (and correct) standard errors and when they diverge. The intent is to provide intuition as to why the different approaches sometimes give different answers and give researchers guidance for their use.
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