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DO CAPITAL TAX INCENTIVES ATTRACT NEW BUSINESSES? EVIDENCE ACROSS INDUSTRIES FROM THE NEW MARKETS TAX CREDIT
Author(s) -
Harger Kaitlyn,
Ross Amanda
Publication year - 2016
Publication title -
journal of regional science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.171
H-Index - 79
eISSN - 1467-9787
pISSN - 0022-4146
DOI - 10.1111/jors.12286
Subject(s) - tax credit , incentive , business , sorting , empirical evidence , selection bias , labour economics , economics , public economics , market economy , philosophy , epistemology , computer science , programming language , medicine , pathology
In this paper, we examine how government policy affects the sorting of industries across jurisdictions using the New Markets Tax Credit (NMTC) program. When estimating the impact of the tax credit on business activity, there are likely to be unobservable local characteristics that are correlated with business location decisions that would cause OLS estimates to be biased. To control for this endogenous selection, we use a plausibly exogenous eligibility cutoff and compare census tracts that are just eligible for the NMTC program to those that are just ineligible. Using data from the Dun and Bradstreet MarketPlace Files, we find that eligibility for the NMTC program caused industries to sort across eligible and noneligible tracts. In particular, we find that there is an increase in retail employment, both among new businesses and existing businesses, and an increase in manufacturing employment at existing businesses in tracts that were eligible for the program. However, we find negative effects on employment at new firms in the wholesale and transportation industries, and decreases in the number of new firms in FIRE and services. Policy makers should be cognizant of these results, as the implications of the sorting across industries on local areas must be considered to design effective policy.