Casino-style gaming is an important economic development strategy for many American Indian tribes throughout the United States. Using confidential Census microdata and a database
of tribal government-owned casinos, I examine the local labor market effects of tribal gaming on different markets, over different time horizons, and for different subgroups. I find that tribal gaming is responsible for sustained improvements in employment and wages on reservations and that American Indians benefit the most. I also find that tribal gaming increases the average rental price of housing but by an amount smaller than the average wage increase, suggesting net local benefits.
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Place Based Economic Development and Tribal Casinos
April 2025
Working Paper Number:
CES-25-24
Tribal lands in the U.S. have historically experienced some of the worst economic conditions in the nation. We review some existing research on the effect of American Indian tribal casinos on various measures of local economic development. This is an industry that began in the early 1990s and currently generates more than $40 billion annually. We also review the state of the literature on the effects of casino operations on communities in or adjacent to tribal areas. Using a new dataset linking individual and enterprise-level data longitudinally, this study examines the industry- and location-specific impacts of tribal casino operations. We focus in particular on the employment of American Indians. We document positive flows from unemployment and non-casino geographies to work in sectors related to casino operations. Tribal casinos differ from other standard place-based economic development projects in that they are focused on a single industry; we discuss these differences and note that some of the positive spillover effects may be similar to other, more standard place-based policies. Finally, we discuss additional and open-ended questions for future research on this topic.
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Assessing the Incidence and Efficiency of a Prominent Place Based Policy
February 2011
Working Paper Number:
CES-11-07
This paper empirically assesses the incidence and efficiency of Round I of the federal urban Empowerment Zone (EZ) program using confidential microdata from the Decennial Census and the Longitudinal Business Database. Using rejected and future applicants to the EZ program as controls, we find that EZ designation substantially increased employment in zone neighborhoods and generated wage increases for local workers without corresponding increases in population or the local cost of living. The results suggest the efficiency costs of first Round EZs were relatively small.
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The Impact of Local Labor Market Conditions on the Demand for Education: Evidence from Indian Casinos
June 2006
Working Paper Number:
CES-06-14
Using restricted-use data from the 1990 and 2000 Census long-form, we analyze the impact of local labor market conditions on the demand for education using the economic shock produced by the opening of a new casino on an Indian reservation as the identifying event. Federal legislation in 1988 allowed Indian tribes to open casinos in many states and since then, over 400 casinos have opened, 240 of which have Las Vegas-style games. We demonstrate that the opening of a casino increased the employment and wages of low-skilled workers. Young adults responded by dropping out of high school and reducing college enrollment rates, even though many tribes have generous college tuition subsidy programs.
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Technifying Ventures
July 2025
Working Paper Number:
CES-25-49
How do advanced technology adoption and venture capital (VC) funding impact employment and growth? An analysis of data from the US Census Bureau suggests that while both advanced technology use and VC funding matter on their own for firm outcomes, their joint presence is most strongly correlated with higher employment levels. VC presence is linked with a high increase in employment, though primarily among a limited subset of firms. In contrast, technology adoption is associated with a smaller rise in employment, yet it influences a considerably larger number of firms. A model of startups is created, focusing on decisions to use advanced technology and seek VC funding. The model is compared with firm-level data on employment, advanced technology use, and VC investment. Several thought experiments are conducted using the model. Some experiments assess the importance of advanced technology and VC in the economy. Others examine the reallocation effects across firms with different technology choices and funding sources in response to shifts in taxes and subsidies.
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A Loan by any Other Name:
How State Policies Changed Advanced Tax Refund Payments
June 2016
Working Paper Number:
carra-2016-04
In this work, I examine the impact of state-level regulation of Refund Anticipation Loans (RALs) on the increase in the use of Refund Anticipation Checks (RACs) and on taxpayer outcomes. Both RALs and RACs are products offered by tax-preparers that provide taxpayers with an earlier refund (in the case of a RAL) or a temporary bank account from which tax preparation fees can be deducted (in the case of a RAC). Each product is costly compared with the value of the refund, and they are often marketed to low-income taxpayers who may be liquidity constrained or unbanked. States have responded to the potentially predatory nature of RALs through regulation, leading to a switch to RACs. Using zip-code-level tax data, I examine the effects of various state-level policies on RAL activity and the transition of tax-preparers to RACs. I then specifically analyze New Jersey's interest rate cap on RALs, a regulation that was accompanied by greater enforcement of existing tax-preparer regulations. Employing an empirical strategy that uses variation in taxpayer location, which should be uninfluenced by tax preparers' decisions to provide these products and a state's decision to regulate them, I find increases in RAL and RAC use for taxpayers living near New Jersey's border with another state. Furthermore, I find that these same border taxpayers reported more social program use and more persons per household - a finding that is in line with the results of similar research into the effects of short-term borrowing on family finances.
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The Effect of Housing Assistance Program on Labor Supply and Family Formation
August 2022
Working Paper Number:
CES-22-35
This paper studies the effect of U.S. Housing Choice Voucher Program Section 8 on low-income people' labor supply and family formation. I analyse this effect using data from the 2014 Panel and 2018 Panel of the restricted-use Survey of Income and Program Participation (SIPP). My economic approach is to explore the policy which assigns housing vouchers based on an income cutoff as an instrument to study the effect of housing vouchers on low-income people's employment and family formation. The assignment policy states that households with income lower than 50% of the median income for the MSA area are eligible for housing vouchers. With household eligibility status, I compare the households whose income is slightly below the income cutoff (eligible households) with the households whose income is slightly above the income cutoff (ineligible household) to identify the effect of housing vouchers on employment and family formation. I find that housing vouchers have a negative impact on individual labor supply through both extensive and intensive margins. In addition, housing vouchers also negatively impact family formation by decreasing marriage and increasing divorce rates. This project will contribute to understanding the effect of Section 8 Housing Vouchers on low-income households' labor supply and family formation.
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Displaced workers, early leavers, and re-employment wages
November 2002
Working Paper Number:
tp-2002-18
In this paper, we lay out a search model that takes explicitly into account the
information flow prior to a mass layoff. Using universal wage data files that allow
us to identify individuals working with healthy and displacing firms both at
the time of displacement as well as any other time period, we test the predictions
of the model on re-employment wage differentials. Workers leaving a "distressed"
firm have higher re-employment wages than workers who stay with the
distressed firm until displacement. This result is robust to the inclusion of controls
for worker quality and unobservable firm characteristics.
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A METHOD OF CORRECTING FOR MISREPORTING APPLIED TO THE FOOD STAMP PROGRAM
May 2013
Working Paper Number:
CES-13-28
Survey misreporting is known to be pervasive and bias common statistical analyses. In this paper, I first use administrative data on SNAP receipt and amounts linked to American Community Survey data from New York State to show that survey data can misrepresent the program in important ways. For example, more than 1.4 billion dollars received are not reported in New York State alone. 46 percent of dollars received by house- holds with annual income above the poverty line are not reported in the survey data, while only 19 percent are missing below the poverty line. Standard corrections for measurement error cannot remove these biases. I then develop a method to obtain consistent estimates by combining parameter estimates from the linked data with publicly available data. This conditional density method recovers the correct estimates using public use data only, which solves the problem that access to linked administrative data is usually restricted. I examine the degree to which this approach can be used to extrapolate across time and geography, in order to solve the problem that validation data is often based on a convenience sample. I present evidence from within New York State that the extent of heterogeneity is small enough to make extrapolation work well across both time and geography. Extrapolation to the entire U.S. yields substantive differences to survey data and reduces deviations from official aggregates by a factor of 4 to 9 compared to survey aggregates.
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The EITC and Intergenerational Mobility
November 2020
Working Paper Number:
CES-20-35
We study how the largest federal tax-based policy intended to promote work and increase incomes among the poor'the Earned Income Tax Credit (EITC)'affects the socioeconomic standing of children who grew up in households affected by the policy. Using the universe of tax filer records for children linked to their parents, matched with demographic and household information from the decennial Census and American Community Survey data, we exploit exogenous differences by children's ages in the births and 'aging out' of siblings to assess the effect of EITC generosity on child outcomes. We focus on assessing mobility in the child income distribution, conditional on the parents' position in the parental income distribution. Our findings suggest significant and mostly positive effects of more generous EITC refunds on the next generation that vary substantially depending on the child's household type (single-mother or married family) and by the child's gender. All children except White children from single-mother households experience increases in cohort-specific income rank, own family income, and the probability of working at ages 25'26 in response to greater EITC generosity. Children from married households show a considerably stronger response on these measures than do children from single-mother households. Because of the concentration of family types within race groups, the more positive response among children from married households suggests the EITC might lead to higher within-generation racial income inequality. Finally, we examine how the impact of EITC generosity varies by the age at which children are exposed to higher benefits. These results suggest that children who first receive the more generous two-child treatment at later ages have a stronger positive response in terms of rank and family income than children exposed at younger ages.
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UNEMPLOYMENT DURATION AND GEOGRAPHIC MOBILITY: DO MOVERS FARE BETTER THAN STAYERS?
October 2014
Working Paper Number:
CES-14-41
This study uses a sample of unemployed workers constructed from the American
Community Survey and the LEHD database, to compare the unemployment durations of those who find subsequent employment by relocating to a metropolitan area outside of their originally observed residence, versus those who find employment in their original location. Results from a hazard analysis confirm the importance of many of the determinants of migration posited in the literature, such as age, education, and local labor market conditions. While simple averages and OLS estimates indicate that migrating for a new job reduces the probability of re-employment within a given time frame and lengthens the spell of unemployment in the aggregate, after controlling for selection into migration using an IV approach based on local house price changes, the results suggest that out-migrating for employment actually has a large and significant beneficial effect of shortening the time to re-employment. This implies that those who migrate for jobs in the data may be particularly disadvantaged in their ability to find employment and thus have a strong short-term incentive to relocate.
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