The presence of employers and jobs on American Indian reservations has been difficult to analyze due to limited data. We are the first to geocode confidential data on employer establishments from the U.S. Census Longitudinal Business Database to identify location on or off American Indian reservations. We identify the per capita establishment count and jobs in reservation-based employer establishments for most federally recognized reservations. Comparisons to nearby non-reservation areas in the lower 48 states across 18 industries reveal that reservations have a similar sectoral distribution of employer establishments but have significantly fewer of them in nearly all sectors, especially when the area population is below 15,000 (as it is on the vast majority of reservations and for the majority of the reservation population). By contrast, the total number of jobs provided by reservation establishments is, on average, at par with or somewhat higher than in nearby county areas but is concentrated among casino-related and government employers. An implication is that average job numbers per establishment are higher in these sectors on reservations, including those with populations below 15,000, while the remaining industries are typically sparser within reservations (in firm count and jobs per capita). Geographic and demographic factors, such as population density and per capita income, statistically account for some but not all of these differences.
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Reservation Nonemployer and Employer Establishments: Data from U.S. Census Longitudinal Business Databases
December 2018
Working Paper Number:
CES-18-50
The presence of businesses on American Indian reservations has been difficult to analyze due to limited data. Akee, Mykerezi, and Todd (AMT; 2017) geocoded confidential data from the U.S. Census Longitudinal Business Database to identify whether employer establishments were located on or off American Indian reservations and then compared federally recognized reservations and nearby county areas with respect to their per capita number of employers and jobs. We use their methods and the U.S. Census Integrated Longitudinal Business Database to develop parallel results for nonemployer establishments and for the combination of employer and nonemployer establishments. Similar to AMT's findings, we find that reservations and nearby county areas have a similar sectoral distribution of nonemployer and nonemployer-plus-employer establishments, but reservations have significantly fewer of them in nearly all sectors, especially when the area population is below 15,000. By contrast to AMT, the average size of reservation nonemployer establishments, as measured by revenue (instead of the jobs measure AMT used for employers), is smaller than the size of nonemployers in nearby county areas, and this is true in most industries as well. The most significant exception is in the retail sector. Geographic and demographic factors, such as population density and per capita income, statistically account for only a small portion of these differences. However, when we assume that nonemployer establishments create the equivalent of one job and use combined employer-plus-nonemployer jobs to measure establishment size, the employer job numbers dominate and we parallel AMT's finding that, due to large job counts in the Arts/Entertainment/Recreation and Public Administration sectors, reservations on average have slightly more jobs per resident than nearby county areas.
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Business Dynamics on American Indian Reservations: Evidence from Longitudinal Datasets
November 2020
Working Paper Number:
CES-20-38
We use confidential US Census Bureau data to analyze the difference in business establishment dynamics by geographic location on or off of American Indian reservations over the period of the Great Recession, and subsequent recovery (2007-2016). We geocoded U.S. Census Bureau's Longitudinal Business Database, a dataset with records of all employer business establishments in the U.S. for location in an American Indian Reservation and used it to examine whether there are differences in business establishment survival rates over time by virtue of their location. We find that business establishments located on American Indian reservations have higher survival rates than establishments located in comparable counties. These results are particularly strong for the education, arts and entertainment, wholesale and retail, and public administration industries. While we are not fully able to explain this result, it is consistent with the business establishments being positively selected with respect to survival given the large obstacles necessary to start a business on a reservation in the first place. Alternatively, there may be certain safeguards in a reservation economy that protect business establishments from external economic shocks.
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A Note on the Locational Determinants of the Agricultural Supply Chain
July 2021
Working Paper Number:
CES-21-16
Over the past several decades, an increasing share of the agricultural supply chain is located beyond the farmgate, implying that some set of economic factors are influencing the location decisions of food and agricultural establishments. We explore the location decisions of several food and agricultural industries for employer and non-employer establishments by expanding on the empirical implications of Carpenter et al. (2021)'s demand threshold models. While Carpenter et al. (2021) focus on methods to estimate these industries' demand thresholds using restricted access data, we focus on expanding the interpretations of their empirical research and explore additional industries along the agricultural supply chain using their refined methods. Results highlight the influential role of the Land Grant University system for specific establishment types, the importance of diverse industries within local economies, and the changing rurality of the agricultural supply chain.
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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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Civic Community in Small-Town America: How Civic Welfare is Influenced by Local Capitalism and Civic Engagement
December 2001
Working Paper Number:
CES-01-19
The aims of this paper are twofold: first, to gain a fuller understanding of factors that foster community cohesion and contribute to the residents' social and economic well-being; and, second, to move beyond previous research that used larger spatial units such as states, counties, or aggregates of counties and to focus instead on American small towns (population 2,500-20,000). The data on small towns are drawn from public-use files and from confidential microdata from various economic censuses. From these sources we construct measures of locally oriented firms, self-employment, business establishments that serve as gathering places, and associations. The local capitalism and civic engagement variables generally perform as hypothesized; in some cases they are related quite strongly to civic welfare outcomes such as income levels, poverty rates, and nonmigration rates. We discuss the advantages and disadvantages of working with place-level data and suggest some strategies for subsequent work on small towns and other incorporated places.
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Small Business Pulse Survey Estimates by Owner Characteristics and Rural/Urban Designation
September 2021
Working Paper Number:
CES-21-24
In response to requests from policymakers for additional context for Small Business Pulse Survey (SBPS) measures of the impact of COVID-19 on small businesses, we researched developing estimates by owner characteristics and rural/urban locations. Leveraging geographic coding on the Business Register, we create estimates of the effect of the pandemic on small businesses by urban and rural designations. A more challenging exercise entails linking micro-level data from the SBPS with ownership data from the Annual Business Survey (ABS) to create estimates of the effect of the pandemic on small businesses by owner race, sex, ethnicity, and veteran status. Given important differences in survey design and concerns about nonresponse bias, we face significant challenges in producing estimates for owner demographics. We discuss our attempts to meet these challenges and provide discussion about caution that must be used in interpreting the results. The estimates produced for this paper are available for download. Reflecting the Census Bureau's commitment to scientific inquiry and transparency, the micro data from the SBPS will be available to qualified researchers on approved projects in the Federal Statistical Research Data Center network.
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THE IMPACT OF LATINO-OWNED BUSINESS ON LOCAL ECONOMIC PERFORMANCE
January 2016
Working Paper Number:
CES-16-34
This paper takes advantage of the Michigan Census Research Data Center to merge limited-access Census Bureau data with county level information to investigate the impact of Latino-owned business (LOB) employment share on local economic performance measures, namely per capita income, employment, poverty, and population growth. Beginning with OLS and then moving to the Spatial Durbin Model, this paper shows the impact of LOB overall employment share is insignificant. When decomposed into various industries, however, LOB employment share does have a significant impact on economic performance measures. Significance varies by industry, but the results support a divide in the impact of LOB employment share in low and high-barrier industries.
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Industrial Concentration of Ethnic Minority- and Women-Owned Businesses in the United States
June 2013
Working Paper Number:
CES-13-34
The number of ethnic minority and women-owned businesses has increased rapidly during the past few decades. However, the characteristics of these businesses and their owners differ by race, ethnicity, and gender. Using a confidential national survey of ethnic minority and women-owned businesses in the United States, this study examines ethnic minority- and women-owned businesses segmented by industrial sectors. Consistent with gender occupational segregation, male- and female- owned businesses have distinctive sectoral concentration patterns, with ethnic minority women- owned businesses highly concentrated in a limited number of industrial sectors. However, the relationship between business sectoral concentration and business performance is not uniform across ethnic and gender groups. Concentration in specific industrial sectors does not necessarily mean poor performance when measured by sales, size of employment or payrolls. However, for women-owned businesses, those sectors obviously pay less and have marginal profits, especially if considering the size of the firms.
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A Shore Thing: Post-Hurricane Outcomes for Businesses in Coastal Areas
September 2020
Working Paper Number:
CES-20-27
During the twenty-first century, hurricanes, heavy storms, and flooding have affected many areas in the United States. Natural disasters and climate change can cause property damage and could have an impact on a variety of business outcomes. This paper builds upon existing research and literature that analyzes the impact of natural disasters on businesses. Specifically, we look at the differential effect of eight hurricanes during the period 2000-2009 on establishments in coastal counties relative to establishments in coastal-adjacent or inland counties. Our outcomes of interest include establishment employment and death. We find that following a hurricane event, establishments located in a coastal county have lower employment and increased probability of death relative to establishments in non-coastal counties.
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The Underserved Have Less Access to Employer-Sponsored Telemedicine Coverage
September 2022
Working Paper Number:
CES-22-40
Telemedicine has been proposed as one means of improving health care access for underserved communities, and information about insurance coverage for telemedicine (TMC) is important in understanding its utilization and provision. We use 2018-2019 Medical Expenditure Panel Survey-Insurance Component data on employer-sponsored coverage to examine pre-pandemic TMC relative to employer, worker, and health plan characteristics. We find that the share of employees in private sector establishments offering TMC was lower in the most rural counties, in smaller firms, in establishments without unionized employees, and in establishments where most workers were low wage, part-time and older when compared to other establishments. These findings reflect differences across establishments in insurance offers, as well as differences in TMC conditional on an insurance offer, which suggests that TMC may function as a premium plan feature with limited availability and potential support for improving healthcare access for the underserved.
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