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        <datestamp>2023-09-05</datestamp>
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          <dc:contributor>Marx, Benjamin M.</dc:contributor>
          <dc:contributor>Marx, Benjamin M.</dc:contributor>
          <dc:contributor>Christensen, Peter</dc:contributor>
          <dc:contributor>Garin, Andrew L.</dc:contributor>
          <dc:contributor>Bartik, Alexander W.</dc:contributor>
          <dc:date>2023-05</dc:date>
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          <dc:language>en</dc:language>
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          <dc:description>Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2025-05-01</dc:description>
          <dc:description>The student, Daniel Rodrigues Silva Tabak, accepted the attached license on 2023-04-25 at 09:04.</dc:description>
          <dc:description>The student, Daniel Rodrigues Silva Tabak, submitted this Dissertation for approval on 2023-04-25 at 09:18.</dc:description>
          <dc:description>This Dissertation was approved for publication on 2023-04-26 at 14:44.</dc:description>
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          <dc:title>Essays on applied microeconomics</dc:title>
          <dc:creator>Rodrigues Silva Tabak, Daniel</dc:creator>
          <dc:date>2023-04-26</dc:date>
          <dc:subject>Welfare Removal</dc:subject>
          <dc:subject>Snap</dc:subject>
          <dc:subject>Tanf</dc:subject>
          <dc:subject>Medicaid</dc:subject>
          <dc:subject>Indiana</dc:subject>
          <dc:subject>Crime</dc:subject>
          <dc:subject>Financial Wellbeing.</dc:subject>
          <dc:description>This paper investigates the effect of losing welfare benefits on local household financial distress and crime. We estimate this effect using a quasi-experiment in which Indiana outsourced and automated the processing of TANF, food stamps, and Medicaid applications. Using consumer credit panel data, we explore this variation to find that the Indiana welfare automation program significantly increased the number of accounts in collections, collections balances, bankruptcy filings, and decreased credit scores. Using data from the Uniform Crime Reporting series, we find that welfare automation policy has also increased crime, primarily property crimes. In the second paper I use a propensity score matching strategy to estimate the returns to for-profit higher education on labor outcomes. We estimate that grant recipients had a relative increase in wages 0.40% four years after receiving the grant(Average Treatment on the Treated). Further, I evaluate potential heterogeneity in treatment effects on race, gender, and age. The unique empirical setting allows for estimating the impact for an extensive range of ages. I find consistently large returns even for older recipients. In the third paper, motivated by the literature in the intersection of economics and political science, I investigate if black mayor’s breakthrough elections might have contributed to the phenomenon of White flight from US cities. Our results suggest there were some demographic changes associated with the event of the breakthrough election, but we cannot fully separate or identify these effects from secular effects in U.S. cities.</dc:description>
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          <dc:language>eng</dc:language>
          <dc:identifier>https://hdl.handle.net/2142/120417</dc:identifier>
          <dc:rights>Copyright 2023 Daniel Rodrigues Silva Tabak</dc:rights>
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            <name>Ph.D.</name>
            <level>Dissertation</level>
            <discipline>Economics</discipline>
            <grantor>University of Illinois at Urbana-Champaign</grantor>
            <department>Economics</department>
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