Jennifer Doleac

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Jennifer Doleac
CitizenshipUnited States
InstitutionTexas A&M University
FieldEconomics
Crime and Discrimination
Alma materWilliams College
Stanford University
Doctoral
advisor
Caroline Hoxby
Doctoral
students
Brittany Street, CarlyWill Sloan, Andrea Kelly[1]
Information at IDEAS / RePEc
Websitehttp://jenniferdoleac.com

Jennifer Doleac is an American economist and associate professor at Texas A&M Department of Economics, as well as Director of the Justice Tech Lab, a Nonresident Fellow in economics studies at the Brookings Institution, a research affiliate at the University of Chicago Crime Lab, and a research fellow at IZA. She specializes primarily in crime and racial discrimination.[2] She hosts the podcast Probable Causation, which is about law, economics, and crime.[3] She also co-organizes the "Online Seminar on Discrimination and Disparities."[4]

Education and career[edit]

Jennifer Doleac received her B.A. in Economics and Mathematics from Williams College in 2003. She completed her PhD in economics from Stanford University in 2012 and worked at the University of Virginia Batten School of Leadership and Public Policy from 2012 to 2018.[5] During this time, she also worked with The Lab @ DC as a crime consultant, and was a nonresident Fellow at the Brookings Institution.[6][7] She moved to Texas A&M Department of Economics as an associate professor with tenure in 2018.

Research and academic work[edit]

Doleac has published many academic studies and general interest pieces on crime, racial discrimination, and prisoner reentry.[8]

Racial discrimination[edit]

She and Luke Stein conducted a randomized controlled field experiment testing for racial discrimination in secondary markets.[9] The yearlong experiment consisted of approximately 1,200 online classified advertisements placed in over 300 areas throughout the United States, both small towns and large cities, with the intention of testing for racial bias among buyers. The experiment featured photographs of a person's hand holding an iPod. Doleac and Stein randomly varied the skin color of the person's hand: dark-skinned ("Black"), light-skinned ("White"), or light-skinned with a tattoo. In all other respects, the photographs were nearly identical. Consistent with other studies on racial bias in the marketplace, Doleac and Stein found that black sellers did considerably worse than white sellers along numerous dimensions. For instance, black sellers got 13 percent fewer responses and 18 percent fewer offers of purchase from interested buyers. When they did receive an offer, that offer was around 11 percent lower. These effects were similar to those associated with the white tattooed hand which was the placebo group in the study.

DNA databases[edit]

Doleac has also written on issues related to contemporary crime control, such as the use of DNA databases to deter and capture criminals, as well as the role of outside lighting. Her work on lighting with Nicholas J. Sanders used a 2007 natural experiment where Congress increased daylight saving time by four weeks.[10] They added three weeks in the spring and one week in the fall. Doleac and Sanders used this as an opportunity to study the effect that daylight, separate from other seasonal factors, might have on crime, and found that when daylight saving time began in the spring, robbery rates for the entire fell 7 percent with an additional 27 percent drop during the evening hour that gained extra sunlight. This study is relevant for broader consideration in crime control that focuses on expanding lighting to high crime areas with external lighting.

Doleac has also studied the role of DNA databases on reducing crime both through deterrence and capturing criminals (i.e., incapacitation). Several states have passed laws allowing DNA testing of arrestees. Following famous work by Nobel Laureate Gary Becker, Doleac hypothesizes that the availability of these DNA databased would deter criminals as well as catch criminals insofar as criminals are sensitive to the risk of arrest.[11] Violent offenders who have had their DNA collected and catalogued in digital databases were 23 percent more likely to be convicted of another crime implying that profiled offenders were caught more often than those who hadn't been stored in the database. Given the extraordinarily high costs of incarceration, Doleac suggests that DNA databases are considerably more cost-effective than other ways of reducing crime such as hiring more police or through incarceration.

Ban the Box[edit]

Doleac has also written extensively both an academic study and general interest writings on prisoner reentry. Prisoner reentry is a considerable challenge in the United States due to the ubiquity of background checks and the myriad of obstacles prisoners face reentering the labor force upon release. An increasingly popular policy at the federal, state and municipality level is the "ban the box" initiative. Employers often will ask applicants for jobs if they have any prior arrests or convictions by checking Yes or No on a "box". The ban the box initiative are laws, oftentimes at the city level, banning employers' right to ask this information of applicants during the earliest stages of the application process. In a 2018 article published in the Journal of Labor Economics, Doleac and Benjamin Hansen from the University of Oregon found that the laws had unintended consequences on the hiring of low skill minorities.[12] The authors found that ban the box policies lowered the chances of employment by 5 percent for young, low-skilled black men and almost 3 percent for young, low-skilled Hispanic men. The authors argue that this effect was caused by rampant statistical discrimination in labor markets. Without information on a candidate's criminal history, employers make extreme racially biased assumptions that the applicant is similar to his or her demographic. Thus seeing a black applicant, even one without a criminal history, the firm "fills in" the missing information by assuming he or she is like the group average, and thus is more likely to believe the applicant has a criminal history, even when they do not.

References[edit]

  1. ^ Doleac, Jennifer. "CV: Jennifer L. Doleac" (PDF). Retrieved September 24, 2020.
  2. ^ "Jennifer Doleac". Wellesley College. Retrieved February 26, 2019.
  3. ^ "Home". Probable Causation Podcast. Retrieved April 18, 2019.
  4. ^ Doleac, Jennifer. "Online Seminar on Discrimination and Disparities". Jennifer Doleac. Retrieved September 25, 2020.
  5. ^ Dame, Marketing Communications: Web // University of Notre. "Jennifer - Doleac // Wilson Sheehan Lab for Economic Opportunities // University of Notre Dame". Wilson Sheehan Lab for Economic Opportunities. Retrieved February 26, 2019.
  6. ^ "Jennifer L. Doleac". Brookings. September 8, 2015. Retrieved February 26, 2019.
  7. ^ "Jennifer Doleac | The Hamilton Project". www.hamiltonproject.org. Retrieved February 26, 2019.
  8. ^ "Jennifer Doleac | IZA - Institute of Labor Economics". www.iza.org. Retrieved February 26, 2019.
  9. ^ "The visible hand: Race and online market outcomes". Retrieved April 18, 2019.
  10. ^ Doleac, Jennifer L.; Sanders, Nicholas J. (2015). "Under the Cover of Darkness: How Ambient Light Influences Criminal Activity". The Review of Economics and Statistics. 97 (5): 1093–1103. doi:10.1162/rest_a_00547.
  11. ^ Doleac, Jennifer L. (2017). "The Effects of DNA Databases on Crime". American Economic Journal: Applied Economics. 9 (1): 165–201. doi:10.1257/app.20150043. ISSN 1945-7782.
  12. ^ Doleac, Jennifer L; Hansen, Benjamin (2016). "Does "Ban the Box" Help or Hurt Low-Skilled Workers? Statistical Discrimination and Employment Outcomes When Criminal Histories are Hidden". NBER Working Paper.

External links[edit]

Economist Jennifer Doleac of Texas A&M University talks with EconTalk host Russ Roberts about her research on crime, police, and the unexpected consequences of the criminal justice system. "Jennifer Doleac on Crime". Econlib. Retrieved February 26, 2019.