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Self-Reporting Race in Small Business Loans: A Game-Theoretic Analysis of Evidence from PPP Loans in Durham, NC

By Raffi E. ³Ò²¹°ù³¦Ã­²¹ and William A. Darity Jr.

òòò½Íø Papers and Proceedings, May 2022

Using hand-collected race information about small business owners that concealed their race in Paycheck Protection Program applications, we find evidence that not disclosing race information in loan applications pays off significantly. Our results show th...

Soft Skills in the Youth Labor Market

By Sara B. Heller and Judd B. Kessler

òòò½Íø Papers and Proceedings, May 2022

This paper provides new descriptive evidence about which soft skills employers value in young, entry-level workers. We ran employer surveys as part of an experiment to generate letters of recommendation for New York City's Summer Youth Employment Program ...

What's in a Job? Evaluating the Effect of Private Sector Employment Experience on Student Academic Outcomes

By Alicia Sasser Modestino, Urbashee Paul, and Joseph McLaughlin

òòò½Íø Papers and Proceedings, May 2022

Although subsidized summer jobs programs have been shown to improve youth outcomes, little is known about the effects of private sector employment experiences. We study a unique program that brokers employer-paid summer internships for youth across a vari...

Parental Investments in Early Childhood and the Gender Gap in Math and Literacy

By Amanda Chuan, John A. List, Anya Samek, and Shreemayi Samujjwala

òòò½Íø Papers and Proceedings, May 2022

Parental investments shape children's educational specializations. Using a longitudinal study, we find that parents invest more in daughters than sons at ages three through five. We find that early parental investment can explain persistently higher Engli...

How Early Adolescent Skills and Preferences Shape Economics Education Choices

By Lenka Fiala, John Eric Humphries, Juanna Schrøter Joensen, Uditi Karna, John A. List, and Gregory F. Veramendi

òòò½Íø Papers and Proceedings, May 2022

Leveraging data from Sweden and Chicago, we study the educational pipeline for science, technology, engineering, and mathematics (STEM) and economics majors to better understand the determinants of the gender gap and when these determinants arise. We pres...

Online Tutoring by College Volunteers: Experimental Evidence from a Pilot Program

By Matthew A. Kraft, John A. List, Jeffrey A. Livingston, and Sally Sadoff

òòò½Íø Papers and Proceedings, May 2022

In-person tutoring programs can have large impacts on K-12 student achievement, but high program costs and limited local supply of tutors have hampered scale-up. Online tutoring provided by volunteers can potentially reach more students in need. We implem...

The Effect of Teaching Economics with Classroom Experiments: Estimates from a Within-Subject Experiment

By Sacha Gelfer, Jeffrey A. Livingston, and Sutanuka Roy

òòò½Íø Papers and Proceedings, May 2022

Classroom experiments are a popular tool among economics instructors. A rich experimental literature studies their impact on student learning with between-subject designs that randomize classroom experiment use across course sections. Such designs are dif...

Building a Consumption Poverty Measure: Initial Results Following Recommendations of a Federal Interagency Working Group

By Grayson Armstrong, Caleb Cho, Thesia I. Garner, Brett Matsumoto, Juan Munoz, and Jake Schild

òòò½Íø Papers and Proceedings, May 2022

Consumption is a well-being measure that is determined by a combination of resources (e.g., income, in-kind benefits, assets, debt, time) available to households, their circumstances, and their preferences. In this study, we derive consumption poverty sta...

Income Declines during COVID-19

By Jeff Larrimore, Jacob Mortenson, and David Splinter

òòò½Íø Papers and Proceedings, May 2022

The COVID-19 recession caused regressive market income changes in the United States, with large losses more frequent than during the Great Recession and more concentrated at the bottom of the distribution. Progressive taxes and transfers, especially from ...

SVAR Identification from Higher Moments: Has the Simultaneous Causality Problem Been Solved?

By José Luis Montiel Olea, Mikkel ±Ê±ô²¹²µ²ú´Ç°ù²µ-²Ñø±ô±ô±ð°ù, and Eric Qian

òòò½Íø Papers and Proceedings, May 2022

Two recent strands of the structural vector autoregression literature use higher moments for identification, exploiting either non-Gaussianity or heteroskedasticity. These approaches achieve point identification without exclusion or sign restrictions. We ...