Derek Wu

Biographic Data

ID3772930
NAMEDerek Wu
GIVEN NAMESDerek
FAMILY NAMEWu
SIGNATUREWU D
AFFILIATIONSBruce D. Meyer is the McCormick Foundation Professor at the University of Chicago Harris School of Public Policy, a Research Associate at the National Bureau of Economic Research (NBER), and a Visiting Scholar at the American Enterprise Institute (AEI). Derek Wu is a PhD student at the University of Chicago Harris School of Public Policy
ORCID0009-0005-9948-1071
VERIFIEDYes
TOTAL WORKS6
TOTAL CITATIONS2
WORKS AS AUTHOR6
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2016
LATEST PUBLICATION YEAR2023
H-INDEX1

  • Give the Grant Money to the Youth’

    Derek Wu, Erin RaffetyARTICLEEcclesial Practices2023

    This paper uses sociological theories of religious change to explain findings from action research on intergenerational relations at two ethnic churches in the U.S. At the outset of our study, immigrant adults felt threatened that younger congregants preferred non-ethnic churches. When these churches used research funds to support youth development and outreach programs, they experienced intergenerational congregational belonging. We ask, do exis…

  • The Use and Misuse of Income Data and Extreme Poverty in the United States

    Bruce D Meyer, Bruce Meyer et al.ARTICLEJournal of Labor Economics2021

    Recent research suggests that the share of US households living on less than $2/person/day is high and rising. We reexamine such extreme poverty by linking SIPP and CPS data to administrative tax and program data. We find that more than 90% of those reported to be in extreme poverty are not, once we include in-kind transfers, replace survey reports of earnings and transfer receipt with administrative records, and account for ownership of substant…

  • Response to “The imaginary ‘Asian Super Consumer’

    Open AccessDaniel Bergin, Derek Wu et al.ARTICLEGeoforum2020

  • The Poverty Reduction of Social Security and Means-Tested Transfers

    Bruce Meyer, Derek WuREPORTNational Bureau of Economic…2018

    Many studies examine the anti-poverty effects of social insurance and means-tested transfers, relying solely on survey data with substantial errors. We improve on past work by linking administrative data from Social Security and five large means-tested transfers (SSI, SNAP, Public Assistance, the EITC, and housing assistance) to 2008-2013 Survey of Income and Program Participation data. Using the linked data, we find that Social Security cuts the…

  • The Poverty Reduction of Social Security and Means-Tested Transfers

    Open AccessBruce D Meyer, Bruce Meyer et al.ARTICLEIndustrial and Labor Relations…2018Cited by: 2References: 59

    This article is the fourth in a series to celebrate the 70th anniversary of the ILR Review. The series features articles that analyze the state of research and future directions for important themes this journal has featured over many years of publication. Starting with Survey of Income and Program Participation (SIPP) data from 2008 to 2013, the authors link administrative data from Social Security and five large means-tested transfers-Supplemen…

  • Development and Validation of a Deep Learning Algorithm for Detection of Diabetic Retinopathy in Retinal Fundus Photographs

    Varun Gulshan, Lily Peng et al.ARTICLEJAMA2016

    Importance: Deep learning is a family of computational methods that allow an algorithm to program itself by learning from a large set of examples that demonstrate the desired behavior, removing the need to specify rules explicitly. Application of these methods to medical imaging requires further assessment and validation. Objective: To apply deep learning to create an algorithm for automated detection of diabetic retinopathy and diabetic macular …