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Mallory Avery

Personal Details

First Name:Mallory
Middle Name:
Last Name:Avery
Suffix:
RePEc Short-ID:pav95
[This author has chosen not to make the email address public]
https://www.malloryavery.com/
Terminal Degree:2020 Department of Economics; University of Pittsburgh (from RePEc Genealogy)

Affiliation

Department of Economics
Monash Business School
Monash University

Melbourne, Australia
http://business.monash.edu/economics
RePEc:edi:demonau (more details at EDIRC)

Research output

as
Jump to: Working papers Articles

Working papers

  1. Mallory Avery & Andreas Leibbrandt & Joseph Vecci, 2024. "Does Artificial Intelligence Help or Hurt Gender Diversity? Evidence from Two Field Experiments on Recruitment in Tech," CESifo Working Paper Series 10996, CESifo.
  2. Avery, Mallory & Giuntella, Osea & Jiao, Peiran, 2019. "Why Don't We Sleep Enough? A Field Experiment among College Students," IZA Discussion Papers 12772, Institute of Labor Economics (IZA).

Articles

  1. Mallory Avery & Jane Caldwell & Christian D. Schunn & Katherine Wolfe, 2024. "Improving introductory economics course content and delivery improves outcomes for women," The Journal of Economic Education, Taylor & Francis Journals, vol. 55(3), pages 216-231, July.
  2. Mallory Avery & Jessica LaVoice, 2023. "The effect of “failed” community mental health centers on non‐white mortality," Health Economics, John Wiley & Sons, Ltd., vol. 32(6), pages 1362-1393, June.

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Working papers

  1. Mallory Avery & Andreas Leibbrandt & Joseph Vecci, 2024. "Does Artificial Intelligence Help or Hurt Gender Diversity? Evidence from Two Field Experiments on Recruitment in Tech," CESifo Working Paper Series 10996, CESifo.

    Cited by:

    1. Pushkar Maitra & Ananta Neelim, 2024. "Discrimination in Developing Countries," Monash Economics Working Papers 2024-03, Monash University, Department of Economics.
    2. Tanvir Ahmed Khan, 2023. "Can Unbiased Predictive AI Amplify Bias?," Working Paper 1510, Economics Department, Queen's University.

  2. Avery, Mallory & Giuntella, Osea & Jiao, Peiran, 2019. "Why Don't We Sleep Enough? A Field Experiment among College Students," IZA Discussion Papers 12772, Institute of Labor Economics (IZA).

    Cited by:

    1. Costa-Font, Joan & Fleche, Sarah & Pagan, Ricardo, 2024. "The welfare effects of time reallocation: evidence from Daylight Saving Time," LSE Research Online Documents on Economics 120819, London School of Economics and Political Science, LSE Library.
    2. Zachary Breig & Matthew Gibson & Jeffrey Shrader, 2019. "Why Do We Procrastinate? Present Bias and Optimism," Department of Economics Working Papers 2019-15, Department of Economics, Williams College.
    3. Giuntella, Osea & Lonsky, Jakub & Mazzonna, Fabrizio & Stella, Luca, 2021. "Immigration policy and immigrants’ sleep. Evidence from DACA," Journal of Economic Behavior & Organization, Elsevier, vol. 182(C), pages 1-12.
    4. Jonathan James, 2023. "Let there be light: Daylight saving time and road traffic collisions," Economic Inquiry, Western Economic Association International, vol. 61(3), pages 523-545, July.
    5. Almond, Douglas & Du, Xinming, 2020. "Later bedtimes predict President Trump’s performance," Economics Letters, Elsevier, vol. 197(C).
    6. Jin, Lawrence & Ziebarth, Nicolas R., 2020. "Sleep, health, and human capital: Evidence from daylight saving time," Journal of Economic Behavior & Organization, Elsevier, vol. 170(C), pages 174-192.
    7. Joan Costa-Font, 2022. "Incentivizing sleep?," IZA World of Labor, Institute of Labor Economics (IZA), pages 502-502, November.

Articles

    Sorry, no citations of articles recorded.

More information

Research fields, statistics, top rankings, if available.

Statistics

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NEP Fields

NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 3 papers announced in NEP. These are the fields, ordered by number of announcements, along with their dates. If the author is listed in the directory of specialists for this field, a link is also provided.
  1. NEP-EXP: Experimental Economics (3) 2019-12-02 2023-06-12 2024-04-29. Author is listed
  2. NEP-HRM: Human Capital and Human Resource Management (2) 2023-06-12 2024-04-29. Author is listed
  3. NEP-LMA: Labor Markets - Supply, Demand, and Wages (2) 2023-06-12 2024-04-29. Author is listed
  4. NEP-AIN: Artificial Intelligence (1) 2024-04-29. Author is listed
  5. NEP-BIG: Big Data (1) 2023-06-12. Author is listed
  6. NEP-GEN: Gender (1) 2023-06-12. Author is listed
  7. NEP-HEA: Health Economics (1) 2019-12-02. Author is listed
  8. NEP-LTV: Unemployment, Inequality and Poverty (1) 2023-06-12. Author is listed

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