« Back to Results

CSQIEP Session: Applied Micro

Paper Session

Sunday, Jan. 4, 2026 8:00 AM - 10:00 AM (EST)

Philadelphia Convention Center, 201-B
Hosted By: American Economic Association & Committee on the Status of LGBTQ+ Individuals in the Economics Profession
  • Chair: Christopher Carpenter, Vanderbilt University

Hiring Discrimination Against Transgender Job Applicants in the US Labor Market

Emily Beam
,
University of Vermont
Ivy Stanton
,
University of Mannheim

Abstract

Discrimination against transgender individuals harms their well-being and contributes to lower incomes and higher poverty rates (Grant et al., 2011; Fumarco et al., 2023; Shannon, 2022; Abbate et al., 2024). Access to employment opportunities is a critical determinant of lifetime earnings and other outcomes, yet surveys document frequent discrimination against transgender individuals (Kattari et al., 2016). While recent studies show hiring discrimination against transgender applicants (Granberg et al., 2020; Eames, 2024), analyses examining intersections with gender and race remains limited, as does research on geographic variation, particularly given differences in state and local anti-trans policies (Bardales, 2013; Rainey et al., 2015).

We conducted a correspondence study to measure discrimination against transgender applicants and examine how it varies with applicant gender and race. We submitted roughly 5,600 resumes for entry-level jobs in food and retail sectors across 49 markets in 2023–2024. We signaled gender identity and race through names, pronouns, statements about differently gendered legal names to indicate transgender identity. We measured differences in callback rate between cisgender and transgender applicants and examined results by gender identity (cisgender and transgender women and men, as well as non-binary applicants) and race (Black vs. White applicants). Additionally, we test for heterogeneity between more and less trans-friendly states, using data on recent state-level anti-trans legislation introduced or passed.

This research provides large-scale experimental evidence on how gender identity, race, geography, and policy environments intersect in labor market discrimination. These results identify which demographic groups and geographic areas face the most severe employment discrimination, informing targeted policy interventions to protect transgender job seekers.

Hidden Biases: Selective Advertising in the Rental Housing Market

Daniel E. Gold
,
University of Wisconsin-Madison
Lu Han
,
University of Wisconsin-Madison
Christopher Timmins
,
University of Wisconsin-Madison

Abstract

A growing body of literature has documented persistent racial discrimination in rental housing markets, often using experimental (audit or correspondence) studies where fictitious identities request to view a housing unit. These methods are not designed to capture a subtle form of discrimination where landlords choose not to advertise certain units, instead reserving them for prospective tenants after an initial screening or other process to select renters on certain attributes. These selectively unadvertised units will not appear in the sample for an experimental analysis, potentially biasing the results of these studies. In this paper, we introduce an innovative method for detecting selective advertising. Our approach uses a large marketing dataset to track property units turnovers in 27 major U.S. metropolitan areas. We match this data with a rental listings dataset to identify turnover units that are not publicly advertised. By comparing the racial composition of occupants in listed versus “hidden” units and controlling for alternative factors that might account for racial sorting, we assess the extent of discrimination through selective advertising. We find that this form of discrimination against Black and Hispanic renters is particularly severe in neighborhoods with better amenities, where other forms of discrimination are more restricted, and in neighborhoods nearing “tipping points” in racial composition.

Testing Vertical Relationships in the US Infant Formula Market: Implications for Government Costs and Welfare

Yi Wang
,
Purdue University
Juan Sesmero
,
Purdue University
Meilin Ma
,
Purdue University

Abstract

The U.S. Special Supplemental Nutrition Program for Women, Infants, and Children (WIC) provides free infant formula to low-income households, serving 39% of U.S. infants and accounting for over half of all domestically sold formula, making it a substantial government expenditure. To minimize costs, WIC employs a rebate system that awards exclusive supply contracts to manufacturers offering the lowest net price in each state, effectively fostering monopoly power within the WIC market. The impact of this government-sanctioned monopoly on prices and welfare in the non-WIC segment of the infant formula market depends critically on the vertical relationships between manufacturers and retailers. However, this vertical structure remains poorly understood, limiting our ability to evaluate the trade-offs, if any, between cost savings in the WIC market and efficiency in the broader market. Using an enhanced Rivers and Vuong framework, we identify the vertical structure as being best characterized by two-part tariffs, wherein manufacturers pay fixed fees to retailers and retail margins are effectively zero. This identified structure enables us to conduct counterfactual analyses and quantify the trade-offs between cost savings and market efficiency.

Worker Location Preferences and Spatial Inequality: Evidence from a Centralized Assignment Mechanism

Palak Suri
,
West Virginia University

Abstract

The spatial distribution of women police officers has important implications for worker sorting and spatial inequalities, as their presence improves safety for women. To enhance workforce quality, a police administration in India adopted a centralized recruitment system using a deferred acceptance (DA) mechanism to match selected candidates with police units. Candidates are assigned a police unit based on their stated preferences, home district, rank in an entrance exam, affirmative action policies, and police units’ requirements. Leveraging administrative data on location assignments with the theoretical properties of the DA mechanism, I identify the location preferences of police officers. The stability property of the DA mechanism allows me to convert the two-sided matching problem into a revealed preference problem and estimate preferences using discrete choice models.

I find that women value proximity to home more than men: the average woman would be willing to accept a 12% reduction in base pay to be in the district closest to her home district, compared to 7% for men. Women also prefer flexible positions with fixed hours and routine desk duties. While both prefer areas with better infrastructure, women additionally prefer areas with fewer reports of sexual assaults.

Due to the scarcity of women officers and their uneven spatial distribution, the DA mechanism creates mismatches, leaving high-need regions underserved. Using estimated preferences, I compute the cost of a more equitable counterfactual mechanism that preserves the baseline DA system’s properties. The counterfactual adjusts vacancy inputs for women based on ex-post shortfall to ensure a uniform ex-post distribution of the share of unfilled positions for women across districts. However, it imposes a welfare loss, requiring 15% of base pay to compensate the average affected woman. The total annual cost is equivalent to hiring 125 additional women officers—just 10% of the overall shortfall relative to demand.

Discussant(s)
Christopher Carpenter
,
Vanderbilt University
David Schwegman
,
American University
Ruli Xiao
,
Indiana University
Nishith Prakash
,
Northeastern University
JEL Classifications
  • R3 - Real Estate Markets, Spatial Production Analysis, and Firm Location
  • L1 - Market Structure, Firm Strategy, and Market Performance