Christian Valencia

Christian Valencia

Ph.D. (c) in Agricultural and Applied Economics at University of Illinois at Urbana-Champaign

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portfolio

publications

Soft Skills and Hiring Discrimination

Published:

Hiring discrimination remains widespread in labor markets, raising questions about what workers can do to improve their chances of being considered for jobs in such settings. This paper examines whether soft skills are valued by employers and whether they can help mitigate discrimination. Using a correspondence study in Malaysia, we test the effects of signaling two soft skills: leadership and teamwork. We find that Malay and Indian sounding names are 11 and 14 percentage points less likely to be contacted, compared to Chinese sounding names. Soft skills are not explicitly demanded by employers, but signaling teamwork skills significantly reduces the discrimination gap in 43% and 33% for Malay and Indian candidates. We present a model that uses the soft skill signal to disentangle if the nature of discrimination is statistical or taste-based. Our results are consistent with statistical discrimination and highlight the potential of soft skills as a strategic signal to counteract hiring discrimination.

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Paper Title Number 4

Published:

This paper is about fixing template issue #693.

Recommended citation: Your Name, You. (2024). "Paper Title Number 3." GitHub Journal of Bugs. 1(3).
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Visa Regulations, Agricultural Employment, and Productivity

Published:

The H-2A visa program was established to address labor shortages in U.S. agriculture by allowing farms to hire foreign temporary workers. Participating employers are required to pay both foreign and domestic workers performing comparable tasks a minimum hourly wage known as the Adverse Effect Wage Rate. This paper examines how increases in visa wages affect farms’ allocation of agricultural inputs. Using data from the USDA Census of Agriculture from 2002 to 2022, I implement a border-county pair design that compares counties across state lines. I find that a 1% increase in the visa wage leads to a 3.9% increase in the intensive margin of intermediate input use and a 1.1% increase on the extensive use. Higher visa wages also increase the value of machinery by 1.2%, consistent with labor-costinduced mechanization. The resulting input substitution contributes to higher agricultural productivity.

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Soft Skills and Hiring Discrimination

with Sarah Janzen, Yashodhan Ghorpade and Amanina Abdur Rahman

Hiring discrimination remains widespread in labor markets, raising questions about what workers can do to improve their chances of being considered for jobs in such settings. This paper examines whether soft skills are valued by employers and whether they can help mitigate discrimination. Using a correspondence study in Malaysia, we test the effects of signaling two soft skills: leadership and teamwork. We find that Malay and Indian sounding names are 11 and 14 percentage points less likely to be contacted, compared to Chinese sounding names. Soft skills are not explicitly demanded by employers, but signaling teamwork skills significantly reduces the discrimination gap in 43% and 33% for Malay and Indian candidates. We present a model that uses the soft skill signal to disentangle if the nature of discrimination is statistical or taste-based. Our results are consistent with statistical discrimination and highlight the potential of soft skills as a strategic signal to counteract hiring discrimination. Figure 2

Recommended citation: Valencia, C., Janzen, S., Ghorpade, Y., & Rahman, A. (2024). Soft Skills, Competition, and Hiring Discrimination.
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Visa Regulations, Agricultural Employment, and Productivity

The H-2A visa program provides US farms access to foreign seasonal labor but requires employers to pay a federally mandated minimum hourly wage, the Adverse Effect Wage Rate, to both foreign and domestic workers performing comparable tasks. This paper studies how increases in the H-2A visa wage affect farms’ allocation of agricultural inputs. Using county-level data from the 2002–2022 USDA Census of Agriculture and a border-county pair design that compares counties across state lines, I show that higher visa wages lead farms to substitute away from labor and toward capital and materials. I find that a 1% increase in the visa wage on average leads to a 1.2% increase in machinery values, increases intermediate input use by 3.9% on the intensive margin, and expands the range of inputs used by 1.1% on the extensive margin. I find no effect on employment or payrolls. The results are consistent with labor-cost-driven mechanization and input intensification, which together contribute to higher agricultural productivity. Figure 1

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  • Diversity in Academia (with Anjali Adukia, Elisa Xi Chen, Marieke Kleemans and Anna Gifty Opoku-Agyeman

  • From Metro Lines to Market Values: A Case Study of Rail Expansion and Land Prices in Buenos Aires (with Gustavo Nino)

  • How Do Land Use and Crop Choices Respond to Labor Costs? (with Samyam Shrestha)

talks

teaching

Teaching Assistant

Undegraduate and Masters courses, University of Illinois at Urbana-Champaign, 2024

  • Behavioral Economics and Financial Decision Making. Spring 2025
  • Global Agribusiness Management. Spring 2025
  • Environmental Justice and Food Security. Fall 2024
  • Applied Statistics Methods and Data Analytics. Spring 2024
  • Big Data Analytics in Finance. Fall 2023
  • Environmental Economics. Fall 2022 – Spring 2023
  • Intermediate Microeconomic Theory. Fall 2020 – Spring 2021

Instructor

Undergraduate course, University of Illinois at Urbana-Champaign, 2025

  • Behavioral Economics and Financial Decision Making. Fall 2025