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Nova · Professor Researcher · re-ranking top 20…

William Fuchs

· Professor

University of Texas at Austin · Finance

Active 1976–2025

h-index17
Citations1.2k
Papers7613 last 5y
Funding$274k
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Research topics

  • Economics
  • Microeconomics
  • Computer Science
  • Mathematics
  • Business
  • Econometrics
  • Industrial organization

Selected publications

  • A Trilemma for Asset Demand Estimation

    SSRN Electronic Journal · 2025-01-01

    preprintOpen access1st authorCorresponding
  • A Note on Koijen and Yogo's Cross-sectional Demand Estimator

    SSRN Electronic Journal · 2025-01-01 · 1 citations

    preprintOpen access1st authorCorresponding
  • Recommendations for Improving End-User Programming Education: A Case Study with Undergraduate Chemistry Students

    Journal of Chemical Education · 2024-07-05 · 6 citations

    articleOpen access1st author

    Programming is widespread in multiple domains and is being integrated into various discipline-specific university courses where, like students in a typical introductory computing course, students from other disciplines face challenges with learning to program. We offer a case study in which we study undergraduate students majoring in either chemistry or biochemistry as they learn programming in a physical chemistry course sequence. Using surveys and think-aloud sessions with students, we conducted a thematic content analysis to explain the challenges they face in this endeavor. We found that students struggled to transfer their programming knowledge to new representations and problems, and they did not have strategies in place for solving problems with programming. These facts combine to lower students' confidence in their programming abilities, making it less likely that they will reach for computing to help solve domain-specific problems. We recommend that students in end-user programming contexts be explicitly taught the skills of abstraction, decomposition, and metacognitive awareness as they pertain to programming.

  • Rules versus Disclosure: Prudential Regulation and Market Discipline

    SSRN Electronic Journal · 2024-01-01 · 4 citations

    articleOpen access1st authorCorresponding
  • Who to Listen to? A Model of Endogenous Delegation

    SSRN Electronic Journal · 2023-01-01 · 1 citations

    preprintOpen access1st authorCorresponding
  • Demand-System Asset Pricing: Theoretical Foundations

    SSRN Electronic Journal · 2023-01-01 · 9 citations

    articleOpen access1st authorCorresponding
  • Self-enforcing contracts with persistence

    Journal of Monetary Economics · 2022-03-30 · 1 citations

    articleOpen access
  • SMS Training and Micro-Entrepreneurship Performance

    SSRN Electronic Journal · 2022-01-01

    articleOpen access1st authorCorresponding
  • Optimal Arrangements for Distribution in Developing Markets: Theory and Evidence

    American Economic Journal Microeconomics · 2022 · 4 citations

    1st authorCorresponding
    • Industrial organization
    • Business
    • Microeconomics

    A large literature examines demand-side barriers to product adoption. In this paper, we examine supply-side barriers in a setting with limited contract enforcement. We model the relationship between a distributor and its credit-constrained vendors. We show that the optimal self-enforcing arrangement can be implemented by providing vendors with a line of credit and the option to buy additional units at a fixed price. Moreover, the structure of this arrangement is optimal both for profit-maximizing firms and for nonprofit organizations with limited resources. We test the arrangement using a field experiment in rural Uganda. We find that the model-implied optimal arrangement increased distribution significantly compared to a standard contract. However, growth was lower than predicted by the model because vendors were unwilling to extend credit to customers and did not have access to a reliable savings technology. We discuss several recent technological innovations that help to overcome both of these challenges. (JEL C93, D86, G31, L14, L26, L31, O14)

  • Dynamic Bargaining with Private Information

    2022-01-01

    book-chapterOpen access1st author

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