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David Berger

David Berger

· Clinical Professor of Finance

Duke University · Operations Management

Active 1946–2024

h-index43
Citations5.5k
Papers21865 last 5y
Funding
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About

David Berger is an associate professor of economics at Duke University, serving as a professor (by courtesy) in the Fuqua School of Business. His research interests include macroeconomics and monetary policy, housing, labor markets, and finance. He is involved in various programs at Duke Fuqua, including the Daytime MBA, Executive MBA, and Master of Business, Climate, and Sustainability (MBCS). His academic and professional focus centers on understanding economic dynamics within these areas, contributing to the broader field through his teaching and research activities.

Research topics

  • Economics
  • Monetary economics
  • Business
  • Macroeconomics
  • Microeconomics
  • Finance
  • Political Science
  • Financial system
  • Labour economics
  • Biology
  • Genetics
  • Surgery
  • Market economy
  • Emergency medicine
  • Econometrics
  • Immunology
  • Actuarial science
  • Medicine
  • Evolutionary biology
  • Pathology
  • Virology

Selected publications

  • Refinancing Frictions, Mortgage Pricing and Redistribution

    SSRN Electronic Journal · 2024 · 10 citations

    1st authorCorresponding
    • Political Science
    • Economics
    • Business
  • Optimal Mortgage Refinancing with Inattention

    SSRN Electronic Journal · 2024 · 1 citations

    1st authorCorresponding
    • Business
    • Financial system
    • Economics
  • Developmental bias predicts 60 million years of wing shape evolution

    Proceedings of the National Academy of Sciences · 2023 · 51 citations

    Senior authorCorresponding
    • Biology
    • Evolutionary biology
    • Genetics

    wing shape aligns with the effects of allometry, but less so with putatively adaptive thermal plasticity and population differentiation along latitude. Our findings demonstrate that developmental bias in fly wings predicts evolvability and macroevolutionary trajectories on a much greater scale than previously appreciated but also suggest that causal explanations for such alignments may go beyond simple constraint hypotheses.

  • Labor Market Power

    American Economic Review · 2022 · 248 citations

    1st authorCorresponding
    • Economics
    • Labour economics
    • Microeconomics

    We develop, estimate, and test a tractable general equilibrium model of oligopsony with differentiated jobs and concentrated labor markets. We estimate key model parameters by matching new evidence on the relationship between firms’ local labor market share and their employment and wage responses to state corporate tax changes. The model quantitatively replicates quasi-experimental evidence on imperfect productivity-wage pass-through and strategic wage setting of dominant employers. Relative to the efficient allocation, welfare losses from labor market power are 7.6 percent, while output is 20.9 percent lower. Lastly, declining local concentration added 4 percentage points to labor’s share of income between 1977 and 2013. (JEL E25, H71, J24, J31, J42, R23)

  • Mortgage Prepayment and Path-Dependent Effects of Monetary Policy

    American Economic Review · 2021 · 147 citations

    1st authorCorresponding
    • Economics
    • Monetary economics
    • Macroeconomics

    How much ability does the Fed have to stimulate the economy by cutting interest rates? We argue that the presence of substantial debt in fixed-rate, prepayable mortgages means that the ability to stimulate the economy by cutting interest rates depends not just on their current level but also on their previous path. Using a household model of mortgage prepayment matched to detailed loan-level evidence on the relationship between prepayment and rate incentives, we argue that recent interest rate paths will generate substantial headwinds for future monetary stimuli. (JEL E32, E43, E52, E58, G21, G51)

  • Testing and reopening in an SEIR model

    Review of Economic Dynamics · 2020 · 74 citations

    1st authorCorresponding
    • Medicine
    • Econometrics
    • Economics

Frequent coauthors

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