Most-cited articles · 2023

The 10 most-cited articles in American Economic Review, 2023

Ranked by OpenAlex citation count on 29 October 2026, out of 97 eligible articles American Economic Review published in 2023. Ranks are frozen; this page will not change. Number one, with 286 citations: An Alternative Explanation for the “Fed Information Effect”.

Cohort
97 articles
Listed
Top 10 (10.3%)
Open access
4 of 10
Snapshot
2026-10-29

The most-cited articles published in American Economic Review in 2023 cluster around several themes, including monetary policy and its transmission, the economic effects of populist leadership, and the labor market consequences of job loss and working conditions. The top paper, "An Alternative Explanation for the 'Fed Information Effect'" by Michael D. Bauer and Eric T. Swanson, leads with 286 citations. Other highly cited works examine regulation and innovation, market power in the intangible economy, and the gender gap in career advancement.

Readers can use this list to see which topics attracted the most citation attention among the 97 eligible articles. The ranking reflects citation counts from OpenAlex and does not by itself measure quality or importance. The titles and abstracts indicate the questions each paper addresses, while the counts show how often later research referred to them.

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  1. 1
    top 1.1%

    An Alternative Explanation for the “Fed Information Effect”

    Michael D. Bauer, Eric T. Swanson

    286 citationsdoi:10.1257/aer.20201220OpenAlex

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    Regressions of private-sector macroeconomic forecast revisions on monetary policy surprises often produce coefficients with signs opposite to standard macroeconomic models. The “Fed information effect” argues these puzzling results are due to monetary policy surprises revealing Fed private information. We show they are also consistent with a “Fed response to news” channel, where both the Fed and professional forecasters respond to incoming economic news. We present new evidence challenging the Fed information effect and supporting the Fed response to news channel, including: regressions that control for economic news, our own survey of professional forecasters, and financial market responses to FOMC announcements. (JEL D82, E23, E27, E43, E44, E52, E58)

  2. 2
    top 2.1%

    Populist Leaders and the Economy

    Manuel Funke, Moritz HP. Schularick, Christoph Trebesch

    247 citationsOpen access (CC-BY-NC-ND)doi:10.1257/aer.20202045OpenAlex

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    Populism at the country level is at an all-time high, with more than 25 percent of nations currently governed by populists. How do economies perform under populist leaders? We build a new long-run cross-country database to study the macroeconomic history of populism. We identify 51 populist presidents and prime ministers from 1900 to 2020 and show that the economic cost of populism is high. After 15 years, GDP per capita is 10 percent lower compared to a plausible nonpopulist counterfactual. Economic disintegration, decreasing macroeconomic stability, and the erosion of institutions typically go hand in hand with populist rule. (JEL D72, E23, N10, N40, O43)

  3. 3
    top 3.1%

    The Value of Working Conditions in the United States and Implications for the Structure of Wages

    Nicole Maestas, Kathleen J. Mullen, David Powell, Till von Wachter, Jeffrey Brian Wenger

    224 citationsOpen accessdoi:10.1257/aer.20190846OpenAlex

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    We document variation in working conditions in the United States, present estimates of how workers value these conditions, and assess the impact of working conditions on estimates of wage inequality. We conduct a series of stated-preference experiments to estimate workers’ willingness to pay for a broad set of working conditions, which we validate with actual job choices. We find that working conditions vary substantially, play a significant role in job choice, and are central components of the compensation received by workers. We find that accounting for differences in preferences for working conditions often exacerbates wage differentials and intensifies measures of wage inequality. (JEL J22, J28, J31, J81)

  4. 4
    top 4.2%

    The Impact of Regulation on Innovation

    Philippe Aghion, Antonin Bergeaud, John Michael Van Reenen

    205 citationsOpen accessdoi:10.1257/aer.20210107OpenAlex

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    Does regulation affect the pace and nature of innovation and if so, by how much? We build a tractable and quantifiable endogenous growth model with size-contingent regulations. We apply this to population administrative firm panel data from France, where many labor regulations apply to firms with 50 or more employees. Nonparametrically, we find that there is a sharp fall in the fraction of innovating firms just to the left of the regulatory threshold. Further, a dynamic analysis shows a sharp reduction in the firm’s innovation response to exogenous demand shocks for firms just below the regulatory threshold. We then quantitatively fit the parameters of the model to the data, finding that innovation at the macro level is about 5.4% lower due to the regulation, a 2.2% consumption equivalent welfare loss. Four-fifths of this loss is due to lower innovation intensity per firm rather than just a misallocation towards smaller firms and lower entry. We generalize the theory to allow for changes in the direction of R&D, and find that regulation’s negative effects only matter for incremental…

  5. 5
    top 5.2%

    Market Power and Innovation in the Intangible Economy

    Maarten de Ridder

    184 citationsOpen accessdoi:10.1257/aer.20201079OpenAlex

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    This paper offers a unified explanation for the slowdown of productivity growth, the decline in business dynamism, and the rise of market power. Using a quantitative framework, I show that the rise of intangible inputs, such as software, can explain these trends. Intangibles reduce marginal costs and raise fixed costs, which gives firms with high-intangible adoption a competitive advantage, in turn deterring other firms from entering. I structurally estimate the model on French and US micro data. After initially boosting productivity, the rise of intangibles causes a decline in productivity growth, consistent with the empirical trends observed since the mid-1990s. (JEL D22, D24, E23, L11, O31, O47)

  6. 6
    top 6.2%

    The Old Boys’ Club: Schmoozing and the Gender Gap

    Zoë Cullen, Ricardo Nicolas Perez Truglia

    166 citationsdoi:10.1257/aer.20210863OpenAlex

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    Offices are social places. Employees and managers take breaks together and talk about family and hobbies. In this study, we show that employees’ social interactions with their managers can be advantageous for their careers, and that this phenomenon contributes to the gender pay gap. We use administrative and survey data from a large financial institution and exploit quasi-random variation induced by the rotation of managers. We provide evidence that when employees have more face-to-face interactions with their managers, they are promoted at a higher rate. This mechanism could explain a third of the gender gap in promotions at this firm. (JEL G21, J16, J31, J71, M12, M51, Z13)

  7. 7
    top 7.3%

    The Long and Short (Run) of Trade Elasticities

    Christoph E. Boehm, Andrei A. Levchenko, Nitya Pandalai-Nayar

    153 citationsdoi:10.1257/aer.20210225OpenAlex

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    When countries change most favored nation (MFN) tariffs, partners that trade on MFN terms experience plausibly exogenous tariff changes. Using this variation, we estimate the trade elasticity at short and long horizons with local projections. We find that the elasticity of tariff-exclusive trade flows is −0.76 in the short run, and approximately −2 in the long run. Our long-run estimates are smaller than typical in the literature, and it takes 7 to10 years to converge to the long run, implying that (i) the welfare gains from trade are high and (ii) there are substantial convexities in the costs of adjusting exports. (JEL C51, F13, F14)

  8. 8
    top 8.3%

    Technological Change and the Consequences of Job Loss

    John Carter Braxton, Bledi Taska

    136 citationsdoi:10.1257/aer.20210182OpenAlex

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    We examine the role of technological change in explaining the large and persistent decline in earnings following job loss. Using detailed skill requirements from the near universe of online vacancies, we estimate technological change by occupation and find that technological change accounts for 45 percent of the decline in earnings after job loss. Technological change lowers earnings after job loss by requiring workers to have new skills to perform newly created jobs in their prior occupation. When workers lack the required skills, they move to occupations where their skills are still employable but are paid a lower wage. (JEL J24, J31, J63, O33)

  9. 9
    top 9.3%

    The Reversal Interest Rate

    Joseph Abadi, Markus Konrad Brunnermeier, Yann Koby

    128 citationsdoi:10.1257/aer.20190150OpenAlex

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    The reversal interest rate is the rate at which accommodative monetary policy reverses and becomes contractionary for lending. We theoretically demonstrate its existence in a macroeconomic model featuring imperfectly competitive banks that face financial frictions. When interest rates are cut too low, further monetary stimulus cuts into banks’ profit margins, depressing their net worth and curtailing their credit supply. Similarly, when interest rates are low for too long, the persistent drag on bank profitability eventually outweighs banks’ initial capital gains, also stifling credit supply. We quantify the importance of this mechanism within a calibrated New Keynesian model. (JEL E12, E32, E43, E44, E52, G21, L25)

  10. 10
    top 10.4%

    The Costs of Job Displacement over the Business Cycle and Its Sources: Evidence from Germany

    Johannes F. Schmieder, Till von Wachter, Jörg Heining

    105 citationsdoi:10.1257/aer.20200252OpenAlex

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    We document the sources behind the costs of job loss over the business cycle using administrative data from Germany. Losses in annual earnings after displacement are large, persistent, and highly cyclical, nearly doubling in size during downturns. A large part of the long-term earnings losses and their cyclicality is driven by declines in wages. Key to these long-lasting wage declines and their cyclicality are changes in employer characteristics, as displaced workers switch to lower-paying firms. These losses increase with duration of nonemployment. Changes in characteristics of displaced workers or displacing firms, and other post-job loss career outcomes explain little of the cyclicality. (JEL E24, E32, J31, J63, J64, J65)

How to read this list

The cohort is every article, review and book chapter OpenAlex attributes to American Economic Review with publication year 2023, excluding retracted works and paratext such as editorials and errata. The top 10 by citation count are listed; the percentile is the rank divided by the cohort size. 10 of the 10 entries have an abstract in OpenAlex. Counts were read on 29 October 2026 and will not be updated on this page, so a quoted rank stays verifiable. Full rules on the methodology page.

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