Most-cited articles · 2018
The 10 most-cited articles in The Quarterly Journal of Economics, 2018
Ranked by OpenAlex citation count on 29 October 2026, out of 33 eligible articles The Quarterly Journal of Economics published in 2018. Ranks are frozen; this page will not change. Number one, with 1,722 citations: Global Evidence on Economic Preferences*.
- Cohort
- 33 articles
- Listed
- Top 10 (30.3%)
- Open access
- 6 of 10
- Snapshot
- 2026-10-29
The most-cited articles published in The Quarterly Journal of Economics in 2018 are led by work on economic preferences, intergenerational mobility, and inequality. The top paper, "Global Evidence on Economic Preferences" by Armin Falk, Anke Becker, Thomas Dohmen and coauthors, presents the Global Preference Survey and has 1,722 citations. It is followed by two studies by Raj Chetty and Nathaniel Hendren on how neighborhoods shape intergenerational mobility, with 1,142 and 722 citations, and by "Firming Up Inequality," which uses matched employer-employee data to examine firms and earnings inequality.
The list draws on 33 eligible articles and ranks them by OpenAlex citation counts. It offers a neutral snapshot of which 2018 research in the journal has been cited most, spanning preferences, mobility, inequality, statistical methods, returns on capital, health care prices, innovation, corruption, and energy efficiency. Readers can use it to see the topics and papers that have attracted the most attention in this count.
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- 1top 3.1%
Global Evidence on Economic Preferences*
Armin Falk, Anke Becker, Thomas Dohmen, Benjamin Enke, David Huffman and 1 more
1,722 citationsOpen access (CC-BY-NC)doi:10.1093/qje/qjy013OpenAlex
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This article studies the global variation in economic preferences. For this purpose, we present the Global Preference Survey (GPS), an experimentally validated survey data set of time preference, risk preference, positive and negative reciprocity, altruism, and trust from 80,000 people in 76 countries. The data reveal substantial heterogeneity in preferences across countries, but even larger within-country heterogeneity. Across individuals, preferences vary with age, gender, and cognitive ability, yet these relationships appear partly country specific. At the country level, the data reveal correlations between preferences and biogeo-graphic and cultural variables, such as agricultural suitability, language structure, and religion. Variation in preferences is also correlated with economic outcomes and behaviors. Within countries and subnational regions, preferences are linked to individual savings decisions, labormarket choices, and prosocial behaviors. Across countries, preferences vary with aggregate outcomes ranging from per capita income, to entrepreneurial activities, to the…
- 2top 6.1%
The Impacts of Neighborhoods on Intergenerational Mobility I: Childhood Exposure Effects*
Raj Chetty, Nathaniel Hendren
1,142 citationsdoi:10.1093/qje/qjy007OpenAlex
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We show that the neighborhoods in which children grow up shape their earnings, college attendance rates, and fertility and marriage patterns by studying more than 7 million families who move across commuting zones and counties in the United States. Exploiting variation in the age of children when families move, we find that neighborhoods have significant childhood exposure effects: the outcomes of children whose families move to a better neighborhood—as measured by the outcomes of children already living there—improve linearly in proportion to the amount of time they spend growing up in that area, at a rate of approximately 4% per year of exposure. We distinguish the causal effects of neighborhoods from confounding factors by comparing the outcomes of siblings within families, studying moves triggered by displacement shocks, and exploiting sharp variation in predicted place effects across birth cohorts, genders, and quantiles to implement overidentification tests. The findings show that neighborhoods affect intergenerational mobility primarily through childhood exposure, helping…
- 3top 9.1%
The Impacts of Neighborhoods on Intergenerational Mobility II: County-Level Estimates*
Raj Chetty, Nathaniel Hendren
722 citationsdoi:10.1093/qje/qjy006OpenAlex
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We estimate the causal effect of each county in the United States on children’s incomes in adulthood. We first estimate a fixed effects model that is identified by analyzing families who move across counties with children of different ages. We then use these fixed effect estimates to (i) quantify how much places matter for intergenerational mobility, (ii) construct forecasts of the causal effect of growing up in each county that can be used to guide families seeking to move to opportunity, and (iii) characterize which types of areas produce better outcomes. For children growing up in low-income families, each year of childhood exposure to a one standard deviation (std. dev.) better county increases income in adulthood by 0.5%. There is substantial variation in counties’ causal effects even within metro areas. Counties with less concentrated poverty, less income inequality, better schools, a larger share of two-parent families, and lower crime rates tend to produce better outcomes for children in poor families. Boys’ outcomes vary more across areas than girls’ outcomes, and boys have…
- 4top 12.2%
Firming Up Inequality*
Jae Geun Song, David J Price, Fatih Guvenen, Nicholas Bloom, Till von Wachter
673 citationsdoi:10.1093/qje/qjy025OpenAlex
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Abstract We use a massive, matched employer-employee database for the United States to analyze the contribution of firms to the rise in earnings inequality from 1978 to 2013. We find that one-third of the rise in the variance of (log) earnings occurred within firms, whereas two-thirds of the rise occurred due to a rise in the dispersion of average earnings between firms. However, this rising between-firm variance is not accounted for by the firms themselves but by a widening gap between firms in the composition of their workers. This compositional change can be split into two roughly equal parts: high-wage workers became increasingly likely to work in high-wage firms (i.e., sorting increased), and high-wage workers became increasingly likely to work with each other (i.e., segregation rose). In contrast, we do not find a rise in the variance of firm-specific pay once we control for the worker composition in firms. Finally, we find that two-thirds of the rise in the within-firm variance of earnings occurred within mega (10,000+ employee) firms, which saw a particularly large increase…
- 5top 15.2%
Channeling Fisher: Randomization Tests and the Statistical Insignificance of Seemingly Significant Experimental Results*
Alwyn Young
646 citationsOpen accessdoi:10.1093/qje/qjy029OpenAlex
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I follow R. A. Fisher's,The Design of Experiments (1935), using randomization statistical inference to test the null hypothesis of no treatment effects in a comprehensive sample of 53 experimental papers drawn from the journals of the American Economic Association. In the average paper, randomization tests of the significance of individual treatment effects find 13% to 22% fewer significant results than are found using authors’ methods. In joint tests of multiple treatment effects appearing together in tables, randomization tests yield 33% to 49% fewer statistically significant results than conventional tests. Bootstrap and jackknife methods support and confirm the randomization results.
- 6top 18.2%
The Rate of Return on Everything, 1870-2015
Òscar Jordà, Katharina Knoll, D. Kuvshinov, Moritz HP. Schularick, Alan M. Taylor
582 citationsOpen accessdoi:10.1093/qje/qjz012OpenAlex
- 7top 21.3%
The Price Ain’t Right? Hospital Prices and Health Spending on the Privately Insured*
Zack Cooper, Stuart Craig, Martin Gaynor, John Michael Van Reenen
580 citationsOpen accessdoi:10.1093/qje/qjy020OpenAlex
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We use insurance claims data covering 28% of individuals with employer-sponsored health insurance in the United States to study the variation in health spending on the privately insured, examine the structure of insurer-hospital contracts, and analyze the variation in hospital prices across the nation. Health spending per privately insured beneficiary differs by a factor of three across geographic areas and has a very low correlation with Medicare spending. For the privately insured, half of the spending variation is driven by price variation across regions, and half is driven by quantity variation. Prices vary substantially across regions, across hospitals within regions, and even within hospitals. For example, even for a nearly homogeneous service such as lower-limb magnetic resonance imaging, about a fifth of the total case-level price variation occurs within a hospital in the cross section. Hospital market structure is strongly associated with price levels and contract structure. Prices at monopoly hospitals are 12% higher than those in markets with four or more rivals. Monopoly…
- 8top 24.3%
Who Becomes an Inventor in America? The Importance of Exposure to Innovation*
Alex G. Bell, Raj Chetty, Xavier Jaravel, Neviana Petkova, John Michael Van Reenen
499 citationsOpen accessdoi:10.1093/qje/qjy028OpenAlex
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We characterize the factors that determine who becomes an inventor in the United States, focusing on the role of inventive ability (“nature”) versus environment (“nurture”). Using deidentified data on 1.2 million inventors from patent records linked to tax records, we first show that children's chances of becoming inventors vary sharply with characteristics at birth, such as their race, gender, and parents' socioeconomic class. For example, children from high-income (top 1%) families are 10 times as likely to become inventors as those from below-median income families. These gaps persist even among children with similar math test scores in early childhood-which are highly predictive of innovation rates-suggesting that the gaps may be driven by differences in environment rather than abilities to innovate. We directly establish the importance of environment by showing that exposure to innovation during childhood has significant causal effects on children's propensities to invent. Children whose families move to a high-innovation area when they are young are more likely to become…
- 9top 27.3%
Busting the “Princelings”: The Campaign Against Corruption in China’s Primary Land Market*
Ting Chen, James Kai‐sing Kung
448 citationsOpen accessdoi:10.1093/qje/qjy027OpenAlex
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Using data on over a million land transactions during 2004–2016 where local governments are the sole seller, we find that firms linked to members of China's supreme political elites—the Politburo—obtained a price discount ranging from 55.4% to 59.9% compared with those without the same connections. These firms also purchased slightly more land. In return, the provincial party secretaries who provided the discount to these “princeling” firms are 23.4% more likely to be promoted to positions of national leadership. To curb corruption, President Xi Jinping stepped up investigations and strengthened personnel control at the province level. Using a spatially matched sample (e.g., within a 500-meter radius), we find a reduction in corruption of between 42.6% and 31.5% in the provinces either targeted by the central inspection teams or whose party secretary was replaced by one appointed by Xi. Accordingly, this crackdown on corruption has also significantly reduced the promotional prospects of those local officials who rely on supplying a discount to get ahead.
- 10top 30.4%
Do Energy Efficiency Investments Deliver? Evidence from the Weatherization Assistance Program*
Meredith Fowlie, Michael Greenstone, Catherine Wolfram
434 citationsdoi:10.1093/qje/qjy005OpenAlex
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A growing number of policies and programs aim to increase investment in energy efficiency, because conventional wisdom suggests that people fail to take up these investments even though they have positive private returns and generate environmental benefits. Many explanations for this energy efficiency gap have been put forward, but there has been surprisingly little field testing of whether the conventional wisdom is correct. This article reports on the results of an experimental evaluation of the nation’s largest residential energy efficiency program—the Weatherization Assistance Program—conducted on a sample of approximately 30,000 households in Michigan. The findings suggest that the upfront investment costs are about twice the actual energy savings. Furthermore, the model-projected savings are more than three times the actual savings. Although this might be attributed to the “rebound” effect—when demand for energy end uses increases as a result of greater efficiency—the article fails to find evidence of significantly higher indoor temperatures at weatherized homes. Even when…
How to read this list
The cohort is every article, review and book chapter OpenAlex attributes to The Quarterly Journal of Economics with publication year 2018, 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. 9 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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