H56 | Macro Paper Warehouse

The Effects of Gender Integration on Men

Mon, 01 Jan 0001 00:00:00 +0000

Greenberg, Wasserman, and Weber (2024/2026) ask whether men negatively respond—in terms of job performance, behavior, and workplace perceptions—when women first enter an exclusively male occupation. They exploit the staggered 2017-onward integration of women into U.S. Army infantry and armor combat companies following the 2016 rescission of the Ground Combat Exclusion Policy. The setting offers unusually clean causal identification: integration timing within Brigade Combat Teams was neither systematic nor data-driven, the Army’s rigid pay scales meant integration posed no displacement or wage threat to incumbent men, and roughly 391 companies are observed over 2012–2020. The empirical strategy is a staggered difference-in-differences design with company fixed effects, BCT-by-year-of-arrival fixed effects, and month-of-year fixed effects, applied to an individual-level sample of newly arrived male soldiers. Outcomes come from monthly administrative personnel records (retention, misconduct separations, demotions, criminal investigations, drug tests, medical profiles, physical fitness scores) and the Defense Organizational Climate Survey (DEOCS), a congressionally mandated annual survey with response rates above 50% covering organizational effectiveness, equal opportunity, and sexual assault prevention and response. The main finding is that integrating women into previously all-male combat companies does not negatively affect men’s performance or behavioral outcomes. Estimates are precise enough to rule out small detrimental effects: two years post-integration, the authors can rule out a 3% increase in attrition, a 5% increase in demotions, and a 4% increase in criminal investigations relative to their respective means. One behavioral outcome shows a statistically significant improvement: integration reduces separations for misconduct by 1.3 percentage points (16% of the mean). Drug test positivity also declines. The sole potential negative administrative finding is a 1.8-point decline in physical fitness scores (0.7% of the mean, roughly 5% of a standard deviation), but this does not affect pass rates and becomes statistically insignificant when scores are imputed using observable covariates. An aggregate Performance and Behavior Index rules out reductions of 0.8% of a standard deviation; the No Adverse Outcomes measure rules out a 1.2 percentage point increase (3% of the mean). Despite these null-to-positive performance effects, survey data reveal that integration causes a 5% of a standard deviation decline in men’s overall perceptions of workplace quality. This perception decline is concentrated in companies that received a female officer shortly after integration. Among companies integrated only with female enlisted soldiers (no female officer), men’s workplace attitudes actually improve by 14.7% of a standard deviation. Two mechanisms are examined: increased male awareness of pre-existing workplace problems (supported by higher reported observations of bullying, hazing, and unwanted comments, especially among male officers in female-officer-integrated companies), and negative reactions to women in positions of authority (supported by broader declines in organizational effectiveness perceptions not confined to equal-opportunity items). Crucially, the perception decline does not translate into retaliatory behavior or performance deterioration; companies integrated with a female officer show some performance gains, and female enlisted soldiers in those companies report fewer workplace problems. Scope conditions: findings apply to a high-stakes, traditionally male-dominated, hierarchical occupational setting during 2017–2020, a period when U.S. deployment missions were primarily advise-and-assist rather than direct combat. Integration increased female representation by approximately 4.7 percentage points on average.

Q: What was the policy change studied and why does it offer causal leverage? A: In December 2015, Secretary of Defense Ashton Carter announced that all U.S. military occupations, including infantry and armor combat roles, would open to women starting in 2016. Women did not begin arriving at operational companies until 2017 due to training timelines. Within BCTs, the selection of which companies to integrate was neither systematic nor data-driven, and baseline characteristics of integrated and non-integrated companies are similar after conditioning on BCT and company-type fixed effects, supporting a parallel trends assumption.

Q: What are the main administrative performance findings? A: Integration has a positive but statistically insignificant effect on retention, and reduces misconduct separations by 1.3 percentage points (significant at the 5% level), representing a 16% reduction relative to the mean. Demotions, criminal investigations (including sex-related and domestic violence), and medical profiles show no significant negative effects, with precision sufficient to rule out 5% increases in demotions and 4% increases in criminal investigations. Physical fitness scores decline by 1.8 points (0.7% of mean, approximately 5% of a standard deviation), but pass rates are unaffected and the estimate becomes insignificant when scores are imputed with observable covariates.

Q: What does the aggregate performance index show? A: The Performance and Behavior Index—an equally weighted z-score average of retention, misconduct separations, demotions, criminal investigations, medical profiles, promotions to Sergeant, and physical fitness outcomes—shows a positive but insignificant effect of integration, ruling out reductions of 0.8% of a standard deviation. The No Adverse Outcomes measure rules out a 1.2 percentage point increase (3% of the mean incidence of adverse outcomes).

Q: How do men’s workplace perceptions change after integration? A: The overall workplace quality index constructed from all DEOCS Likert-scale items declines by 5% of a standard deviation following integration, spanning perceptions of organizational effectiveness, workplace inclusivity, and sexual assault prevention and response. This average effect masks critical heterogeneity by the rank composition of integrating women.

Q: What is the key heterogeneity in survey responses? A: The decline in men’s perceptions is entirely driven by companies that received a female officer shortly after integration. In companies integrated only with female enlisted soldiers (17% of integrating companies did not receive a female officer within a month), men’s perceptions improve by 14.7% of a standard deviation. Male officers show a larger negative shift than male enlisted soldiers in officer-integrated companies, and this difference is statistically significant.

Q: What mechanisms explain the negative perception response to female officers? A: Two mechanisms are investigated. First, increased awareness: male soldiers—especially male officers—report observing more bullying, hazing, and unwanted comments after a female officer is integrated but not after integration with only female enlisted, and the decline in perceptions of sexual assault prevention and response is significantly larger among male officers than enlisted men, consistent with shared leadership roles amplifying awareness of workplace problems. Second, negative reactions to female authority: declines in perceptions are more pronounced on organizational effectiveness questions than on equal-opportunity items and extend to issues unrelated to women, suggesting broader dissatisfaction with female leadership alongside heightened awareness.

Q: Is the decline in perceptions related to actual differences in female officer qualifications or preferential treatment? A: No. Female and male officers have similar baseline characteristics including educational background and experience. Companies integrated with female officers perform at least as well as non-integrated companies or those integrated only with enlisted women on administrative metrics. There is no evidence that male officers waited longer for leadership assignments relative to female colleagues, ruling out perceived preferential treatment as a driver.

Q: Do men’s negative perceptions of female officers translate into retaliatory behavior toward women? A: No. Administrative misconduct metrics show some improvements in male behavior when a female officer is present. Female enlisted soldiers in female-officer-integrated companies report fewer workplace problems on the climate survey than female enlisted soldiers in companies integrated without a female officer, indicating that the presence of a female officer generates benefits for female enlisted soldiers rather than backlash against them.

Q: Does heterogeneity by integration intensity or women’s rank affect administrative outcomes for men? A: Integration intensity (number of women initially integrated) and rank composition (female officers vs. only female enlisted) do not produce negative administrative outcomes in any subgroup. The aggregate Performance and Behavior Index shows a positive effect when a female officer is included. Effects also do not vary with male soldiers’ rank (enlisted vs. officer) or their tenure in the company.

Q: What happens in units that deploy to combat zones? A: Approximately one in five integrated companies deployed to a combat zone within two years of integration. Integration does not negatively affect retention, behavior, or performance of men in deploying units. Declines in workplace perceptions are larger for deploying units and are most pronounced when integration occurs shortly after return from deployment, consistent with deployment strengthening in-group identity among male soldiers rather than women performing poorly during combat-zone service.

Q: What do the findings imply for theories of identity economics and the pollution theory of discrimination? A: The null-to-positive behavioral and performance responses to women’s entry contradict the predictions of Akerlof and Kranton’s (2000) identity economics model and Goldin’s (2014) pollution theory of discrimination, which predict retaliatory or otherwise unproductive behaviors when women enter a male-dominated occupation. The paper shows that, to the extent identity concerns shape male responses, these are confined to subjective perceptions and do not manifest in diminished performance, retention, or conduct.

Q: What are the policy implications for employers considering gender integration? A: The paper provides evidence against the argument that men will become less productive when women enter previously male-only occupations, a justification sometimes offered for excluding women from such jobs. The finding that performance and behavior are unaffected—and misconduct actually declines—allows policymakers and employers to weigh these results against concerns about operational or productivity costs of integration. The perception gap between men’s attitudes and actual outcomes points to a need for targeted leadership and organizational interventions, particularly around the introduction of female leaders.

Ground Combat Exclusion Policy (GCEP): The U.S. military policy, rescinded in 2013 and fully eliminated by Secretary of Defense Carter in 2016, that precluded women from serving in infantry and armor positions; the policy whose removal is the source of the integration shock studied. | Staggered difference-in-differences: The empirical strategy exploiting the sequential, non-systematic integration of women into combat companies across years 2017–2023, using never-yet-treated companies as a comparison group with company fixed effects and BCT-by-year-of-arrival fixed effects. | Performance and Behavior Index: An equally weighted average of z-scored administrative outcomes (retention, no misconduct separations, no demotions, no criminal investigations, no medical profiles, promotion to Sergeant, physical fitness pass/fail and score), constructed for enlisted soldiers, oriented so higher values indicate better outcomes. | Leaders First policy: An Army requirement that a female officer be assigned to a combat company before or alongside female junior enlisted soldiers to ensure female leadership presence at integration; adherence was not universal, with 17% of integrating companies not following it within one month. | Defense Organizational Climate Survey (DEOCS): A congressionally mandated, annually administered, anonymous survey of military unit members covering organizational effectiveness, equal opportunity, and sexual assault prevention and response; the source of workplace perception outcomes. | Pollution theory of discrimination: Goldin’s (2014) theory that men may seek to exclude women from occupations because women’s presence is perceived to diminish the occupation’s prestige or status, potentially leading to retaliatory or unproductive behaviors among incumbent male workers. | Perception-performance wedge: The paper’s central finding that men’s subjective workplace quality perceptions decline with integration—especially when a female officer is present—even as objective administrative performance and behavior metrics show null to positive effects, a divergence between attitudes and measurable outcomes.

The Long-Run Impacts of Public Industrial Investment on Local Development and Economic Mobility: Evidence from World War II

Mon, 01 Jan 0001 00:00:00 +0000

Overview

Research Question. Does government-led construction of large manufacturing plants in previously under-industrialized regions generate long-run improvements in regional economic development and in the lifetime earnings of the incumbent residents who were already living there at the outset? And, if so, through what mechanism — developmental improvements during childhood or expanded adult labor market opportunities?

Setting and Identification. The paper exploits the United States industrial mobilization for World War II, specifically the construction of 90 large, government-financed, newly-built manufacturing plants (each costing $10 million or more in contemporary dollars, approximately $150 million in 2020 dollars) in dispersed locations outside the major prewar manufacturing hubs. Strategic and security considerations — not economic optimization — drove the military to insist these plants be sited away from congested industrial centers. Because private firms were unwilling to finance construction in isolated locations with uncertain postwar value, the government built them directly as government-owned, contractor-operated (GOCO) facilities through the Defense Plant Corporation. Site selection within the set of sufficiently populated regions was governed by idiosyncratic, short-run factors — the immediate availability of suitable parcels, informal connections to procurement officers, and expedience — rather than systematic economic characteristics of the receiving counties. The paper documents no systematic association between publicly-funded wartime plant construction and prewar county-level economic or demographic characteristics conditional on population size, and finds parallel prewar trends and balanced outcome levels across treatment and comparison counties in all decades leading up to WWII. A placebo test using 1910-to-1940 intergenerational mobility in matched Census records confirms no differential prewar upward mobility in treatment counties.

The comparison group consists of 1,400 counties outside the 100 largest prewar manufacturing counties that did not receive large public plants. Treatment assignment for individuals is based on birth county, not adult county of residence, enabling the paper to track outcomes regardless of where individuals ultimately live.

Data. The analysis draws on the 1945 War Production Board data book for plant-level investment; county-level panels from Decennial and Economic Censuses spanning 1900–2000; the SSA NUMIDENT file (birth county and date); IRS Form 1040 individual income tax returns in 1969, 1974, 1979, and 1984 (covering wage earnings and adjusted gross income); the full-count 1940 Census (parent earnings, demographics); the 2000 Census long form (educational attainment); and W-2 earnings histories from the SSA Detailed Earnings Record matched to a CPS-linked subsample, with employer information linked to the Business Register.

Regional Effects. By 1970, counties receiving large public wartime plants had approximately 30 percent higher manufacturing employment, 20 percent larger populations, and 7–8 percent higher median family income than comparison counties. Manufacturing employment as a share of total employment rose and remained elevated through the 1970s before converging toward parity with the comparison group by 1990. Treated counties were permanently larger — with population stabilizing at a new, persistently higher equilibrium roughly 20 percent above comparison counties by end of century — even after the manufacturing employment share converged, consistent with path dependence and multiple equilibria. Average production worker pay in manufacturing rose by approximately 10 percent, closely tracking value-added per worker, while average retail wages rose by only one-third as much and were not statistically significant in most years. In the 40 years after the war, treated counties saw median family earnings increase by 5–10 percent, concentrated in higher average wages and employment shares in manufacturing and semi-skilled blue-collar occupations, with limited effects on non-manufacturing, white-collar occupations, or female individual income.

Individual Earnings Effects. Men born in treatment counties in the 18 years before the war (birth cohorts 1922–1940) earned approximately $1,200–$1,300 more per year (2020 dollars) in average wage earnings reported on 1040 returns in 1969, 1974, 1979, and 1984 — an increase of 2.5–3 percent and roughly a one-percentile rise in the national earnings distribution. Effects were largest for children of parents at the bottom of the 1939 earnings distribution: children of the lowest-income parents saw adult wage earnings rise by approximately $1,800–$2,000 per year (3–4 percent), with effects declining linearly by parent rank and effectively vanishing for children of the highest-earning parents. Black men experienced larger average earnings effects (4–6 percent, or $1,500–$2,500 in 2020 dollars) than White men (2–3 percent, or $1,000–$1,500), with the racial earnings gap estimated to have narrowed by about 2 percent in the treatment group. When examining Form 1040 returns (tax-unit level), effects are comparable for men and women, but W-2 individual earnings data from the SSA-CPS subsample show no positive effect on women’s own earnings — the 1040 effects for women are entirely driven by their husbands’ higher earnings.

Mechanism. The balance of evidence points to access to higher-wage jobs in adulthood as the primary channel, rather than developmental human capital improvements accumulated during childhood. War plants modestly increased male educational attainment — children from the lowest-earning families completed approximately one-quarter of a year more schooling and were 3 percentage points more likely to graduate high school — but education effects are too small to account for the full earnings increase. Critically, there is no gradient in earnings effects by birth cohort: children who were younger at the start of the war and therefore had longer childhood exposure to improved regions did not benefit more, contradicting a childhood exposure-effect mechanism as in Chetty and Hendren (2018b). Adult earnings effects are entirely accounted for by adult location: conditioning on 1979 county of residence eliminates the treatment effect. Stayers in treatment counties show large earnings differences relative to stayers in comparison counties, while movers show none. Men born in treatment counties are also directly documented to have worked in industries with higher wage premiums as adults, with coarse industry classification alone accounting for approximately one-third of the estimated log wage increase.

Policy Scope Conditions. The paper argues these effects are specific to the WWII postwar institutional context — high global demand for U.S. manufactured goods, limited international competition, labor-intensive production techniques, and strong union bargaining power — conditions that no longer hold. Reexamination of “million-dollar plant” openings in the 1980s and 1990s shows manufacturing employment expanded but average manufacturing wages did not increase, suggesting contemporary plant openings do not generate the same high-wage opportunities. The association between manufacturing employment density and upward mobility visible in 1950 has entirely vanished by the end of the twentieth century.

In depth

Q1. What exactly defines the treatment group, and why were these plants built by the government rather than private firms?

A: The treatment group consists of 90 counties outside the 100 largest prewar manufacturing regions that received at least one new, fully publicly-financed manufacturing plant costing $10 million or more (approximately $150 million in 2020 dollars) under the WWII industrial mobilization. Private firms refused to finance construction in dispersed, isolated locations with highly uncertain postwar value; the Air Force historians recorded that “industrialists’ reluctance to invest in dispersed plant facilities was at odds with the government’s hope that private capital could finance new inland construction.” The government built and owned these facilities as GOCO plants, operated by private firms under contract. The 353 plants meeting the cost threshold (including both large and smaller public plants) account for 70 percent of all spending on new plants during the war.

Q2. How do the authors establish that plant siting was quasi-random conditional on population size?

A: Identification rests on three forms of evidence. First, historical documents show procurement decisions were driven by idiosyncratic factors — availability of a suitable parcel, informal connections to procurement officers, short-run expedience — rather than systematic economic characteristics. Members of Congress had little ability to influence siting, and Rhode et al. (2018) find little evidence that federal politics drove the geographic distribution of wartime spending. Second, balance tests (estimating prewar county characteristics as outcomes in Equation 1) show no significant differences between treatment and comparison counties in earnings levels, demographics, manufacturing development, or industrial composition after conditioning on 1940 population, with a joint p-value of 0.30 (0.36 when also conditioning on geography and infrastructure). Third, a placebo test using children in the 1910 Census matched to the 1940 Census finds no differential economic outcomes or upward mobility rates in counties that would eventually receive treatment plants, conditional on basic region size.

Q3. What are the county-level effects on the structure of the labor market in the medium run?

A: By the 1960s–1970s, treated counties had higher predicted union coverage rates and a greater share of men in semi-skilled production occupations, driven primarily by movement away from farm work and supplemented by higher male labor force participation. Average wages in craftsperson and operator occupations rose by 8 percent in treated counties — more than double the increase in wages for high-skill professional and managerial occupations. Treated counties had 8 percent higher median male individual incomes by 1979. Effects on female median individual income were minimal, and there were no effects on female labor force participation rates.

Q4. What is the estimated magnitude of the individual earnings effects, and how do they vary by parent income?

A: Men born in treatment counties averaged $1,200–$1,300 more per year in real wage earnings (2020 dollars) on 1040 tax returns across the four observation years 1969, 1974, 1979, and 1984, a 2.5–3 percent increase equivalent to roughly one percentile in the national earnings distribution. Heterogeneity by parent rank is pronounced and monotone: children of parents at the very bottom of the 1939 earnings distribution gained approximately $2,000 per year (about 4 percent), while children of the highest-earning parents experienced no significant effect. When county weighting is equalized to eliminate the differential representation of rural (lower-income) counties, effects are roughly constant across the bottom six deciles of the parent earnings distribution and then drop steeply at the top, showing that the earnings gradient was not simply an artifact of plant openings in poorer, smaller counties.

Q5. How did effects differ by race?

A: Wartime plant construction increased annual adult earnings of Black men by 4–6 percent ($1,500–$2,500 in 2020 dollars) and of White men by 2–3 percent ($1,000–$1,500 in 2020 dollars). The racial earnings gap in the treatment group is estimated to have narrowed by about 2 percent. However, the pattern of heterogeneity by parent income differs by race: for White men, effects are largest for children of below-median parents and effectively zero for children of above-median parents. For Black men, the largest effects — 7–10 percent ($4,000–$5,000 in 2020 dollars) — accrue to children of parents with earnings above the pooled-race national median, while effects for lower-income Black families range from 3–6.5 percent, suggesting that Black workers from higher-income backgrounds particularly benefited from wartime anti-discrimination policies and the opening of previously restricted manufacturing occupations.

Q6. Why do the 1040 returns show comparable effects for men and women, while W-2 data show no effect on women’s individual earnings?

A: Form 1040 returns are filed at the tax-unit level — for married couples, they report the combined wages of both spouses. Because more than 80 percent of women in the sample are married, an increase in a husband’s earnings raises the joint 1040 figure for both spouses. The SSA-CPS subsample with individual W-2 records shows that the entire effect on men’s Form 1040 wages directly reflects increases in their own W-2 earnings, while women’s own W-2 earnings show no positive treatment effect. This finding is consistent with county-level evidence of no impact on female individual income or female labor force participation, and with Rose (2018) finding that women were almost universally excluded from manufacturing jobs after the war’s conclusion despite high wartime female manufacturing employment.

Q7. What evidence tests the developmental-effects mechanism?

A: Three tests argue against childhood developmental effects as the primary driver. First, educational attainment effects — while statistically significant for children of the lowest-income parents (approximately one-quarter of a year more schooling, 3 percentage points more likely to graduate high school) — are too small to account for the earnings increase: a Mincer-equation calculation shows that the education effects can explain less than one-half of the estimated effect on 1979 wages. Second, there is no gradient in earnings effects by birth cohort — children younger at the war’s start, who had longer post-treatment childhood exposure, did not benefit more, in direct contrast to the Chetty-Hendren childhood-exposure framework. Third, postwar in-migrants into treatment counties were not drawn from better-educated or higher-income families and did not themselves have more education than in-migrants into comparison regions, ruling out peer effects from selective in-migration.

Q8. What evidence directly implicates adult labor market access as the operative mechanism?

A: Four pieces of evidence point to contemporaneous adult labor market access. First, individuals born in treatment counties lived as adults in counties with 3–4 percent higher median male earnings and higher wages in semi-skilled blue-collar occupations but not in highly-skilled professional occupations — a pattern quantitatively consistent with the individual earnings effects. Second, the entire earnings effect is concentrated among those who remain in their birth counties: stayers in treatment counties show earnings differences of similar magnitude to county-level manufacturing wage effects, while movers show no difference compared to movers from comparison counties. Third, conditioning on 1979 county of residence eliminates the earnings effect entirely (1979 location fixed effects specification). Fourth, using W-2 data matched to the Business Register in the SSA-CPS sample, men born in treatment counties are directly shown to work in industries with higher wage premiums, with coarse industry classification alone accounting for approximately one-third of the log wage increase.

Q9. Is the persistence of regional effects driven by continued Cold War military spending at the plants?

A: No. The paper separates ordnance and ammunition plants — which predominantly became GOCO facilities or Air Force Bases after WWII and received disproportionately more Vietnam War-era defense spending — from general manufacturing plants, which overwhelmingly transitioned to privatized civilian production. Both types of plants show similarly persistent effects on manufacturing employment and comparable impacts on the long-run earnings of local children. Moreover, general manufacturing plants — which did not generate increased postwar military spending — had large permanent effects on overall population growth, while ordnance plants had smaller population effects. The persistence therefore does not appear to reflect continued federal expenditure.

Q10. What mechanism explains the permanent population effect even after manufacturing employment shares converge?

A: The authors interpret the permanent population differential — treated counties remain roughly 20 percent larger than comparison counties even at the end of the 20th century, after manufacturing employment shares converge — as evidence of path dependence and multiple equilibria. Once a region reaches a new, larger equilibrium, self-sustaining forces (expanded non-tradable employment, public infrastructure investment) maintain it. Treatment counties are more likely to have been connected to the interstate highway system in subsequent decades and show positive effects on local government capital outlays for utilities. The medium-term persistence is attributed partly to the sunk costs of site establishment (surveying, local approvals, infrastructure connections), which make reinvestment at existing sites more attractive than greenfield construction elsewhere.

Q11. Do smaller plant openings generate comparable effects?

A: No. Counties receiving smaller publicly-financed plants costing between $1 and $10 million show no detectable effects on manufacturing employment, population, median family income, or individual adult earnings comparable to those from the large plants. The authors cannot rule out the presence of small effects, but the null results for smaller plants — combined with evidence that the largest effects are in counties with the highest investment intensity per 1940 resident — are consistent with threshold effects (“big push”) in regional development, though the wide confidence intervals do not allow the authors to conclusively distinguish threshold effects from a linear-in-investment model.

Q12. What do modern “million-dollar plant” openings reveal about the contemporary relevance of these findings?

A: Reexamining plant openings from Greenstone et al. (2010) using an event-study design, the authors find that 1980s–1990s million-dollar plant openings expanded manufacturing employment (consistent with Greenstone et al.) but had no impact on average manufacturing wages — in sharp contrast to the WWII findings. Slattery and Zidar (2020) similarly find no impacts on county-level incomes for plant openings since 2000. The correlation between manufacturing employment density and upward mobility rates visible in 1950 had entirely vanished by the end of the 20th century. The authors attribute the divergent results to the changed institutional environment: contemporary production is highly automated, relies on interchangeable labor from staffing agencies, faces intense international competition, and is conducted under much weaker collective bargaining institutions.

Q13. What is the paper’s assessment of aggregate welfare implications?

A: The paper is explicit that its local estimates do not allow clean conclusions about aggregate effects. Publicly-financed plant construction in peripheral locations may have crowded out private investment that would otherwise have occurred in major manufacturing hubs. If so, the documented regional gains represent geographic reallocation of manufacturing activity rather than a net increase in the aggregate plant stock. Aggregate gains from reallocation would require that the benefits in the selected dispersed locations exceeded what would have occurred in the counterfactual locations — a plausible conjecture given the paper’s evidence that effects are larger in counties with lower prewar manufacturing employment shares and lower initial market access, but one the authors cannot demonstrate decisively.

Key Concepts

Government-Owned, Contractor-Operated (GOCO) Plants: Manufacturing facilities built and owned by a U.S. government agency (typically the Defense Plant Corporation) during WWII but built and operated by private firms under cost-plus contracts. GOCO status meant the government bore full construction risk and that post-war disposition (sale to private buyers at a fraction of construction cost, or continued GOCO operation for ordnance production) was determined by public agencies, not by the constructing firm’s investment calculus.

Place-Based Predistribution: The paper’s term for the mechanism by which wartime plant construction raised the incomes of existing residents — not through ex-post redistribution of income via taxes and transfers, but by expanding the set of high-wage employment opportunities available to incumbent workers in the region, thereby changing the pre-tax, pre-transfer wage structure facing those workers.

Adult Labor Market Access (vs. Childhood Developmental Exposure): A distinction the paper draws in explaining why children born in treated counties had higher adult earnings. The “developmental exposure” mechanism (as in Chetty and Hendren 2018b) implies benefits scale with the amount of time spent in an improved childhood environment. The “adult labor market access” mechanism means children benefit irrespective of years of childhood exposure because they can access improved local labor market conditions when they reach working age as adults — what the paper operationalizes through the finding that earnings effects are entirely accounted for by 1979 county of residence and are concentrated among individuals who remain in their birth counties.

Upward Mobility (Absolute and Relative): Following Chetty et al. (2014), the paper uses both concepts: absolute upward mobility means children from low-income backgrounds have higher lifetime earnings than comparable children in counterfactual regions; relative upward mobility means their outcomes converge toward those of children from affluent backgrounds. The paper documents both: large earnings effects for the lowest parent-income deciles, declining linearly to zero for the top deciles.

Conditional Independence (Plant Siting as Quasi-Random): The paper’s identification assumption — that among counties with observably similar population sizes and basic geographic/infrastructure characteristics, the specific choice of plant siting locations was driven by idiosyncratic, short-run factors uncorrelated with potential postwar outcomes. This is a level-balance assumption (not merely a parallel-trends assumption), required because individual outcomes are only observed in the post-period.

Industry Wage Premium: The paper uses Krueger and Summers (1988) estimates of inter-industry wage differentials (the portion of a sector’s average wage unexplained by worker characteristics) to classify adult employers of treated individuals. Finding that men born in treatment counties work at employers in higher-premium industries — with industry category alone explaining approximately one-third of the log wage increase — provides direct evidence of the adult labor market access mechanism operating through industry sorting.

Path Dependence / Multiple Equilibria in Regional Development: The paper documents that treated counties remain permanently larger in population than comparison counties even after manufacturing employment shares converge and the original plants begin to close. This self-sustaining population differential, inconsistent with a unique spatial equilibrium, is interpreted as evidence that the temporary wartime shock shifted treated regions into a permanently higher equilibrium, sustained by subsequent infrastructure investment and non-tradable sector expansion proportional to the larger population base.