This paper studies how minimum wage policy affects firms' adoption of automation'technologies. Using both state-level measures of robot exposure and novel plant-level'data on industrial robot imports linked to U.S. Census microdata from 1992'2021,'we show that increases in minimum wages raise the likelihood of robot adoption in'manufacturing. Our preferred identification exploits discontinuities at state borders,'comparing otherwise similar firms exposed to different wage floors. Across specifications, a 10 percent increase in the minimum wage increases robot adoption by roughly'8 percent relative to the mean.
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The Characteristics and Geographic Distribution of Robot Hubs in U.S. Manufacturing Establishments
March 2023
Working Paper Number:
CES-23-14
We use data from the Annual Survey of Manufactures to study the characteristics and geography of investments in robots across U.S. manufacturing establishments. We find that robotics adoption and robot intensity (the number of robots per employee) is much more strongly related to establishment size than age. We find that establishments that report having robotics have higher capital expenditures, including higher information technology (IT) capital expenditures. Also, establishments are more likely to have robotics if other establishments in the same Core-Based Statistical Area (CBSA) and industry also report having robotics. The distribution of robots is highly skewed across establishments' locations. Some locations, which we call Robot Hubs, have far more robots than one would expect even after accounting for industry and manufacturing employment. We characterize these Robot Hubs along several industry, demographic, and institutional dimensions. The presence of robot integrators and higher levels of union membership are positively correlated with being a Robot Hub.
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Import Competition from and Offshoring to Low-Income Countries: Implications for Employment and Wages at U.S. Domestic Manufacturers
January 2017
Working Paper Number:
CES-17-31
Using confidential linked firm-level trade transactions and census data between 1997 and 2012, we provide new evidence on how American firms without foreign affiliates adjust employment and wages as they adapt to import competition from low-income countries. We provide stylized facts on the input sourcing strategies of these domestic firms, contrasting them with multinationals operating in the same industry. We then investigate how changes in firm input purchases from low-income countries as well as domestic market import penetration from these sources are correlated with changes in employment and wages at surviving domestic firms. Greater offshoring by domestic firms from low-income countries correlates with larger declines in manufacturing employment and in the average production workers' wage. Given the negative association, however, the estimated magnitudes are small, even for a narrow measure of offshoring that includes only intermediate goods. Import penetration of U.S. markets from these sources is associated with relatively larger changes in employment for arm's length importing firms, but has no significant correlation with employment changes at firms that do not trade. Given differences in the degree of both offshoring and import penetration, we find substantial variation across industries in the magnitude of changes associated with low-income country imports.
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Automation and the Workforce: A Firm-Level View from the 2019 Annual Business Survey
April 2022
Authors:
John Haltiwanger,
Lucia Foster,
Emin Dinlersoz,
Nikolas Zolas,
Daron Acemoglu,
Catherine Buffington,
Nathan Goldschlag,
Zachary Kroff,
David Beede,
Gary Anderson,
Eric Childress,
Pascual Restrepo
Working Paper Number:
CES-22-12R
This paper describes the adoption of automation technologies by US firms across all economic sectors by leveraging a new module introduced in the 2019 Annual Business Survey, conducted by the US Census Bureau in partnership with the National Center for Science and Engineering Statistics (NCSES). The module collects data from over 300,000 firms on the use of five advanced technologies: AI, robotics, dedicated equipment, specialized software, and cloud computing. The adoption of these technologies remains low (especially for AI and robotics), varies substantially across industries, and concentrates on large and young firms. However, because larger firms are much more likely to adopt them, 12-64% of US workers and 22-72% of manufacturing workers are exposed to these technologies. Firms report a variety of motivations for adoption, including automating tasks previously performed by labor. Consistent with the use of these technologies for automation, adopters have higher labor productivity and lower labor shares. In particular, the use of these technologies is associated with a 11.4% higher labor productivity, which accounts for 20'30% of the difference in labor productivity between large firms and the median firm in an industry. Adopters report that these technologies raised skill requirements and led to greater demand for skilled labor, but brought limited or ambiguous effects to their employment levels.
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Low-Wage Jobs, Foreign-Born Workers, and Firm Performance
January 2024
Working Paper Number:
CES-24-05
We examine how migrant workers impact firm performance using administrative data from the United States. Exploiting an unexpected change in firms' likelihood of securing low-wage workers through the H-2B visa program, we find limited crowd-out of other forms of employment and no impact on average pay at the firm. Yet, access to H-2B workers raises firms' annual revenues and survival likelihood. Our results are consistent with the notion that guest worker programs can help address labor shortages without inflicting large losses on incumbent workers.
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EXPORTERS, SKILL UPGRADING AND THE WAGE GAP*
November 1994
Working Paper Number:
CES-94-13
This paper examines plant level evidence on the increase in demand for non-production workers in U.S. manufacturing during the 1980's. The major finding is that increases in employment at exporting plants contribute heavily to the observed increase in relative demand for skilled labor in manufacturing during the period. Exporters account for almost all of the increase in the wage gap between high and low-skilled workers. Tests of the competing theories with plant level data show that demand changes associated with increased exports are strongly associated with the wage gap increases. Increases in plant technology are determinants of within plant skill-upgrading but not of the aggregate wage gap rise.
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TRADE LIBERALIZATION AND LABOR SHARES IN CHINA
May 2014
Working Paper Number:
CES-14-24
We estimate the extent to which firms responded to tariff reductions associated with China's WTO entry by altering labor's share of value. Firm-level regressions indicate that firms in industries subject to tariff cuts raised labor's share relative to economy-wide trends, both through input choices and rent sharing. Labor's share of value is an estimated 12 percent higher in 2007 than it would be if tariffs had remained at their 1998 levels. There is significant variation across firms: the impact is larger where market access is better and it is influenced by union presence and state ownership.
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The Impact of Immigration on Firms and Workers: Insights from the H-1B Lottery
April 2024
Working Paper Number:
CES-24-19
We study how random variation in the availability of highly educated, foreign-born workers impacts firm performance and recruitment behavior. We combine two rich data sources: 1) administrative employer-employee matched data from the US Census Bureau; and 2) firm level information on the first large-scale H-1B visa lottery in 2007. Using an event-study approach, we find that lottery wins lead to increases in firm hiring of college-educated, immigrant labor along with increases in scale and survival. These effects are stronger for small, skill-intensive, and high-productivity firms that participate in the lottery. We do not find evidence for displacement of native-born, college-educated workers at the firm level, on net. However, this result masks dynamics among more specific subgroups of incumbents that we further elucidate.
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Antitrust Enforcement Increases Economic Activity
October 2023
Working Paper Number:
CES-23-50
We hand-collect and standardize information describing all 3,055 antitrust law suits brought by the Department of Justice (DOJ) between 1971 and 2018. Using restricted establishment-level microdata from the U.S. Census, we compare the economic outcomes of a non-tradable industry in states targeted by DOJ antitrust lawsuits to outcomes of the same industry in other states that were not targeted. We document that DOJ antitrust enforcement actions permanently increase employment by 5.4% and business formation by 4.1%. Using an event-study design, we find (1) a sharp increase in payroll that exceeds the increase in employment, meaning that DOJ antitrust enforcement increases average wages, (2) an economically smaller increase in sales that is statistically insignificant, and (3) a precise increase in the labor share. While we cannot separately measure the quantity and price of output, the increase in production inputs (employment), together with a proportionally smaller increase in sales, strongly suggests that these DOJ antitrust enforcement actions increase the quantity of output and simultaneously decrease the price of output. Our results show that government antitrust enforcement leads to persistently higher levels of economic activity in targeted industries.
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Supply Chain Adjustments to Tariff Shocks: Evidence from Firm Trade Linkages in the 2018-2019 U.S. Trade War
August 2024
Working Paper Number:
CES-24-43
We use the 2018-2019 U.S. trade war to examine how supply chains adjustments to a tariff cost shock affect imports and exports. Using confidential firm-trade linked data, we show that the decline in imports of tariffed goods was driven by discontinuations of U.S. buyer'foreign supplier relationships, reduced formation of new relationships, and exits by U.S. firms from import markets altogether. However, tariffed products where imports were concentrated in fewer suppliers had a smaller decline in import growth. We then construct measures of export exposure to import tariffs by linking tariffs paid by importing firms to their exported products. We find that the most exposed products had lower exports in 2018-2019, with most of the impact occurring in 2019.
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IMPORTING, EXPORTING AND FIRM-LEVEL EMPLOYMENT VOLATILITY
June 2013
Working Paper Number:
CES-13-31
In this paper, we use detailed trade and transactions data for the U.S. manufacturing sector to empirically analyze the direction and magnitude of the association between firm-level exposure to trade and the volatility of employment growth. We find that, relative to purely domestic firms, firms that only export and firms that both export and import are less volatile, whereas firms that only import are more volatile. The positive relationship between importing and volatility is driven mainly by firms that switch in and out of importing. We also document a significant degree of heterogeneity across trading firms in terms of the duration of time and intensity with which firms trade, the number and type of products they trade and the number and characteristics of their trading partners. We find these factors to play an important role in explaining the differential impact of trading on employment volatility experienced by these firms.
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