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. Author manuscript; available in PMC: 2023 Jun 23.
Published in final edited form as: Rev Econ Stud. 2021 Jun 8;89(1):181–213. doi: 10.1093/restud/rdab030

Table 3:

Shock Balance Tests in the Autor et al. (2013) Setting

Panel A: Industry-Level Balance

Balance variable Coef. SE

Production workers’ share of employment, 1991 −0.011 (0.012)
Ratio of capital to value-added, 1991 −0.007 (0.019)
Log real wage (2007 USD), 1991 −0.005 (0.022)
Computer investment as share of total, 1990 0.750 (0.465)
High-tech equipment as share of total investment, 1990 0.532 (0.296)
# of industry-periods 794

Panel B: Regional Balance

Balance variable Coef. SE

Start-of-period % of college-educated population 0.915 (1.196)
Start-of-period % of foreign-born population 2.920 (0.952)
Start-of-period % of employment among women −0.159 (0.521)
Start-of-period % of employment in routine occupations −0.302 (0.272)
Start-of-period average offshorability index of occupations 0.087 (0.075)
Manufacturing employment growth, 1970s 0.543 (0.227)
Manufacturing employment growth, 1980s 0.055 (0.187)
# of region-periods 1,444

Notes: Panel A of this table reports coefficients from regressions of the industry-level covariates in Acemoglu et al. (2016) on the Autor et al. (2013) shocks, controlling for period indicators and weighting by average industry exposure shares. Standard errors are reported in parentheses and allow for clustering at the level of three-digit SIC codes. Panel B reports coefficients from regressions of commuting zone-level covariates and pre-trends from Autor et al. (2013) on the shift-share instrument, controlling for period indicators interacted with the lagged manufacturing share. Balance variables (the first five rows of this panel) vary across the two periods, while pre-trends (the last two rows) do not. SIC3-clustered exposure-robust standard errors are reported in parentheses and obtained from equivalent industry-level IV regressions as described in Section 6.2.3. Independent variables in both panels are normalized to have a variance of one in the sample.