Change in county warehousing earnings before and after opening an Amazon fulfillment center: Percent earnings changes in the two years before and the two years after an opening

Common time fixed effects Division-specific fixed effects State-specific time fixed effects
(1) (2) (3) (4) (5) (6) (7) (8) (9)
2001–2015
Cumulative percent change two years before the opening -3.1%*** -3.2%*** -0.5% -3.3%** -3.4%** -0.0% -4.0%*** -4.2%*** -0.3%
(1.1%) (1.1%) (1.2%) (1.4%) (1.4%) (1.4%) (1.2%) (1.2%) (1.6%)
Cumulative percent change two years after the opening -1.0% -1.1% -1.4% 2.5% 2.5% -0.9% 5.8%*** 5.5%** -1.7%
(1.1%) (1.0%) (1.4%) (1.7%) (1.7%) (1.5%) (2.1%) (2.1%) (1.9%)
2008–2015
Cumulative percent change two years before the opening -2.4%* -2.5%* -1.3% -2.9%** -2.8%** -0.9% -3.1%** -3.0%** -0.8%
(1.3%) (1.3%) (1.5%) (1.3%) (1.3%) (1.6%) (1.3%) (1.4%) (2.0%)
Cumulative percent change two years after the opening -1.8%* -2.0%** -1.4% 0.7% 0.7% 0.4% 3.0% 2.7% 0.5%
(1.0%) (1.0%) (1.5%) (1.5%) (1.5%) (1.8%) (2.3%) (2.3%) (1.5%)
Controls
County fixed effects Y Y Y Y Y Y Y Y Y
Predicted employment Y Y Y
County-specific linear time trends Y Y Y

Notes: Each column shows cumulative earnings effects in the pre-opening or post-opening time period from a regression of county warehousing quarterly earnings per worker on leads and lags of a count of fulfillment centers in that county as well as county fixed effects. Other controls are indicated at the bottom of the table. Regressions are weighted by mean county population, standard errors are clustered at the county level, and the figure shows 95 percent confidence intervals. We convert the marginal effects and standard errors into percent changes in earnings by dividing coefficients by the sample mean quarterly earnings per worker.

View the underlying data on epi.org.