Table 3

Alternative Specifications

A. Replacing BLS Unemployment Rate with BEA Employment Rate
Ordinary Least SquaresInstrumental Variables
123456
   Employment rate0.001
(0.002)
0.003
(0.003)
0.007***
(0.002)
0.012*
(0.007)
0.023**
(0.010)
0.024***
(0.007)
   First stage F-statistic32.1620.5319.75
   Probability > F0.0000.0000.000
   State time trendsNoYesYesNoYesYes
   Demographic controlsNoNoYesNoNoYes
B. Instrumental Variables Estimates: Earnings Growth Instrument
789101112
   Unemployment rate0.020**
(0.007)
0.022**
(0.008)
0.020**
(0.005)
   Employment rate0.017**
(0.007)
0.030***
(0.012)
0.027***
(0.008)
   First stage F-statistic38.1927.6528.9825.4510.8212.93
   Probability > F0.0000.0000.0000.0000.0020.001
   State time trendsNoYesYesNoYesYes
   Demographic controlsNoNoYesNoNoYes
C. Reduced Form Estimates: Predicted Employment and Earnings Growth
131415161718
   Predicted employment growth0.011*
(0.006)
0.014**
(0.006)
0.014***
(0.004)
   Predicted earnings growth0.009**
(0.004)
0.009**
(0.004)
0.009***
(0.003)
   State time trendsNoYesYesNoYesYes
   Demographic controlsNoNoYesNoNoYes
  • Notes: N = 1,530. The dependent variable is the log of the number of births per 1,000 women aged 16–45. Standard errors (in parentheses) are Huber-White robust and clustered at the state level.

  • ↵* p < 0.1,

  • ↵** p < 0.05,

  • ↵*** p < 0.01. Estimates are weighted by the number of women aged 16–45 in each state-year cell. All regressions include state and year fixed effects. Demographic controls include the fraction of residents who are black, the fraction of residents who are Hispanic, the fraction of residents who are high school graduates, the fraction of residents who are college graduates, and the fraction of residents in each of five age groups: 16–25, 26–35, 36–45, 46–55, and 66 and older.