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Table 11 Earnings switcher regression with selection: pooled

From: Industry shutdown rates and permanent layoffs: evidence from firm-worker matched data

  Male Female
Shutdown rate −1.2943 −.9074
  (.6875) a (.9686)
XS–S .2229 .1779
  (.0228) c (.0224) c
S–XS −.1983 −.1368
  (.0141) c (.0399) c
S–S .0311 .0496
  (.0241) (.0329)
S–M .1259 .0597
  (.0276) c (.0354) a
M–S −.0593 −.0292
  (.0227) c (.0471)
M–M .0529 .0370
  (.0153) c (.0506)
M–L .1111 .0912
  (.0247) c (.0447) b
L–M −.0615 −.0133
  (.0165) c (.0577)
L–L .0627 .0714
  (.0211) c (.0442)
L–XL .0832 .0478
  (.0276) c (.0475)
XL–L −.0348 .1104
  (.0242) (.0685)
XL–XL .0206 .0695
  (.0177) (.0369) a
\(\log \overline {\text {wage bill}}_{ikjt}\) .2795 .3215
  (.0180) c (.0316) c
ρ (correlation) .0208 .0314
  (.0155) (.0420)
σ (variance) 1.1546 1.2967
  (.0313) c (.0288) c
λ (selection) .0240 .0408
  (.0180) a (.0547)
Observations 164,659 89,450
Observations (Censored) 60,750 48,027
logL −288,496.2 −139,451.6
  1. Note: The reference group is Ontario for region, 25–35 for age, 2005 for year, and construction for industry. The firm size classes are (XS) less than 5 employees, (S) 5–19 employees, (M) 20–99 employees, (L) 100–500 employees, and (XL) 500+ employees. Clustered standard errors, in parentheses, account for within industry correlation
  2. a, b, cStatistical significance at the 10, 5, and 1% levels, respectively