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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