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Table 7 Logit regression output for the propensity score calculation (probability of treatment)

From: Reemployment premium effect of furlough programs: evaluating Spain’s scheme during the COVID-19 crisis

Variable

Sample I

Sample II

Coeff

Z-stat

Coeff

Z-stat

Male

0.109

(1.22)

0.0855

(0.38)

Female

Omitted

(.)

Omitted

(.)

Andalucía

\(-\)0.433

(\(-\)0.51)

0.559

(0.64)

Aragón

0.320

(0.37)

0.864

(0.88)

Asturias

0.841

(0.94)

1.330

(1.24)

Baleares

0.641

(0.72)

1.833

(1.73)

Canarias

0.603

(0.69)

2.177

(2.38)***

Cantabria

0.00348

(0.00)

0.228

(0.18)

Castilla-León

0.242

(0.28)

0.877

(0.98)

Castilla-LaMancha

\(-\)0.0920

(\(-\)0.11)

1.030

(1.13)

Cataluña

0.453

(0.53)

1.255

(1.43)

C.Valenciana

\(-\)0.0984

(\(-\)0.11)

0.563

(0.63)

Extremadura

\(-\)0.621

(\(-\)0.70)

0.957

(0.91)

Galicia

0.275

(0.32)

0.656

(0.74)

C.Madrid

\(-\)0.261

(\(-\)0.30)

0.0617

(0.07)

R.Murcia

\(-\)0.207

(\(-\)0.23)

1.837

(1.81)

C.F.Navarra

0.127

(0.14)

0.488

(0.42)

PaísVasco

0.577

(0.66)

1.390

(1.38)

LaRioja

0.0165

(0.02)

Omitted

(.)

Ceuta

0.743

(0.64)

  

Melilla

Omitted

(.)

  

Primary

\(-\)0.297

(\(-\)1.58)

\(-\)0.823

(\(-\)1.68)

Lower secondary

\(-\)0.0594

(\(-\)0.53)

\(-\)0.493

(\(-\)1.74)

Upper secondary

0.120

(0.94)

\(-\)0.166

(\(-\)0.55)

Post secondary

0.0726

(0.54)

\(-\)0.123

(\(-\)0.36)

Higher educ

Omitted

(.)

Omitted

(.)

Age

\(-\)0.00928

(\(-\)0.43)

0.0846

(1.55)

Age squared

0.000129

(0.46)

\(-\)0.000954

(\(-\)1.37)

National

0.451

(3.43)***

0.550

(1.68)

Foreign

Omitted

(.)

Omitted

(.)

Indefinite

2.205

(26.18)***

2.545

(11.94)***

Temporary

Omitted

(.)

Omitted

(.)

Full-time

\(-\)0.123

(\(-\)1.31)

\(-\)0.149

(\(-\)0.65)

Part-time

Omitted

(.)

Omitted

(.)

Primary sector

\(-\)1.606

(\(-\)3.92)***

\(-\)2.334

(\(-\)2.08)***

General manufacturing

\(-\)0.381

(\(-\)1.71)

\(-\)0.676

(\(-\)1.19)

Extract, Supply, OtherIndustry

0.0260

(0.12)

\(-\)1.068

(\(-\)1.85)

Machinery, Install, Repair

0.716

(3.28)***

0.245

(0.41)

Construction

\(-\)0.421

(\(-\)2.03)***

\(-\)0.602

(\(-\)1.07)

Trade, Accommodation, FoodServ

0.798

(5.92)***

0.516

(1.59)

Transp, Store, Info &Comm

\(-\)0.151

(\(-\)0.79)

\(-\)0.467

(\(-\)0.97)

FI, RealEstate, Prof-sci-tech

\(-\)0.0148

(\(-\)0.08)

\(-\)0.746

(\(-\)1.77)

PublicAdmin, Educ, Health

\(-\)0.206

(\(-\)1.26)

\(-\)0.985

(\(-\)2.31)***

Other services

Omitted

(.)

Omitted

(.)

Managerial

0.698

(1.70)

0.290

(0.34)

Technician: sci &Intelectual

0.720

(3.52)***

0.364

(0.71)

Technician: support

0.951

(5.64)***

0.317

(0.77)

Clerical

0.783

(4.94)***

0.621

(1.67)

Face to face services

0.706

(5.77)***

0.201

(0.71)

High skilled: Primary sector

\(-\)1.038

(\(-\)1.57)

\(-\)1.034

(\(-\)0.62)

High skilled: industry

0.555

(3.35)***

0.0854

(0.20)

Factory worker

0.624

(3.63)***

\(-\)0.0744

(\(-\)0.17)

Elementary occup

Omitted

(.)

Omitted

(.)

Constant

\(-\)1.556

(\(-\)1.61)

\(-\)4.578

(\(-\)3.18)***

Observations

4613

 

849

 

Pseudo \(R^{2}\)

0.281

 

0.366

 

chi2

1642.1***

 

423.7***

 
  1. z statistics in parentheses
  2. * \(p<0.1\), ** \(p<0.05\), *** \(p<0.01\)
  3. Note: Regions Ceuta and Melilla have no observations in sample II