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Journal of Population Sciences

Table 6 GLM coefficients on matched data

From: Shall we have another? Effects of daycare benefits on fertility, a case study in a region in Northeastern Italy

Variable

Level

Hazard

Std. error

p-value

Type III p-value

(Intercept)

(Intercept)

0.103

0.345

0.000***

0.000

Year

2018

6.240

0.253

0.000***

0.000

2019

8.695

0.256

0.000***

0.000

2020

10.139

0.272

0.000***

0.000

Twin birth in 2016

Yes

0.123

0.502

0.000***

0.000

Family type

1 adult

0.549

0.165

0.000***

0.000

Maternal age

Years

0.938

0.007

0.000***

0.000

ISP (wealth) square root

Sqrt (euro*1.000)

1.047

0.010

0.000***

0.000

Regional daycare subsidy

Yes

1.154

0.067

0.032*

0.032

Qualifies for national baby bonus

Yes

1.891

0.140

0.000***

0.000

N. of children before 2016 birth and year

0, all years

1.000

0.000

 

0.000

1 and 2017

0.464

0.316

0.015*

0.000

2 and 2017

0.570

0.598

0.347

0.000

3 + and 2017

0.000

252.032

0.963

0.000

1 and 2018

0.352

0.157

0.000***

0.000

2 and 2018

0.493

0.288

0.014*

0.000

3 + and 2018

0.000

270.352

0.961

0.000

1 and 2019

0.271

0.153

0.000***

0.000

2 and 2019

0.247

0.340

0.000***

0.000

3 + and 2019

0.437

0.713

0.245

0.000

1 and 2020

0.194

0.175

0.000***

0.000

2 and 2020

0.097

0.505

0.000***

0.000

3 + and 2020

0.000

308.175

0.964

0.000

Mother’s employment status and year

Not employed, all years

1.000

0.000

 

0.034

Employed and 2017

0.760

0.270

0.309

0.034

Employed and 2018

0.703

0.126

0.005**

0.034

Employed and 2019

0.940

0.127

0.626

0.034

Employed and 2020

1.199

0.155

0.242

0.034

  1. *p-value < 0.05, **p-value < 0.01, ***p-value < 0.001