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Table 5 Regression table Cox model

From: How unemployment insurance savings accounts affect employment duration: evidence from Chile

Variable

T 1- Employment

T 2- Unemployment

T 3- Inactivity

(1)

(2)

(3)

(1)

(2)

(3)

(1)

(2)

(3)

Coefficients

UISA

0.314***

0.318***

0.375***

0.301***

0.310***

0.645***

0.090

0.050

0.504***

Female

 

-0.275***

-0.297***

 

0.363***

0.358***

 

1.371***

1.102***

Age

 

-0.004

-0.004

 

-0.013***

-0.013***

 

0.012**

0.013*

Temp. Contract

 

0.643***

0.642***

 

1.239***

1.217***

 

1.204***

0.849***

Education

- High School

 

0.006

0.034

 

-0.307***

-0.276***

 

-0.379***

-0.294*

- Prof. Formation

 

0.077

0.139

 

-0.671***

-0.538***

 

0.063

0.323

- Univ. and higher

 

-0.069

0.003

 

-1.142***

-0.803***

 

-0.028

0.426

Hours

  

-0.000

  

0.015***

  

0.005

Income

- 100,000 CLP

  

-0.303

  

0.350

  

0.433

- 200,00 CLP

  

-0.499*

  

0.149

  

-0.086

- 300,000 CLP

  

-0.629**

  

-0.099

  

-0.819

> 300,000 CLP

  

-0.576*

  

-0.439

  

-1.086

Household Size

  

-0.010

  

-0.024

  

-0.031

Log Likelihood

-5,556

-5,510

-5,056

-6,180

-5,940

-4,618

-2,285

-2,160

-1,588

AIC

11,114

11,033

10,139

12,363

11,895

9,261

4,572

4,334

3,201

Pseudo R2

0.002

0.010

0.012

0.001

0.035

0.045

0.000

0.055

0.056

Wald Test Education

 

0.859

0.804

 

0.000

0.000

 

0.013

0.008

Wald Test Income

  

0.112

  

0.005

  

0.000

Employment Exit

798

798

741

864

860

689

318

318

240

At Risk

66,530

66,484

63,427

66,530

66,484

63,427

66,530

66,484

63,427

N

2,323

2,319

2,006

2,323

2,319

2,006

2,323

2,319

2,006

  1. *p < 0.1, **p < 0.05, ***p < 0.01.
  2. (Std. Err. adjusted clustered by ID).
  3. Notes: Regressions (1) present the simple model, regressions (2) the base specification, and regressions (3) the final model.