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Table 5 Estimation results for spatial panel and panel models with public employment service data on vacancies*

From: Spatial matching on the urban labor market: estimates with unique micro data

 

Spatial panel models**

Non-spatial panel models

Variable

SAR

SLX

SDEM

Fixed effects

Pooled

A

–

–

–

–

1.41***

(0.000)

Wlog(M)

0.24***

(0.000)

–

 

–

–

Log(u)

-0.10

(0.38)

-0.34

(0.14)

-0.38

(0.1)

-0.10

(0.39)

0.44***

(0.000)

log(inf)

0.184**

(0.009)

0.191*

(0.01)

0.178*

(0.014)

0.20**

(0.006)

0.54***

(0.000)

log(v)

0.02

(0.41)

0.02

(0.46)

0.04

(0.35)

0.03

(0.26)

0.04

(0.08)

Wlog(U)

–

0.23

(0.38)

0.29

(0.23)

–

–

Wlog(inf)

–

0.18

(0.12)

0.10

(0.35)

–

–

Wlog(v)

–

0.05

(0.29)

0.04

(0.35)

–

–

\({\varvec{\lambda}}\)/We

–

 

0.23***

(0.000)

–

–

R-squared

0.87

0.03

0.88

0.02

0.84

Spatial Hausman

94

(0.000)

67.5

(0.000)

80.31

(0.000)

74.13

(0.000)

–

LM test for effects***

6.55

(0.000)

1.22

(0.1)

6.26

(0.000)

–

–

AIC/BIC

389/483

397/498

392/497

408/497

444/460

  1. *p-values are reported in brackets
  2. ** Spatial models were estimated with region fixed effects, ***LM is the Lagrange Multiplier test for individual effects