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Table 2 Regression results: search intensities and GDP

From: Cyclicality of labour market search: a new big data approach

 

Dependent variable

\(I^{JS}\)

\(I^{F}\)

\(I^{EA}\)

SP

Constant

39.23***

(14.05)

− \(27.31{*}\)

(14.39)

− \(77.84{***}\)

(13.53)

\(7.18{***}\)

(0.75)

\(GDP_{t}\)

0.39

(0.81)

0.27

(1.14)

0.15

(1.29)

0.09**

(0.04)

\(GDP_{t-1}\)

− 5.55***

(1.08)

− 0.63

(2.35)

3.46**

(1.74)

− 0.13

(0.12)

\(GDP_{t-2}\)

− 1.65

(1.76)

0.07

(1.53)

7.22*

(4.03)

− 0.26**

(0.11)

\(GDP_{t-3}\)

− 1.52

(0.99)

5.82***

(0.74)

6.03**

(3.03)

− 0.43***

(0.14)

trend

0.45

(0.42)

− 0.81**

(0.33)

− 2.69***

(0.45)

0.04**

(0.02)

R-squared

0.6684

0.1505

0.5104

0.4409

  1. Estimated effects from OLS regressions with heteroscedasticity- and autocorrelation-robust standard errors (in parentheses). *, **, *** denote significance at the 10, 5, 1% level, respectively. \(I^{JS}\), \(I^{F}\), \(I^{EA}\): Search intensity of job seekers/firms/employment agencies. SP: Average search perimeter of job seekers in kilometers. All variables enter the regressions in logarithms