Table 4 Regression results including both GDP and tightness
From: Cyclicality of labour market search: a new big data approach
Dependent variable | ||||||||
|---|---|---|---|---|---|---|---|---|
\(I^{JS}\) | \(I^{F}\) | \(I^{EA}\) | SP | |||||
Constant | \(63.08{***}\) | (16.89) | 6.22 | (25.23) | − 5.45 | (20.72) | \(6.66{***}\) | (1.82) |
\(GDP_{t}\) | − 0.26 | (0.66) | − 0.48 | (0.98) | − 1.50 | (1.24) | 0.10 | (0.08) |
\(GDP_{t-1}\) | − \(6.78{***}\) | (2.10) | − 4.47 | (3.16) | − 0.23 | (2.11) | − 0.06 | (0.20) |
\(GDP_{t-2}\) | − \(3.26{*}\) | (1.69) | − 1.96 | (2.38) | 0.80 | (3.64) | − \(0.24{*}\) | (0.13) |
\(GDP_{t-3}\) | − \(2.98{**}\) | (1.42) | \(5.21{***}\) | (1.94) | 2.44 | (2.54) | − \(0.42{***}\) | (0.14) |
\(\theta _{t}\) | 0.06 | (1.35) | \(2.66{*}\) | (1.34) | \(5.49{***}\) | (1.30) | 0.10 | (0.22) |
\(\theta _{t-1}\) | − 0.53 | (1.51) | 1.52 | (1.53) | − \(7.38{**}\) | (3.49) | − \(0.22{*}\) | (0.11) |
\(\theta _{t-2}\) | 1.31 | (3.49) | − 3.21 | (3.14) | \(5.22{*}\) | (3.03) | 0.16 | (0.26) |
\(\theta _{t-3}\) | − 0.19 | (3.35) | − 0.74 | (2.89) | − 2.19 | (1.85) | − 0.05 | (0.29) |
trend | 0.51 | (0.58) | 0.41 | (0.69) | − \(1.35{**}\) | (0.60) | 0.04 | (0.07) |
R-squared | 0.6893 | 0.2330 | 0.7051 | 0.4636 | ||||