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Table 5

Parameter estimates from the logit regression including fishery wages in year t, regressing the probability of leaving against the variables indicated in Table 3 (and Eq. (1) ). Standard errors of the parameters and variance inflation factors (VIFs) are included. Furthermore, the table displays the % change in probability of leaving the fishery when the explanatory variable changes by 1%.

  2004 2005 2006 2007 2008 2009
Number of observations 540 511 487 384 304 255

Intercept Estimate −157.5 −86.53 −207.4*** 132.5*** −33.56 −240.1**
St. error 114.0 63.86 43.29 33.79 129.3 130.1
VIF

Hired Estimate −0.28 0.42 0.04 1.58*** 1.76** −0.21
St. error 0.76 0.53 0.50 0.49 0.70 1.03
VIF 1.52 1.30 1.16 1.15 1.32 1.26

Log (Wages-Fisheryt) Estimate −0.14 −5.85 8.43*** 4.64*** 2.20 1.19
St. error 4.42 4.31 1.57 1.68 2.59 6.82
VIF 1.25 1.13 1.08 1.10 1.14 1.11
% odds change −0.14 −5.65 8.75 4.73 2.21 1.19

Log (Wages-Othert) Estimate 15.46** 13.95 10.56*** 7.28*** −0.36 19.84***
St. error 7.65 4.57 3.31 2.58 11.01 7.27
VIF 1.01 1.02 1.02 1.05 1.03 1.04
% odds change 16.63 14.89 11.08 7.51 −0.36 21.82

Log (Social-Benefitt + Pensiont) Estimate 0.25*** 0.21 0.04 0.01 −0.05 0.17
St. error 0.09 0.06 0.06 0.07 0.11 0.11
VIF 1.51 1.26 1.18 1.13 1.33 1.18
% odds change 0.25 0.21 0.04 0.01 −0.05 0.17

Log (Family-Incomet) Estimate −1.53 0.17 −1.92* −1.05 0.30 −0.09
St. error 1.60 1.22 1.16 1.16 0.73 1.63
VIF 1.01 1.03 1.05 1.02 1.06 1.02
% odds change −1.51 0.17 −1.89 −1.04 0.30 −0.09

Log (DEA score) Estimate −1.10** −1.01 −0.99*** −0.60* −1.74*** −1.81**
St. error 0.52 0.46 0.37 0.35 0.58 0.91
VIF 1.27 1.16 1.07 1.08 1.17 1.11
% odds change −1.09 −1.00 −0.98 −0.60 −1.72 −1.78

Note: ‘***’=Significant at the 1% level, ‘**’=Significant at the 5% level, ‘*’=Significant at the 10% level.

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