Concluding remarks Directory UMM :Data Elmu:jurnal:L:Labour Economics:Vol7.Issue2.Mar2000:

Ž . Carling et al. 1996 one cannot be quite certain that even reducing the period to 60 weeks would give clear effects. In addition to the exhaustion effects, the prospect of benefit cuts should lead to increased search efforts in the entire unemployment period of the first sample compared to the second one. This form of disincentive effect from the abolition of fixed benefit durations appears to be present in our material. For nearly the whole first year of the search period the hazard to employment for UB receivers is significantly lower for the 1991 compared to the 1990 sample, while there is no such effect for non-receivers. In conclusion, therefore, the incentive effect of a fixed benefits period is not rejected by this analysis.

5. Concluding remarks

We have investigated the potential incentive effect of a fixed unemployment insurance period by comparing two large groups of Norwegian unemployed persons, where the last was affected by a rule change that in practice extended the benefits to more than 3 years. The main body of the analysis was performed within the framework of a proportional hazard model with a flexible baseline. Our results suggest that the main effect of benefits running out is to make people drop out of the unemployment register. There is no evidence that the hazard into employment increased when the end of benefits approached in the group that was not affected by the liberalisation of compensation rules. Consequently, we cannot reject the null hypothesis that behaviour around benefits expiration was unaffected by the change. Our results conform with some previous research, but not with US studies that find that benefits expiration significantly increases the exit rate into employ- ment. One explanation may be the attractiveness of labour market programmes. Alternatively, the differences may be explained by the incentive effects being outweighed by a reduced job offer probability because of the long benefit period. On the other hand, our results indicate that the reform appeared to have an all over negative effect on the employment hazard. This suggests that fixed duration benefit periods do have positive incentive effects, even in cases where the periods are as long as in Norway. Taken together with previous research, one may still argue in favour of the policy recommendation that the unemployment benefits period should be fixed. Acknowledgements We would like to thank Anders Bjorklund, Josef Zweimuller, and Alf Erling ¨ ¨ Risa for useful comments and suggestions. Appendix A. Table A1. Variable descriptions Ž . Income Gross income previous year 1989 NoK Ž . Spouse inc. Spouse’s gross income previous year 1989 NoK Female Dummy variable s 1 if female Education Years of education Ž Experience1 Years with gross income 1‘‘G’’ regulated annually, . NoK 32275 in 1989 Experience2 Dummy s 1 if record in employment register F 1 year previous to unemployment period Married Dummy s 1 if married Div.rwidow Dummy s 1 if previously married Childr - 11 a children below 11 years Childr 11 - 18 a children between 11 and 18 years Non-Scand Non-Scandinavian citizenship Age groups Set of 6 dummy variables, reference is 36-45 years Ž Unemp Local unemployment rate time-varying, updated each . 4-week period Ž . Region 1 Base category Eastern Norway, including Oslo Region 2 Dummy s 1 if residing in Central Norway Region 3 Dummy s 1 if residing in WesternrSouthern Norway Region 4 Dummy s 1 if residing in Northern Norway UB-receiver Dummy s 1 if receiving unemployment benefits UB-period Set of five dummy variables indicating that UB-receiver s 1 and period s a, where a corresponds to weeks 69–72, 73–76, 77–80, 81–84, and 85–88, respectively. Month Set of six dummy variables controlling for the month the Ž . Ž spell started reference is June . Coefficients not . reported. Appendix B. Table A2. Individuals at risk, exits and censored, by period Period 1990 sample 1991 sample At risk Exits Censo- At risk Exits Censo- red red 9936 308 12 054 262 1 9628 629 11 792 595 2 8999 513 68 11 197 489 52 3 8418 310 1390 10 656 356 1351 4 6718 240 734 8949 239 945 5 5744 218 496 7765 246 717 Appendix B. Table A2 continued . 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