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EN
Research background: Numerous studies show that men's and women's situation on the labour market differs. Women's disadvantageous position on the labour market in Poland has been confirmed by statistical data (Kobiety..., 2016). The most common reasons for de-registration from the employment office are finding a job and deleting from the records due to an unjustified refusal to accept an offer by an unemployed person. Additionally, registered unemployed people can for example: retire, apply for invalidity pension, receive early retirement benefits or start full time studies. The above causes are regarded as competing risks of various kinds. Purpose of the article: The purpose of this article is to assess the effect of the unemployed individual's gender on the probability and intensity of de-registering from the labour office lists due to finding a job, de-registering or other causes. Methods: In the study the survival analysis methods were used. The assessment of the probability of de-registration due to a specific cause was made by means of the cumulative incidence function. The intensity of de-registration was tested with the Lunn-McNeil model. Differences in the effect of gender on the de-registration possibility were tested with the use of Gray's test. The study was based on individual data of people registered by the Labour Office in Szczecin. Findings & Value added: Among women, job-finding was the most common cause of de-registration, followed by the removal from the register. In the case of men the order was reversed, the most probable de-registration cause was the removal, followed by job-finding. The remaining causes were of marginal significance, both for men and women. Women took up a job more intensively than men and were less intensively removed from the register. The differences between males and females in the intensities of de-registering due to the remaining causes were not statistically relevant.
PL
Celem artykułu jest analiza wpływu płci osoby bezrobotnej na prawdopodobieństwo wyrejestrowania z urzędu pracy z powodu podjęcia pracy, odmowy lub pozostałych przyczyn. Powody te stanowią różnego rodzaju zdarzenia konkurujące. W badaniu zastosowano metody analizy trwania, przydatne w przypadku występowania danych cenzurowanych. Do oceny ryzyk konkurujących wykorzystano funkcję skumulowanej częstości (CIF). Zbadaniu różnic we wpływie płci na prawdopodobieństwo wyrejestrowania za sprawą określonej przyczyny posłużył test Graya. W badaniu posłużono się danymi indywidualnych osób zarejestrowanych w Powiatowym Urzędzie Pracy w Szczecinie.
EN
The purpose of the paper is to analyse the impact of gender on the probability of an unemployed person deregistering from a Labour Office because of finding income-generating work, refusal to accept a job, or other causes. Different competing events might become reasons for such a turn of events. The study uses survival analysis methods, helpful in the case of censored data. The cumulative incidence function (CIF) is used to assess competing risks. Gray's test was applied to examine differences in the influence of gender on the probability of deregistration due to a specific cause. The study was based on data of individual jobseekers registered at the County Labour Office in Szczecin.
PL
Celem artykułu jest przedstawienie wybranych metod analizy trwania do oceny prawdopodobieństwa wyjścia z bezrobocia dla różnych rodzajów ryzyka konkurującego. W badaniu wykorzystano funkcję skumulowanej częstości i skumulowane prawdopodobieństwo warunkowe oraz dopełnienie do jedności estymatora Kaplana-Meiera. Za pomocą trzech estymatorów porównano prawdopodobieństwo wyrejestrowania z powodu podjęcia pracy, wykreślenia i pozostałych przyczyn. Analizę przeprowadzono na podstawie danych indywidualnych osób zarejestrowanych w Powiatowym Urzędzie Pracy w Szczecinie.
EN
The purpose of this article is to present selected methods of the survival analysis to evaluate the probability of leaving unemployment for the various types of competing risks. Complement to the unity of the Kaplan-Meier estimator, cumulative incidence function and cumulative conditional probability were used in the study. With these three estimators, the probability of deregistering caused by undertaking work, refusal and other causes were compared. The analysis was based on data from the Powiat Labour Office in Szczecin.
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