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Wyświetlanie 1-3 z 3
Tytuł:
Does the type of business activity and the enterprise location affect a firm’s survival? Results of an analysis for natural persons conducting economic activity in the Łódzkie Voivodship
Czy rodzaj prowadzonej działalności i lokalizacja przedsiębiorstwa wpływają na czas jego trwania? Wyniki analizy dla osób fizycznych prowadzących działalność gospodarczą w województwie łódzkim
Autorzy:
Mikulec, Artur
Misztal, Małgorzata
Powiązania:
https://bibliotekanauki.pl/articles/425175.pdf
Data publikacji:
2018
Wydawca:
Wydawnictwo Uniwersytetu Ekonomicznego we Wrocławiu
Tematy:
enterprises
duration analysis
Kaplan-Meier survival curve
Cox proportional-hazards model
survival trees
Opis:
The article presents the results of the duration analysis for 21,163 enterprises (natural persons conducting economic activity) established in the Łódzkie Voivodship in 2010 and observed until December 31, 2015. The Kaplan-Meier estimation of the survival function, the Cox proportionalhazards model and the recursive partitioning method (the CTree algorithm) are applied to achieve the goal of the conducted research i.e. to answer the following question: does the type of business activity and location of the enterprise affect its duration? Prediction error curves based on the bootstrap crossvalidation estimates of the prediction error are used to assess and compare predictions obtained from all three models. On the basis of the analysis results it can be assumed that the type of business activity makes firms more varied due to their duration compared to their location.
Źródło:
Econometrics. Ekonometria. Advances in Applied Data Analytics; 2018, 22, 3; 23-40
1507-3866
Pojawia się w:
Econometrics. Ekonometria. Advances in Applied Data Analytics
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Extensions of cox model for non-proportional hazards purpose
Autorzy:
Borucka, Jadwiga
Powiązania:
https://bibliotekanauki.pl/articles/425219.pdf
Data publikacji:
2014
Wydawca:
Wydawnictwo Uniwersytetu Ekonomicznego we Wrocławiu
Tematy:
Cox model
survival analysis
non-proportional hazards
Opis:
Cox proportional hazard model is one of the most common methods used in time to event analysis. The idea of the model is to define a hazard level as a dependent variable which is explained by the time-related component (so-called baseline hazard) and the covariates- related component. The model is based on several restrictive assumptions one of which is the assumption of proportional hazard. However, if this assumption is violated, this does not necessarily prevent an analyst from using Cox model. The current paper presents two ways of model modification in the case of non-proportional hazards: introducing interactions of selected covariates with function of time and stratification model. Calculations performed give the evidence that both methods result in better model fit as compared with the original model. Additionally, they allow interpreting the parameters estimates more precisely, taking into account the effect of the covariate at the hazard level that is changing over time. The choice of the appropriate method of tied events handling however is not straightforward and should be adjusted to the particular analysis purpose.
Źródło:
Econometrics. Ekonometria. Advances in Applied Data Analytics; 2014, 3(45); 85-101
1507-3866
Pojawia się w:
Econometrics. Ekonometria. Advances in Applied Data Analytics
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
The modified Lunn-McNeil model in the assessment of intensity of exiting from the unemployment
Zmodyfikowany model Lunna-McNeila w ocenie intensywności wyjścia z bezrobocia
Autorzy:
Bieszk-Stolorz, Beata
Powiązania:
https://bibliotekanauki.pl/articles/424823.pdf
Data publikacji:
2019
Wydawca:
Wydawnictwo Uniwersytetu Ekonomicznego we Wrocławiu
Tematy:
Lunn-McNeil model
non-proportional hazards
competing events
long-term unemployment
Opis:
The goal of the article is the assessment of the relative intensity of exiting from unemployment of long-term unemployed people with relation to their characteristics: gender, age, education, seniority and the number of subsequent registrations. The modified Lunn-McNeil model for various types of competing events: accepting the job, refusal and remaining causes of deregistration was used in the research. The modification consisted of the application of the stratified Cox model of non-proportional hazard, which allowed to assess the relative hazard after entering the state of long-term unemployment. The individual data of persons registered in the County [Powiat] Labour Office in Szczecin were used in the research. Age had the greatest impact on the change in relative hazard at the transition to long-term unemployment, while the level of education had no significant impact. The research made it possible to identify groups of people taking up work with the least intensity and refusing to take up jobs with the greatest intensity. These people should be taken into consideration during the process of creating the labour market policy.
Źródło:
Econometrics. Ekonometria. Advances in Applied Data Analytics; 2019, 23, 1; 77-89
1507-3866
Pojawia się w:
Econometrics. Ekonometria. Advances in Applied Data Analytics
Dostawca treści:
Biblioteka Nauki
Artykuł
    Wyświetlanie 1-3 z 3

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