<abstract xmlns="http://www.w3.org/1999/xhtml"><p>In a duration analysis of enterprises, as a rule there are determined four basic functions related to the time of their duration, i.e.: the density function; the distribution function; the survival function, and the hazard function. It turns out that the hazard function and its cumulative version are the key to understanding modern survival analysis. The aim of the paper is to indicate the best method of the estimation of the values of individual functions in survival analysis based on other functions. The paper provides compiled and classified information on particular functions used in the non-parametric duration analysis of enterprises. It examines some theoretical and practical problems related to the determination of, among others, the hazard function and the cumulative hazard function on the basis of data in cohort tables and the results of the estimation of the survival function with the use of the Kaplan-Meier method. The considerations included in the paper are illustrated with the results of analyses for enterprises established in the Łódzkie Voivodeship in 2001-2015 (including those which went into liquidation).</p></abstract>

In a duration analysis of enterprises, as a rule there are determined four basic functions related to the time of their duration, i.e.: the density function; the distribution function; the survival function, and the hazard function. It turns out that the hazard function and its cumulative version are the key to understanding modern survival analysis. The aim of the paper is to indicate the best method of the estimation of the values of individual functions in survival analysis based on other functions. The paper provides compiled and classified information on particular functions used in the non-parametric duration analysis of enterprises. It examines some theoretical and practical problems related to the determination of, among others, the hazard function and the cumulative hazard function on the basis of data in cohort tables and the results of the estimation of the survival function with the use of the Kaplan-Meier method. The considerations included in the paper are illustrated with the results of analyses for enterprises established in the Łódzkie Voivodeship in 2001-2015 (including those which went into liquidation).

The Hazard Function and Its Role in a Non-Parametric Duration Analysis of Enterprises in the Łódzkie Voivodeship

Econometrics

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

In a duration analysis of enterprises, as a rule there are determined four basic functions related to the time of their duration, i.e.: the density function;...

The Hazard Function and Its Role in a Non-Parametric Duration Analysis of Enterprises in the Łódzkie Voivodeship

Publié en ligne: 24 sept. 2019

Pages: 59 - 75

DOI: https://doi.org/10.15611/eada.2019.3.06

Mots clés
enterprises, duration analysis, hazard function, cumulative hazard function, mean absolute percentage error, mean absolute percentage error

© 2019 Artur Mikulec, published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

The Hazard Function and Its Role in a Non-Parametric Duration Analysis of Enterprises in the Łódzkie Voivodeship

Publié en ligne: 24 sept. 2019

Pages: 59 - 75

DOI: https://doi.org/10.15611/eada.2019.3.06

Mots clésenterprises, duration analysis, hazard function, cumulative hazard function, mean absolute percentage error, mean absolute percentage error

© 2019 Artur Mikulec, published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Mots clés
enterprises, duration analysis, hazard function, cumulative hazard function, mean absolute percentage error, mean absolute percentage error