Projection of Denmark’s Population 2021-2050 with a focus on Mortality Trends, Longevity, and Multigenerational Workforce

Název práce: Projection of Denmark’s Population 2021-2050 with a focus on Mortality Trends, Longevity, and Multigenerational Workforce
Autor(ka) práce: Abid, Mansoor
Typ práce: Diploma thesis
Vedoucí práce: Miskolczi, Martina
Oponenti práce: Šimková, Martina
Jazyk práce: English
Abstrakt:
The research’s aim is to project the population of Denmark from 2021 to 2050 and see the trends in longevity, mortality in the older ages while comparing them side by side with the official projections for the same time period. The main questions revolve around confirming if longevity is on the rise and mortality on the decline regardless of modelled assumptions of different projections, what are the consequences for the labor force and if immigration or an older workforce can be the solution. We find that Denmark would experience a small change in total population however an increase in the share of older population. Immigration will be beneficial however to very small extent. On the other hand, older workforce has a good potential with their good health, education levels and non-monetary motivations to stay in the workforce. Key areas identified that, if improved, can assist in a better and more feasible multigenerational workforce would be the communication and trust between management and the older employees. Along with that continued education and reskilling for the older employees will also be of paramount importance to make sure that a multigenerational workforce model can work on an organizational level and thus assist in slowing down the effects of aging on the productive population of Denmark.
Klíčová slova: Demography; Denmark’ population; older workforce; multigenerational workforce; population projection; cohort component method; immigration and labor market; stationary population, ; behavioral analysis
Název práce: Projection of Denmark’s Population 2021-2050 with a focus on Mortality Trends, Longevity, and Multigenerational Workforce
Autor(ka) práce: Abid, Mansoor
Typ práce: Diplomová práce
Vedoucí práce: Miskolczi, Martina
Oponenti práce: Šimková, Martina
Jazyk práce: English
Abstrakt:
The research’s aim is to project the population of Denmark from 2021 to 2050 and see the trends in longevity, mortality in the older ages while comparing them side by side with the official projections for the same time period. The main questions revolve around confirming if longevity is on the rise and mortality on the decline regardless of modelled assumptions of different projections, what are the consequences for the labor force and if immigration or an older workforce can be the solution. We find that Denmark would experience a small change in total population however an increase in the share of older population. Immigration will be beneficial however to very small extent. On the other hand, older workforce has a good potential with their good health, education levels and non-monetary motivations to stay in the workforce. Key areas identified that, if improved, can assist in a better and more feasible multigenerational workforce would be the communication and trust between management and the older employees. Along with that continued education and reskilling for the older employees will also be of paramount importance to make sure that a multigenerational workforce model can work on an organizational level and thus assist in slowing down the effects of aging on the productive population of Denmark.
Klíčová slova: multigenerational workforce; population projection; cohort component method; older workforce; Demography; Denmark’ population; immigration and labor market; stationary population; behavioral analysis

Informace o studiu

Studijní program / obor: Economic Data Analysis/Data Analysis and Modeling
Typ studijního programu: Magisterský studijní program
Přidělovaná hodnost: Ing.
Instituce přidělující hodnost: Vysoká škola ekonomická v Praze
Fakulta: Fakulta informatiky a statistiky
Katedra: Katedra demografie

Informace o odevzdání a obhajobě

Datum zadání práce: 3. 11. 2021
Datum podání práce: 30. 6. 2022
Datum obhajoby: 25. 8. 2022
Identifikátor v systému InSIS: https://insis.vse.cz/zp/78637/podrobnosti

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