2012Strathprints: The University of Strathclyde institutional repository (University of Strathclyde)Open access

The Impact of Population Ageing on the Labour Market : Evidence from Overlapping Generations Computable General Equilibrium (OLG-CGE) Model of Scotland

Katerina Lisenkova, Marcel Mérette, Robert E. Wright

Open full text 27 citations

Abstract

This paper presents a dynamic Overlapping Generations Computable General Equilibrium (OLG-CGE) model of Scotland. The model is used to examine the impact of population ageing on the labour market. More specifically, it is used to evaluate the effects of labour force decline and labour force ageing on key macro-economic variables. The second effect is assumed to operate through age-specific productivity and labour force participation. In the analysis, particular attention is paid to how population ageing impinges on the government expenditure constraint. The basic structure of the model follows in the Auerbach and Kotlikoff tradition. However, the model takes into consideration directly age-specific mortality. This is analogous to building in a cohort-component population projection structure to the model, which allows more complex and more realistic demographic scenarios to be considered.

Open-access reader

About this research paper

What this paper is about

This paper presents a dynamic Overlapping Generations Computable General Equilibrium (OLG-CGE) model of Scotland. The model is used to examine the impact of population ageing on the labour market. More specifically, it is used to evaluate the effects of labour force decline and labour force ageing on key macro-economic variables. The second effect is assumed to operate through age-specific productivity and labour force participation. In the analysis, particular attention is paid to how population ageing impinges on the government expenditure constraint. The basic structure of the model follows in the Auerbach and Kotlikoff tradition. However, the model takes into consideration directly age-specific mortality. This is analogous to building in a cohort-component population projection structure to the model, which allows more complex and more realistic demographic scenarios to be considered.

Why it matters

OpenAlex reports 27 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

This paper presents a dynamic Overlapping Generations Computable General Equilibrium (OLG-CGE) model of Scotland. The model is used to examine the impact of population ageing on the labour market. More specifically, it is used to evaluate the effects of labour force decline and labour force ageing on key macro-economic variables. The second effect is assumed to operate through age-specific productivity and labour force participation. In the analysis, particular attention is paid to how population ageing impinges on the government expenditure constraint. The basic structure of the model follows in the Auerbach and Kotlikoff tradition. However, the model takes into consideration directly age-specific mortality. This is analogous to building in a cohort-component population projection structure to the model, which allows more complex and more realistic demographic scenarios to be considered.

Key concepts: Computable general equilibrium, Overlapping generations model, Economics, Population ageing, Population, Labour supply, Productivity, General equilibrium theory

Related papers

Back to paper searchBrowse research topicsOriginal source
The Impact of Population Ageing on the Labour Market : Evidence from Overlapping Generations Computable General Equilibrium (OLG-CGE) Model of Scotland — Research Paper | ScholarLens