Household consumption change in the context of labour market changes in Japan during 1984–2014

Author:

Bachmann Janika

Abstract

PurposeThe purpose of this paper is to examine how labour market changes impact the change in the aggregated household consumption, which is a topic that is under-researched in Japan.Design/methodology/approachThe author uses a three-step approach. The first step is a descriptive overview of the trends for cohort, age and year. The second step is to test the variation attributable to age-period-cohort interactions using APC analysis. The third step is to check if identifiable linear trend exists between the consumption changes and the labour market changes.FindingsThe analysis shows that major labour market changesper sedo not contribute to household consumption adjustment. Meanwhile, the labour market conditions at the time of joining the labour force may be more important in shaping consumption during working life period than labour market changes during employment.Research limitations/implicationsThe cohorts are created based on birth years, which is a limitation imposed by the data availability rather than characteristics of the population group. The main reason behind the limited data points is the survey being conducted every five years and 2014 being the most recent year for which the data are available.Originality/valueResearch about cohort consumption in Japan is limited to the consumption composition changes or to the growing population of unmarried singles. This analysis will examine how labour market changes impact the change in the aggregated household consumption, which is a topic that is under-researched in Japan. In the analysis, the author uses the Python APC model and Python statsmodel OLS regression, providing the notebooks with code and full results in Appendices.

Publisher

Emerald

Subject

Strategy and Management,Finance,Accounting

Reference30 articles.

1. 近年における消費者行動の変化と研究上の課題;Japan Marketing Academy,2013

2. Consumption and children,2002

3. Franco Modigliani and the Life Cycle Theory of Consumption;Banca Nazionale del Lavoro Quarterly Review,2005

4. Debiasi, E. (2018), “Methodologies and data mining techniques for the analysis of big data based on longitudinal population and epidemiological registers”, 10 October, available at: http://longpop-itn.eu/wp-content/

5. Frederick, S. (1999), “Discounting, time preference, and identity”, PhD thesis, Department of Social and Decision Sciences, Carnegie Mellon University.

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