Modelling and comparing OECD countries' consumer behaviour

This thesis seeks to model and compare OECD countries' consumer behaviour. We build REPIHIRELCH and ECM formulations using long time-series based solely upon private sector measures of income for twenty OECD countries. No previous study features such a broad coverage of private sector data and models. Using the Johansen procedure we build structural ECMs based upon consumption, income and inflation allowing for heterogeneous dynamics across countries and considering whether an intercept should be included in, or excluded from, the cointegrating vector. Models embodying asymmetric nonlinear adjustment towards equilibrium are also developed. We are not aware of any previous study which considers such flexibility of specification for twenty OECD economies. \Ve build ECMs consistent with valid error-correction behaviour for eighteen countries and find evidence favouring asymmetric/nonlinear adjustment for twelve countries. We derive a REPIHIRELCH model in logarithmic form to allow for current income consumers, durable expenditures and intertemporal substitution. We are aware of no previous study which simultaneously allows for all three of these features in a REPIHIRELCH model. This model is estimated with both GMM and IV methods. A proportion of current income consumers is found for all twenty countries and, in addition, accommodation for durability is evident for two economies. There is no evidence of intertemporal substitution. Regressions are employed to explain the cross-country variations in the models' estimated parameters. We are not aware of any previous study attempting to explain variations in estimated elasticities from an ECM. We are able to explain the cross-country variations in the long run income and inflation elasticities but not the short run income and inflation elasticities or the adjustment coefficient. Only one previous study considers whether the cross-country variation in the estimated proportion of current income consumers can be explained by liquidity constraints. We use a broader range of proxies for liquidity constraints and additionally consider income uncertainty as a potential explanation. Application of iterative NL3 SLS to the whole panel reveals that both factors explain the cross-country variation in this proportion.

Name dc:type.qualificationname

phd

Level dc:type.qualificationlevel

doctoral

Grantor dc:publisher.institution

London Guildhall University

Year dc:date.issued

1999

Author dc:creator

• Stewart, Chris

Advisors dc:contributor.advisor

• Sarantis, Nicholas
• Smith, Ron
• Hadjimatheou, George

• 650 Management & auxiliary services

Dc Identifier Grantnumber

N/A

OAI identifier oai:identifier

oai:repository.londonmet.ac.uk:7310