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SSRN Electronic Journal
Article . 2014 . Peer-reviewed
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Modelling the Service Sector

Authors: Philip King; Stephen Millard;

Modelling the Service Sector

Abstract

In the wake of the financial crisis output fell dramatically while inflation remained above its target and productivity collapsed relative to its previous trend. The fall in productivity relative to trend was particularly pronounced within the service sector, and then most particularly in certain subsectors such as ‘Professional, Scientific and Technical Activities’. Given the weight of services in the economy – 75% in GDP and 50% in the CPI – it would seem that understanding how this sector works is crucial if we are to understand how the economy as a whole responds to shocks. But our standard macroeconomic models are not well suited to analysing this sector. In this paper, we try to address these deficiencies by modelling better the service sector and then examine the implications of trying to take certain features of the service sector into account. In order to do this, we first embarked on a series of structured visits to a set of firms that span the service sector. The motivation for doing this was that we could use our findings from these visits to get a better feel for how service sector firms operate and, so, to be able to construct a model of a ‘typical’ service sector firm. We then build a model taking into account what we found from the visits and examined the effects of demand shocks within the model. We find that the model can explain some of the qualitative movements in productivity seen in response to the financial crisis.

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Keywords

service sector; intangible investment, service Sector, Intangible Investment, Service sector; intangible investment, jel: jel:E22, jel: jel:D21, jel: jel:D24, jel: jel:E23

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
bronze