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Simulating Wages and House Prices Using the NEG

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Author Info
Bernard Fingleton () (Department of Economics, University of Strathclyde)

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Abstract

The paper incorporates house prices within an NEG framework leading to the spatial distributions of wages, prices and income. The model assumes that all expenditure goes to firms under a monopolistic competition market structure, that labour efficiency units are appropriate, and that spatial equilibrium exists. The house price model coefficients are estimated outside the NEG model, allowing an econometric analysis of the significance of relevant covariates. The paper illustrates the methodology by estimating wages, income and prices for small administrative areas in Great Britain, and uses the model to simulate the effects of an exogenous employment shock.

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File URL: http://www.strath.ac.uk/media/departments/economics/researchdiscussionpapers/2009/09-13BF.pdf
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Publisher Info
Paper provided by University of Strathclyde Business School, Department of Economics in its series Working Papers with number 09-13.

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Length: 29 pages
Date of creation: May 2009
Date of revision:
Handle: RePEc:str:wpaper:0913

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Related research
Keywords: new economic geography; real estate prices; spatial econometrics;

Other versions of this item:

Find related papers by JEL classification:
C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
C31 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
O18 - Economic Development, Technological Change, and Growth - - Economic Development - - - Regional, Urban, and Rural Analyses
R12 - Urban, Rural, and Regional Economics - - General Regional Economics - - - Size and Spatial Distributions of Regional Economic Activity; Interregional Trade (economic geography)
R31 - Urban, Rural, and Regional Economics - - Production Analysis and Firm Location - - - Housing Supply and Markets

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This page was last updated on 2009-11-12.


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