Space, Time, and Local Employment Growth: An Application of Spatial Regression Analysis

27 Pages Posted: 11 Dec 2007

See all articles by Richard Shearmur

Richard Shearmur

University of Quebec at Montreal

Philippe Apparicio

University of Quebec at Montreal

Pauline Lizion

University of Quebec at Montreal

Mario Polèse

University of Quebec at Montreal - INRS

Abstract

Local and regional employment growth is generally studied either by searching for local qualitative explanatory factors such as governance, synergy between firms, and milieu effects, or by searching for general growth factors using statistical techniques. The body of work that relies on this approach has tended, in keeping with economics' nomothetic tradition, to assume that local and regional growth factors are constant over space. The focus of this paper is on exploring the spatial stationarity of employment growth factors in Canada, but it also seeks to clarify some of the broad principles behind spatial regression techniques in order to provide a point of entry and a conceptual framework for empirical researchers. To do so, we apply a recently developed technique, Geographically Weighted Regression (GWR), and we explore the method's advantages and limits for answering our research question. We find evidence that growth factors differ across Canada, but we also conclude that the GWR technique, given the number and shape of regions available for our analysis and given certain limitations that are currently inherent to the method, can only provide tentative and exploratory results.

Suggested Citation

Shearmur, Richard George and Apparicio, Philippe and Lizion, Pauline and Polese, Mario, Space, Time, and Local Employment Growth: An Application of Spatial Regression Analysis. Growth and Change, Vol. 38, No. 4, pp. 696-722, December 2007, Available at SSRN: https://ssrn.com/abstract=1061882 or http://dx.doi.org/10.1111/j.1468-2257.2007.00393.x

Richard George Shearmur (Contact Author)

University of Quebec at Montreal ( email )

P.O. Box 8888, Downtown Station
Succursale Centre Ville
Montreal, Quebec H3C 3P8
Canada

Philippe Apparicio

University of Quebec at Montreal ( email )

P.O. Box 8888, Downtown Station
Succursale Centre Ville
Montreal, Quebec H3C 3P8
Canada

Pauline Lizion

University of Quebec at Montreal ( email )

P.O. Box 8888, Downtown Station
Succursale Centre Ville
Montreal, Quebec H3C 3P8
Canada

Mario Polese

University of Quebec at Montreal - INRS ( email )

P.O. Box 8888, Downtown Station
Succursale Centre Ville
Montreal, Quebec H3C 3P8
Canada

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