Application of the MESS Model in Space-Time Analysis of the Unemployment Rate in Poland

Authors

  • Iwona Müller-Frączek Uniwersytet Mikołaja Kopernika w Toruniu, Wydział Nauk Ekonomicznych i Zarządzania image/svg+xml
  • Michał Bernard Pietrzak Uniwersytet Mikołaja Kopernika w Toruniu, Wydział Nauk Ekonomicznych i Zarządzania image/svg+xml

DOI:

https://doi.org/10.18778/0208-6018.293.09

Abstract

The purpose of the article was a space-time analysis of the unemployment rate in Polish poviats. In the research we use a model in which spatial dependence is represented in the exponential form, based on the neighborhood matrix. This model, called the Matrix Exponential model, was proposed by J.P. LeSage and R.K. Pace in 2007. It is characterized by simplicity of estimation, which can compete with other known approaches. The presented analysis was a continuation of previous purely spatial studies (Müller-Frączek, Pietrzak 2011b). This article consists of three parts. Each of them provides an analysis of the unemployment rate registered in Poland at the end of the years 2004–2009. In the first part the unemployment rate was analyzed for each year separately. Almost linear changes of parameters of the space models, allowed us to build a space-time matrix exponential model MESS. It was described in the second part of the article. In the last part the results, obtained using the MESS model, were confronted with an approach based on space-time autoregressive model.

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References

Anselin, L. (1988), Spatial Econometrics: Method and Models, Kluwer Academic Publishers, Netherlands.
Google Scholar DOI: https://doi.org/10.1007/978-94-015-7799-1

Arbia G. (2006), Spatial Econometrics, Springer-Verlag GmbH.
Google Scholar

Clif A., Ord J. (1981), Spatial Processes, Models and Applications, Pion, London.
Google Scholar

Haining R.P. (2005), Spatial Data Analysis. Theory and Practice, Cambridge University Press, Cambridge.
Google Scholar

LeSage J.P., Pace, R.K. (2007), A Matrix Exponentials Spatial Specifications, Journal of Econometrics, 140:1.
Google Scholar DOI: https://doi.org/10.1016/j.jeconom.2006.09.007

LeSage J.P., Pace R.K. (2009), Introduction to Spatial Econometrics, CRC Press.
Google Scholar DOI: https://doi.org/10.1201/9781420064254

Müller-Frączek I., Pietrzak M.B. (201 la), Przestrzenna analiza stopy bezrobocia w Polsce w latach 2004–2008, (w:) Economic Development and Management of Regions, Hradec Kralove.
Google Scholar

Müller-Frączek I., Pietrzak M.B. (2011b), Analiza stopy bezrobocia w Polsce z wykorzystaniem przestrzennego modelu MESS, Folia Oeconomica, Wydawnictwo UL, Łódź, nr 253.
Google Scholar

Müller-Frączek I., Pietrzak M.B. (201 lc), Space-Time Modelling of the Unemployment Rate in Polish Poviats, Dynamic Econometric Models, Toruń, no. 11.
Google Scholar DOI: https://doi.org/10.12775/DEM.2011.014

Suchecki B. (red.), (2010), Ekonometria Przestrzenna, Wydawnictwo CH. Beck, Warszawa.
Google Scholar

Suchecki B. (red.), (2012), Ekonometria Przestrzenna II, Wydawnictwo C.H. Beck, Warszawa.
Google Scholar

Szulc E. (2007), Ekonometryczna analiza wielowymiarowych procesów, Wyd. UMK, Toruń.
Google Scholar

Zeliaś A. (1991), Ekonometria Przestrzenna, PWE, Warszawa.
Google Scholar

Published

2013-01-01

How to Cite

Müller-Frączek, I., & Pietrzak, M. B. (2013). Application of the MESS Model in Space-Time Analysis of the Unemployment Rate in Poland. Acta Universitatis Lodziensis. Folia Oeconomica, (293), 101–110. https://doi.org/10.18778/0208-6018.293.09

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Articles