IDEAS home Printed from https://ideas.repec.org/p/eaa/ecodev/80.html
   My bibliography  Save this paper

Employment and Population in European Union: Econometric Models and Causality Tests

Author

Listed:
  • Aguayo, Eva
  • Guisan, Maria-Carmen

Abstract

We analyse the interdependence between non-agrarian employment, real value-added and population in 98 European regions, by means of a pool of data for the period 1985-1995, and in 5 EU countries with a pool for 1961-97. We test causality by means of Hausman´s test in these three equations models. Besides we test causality by means of Granger´s test and with time series of each country for 1961-2000. The main conclusion is that there is some degree of interdependence among the three variable: 1) Population moves towards employment. 2) Production increases with population and with social and institutional factors (human capital and other ones). 3) Employment increases with production and population.. The results agree with the Freeman´s conclusions for regional employment and population movements in the USA.

Suggested Citation

  • Aguayo, Eva & Guisan, Maria-Carmen, 2004. "Employment and Population in European Union: Econometric Models and Causality Tests," Economic Development 80, University of Santiago de Compostela. Faculty of Economics and Business. Econometrics..
    • Handle: RePEc:eaa:ecodev:80
    as

    Download full text from publisher

    File URL: http://www.usc.es/economet/aeeadepdf/aeeade80.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Rolf Funck & Gerhard Rembold, 1975. "A Multiregion, Multisector Forecasting Model For The Federal Republic Of Germany," Papers in Regional Science, Wiley Blackwell, vol. 34(1), pages 69-82, January.
    2. Nakamura, Alice & Nakamura, Masao, 1981. "On the Relationships among Several Specification Error Tests Presented by Durbin, Wu, and Hausman," Econometrica, Econometric Society, vol. 49(6), pages 1583-1588, November.
    3. Laurence Nayman & Deniz Ünal-Kesenci, 2001. "The French-German Productivity Comparison Revisited : Ten Years after the German Unification," Working Papers 2001-14, CEPII research center.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Guisan, M.C. & Aguayo, E., 2007. "Production By Sector In The European Union: Analysis Of France, Germany, Italy, Spain, Poland And The United Kingdom, 2000-2005," Regional and Sectoral Economic Studies, Euro-American Association of Economic Development, vol. 7(1), pages 33-46.
    2. Guisan, M.C. & Aguayo, E., 2006. "Employment by Sector in the European Union, the United States, Mexico and Canada, 1985-2005," Regional and Sectoral Economic Studies, Euro-American Association of Economic Development, vol. 6(1), pages 21-34.
    3. Guisan, M.C. & Aguayo, E., 2004. "Employment, Population and Regional Development in Western and Central Europe. Econometric Models and Challenges of EU Enlargement," Applied Econometrics and International Development, Euro-American Association of Economic Development, vol. 4(2), pages 129-142.
    4. Zisiadou, Argyro & Metaxas, Theodore, 2014. "The Mediterranean countries of European Union and their progress from 1980 to 2012: A comparative analysis," MPRA Paper 55029, University Library of Munich, Germany.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Guisan, M.Carmen & Aguayo, Eva, 2001. "Employment and regional development in Germany," Applied Econometrics and International Development, Euro-American Association of Economic Development, vol. 1(2), pages 59-90.
    2. M.Carmen Guisan & Eva Aguayo & A. David Carballas, 2004. "Human Capital, Industry, Tourism and Economic Development of EU25 Regions," ERSA conference papers ersa04p468, European Regional Science Association.
    3. Giscard Assoumou-ella, 2019. "Gender Inequality in Education and per capita GDP: the case of CEMAC Countries," Economics Bulletin, AccessEcon, vol. 39(2), pages 1154-1162.
    4. Araujo, Claudio & Bonjean, Catherine Araujo & Combes, Jean-Louis & Combes Motel, Pascale & Reis, Eustaquio J., 2009. "Property rights and deforestation in the Brazilian Amazon," Ecological Economics, Elsevier, vol. 68(8-9), pages 2461-2468, June.
    5. Reveley Callum & Shanaev Savva & Bin Yu & Panta Humnath & Ghimire Binam, 2023. "Analyst herding—whether, why, and when? Two new tests for herding detection in target forecast prices," Economics and Business Review, Sciendo, vol. 9(4), pages 25-55, December.
    6. Doko Tchatoka, Firmin Sabro, 2012. "Specification Tests with Weak and Invalid Instruments," MPRA Paper 40185, University Library of Munich, Germany.
    7. Odile Chagny & Valerie Chauvin & Paola Veroni, 2001. "Aller simple pour l’Union," Post-Print hal-01017073, HAL.
    8. Chen, Simiao & Jin, Zhangfeng & Bloom, David E., 2020. "Act Early to Prevent Infections and Save Lives: Causal Impact of Diagnostic Efficiency on the COVID-19 Pandemic," IZA Discussion Papers 13749, Institute of Labor Economics (IZA).
    9. Grossman, Michael & Joyce, Theodore J, 1990. "Unobservables, Pregnancy Resolutions, and Birth Weight Production Functions in New York City," Journal of Political Economy, University of Chicago Press, vol. 98(5), pages 983-1007, October.
    10. Davidson, Russell & MacKinnon, James G., 1989. "Testing for Consistency using Artificial Regressions," Econometric Theory, Cambridge University Press, vol. 5(3), pages 363-384, December.
    11. Azam, Jean-Paul, 2016. "Near identification of policy trade-offs using preference proxies to elicit hidden information in the linear case," TSE Working Papers 16-642, Toulouse School of Economics (TSE).
    12. Chavas, Jean-Paul, 2013. "On Demand Analysis and Dynamics: A Benefit Function Approach," 2013 Annual Meeting, August 4-6, 2013, Washington, D.C. 149683, Agricultural and Applied Economics Association.
    13. Doko Tchatoka, Firmin & Dufour, Jean-Marie, 2020. "Exogeneity tests, incomplete models, weak identification and non-Gaussian distributions: Invariance and finite-sample distributional theory," Journal of Econometrics, Elsevier, vol. 218(2), pages 390-418.
    14. Robert Mulligan, 1996. "Export-import endogeneity in the context of the Thirlwall- Hussain model: an application of the Durbin-Wu-Hausman test incorporating a Monte Carlo experiment," Applied Economics Letters, Taylor & Francis Journals, vol. 3(4), pages 275-279.
    15. Allen, David, 2022. "Asset Pricing Tests, Endogeneity issues and Fama-French factors," MPRA Paper 113610, University Library of Munich, Germany.
    16. John Geweke & Joel Horowitz & M. Hashem Pesaran, 2006. "Econometrics: A Bird’s Eye View," CESifo Working Paper Series 1870, CESifo.
    17. Jean-Paul Azam & Elodie Djemai, 2019. "Matching, Cooperation and HIV in the Couple," Working Papers DT/2019/02, DIAL (Développement, Institutions et Mondialisation).
    18. McGovern, Mark E. & Canning, David & Bärnighausen, Till, 2018. "Accounting for non-response bias using participation incentives and survey design: An application using gift vouchers," Economics Letters, Elsevier, vol. 171(C), pages 239-244.
    19. Christopher F Baum & Mark E. Schaffer & Steven Stillman, 2003. "Instrumental variables and GMM: Estimation and testing," Stata Journal, StataCorp LP, vol. 3(1), pages 1-31, March.
    20. Azam Jean-Paul, 2019. "Let’s Call their Bluff: The Politics of Econometric Methodology," Peace Economics, Peace Science, and Public Policy, De Gruyter, vol. 25(4), pages 1-7, December.

    More about this item

    Keywords

    Causality tests; Models of Employment and Population; Models of Employment and Production; European Economic; Regional Development;
    All these keywords.

    JEL classification:

    • C5 - Mathematical and Quantitative Methods - - Econometric Modeling
    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
    • J2 - Labor and Demographic Economics - - Demand and Supply of Labor
    • O18 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Urban, Rural, Regional, and Transportation Analysis; Housing; Infrastructure
    • O52 - Economic Development, Innovation, Technological Change, and Growth - - Economywide Country Studies - - - Europe
    • R23 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis - - - Regional Migration; Regional Labor Markets; Population

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eaa:ecodev:80. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: M. Carmen Guisan (email available below). General contact details of provider: https://edirc.repec.org/data/exusces.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.