IDEAS home Printed from https://ideas.repec.org/p/mib/wpaper/376.html
   My bibliography  Save this paper

Do Individual Heterogeneity and Spatial Correlation Matter? An Innovative Approach to the Characterisation of the European Political Space

Author

Listed:
  • Giovanna, Iannantuoni
  • Elena, Manzoni
  • Francesca, Rossi

Abstract

In this paper we refine the interpretation of the European two-dimensional political space and the investigation of its determinants compared to the approach commonly adopted in the spatial voting literature. Specifically, we take into account heterogeneity and cross-correlation among legislators by explicitly including into the model a spatial effect which, in turn, relies on new sets of linguistic, geographical, institutional and cultural metrics. We confirm that the first dimension of the European political space is mainly explained by the Members of European Parliament's ideological position on a left-right scale. We also find that correlation across legislators plays a significant role in explaining the first dimension when their pairwise distance is defined according to an individualism index, which turns out to be closely related to left-right ideology positioning. Even more interestingly, we show that "space" intended in a broad economic sense plays an important role in interpreting the second dimension of the political spectrum. The most relevant metric that induces spatial effects along the second dimension is based on an institutional index. Moreover, we also find that the second dimension is influenced by the gender composition of the political parties.

Suggested Citation

  • Giovanna, Iannantuoni & Elena, Manzoni & Francesca, Rossi, 2017. "Do Individual Heterogeneity and Spatial Correlation Matter? An Innovative Approach to the Characterisation of the European Political Space," Working Papers 376, University of Milano-Bicocca, Department of Economics, revised 06 Dec 2017.
  • Handle: RePEc:mib:wpaper:376
    as

    Download full text from publisher

    File URL: http://repec.dems.unimib.it/repec/pdf/mibwpaper376.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Stephen Gibbons & Henry G. Overman, 2012. "Mostly Pointless Spatial Econometrics?," Journal of Regional Science, Wiley Blackwell, vol. 52(2), pages 172-191, May.
    2. Gibbons, Stephen & Overman, Henry G., 2012. "Mostly pointless spatial econometrics," LSE Research Online Documents on Economics 43403, London School of Economics and Political Science, LSE Library.
    3. Abdul Ghafar Noury & Simon Hix & Gérard Roland, 2007. "Democratic politics in the European Parliament," ULB Institutional Repository 2013/7744, ULB -- Universite Libre de Bruxelles.
    4. Victor Ginsburgh & Shlomo Weber, 2011. "How Many Languages Do We Need? The Economics of Linguistic Diversity," Economics Books, Princeton University Press, edition 1, number 9481.
    Full references (including those not matched with items on IDEAS)

    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. Sandy Fréret & Denis Maguain, 2017. "The effects of agglomeration on tax competition: evidence from a two-regime spatial panel model on French data," International Tax and Public Finance, Springer;International Institute of Public Finance, vol. 24(6), pages 1100-1140, December.
    2. Armbruster, Ginger & Endicott-Popovsky, Barbara & Whittington, Jan, 2012. "Are we prepared for the economic risk resulting from telecom hotel disruptions?," International Journal of Critical Infrastructure Protection, Elsevier, vol. 5(2), pages 55-65.
    3. Gregory T. Niemesh & L. Allison Jones-Farmer & Joseph Hart & William Holmes & Nathan Soundappan, 2020. "The Impact of Land Bank Demolitions on Property Values," Economics Bulletin, AccessEcon, vol. 40(1), pages 217-233.
    4. Emediegwu, Lotanna E. & Wossink, Ada & Hall, Alastair, 2022. "The impacts of climate change on agriculture in sub-Saharan Africa: A spatial panel data approach," World Development, Elsevier, vol. 158(C).
    5. Demidova, Olga, 2021. "Methods of spatial econometrics and evaluation of government programs effectiveness," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 64, pages 107-134.
    6. Muriuki, James & Hudson, Darren & Fuad, Syed & March, Raymond J. & Lacombe, Donald J., 2023. "Spillover effect of violent conflicts on food insecurity in sub-Saharan Africa," Food Policy, Elsevier, vol. 115(C).
    7. Martínez, Constanza & León, Carlos, 2016. "The cost of collateralized borrowing in the Colombian money market: Does connectedness matter?," Journal of Financial Stability, Elsevier, vol. 25(C), pages 193-205.
    8. Borsky, Stefan & Kalkschmied, Katja, 2019. "Corruption in space: A closer look at the world's subnations," European Journal of Political Economy, Elsevier, vol. 59(C), pages 400-422.
    9. Azémar, Céline & Desbordes, Rodolphe & Wooton, Ian, 2020. "Is international tax competition only about taxes? A market-based perspective," Journal of Comparative Economics, Elsevier, vol. 48(4), pages 891-912.
    10. Benjamin Wirth & Andreas Mense, 2014. "Flat Prices, Cell Phone Base Stations, and Network Structure," ERSA conference papers ersa14p1552, European Regional Science Association.
    11. Zachary Porreca, 2024. "Identifying the General Equilibrium Effects of Narcotics Enforcement," BAFFI CAREFIN Working Papers 24227, BAFFI CAREFIN, Centre for Applied Research on International Markets Banking Finance and Regulation, Universita' Bocconi, Milano, Italy.
    12. Elliott, Robert J.R. & Zhou, Ying, 2015. "Co-location and Spatial Wage Spillovers in China: The Role of Foreign Ownership and Trade," World Development, Elsevier, vol. 66(C), pages 629-644.
    13. Andrea Salvatori & Seetha Menon & Wouter Zwysen, 2018. "The effect of computer use on job quality: Evidence from Europe," OECD Social, Employment and Migration Working Papers 200, OECD Publishing.
    14. Steve Gibbons & Max Nathan & Henry G. Overman, 2014. "Evaluating Spatial Policies," SERC Policy Papers 012, Centre for Economic Performance, LSE.
    15. Johan Lundberg, 2021. "Horizontal interactions in local personal income taxes," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 67(1), pages 27-46, August.
    16. Jan K. Brueckner, 2023. "Is strategic interaction among governments just a modern phenomenon? Evidence on welfare competition under Britain’s 19th-century Poor Law," International Tax and Public Finance, Springer;International Institute of Public Finance, vol. 30(4), pages 879-912, August.
    17. Buettner, Thiess & Poehnlein, Maximilian, 2024. "Tax competition effects of a minimum tax rate: Empirical evidence from German municipalities," Journal of Public Economics, Elsevier, vol. 236(C).
    18. Paolo Veneri & Vicente Ruiz, 2016. "Urban-To-Rural Population Growth Linkages: Evidence From Oecd Tl3 Regions," Journal of Regional Science, Wiley Blackwell, vol. 56(1), pages 3-24, January.
    19. Montmartin, B. & Herrera, M. & Massard, N., 2015. "R&D policies in France: New evidence from a NUTS3 spatial analysis," Working Papers 2015-11, Grenoble Applied Economics Laboratory (GAEL).
    20. Teye, Alfred Larm & Ahelegbey, Daniel Felix, 2017. "Detecting spatial and temporal house price diffusion in the Netherlands: A Bayesian network approach," Regional Science and Urban Economics, Elsevier, vol. 65(C), pages 56-64.

    More about this item

    Keywords

    European political space; spatial autoregressions; NOMINATE; proximity matrices; economic distances;
    All these keywords.

    JEL classification:

    • D72 - Microeconomics - - Analysis of Collective Decision-Making - - - Political Processes: Rent-seeking, Lobbying, Elections, Legislatures, and Voting Behavior
    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models

    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:mib:wpaper:376. 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: Matteo Pelagatti (email available below). General contact details of provider: https://edirc.repec.org/data/dpmibit.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.