IDEAS home Printed from https://ideas.repec.org/a/taf/specan/v2y2007i3p297-316.html
   My bibliography  Save this article

A Spatial Modelling Framework for Income Estimation

Author

Listed:
  • Stamatis Kalogirou
  • Thomas Hatzichristos

Abstract

Abstract The main aim of this paper is to provide a spatial modelling framework for income estimation through the application of a contemporary spatial analysis technique. The application refers to the modelling of mean recorded household income in the area covered by the postcodes of the municipality of Athens in 2001. The main findings suggest that there is a very strong relationship between the proportion of people with a postgraduate qualification (namely, a Master's degree or PhD) and mean household income. Furthermore, there is evidence that this relationship is not stationary across space. This finding allows a better understanding as well as modelling of the main determinants of income in Athens.

Suggested Citation

  • Stamatis Kalogirou & Thomas Hatzichristos, 2007. "A Spatial Modelling Framework for Income Estimation," Spatial Economic Analysis, Taylor & Francis Journals, vol. 2(3), pages 297-316.
    • Handle: RePEc:taf:specan:v:2:y:2007:i:3:p:297-316
    DOI: 10.1080/17421770701576921
    as

    Download full text from publisher

    File URL: http://www.taylorandfrancisonline.com/doi/abs/10.1080/17421770701576921
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/17421770701576921?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Orley Ashenfelter & Cecilia E. Rouse, 1998. "Schooling, Intelligence, and Income in America: Cracks in the Bell Curve," Working Papers 786, Princeton University, Department of Economics, Industrial Relations Section..
    2. José De Gregorio & Jong-Wha Lee, 1999. "Education and Income Distribution: New Evidence from Cross-country Data," Documentos de Trabajo 55, Centro de Economía Aplicada, Universidad de Chile.
    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. Prodromídis, Pródromos-Ioánnis K., 2017. "Analyzing local incomes in Greece by fitting space with an econometrics driven method," The Journal of Economic Asymmetries, Elsevier, vol. 15(C), pages 1-16.
    2. Tsimpanos, Apostolos & Tsimbos, Cleon & Kalogirou, Stamatis, 2018. "Assessing spatial variation and heterogeneity of fertility in Greece at local authority level," MPRA Paper 100406, University Library of Munich, Germany.
    3. Alasdair Rae, 2009. "Isolated Entities or Integrated Neighbourhoods? An Alternative View of the Measurement of Deprivation," Urban Studies, Urban Studies Journal Limited, vol. 46(9), pages 1859-1878, August.
    4. Giuseppe Arbia, 2011. "A Lustrum of SEA: Recent Research Trends Following the Creation of the Spatial Econometrics Association (2007--2011)," Spatial Economic Analysis, Taylor & Francis Journals, vol. 6(4), pages 377-395, July.

    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. Raaum,O. & Aabo,T.E., 1999. "The effect of schooling on earnings : the role of family background studied by a large sample of Norwegian twins," Memorandum 16/1999, Oslo University, Department of Economics.
    2. Isaac Ehrlich & Jinyoung Kim, 2007. "The Evolution of Income and Fertility Inequalities over the Course of Economic Development: A Human Capital Perspective," Journal of Human Capital, University of Chicago Press, vol. 1(1), pages 137-174.
    3. Bas van Leeuwen & Peter Foldvari, 2012. "The development of inequality and poverty in Indonesia, 1932-1999," Working Papers 0026, Utrecht University, Centre for Global Economic History.
    4. Herschel I. Grossman & Minseong Kim, 2003. "Educational Policy: Egalitarian or Elitist?," Economics and Politics, Wiley Blackwell, vol. 15(3), pages 225-246, November.
    5. McMahon, Walter W., 1998. "Education and Growth in East Asia," Economics of Education Review, Elsevier, vol. 17(2), pages 159-172, April.
    6. Oddbjørn Raaum & Tom Erik Aabø, 2000. "The Effect of Schooling on Earnings: Evidence on the role of family background from a large sample of Norwegian twins," Nordic Journal of Political Economy, Nordic Journal of Political Economy, vol. 26, pages 95-113.
    7. Liang Zhao & Joyce P. Jacobsen, 2006. "Revisiting The Bell Curve Debate Regarding the Effects of Cognitive Ability on Wages," Wesleyan Economics Working Papers 2006-026, Wesleyan University, Department of Economics.
    8. Deininger, Klaus & Olinto, Pedro, 2000. "Asset distribution, inequality, and growth," Policy Research Working Paper Series 2375, The World Bank.
    9. Chen,Derek Hung Chiat & Ranaweera,Thilakaratna & Storozhuk, Andriy, 2004. "The RMSM-S+P : a minimal poverty module for the RMSM-X," Policy Research Working Paper Series 3304, The World Bank.
    10. Dawood MAMOON, 2018. "Skilled-unskilled wage asymmetries as an outcome of skewed international trade patterns in the South," Turkish Economic Review, KSP Journals, vol. 5(1), pages 65-82, March.
    11. Gilles Saint-Paul, 2003. "Economic aspects of human cloning and reprogenetics [‘Market making inroads in organ transplantation, assisted reproduction’]," Economic Policy, CEPR, CESifo, Sciences Po;CES;MSH, vol. 18(36), pages 73-122.
    12. Easterlin, Richard A., 2001. "Life cycle welfare: evidence and conjecture," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 30(1), pages 31-61, January.
    13. Pereira, Pedro T. & Martins, Pedro S., 2000. "Does Education Reduce Wage Inequality? Quantile Regressions Evidence from Fifteen European Countries," IZA Discussion Papers 120, Institute of Labor Economics (IZA).
    14. Viarengo, Martina, 2007. "An historical analysis of the expansion of compulsory schooling in Europe after the Second World War," Economic History Working Papers 4286, London School of Economics and Political Science, Department of Economic History.
    15. José De Gregorio & Jong–Wha Lee, 2002. "Education and Income Inequality: New Evidence From Cross‐Country Data," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 48(3), pages 395-416, September.
    16. Samina Sabir & Nighat Aziz, 2018. "Impact of Health and Education on Income Inequality: Evidence from Selected Developing Countries," Business & Economic Review, Institute of Management Sciences, Peshawar, Pakistan, vol. 10(4), pages 83-102, December.
    17. Gundlach, Erich & Hemmer, Hans-Rimbert, 2003. "Soziale Ertragsraten und Verteilungseffekte des Humankapitals: internationale Evidenz," Open Access Publications from Kiel Institute for the World Economy 3223, Kiel Institute for the World Economy (IfW Kiel).
    18. Digdowiseiso, Kumba, 2010. "Measuring gini coefficient of education: the Indonesian cases," MPRA Paper 19865, University Library of Munich, Germany.
    19. Leon-Gonzalez, Roberto & Tseng, Fu Min, 2011. "Socio-economic determinants of mortality in Taiwan: Combining individual and aggregate data," Health Policy, Elsevier, vol. 99(1), pages 23-36, January.
    20. IBOURK, Aomar & AMAGHOUSS, Jabrane, 2015. "Inequality In Education In The Mena Region: A Macroeconometric Investigation Using Normative Indicators," Applied Econometrics and International Development, Euro-American Association of Economic Development, vol. 15(2), pages 129-146.

    More about this item

    Keywords

    Income modelling; spatial statistics; geographically weighted regression; C31; R2;
    All these keywords.

    JEL classification:

    • C31 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions; Social Interaction Models
    • R2 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis

    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:taf:specan:v:2:y:2007:i:3:p:297-316. 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/RSEA20 .

    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.