IDEAS home Printed from https://ideas.repec.org/a/vrs/eaiada/v22y2018i4p65-78n4.html
   My bibliography  Save this article

Territorial Division and Income Affluence – Analysis Using Two-Level Logit Models

Author

Listed:
  • Sączewska-Piotrowska Anna

    (University of Economics in Katowice, Katowice, Poland)

Abstract

The aim of the paper was to assess differentiation of the occurrence of households’ income affluence in Poland between subregions. An analysis was conducted using two-level logit models without explanatory variables (null model) and with explanatory variables at household level (random intercept model and random slope model). The variables were related to the characteristics of the household and its head. The conducted analysis allowed to state that the occurrence of affluence is differentiated between subregions in the null model as well as in the model with explanatory variables.

Suggested Citation

  • Sączewska-Piotrowska Anna, 2018. "Territorial Division and Income Affluence – Analysis Using Two-Level Logit Models," Econometrics. Advances in Applied Data Analysis, Sciendo, vol. 22(4), pages 65-78, December.
  • Handle: RePEc:vrs:eaiada:v:22:y:2018:i:4:p:65-78:n:4
    DOI: 10.15611/eada.2018.4.04
    as

    Download full text from publisher

    File URL: https://doi.org/10.15611/eada.2018.4.04
    Download Restriction: no

    File URL: https://libkey.io/10.15611/eada.2018.4.04?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
    ---><---

    References listed on IDEAS

    as
    1. Andreas Peichl & Thilo Schaefer & Christoph Scheicher, 2010. "Measuring Richness And Poverty: A Micro Data Application To Europe And Germany," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 56(3), pages 597-619, September.
    2. Kyo-seong Kim & Yongwoo Lee & Yu-jeong Lee, 2010. "A Multilevel Analysis of Factors Related to Poverty in Welfare States," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 99(3), pages 391-404, December.
    3. Mohamed Amara & Hatem Jemmali, 2018. "Household and Contextual Indicators of Poverty in Tunisia: A Multilevel Analysis," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 137(1), pages 113-138, May.
    4. Bates, Douglas & Mächler, Martin & Bolker, Ben & Walker, Steve, 2015. "Fitting Linear Mixed-Effects Models Using lme4," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 67(i01).
    5. Maurizio Franzini & Elena Granaglia & Michele Raitano, 2016. "Extreme Inequalities in Contemporary Capitalism," Springer Books, Springer, number 978-3-319-28811-6, November.
    6. Arup Bose & Satya Chakravarty & Conchita D’Ambrosio, 2014. "Richness orderings," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 12(1), pages 5-22, March.
    7. Klaus Larsen & Jørgen Holm Petersen & Esben Budtz-Jørgensen & Lars Endahl, 2000. "Interpreting Parameters in the Logistic Regression Model with Random Effects," Biometrics, The International Biometric Society, vol. 56(3), pages 909-914, September.
    8. Michal Brzezinski, 2010. "Income Affluence in Poland," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 99(2), pages 285-299, November.
    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. Guido Alfani, 2017. "The rich in historical perspective: evidence for preindustrial Europe (ca. 1300–1800)," Cliometrica, Springer;Cliometric Society (Association Francaise de Cliométrie), vol. 11(3), pages 321-348, September.
    2. Arup Bose & Satya Chakravarty & Conchita D’Ambrosio, 2014. "Richness orderings," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 12(1), pages 5-22, March.
    3. Somnath Chattopadhyay, 2011. "Earnings efficiency and poverty dominance analysis: a spatial approach," Economics Bulletin, AccessEcon, vol. 31(3), pages 2298-2318.
    4. Chakravarty, Satya R. & D'Ambrosio, Conchita, 2013. "An axiomatic approach to the measurement of poverty reduction failure," Economic Modelling, Elsevier, vol. 35(C), pages 874-880.
    5. Vasiliy A. Anikin & Yulia P. Lezhnina & Svetlana V. Mareeva & Ekaterina D. Slobodenyuk & Nataliya N. Tikhonovà, 2016. "Income Stratification: Key Approaches and Their Application to Russia," HSE Working papers WP BRP 02/PSP/2016, National Research University Higher School of Economics.
    6. Durr-e-Nayab, 2011. "Estimating the Middle Class in Pakistan," The Pakistan Development Review, Pakistan Institute of Development Economics, vol. 50(1), pages 1-28.
    7. Mariam Shahzadi & Muhammad Faraz Riaz & Sofia Anwar & Samia Nasreen, 2017. "How unequal is the size of middle class in the rural urban areas of Punjab province," International Journal of Social Economics, Emerald Group Publishing Limited, vol. 44(2), pages 253-266, February.
    8. Cristiano C. Santos & Rosangela H. Loschi, 2017. "Maximum likelihood estimation and parameter interpretation in elliptical mixed logistic regression," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 26(1), pages 209-230, March.
    9. Lidia Ceriani & Paolo Verme, 2014. "The Income Lever and the Allocation of Aid," Journal of Development Studies, Taylor & Francis Journals, vol. 50(11), pages 1510-1522, November.
    10. Aaberge, Rolf & Atkinson, Anthony B. & Sigstad, Henrik, 2015. "Income poverty, affluence and polarisation viewed from the median," LSE Research Online Documents on Economics 103535, London School of Economics and Political Science, LSE Library.
    11. Michal Brzezinski, 2011. "Variance Estimation for Richness Measures," LWS Working papers 11, LIS Cross-National Data Center in Luxembourg.
    12. Rolf Aaberge & A B Atkinson, 2013. "The median as watershed," Discussion Papers 749, Statistics Norway, Research Department.
    13. BILOA ESSIMI, Jean Aristide & CHAMENI NEMBUA, Celestin, 2013. "Estimation D’Une Ligne D’Affluence : Cas Du Cameroun [Affluence Line Estimation: Case Of Cameroon]," MPRA Paper 48095, University Library of Munich, Germany.
    14. Anthony B. Atkinson & Andrea Brandolini, 2011. "On the identification of the “middle class”," Working Papers 217, ECINEQ, Society for the Study of Economic Inequality.
    15. Alejandra Tapia & Victor Leiva & Maria del Pilar Diaz & Viviana Giampaoli, 2019. "Influence diagnostics in mixed effects logistic regression models," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 28(3), pages 920-942, September.
    16. JANSSENS, Jochen & DE CORTE, Annelies & SÖRENSEN, Kenneth, 2016. "Water distribution network design optimisation with respect to reliability," Working Papers 2016007, University of Antwerp, Faculty of Business and Economics.
    17. Raymond Hernandez & Elizabeth A. Pyatak & Cheryl L. P. Vigen & Haomiao Jin & Stefan Schneider & Donna Spruijt-Metz & Shawn C. Roll, 2021. "Understanding Worker Well-Being Relative to High-Workload and Recovery Activities across a Whole Day: Pilot Testing an Ecological Momentary Assessment Technique," IJERPH, MDPI, vol. 18(19), pages 1-17, October.
    18. Christopher Hassall & Michael Nisbet & Evan Norcliffe & He Wang, 2024. "The Potential Health Benefits of Urban Tree Planting Suggested through Immersive Environments," Land, MDPI, vol. 13(3), pages 1-12, February.
    19. Jie Zhao & Ji Chen & Damien Beillouin & Hans Lambers & Yadong Yang & Pete Smith & Zhaohai Zeng & Jørgen E. Olesen & Huadong Zang, 2022. "Global systematic review with meta-analysis reveals yield advantage of legume-based rotations and its drivers," Nature Communications, Nature, vol. 13(1), pages 1-9, December.
    20. Vigvári, Gábor, 2022. "Transzformáció és a populizmus a visegrádi országokban [Transformation and populism in the V4 countries]," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(3), pages 339-366.

    More about this item

    Keywords

    two-level logit model; multilevel modelling; affluence; income; household;
    All these keywords.

    JEL classification:

    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
    • D31 - Microeconomics - - Distribution - - - Personal Income and Wealth Distribution

    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:vrs:eaiada:v:22:y:2018:i:4:p:65-78:n:4. 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: Peter Golla (email available below). General contact details of provider: https://www.sciendo.com .

    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.