IDEAS home Printed from https://ideas.repec.org/p/ssb/dispap/191.html
   My bibliography  Save this paper

Primary Schooling in Zambia Squeezed at Community and Household Level

Author

Listed:

Abstract

A part of the current economic reform program in Zambia, is to increase standard, efficiency and equity in the primary school sector. This paper studies primary school attendance. A logistic regression analysis is used to show that community level and household level variables affect the likelihood of attending primary school for children between seven and thirteen years of age. A number of community level variables have a significant effect and are also interesting from a policy point of view. Household level variables have even stronger effects. A policy conclusion: There is a need to introduce a widespread scholarship program to ensure equity and efficiency. A scientific conclusion: A multilevel analysis contributes additional insights. A final policy conclusion: There is a need to introduce a widespread scholarship program to ensure equity and efficiency. A final scientific conclusion: A a dedicated multilevel analysis might yield additional insights.

Suggested Citation

  • Liv Belsby & Bjørn K. Wold, 1997. "Primary Schooling in Zambia Squeezed at Community and Household Level," Discussion Papers 191, Statistics Norway, Research Department.
  • Handle: RePEc:ssb:dispap:191
    as

    Download full text from publisher

    File URL: https://www.ssb.no/a/publikasjoner/pdf/DP/dp_191.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Klette, Tor Jakob & Griliches, Zvi, 2000. "Empirical Patterns of Firm Growth and R&D Investment: A Quality Ladder Model Interpretation," Economic Journal, Royal Economic Society, vol. 110(463), pages 363-387, April.
    2. Klette, Tor Jakob & Griliches, Zvi, 1996. "The Inconsistency of Common Scale Estimators When Output Prices Are Unobserved and Endogenous," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 11(4), pages 343-361, July-Aug..
    3. Dag G. Wetterwald, 1994. "Car Ownership and Private Car Use A Microeconometric Analysis Based on Norwegian Data," Discussion Papers 113, Statistics Norway, Research Department.
    4. Margaret J. Simpson, 1994. "Foreign Control and Norwegian Manufacturing Performance," Discussion Papers 111, Statistics Norway, Research Department.
    5. Knut Einar Rosendahl, 1994. "Does Improved Environmental Policy Enhance Economic Growth? Endogenous Growth Theory Applied to Developing Countries," Discussion Papers 114, Statistics Norway, Research Department.
    6. Tor Jakob Klette, 1994. "R&D, Scope Economies and Company Structure: A "Not-so-Fixed Effect" Model of Plant Performance," Discussion Papers 120, Statistics Norway, Research Department.
    7. Tor Jakob Klette, 1994. "Estimating Price- Cost Margins and Scale Economies from a Panel of Microdata," Discussion Papers 130, Statistics Norway, Research Department.
    8. Yngve Willassen & Tor Jakob Klette, 1994. "Correlated Measurement Errors, Bounds on Parameters, and a Model of Producer Behavior," Discussion Papers 112, Statistics Norway, Research Department.
    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. Anders Rygh Swensen, 1997. "Change in Regime and Markov Models," Discussion Papers 204, Statistics Norway, Research Department.
    2. Zvi Griliches, 1998. "R&D and productivity: the unfinished business," Estudios de Economia, University of Chile, Department of Economics, vol. 25(2 Year 19), pages 145-160, December.
    3. Hall, Bronwyn H. & Mairesse, Jacques & Mohnen, Pierre, 2010. "Measuring the Returns to R&D," Handbook of the Economics of Innovation, in: Bronwyn H. Hall & Nathan Rosenberg (ed.), Handbook of the Economics of Innovation, edition 1, volume 2, chapter 0, pages 1033-1082, Elsevier.
    4. Dietmar Harhoff, 1998. "R&D and Productivity in German Manufacturing Firms," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 6(1), pages 29-50.
    5. Møen, Jarle, 2018. "Corporate returns to subsidized R&D projects: Direct grants vs tax credit financing," Discussion Papers 2018/9, Norwegian School of Economics, Department of Business and Management Science.
    6. Zvi Griliches & Jacques Mairesse, 1995. "Production Functions: The Search for Identification," Harvard Institute of Economic Research Working Papers 1719, Harvard - Institute of Economic Research.
    7. Tor Jakob Klette, 1999. "Market Power, Scale Economies and Productivity: Estimates from a Panel of Establishment Data," Journal of Industrial Economics, Wiley Blackwell, vol. 47(4), pages 451-476, December.
    8. Carstensen, Vivian, 2003. "Ein einfaches Verfahren zur Berücksichtigung heterogener Preisbildung und Marktmacht auf unvollkommenen Gütermärkten in Produktivitätsschätzungen," Hannover Economic Papers (HEP) dp-273, Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät.
    9. Ensar Yılmaz & Zeynep Kaplan, 2022. "Heterogeneity of market power: firm-level evidence," Economic Change and Restructuring, Springer, vol. 55(2), pages 1207-1228, May.
    10. Ornaghi, Carmine, 2008. "Price deflators and the estimation of the production function," Economics Letters, Elsevier, vol. 99(1), pages 168-171, April.
    11. Andrew B. Bernard & Jonathan Eaton & J. Bradford Jensen & Samuel Kortum, 2003. "Plants and Productivity in International Trade," American Economic Review, American Economic Association, vol. 93(4), pages 1268-1290, September.
    12. Catherine Fuss & Angelos Theodorakopoulos, 2018. "Compositional Changes in Aggregate Productivity in an Era of Globalisation and Financial Crisis," Working Papers of VIVES - Research Centre for Regional Economics 627696, KU Leuven, Faculty of Economics and Business (FEB), VIVES - Research Centre for Regional Economics.
    13. Jacques Mairesse & Rozenn Desplatz, 2003. "Econométrie de la production sur données de panel et dispersion des prix de production quels biais d'estimation ?," Revue d'économie politique, Dalloz, vol. 113(6), pages 749-772.
    14. Francesco Serti & Chiara Tomasi, 2008. "Self-Selection and Post-Entry Effects of Exports: Evidence from Italian Manufacturing Firms," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 144(4), pages 660-694, December.
    15. Alejandro García-Pozo & Juan Antonio Campos-Soria & J. Aníbal Núñez-Carrasco, 2021. "Technological innovation and productivity across Spanish regions," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 67(1), pages 167-187, August.
    16. Massimo Del Gatto & Gianmarco I. P. Ottaviano & Marcello Pagnini, 2008. "Openness To Trade And Industry Cost Dispersion: Evidence From A Panel Of Italian Firms," Journal of Regional Science, Wiley Blackwell, vol. 48(1), pages 97-129, February.
    17. Alex Coad & Agustí Segarra-Blasco & Mercedes Teruel, 2021. "A bit of basic, a bit of applied? R&D strategies and firm performance," The Journal of Technology Transfer, Springer, vol. 46(6), pages 1758-1783, December.
    18. Wu, Mingran & Zhao, Min & Wu, Zhaodan, 2019. "Evaluation of development level and economic contribution ratio of science and technology innovation in eastern China," Technology in Society, Elsevier, vol. 59(C).
    19. Ornaghi, Carmine, 2006. "Spillovers in product and process innovation: Evidence from manufacturing firms," International Journal of Industrial Organization, Elsevier, vol. 24(2), pages 349-380, March.
    20. Umut Kılınç, 2018. "Assessing Productivity Gains from International Trade in a Small Open Economy," Open Economies Review, Springer, vol. 29(5), pages 953-980, November.

    More about this item

    Keywords

    Primary school attendance; Zambia; logistic regression model; community level; household level;
    All these keywords.

    JEL classification:

    • C35 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions
    • I21 - Health, Education, and Welfare - - Education - - - Analysis of Education
    • O15 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Economic Development: Human Resources; Human Development; Income Distribution; Migration

    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:ssb:dispap:191. 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: L Maasø (email available below). General contact details of provider: https://edirc.repec.org/data/ssbgvno.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.