IDEAS home Printed from https://ideas.repec.org/a/eee/regeco/v34y2004i4p429-453.html
   My bibliography  Save this article

Determinants of local public school expenditure: a dynamic panel data model

Author

Listed:
  • Heinesen, Eskil

Abstract

No abstract is available for this item.

Suggested Citation

  • Heinesen, Eskil, 2004. "Determinants of local public school expenditure: a dynamic panel data model," Regional Science and Urban Economics, Elsevier, vol. 34(4), pages 429-453, July.
    • Handle: RePEc:eee:regeco:v:34:y:2004:i:4:p:429-453
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0166-0462(03)00069-3
    Download Restriction: Full text for ScienceDirect subscribers only
    ---><---

    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. Alan B. Krueger, 1999. "Experimental Estimates of Education Production Functions," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 114(2), pages 497-532.
    2. repec:fth:prinin:357 is not listed on IDEAS
    3. Arellano, Manuel & Bover, Olympia, 1995. "Another look at the instrumental variable estimation of error-components models," Journal of Econometrics, Elsevier, vol. 68(1), pages 29-51, July.
    4. Steven Craig & Robert P. Inman, 1986. "Education, Welfare and the "New" Federalism: State Budgeting in a Federalist Public Economy," NBER Chapters, in: Studies in State and Local Public Finance, pages 187-228, National Bureau of Economic Research, Inc.
    5. Blundell, Richard & Bond, Stephen, 1998. "Initial conditions and moment restrictions in dynamic panel data models," Journal of Econometrics, Elsevier, vol. 87(1), pages 115-143, August.
    6. Taylor, Jim & Bradley, Steve, 2000. "Resource Utilization and Economies of Size in Secondary Schools," Bulletin of Economic Research, Wiley Blackwell, vol. 52(2), pages 123-150, April.
    7. Rubinfeld, Daniel L., 1987. "The economics of the local public sector," Handbook of Public Economics, in: A. J. Auerbach & M. Feldstein (ed.), Handbook of Public Economics, edition 1, volume 2, chapter 11, pages 571-645, Elsevier.
    8. David Card & Alan Krueger, 1996. "Labor Market Effects of School Quality: Theory and Evidence," Working Papers 736, Princeton University, Department of Economics, Industrial Relations Section..
    9. Krueger, Alan B & Whitmore, Diane M, 2001. "The Effect of Attending a Small Class in the Early Grades on College-Test Taking and Middle School Test Results: Evidence from Project STAR," Economic Journal, Royal Economic Society, vol. 111(468), pages 1-28, January.
    10. Falch, Torberg & Rattso, Jorn, 1999. "Local public choice of school spending: disaggregating the demand function for educational services," Economics of Education Review, Elsevier, vol. 18(3), pages 361-373, June.
    11. Pommerehne, Werner W., 1978. "Institutional approaches to public expenditure : Empirical evidence from Swiss municipalities," Journal of Public Economics, Elsevier, vol. 9(2), pages 255-280, April.
    12. Elchanan Cohn, 1968. "Economies of Scale in Iowa High School Operations," Journal of Human Resources, University of Wisconsin Press, vol. 3(4), pages 422-434.
    13. Kiviet, Jan F., 1995. "On bias, inconsistency, and efficiency of various estimators in dynamic panel data models," Journal of Econometrics, Elsevier, vol. 68(1), pages 53-78, July.
    14. Hanushek, Eric A, 1992. "The Trade-Off between Child Quantity and Quality," Journal of Political Economy, University of Chicago Press, vol. 100(1), pages 84-117, February.
    15. Hanushek, Eric A, 1986. "The Economics of Schooling: Production and Efficiency in Public Schools," Journal of Economic Literature, American Economic Association, vol. 24(3), pages 1141-1177, September.
    16. David Card & Alan B. Krueger, 1996. "Labor Market Effects of School Quality: Theory and Evidence," NBER Working Papers 5450, National Bureau of Economic Research, Inc.
    17. Eric A. Hanushek, 2003. "The Failure of Input-Based Schooling Policies," Economic Journal, Royal Economic Society, vol. 113(485), pages 64-98, February.
    18. Goldhaber, Dan, 1999. "An Endogenous Model of Public School Expenditures and Private School Enrollment," Journal of Urban Economics, Elsevier, vol. 46(1), pages 106-128, July.
    19. Romer, Thomas & Rosenthal, Howard & Munley, Vincent G., 1992. "Economic incentives and political institutions: Spending and voting in school budget referenda," Journal of Public Economics, Elsevier, vol. 49(1), pages 1-33, October.
    20. Rubinfeld, Daniel L & Shapiro, Perry & Roberts, Judith, 1987. "Tiebout Bias and the Demand for Local Public Schooling," The Review of Economics and Statistics, MIT Press, vol. 69(3), pages 426-437, August.
    21. Manuel Arellano & Stephen Bond, 1991. "Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 58(2), pages 277-297.
    22. Joshua D. Angrist & Victor Lavy, 1999. "Using Maimonides' Rule to Estimate the Effect of Class Size on Scholastic Achievement," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 114(2), pages 533-575.
    23. James R. Hines & Richard H. Thaler, 1995. "The Flypaper Effect," Journal of Economic Perspectives, American Economic Association, vol. 9(4), pages 217-226, Fall.
    24. Anderson, T. W. & Hsiao, Cheng, 1982. "Formulation and estimation of dynamic models using panel data," Journal of Econometrics, Elsevier, vol. 18(1), pages 47-82, January.
    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. Kopańska Agnieszka, 2018. "Partial Fiscal Decentralization and Local Government Spending Policy," Financial Internet Quarterly (formerly e-Finanse), Sciendo, vol. 14(3), pages 21-31, September.
    2. Simona Ferraro & Tommaso Agasisti & Francesco Porcelli & Mara Soncin, 2021. "Local governments’ efficiency and educational results: empirical evidence from Italian primary schools," Applied Economics, Taylor & Francis Journals, vol. 53(35), pages 4017-4039, July.
    3. Basri Saliu, 2017. "The Use and Functions of Mother Tongue in EFL Classes at the Language Center of South East European University in Tetovo-Macedonia," European Journal of Multidisciplinary Studies Articles, Revistia Research and Publishing, vol. 2, ejms_v2_i.
    4. Kopańska Agnieszka, 2018. "The determinants of local public spending on culture," Central European Economic Journal, Sciendo, vol. 5(52), pages 67-80, January.
    5. Monojit Chatterji & Sushil Mohan & Sayantan Ghosh Dastidar, 2015. "Determinants of public education expenditure: evidence from Indian states," International Journal of Education Economics and Development, Inderscience Enterprises Ltd, vol. 6(1), pages 1-19.
    6. Heinesen, Eskil, 2005. "School district size and student educational attainment: evidence from Denmark," Economics of Education Review, Elsevier, vol. 24(6), pages 677-689, December.
    7. Andrzej Kwiatkowski, 2013. "Education investment effects of affirmative action policy. Contest game argument," Dundee Discussion Papers in Economics 279, Economic Studies, University of Dundee.
    8. Niklas Potrafke, 2006. "Parties Matter in Allocating Expenditures: Evidence from Germany," Discussion Papers of DIW Berlin 652, DIW Berlin, German Institute for Economic Research.
    9. Agnieszka Kopańska, 2016. "Partial decentralization and its influence on local governments’ spending policy. An analysis of spending for teachers and other resources needed for schools," Working Papers 2016-38, Faculty of Economic Sciences, University of Warsaw.
    10. Brosio, Giorgio & Zanola, Roberto, 2006. "Can violence be rational? An empirical analysis of Colombia," POLIS Working Papers 74, Institute of Public Policy and Public Choice - POLIS.
    11. Eskil Heinesen & Brian Krogh Graversen, 2005. "The effect of school resources on educational attainment: evidence from Denmark," Bulletin of Economic Research, Wiley Blackwell, vol. 57(2), pages 109-143, April.

    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. Abonazel, Mohamed R., 2016. "Bias Correction Methods for Dynamic Panel Data Models with Fixed Effects," MPRA Paper 70628, University Library of Munich, Germany.
    2. Bun, Maurice J.G. & Kiviet, Jan F., 2006. "The effects of dynamic feedbacks on LS and MM estimator accuracy in panel data models," Journal of Econometrics, Elsevier, vol. 132(2), pages 409-444, June.
    3. Maurice J.G. Bun & Sarafidis, V., 2013. "Dynamic Panel Data Models," UvA-Econometrics Working Papers 13-01, Universiteit van Amsterdam, Dept. of Econometrics.
    4. Martin A. Carree, 2002. "Nearly Unbiased Estimation in Dynamic Panel Data Models with Exogenous Variables," Tinbergen Institute Discussion Papers 02-007/2, Tinbergen Institute.
    5. Muharrem Yeşilırmak, 2018. "Decreasing average cost in private schools, existence of majority voting equilibrium, and a policy analysis for Turkey," Review of Economic Design, Springer;Society for Economic Design, vol. 22(1), pages 1-24, June.
    6. Hughes Hallett, Andrew & Bernoth, Kerstin & Lewis, John, 2008. "Did Fiscal Policy Makers Know What They Were Doing? Reassessing Fiscal Policy with Real Time Data," CEPR Discussion Papers 6758, C.E.P.R. Discussion Papers.
    7. Predrag Bjelić & Danijela Jaćimović & Ivan Tašić, 2013. "Effects Of The World Economic Crisis On Exports In The Ceec: Focus On The Western Balkans," Economic Annals, Faculty of Economics and Business, University of Belgrade, vol. 58(196), pages 71-98, January –.
    8. Andrés Rodríguez‐Pose & Vassilis Tselios, 2009. "Education And Income Inequality In The Regions Of The European Union," Journal of Regional Science, Wiley Blackwell, vol. 49(3), pages 411-437, August.
    9. Alexander Chudik & M. Hashem Pesaran, 2017. "A Bias-Corrected Method of Moments Approach to Estimation of Dynamic Short-T Panels," CESifo Working Paper Series 6688, CESifo.
    10. Kripfganz, Sebastian, 2014. "Unconditional Transformed Likelihood Estimation of Time-Space Dynamic Panel Data Models," VfS Annual Conference 2014 (Hamburg): Evidence-based Economic Policy 100604, Verein für Socialpolitik / German Economic Association.
    11. Paula Salinas & Albert Solé-Ollé, 2009. "Evaluating the effects of decentralization on educational outcomes in Spain," Working Papers 2009/10, Institut d'Economia de Barcelona (IEB).
    12. Athanasoglou, Panayiotis P. & Brissimis, Sophocles N. & Delis, Matthaios D., 2008. "Bank-specific, industry-specific and macroeconomic determinants of bank profitability," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 18(2), pages 121-136, April.
    13. Biørn, Erik, 2012. "The Measurement Error Problem in Dynamic Panel Data Analysis: Modeling and GMM Estimation," Memorandum 02/2012, Oslo University, Department of Economics.
    14. Margaret Stevens & Kathryn Graddy, 2003. "The Impact of School Inputs on Student Performance: An Empirical Study of Private Schools in the United Kingdom," Economics Series Working Papers 146, University of Oxford, Department of Economics.
    15. Jan F. Kiviet, 2005. "Judging Contending Estimators by Simulation: Tournaments in Dynamic Panel Data Models," Tinbergen Institute Discussion Papers 05-112/4, Tinbergen Institute.
    16. Ammermuller, Andreas & Heijke, Hans & Wo[ss]mann, Ludger, 2005. "Schooling quality in Eastern Europe: Educational production during transition," Economics of Education Review, Elsevier, vol. 24(5), pages 579-599, October.
    17. Jochimsen, Beate & Nuscheler, Robert, 2005. "The Political Economy of the German Länder Deficits," Discussion Papers 2005/6, Free University Berlin, School of Business & Economics.
    18. Florian Pelgrin & Arnaud Sylvain & Eric Heyer, 2004. "Capital operating time and working time in the production function : an evaluation on a panel firms over the period 1989-2001," SciencePo Working papers Main hal-00972838, HAL.
    19. Jean-Louis ARCAND & Béatrice D'HOMBRES, 2002. "Explaining the Negative Coefficient Associated with Human Capital in Augmented Solow Growth Regressions," Working Papers 200227, CERDI.
    20. G. Everaert, 2009. "Using Backward Means to Eliminate Individual Effects from Dynamic Panels," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 09/553, Ghent University, Faculty of Economics and Business Administration.

    More about this item

    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:eee:regeco:v:34:y:2004:i:4:p:429-453. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/regec .

    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.