IDEAS home Printed from https://ideas.repec.org/a/bla/annpce/v75y2004i2p227-263.html
   My bibliography  Save this article

Is the Government Failure Theory Still Relevant? A panel analysis using US state level data

Author

Listed:
  • Yoshiho Matsunaga
  • Naoto Yamauchi

Abstract

The purpose of this paper is to empirically examine the robustness of the government failure theory. A core feature of the government failure theory is demand heterogeneity. Previous studies have brought into question the robustness of the government failure theory, due to inconsistent results concerning the explanatory power of demand heterogeneity. Therefore, in this paper we revisit this important research agenda using US state level panel data. We find the two‐way fixed effects model a suitable model for testing the government failure theory's robustness and present findings which indicate that observable demand heterogeneity has a positive effect on the size of the nonprofit sector. This paper also empirically examines the relevance of the complementary financing hypothesis in terms of the cooperative nature of the governmental and nonprofit sector relationship; that is where governments delegate the production of quasi‐public goods to the nonprofit sector.

Suggested Citation

  • Yoshiho Matsunaga & Naoto Yamauchi, 2004. "Is the Government Failure Theory Still Relevant? A panel analysis using US state level data," Annals of Public and Cooperative Economics, Wiley Blackwell, vol. 75(2), pages 227-263, June.
  • Handle: RePEc:bla:annpce:v:75:y:2004:i:2:p:227-263
    DOI: 10.1111/j.1467-8292.2004.00251.x
    as

    Download full text from publisher

    File URL: https://doi.org/10.1111/j.1467-8292.2004.00251.x
    Download Restriction: no

    File URL: https://libkey.io/10.1111/j.1467-8292.2004.00251.x?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. Avner BEN-NER & Theresa VAN HOOMISSEN, 1991. "Nonprofit Organizations In The Mixed Economy," Annals of Public and Cooperative Economics, Wiley Blackwell, vol. 62(4), pages 519-550, October.
    2. Kanika Kapur & Burton A. Weisbrod, 2000. "The Roles of Government and Nonprofit Suppliers in Mixed Industries," Public Finance Review, , vol. 28(4), pages 275-308, July.
    3. Douglas Staiger & James H. Stock, 1997. "Instrumental Variables Regression with Weak Instruments," Econometrica, Econometric Society, vol. 65(3), pages 557-586, May.
    4. Moulton, Brent R, 1987. "Diagnostics for Group Effects in Regression Analysis," Journal of Business & Economic Statistics, American Statistical Association, vol. 5(2), pages 275-282, April.
    5. Moulton, Brent R., 1986. "Random group effects and the precision of regression estimates," Journal of Econometrics, Elsevier, vol. 32(3), pages 385-397, August.
    6. Carmen Marcuello, 1998. "Determinants of the Non-profit Sector Size: An Empirical Analysis in Spain," Annals of Public and Cooperative Economics, Wiley Blackwell, vol. 69(2), pages 175-192, June.
    7. Richard G. Frank & David S. Salkever, 1994. "Nonprofit Organizations in the Health Sector," Journal of Economic Perspectives, American Economic Association, vol. 8(4), pages 129-144, Fall.
    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. Zhiming Liu & Haiwei Jia, 2022. "What Drives the Development and Sustainable Growth of Cultural Nonprofits—Chinese Province-Level Evidence," Sustainability, MDPI, vol. 14(9), pages 1-17, April.
    2. Antonio PICCIOTTI & Andrea BERNARDONI & Massimo COSSIGNANI & Luca FERRUCCI, 2014. "Social Cooperatives In Italy: Economic Antecedents And Regional Distribution," Annals of Public and Cooperative Economics, Wiley Blackwell, vol. 85(2), pages 213-231, June.
    3. Ashley Shena, 2014. "The Impact of Government Funding on Competition in the Nonprofit Sector: An Integrative Model and Review of Empirical Research," Nonprofit Policy Forum, De Gruyter, vol. 5(2), pages 289-305, October.
    4. Beaton Erynn & Hwang Hyunseok, 2017. "Increasing the Size of the Pie: The Impact of Crowding on Nonprofit Sector Resources," Nonprofit Policy Forum, De Gruyter, vol. 8(3), pages 211-235, September.
    5. Searing Elizabeth A. M., 2014. "Charitable (Anti)Trust: The Role of Antitrust Regulation in the Nonprofit Sector," Nonprofit Policy Forum, De Gruyter, vol. 5(2), pages 261-288, October.
    6. Avner Ben-Ner, 2006. "For-Profit, State and Non-Profit: How to Cut the Pie Among the Three Sectors," Chapters, in: Jean-Philippe Touffut (ed.), Advancing Public Goods, chapter 2, Edward Elgar Publishing.
    7. HyungGun Park, 2023. "Testing a relationship between special districts and nonprofits: Do they substitute or complement?," Social Science Quarterly, Southwestern Social Science Association, vol. 104(4), pages 423-435, July.
    8. Ashlyn Aiko Nelson & Beth Gazley, 2014. "The Rise of School-Supporting Nonprofits," Education Finance and Policy, MIT Press, vol. 9(4), pages 541-566, October.
    9. Barbetta Gian Paolo & Canino Paolo & Cima Stefano & Verrecchia Flavio, 2018. "Entry and Exit of Nonprofit Organizations: National, Sectorial, and Geographic Trends with Italian Census Data," Nonprofit Policy Forum, De Gruyter, vol. 9(2), pages 1-12, June.
    10. Joseph T. Campbell & Linda M. Lobao & Michael R. Betz, 2017. "Collaborative Counties: Questioning the Role of Civil Society," Economic Development Quarterly, , vol. 31(3), pages 228-243, August.
    11. Giorgia Trasciani & Giovanni Esposito & Francesca Petrella & Vincenzo Alfano & Giuseppe Lucio Gaeta, 2024. "The institutional shaping of third sector organizations: Empirical evidence from Italian provinces," Annals of Public and Cooperative Economics, Wiley Blackwell, vol. 95(1), pages 153-176, March.
    12. Kunal Y. Sevak & LaKami Baker, 2022. "Need‐resource indicators and nonprofit human services organization density," Annals of Public and Cooperative Economics, Wiley Blackwell, vol. 93(1), pages 129-160, March.

    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. Barrow, Lisa & Rouse, Cecilia Elena, 2004. "Using market valuation to assess public school spending," Journal of Public Economics, Elsevier, vol. 88(9-10), pages 1747-1769, August.
    2. Blanchflower, David G., 2000. "Self-employment in OECD countries," Labour Economics, Elsevier, vol. 7(5), pages 471-505, September.
    3. Pindado, Julio & Rodrigues, Luis & de la Torre, Chabela, 2008. "How do insolvency codes affect a firm's investment?," International Review of Law and Economics, Elsevier, vol. 28(4), pages 227-238, December.
    4. Edmundo Murrugarra & Martín Valdivia, 2000. "Morbilidad autoreportada y los retornos a la salud para los varones urbanos en el Perú: enfermedad vs. Incapacidad," Otras investigaciones, Consorcio de Investigación Económica y Social.
    5. Piero Cipollone & Alfonso Rosolia, 2011. "Schooling and youth mortality: learning from a mass military exemption," Temi di discussione (Economic working papers) 811, Bank of Italy, Economic Research and International Relations Area.
    6. Héricourt, Jérôme & Poncet, Sandra, 2009. "FDI and credit constraints: Firm-level evidence from China," Economic Systems, Elsevier, vol. 33(1), pages 1-21, March.
    7. Per G. Fredriksson & Khawaja A. Mamun, 2014. "Tobacco Politics and Electoral Accountability in the United States," Public Finance Review, , vol. 42(1), pages 4-34, January.
    8. François Gardes, 2021. "Biases on variances estimated on large data-sets," Documents de travail du Centre d'Economie de la Sorbonne 21022, Université Panthéon-Sorbonne (Paris 1), Centre d'Economie de la Sorbonne.
    9. Ammermueller, Andreas & Kuckulenz, Anja & Zwick, Thomas, 2009. "Aggregate unemployment decreases individual returns to education," Economics of Education Review, Elsevier, vol. 28(2), pages 217-226, April.
    10. Christopher F Baum & Mark E. Schaffer & Steven Stillman, 2003. "Instrumental variables and GMM: Estimation and testing," Stata Journal, StataCorp LLC, vol. 3(1), pages 1-31, March.
    11. Zhi Li & Chengri Ding & Yi Niu, 2019. "Industrial structure and urban agglomeration: evidence from Chinese cities," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 63(1), pages 191-218, August.
    12. Marcelo Moreira & Geert Ridder, 2019. "Efficiency loss of asymptotically efficient tests in an instrumental variables regression," CeMMAP working papers CWP03/19, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    13. Abdurrahman Aydemir & Murat G. Kirdar, 2017. "Low Wage Returns to Schooling in a Developing Country: Evidence from a Major Policy Reform in Turkey," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 79(6), pages 1046-1086, December.
    14. Baumgarten, Daniel & Geishecker, Ingo & Görg, Holger, 2013. "Offshoring, tasks, and the skill-wage pattern," European Economic Review, Elsevier, vol. 61(C), pages 132-152.
    15. Etienne Wasmer, 2004. "The Economics of Prozac (Do Employees Really Gain from Employment Protection?)," Working Papers hal-01065471, HAL.
    16. MacKinnon, James G., 2023. "Fast cluster bootstrap methods for linear regression models," Econometrics and Statistics, Elsevier, vol. 26(C), pages 52-71.
    17. Harrison, David M., 2001. "The Importance of Lender Heterogeneity in Mortgage Lending," Journal of Urban Economics, Elsevier, vol. 49(2), pages 285-309, March.
    18. Elhorst, J. Paul & Madre, Jean-Loup & Pirotte, Alain, 2020. "Car traffic, habit persistence, cross-sectional dependence, and spatial heterogeneity: New insights using French departmental data," Transportation Research Part A: Policy and Practice, Elsevier, vol. 132(C), pages 614-632.
    19. Blanchflower, David G & Oswald, Andrew J, 1994. "Estimating a Wage Curve for Britain: 1973-90," Economic Journal, Royal Economic Society, vol. 104(426), pages 1025-1043, September.
    20. Alejo, Javier & Montes-Rojas, Gabriel & Sosa-Escudero, Walter, 2018. "Testing for serial correlation in hierarchical linear models," Journal of Multivariate Analysis, Elsevier, vol. 165(C), pages 101-116.

    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:bla:annpce:v:75:y:2004:i:2:p:227-263. 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: Wiley Content Delivery (email available below). General contact details of provider: http://www.blackwellpublishing.com/journal.asp?ref=1370-4788 .

    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.