IDEAS home Printed from https://ideas.repec.org/a/eee/ecmode/v24y2007i2p350-364.html
   My bibliography  Save this article

Sustainability of US public debt: Estimating smoothing spline regressions

Author

Listed:
  • Greiner, Alfred
  • Kauermann, Goran

Abstract

No abstract is available for this item.

Suggested Citation

  • Greiner, Alfred & Kauermann, Goran, 2007. "Sustainability of US public debt: Estimating smoothing spline regressions," Economic Modelling, Elsevier, vol. 24(2), pages 350-364, March.
  • Handle: RePEc:eee:ecmode:v:24:y:2007:i:2:p:350-364
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0264-9993(06)00105-2
    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. Andrew B. Abel & N. Gregory Mankiw & Lawrence H. Summers & Richard J. Zeckhauser, 1989. "Assessing Dynamic Efficiency: Theory and Evidence," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 56(1), pages 1-19.
    2. S. N. Wood, 2000. "Modelling and smoothing parameter estimation with multiple quadratic penalties," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 62(2), pages 413-428.
    3. Ruppert,David & Wand,M. P. & Carroll,R. J., 2003. "Semiparametric Regression," Cambridge Books, Cambridge University Press, number 9780521785167.
    4. Matthew B. Canzoneri & Robert E. Cumby & Behzad T. Diba, 2001. "Is the Price Level Determined by the Needs of Fiscal Solvency?," American Economic Review, American Economic Association, vol. 91(5), pages 1221-1238, December.
    5. Olivier Jean Blanchard & Stanley Fischer, 1989. "Lectures on Macroeconomics," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262022834, December.
    6. Ruppert,David & Wand,M. P. & Carroll,R. J., 2003. "Semiparametric Regression," Cambridge Books, Cambridge University Press, number 9780521780506.
    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. Campos, Eduardo Lima & Cysne, Rubens Penha, 2017. "A time-varying fiscal reaction function for Brazil," FGV EPGE Economics Working Papers (Ensaios Economicos da EPGE) 795, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil).
    2. Burret, Heiko T. & Feld, Lars P. & Köhler, Ekkehard A., 2016. "(Un-)Sustainability of Public Finances in German Laender: A Panel Time Series Approach," Economic Modelling, Elsevier, vol. 53(C), pages 254-265.
    3. Gordon L. Brady & Cosimo Magazzino, 2018. "Sustainability and comovement of government debt in EMU Countries: A panel data analysis," Southern Economic Journal, John Wiley & Sons, vol. 85(1), pages 189-202, July.
    4. Burret Heiko T. & Köhler Ekkehard A. & Feld Lars P., 2013. "Sustainability of Public Debt in Germany – Historical Considerations and Time Series Evidence," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 233(3), pages 291-335, June.
    5. Magazzino, Cosimo & Brady, Gordon L. & Forte, Francesco, 2019. "A panel data analysis of the fiscal sustainability of G-7 countries," The Journal of Economic Asymmetries, Elsevier, vol. 20(C).
    6. Christos Shiamptanis, 2012. "Risk Assessment Under a Non-linear Fiscal Rule," Working Papers 038, Ryerson University, Department of Economics.
    7. Peter Claeys & Raúl Ramos & Jordi Suriñach, 2008. "Fiscal sustainability across government tiers," International Economics and Economic Policy, Springer, vol. 5(1), pages 139-163, July.
    8. repec:wlu:lcerpa:wm0070 is not listed on IDEAS
    9. Ozer Ozdemir & Memmedaga Memmedli & Akhlitdin Nizamitdinov, 2013. "ANN Models and Bayesian Spline Models for Analysis of Exchange Rates and Gold Price," International Econometric Review (IER), Econometric Research Association, vol. 5(2), pages 53-69, September.
    10. Widłak, Marta & Waszczuk, Joanna & Olszewski, Krzysztof, 2014. "Spatial and hedonic analysis of house price dynamics in Warsaw," MPRA Paper 60479, University Library of Munich, Germany.
    11. Kamiguchi, Akira & Tamai, Toshiki, 2023. "Public investment, national debt, and economic growth: The role of debt finance under dynamic inefficiency," Journal of Macroeconomics, Elsevier, vol. 77(C).
    12. Christos Shiamptanis, 2015. "Risk Assessment Under A Nonlinear Fiscal Policy Rule," Economic Inquiry, Western Economic Association International, vol. 53(3), pages 1539-1555, July.
    13. P.S. Renjith & K.R. Shanmugam, 2018. "Sustainable Debt Policies of Indian State Governments," Margin: The Journal of Applied Economic Research, National Council of Applied Economic Research, vol. 12(2), pages 224-243, May.
    14. Heiko T. Burret & Lars P. Feld & Kö & Ekkehard A. hler, 2014. "Panel Cointegration Tests on the Fiscal Sustainability of German Laender," CESifo Working Paper Series 4929, CESifo.

    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. Greiner, Alfred & Kauermann, Göran, 2008. "Debt policy in euro area countries: Evidence for Germany and Italy using penalized spline smoothing," Economic Modelling, Elsevier, vol. 25(6), pages 1144-1154, November.
    2. Sassire Napo, 2022. "Assessing public debt sustainability under COVID‐19 uncertainty: Evidence from Côte d'Ivoire," African Development Review, African Development Bank, vol. 34(S1), pages 141-160, July.
    3. Longhi, Christian & Musolesi, Antonio & Baumont, Catherine, 2014. "Modeling structural change in the European metropolitan areas during the process of economic integration," Economic Modelling, Elsevier, vol. 37(C), pages 395-407.
    4. Strasak, Alexander M. & Umlauf, Nikolaus & Pfeiffer, Ruth M. & Lang, Stefan, 2011. "Comparing penalized splines and fractional polynomials for flexible modelling of the effects of continuous predictor variables," Computational Statistics & Data Analysis, Elsevier, vol. 55(4), pages 1540-1551, April.
    5. Morteza Amini & Mahdi Roozbeh & Nur Anisah Mohamed, 2024. "Separation of the Linear and Nonlinear Covariates in the Sparse Semi-Parametric Regression Model in the Presence of Outliers," Mathematics, MDPI, vol. 12(2), pages 1-17, January.
    6. Philip T. Reiss & R. Todd Ogden, 2010. "Functional Generalized Linear Models with Images as Predictors," Biometrics, The International Biometric Society, vol. 66(1), pages 61-69, March.
    7. Fincke, Bettina & Greiner, Alfred, 2011. "Do large industrialized economies pursue sustainable debt policies? A comparative study for Japan, Germany and the United States," Japan and the World Economy, Elsevier, vol. 23(3), pages 202-213.
    8. Sylvie Charlot & Riccardo Crescenzi & Antonio Musolesi, 2014. "Augmented and Unconstrained: revisiting the Regional Knowledge Production Function," SEEDS Working Papers 2414, SEEDS, Sustainability Environmental Economics and Dynamics Studies, revised Aug 2014.
    9. Beran, Rudolf, 2014. "Hypercube estimators: Penalized least squares, submodel selection, and numerical stability," Computational Statistics & Data Analysis, Elsevier, vol. 71(C), pages 654-666.
    10. Simon N. Wood, 2020. "Inference and computation with generalized additive models and their extensions," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 29(2), pages 307-339, June.
    11. Silvia Ferrini & Carlo Fezzi, 2012. "Generalized Additive Models for Nonmarket Valuation via Revealed or Stated Preference Methods," Land Economics, University of Wisconsin Press, vol. 88(4), pages 782-802.
    12. Musolesi Antonio & Mazzanti Massimiliano, 2014. "Nonlinearity, heterogeneity and unobserved effects in the carbon dioxide emissions-economic development relation for advanced countries," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 18(5), pages 1-21, December.
    13. Baccini, Michela & Biggeri, Annibale & Lagazio, Corrado & Lertxundi, Aitana & Saez, Marc, 2007. "Parametric and semi-parametric approaches in the analysis of short-term effects of air pollution on health," Computational Statistics & Data Analysis, Elsevier, vol. 51(9), pages 4324-4336, May.
    14. Maik Eisenbeiss & Goran Kauermann & Willi Semmler, 2007. "Estimating Beta-Coefficients of German Stock Data: A Non-Parametric Approach," The European Journal of Finance, Taylor & Francis Journals, vol. 13(6), pages 503-522.
    15. Takuma Yoshida, 2016. "Asymptotics and smoothing parameter selection for penalized spline regression with various loss functions," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 70(4), pages 278-303, November.
    16. Benjamin Owusu & Bettina Bökemeier & Alfred Greiner, 2023. "Assessing nonlinearities and heterogeneity in debt sustainability analysis: a panel spline approach," Empirical Economics, Springer, vol. 64(3), pages 1315-1346, March.
    17. Massimiliano Mazzanti & Antonio Musolesi, 2013. "Nonlinearity, Heterogeneity and Unobserved Effects in the CO2-income Relation for Advanced Countries," Working Papers 2013.91, Fondazione Eni Enrico Mattei.
    18. Brezger, Andreas & Lang, Stefan, 2006. "Generalized structured additive regression based on Bayesian P-splines," Computational Statistics & Data Analysis, Elsevier, vol. 50(4), pages 967-991, February.
    19. Simon N. Wood & Natalya Pya & Benjamin Säfken, 2016. "Smoothing Parameter and Model Selection for General Smooth Models," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 111(516), pages 1548-1563, October.
    20. Belitz, Christiane & Lang, Stefan, 2008. "Simultaneous selection of variables and smoothing parameters in structured additive regression models," Computational Statistics & Data Analysis, Elsevier, vol. 53(1), pages 61-81, September.

    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:ecmode:v:24:y:2007:i:2:p:350-364. 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/inca/30411 .

    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.