PL EN


Preferencje help
Widoczny [Schowaj] Abstrakt
Liczba wyników
Czasopismo
2018 | 14 | nr 3 | 76--86
Tytuł artykułu

Determinants of Public Indebtedness in European Union Countries

Autorzy
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
The paper strives to determine the impact of fiscal variables on factors determining the dynamics of public debt in European Union countries. Based on the literature, the dynamics of public debt are determined by changes of three elements: the primary balance, interest-rate-growth-differential and the change of government assets. Therefore, it seems reasonable to estimate the dynamics of these three values to find the variables crucial for limiting the growth of public debt. Three groups of dynamic panel regressions were estimated based on the one-step Generalized Method of Moments. The data was collected for the 1995-2015 period for 27 EU countries. Dependent variables included: primary balance, interest-rate-growth-differential and change of government assets. Independent variables consisted of: interest payable to GDP ratio, unemployment rate, squared unemployment rate, FDI stock to GDP, net FDI inflow to GDP, general government expenditures to GDP, share of social security expenditures and openness of the economy measured by the ratio of export and import to GDP. On the basis of statistical data, three components of debt changes were distinguished, and estimations of the dynamic panel regressions were applied to find the impact of independent variables. According to the basic models, the primary balance is lower for: countries with higher unemployment, greater FDI stock and higher general government expenditures. The interest-rate-growth-differential is lower in the case of: high subsidies and for a more open economy. However, unemployment and FDI remain the most important determinants of this variable. The change of government's assets ratio decreases as FDI net inflows or the share of expenditures to GDP increase as well as in the case of very high unemployment. (original abstract)
Czasopismo
Rocznik
Tom
14
Numer
Strony
76--86
Opis fizyczny
Twórcy
  • University of Warsaw, Poland
Bibliografia
  • Abbas, A., S., Belhocine, N., El-Ganainy, A. Horton, M., (2011). IMF Economic Review. 59(4), 717-742. Retrieved form: https://doi.org/10.1057/imfer.2011.24.
  • Arellano, M., Bond, S. (1991). Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations. Review of Economic Studies, 58(2), 277-297.
  • Arellano, M., Bover, O. (1995). Another Look at the Instrumental Variable Estimation of Error-components Models. Journal of Econometrics, 68, 29 -51.
  • Baldacci, E., Gupta, S., Mulas-Granados, C. (2012). Reassessing the Fiscal Mix for Successful Debt Reduction. Economic Policy, 27(71), 365-406.
  • Blundell, R., Bond, S. (1998). Initial Conditions and Moment Restrictions in Dynamic Panel Data Models. Journal of Econometrics, 87, 115-143.
  • Bohn, H. (1998). The Behavior of U.asseS. Public Debt and Deficits. The Quarterly Journal of Economics, 113(3), 949-963.
  • Bohn, H. (2007). Are Stationarity and Cointegration Restrictions Really Necessary for the Intertemporal Budget Constraint? Journal of Monetary Economics, 54, 1837-1847.
  • Bond, S. (2002). Dynamic Panel Data Models: A Guide to Micro Data Methods and Practice, Centre for Microdata and Practice (CEMMAP), Working paper CWP09/02. Retrieved from: http://cemmap.ifs.org.uk/wps/cwp0209.pdf.
  • Dańska-Borsiak, B. (2009). Zastosowania panelowych modeli dynamicznych w badaniach mikroekonomicznych i makroekonomicznych. Przegląd Statystyczny, 56(2), 25-41.
  • Escolano, J. (2010). A Practical Guide to Public Debt Dynamics, Fiscal Sustainability, and Cyclical Adjustment of Budgetary Aggregates. Technical Notes and Manuals IMF, Washington DC. No. 2010/02. Retrieved from: https://www.imf.org/ external/pubs/ft/tnm/2010/tnm1002.pdf.
  • Escolano, J., Shabunina, A., Woo, J. (2016). The Puzzle of Persistently Negative Interest-rate-growth-differentials: Financial Repression or Income Catch-up? Fiscal Studies. Retrieved from: https://doi.org/10.1111/1475-5890.12103.
  • Eurostat. (2017). Database, Retrieved from: http://ec.europa.eu/eurostat/data/database.
  • Kumar, M.S., Woo, J. (2014). The Relationship Between Debt Levels and Growth. In C. Cotarelli, P. Gerson, A. Senhadji (Eds.), Post-Crisis Fiscal Policy, (pp. 97-125). London: MIT Press.
  • Mauro, P., Romeu, R., Binder, A., Zaman, A., (2015). A Modern History of Fiscal Prudence and Profligacy. Journal of Monetary Economics, 76(1), 55-70.
  • Ncube, M., Brixiova, Z. (2015). Public Debt Sustainability in Africa: Building Resilience and Challenges Ahead. Development Policy Review, 33(5),555-580.
  • Windmeijer, F. (2005). A Finite Sample Correction for the Variance of Linear Efficient Two-step GMM Estimators. Journal of Econometrics, 126, 25-51.
  • Zeng, Li. (2014). Determinants of Primary Fiscal Balance. In C. Cotarelli, P. Gerson, A. Senhadji (Eds.), Post-Crisis Fiscal Policy, (pp. 67-96). London: MIT Press.
Typ dokumentu
Bibliografia
Identyfikatory
Identyfikator YADDA
bwmeta1.element.ekon-element-000171556669

Zgłoszenie zostało wysłane

Zgłoszenie zostało wysłane

Musisz być zalogowany aby pisać komentarze.
JavaScript jest wyłączony w Twojej przeglądarce internetowej. Włącz go, a następnie odśwież stronę, aby móc w pełni z niej korzystać.