Cargando…
Estimating Demand for IMF Financing by Low-Income Countries in Response to Shocks.
This paper estimates factors affecting demand for Fund financing by Low-Income Countries (LICs) in response to policy and exogenous shocks. Various economic variables including reserve coverage, current account balance to GDP, real GDP growth, macroeconomic stability, and terms of trade shocks are f...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Washington :
International Monetary Fund,
2009.
|
| Colección: | IMF Working Papers.
|
| Temas: | |
| Acceso en línea: | Texto completo |
Tabla de Contenidos:
- Cover Page; Title Page; Copyright Page; Contents; Appendices; I. Introduction; II. Literature Review; III. Stylized Facts on LIC Landscape and Fund Financing; 1. Fund Financing to LICs for Policy and/or Exogenous Shocks (1980-2008); 2. Low Income Countries: Selected Economic Indicators (1980-2007); IV. Potential Economic Determinants of Participation in IMF Arrangements; Box 1. Why A Composite Indicator for Macroeconomic Stability?; V. Methodology; A. Identification of the Dependent Variable: Approval of IMF Arrangements; B. Econometric Specification; VI. Results.
- A. Estimation Results: Benchmark Specifications1. Estimation Results: Demand for the Fund Financing in Response to Shocks; 3. Distribution of Reserve Coverage in the Sample Prior to Financing Events versus Normal Episodes: CFA versus Non-CFA Countries; B. Goodness of Fit; 2. Predicted Probabilities (Percentiles); C. The Threshold Probability Analysis; 4. Threshold Probability Analysis; D. Effects of Explanatory Variables on the Probability of Financing Events; 3. Values of Explanatory Variables in Counterfactual Simulations.
- 5. Model I: Counterfactual Simulations-Effects of Explanatory Variables on the Probability of Fund Financing6. Model II: Counterfactual Simulations-Effects of Explanatory Variables on the Probability of Fund Financing; VII. Robustness Checks; A. Logit versus Probit Model; 7. Comparison of Predicted Probabilities: Probit versus Logit Estimates; B. Alternative Probit Estimators for the Country Specific Heterogeneity; C. Is There a Persistence Caused by Previous Fund Programs?; D. Natural Disasters: Why Omitted from the Financing Events?; 4. Financing for Natural Disasters: Estimation Results.
- E. The Effect of Export Concentration: Non-oil Commodities5. The Effect of Export Concentration: Non-oil Commodities; F. Fund Financing to CFA versus Non-CFA Countries; 6. Model I: The Fund Financing to Non-CFA Countries; VIII. Concluding Remarks; Appendices I. Data; A1. Country List: Estimation Sample; A2. Model I Policy and Exogenous Shocks: Estimation Results for Alternative Specifications; A3. Model II Exogenous Shocks: Estimation Results for Alternative Specifications; A4. Model I Policy and Exogenous Shocks: Comparison of Alternative Estimators and Average Partial Effects.
- A5. Model II Exogenous Shocks: Comparison of Alternative Estimators and Average Partial EffectsA6. Effect of Previous Fund Engagement; References; Footnotes.