What is really good for long-term growth? : lessons from a binary classification tree (BCT) approach. / / Rupa Duttagupta and Montfort Mlachila ; authorized for distribution by Martín Cerisola
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| Autore: |
Duttagupta Rupa
|
| Titolo: |
What is really good for long-term growth? : lessons from a binary classification tree (BCT) approach. / / Rupa Duttagupta and Montfort Mlachila ; authorized for distribution by Martín Cerisola
|
| Pubblicazione: | [Washington, District of Columbia] : , : International Monetary Fund, , 2008 |
| ©2008 | |
| Descrizione fisica: | 1 online resource (29 p.) |
| Disciplina: | 338.9 |
| Soggetto topico: | Economic development |
| Economic development - Regional disparities | |
| Soggetto genere / forma: | Electronic books. |
| Altri autori: |
MlachilaMontfort
CerisolaMartin
|
| Note generali: | Description based upon print version of record. |
| Nota di bibliografia: | Includes bibliographical references. |
| Nota di contenuto: | Contents; I. Introduction; II. A Few Notes on the Growth Literature; Tables; 1. Most Significant Variables in Selected Growth Studies; III. The Binary Classification Tree (BCT) Approach; IV. Properties of the Data; 2. Definition of Variables; V. The Results; A. Baseline Model: What is Good for Strong Growth?; Figures; 1. Distribution of Growth; 3. Growth Rate for Top Quartile; 4. What is Really Good for Growth: Ranking of Indicators; 2. Baseline Model; 5. Median Values of Key Indicators in Baseline Model; B. Alternative Specifications and Robustness Checks |
| 3. Out of Sample Forecast (I)-Advanced Economies4. Out of Sample Forecast (II)-Highly Indebted Poor Countries; 6. The Do's and Don'ts of Growth; VI. Concluding Remarks; Appendix; I. Description of the Database; References | |
| Sommario/riassunto: | Although the economic growth literature has come a long way since the Solow-Swan model of the fifties, there is still considerable debate on the ""real' or ""deep"" determinants of growth. This paper revisits the question of what is really important for strong long-term growth by using a Binary Classification Tree approach, a nonparametric statistical technique that is not commonly used in the growth literature. A key strength of the method is that it recognizes that a combination of conditions can be instrumental in leading to a particular outcome, in this case strong growth. The paper finds |
| Titolo autorizzato: | What is really good for long-term growth |
| ISBN: | 1-4623-7798-X |
| 1-4527-8640-2 | |
| 1-4518-7121-X | |
| 9786612842146 | |
| 1-282-84214-5 | |
| Formato: | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione: | Inglese |
| Record Nr.: | 9910464251303321 |
| Lo trovi qui: | Univ. Federico II |
| Opac: | Controlla la disponibilità qui |
Serie:
IMF Working Papers