LEADER 03440nam 2200649 450 001 9910464251303321 005 20170821160658.0 010 $a1-4623-7798-X 010 $a1-4527-8640-2 010 $a1-4518-7121-X 010 $a9786612842146 010 $a1-282-84214-5 035 $a(CKB)3170000000055160 035 $a(EBL)1608096 035 $a(SSID)ssj0001488723 035 $a(PQKBManifestationID)11842762 035 $a(PQKBTitleCode)TC0001488723 035 $a(PQKBWorkID)11445320 035 $a(PQKB)11175823 035 $a(OCoLC)465449025 035 $a(MiAaPQ)EBC1608096 035 $a(EXLCZ)993170000000055160 100 $a20140227h20082008 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aWhat is really good for long-term growth? $elessons from a binary classification tree (BCT) approach. /$fRupa Duttagupta and Montfort Mlachila ; authorized for distribution by Marti?n Cerisola 210 1$a[Washington, District of Columbia] :$cInternational Monetary Fund,$d2008. 210 4$dİ2008 215 $a1 online resource (29 p.) 225 1 $aIMF Working Papers 225 0$aIMF working paper ;$vWP/08/263 300 $aDescription based upon print version of record. 311 $a1-4519-1574-8 320 $aIncludes bibliographical references. 327 $aContents; 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 327 $a3. 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 330 $aAlthough the economic growth literature has come a long way since the Solow-Swan model of the fifties, there is still considerable debate on the ""real' or ""deep"" determinants of growth. This paper revisits the question of what is really important for strong long-term growth by using a Binary Classification Tree approach, a nonparametric statistical technique that is not commonly used in the growth literature. A key strength of the method is that it recognizes that a combination of conditions can be instrumental in leading to a particular outcome, in this case strong growth. The paper finds 410 0$aIMF Working Papers 606 $aEconomic development$vCross-cultural studies 606 $aEconomic development$xRegional disparities 608 $aElectronic books. 615 0$aEconomic development 615 0$aEconomic development$xRegional disparities. 676 $a338.9 700 $aDuttagupta$b Rupa$0871536 701 $aMlachila$b Montfort$0894673 701 $aCerisola$b Martin$0871539 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910464251303321 996 $aWhat is really good for long-term growth$92224307 997 $aUNINA