| Description |
1 online resource (43 pages) |
| Series |
IMF working paper ; no. 13/176.
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| Contents |
Cover; Abstract; Contents; I. Introduction; II. Literature Review; III. Stylized Facts; IV. Methodology and Data; V. Empirical Results; A. Baseline Regressions; B. Actual versus Predicted Shares; C. Role of Policy and Institutional Variables; VI. Robustness; VII. Conclusion; Figures; 1. Real Value Added Shares and Real GDP per capita, 1970-2010; 2. Shares by Sector of Economic Activity in EMs and LICs by Region; 3. Mining vs. Manufacturing and Services Shares in Total Value Added; 4. Real Value Added Shares by Sector of Economic Activity in Selected LICs |
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5. Real Value Added Shares by Sector of Economic Activity in Selected EMEs6. Actual vs. Predicted Sectoral Shares Across Income Groups, 1970-2010; 7. Actual vs. Predicted (Median) Shares by Countries, 2010; 8. Comparison of Quantile Regression and OLS Coefficient Estimates; Tables; 1. Role of Country Fundamentals: OLS Regressions; 2. Role of Country Fundamentals (Full Sample): Quantile Regressions; 3. Role of Policy and Institutional Factors: OLS Regressions; 4. Role of Policy and Institutional Factors: Quantile Regressions |
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5. Drivers of Diversification over Different Time Horizons: Quantile Regressions6. Role of Country Fundamentals (EMEs and LICs): Quantile Regressions; 7. Alternative Independent Variables: Quantile Regressions; 8.1 Additional Controls-Agriculture: Quantile Regressions; 8.2 Additional Controls-Manufacturing: Quantile Regressions; 8.3 Additional Controls- Services: Quantile Regressions; References; Appendixes; I: List of Countries in the Sample; II: Data Description |
| Summary |
This paper documents stylized facts on the process of structural transformation around the world and empirically analyzes its determinants using data on real value added by sector of economic activity (agriculture, manufacturing and services) for a panel of 168 countries over the period 1970-2010. The analysis points to large differences in sector shares both across and within regions as well as for countries at similar levels of economic development. Using both linear and quantile regression methods, it finds that a large proportion of the cross-country variation in sector shares can be accounted for by country characteristics, such as real GDP per capita, demographic structure, and population size. It also finds that policy and institutional variables, such as product market reforms, openness to trade, human and physical capital, and finance improve the baseline model's ability to account for the variation in sectoral shares across countries |
| Notes |
"July 2013." |
| Bibliography |
Includes bibliographical references |
| Subject |
Structural adjustment (Economic policy)
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Structural adjustment (Economic policy)
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| Form |
Electronic book
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| Author |
Dabla-Norris, Era
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International Monetary Fund.
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