Composition of Trade in Latin America and the Caribbean /:
This study analyzes composition of goods trade in Latin America and the Caribbean (LAC) along four main dimensions: revealed comparative advantage, product complexity, sophistication, and diversification. After describing some key trade patterns over the last half century, it compares the findings f...
Gespeichert in:
| Hauptverfasser: | , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Washington, D.C. :
International Monetary Fund,
2017.
|
| Schriftenreihe: | IMF working paper ;
WP/17/42. |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Zusammenfassung: | This study analyzes composition of goods trade in Latin America and the Caribbean (LAC) along four main dimensions: revealed comparative advantage, product complexity, sophistication, and diversification. After describing some key trade patterns over the last half century, it compares the findings for LAC with other regions. Second, the study investigates how infrastructure quality, education, and tariff levels affect export composition. Third, using an approach based on product proximity, it aims to predict changes in LAC's future composition of exports. The study concludes that policies to upgrade human capital and infrastructure are essential for increasing LAC's export share in high-skill products. |
| Beschreibung: | 1 online resource (45 pages) |
| ISBN: | 9781475585605 1475585608 |
| ISSN: | 1018-5941 ; |
Internformat
MARC
| LEADER | 00000cam a2200000Mu 4500 | ||
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| 100 | 1 | |a Ding, Xiaodan, |e author. | |
| 245 | 1 | 0 | |a Composition of Trade in Latin America and the Caribbean / |c Xiaodan Ding and Metodij Hadzi-Vaskov. |
| 260 | |a Washington, D.C. : |b International Monetary Fund, |c 2017. | ||
| 300 | |a 1 online resource (45 pages) | ||
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| 490 | 1 | |a IMF Working Paper, |x 1018-5941 ; |v WP/17/42 | |
| 588 | 0 | |a Print version record. | |
| 505 | 0 | |a Cover; CONTENTS; Abstract; I. Introduction; II. Dimensions of Trade Composition; III. Dataset and Data Description; IV. Trends in Trade Composition; A. Revealed Comparative Advantage; B. Diversification; C. Sophistication; D. Economic Complexity; V. Product Proximity and Predicting Future Composition of Trade; A. Product Proximity; B. Predicting Composition of Trade; C. Prediction Performance; VI. Regression Analysis; A. Methodology; B. Results; VII. Impact of Trade Agreements; VIII. Concluding Remarks; IX. References; Tables; 1: Determinants of the Composition of Trade. | |
| 505 | 8 | |a 2: Determinants of the Composition of Trade: IV Regressions3: Regression Results: Impact of Trade Agreements on Export Composition; Figures; 1: Revealed Comparative Advantage for Latin America and the Caribbean; 2: Revealed Comparative Advantage for LA6; 3: Revealed Comparative Advantage for CAPDR; 4: Revealed Comparative Advantage for the Caribbean; 5: Revealed Comparative Advantage for Different Regions; 6: Revealed Comparative Advantage in Different Product Categories; 7. Export Concentration Index (Overall); 8: Export Concentration Index (Median). | |
| 505 | 8 | |a 9: Export Concentration Index (by Country)10: Export Concentration Index for the Caribbean; 11: Export Sophistication Index; 12: Standardized Export Sophistication Index; 13: Product Complexity of Exports; 14: Actual and Predicted Areas of Comparative Advantage; 15: Performance of Predictions for Comparative Advantage; 16: Actual and Predicted Areas of Comparative Advantage (Dynamic); 17: Performance of Predictions for Comparative Advantage (Dynamic); 18: Event Studies: Impact of Trade Agreements on Export Composition; Boxes. | |
| 505 | 8 | |a 1: Skill and Technology-Intensity Product Classification from UNCTAD2. Standard International Trade Classification (SITC); Appendices; I. Country Groupings; II. Distribution of Product Complexity Allowing Movements Across Quintiles; III. Robustness of Predictions for RCAs Across Product Groups to Alternative Time Horizons; IV. Additional Regression Results; V. Panel Vector Autoregressive Model. | |
| 520 | 3 | |a This study analyzes composition of goods trade in Latin America and the Caribbean (LAC) along four main dimensions: revealed comparative advantage, product complexity, sophistication, and diversification. After describing some key trade patterns over the last half century, it compares the findings for LAC with other regions. Second, the study investigates how infrastructure quality, education, and tariff levels affect export composition. Third, using an approach based on product proximity, it aims to predict changes in LAC's future composition of exports. The study concludes that policies to upgrade human capital and infrastructure are essential for increasing LAC's export share in high-skill products. | |
| 650 | 0 | |a Commerce |x Mathematical models. | |
| 650 | 6 | |a Commerce |x Modèles mathématiques. | |
| 650 | 7 | |a BUSINESS & ECONOMICS |x Economics |x General. |2 bisacsh | |
| 650 | 7 | |a BUSINESS & ECONOMICS |x Reference. |2 bisacsh | |
| 650 | 7 | |a Commerce |x Mathematical models |2 fast | |
| 700 | 1 | |a Hadzi-Vaskov, Metodij, |e author. |0 http://id.loc.gov/authorities/names/no2015132167 | |
| 758 | |i has work: |a Composition of Trade in Latin America and the Caribbean (Text) |1 https://id.oclc.org/worldcat/entity/E39PCFtyyqyWtjTWyHK34FkKJP |4 https://id.oclc.org/worldcat/ontology/hasWork | ||
| 776 | 0 | 8 | |i Print version: |a Ding, Xiaodan. |t Composition of Trade in Latin America and the Caribbean. |d Washington, D.C. : International Monetary Fund, ©2017 |z 9781475585490 |
| 830 | 0 | |a IMF working paper ; |v WP/17/42. |0 http://id.loc.gov/authorities/names/no89010263 | |
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Datensatz im Suchindex
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| adam_text | |
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| author | Ding, Xiaodan Hadzi-Vaskov, Metodij |
| author_GND | http://id.loc.gov/authorities/names/no2015132167 |
| author_facet | Ding, Xiaodan Hadzi-Vaskov, Metodij |
| author_role | aut aut |
| author_sort | Ding, Xiaodan |
| author_variant | x d xd m h v mhv |
| building | Verbundindex |
| bvnumber | localFWS |
| callnumber-first | H - Social Science |
| callnumber-label | HC125 |
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| callnumber-subject | HC - Economic History and Conditions |
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| contents | Cover; CONTENTS; Abstract; I. Introduction; II. Dimensions of Trade Composition; III. Dataset and Data Description; IV. Trends in Trade Composition; A. Revealed Comparative Advantage; B. Diversification; C. Sophistication; D. Economic Complexity; V. Product Proximity and Predicting Future Composition of Trade; A. Product Proximity; B. Predicting Composition of Trade; C. Prediction Performance; VI. Regression Analysis; A. Methodology; B. Results; VII. Impact of Trade Agreements; VIII. Concluding Remarks; IX. References; Tables; 1: Determinants of the Composition of Trade. 2: Determinants of the Composition of Trade: IV Regressions3: Regression Results: Impact of Trade Agreements on Export Composition; Figures; 1: Revealed Comparative Advantage for Latin America and the Caribbean; 2: Revealed Comparative Advantage for LA6; 3: Revealed Comparative Advantage for CAPDR; 4: Revealed Comparative Advantage for the Caribbean; 5: Revealed Comparative Advantage for Different Regions; 6: Revealed Comparative Advantage in Different Product Categories; 7. Export Concentration Index (Overall); 8: Export Concentration Index (Median). 9: Export Concentration Index (by Country)10: Export Concentration Index for the Caribbean; 11: Export Sophistication Index; 12: Standardized Export Sophistication Index; 13: Product Complexity of Exports; 14: Actual and Predicted Areas of Comparative Advantage; 15: Performance of Predictions for Comparative Advantage; 16: Actual and Predicted Areas of Comparative Advantage (Dynamic); 17: Performance of Predictions for Comparative Advantage (Dynamic); 18: Event Studies: Impact of Trade Agreements on Export Composition; Boxes. 1: Skill and Technology-Intensity Product Classification from UNCTAD2. Standard International Trade Classification (SITC); Appendices; I. Country Groupings; II. Distribution of Product Complexity Allowing Movements Across Quintiles; III. Robustness of Predictions for RCAs Across Product Groups to Alternative Time Horizons; IV. Additional Regression Results; V. Panel Vector Autoregressive Model. |
| ctrlnum | (OCoLC)982023390 |
| dewey-full | 330.98 |
| dewey-hundreds | 300 - Social sciences |
| dewey-ones | 330 - Economics |
| dewey-raw | 330.98 |
| dewey-search | 330.98 |
| dewey-sort | 3330.98 |
| dewey-tens | 330 - Economics |
| discipline | Wirtschaftswissenschaften |
| format | Electronic eBook |
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| id | ZDB-4-EBA-ocn982023390 |
| illustrated | Not Illustrated |
| indexdate | 2024-11-27T13:27:46Z |
| institution | BVB |
| isbn | 9781475585605 1475585608 |
| issn | 1018-5941 ; |
| language | English |
| oclc_num | 982023390 |
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| publishDateSearch | 2017 |
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| series | IMF working paper ; |
| series2 | IMF Working Paper, |
| spelling | Ding, Xiaodan, author. Composition of Trade in Latin America and the Caribbean / Xiaodan Ding and Metodij Hadzi-Vaskov. Washington, D.C. : International Monetary Fund, 2017. 1 online resource (45 pages) text txt rdacontent computer c rdamedia online resource cr rdacarrier IMF Working Paper, 1018-5941 ; WP/17/42 Print version record. Cover; CONTENTS; Abstract; I. Introduction; II. Dimensions of Trade Composition; III. Dataset and Data Description; IV. Trends in Trade Composition; A. Revealed Comparative Advantage; B. Diversification; C. Sophistication; D. Economic Complexity; V. Product Proximity and Predicting Future Composition of Trade; A. Product Proximity; B. Predicting Composition of Trade; C. Prediction Performance; VI. Regression Analysis; A. Methodology; B. Results; VII. Impact of Trade Agreements; VIII. Concluding Remarks; IX. References; Tables; 1: Determinants of the Composition of Trade. 2: Determinants of the Composition of Trade: IV Regressions3: Regression Results: Impact of Trade Agreements on Export Composition; Figures; 1: Revealed Comparative Advantage for Latin America and the Caribbean; 2: Revealed Comparative Advantage for LA6; 3: Revealed Comparative Advantage for CAPDR; 4: Revealed Comparative Advantage for the Caribbean; 5: Revealed Comparative Advantage for Different Regions; 6: Revealed Comparative Advantage in Different Product Categories; 7. Export Concentration Index (Overall); 8: Export Concentration Index (Median). 9: Export Concentration Index (by Country)10: Export Concentration Index for the Caribbean; 11: Export Sophistication Index; 12: Standardized Export Sophistication Index; 13: Product Complexity of Exports; 14: Actual and Predicted Areas of Comparative Advantage; 15: Performance of Predictions for Comparative Advantage; 16: Actual and Predicted Areas of Comparative Advantage (Dynamic); 17: Performance of Predictions for Comparative Advantage (Dynamic); 18: Event Studies: Impact of Trade Agreements on Export Composition; Boxes. 1: Skill and Technology-Intensity Product Classification from UNCTAD2. Standard International Trade Classification (SITC); Appendices; I. Country Groupings; II. Distribution of Product Complexity Allowing Movements Across Quintiles; III. Robustness of Predictions for RCAs Across Product Groups to Alternative Time Horizons; IV. Additional Regression Results; V. Panel Vector Autoregressive Model. This study analyzes composition of goods trade in Latin America and the Caribbean (LAC) along four main dimensions: revealed comparative advantage, product complexity, sophistication, and diversification. After describing some key trade patterns over the last half century, it compares the findings for LAC with other regions. Second, the study investigates how infrastructure quality, education, and tariff levels affect export composition. Third, using an approach based on product proximity, it aims to predict changes in LAC's future composition of exports. The study concludes that policies to upgrade human capital and infrastructure are essential for increasing LAC's export share in high-skill products. Commerce Mathematical models. Commerce Modèles mathématiques. BUSINESS & ECONOMICS Economics General. bisacsh BUSINESS & ECONOMICS Reference. bisacsh Commerce Mathematical models fast Hadzi-Vaskov, Metodij, author. http://id.loc.gov/authorities/names/no2015132167 has work: Composition of Trade in Latin America and the Caribbean (Text) https://id.oclc.org/worldcat/entity/E39PCFtyyqyWtjTWyHK34FkKJP https://id.oclc.org/worldcat/ontology/hasWork Print version: Ding, Xiaodan. Composition of Trade in Latin America and the Caribbean. Washington, D.C. : International Monetary Fund, ©2017 9781475585490 IMF working paper ; WP/17/42. http://id.loc.gov/authorities/names/no89010263 FWS01 ZDB-4-EBA FWS_PDA_EBA https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=1496821 Volltext |
| spellingShingle | Ding, Xiaodan Hadzi-Vaskov, Metodij Composition of Trade in Latin America and the Caribbean / IMF working paper ; Cover; CONTENTS; Abstract; I. Introduction; II. Dimensions of Trade Composition; III. Dataset and Data Description; IV. Trends in Trade Composition; A. Revealed Comparative Advantage; B. Diversification; C. Sophistication; D. Economic Complexity; V. Product Proximity and Predicting Future Composition of Trade; A. Product Proximity; B. Predicting Composition of Trade; C. Prediction Performance; VI. Regression Analysis; A. Methodology; B. Results; VII. Impact of Trade Agreements; VIII. Concluding Remarks; IX. References; Tables; 1: Determinants of the Composition of Trade. 2: Determinants of the Composition of Trade: IV Regressions3: Regression Results: Impact of Trade Agreements on Export Composition; Figures; 1: Revealed Comparative Advantage for Latin America and the Caribbean; 2: Revealed Comparative Advantage for LA6; 3: Revealed Comparative Advantage for CAPDR; 4: Revealed Comparative Advantage for the Caribbean; 5: Revealed Comparative Advantage for Different Regions; 6: Revealed Comparative Advantage in Different Product Categories; 7. Export Concentration Index (Overall); 8: Export Concentration Index (Median). 9: Export Concentration Index (by Country)10: Export Concentration Index for the Caribbean; 11: Export Sophistication Index; 12: Standardized Export Sophistication Index; 13: Product Complexity of Exports; 14: Actual and Predicted Areas of Comparative Advantage; 15: Performance of Predictions for Comparative Advantage; 16: Actual and Predicted Areas of Comparative Advantage (Dynamic); 17: Performance of Predictions for Comparative Advantage (Dynamic); 18: Event Studies: Impact of Trade Agreements on Export Composition; Boxes. 1: Skill and Technology-Intensity Product Classification from UNCTAD2. Standard International Trade Classification (SITC); Appendices; I. Country Groupings; II. Distribution of Product Complexity Allowing Movements Across Quintiles; III. Robustness of Predictions for RCAs Across Product Groups to Alternative Time Horizons; IV. Additional Regression Results; V. Panel Vector Autoregressive Model. Commerce Mathematical models. Commerce Modèles mathématiques. BUSINESS & ECONOMICS Economics General. bisacsh BUSINESS & ECONOMICS Reference. bisacsh Commerce Mathematical models fast |
| title | Composition of Trade in Latin America and the Caribbean / |
| title_auth | Composition of Trade in Latin America and the Caribbean / |
| title_exact_search | Composition of Trade in Latin America and the Caribbean / |
| title_full | Composition of Trade in Latin America and the Caribbean / Xiaodan Ding and Metodij Hadzi-Vaskov. |
| title_fullStr | Composition of Trade in Latin America and the Caribbean / Xiaodan Ding and Metodij Hadzi-Vaskov. |
| title_full_unstemmed | Composition of Trade in Latin America and the Caribbean / Xiaodan Ding and Metodij Hadzi-Vaskov. |
| title_short | Composition of Trade in Latin America and the Caribbean / |
| title_sort | composition of trade in latin america and the caribbean |
| topic | Commerce Mathematical models. Commerce Modèles mathématiques. BUSINESS & ECONOMICS Economics General. bisacsh BUSINESS & ECONOMICS Reference. bisacsh Commerce Mathematical models fast |
| topic_facet | Commerce Mathematical models. Commerce Modèles mathématiques. BUSINESS & ECONOMICS Economics General. BUSINESS & ECONOMICS Reference. Commerce Mathematical models |
| url | https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=1496821 |
| work_keys_str_mv | AT dingxiaodan compositionoftradeinlatinamericaandthecaribbean AT hadzivaskovmetodij compositionoftradeinlatinamericaandthecaribbean |