A web-based approach to measure skill mismatches and skills profiles for a developing country : the case of Colombia /
Several interdisciplinary studies highlight imperfect information as a possible explanation of skill mismatches, which in turn has implications for unemployment and informality rates. Despite information failures and their consequences, countries like Colombia (where informality and unemployment rat...
Guardado en:
| Autor principal: | |
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| Formato: | Libro electrónico |
| Lenguaje: | Español |
| Publicado: |
Bogotá :
Editorial Universidad del Rosario,
2020.
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| Materias: | |
| Acceso en línea: | https://elibro.net/ereader/siduncu/198440 |
Tabla de Contenidos:
- PÁGINA LEGAL
- CONTENTS
- LIST OF FIGURES
- LIST OF TABLES
- ACRONYMS AND ABBREVIATIONS
- 1. INTRODUCTION
- 2. THE LABOUR MARKET AND SKILL MISMATCHES
- 2.1. INTRODUCTION
- 2.2. BASIC DEFINITIONS
- 2.3. HOW THE LABOUR MARKET WORKS UNDER PERFECT COMPETITION
- 2.4. MARKET IMPERFECTIONS AND SEGMENTATION
- 2.5. CONCLUSION
- 3. THE COLOMBIAN CONTEXT
- 3.1. INTRODUCTION
- 3.2. THE CHARACTERISTICS OF THE COLOMBIAN LABOUR MARKET
- 3.3. SKILL MISMATCHES IN COLOMBIA
- 3.4. AN INTERNATIONAL EXAMPLE OF SKILL MISMATCH MEASURES
- 3.5. LACK OF ACCURATE INFORMATION TO DEVELOP WELL-ORIENTATED PUBLIC POLICIES
- 3.6. CONCLUSION
- 4. THE INFORMATION PROBLEM: BIG DATA AS A SOLUTION FOR LABOUR MARKET ANALYSIS
- 4.1. INTRODUCTION
- 4.2. A DEFINITION OF BIG DATA
- 4.3. BIG DATA ON THE LABOUR MARKET
- 4.4. POTENTIAL USES OF INFORMATION FROM JOB PORTALS TO TACKLE SKILL SHORTAGES
- 4.5. BIG DATA LIMITATIONS AND CAVEATS
- 4.6. BIG DATA IN THE COLOMBIAN CONTEXT
- 4.7. CONCLUSION
- 5. METHODOLOGY
- 5.1. INTRODUCTION
- 5.2. MEASUREMENT OF THE LABOUR DEMAND: JOB VACANCIES
- 5.3. SELECTING THE MOST IMPORTANT VACANCY WEBSITES IN THE COUNTRY
- 5.4. WEB SCRAPING
- 5.5. THE ORGANISATION AND HOMOGENISATION OF INFORMATION
- 5.6. CONCLUSION
- 6. EXTRACTING MORE VALUE FROM JOB VACANCY INFORMATION
- 6.1. INTRODUCTION
- 6.2. IDENTIFYING SKILLS
- 6.3. IDENTIFYING NEW OR SPECIFIC SKILLS
- 6.4. CLASSIFYING VACANCIES INTO OCCUPATIONS
- 6.5. DEDUPLICATION
- 6.6. IMPUTING MISSING VALUES
- 6.7. VACANCY DATA STRUCTURE
- 6.8. CONCLUSION
- 7. DESCRIPTIVE ANALYSIS OF THE VACANCY DATABASE
- 7.1. INTRODUCTION
- 7.2. VACANCY DATABASE COMPOSITION
- 7.3. GEOGRAPHICAL DISTRIBUTION OF VACANCIES AND NUMBER OF JOBS
- 7.4. LABOUR DEMAND FOR SKILLS
- 7.5. DEMAND BY SECTOR
- 7.6. TRENDS IN THE LABOUR DEMAND
- 7.7. WAGES
- 7.8. OTHER CHARACTERISTICS OF THE VACANCY DATABASE
- 7.9. CONCLUSION
- 8. INTERNAL AND EXTERNAL VALIDITY OF THE VACANCY DATABASE
- 8.1. INTRODUCTION
- 8.2. INTERNAL VALIDITY
- 8.3. EXTERNAL VALIDITY
- 8.4. CONCLUSION
- 9. POSSIBLE USES OF LABOUR DEMAND AND SUPPLY INFORMATION TO REDUCE SKILL (...)
- 9.1. INTRODUCTION
- 9.2. LABOUR MARKET DESCRIPTION
- 9.3. MEASURING POSSIBLE SKILL MISMATCHES (MACRO-INDICATORS)
- 9.4. DETAILED INFORMATION ABOUT OCCUPATIONS AND SKILL MATCHING
- 9.5. CONCLUSIONS
- 10. CONCLUSIONS AND IMPLICATIONS
- 10.1. INTRODUCTION
- 10.2. CONCEPTUAL CONTRIBUTIONS
- 10.3. CONTRIBUTIONS TO METHODOLOGY
- 10.4. EMPIRICAL CONTRIBUTIONS
- 10.5. IMPLICATIONS FOR PRACTICE AND POLICY
- 10.6. LIMITATIONS
- 10.7. FURTHER RESEARCH
- 10.8. CONCLUSIONS
- REFERENCES
- APPENDIX
- APPENDIX A: EXAMPLES OF JOB PORTAL STRUCTURES
- APPENDIX B: TEXT MINING
- APPENDIX C: DETAILED PROCESS DESCRIPTION FOR THE CLASSIFICATION OF COMPANIES
- APPENDIX D: MACHINE LEARNING ALGORITHMS
- APPENDIX E: SUPPORT VECTOR MACHINE (SVM)
- APPENDIX F: SVM USING JOB TITLES
- APPENDIX G: NEAREST NEIGHBOUR ALGORITHM USING JOB TITLES
- APPENDIX H: ADDITIONAL TABLES.
