A Web-Based Approach to Measure Skill Mismatches and Skills Profiles for a Developing Country:. Jeisson Arley Cárdenas Rubio

A Web-Based Approach to Measure Skill Mismatches and Skills Profiles for a Developing Country: - Jeisson Arley Cárdenas Rubio


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Appendix B: Text Mining

       Appendix C: Detailed Process Description for the Classification of Companies

       C.1. Manual coding

       C.2. Word-based matching methods (“Fuzzy merge”)

       C.3. A return to manual coding

       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

       List of Figures

       Figure 2.1. Labour market structure

       Figure 2.2. Composition of informal economy

       Figure 2.3. Labour market equilibrium under perfect competition

       Figure 4.1. IP traffic by source, 2016-2021

       Figure 5.1. Job advertisement comparison between job portals

       Figure 6.1. Steps for extracting more value from job vacancy information

       Figure 6.2. Word cloud: Frequency analysis

       Figure 6.3. Word association: Frequency analysis

       Figure 6.4. Summary of steps carried out to obtain the Colombian vacancy database

       Figure 7.1. Distribution of job placements by departments, 2016-2018

       Figure 7.2 Ratio of job placements to EAP by departments, 2016-2017

       Figure 7.3. Job placements by minimum educational requirements

       Figure 7.4. Word cloud: Most frequent job titles by job portals

       Figure 7.5. Distribution of job placements by major occupational ISCO-08 groups

       Figure 7.6. Job placements by experience requirements

       Figure 7.7. Trends of the labour demand by major occupational ISCO-08 groups

       Figure 7.8. Trends of the most demanded occupations at a four-digit level

       Figure 7.9. Occupations at a four-digit level with a positive trend

       Figure 7.10. Occupations at a four-digit level with a negative trend

       Figure 7.11. Wage density

       Figure 7.12. Jobs by type of contract

       Figure 7.13. Duration density (monthly)

       Figure 8.1. Education and wages (Colombian pesos)

       Figure 8.2. Occupations and wages (Colombian pesos)

       Figure 8.3. Years of experience and wages

       Figure 8.4. Job placements and employment distribution by occupational groups (ISCO-08)

       Figure 8.5. Wage distributions

       Figure 8.6. Time series: Total employment and job placements, 2016-2018

       Figure 8.7. Time series: Total unemployment and job placements, 2016-2018

       Figure 8.8. Time series: New hires and job placements, 2016-2018

       Figure 9.1. Occupational distribution of the Colombian workforce by skill level

       Figure 9.2. Unemployment and informality rates and duration of unemployment by skill level

       Figure 9.3. Average wages of formal and informal workers by skill level

       Figure 9.4. Labour market composition of Colombian workers by skill level, 2010-2018

       Figure 9.5. Employment growth by skill level, 2011-2018

       Figure 9.6. Evolution of the unemployment rate by skill level, 2015-2018

       Figure 9.7. Evolution of the informality rate by skill level, 2010-2018

       Figure 9.8. Beveridge curve by (major) occupational groups

       Figure 9.9. Percentage change in unemployed individuals by sought occupation

       Figure 9.10. Percentage change in formal employment by occupation

       Figure 9.11. Percentage change in new hires by occupation

       Figure 9.12. Percentage change in hours worked for formal employees by occupation

       Figure 9.13. Percentage change in job placements by occupation

       Figure 9.14. Percentage change in mean real hourly wage for formal employees by occupation

       Figure 9.15. Occupational hourly pay premia

       Figure 9.16. Occupational pay premia within job placements

       Figure 9.17. Number of occupations according to the percentage of indicators that suggest skill shortages

       Figure A.1. Job portal comparison

       Figure A.2. Job advertisement comparison within the same job portal

       Figure A.3. Code comparison between job portals

       Figure A.4. HTML code structure

       Figure C.1. Fuzzy merge: The classification of companies

       Figure E.1. SVM classification with job titles

       List of Tables

       Table 3.1. Characteristics of the Colombian workforce

       Table 4.1. OECD quality framework and guidelines

       Table 4.2. Possible sources that affect the quality of information from job portals


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