Research Brief
Measuring Quality of Employment in Emerging Economies: A Methodology for Assessing Job Amenities using Big Data
This brief presents a novel methodology that leverages online vacancy data and natural language processing (NLP) to measure job amenities across different country contexts.
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Key points
- This brief presents a novel methodology that leverages online vacancy data and natural language processing (NLP) to measure job amenities across different country contexts.
- The methodology employs a taxonomy comprising 16 amenity subcategories, organized into five broad categories. It is specifically designed for vacancy data and can be adapted to country-specific contexts.
- Alongside wages, non-wage job attributes are an important aspect of what characterizes decent work.
- Measuring job amenities through vacancy data allows answering key questions such as: what matters for attracting talent? Are high-paying firms also high-satisfaction firms, or do they offset better amenities with lower wages? Moreover, are these trends consistent across different groups of workers? While it is well-established that workers have a significant willingness to pay for non-wage amenities, the nuances of how these preferences are exploited or accommodated by firms remain underexplored.
Additional details
Author(s)
- Willian Boschetti Adamczyk
- Isaure Delaporte
- Verónica Escudero