Why did wage inequality increase? Evidence from urban India 1983-99
By Yoko Kijima. 2006
225 citations recorded by the source corpus.
Subfields: Economics and Econometrics
View Paper: https://www.semanticscholar.org/paper/c7d60646663080b2e8589a6d9ed653db438439fd
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In Economics and Econometrics
- Hanol Lee
- Stephan Klasen
- Janneke Pieters
- Runjuan Liu
- Jong‐Wha Lee
- Nidhiya Menon
- Dainn Wie
- Junsen Zhang
Citations in the corpus
- What Explains the Stagnation of Female Labor Force Participation in Urban India? (2015, background): “India has also experienced a sizable fertility decline, a rapid education expansion and a decline in the education gender gap, while the labor market returns to education increased (Kijima, 2006; Pieters, 2010).”
- Human capital and income inequality* (2018, background): “In urban India, wage inequality has increased since the start of the economic reform in 1991, mainly owing to increases in the returns on skills (Kijima 2006).”
- Push or Pull? Drivers of Female Labor Force Participation During India's Economic Boom (2012, result): “This is in stark contrast with the fast-rising wages for high-skilled workers in the services sector (see, e.g., Kijima, 2006).”
- Globalization and wage inequality: Evidence from urban China (2012, background): “However, in the US and India, the increasing wage inequality is mostly concentrated in the top-end of the wage distribution during the 1990s (Kijima, 2006, Lemieux, 2008).”
- Technological Change, Skill Demand, and Wage Inequality: Evidence from Indonesia (2015, background): “Kijima (2006) also points out the returns to skills, resulted from skill-biased technological changes within industries, as a driving force of increasing income inequality in India.”
- International Trade and the Gender Wage Gap: New Evidence from India’s Manufacturing Sector (2009, methodology): “This widening in the gap could be explained by the growing dispersion in returns to observed skills (as argued in Kijima 2006), growing importance of unobserved skills, or by rising discrimination. To further explore this issue, we conducted a more detailed decomposition procedure follow the approac”