Fernando Rios-Avila
Biographic Data
| ID | 233223 |
|---|---|
| NAME | Fernando Rios-Avila |
| GIVEN NAMES | Fernando |
| FAMILY NAME | Rios-Avila |
| SIGNATURE | RIOS-AVILA F |
| AFFILIATIONS | Levy Economics Institute of Bard College |
| VERIFIED | No |
| TOTAL WORKS | 6 |
| TOTAL CITATIONS | 11 |
| WORKS AS AUTHOR | 6 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2013 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 1 |
On decomposing the changes in wage inequality in Palestine over time
This paper examines the evolution of wage inequality in Palestine's labour market from 2009 to 2016. Using the Gini coefficient, along with bottom, upper, and middle inter-quintiles, we identify a persistent upward trend in wage disparity over time. Applying an inter-temporal decomposition approach, we distinguish between the composition effect—driven by demographic and labour market characteristics—and the wage structure effect, which reflects u…
Moving Beyond Linear Regression
Quantile regression (QR) provides an alternative to linear regression (LR) that allows for the estimation of relationships across the distribution of an outcome. However, as highlighted in recent research on the motherhood penalty across the wage distribution, different procedures for conditional and unconditional quantile regression (CQR, UQR) often result in divergent findings that are not always well understood. In light of such discrepancies,…
Using repeated cross-sectional data to examine the role of immigrant birth-country networks on unemployment duration
Recentered influence functions (RIFs) in Stata
Recentered influence functions (RIFs) are statistical tools popularized by Firpo, Fortin, and Lemieux (2009 , Econometrica 77: 953–973) for analyzing unconditional partial effects on quantiles in a regression analysis framework (unconditional quantile regressions). The flexibility and simplicity of these tools have opened the possibility to extend the analysis to other distributional statistics using linear regressions or decomposition approaches…
On the Determinants of Changes in Wage Inequality in Urban Bolivia
In recent years, Bolivia has experienced a series of economic and political transformations that have directly affected the labor markets, particularly the salaried urban sector. Real wages have shown strong increases across the distribution, while also presenting a decrease in inequality. Using an intertemporal decomposition approach, we find evidence that changes in demographic and labor market characteristics can explain only a small portion o…
The impact of psychological trauma on wages in post-conflict Bosnia and Herzegovina
Moving Beyond Linear Regression
Quantile regression (QR) provides an alternative to linear regression (LR) that allows for the estimation of relationships across the distribution of an outcome. However, as highlighted in recent research on the motherhood penalty across the wage distribution, different procedures for conditional and unconditional quantile regression (CQR, UQR) often result in divergent findings that are not always well understood. In light of such discrepancies,…
The impact of psychological trauma on wages in post-conflict Bosnia and Herzegovina
The impact of psychological trauma on wages in post-conflict Bosnia and Herzegovina
On the Determinants of Changes in Wage Inequality in Urban Bolivia
In recent years, Bolivia has experienced a series of economic and political transformations that have directly affected the labor markets, particularly the salaried urban sector. Real wages have shown strong increases across the distribution, while also presenting a decrease in inequality. Using an intertemporal decomposition approach, we find evidence that changes in demographic and labor market characteristics can explain only a small portion o…
Recentered influence functions (RIFs) in Stata
Recentered influence functions (RIFs) are statistical tools popularized by Firpo, Fortin, and Lemieux (2009 , Econometrica 77: 953–973) for analyzing unconditional partial effects on quantiles in a regression analysis framework (unconditional quantile regressions). The flexibility and simplicity of these tools have opened the possibility to extend the analysis to other distributional statistics using linear regressions or decomposition approaches…
Using repeated cross-sectional data to examine the role of immigrant birth-country networks on unemployment duration
Moving Beyond Linear Regression
Quantile regression (QR) provides an alternative to linear regression (LR) that allows for the estimation of relationships across the distribution of an outcome. However, as highlighted in recent research on the motherhood penalty across the wage distribution, different procedures for conditional and unconditional quantile regression (CQR, UQR) often result in divergent findings that are not always well understood. In light of such discrepancies,…
On decomposing the changes in wage inequality in Palestine over time
This paper examines the evolution of wage inequality in Palestine's labour market from 2009 to 2016. Using the Gini coefficient, along with bottom, upper, and middle inter-quintiles, we identify a persistent upward trend in wage disparity over time. Applying an inter-temporal decomposition approach, we distinguish between the composition effect—driven by demographic and labour market characteristics—and the wage structure effect, which reflects u…
Economics (4 works) · Wage (4 works) · Demographic economics (3 works) · Econometrics (3 works) · Economic growth (3 works) · Employment and Welfare Studies (3 works) · Labor market dynamics and wage inequality (3 works) · Labour economics (3 works) · Mathematics (3 works) · Statistics (3 works)