Quantile Regression with Clustered Data

By Paulo M. D. C. Parente, J. S. Santos Silva. 2015

266 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/015884182a37b76ef6c5c383fd85b57c53467429

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. David Powell
2. J. Horbach
3. Andreas Hagemann
4. C. Rammer

In Statistics and Probability

1. David Powell
2. J. Horbach
3. Andreas Hagemann
4. C. Rammer

Citations in the corpus

• Cluster-Robust Bootstrap Inference in Quantile Regression Models (2014, methodology): “ARTICLE HISTORY Received August Revised July KEYWORDS Cluster-robust standard errors; Correlated data; Grouped data; Quantile; Resampling”
• Quantile regression with nonadditive fixed effects (2022, methodology): “In this section, I use the QRPD estimator to estimate the effect of tax rebates on quarterly consumption using data from Parker et al. (2013). Tax rebates in 2008 were provided to a majority of the population and distributed over the span of several weeks. Parker et al. (2013) uses the differential ”
• Circular economy innovations, growth and employment at the firm level: Empirical evidence from Germany (2019, methodology): “The clustered standard errors are calculated following Parente and Santos Silva (2016).”