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- W3122383313 abstract "Analyses using aggregated data may bias inference. In this work we show how to avoid or at least reduce this bias when estimating quantile regressions using aggregated information. This is possible by considering the unconditional quantile regression recently introduced by Firpo et al (2009) and using a specific strategy to aggregate the data." @default.
- W3122383313 created "2021-02-01" @default.
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- W3122383313 date "2011-05-13" @default.
- W3122383313 modified "2023-09-27" @default.
- W3122383313 title "Quantile regression with aggregated data" @default.
- W3122383313 hasPublicationYear "2011" @default.
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