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Quantile Regression: Estimation and Simulation

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The article was published on 2018-09-24 and is currently open access. It has received 1282 citations till now. The article focuses on the topics: Quantile regression.

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Economic and social consequences of human mobility restrictions under COVID-19.

TL;DR: A massive analysis of the impact of lockdown measures introduced in response to the spread of novel coronavirus disease 2019 (COVID-19) on socioeconomic conditions of Italian citizens is presented and evidence of a segregation effect is found, since mobility contraction is stronger in municipalities in which inequality is higher and for those where individuals have lower income per capita.
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Quantiles via Moments

TL;DR: The methods proposed are not meant to replace the well-established quantile regression estimator, but provide an additional tool that can allow the estimation of regression quantiles in settings where otherwise that would be difficult or even impossible.
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Information Asymmetry and Market Power in the African Banking Industry

TL;DR: In this article, the authors assess how market power in the African banking industry is affected by the complementarity between information sharing offices and information and communication technology (ICT), based on a panel of 162 banks consisting of 42 countries for the period 2001-2011.
Posted Content

Generalized Low Rank Models

TL;DR: This work extends the idea of PCA to handle arbitrary data sets consisting of numerical, Boolean, categorical, ordinal, and other data types, and proposes several parallel algorithms for fitting generalized low rank models.
Journal ArticleDOI

US particulate matter air quality improves except in wildfire-prone areas

TL;DR: A positive trend in 98th quantile PM2.5 is found in the Northwest United States, due to wildfire activity and was supported by positive trends in total carbon and no trend in sulfate across the Northwest, which supports model predictions of increasing wildfire occurrence and PM1.5 in a warming world.