Early Warning Signals of Financial Crises with Multi-Scale Quantile Regressions of Log-Periodic Power Law Singularities. [PDF]
PLoS ONE, 2016 We augment the existing literature using the Log-Periodic Power Law Singular (LPPLS) structures in the log-price dynamics to diagnose financial bubbles by providing three main innovations.
Qun Zhang, Qunzhi Zhang, Didier Sornette
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How far can air pollution affect tourism in China? Evidence from panel unconditional quantile regressions. [PDF]
PLoS ONEPrevious studies provide empirical evidence for the connection between air pollution and tourism. However, many of them take the nexus as a linear one. It remains unexplored whether any thresholds are required for the nexus to materialize.
Yuxuan Xiao +4 more
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Nonparametric quantile regression captures regional variability and scaling deviations in Atlantic surfclam length–weight relationships [PDF]
Scientific ReportsThe universality of the allometric model for describing the length–weight relationship in marine species has been questioned, particularly for some invertebrates such as sea urchins, clams, and barnacles.
Gorka Bidegain +6 more
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Quantile regressions as a tool to evaluate how an exposure shifts and reshapes the outcome distribution: a primer for epidemiologists [PDF]
American Journal of EpidemiologyM Maria Glymour +2 more
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Does the Magnitude of the Link between Unemployment and Crime Depend on the Crime Level? A Quantile Regression Approach [PDF]
International Journal of Conflict and Violence, 2015 Two alternative hypotheses – referred to as opportunity- and stigma-based behavior – suggest that the magnitude of the link between unemployment and crime also depends on preexisting local crime levels.
Horst Entorf, Philip Sieger
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Nexus between cryptocurrencies and global uncertainty: A quantile regression approach
Cogent Economics & Finance, 2023 The study extends the literature on the nexus between cryptocurrency and uncertainty. This study proxied the cryptocurrencies and global uncertainty, respectively, with the seven most significant and variationally susceptible cryptos and the ...
John Kingsley Woode +4 more
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Debiased/Double Machine Learning for Instrumental Variable Quantile Regressions
Econometrics, 2021 In this study, we investigate the estimation and inference on a low-dimensional causal parameter in the presence of high-dimensional controls in an instrumental variable quantile regression.
Jau-er Chen +2 more
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Keep It Simple: A Methodological Discussion of Wage Inequalities in the Spanish Hospitality Industry
Mathematics, 2023 Human capital in hospitality has been widely addressed by applying sophisticated econometric methods. However, for the Spanish case, there was a gap in the analyses as the crucial importance of collective agreements was undervalued.
Francisco Sánchez-Cubo +3 more
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Information for banking efficiency in Africa: evidence from income levels and legal origins [PDF]
The European Journal of Comparative Economics, 2022 The study assesses how information sharing through mobile phones affects banking system efficiency in Africa with particular emphasis on income levels (middle-income versus low-income countries) and legal origins (English Common law versus French Civil ...
Simplice A. Asongu, Nicholas M. Odhiambo
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Future climate emulations using quantile regressions on large ensembles [PDF]
Advances in Statistical Climatology, Meteorology and Oceanography, 2019 The study of climate change and its impacts depends on generating projections of future temperature and other climate variables. For detailed studies, these projections usually require some combination of numerical simulation and observations, given that
M. A. Haugen +3 more
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