*The deadline has been extended to 30th January 2017*
Econometrics and Statistics
CALL FOR PAPERS
Special Issue on QUANTILE REGRESSION AND SEMIPARAMETRIC METHODS
http://www.elsevier.com/locate/ecosta
http://www.sciencedirect.com/science/journal/aip/24523062
Quantile regression has gained its prominence in the statistics and
econometrics literature because of its power in analyzing
relationships that exhibit inherent heterogeneity. In the modern era
of data deluge, understanding heterogeneity requires statistical
models beyond fully parametric specifications. Quantile regression and
other seminparametric regression methods have found their wide
applications in many scientific and social studies. This special issue
on Quantile regression and semiparametric methods aims to feature
research articles that extend the frontiers of quantile regression and
other semiparametric regression in theory or in applications.
We welcome submissions in one or more of the following topics, but the
list of topics is not meant to be exclusive: Bayesian quantile
regression; censored quantile regression; inference for semiparametric
regression; multi-output quantile models; quantile models for
functional data; quantile model selection; quantile models with random
effects; quantile regression with missing data; quantile treatment
effects; semiparametric models for panel data, spatial data or
clustered data; semiparametric time series models; single-index or
multi-index models; expectile regression. Novel applications of
quantile regression and other semiparametric regression models to
interesting problems of social or scientific relevance are also
welcome.
Submissions will be refereed according to standard procedures for
Econometrics and Statistics. Information about the journal can be
found at http://www.elsevier.com/locate/ecosta.
The deadline for submissions is *30 January 2017* . However, papers
can be submitted at any time and once they are received, they will
enter the editorial system immediately. Papers for the special issue
should be submitted using the Elsevier Electronic Submission tool EES:
http://ees.elsevier.com/ecosta. In the EES, please choose the special
issue on "QUANTILE REGRES & SEMIPAR".
The special issue editors:
Xuming He, University of Michigan, USA.
Email: [log in to unmask]
Thomas Kneib, Georg-August-Universitat Gottingen, Germany
Email: [log in to unmask]
Carlos Lamarche, University of Kentucky, USA.
Email: [log in to unmask]
Lan Wang, University of Minnesota, USA.
Email: [log in to unmask]
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