Nonparametric Econometric Methods and Application

The present Special Issue collects a number of new contributions both at the theoretical level and in terms of applications in the areas of nonparametric and semiparametric econometric methods. In particular, this collection of papers that cover areas such as developments in local smoothing techniqu...

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Tác giả chính: Stengos, Thanasis
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Ngôn ngữ:Tiếng Anh
Được phát hành: MDPI - Multidisciplinary Digital Publishing Institute 2021
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author Stengos, Thanasis
author_browse Stengos, Thanasis
author_facet Stengos, Thanasis
author_sort Stengos, Thanasis
collection Directory of Open Access Books
description The present Special Issue collects a number of new contributions both at the theoretical level and in terms of applications in the areas of nonparametric and semiparametric econometric methods. In particular, this collection of papers that cover areas such as developments in local smoothing techniques, splines, series estimators, and wavelets will add to the existing rich literature on these subjects and enhance our ability to use data to test economic hypotheses in a variety of fields, such as financial economics, microeconomics, macroeconomics, labor economics, and economic growth, to name a few.
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institution Directory of Open Access Books
language eng
publishDate 2021
publishDateRange 2021
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publisherStr MDPI - Multidisciplinary Digital Publishing Institute
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spelling doab-20.500.12854ir-547652023-12-20T18:40:39Z Nonparametric Econometric Methods and Application Stengos, Thanasis QA1-939 Q1-390 discrete duration models volatility feedback effect semiparametric estimation nonparametric method GLS detrending functional coefficients purified implied volatility country competitiveness index nonparametric frontiers efficiency materials balance condition panel data Dirichlet process prior classification indicators Kendall’s tau realised volatility Malmquist productivity index conditional dependence index wavelet dependent Bayesian nonparametrics TFP growth Solow economic growth convergence model unit root testing nonparametric 2SLS estimator random forests competitiveness slice sampling integrated difference kernel estimator maximum score estimator heterogeneous autoregressive model generalized additive models Monte Carlo tensor products cubic spline penalty M-estimation nonparametric copula leverage effect conditional quantile function emissions efficient semiparamteric estimation DEA tail dependence index difference kernel estimator nonparametric threshold regression machine learning factors local linear regression European Union financial development series estimator production efficiency bic Book Industry Communication::P Mathematics & science The present Special Issue collects a number of new contributions both at the theoretical level and in terms of applications in the areas of nonparametric and semiparametric econometric methods. In particular, this collection of papers that cover areas such as developments in local smoothing techniques, splines, series estimators, and wavelets will add to the existing rich literature on these subjects and enhance our ability to use data to test economic hypotheses in a variety of fields, such as financial economics, microeconomics, macroeconomics, labor economics, and economic growth, to name a few. 2021-02-11T21:08:18Z 2021-02-11T21:08:18Z 2019-06-26 08:44:06 2019 book 33647 9783038979654 9783038979647 https://directory.doabooks.org/handle/20.500.12854/54765 eng image/jpeg Attribution-NonCommercial-NoDerivatives 4.0 International https://mdpi.com/books/pdfview/book/1302 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-03897-965-4 10.3390/books978-3-03897-965-4 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783038979654 9783038979647 224 open access
spellingShingle QA1-939
Q1-390
discrete duration models
volatility feedback effect
semiparametric estimation
nonparametric method
GLS detrending
functional coefficients
purified implied volatility
country competitiveness index
nonparametric frontiers
efficiency
materials balance condition
panel data
Dirichlet process prior
classification
indicators
Kendall’s tau
realised volatility
Malmquist productivity index
conditional dependence index
wavelet
dependent Bayesian nonparametrics
TFP growth
Solow economic growth convergence model
unit root testing
nonparametric 2SLS estimator
random forests
competitiveness
slice sampling
integrated difference kernel estimator
maximum score estimator
heterogeneous autoregressive model
generalized additive models
Monte Carlo
tensor products
cubic spline penalty
M-estimation
nonparametric copula
leverage effect
conditional quantile function
emissions
efficient semiparamteric estimation
DEA
tail dependence index
difference kernel estimator
nonparametric threshold regression
machine learning
factors
local linear regression
European Union
financial development
series estimator
production efficiency
bic Book Industry Communication::P Mathematics & science
Stengos, Thanasis
Nonparametric Econometric Methods and Application
title Nonparametric Econometric Methods and Application
title_full Nonparametric Econometric Methods and Application
title_fullStr Nonparametric Econometric Methods and Application
title_full_unstemmed Nonparametric Econometric Methods and Application
title_short Nonparametric Econometric Methods and Application
title_sort nonparametric econometric methods and application
topic QA1-939
Q1-390
discrete duration models
volatility feedback effect
semiparametric estimation
nonparametric method
GLS detrending
functional coefficients
purified implied volatility
country competitiveness index
nonparametric frontiers
efficiency
materials balance condition
panel data
Dirichlet process prior
classification
indicators
Kendall’s tau
realised volatility
Malmquist productivity index
conditional dependence index
wavelet
dependent Bayesian nonparametrics
TFP growth
Solow economic growth convergence model
unit root testing
nonparametric 2SLS estimator
random forests
competitiveness
slice sampling
integrated difference kernel estimator
maximum score estimator
heterogeneous autoregressive model
generalized additive models
Monte Carlo
tensor products
cubic spline penalty
M-estimation
nonparametric copula
leverage effect
conditional quantile function
emissions
efficient semiparamteric estimation
DEA
tail dependence index
difference kernel estimator
nonparametric threshold regression
machine learning
factors
local linear regression
European Union
financial development
series estimator
production efficiency
bic Book Industry Communication::P Mathematics & science
topic_facet QA1-939
Q1-390
discrete duration models
volatility feedback effect
semiparametric estimation
nonparametric method
GLS detrending
functional coefficients
purified implied volatility
country competitiveness index
nonparametric frontiers
efficiency
materials balance condition
panel data
Dirichlet process prior
classification
indicators
Kendall’s tau
realised volatility
Malmquist productivity index
conditional dependence index
wavelet
dependent Bayesian nonparametrics
TFP growth
Solow economic growth convergence model
unit root testing
nonparametric 2SLS estimator
random forests
competitiveness
slice sampling
integrated difference kernel estimator
maximum score estimator
heterogeneous autoregressive model
generalized additive models
Monte Carlo
tensor products
cubic spline penalty
M-estimation
nonparametric copula
leverage effect
conditional quantile function
emissions
efficient semiparamteric estimation
DEA
tail dependence index
difference kernel estimator
nonparametric threshold regression
machine learning
factors
local linear regression
European Union
financial development
series estimator
production efficiency
bic Book Industry Communication::P Mathematics & science
url 33647
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