Smoothed Quantile Regression For Panel Data

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Smoothed Quantile Regression for Panel Data

Author : Antonio F. Galvao
Publisher :
ISBN 13 :
Total Pages : 63 pages
Book Rating : 4.:/5 (13 download)

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Book Synopsis Smoothed Quantile Regression for Panel Data by : Antonio F. Galvao

Download or read book Smoothed Quantile Regression for Panel Data written by Antonio F. Galvao and published by . This book was released on 2015 with total page 63 pages. Available in PDF, EPUB and Kindle. Book excerpt: This paper studies fixed effects estimation of quantile regression (QR) models with panel data. Previous studies show that there are two important difficulties with the standard QR estimation. First, the estimator can be biased because of the well-known incidental parameters problem. Secondly, the non-smoothness of the objective function significantly complicates the asymptotic analysis of the estimator, especially in panel data models. We overcome the latter problem by smoothing the objective function. Under an asymptotic framework where both the numbers of individuals and time periods grow at the same rate, we show that the fixed effects estimator for the smoothed objective function has a limiting normal distribution with a bias in the mean, and provide the analytic form of the asymptotic bias. We propose a one-step bias correction to the fixed effects estimator based on the analytic bias formula obtained from our asymptotic analysis. Importantly, our results cover the case that the observations are dependent in the time dimension. We illustrate the effect of the bias correction to the estimator through simulations.

Handbook of Quantile Regression

Author : Roger Koenker
Publisher : CRC Press
ISBN 13 : 1351646567
Total Pages : 739 pages
Book Rating : 4.3/5 (516 download)

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Book Synopsis Handbook of Quantile Regression by : Roger Koenker

Download or read book Handbook of Quantile Regression written by Roger Koenker and published by CRC Press. This book was released on 2017-10-12 with total page 739 pages. Available in PDF, EPUB and Kindle. Book excerpt: Quantile regression constitutes an ensemble of statistical techniques intended to estimate and draw inferences about conditional quantile functions. Median regression, as introduced in the 18th century by Boscovich and Laplace, is a special case. In contrast to conventional mean regression that minimizes sums of squared residuals, median regression minimizes sums of absolute residuals; quantile regression simply replaces symmetric absolute loss by asymmetric linear loss. Since its introduction in the 1970's by Koenker and Bassett, quantile regression has been gradually extended to a wide variety of data analytic settings including time series, survival analysis, and longitudinal data. By focusing attention on local slices of the conditional distribution of response variables it is capable of providing a more complete, more nuanced view of heterogeneous covariate effects. Applications of quantile regression can now be found throughout the sciences, including astrophysics, chemistry, ecology, economics, finance, genomics, medicine, and meteorology. Software for quantile regression is now widely available in all the major statistical computing environments. The objective of this volume is to provide a comprehensive review of recent developments of quantile regression methodology illustrating its applicability in a wide range of scientific settings. The intended audience of the volume is researchers and graduate students across a diverse set of disciplines.

Quantile Regression

Author : Marilena Furno
Publisher : John Wiley & Sons
ISBN 13 : 111886364X
Total Pages : 311 pages
Book Rating : 4.1/5 (188 download)

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Book Synopsis Quantile Regression by : Marilena Furno

Download or read book Quantile Regression written by Marilena Furno and published by John Wiley & Sons. This book was released on 2018-07-18 with total page 311 pages. Available in PDF, EPUB and Kindle. Book excerpt: Contains an overview of several technical topics of Quantile Regression Volume two of Quantile Regression offers an important guide for applied researchers that draws on the same example-based approach adopted for the first volume. The text explores topics including robustness, expectiles, m-quantile, decomposition, time series, elemental sets and linear programming. Graphical representations are widely used to visually introduce several issues, and to illustrate each method. All the topics are treated theoretically and using real data examples. Designed as a practical resource, the book is thorough without getting too technical about the statistical background. The authors cover a wide range of QR models useful in several fields. The software commands in R and Stata are available in the appendixes and featured on the accompanying website. The text: Provides an overview of several technical topics such as robustness of quantile regressions, bootstrap and elemental sets, treatment effect estimators Compares quantile regression with alternative estimators like expectiles, M-estimators and M-quantiles Offers a general introduction to linear programming focusing on the simplex method as solving method for the quantile regression problem Considers time-series issues like non-stationarity, spurious regressions, cointegration, conditional heteroskedasticity via quantile regression Offers an analysis that is both theoretically and practical Presents real data examples and graphical representations to explain the technical issues Written for researchers and students in the fields of statistics, economics, econometrics, social and environmental science, this text offers guide to the theory and application of quantile regression models.

Handbook of Quantile Regression

Author : Roger Koenker
Publisher : CRC Press
ISBN 13 : 1498725295
Total Pages : 463 pages
Book Rating : 4.4/5 (987 download)

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Book Synopsis Handbook of Quantile Regression by : Roger Koenker

Download or read book Handbook of Quantile Regression written by Roger Koenker and published by CRC Press. This book was released on 2017-10-12 with total page 463 pages. Available in PDF, EPUB and Kindle. Book excerpt: Quantile regression constitutes an ensemble of statistical techniques intended to estimate and draw inferences about conditional quantile functions. Median regression, as introduced in the 18th century by Boscovich and Laplace, is a special case. In contrast to conventional mean regression that minimizes sums of squared residuals, median regression minimizes sums of absolute residuals; quantile regression simply replaces symmetric absolute loss by asymmetric linear loss. Since its introduction in the 1970's by Koenker and Bassett, quantile regression has been gradually extended to a wide variety of data analytic settings including time series, survival analysis, and longitudinal data. By focusing attention on local slices of the conditional distribution of response variables it is capable of providing a more complete, more nuanced view of heterogeneous covariate effects. Applications of quantile regression can now be found throughout the sciences, including astrophysics, chemistry, ecology, economics, finance, genomics, medicine, and meteorology. Software for quantile regression is now widely available in all the major statistical computing environments. The objective of this volume is to provide a comprehensive review of recent developments of quantile regression methodology illustrating its applicability in a wide range of scientific settings. The intended audience of the volume is researchers and graduate students across a diverse set of disciplines.

The Econometrics of Multi-dimensional Panels

Author : Laszlo Matyas
Publisher : Springer
ISBN 13 : 3319607839
Total Pages : 467 pages
Book Rating : 4.3/5 (196 download)

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Book Synopsis The Econometrics of Multi-dimensional Panels by : Laszlo Matyas

Download or read book The Econometrics of Multi-dimensional Panels written by Laszlo Matyas and published by Springer. This book was released on 2017-07-26 with total page 467 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents the econometric foundations and applications of multi-dimensional panels, including modern methods of big data analysis. The last two decades or so, the use of panel data has become a standard in many areas of economic analysis. The available models formulations became more complex, the estimation and hypothesis testing methods more sophisticated. The interaction between economics and econometrics resulted in a huge publication output, deepening and widening immensely our knowledge and understanding in both. The traditional panel data, by nature, are two-dimensional. Lately, however, as part of the big data revolution, there has been a rapid emergence of three, four and even higher dimensional panel data sets. These have started to be used to study the flow of goods, capital, and services, but also some other economic phenomena that can be better understood in higher dimensions. Oddly, applications rushed ahead of theory in this field. This book is aimed at filling this widening gap. The first theoretical part of the volume is providing the econometric foundations to deal with these new high-dimensional panel data sets. It not only synthesizes our current knowledge, but mostly, presents new research results. The second empirical part of the book provides insight into the most relevant applications in this area. These chapters are a mixture of surveys and new results, always focusing on the econometric problems and feasible solutions.

Quantile Regression

Author : I. Gusti Ngurah Agung
Publisher : John Wiley & Sons
ISBN 13 : 1119715172
Total Pages : 500 pages
Book Rating : 4.1/5 (197 download)

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Book Synopsis Quantile Regression by : I. Gusti Ngurah Agung

Download or read book Quantile Regression written by I. Gusti Ngurah Agung and published by John Wiley & Sons. This book was released on 2021-06-21 with total page 500 pages. Available in PDF, EPUB and Kindle. Book excerpt: QUANTILE REGRESSION A thorough presentation of Quantile Regression designed to help readers obtain richer information from data analyses The conditional least-square or mean-regression (MR) analysis is the quantitative research method used to model and analyze the relationships between a dependent variable and one or more independent variables, where each equation estimation of a regression can give only a single regression function or fitted values variable. As an advanced mean regression analysis, each estimation equation of the mean-regression can be used directly to estimate the conditional quantile regression (QR), which can quickly present the statistical results of a set nine QR(τ)s for τ(tau)s from 0.1 up to 0.9 to predict detail distribution of the response or criterion variable. QR is an important analytical tool in many disciplines such as statistics, econometrics, ecology, healthcare, and engineering. Quantile Regression: Applications on Experimental and Cross Section Data Using EViews provides examples of statistical results of various QR analyses based on experimental and cross section data of a variety of regression models. The author covers the applications of one-way, two-way, and n-way ANOVA quantile regressions, QRs with multi numerical predictors, heterogeneous QRs, and latent variables QRs, amongst others. Throughout the text, readers learn how to develop the best possible quantile regressions and how to conduct more advanced analysis using methods such as the quantile process, the Wald test, the redundant variables test, residual analysis, the stability test, and the omitted variables test. This rigorous volume: Describes how QR can provide a more detailed picture of the relationships between independent variables and the quantiles of the criterion variable, by using the least-square regression Presents the applications of the test for any quantile of any numerical response or criterion variable Explores relationship of QR with heterogeneity: how an independent variable affects a dependent variable Offers expert guidance on forecasting and how to draw the best conclusions from the results obtained Provides a step-by-step estimation method and guide to enable readers to conduct QR analysis using their own data sets Includes a detailed comparison of conditional QR and conditional mean regression Quantile Regression: Applications on Experimental and Cross Section Data Using EViews is a highly useful resource for students and lecturers in statistics, data analysis, econometrics, engineering, ecology, and healthcare, particularly those specializing in regression and quantitative data analysis.

Quantile Regression for Panel Data

Author : Carlos Eduardo Lamarche
Publisher :
ISBN 13 : 9780542989278
Total Pages : 278 pages
Book Rating : 4.9/5 (892 download)

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Book Synopsis Quantile Regression for Panel Data by : Carlos Eduardo Lamarche

Download or read book Quantile Regression for Panel Data written by Carlos Eduardo Lamarche and published by . This book was released on 2006 with total page 278 pages. Available in PDF, EPUB and Kindle. Book excerpt: Chapter 2 develops a fixed effects quantile regression application. Rouse (1998) analysis of the Milwaukee Parental Choice program suggests that students selected to attend the choice school had a positive linear gain in mathematics. We show that students' gains are more subtle in nature. Remarkably, while high attainment students had a positive, convexly increasing gain in mathematics, lower attainment students were actually adversely affected over time. However, the evidence suggests that the program prevented weak students from having an even bigger loss experienced by students in the comparison group.

Unconditional Quantile Regression for Panel Data with Exogenous Or Endogenous Regressors

Author : David Powell
Publisher :
ISBN 13 :
Total Pages : 0 pages
Book Rating : 4.:/5 (137 download)

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Book Synopsis Unconditional Quantile Regression for Panel Data with Exogenous Or Endogenous Regressors by : David Powell

Download or read book Unconditional Quantile Regression for Panel Data with Exogenous Or Endogenous Regressors written by David Powell and published by . This book was released on 2010 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Unconditional quantile treatment effects are difficult to estimate in the presence of fixed effects. Panel data are frequently used because fixed effects or differences are necessary to identify the parameters of interest. The inclusion of fixed effects or differencing of data, however, redefines the quantiles. This paper introduces a quantile estimator for panel data which conditions on fixed effects for identification but allows the parameters of interest to be interpreted in the same manner as cross-sectional quantile estimates. The quantile treatment effects are unconditional in the fixed effect but identification originates from differences in the covariates or instruments. The fixed effects are never estimated and the estimator is consistent for small T.

Panel Data Econometrics

Author : Mike Tsionas
Publisher : Academic Press
ISBN 13 : 0128158603
Total Pages : 1011 pages
Book Rating : 4.1/5 (281 download)

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Book Synopsis Panel Data Econometrics by : Mike Tsionas

Download or read book Panel Data Econometrics written by Mike Tsionas and published by Academic Press. This book was released on 2019-06-20 with total page 1011 pages. Available in PDF, EPUB and Kindle. Book excerpt: Panel Data Econometrics: Empirical Applications introduces econometric modelling. Written by experts from diverse disciplines, the volume uses longitudinal datasets to illuminate applications for a variety of fields, such as banking, financial markets, tourism and transportation, auctions, and experimental economics. Contributors emphasize techniques and applications, and they accompany their explanations with case studies, empirical exercises and supplementary code in R. They also address panel data analysis in the context of productivity and efficiency analysis, where some of the most interesting applications and advancements have recently been made. Provides a vast array of empirical applications useful to practitioners from different application environments Accompanied by extensive case studies and empirical exercises Includes empirical chapters accompanied by supplementary code in R, helping researchers replicate findings Represents an accessible resource for diverse industries, including health, transportation, tourism, economic growth, and banking, where researchers are not always econometrics experts

Quantile Regression for Cross-Sectional and Time Series Data

Author : Jorge M. Uribe
Publisher : Springer Nature
ISBN 13 : 3030445046
Total Pages : 63 pages
Book Rating : 4.0/5 (34 download)

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Book Synopsis Quantile Regression for Cross-Sectional and Time Series Data by : Jorge M. Uribe

Download or read book Quantile Regression for Cross-Sectional and Time Series Data written by Jorge M. Uribe and published by Springer Nature. This book was released on 2020-03-30 with total page 63 pages. Available in PDF, EPUB and Kindle. Book excerpt: This brief addresses the estimation of quantile regression models from a practical perspective, which will support researchers who need to use conditional quantile regression to measure economic relationships among a set of variables. It will also benefit students using the methodology for the first time, and practitioners at private or public organizations who are interested in modeling different fragments of the conditional distribution of a given variable. The book pursues a practical approach with reference to energy markets, helping readers learn the main features of the technique more quickly. Emphasis is placed on the implementation details and the correct interpretation of the quantile regression coefficients rather than on the technicalities of the method, unlike the approach used in the majority of the literature. All applications are illustrated with R.

Quantile Regression

Author : Cristina Davino
Publisher : John Wiley & Sons
ISBN 13 : 1118752716
Total Pages : 288 pages
Book Rating : 4.1/5 (187 download)

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Book Synopsis Quantile Regression by : Cristina Davino

Download or read book Quantile Regression written by Cristina Davino and published by John Wiley & Sons. This book was released on 2013-10-24 with total page 288 pages. Available in PDF, EPUB and Kindle. Book excerpt: A guide to the implementation and interpretation of Quantile Regression models This book explores the theory and numerous applications of quantile regression, offering empirical data analysis as well as the software tools to implement the methods. The main focus of this book is to provide the reader with a comprehensive description of the main issues concerning quantile regression; these include basic modeling, geometrical interpretation, estimation and inference for quantile regression, as well as issues on validity of the model, diagnostic tools. Each methodological aspect is explored and followed by applications using real data. Quantile Regression: Presents a complete treatment of quantile regression methods, including, estimation, inference issues and application of methods. Delivers a balance between methodolgy and application Offers an overview of the recent developments in the quantile regression framework and why to use quantile regression in a variety of areas such as economics, finance and computing. Features a supporting website (www.wiley.com/go/quantile_regression) hosting datasets along with R, Stata and SAS software code. Researchers and PhD students in the field of statistics, economics, econometrics, social and environmental science and chemistry will benefit from this book.

Quantile Regression with Smoothing Splines

Author : Ronald J. Bosch
Publisher :
ISBN 13 :
Total Pages : 98 pages
Book Rating : 4.:/5 (39 download)

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Book Synopsis Quantile Regression with Smoothing Splines by : Ronald J. Bosch

Download or read book Quantile Regression with Smoothing Splines written by Ronald J. Bosch and published by . This book was released on 1993 with total page 98 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Smoothed Empirical Likelihood Methods for Quantile Regression Models

Author : Yoon-Jae Whang
Publisher :
ISBN 13 :
Total Pages : 40 pages
Book Rating : 4.:/5 (249 download)

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Book Synopsis Smoothed Empirical Likelihood Methods for Quantile Regression Models by : Yoon-Jae Whang

Download or read book Smoothed Empirical Likelihood Methods for Quantile Regression Models written by Yoon-Jae Whang and published by . This book was released on 2004 with total page 40 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Local Composite Quantile Regression Smoothing

Author : Xiao Huang
Publisher :
ISBN 13 :
Total Pages : 20 pages
Book Rating : 4.:/5 (13 download)

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Book Synopsis Local Composite Quantile Regression Smoothing by : Xiao Huang

Download or read book Local Composite Quantile Regression Smoothing written by Xiao Huang and published by . This book was released on 2019 with total page 20 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this paper, we study the local composite quantile regression estimator for mixed categorical and continuous data. The local composite quantile estimator is an efficient and safe alternative to the local polynomial method and has been well-studied for continuous covariates. Generalization of the local composite quantile regression estimator to a flexible data structure is appealing to practitioners as empirical studies often encounter categorical data. Furthermore, we study the theoretical properties of the cross-validated bandwidth selection for the local composite quantile estimator. Under mild conditions, we derive the rates of convergence of the cross-validated smoothing parameters to their optimal benchmark values for both categorical and continuous covariates. Monte Carlo experiments show that the proposed estimator may have large efficiency gains compared to the local linear estimator. Furthermore, we illustrate the robustness of the local composite quantile estimator using the Boston housing dataset.

Essays on Quantile Regression for Dynamic Panel Data Models

Author :
Publisher :
ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (931 download)

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Book Synopsis Essays on Quantile Regression for Dynamic Panel Data Models by :

Download or read book Essays on Quantile Regression for Dynamic Panel Data Models written by and published by . This book was released on 2009 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Smoothing Approaches in Regression

Author : Baisen Liu
Publisher :
ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (128 download)

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Book Synopsis Smoothing Approaches in Regression by : Baisen Liu

Download or read book Smoothing Approaches in Regression written by Baisen Liu and published by . This book was released on 2008 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: "This dissertation concerns the estimation of unknown smooth functions in semi-parametric regression models using smoothing approaches given longitudinal data or survival data. In Chapter 1, we review the research in the literature on smoothing and regressions. We also review quantile regression and survival analysis. In Chapter 2, we propose a class of semi-parametric quantile regression models for longitudinal data from the Bayesian point of view. We also provide an estimating procedure which is implemented in the standard software WinBUGS. In Chapter 3, we study semi-parametric quantile regression models for longitudinal data with nonignorably missing covariates. In longitudinal data, it may happen that data are often missing and the missingness mechanism depends on the missing data (then said to be nonignorable). Our proposed estimating procedure can be conveniently implemented in WinBUGS. In Chapter 4, we propose a class of partly linear transformation models, which includes the proportional hazards model and the proportional odds model as special cases, for survival data. We also suggest two estimating procedures based on local polynomial smoothing and penalized smoothing splines. Our estimating procedures are demonstrated through some simulations and real examples. Chapter 5 concerns interval censored data. This type of data commonly arises in clinical trials and medical studies. The proportional hazards model and the proportional odds model are two popular models used in literature. We study a more flexible survival model via doubly penalized smoothing splines. Our proposed model allows some covariates to have nonlinear effects on the survival function of failure time. Finally, Chapter 6 summarizes our work and addresses some aspects which remain to be completed."--

Topics in Identification, Limited Dependent Variables, Partial Observability, Experimentation, and Flexible Modeling

Author : Ivan Jeliazkov
Publisher : Emerald Group Publishing
ISBN 13 : 1838674217
Total Pages : 252 pages
Book Rating : 4.8/5 (386 download)

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Book Synopsis Topics in Identification, Limited Dependent Variables, Partial Observability, Experimentation, and Flexible Modeling by : Ivan Jeliazkov

Download or read book Topics in Identification, Limited Dependent Variables, Partial Observability, Experimentation, and Flexible Modeling written by Ivan Jeliazkov and published by Emerald Group Publishing. This book was released on 2019-10-18 with total page 252 pages. Available in PDF, EPUB and Kindle. Book excerpt: Volume 40B of Advances in Econometrics examines innovations in stochastic frontier analysis, nonparametric and semiparametric modeling and estimation, A/B experiments, big-data analysis, and quantile regression.