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Methods for Estimation and Inference in Modern Econometrics

Methods for Estimation and Inference in Modern Econometrics provides a comprehensive introduction to a wide range of emerging topics, such;

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Methods for Estimation and Inference in Modern Econometrics

Methods for Estimation and Inference in Modern Econometrics provides a comprehensive introduction to a wide range of emerging topics, such;

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Econometric Modeling and Inference

approach by using a small number of estimation techniques, mainly generalized method of moments (GMM) estimation and kernel smoothing. The choice;

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Handbook of Computational Econometrics

of econometric software, and algorithms for control, optimization, and estimation. Each topic is fully introduced before proceeding to a more in-depth;

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Spatial and Spatiotemporal Econometrics

volume in the context of existing literature. New methods for estimation and inference are introduced in this volume and Monte Carlo comparisons;

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Semiparametric and Nonparametric Methods in Econometrics

misleading. Nonparametric and semiparametric statistical methods provide a way to reduce the strength of the assumptions required for estimation and;

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Econometric Modeling and Inference

The aim of this book is to present the main statistical tools of econometrics. It covers almost all modern econometric methodology and;

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Handbook of Econometrics

inference for moment inequalities and estimation of high dimensional models. With its world-class editors and contributors, it succeeds in unifying;

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Handbook Of Applied Econometrics And Statistical Inference

implementation of sample surveys, advances in the theory of Neyman's smooth test, and methods for pre-test and biased estimation. It includes discussions;

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Handbook Of Applied Econometrics And Statistical Inference

implementation of sample surveys, advances in the theory of Neyman's smooth test, and methods for pre-test and biased estimation. It includes discussions;

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Statistics and Econometric Models

of approaches and the extensive coverage of the two volumes provide for a thorough and entirely self-contained course in modern econometrics. Volume 1;

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Statistics and Econometric Models 2 Volume Set

the extensive coverage of the two volumes provide for a thorough and entirely self-contained course in modern econometrics. Volume 1 provides;

Vergelijkbare producten zoals Statistics and Econometric Models 2 Volume Set

Statistics and Econometric Models

of approaches and the extensive coverage of the two volumes provide for a thorough and entirely self-contained course in modern econometrics. Volume 1;

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BI Statistical Methods: Volume I

presents the foundations and the general theory of statistical inference. Volume 2 applies the theory to derive practical methods for analysing;

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Statistical Portfolio Estimation

of investments. This book provides a comprehensive overview of statistical inference for portfolios and their various applications. A variety of asset;

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Statistical Portfolio Estimation

of investments. This book provides a comprehensive overview of statistical inference for portfolios and their various applications. A variety of asset;

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Unit Roots, Cointegration, and Structural Change

unit root testing, estimation of cointegration systems, cointegration tests, and econometric estimation with integrated regressors. The authors;

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Fundamental Statistical Inference

include an intuitive presentation of the (single and double) bootstrap for confidence interval calculations, shrinkage estimation, tail (maximal;

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Pathwise Estimation and Inference for Diffusion Market Models

Pathwise estimation and inference for diffusion market models discusses contemporary techniques for inferring, from options and bond prices;

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Pathwise Estimation and Inference for Diffusion Market Models

Pathwise estimation and inference for diffusion market models discusses contemporary techniques for inferring, from options and bond prices;

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Estimation And Inference In Econometrics

of modern theory and nonlinear techniques of estimation. One theme of the text is the use of artificial regressions for estimation, reference;

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Probability in Economics

Notions of probability and uncertainty have been increasingly prominant in modern economics. This book considers the philosophical and;

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Probability in Economics

Notions of probability and uncertainty have been increasingly prominant in modern economics. This book considers the philosophical and;

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

, adopt Bayesian methods for estimation and inference, although researchers of all persuasions should find considerable interest in the chapters;

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

, adopt Bayesian methods for estimation and inference, although researchers of all persuasions should find considerable interest in the chapters;

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Regression Discontinuity Designs

The Regression Discontinuity (RD) design is one of the most popular and credible research designs for program evaluation and causal;

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Using Stata for Principles of Econometrics

apply the principles of econometrics. Readers will learn how to apply basic econometric tools and the Stata software to estimation, inference;

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