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Econometric Analysis Of Cross Section And Panel Data

Author: Jeffrey M Wooldridge
Publisher: MIT Press
ISBN: 0262232588
Size: 37.43 MB
Format: PDF
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Introduction -- Conditional expectations and related concepts in econometrics -- Basic asymptotic theory -- Single-equation linear model and ordinary least squares estimation -- Instrumental variables estimation of single-equation linear models -- Additional single-equation topics -- Estimating systems of equations by ordinary least squares and generalized least squares -- System estimation by instrumental variables -- Simultaneous equations models -- Basic linear unobserved effects panel data models -- More topics in linear unobserved effects models -- M-estimation, nonlinear regression, and quantile regression -- Maximum likelihood methods -- Generalized method of moments and minimum distance estimation -- Binary response models -- Multinomial and ordered response models -- Corner solution responses -- Count, fractional, and other nonnegative responses -- Censored data, sample selection, and attrition -- Stratified sampling and cluster sampling -- Estimating average treatment effects -- Duration analysis.

Konometrie F R Dummies

Author: Roberto Pedace
Publisher: John Wiley & Sons
ISBN: 3527801529
Size: 41.70 MB
Format: PDF
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?konometrie; nicht nur der Begriff ist etwas sperrig, auch die Inhalte erschlie?en sich nicht jedem sofort. Wichtig und interessant ist sie aber trotzdem. Roberto Pedace erkl?rt Ihnen, worum es in der ?konometrie geht, wie Sie Test-Hypothesen aufstellen und vieles mehr. Er erl?utert, wie Sie mit Regressionsmodellen arbeiten und mit diskreten und abh?ngigen Variablen umgehen. Gegen Ende des Buches geht er ?ber die Basismodelle hinaus und f?hrt Sie in statische und dynamische Modelle sowie die Kunst der Vorhersagen ein.

Econometric Analysis Of Panel Data

Author: Badi Baltagi
Publisher: John Wiley & Sons
ISBN: 0470518863
Size: 76.21 MB
Format: PDF, Kindle
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Written by one of the world's leading researchers and writers in the field, Econometric Analysis of Panel Data has become established as the leading textbook for postgraduate courses in panel data. This new edition reflects the rapid developments in the field covering the vast research that has been conducted on panel data since its initial publication. Featuring the most recent empirical examples from panel data literature, data sets are also provided as well as the programs to implement the estimation and testing procedures described in the book. These programs will be made available via an accompanying website which will also contain solutions to end of chapter exercises that will appear in the book. The text has been fully updated with new material on dynamic panel data models and recent results on non-linear panel models and in particular work on limited dependent variables panel data models.

Longitudinal And Panel Data

Author: Edward W. Frees
Publisher: Cambridge University Press
ISBN: 9780521535380
Size: 51.88 MB
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An introduction to foundations and applications for quantitatively oriented graduate social-science students and individual researchers.

The Oxford Handbook Of Panel Data

Author: Badi Hani Baltagi
Publisher: Oxford Handbooks
ISBN: 0199940045
Size: 77.73 MB
Format: PDF, ePub, Mobi
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Panel data econometrics has evolved rapidly over the past three decades. The field is of both theoretical and practical importance, and methods to deal with micro- and macroeconomic panel data are in high demand from practitioners. Applications in finance, development, trade, marketing, health, labor, and consumer economics attest to the usefulness of these methods in applied economics. THis book is a comprehensive source on panel data. It contains 20 chapters edited by Professor Badi Baltagi--one of the leading econometricians in the area of panel data econometrics--and authored by renowned experts in the field. The chapters are divided into two sections. Part I examines new developments in theory. It includes panel cointegration, dynamic panel data models, incidental parameters and dynamic panel modeling, and panel data models for discrete choice. The chapters in Part II target applications of panel data, including health, labor, marketing, trade, productivity and macro applications in panels.

Ownership And Control Of Oil

Author: Bianca Sarbu
Publisher: Routledge
ISBN: 1317695437
Size: 30.96 MB
Format: PDF, ePub
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Ownership and Control of Oil examines government decisions about how much control to exert over the petroleum industry, focusing on the role of National Oil Companies in the production of crude oil since the nationalizations in the 1970s. What are the motives for which some producing states opt for less and NOT more control of their oil production sector? When can International Oil Companies enter the upstream industry of producing states and under what conditions? The diversity of policy choices across producers provides the stage for this investigation: different theoretical explanations are confronted, with the empirical evidence, with the aim of finally proposing an interdisciplinary framework of analysis to explain who controls oil production around the world. This book is intended for both specialists and general readers who have an interest in the issue of government control of the petroleum industry. Due to its multidisciplinary approach, the book is aimed at a large academic public composed of scholars of Political Science, International Political Economy, Comparative Politics, and Middle East Area Studies. Moreover, this book should be relevant to international consultants, industry professionals and decision-makers in countries assessing their experience with existing control structures as well as the many countries in the process of joining the ‘petroleum club’ of oil producing nations.

Nonparametric Econometrics

Author: Qi Li
Publisher: Princeton University Press
ISBN: 1400841062
Size: 54.93 MB
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Until now, students and researchers in nonparametric and semiparametric statistics and econometrics have had to turn to the latest journal articles to keep pace with these emerging methods of economic analysis. Nonparametric Econometrics fills a major gap by gathering together the most up-to-date theory and techniques and presenting them in a remarkably straightforward and accessible format. The empirical tests, data, and exercises included in this textbook help make it the ideal introduction for graduate students and an indispensable resource for researchers. Nonparametric and semiparametric methods have attracted a great deal of attention from statisticians in recent decades. While the majority of existing books on the subject operate from the presumption that the underlying data is strictly continuous in nature, more often than not social scientists deal with categorical data--nominal and ordinal--in applied settings. The conventional nonparametric approach to dealing with the presence of discrete variables is acknowledged to be unsatisfactory. This book is tailored to the needs of applied econometricians and social scientists. Qi Li and Jeffrey Racine emphasize nonparametric techniques suited to the rich array of data types--continuous, nominal, and ordinal--within one coherent framework. They also emphasize the properties of nonparametric estimators in the presence of potentially irrelevant variables. Nonparametric Econometrics covers all the material necessary to understand and apply nonparametric methods for real-world problems.

Causal Inference For Statistics Social And Biomedical Sciences

Author: Guido W. Imbens
Publisher: Cambridge University Press
ISBN: 1316094391
Size: 71.93 MB
Format: PDF, ePub
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Most questions in social and biomedical sciences are causal in nature: what would happen to individuals, or to groups, if part of their environment were changed? In this groundbreaking text, two world-renowned experts present statistical methods for studying such questions. This book starts with the notion of potential outcomes, each corresponding to the outcome that would be realized if a subject were exposed to a particular treatment or regime. In this approach, causal effects are comparisons of such potential outcomes. The fundamental problem of causal inference is that we can only observe one of the potential outcomes for a particular subject. The authors discuss how randomized experiments allow us to assess causal effects and then turn to observational studies. They lay out the assumptions needed for causal inference and describe the leading analysis methods, including matching, propensity-score methods, and instrumental variables. Many detailed applications are included, with special focus on practical aspects for the empirical researcher.

Internet Econometrics

Author: S. Allegrezza
Publisher: Springer
ISBN: 0230364225
Size: 14.94 MB
Format: PDF, ePub, Mobi
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The proliferation of the internet has often been referred to as the fourth technological revolution. This book explores the diffusion of radical new communication technologies, and the subsequent transformation not only of products, but also of the organisation of production and business methods.