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Microeconometrics Using Stata

Microeconometrics Using Stata
Author: Adrian Colin Cameron
Publisher:
Total Pages: 0
Release: 2022
Genre: Econometrics
ISBN: 9781597183598

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"Microeconometrics Using Strata, Second Edition is aimed at both students and researchers of economics and related social science. The first volume is intended to be a self-contained treatment that might also be used as an applied econometrics course text. It focuses on the linear regression model and includes instrumental-variables estimation, random- and fixed-effects models, quantile regression, and analytical and bootstrap inference. It additionally provides a brief introduction to nonlinear regression models. The second volume covers models for binary, multinomial, censored, duration, and count outcomes for both cross-sectional and panel datasets. It then covers causal methods for exogenous and endogenous treatment evaluations, spatial regression, semiparametric methods, machine learning for prediction and for causal inference, and Bayesian methods"--Cubierta trasera.


Microeconometrics Using Stata

Microeconometrics Using Stata
Author: Adrian Colin Cameron
Publisher:
Total Pages: 738
Release: 2009
Genre: Business & Economics
ISBN:

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This outstanding introduction to microeconometrics research using Stata offers the most complete and up-to-date survey of methods available. The authors address each topic with an in-depth example and demonstrate how to use Stata's programming features to implement methods for which the application does not have a specific command.


Microeconometrics

Microeconometrics
Author: A. Colin Cameron
Publisher: Cambridge University Press
Total Pages: 1058
Release: 2005-05-09
Genre: Business & Economics
ISBN: 1139444867

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This book provides the most comprehensive treatment to date of microeconometrics, the analysis of individual-level data on the economic behavior of individuals or firms using regression methods for cross section and panel data. The book is oriented to the practitioner. A basic understanding of the linear regression model with matrix algebra is assumed. The text can be used for a microeconometrics course, typically a second-year economics PhD course; for data-oriented applied microeconometrics field courses; and as a reference work for graduate students and applied researchers who wish to fill in gaps in their toolkit. Distinguishing features of the book include emphasis on nonlinear models and robust inference, simulation-based estimation, and problems of complex survey data. The book makes frequent use of numerical examples based on generated data to illustrate the key models and methods. More substantially, it systematically integrates into the text empirical illustrations based on seven large and exceptionally rich data sets.


Applied Microeconometrics Using Stata

Applied Microeconometrics Using Stata
Author: Adrian Colin Cameron
Publisher: Stata Press
Total Pages:
Release: 2008-12-15
Genre: Mathematics
ISBN: 9781597180160

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Covering important topics omitted from basic introductions to Stata, Microeconometrics Using Statashows how to do microeconometric research using Stata. It provides the most complete and up-to-date survey of microeconometric methods available in Stata. After a brief introduction to Stata, the authors present linear regression, simulation, and generalized least squares methods. The section on cross-sectional techniques is complete with up-to-date treatments of instrumental-variables methods for linear models as well as quantile regression methods. The next section covers estimators for the parameters of linear panel-data models. The book explores standard random-effects and fixed-effects methods, along with mixed linear models used in many areas outside of econometrics. After introducing methods for nonlinear regression models, the authors discuss how to code new, nonlinear estimators in Stata. They show how to easily implement new nonlinear estimators. The authors also cover inference using analytical and bootstrap approximations to the distribution of test statistics. The book then contains a section on methods for different nonlinear models, including multinomial, selection, count-data, and nonlinear panel-data models. By combining intuitive introductions and detailed discussions of Stata examples, this bookprovides an invaluable hands-on introduction to microeconometrics.


Handbook of Research Methods and Applications in Empirical Macroeconomics

Handbook of Research Methods and Applications in Empirical Macroeconomics
Author: Nigar Hashimzade
Publisher: Edward Elgar Publishing
Total Pages: 627
Release: 2013-01-01
Genre: Business & Economics
ISBN: 0857931024

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This comprehensive Handbook presents the current state of art in the theory and methodology of macroeconomic data analysis. It is intended as a reference for graduate students and researchers interested in exploring new methodologies, but can also be employed as a graduate text. The Handbook concentrates on the most important issues, models and techniques for research in macroeconomics, and highlights the core methodologies and their empirical application in an accessible manner. Each chapter is largely self-contained, whilst the comprehensive introduction provides an overview of the key statistical concepts and methods. All of the chapters include the essential references for each topic and provide a sound guide for further reading. Topics covered include unit roots, non-linearities and structural breaks, time aggregation, forecasting, the Kalman filter, generalised method of moments, maximum likelihood and Bayesian estimation, vector autoregressive, dynamic stochastic general equilibrium and dynamic panel models. Presenting the most important models and techniques for empirical research, this Handbook will appeal to students, researchers and academics working in empirical macro and econometrics.


Microeconometrics Using Stata

Microeconometrics Using Stata
Author: Adrian Colin Cameron
Publisher:
Total Pages:
Release: 2022
Genre: Econometrics
ISBN: 9781597183635

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Learning Microeconometrics with R

Learning Microeconometrics with R
Author: Christopher P. Adams
Publisher: CRC Press
Total Pages: 399
Release: 2020-12-29
Genre: Business & Economics
ISBN: 1000282384

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Focuses on the assumptions underlying the algorithms rather than their statistical properties Presents cutting-edge analysis of factor models and finite mixture models. Uses a hands-on approach to examine the assumptions made by the models and when the models fail to estimate accurately Utilizes interesting real-world data sets that can be used to analyze important microeconomic problems Introduces R programming concepts throughout the book. Includes appendices that discuss many of the concepts introduced in the book, as well as measures of uncertainty in microeconometrics.


Microeconometrics Using Stata

Microeconometrics Using Stata
Author: Adrian Colin Cameron
Publisher:
Total Pages:
Release: 2022
Genre: Econometrics
ISBN: 9781597183642

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An Introduction to Modern Econometrics Using Stata

An Introduction to Modern Econometrics Using Stata
Author: Christopher F. Baum
Publisher: Stata Press
Total Pages: 362
Release: 2006-08-17
Genre: Business & Economics
ISBN: 1597180130

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Integrating a contemporary approach to econometrics with the powerful computational tools offered by Stata, this introduction illustrates how to apply econometric theories used in modern empirical research using Stata. The author emphasizes the role of method-of-moments estimators, hypothesis testing, and specification analysis and provides practical examples that show how to apply the theories to real data sets. The book first builds familiarity with the basic skills needed to work with econometric data in Stata before delving into the core topics, which range from the multiple linear regression model to instrumental-variables estimation.


Using Stata for Quantitative Analysis

Using Stata for Quantitative Analysis
Author: Kyle C. Longest
Publisher: SAGE Publications
Total Pages: 274
Release: 2014-07-02
Genre: Social Science
ISBN: 1483356647

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Using Stata for Quantitative Analysis, Second Edition offers a brief, but thorough introduction to analyzing data with Stata software. It can be used as a reference for any statistics or methods course across the social, behavioral, and health sciences since these fields share a relatively similar approach to quantitative analysis. In this book, author Kyle Longest teaches the language of Stata from an intuitive perspective, furthering students’ overall retention and allowing a student with no experience in statistical software to work with data in a very short amount of time. The self-teaching style of this book enables novice Stata users to complete a basic quantitative research project from start to finish. The Second Edition covers the use of Stata 13 and can be used on its own or as a supplement to a research methods or statistics textbook.