Microeconometrics

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Release : 2005-05-09
Genre : Business & Economics
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Book Rating : 867/5 ( reviews)

Microeconometrics - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Microeconometrics write by A. Colin Cameron. This book was released on 2005-05-09. Microeconometrics available in PDF, EPUB and Kindle. 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.

Microeconometrics

Download Microeconometrics PDF Online Free

Author :
Release : 2005-05-09
Genre : Business & Economics
Kind :
Book Rating : 053/5 ( reviews)

Microeconometrics - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Microeconometrics write by A. Colin Cameron. This book was released on 2005-05-09. Microeconometrics available in PDF, EPUB and Kindle. The book is oriented to the practitioner.

Learning Microeconometrics with R

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Release : 2020-12-29
Genre : Business & Economics
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Book Rating : 384/5 ( reviews)

Learning Microeconometrics with R - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Learning Microeconometrics with R write by Christopher P. Adams. This book was released on 2020-12-29. Learning Microeconometrics with R available in PDF, EPUB and Kindle. 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.

Financial Microeconometrics

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Release : 2019-11-23
Genre : Business & Economics
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Book Rating : 190/5 ( reviews)

Financial Microeconometrics - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Financial Microeconometrics write by Marek Gruszczyński. This book was released on 2019-11-23. Financial Microeconometrics available in PDF, EPUB and Kindle. This book explores new topics in modern research on empirical corporate finance and applied accounting, especially the econometric analysis of microdata. Dubbed “financial microeconometrics” by the author, this concept unites both methodological and applied approaches. The book examines how quantitative methods can be applied in corporate finance and accounting research in order to predict companies getting into financial distress. Presented in a clear and straightforward manner, it also suggests methods for linking corporate governance to financial performance, and discusses what the determinants of accounting disclosures are. Exploring these questions by way of numerous practical examples, this book is intended for researchers, practitioners and students who are not yet familiar with the variety of approaches available for data analysis and microeconometrics. “This book on financial microeconometrics is an excellent starting point for research in corporate finance and accounting. In my view, the text is positioned between a narrative and a scientific treatise. It is based on a vast amount of literature but is not overloaded with formulae. My appreciation of financial microeconometrics has very much increased. The book is well organized and properly written. I enjoyed reading it.” Wolfgang Marty, Senior Investment Strategist, AgaNola AG

Microeconometrics and MATLAB: An Introduction

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Release : 2016-01-14
Genre : Business & Economics
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Book Rating : 442/5 ( reviews)

Microeconometrics and MATLAB: An Introduction - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Microeconometrics and MATLAB: An Introduction write by Abi Adams. This book was released on 2016-01-14. Microeconometrics and MATLAB: An Introduction available in PDF, EPUB and Kindle. This book is a practical guide for theory-based empirical analysis in economics that guides the reader through the first steps when moving between economic theory and applied research. The book provides a hands-on introduction to some of the techniques that economists use for econometric estimation and shows how to convert a selection of standard and advanced estimators into MATLAB code. The book first provides a brief introduction to MATLAB and its syntax, before moving into microeconometric applications studied in undergraduate and graduate econometrics courses. Along with standard estimation methods such as, for example, Method of Moments, Maximum Likelihood, and constrained optimisation, the book also includes a series of chapters examining more advanced research methods. These include discrete choice, discrete games, dynamic models on a finite and infinite horizon, and semi- and nonparametric methods. In closing, it discusses more advanced features that can be used to optimise use of MATLAB, including parallel computing. Each chapter is structured around a number of worked examples, designed for the reader to tackle as they move through the book. Each chapter ends with a series of readings, questions, and extensions, designed to help the reader on their way to adapting the examples in the book to fit their own research questions.