Using Stata for Principles of Econometrics
Title | Using Stata for Principles of Econometrics PDF eBook |
Author | Lee C. Adkins |
Publisher | John Wiley & Sons |
Pages | 629 |
Release | 2011-10-18 |
Genre | Business & Economics |
ISBN | 111803208X |
This is the Using Stata text for Principles of Econometrics, 4th Edition. Principles of Econometrics is an introductory book for undergraduate students in economics and finance, and can be used for MBA and first-year graduate students in many fields. The 4th Edition provides students with an understanding of why econometrics is necessary and a working knowledge of basic econometric tools. This text emphasizes motivation, understanding and implementation by introducing very simple economic models and asking economic questions that students can answer.
Using Stata for Principles of Econometrics
Title | Using Stata for Principles of Econometrics PDF eBook |
Author | Lee C. Adkins |
Publisher | Wiley |
Pages | |
Release | 2015-11-23 |
Genre | Business & Economics |
ISBN | 9781118469873 |
Using Stata for Principles of Econometrics is a cutting edge text which incorporates the capabilities of Stata software to practically apply the principles of econometrics. Readers will learn how to apply basic econometric tools and the Stata software to estimation, inference and forecasting in the context of real world economic problems. In order to make concepts more accessible, it also offers lucid descriptions of techniques as well as appropriate applications to today's situations. Along the way, readers will find introductions to simple economic models and questions to enhance critical thinking.
Principles of Econometrics
Title | Principles of Econometrics PDF eBook |
Author | R. Carter Hill |
Publisher | |
Pages | |
Release | 2017 |
Genre | BUSINESS & ECONOMICS |
ISBN | 9781119320951 |
Revised edition of the authors' Principles of econometrics, c2011.
Using Excel for Principles of Econometrics
Title | Using Excel for Principles of Econometrics PDF eBook |
Author | Genevieve Briand |
Publisher | John Wiley & Sons |
Pages | 501 |
Release | 2011-06-21 |
Genre | Business & Economics |
ISBN | 1118032101 |
Principles of Econometrics is an introductory book for undergraduate students in economics and finance, and can be used for MBA and first-year graduate students in many fields. The 4th Edition provides students with an understanding of why econometrics is necessary and a working knowledge of basic econometric tools. This text emphasizes motivation, understanding and implementation by introducing very simple economic models and asking economic questions that students can answer.
An Introduction to Modern Econometrics Using Stata
Title | An Introduction to Modern Econometrics Using Stata PDF eBook |
Author | Christopher F. Baum |
Publisher | Stata Press |
Pages | 362 |
Release | 2006-08-17 |
Genre | Business & Economics |
ISBN | 1597180130 |
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 R for Principles of Econometrics
Title | Using R for Principles of Econometrics PDF eBook |
Author | Constantin Colonescu |
Publisher | Lulu.com |
Pages | 278 |
Release | 2017-12-28 |
Genre | Business & Economics |
ISBN | 1387473611 |
This is a beginner's guide to applied econometrics using the free statistics software R. It provides and explains R solutions to most of the examples in 'Principles of Econometrics' by Hill, Griffiths, and Lim, fourth edition. 'Using R for Principles of Econometrics' requires no previous knowledge in econometrics or R programming, but elementary notions of statistics are helpful.
Getting Started with Data Science
Title | Getting Started with Data Science PDF eBook |
Author | Murtaza Haider |
Publisher | IBM Press |
Pages | 942 |
Release | 2015-12-14 |
Genre | Business & Economics |
ISBN | 0133991237 |
Master Data Analytics Hands-On by Solving Fascinating Problems You’ll Actually Enjoy! Harvard Business Review recently called data science “The Sexiest Job of the 21st Century.” It’s not just sexy: For millions of managers, analysts, and students who need to solve real business problems, it’s indispensable. Unfortunately, there’s been nothing easy about learning data science–until now. Getting Started with Data Science takes its inspiration from worldwide best-sellers like Freakonomics and Malcolm Gladwell’s Outliers: It teaches through a powerful narrative packed with unforgettable stories. Murtaza Haider offers informative, jargon-free coverage of basic theory and technique, backed with plenty of vivid examples and hands-on practice opportunities. Everything’s software and platform agnostic, so you can learn data science whether you work with R, Stata, SPSS, or SAS. Best of all, Haider teaches a crucial skillset most data science books ignore: how to tell powerful stories using graphics and tables. Every chapter is built around real research challenges, so you’ll always know why you’re doing what you’re doing. You’ll master data science by answering fascinating questions, such as: • Are religious individuals more or less likely to have extramarital affairs? • Do attractive professors get better teaching evaluations? • Does the higher price of cigarettes deter smoking? • What determines housing prices more: lot size or the number of bedrooms? • How do teenagers and older people differ in the way they use social media? • Who is more likely to use online dating services? • Why do some purchase iPhones and others Blackberry devices? • Does the presence of children influence a family’s spending on alcohol? For each problem, you’ll walk through defining your question and the answers you’ll need; exploring how others have approached similar challenges; selecting your data and methods; generating your statistics; organizing your report; and telling your story. Throughout, the focus is squarely on what matters most: transforming data into insights that are clear, accurate, and can be acted upon.