Applied Statistics for Economists
1st Edition
Published on 22. September 2011
Book
Hardback
446 pages
978-0-415-77798-8 (ISBN)
Description
This book is an undergraduate text that introduces students to commonly used statistical methods in economics. Using examples based on contemporary economic issues and readily available data, it not only explains the mechanics of the various methods, but also guides students to connect statistical results to detailed economic interpretations. Because the goal is for students to be able to apply the statistical methods presented, online sources for economic data and directions for performing each task in Excel are also included.
More details
Language
English
Place of publication
London
United Kingdom
Publishing group
Taylor & Francis Ltd
Target group
College/higher education
Illustrations
116 s/w Tabellen, 98 s/w Abbildungen, 98 s/w Zeichnungen
116 Tables, black and white; 98 Line drawings, black and white; 98 Illustrations, black and white
Dimensions
Height: 246 mm
Width: 174 mm
Weight
1030 gr
ISBN-13
978-0-415-77798-8 (9780415777988)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions
Margaret Lewis
Applied Statistics for Economists
Book
09/2011
1st Edition
Routledge
€109.50
Shipment within 15-20 days
Person
Margaret Lewis is Professor of Economics at the College of Saint Benedict/Saint John's University, Minnesota, USA..
Content
Preface Part 1: Descriptive Statistics of an Economic Variable 1. The Role of Statistics in Economics 2. Visual Presentations of Economic Data 3. Observations and Frequency Distribution 4. Measures of Central Tendency 5. Measures of Dispersion Part 2. Temporal Descriptive Statistics: Change Over Time 6. Measuring Changes in Prices and Quantity 7. Descriptions of Stability: Short-Run Changes 8. Patterns of Long-Term Change Part 3: Statistical Inferences about a Single Variable 9. Basic Concepts in Statistical Inference 10. Statistical Estimation 11. Statistical Hypothesis Testing of a Mean Part 4: Relationships between Two Variables: Descriptions and Statistical Inference 12. Correlation Analysis 13. Simple Linear Regression, Descriptive Measures 14. Simple Regression Analysis: Statistical Inference 15. Simple Regression Analysis: Variable Scales and Functional Forms Part 5: Relationships between Multiple Variables: Description and Statistical Inferences 16. Multiple Regression Analysis: Descriptive Measures 17. Multiple Regression Analysis: Hypothesis Tests for Partial Regression Coefficients and Overall Goodness of Fit 18. Multiple Regression Analysis: Dummy Variables and Statistical Problems