Margaret Lewis

Applied Statistics for Economists

• Broschiertes Buch

Produktbeschreibung

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.

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Produktdetails

• Verlag: Routledge
• Seitenzahl: 474
• Erscheinungstermin: 22. September 2011
• Englisch
• Abmessung: 246mm x 174mm x 25mm
• Gewicht: 837g
• ISBN-13: 9780415554688
• ISBN-10: 0415554683
• Artikelnr.: 33129277

Autorenporträt

Margaret Lewis is Professor of Economics at the College of Saint Benedict/Saint John's University, Minnesota, USA..

Inhaltsangabe

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