An Introduction to Econometric Theory : Measure-Theoretic Probability and Statistics with Applications to Economics / A. Ronald Gallant.

Format:

Book

Author/Creator:

Gallant, A. Ronald, author.

Language:

English

Subjects (All):

Econometrics.

Genre:

Electronic books.

Physical Description:

1 online resource (x, 202 pages) : illustrations

Place of Publication:

Princeton, NJ : Princeton University Press, [2018]

Language Note:

In English.

Summary:

Intended primarily to prepare first-year graduate students for their ongoing work in econometrics, economic theory, and finance, this innovative book presents the fundamental concepts of theoretical econometrics, from measure-theoretic probability to statistics. A. Ronald Gallant covers these topics at an introductory level and develops the ideas to the point where they can be applied. He thereby provides the reader not only with a basic grasp of the key empirical tools but with sound intuition as well. In addition to covering the basic tools of empirical work in economics and finance, Gallant devotes particular attention to motivating ideas and presenting them as the solution to practical problems. For example, he presents correlation, regression, and conditional expectation as a means of obtaining the best approximation of one random variable by some function of another. He considers linear, polynomial, and unrestricted functions, and leads the reader to the notion of conditioning on a sigma-algebra as a means for finding the unrestricted solution. The reader thus gains an understanding of the relationships among linear, polynomial, and unrestricted solutions. Proofs of results are presented when the proof itself aids understanding or when the proof technique has practical value. A major text-treatise by one of the leading scholars in this field, An Introduction to Econometric Theory will prove valuable not only to graduate students but also to all economists, statisticians, and finance professionals interested in the ideas and implications of theoretical econometrics.

Contents:

Frontmatter

Contents

Preface

AN INTRODUCTION TO ECONOMETRIC THEORY

Chapter 1 - Probability

Chapter 2 - Random Variables and Expectation

Chapter 3 - Distributions, Transformations, and Moments

Chapter 4 - Convergence Concepts

Chapter 5 - Statistical Inference

Appendix: Distributions

References

Index

Notes:

Includes bibliographical references (p. [197]-198) and index.

Description based on online resource; title from PDF title page (publisher's Web site, viewed 23. Mai 2019)

ISBN:

9780691186238

0691186235

OCLC:

1132226133