The Best Econometrics Books 2025

1. Mastering 'Metrics: The Path from Cause to Effect, Pre-Owned (Paperback)

Pre-Owned - An accessible and fun guide to the essential tools of econometric research Applied econometrics, known to aficionados as 'metrics, is the original data science. 'Metrics encompasses the statistical methods economists use to untangle cause and effect in human affairs. Through accessible discussion and with a dose of kung fu-themed humor, Mastering 'Metrics presents the essential tools of econometric research and demonstrates why econometrics is exciting and useful. The five most valuable econometric methods, or what the authors call the Furious Five--random assignment, regression, instrumental variables, regression discontinuity designs, and differences in differences--are illustrated through well-crafted real-world examples (vetted for awesomeness by Kung Fu Panda's Jade Palace). Does health insurance make you healthier? Randomized experiments provide answers. Are expensive private colleges and selective public high schools better than more pedestrian institutions? Regression analysis and a regression discontinuity design reveal the surprising truth. When private banks teeter, and depositors take their money and run, should central banks step in to save them? Differences-in-differences analysis of a Depression-era banking crisis offers a response. Could arresting O. J. Simpson have saved his ex-wife's life? Instrumental variables methods instruct law enforcement authorities in how best to respond to domestic abuse. Wielding econometric tools with skill and confidence, Mastering 'Metrics uses data and statistics to illuminate the path from cause to effect. Shows why econometrics is important Explains econometric research through humorous and accessible discussion Outlines empirical methods central to modern econometric practice Works through interesting and relevant real-world examples

Mastering 'Metrics: The Path from Cause to Effect, Pre-Owned (Paperback)

2. Introduction to Econometrics (Addison-Wesley Series in Economics), Pre-Owned (Hardcover)

Pre-Owned -

Introduction to Econometrics (Addison-Wesley Series in Economics), Pre-Owned (Hardcover)

3. Bayesian Econometrics, Used [Paperback]

Researchers in many fields are increasingly finding the Bayesian approach to statistics to be an attractive one. This book introduces the reader to the use of Bayesian methods in the field of econometrics at the advanced undergraduate or graduate level. The book is self-contained and does not require that readers have previous training in econometrics. The focus is on models used by applied economists and the computational techniques necessary to implement Bayesian methods when doing empirical work. Topics covered in the book include the regression model (and variants applicable for use with panel data), time series models, models for qualitative or censored data, nonparametric methods and Bayesian model averaging. The book includes numerous empirical examples and the website associated with it contains data sets and computer programs to help the student develop the computational skills of modern Bayesian econometrics.

Bayesian Econometrics, Used [Paperback]

4. A Guide to Econometrics, Used [Paperback]

A Guide to Econometrics has established itself as a preferred text for teachers and students throughout the world. It provides an overview of the subject and an intuitive feel for its concepts and techniques without the notation and technical detail that characterize most econometrics textbooks. The fifth edition has two major additions, a chapter on panel data and an innovative chapter on applied econometrics. Existing chapters have been revised and updated extensively, particularly the specification chapter (to coordinate with the applied econometrics chapter), the qualitative dependent variables chapter (to better explain the difference between multinomial and conditional logit), the limited dependent variables chapter (to provide a better interpretation of Tobit estimation), and the time series chapter (to incorporate the vector autoregression discussion from the simultaneous equations chapter and to explain more fully estimation of vector error correction models). Several new exercises have been added, some of which form new sections on bootstrapping and on applied econometrics. This edition is for sale in all of the Americas, the West Indies, and U.S. dependencies only.

A Guide to Econometrics, Used [Paperback]

5. Using Econometrics : A Practical Guide, Used [Hardcover]

A thorough and beginner-friendly introduction to econometrics. " Using Econometrics: A Practical Guide "provides readers with a practical introduction that combines single-equation linear regression analysis with real-world examples and exercises. This text also avoids complex matrix algebra and calculus, making it an ideal text for beginners. New problem sets and added support make "Using Econometrics" modern and easier to use."

Using Econometrics : A Practical Guide, Used [Hardcover]

6. Seasonality : Systems, Strategies, and Signals, Used [Hardcover]

a groundbreaking look at trading the markets with one of the most important forecasting tools available . . . "If you've ever wondered about the validity of seasonals or how to trade them, buy this book now " --Glen Larson, Genesis Data Services "Jake does it again. This time his extensive research really leaps out as he makes seasonal trading easy to understand and a very useful tool for any commodity trader." --Jeffrey H. Fox, Fox Investments. Is there a "holy grail" of price prediction? Traders have long been in pursuit of one, and while a handful of strategies, techniques, and methodologies have proven noteworthy, the search continues for the ultimate forecasting instrument --if one does indeed exist. The theory and methods of seasonality may well prove to be a step in the right direction to this goal. In this unique new book, a leading seasonal trading analyst examines seasonality in-depth, elucidating the concise principles, numerous advantages, and enormous potential that make it one of the most important --and effective --methods currently available for targeting futures price trends. Over the years, considerable attention has been paid to the effects of interest rates, money supply, earnings, inflation, and other key factors on stock and commodity prices. Yet, the immense impact of seasonal price tendencies has been either grossly underestimated or completely ignored. Often overlooked, but equally significant, seasonality is based on the assumption that seasonal influences cause biases in the movement of market prices. Among its many advantages, seasonality allows the trader to formulate objective decisions founded on a logical, verifiable, and operational methodology, creating a backdrop of probable market trends in most time frames and in most markets, and providing historically valid input for use as an adjunct to other analytical methods and timing indicators. The essence of seasonality is found in its lengthy history and statistically testable methodologies. However, seasonal correlations are not 100 percent foolproof. Using seasonal data to time the market involves an unavoidable degree of subjectivity --unless you have a firm grasp of seasonal timing concepts and techniques. Now, in the first resource devoted exclusively to the subject, Jake Bernstein gives you the foundation necessary to implement this powerful tool effectively and with confidence. Balancing theory and practice, Bernstein provides a thorough, real-world understanding of seasonal timing concepts and techniques. Along with results of his own extensive research, he integrates the work of numerous market analysts, such as W. D. Gann, Art Merrill, Burton Pugh, Samuel Benner, and Yale Hirsch, among others, to create a pragmatic and highly functional analytical framework. With his accessible, comprehensive coverage of significant concepts such as seasonal spread relationships, key dates, and cash tendencies, you'll be able to discern seasonal patterns in monthly and daily cash and futures data. Once the basics are firmly in place, Bernstein leads you step by step through the essential process of formulating a seasonal trading program that incorporates important timing strategies and risk management tools. An ideal overview for any trader, investor, or analyst, this lucidly written and clearly organized resource emphasizes the validity and significance of seasonality. Jake Bernstein has compiled a comprehensive guide to the effective use of seasonal concepts and methods in the futures markets. This is a major work that belongs on the shelves of all serious traders.

Seasonality : Systems, Strategies, and Signals, Used [Hardcover]

7. Co-Integration, Error Correction, and the Econometric Analysis of Non-Stationary Data, Used [Hardcover]

This book is wide-ranging in its account of literature on cointegration and the modelling of integrated processes (those which accumulate the effects of past shocks). Data series which display integrated behavior are common in economics, although techniques appropriate to analyzing such data are relatively new, with few existing expositions of the literature. This book explores relationships among integrated data series and their use in dynamic econometric modelling. The concepts of cointegration and error-correction models are fundamental components of the modelling strategy. This area of time series econometrics has grown in importance over the past decade and is of interest to both econometric theorists and applied econometricians. By explaining the important concepts informally and presenting them formally, the book bridges the gap between purely descriptive and purely theoretical accounts of the literature. The work describes the asymptotic theory of integrated processes and uses the tools provided by this theory to develop the distributions of estimators and test statistics. It emphasizes practical modelling advice and the use of techniques for systems estimation. A knowledge of econometrics, statistics, and matrix algebra at the level of a final-year undergraduate or first-year undergraduate course in econometrics is sufficient for most of the book. Other mathematical tools are described as they occur.

Co-Integration, Error Correction, and the Econometric Analysis of Non-Stationary Data, Used [Hardcover]

8. A Guide to Modern Econometrics, Used [Paperback]

The first edition of 'A Guide to Modern Econometrics' has become established as a successful textbook in a crowded and competitive market. It's focus on exploring alternative techniques, combined with a practical emphasis has been appreciated by many readers. In this new edition, Marno Verbeek has built on the strengths of the first edition and brought the text completely up-to-date. Revisions to this new edition include: Additional full-length illustrations New section on count data models Additional tests including the Chow test for parameter stability More attention paid to robust inference relevant for count data and GARCH intervals

A Guide to Modern Econometrics, Used [Paperback]

9. Econometrics [Paperback - Used]

CONDITION - USED - Pages can include limited notes and highlighting, and the copy can include "From the library of" labels or previous owner inscriptions. Accessories such as CD, codes, toys, may not be included. This textbook teaches some of the basic econometric methods and the underlying assumptions behind them. It also includes a simple and concise treatment of more advanced topics in time-series, spatial correlation, limited dependent variables and panel data models, as well as specification testing, Gauss-Newton regressions and regression diagnostics. Some of the strengths of this book lie in presenting difficult material in a simple, yet rigorous manner. The exercises contain theoretical problems that should supplement the understanding of the material in each chapter. In addition, the book has a set of empirical illustrations demonstrating some of the basic results learned in each chapter. The empirical exercises are solved using several econometric software packages.

Econometrics, Used [Paperback]

10. A Guide to Econometrics, Used [Hardcover]

A Guide to Econometrics has established itself as a preferred text for teachers and students throughout the world. It provides an overview of the subject and an intuitive feel for its concepts and techniques without the notation and technical detail that characterize most econometrics textbooks. The fifth edition has two major additions, a chapter on panel data and an innovative chapter on applied econometrics. Existing chapters have been revised and updated extensively, particularly the specification chapter (to coordinate with the applied econometrics chapter), the qualitative dependent variables chapter (to better explain the difference between multinomial and conditional logit), the limited dependent variables chapter (to provide a better interpretation of Tobit estimation), and the time series chapter (to incorporate the vector autoregression discussion from the simultaneous equations chapter and to explain more fully estimation of vector error correction models). Several new exercises have been added, some of which form new sections on bootstrapping and on applied econometrics. This edition is for sale in all of the Americas, the West Indies, and U.S. dependencies only.

A Guide to Econometrics, Used [Hardcover]