James Stock – författare

Learn more about modern Econometrics with this comprehensive introduction to the field, featuring engaging applications and bringing contemporary theories to life.

Introduction to Econometrics, 4th Edition, Global Edition by Stock and Watson is the ultimate introductory guide that connects modern theory with motivating, engaging applications.

The text ensures you get a solid grasp of this challenging subject's theoretical background, building on the philosophy that applications should drive the theory, not the other way around. The latest edition maintains the focus on currency, focusing on empirical analysis and incorporating real-world questions and data by using results directly relevant to the applications.

The text contextualises the study of Econometrics with a comprehensive introduction and review of economics, data, and statistics before proceeding to an extensive regression analysis studying the different variables and regression parameters. With a large data set increasingly used in Economics and related fields, a new chapter dedicated to Big Data will help you learn more about this growing and exciting area.

Sharing a variety of resources and tools to help your understanding and critical thinking of the topics introduced, such as General Interest boxes, or end-of-chapter, and empirical exercises and summaries, this industry-leading text will help you acquire a sophisticated knowledge of this fascinating subject.

Reach every student by pairing this text with Pearson MyLab® Economics

MyLab is the teaching and learning platform that empowers you to reach every student. By combining trusted author content with digital tools and a flexible platform, MyLab® personalises the learning experience and improves results for each student.

If you would like to purchase both the physical text and MyLab Economics search for:

9781292264561 Introduction to Econometrics, 4th Edition, Global Edition with MyLab Economics

Package consists of:

9781292264455 Introduction to Econometrics, 4th Edition, Global Edition 9781292264516 Introduction to Econometrics, 4th Edition, Global Edition MyLab Economics 9780136879787 Introduction to Econometrics, 4th Edition, Global Edition Pearson eText

Pearson MyLab® Economics is not included. Students, if Pearson MyLab Economics is a recommended/mandatory component of the course, please ask your instructor for the correct ISBN. Pearson MyLab® Economics should only be purchased when required by an instructor. Instructors, contact your Pearson representative for more information.

Managing supply chains has become one of the most complex processes that organizations have to implement and manage. In the 16 chapters of Supply Chain Management, logistics, marketing, and operations management concepts, principles, and strategies will be used to explain and illustrate supply chain management in a global context.Supply Chain Management approaches the topic from a managerial perspective, with basic concepts and principles added in when necessary to increase comprehension and understanding. In each chapter, basic supply chain concepts are operationalized in a format that is useful for management decision making. Examples of organizational application of these concepts will be cross-disciplinary.

Learn more about modern Econometrics with this comprehensive introduction to the field, featuring engaging applications and bringing contemporary theories to life.

Introduction to Econometrics, 4th Edition, Global Edition by Stock and Watson is the ultimate introductory guide that connects modern theory with motivating, engaging applications.

The text ensures you get a solid grasp of this challenging subject's theoretical background, building on the philosophy that applications should drive the theory, not the other way around. The latest edition maintains the focus on currency, focusing on empirical analysis and incorporating real-world questions and data by using results directly relevant to the applications.

The text contextualises the study of Econometrics with a comprehensive introduction and review of economics, data, and statistics before proceeding to an extensive regression analysis studying the different variables and regression parameters. With a large data set increasingly used in Economics and related fields, a new chapter dedicated to Big Data will help you learn more about this growing and exciting area.

Sharing a variety of resources and tools to help your understanding and critical thinking of the topics introduced, such as General Interest boxes, or end-of-chapter, and empirical exercises and summaries, this industry-leading text will help you acquire a sophisticated knowledge of this fascinating subject.

Reach every student by pairing this text with Pearson MyLab® Economics

MyLab is the teaching and learning platform that empowers you to reach every student. By combining trusted author content with digital tools and a flexible platform, MyLab® personalises the learning experience and improves results for each student.

If you would like to purchase both the physical text and MyLab Economics search for:

9781292264561 Introduction to Econometrics, 4th Edition, Global Edition with MyLab Economics

Package consists of:

9781292264455 Introduction to Econometrics, 4th Edition, Global Edition 9781292264516 Introduction to Econometrics, 4th Edition, Global Edition MyLab Economics 9780136879787 Introduction to Econometrics, 4th Edition, Global Edition Pearson eText

Pearson MyLab® Economics is not included. Students, if Pearson MyLab Economics is a recommended/mandatory component of the course, please ask your instructor for the correct ISBN. Pearson MyLab® Economics should only be purchased when required by an instructor. Instructors, contact your Pearson representative for more information.

Learn more about modern Econometrics with this comprehensive introduction to the field, featuring engaging applications and bringing contemporary theories to life.

Introduction to Econometrics, 4th Edition, Global Edition by Stock and Watson is the ultimate introductory guide that connects modern theory with motivating, engaging applications.

The text ensures you get a solid grasp of this challenging subject's theoretical background, building on the philosophy that applications should drive the theory, not the other way around. The latest edition maintains the focus on currency, focusing on empirical analysis and incorporating real-world questions and data by using results directly relevant to the applications.

The text contextualises the study of Econometrics with a comprehensive introduction and review of economics, data, and statistics before proceeding to an extensive regression analysis studying the different variables and regression parameters. With a large data set increasingly used in Economics and related fields, a new chapter dedicated to Big Data will help you learn more about this growing and exciting area.

Sharing a variety of resources and tools to help your understanding and critical thinking of the topics introduced, such as General Interest boxes, or end-of-chapter, and empirical exercises and summaries, this industry-leading text will help you acquire a sophisticated knowledge of this fascinating subject.

Reach every student by pairing this text with Pearson MyLab® Economics

MyLab is the teaching and learning platform that empowers you to reach every student. By combining trusted author content with digital tools and a flexible platform, MyLab® personalises the learning experience and improves results for each student.

If you would like to purchase both the physical text and MyLab Economics search for:

9781292264561 Introduction to Econometrics, 4th Edition, Global Edition with MyLab Economics

Package consists of:

9781292264455 Introduction to Econometrics, 4th Edition, Global Edition 9781292264516 Introduction to Econometrics, 4th Edition, Global Edition MyLab Economics 9780136879787 Introduction to Econometrics, 4th Edition, Global Edition Pearson eText

Pearson MyLab® Economics is not included. Students, if Pearson MyLab Economics is a recommended/mandatory component of the course, please ask your instructor for the correct ISBN. Pearson MyLab® Economics should only be purchased when required by an instructor. Instructors, contact your Pearson representative for more information.

Introduction to Econometrics, Global Edition helps students understand how economists use data to answer important questions about the world around them. By combining econometric theory with engaging real-world applications, the text demonstrates how evidence-based analysis can be used to study economic relationships, evaluate policy decisions, and support informed decision-making. The application-driven approach ensures students first understand the economic questions being asked before learning the statistical tools needed to answer them, making econometrics both accessible and relevant.

Designed for introductory econometrics courses, the text develops students' analytical skills through practical examples, empirical research, and hands-on data analysis. Students learn how to assess the reliability of evidence, interpret regression results, and evaluate the strengths and limitations of empirical studies. Coverage extends from foundational regression techniques to modern topics such as big data, machine learning, causal inference, panel data, and time-series forecasting, providing a strong foundation for further study and professional application in economics, business, public policy, and data analytics.

La econometría permite transformar datos en evidencia para responder preguntas importantes sobre economía, negocios y políticas públicas. Introducción a la econometría presenta los fundamentos del análisis econométrico a través de aplicaciones reales y problemas contemporáneos, ayudando a los estudiantes a comprender cómo utilizar los datos para identificar relaciones, evaluar políticas y tomar decisiones fundamentadas. El enfoque combina teoría y práctica para que los conceptos sean relevantes desde el primer momento y estén directamente conectados con situaciones del mundo real.

Con una fuerte orientación hacia la econometría aplicada, esta edición incorpora temas que están transformando la disciplina, como Big Data, aprendizaje automático, análisis de datos de panel, variables instrumentales y métodos modernos de predicción. A través de ejemplos empíricos, estudios reales y actividades prácticas, los estudiantes desarrollan las habilidades analíticas necesarias para interpretar resultados, evaluar evidencia y aplicar técnicas econométricas en contextos económicos, empresariales y de investigación.

Características principales

Aprende econometría a través de aplicaciones reales que muestran cómo los datos ayudan a responder preguntas económicas relevantes. Desarrolla habilidades para interpretar evidencia, evaluar estudios y analizar relaciones causales. Conecta la teoría econométrica con situaciones reales de negocios, economía y políticas públicas. Explora métodos ampliamente utilizados en la práctica profesional y la investigación aplicada. Comprende cómo utilizar regresión múltiple para analizar relaciones complejas entre variables. Descubre cómo Big Data y el aprendizaje automático están ampliando las posibilidades del análisis económico. Analiza experimentos y cuasi experimentos para evaluar programas e intervenciones. Aprende a trabajar con datos de panel y series temporales para estudiar fenómenos económicos dinámicos. Desarrolla habilidades de predicción utilizando grandes conjuntos de datos y técnicas modernas de modelización. Fortalece la capacidad de evaluar críticamente resultados econométricos y comunicar conclusiones basadas en evidencia.

Para quién es

Ideal para estudiantes de economía, finanzas, negocios, políticas públicas y disciplinas afines que desean desarrollar habilidades para analizar datos, evaluar evidencia y tomar decisiones basadas en información cuantitativa.

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La econometría permite transformar datos en evidencia para responder preguntas importantes sobre economía, negocios y políticas públicas. Introducción a la econometría presenta los fundamentos del análisis econométrico a través de aplicaciones reales y problemas contemporáneos, ayudando a los estudiantes a comprender cómo utilizar los datos para identificar relaciones, evaluar políticas y tomar decisiones fundamentadas. El enfoque combina teoría y práctica para que los conceptos sean relevantes desde el primer momento y estén directamente conectados con situaciones del mundo real.

Con una fuerte orientación hacia la econometría aplicada, esta edición incorpora temas que están transformando la disciplina, como Big Data, aprendizaje automático, análisis de datos de panel, variables instrumentales y métodos modernos de predicción. A través de ejemplos empíricos, estudios reales y actividades prácticas, los estudiantes desarrollan las habilidades analíticas necesarias para interpretar resultados, evaluar evidencia y aplicar técnicas econométricas en contextos económicos, empresariales y de investigación.

Características principales

Aprende econometría a través de aplicaciones reales que muestran cómo los datos ayudan a responder preguntas económicas relevantes. Desarrolla habilidades para interpretar evidencia, evaluar estudios y analizar relaciones causales. Conecta la teoría econométrica con situaciones reales de negocios, economía y políticas públicas. Explora métodos ampliamente utilizados en la práctica profesional y la investigación aplicada. Comprende cómo utilizar regresión múltiple para analizar relaciones complejas entre variables. Descubre cómo Big Data y el aprendizaje automático están ampliando las posibilidades del análisis económico. Analiza experimentos y cuasi experimentos para evaluar programas e intervenciones. Aprende a trabajar con datos de panel y series temporales para estudiar fenómenos económicos dinámicos. Desarrolla habilidades de predicción utilizando grandes conjuntos de datos y técnicas modernas de modelización. Fortalece la capacidad de evaluar críticamente resultados econométricos y comunicar conclusiones basadas en evidencia.

Para quién es

Ideal para estudiantes de economía, finanzas, negocios, políticas públicas y disciplinas afines que desean desarrollar habilidades para analizar datos, evaluar evidencia y tomar decisiones basadas en información cuantitativa.