Equip your students with econometrics skills for the real world
Introduction to Data Analysis and Econometrics aims to help students understand the empirical methods and software tools needed in today’s workforce. Assuming no prior knowledge of statistics, this First Edition focuses on developing an intuitive understanding of key concepts via plentiful applications, interactive practice questions, and robust online homework that builds practical problem-solving skills.
Makes econometrics accessible to students of all backgrounds
With a succinct, conversational style and assuming no prior knowledge of statistics, Siegler connects with economics majors and non-majors alike. Students benefit from statistics review and low-stakes, interactive comprehension questions written by the author throughout the Norton Illumine Ebook.
Offers relevant applications and practical guidance for solving problems
With multiple applications per chapter, optional “Using R” boxes, and end-of-chapter problems, this text shows students how they can use econometrics (and software tools) to solve real-world problems in a variety of fields.
Fosters data analysis and programming skills needed for the job market
Econometrics students need to use computer tools to solve complex problems. Our text emphasizes developing experience with code as a marketable skill, with optional “Using R” boxes in each chapter and downloadable data sets for both R and Stata.
Engages students with hands-on problem-solving opportunities
Smartwork online homework offers multiple question types and guides students toward correct solutions with answer-specific feedback and hints. Four questions per chapter offer an embedded R console, which allows students to run various commands in R and see the output to help them answer the questions and build workforce-ready skills.
Mark V. Siegler
Mark V. Siegler brings over 20 years of experience teaching econometrics to a wide range of students across multiple institutions. He wrote this book to make the subject more accessible to students with varied backgrounds and interests, and to prepare them with the empirical methods they’ll need in future careers.
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