Introductory Econometrics A Modern Approach 8th Edtion offers a practical, data-driven perspective on econometrics. It moves beyond abstract math to show how researchers use techniques like OLS and causal inference to answer real questions in business and policy using cross-section and panel data.
[Xem chi tiết]□ I. THÔNG TIN SẢN PHẨM
□ Mã sản phẩm : STT1670
□ Nhà xuất bản : Cengage Learning
□ Tác giả : Jeffrey M. Wooldridge
□ Ngôn ngữ : Tiếng Anh
□ ISBN : 978-0357900161
□ Số trang : 848 trang
□ Hình thức : Bìa Mềm, RUỘT IN ĐEN TRẮNG HOẶC IN MẦU LASER, BÌA IN MẪU LASER GIẤY C300 CÓ CÁN
□ Loại : Sách gia công đóng gáy keo chắc chắn chất lượng cao
□ Giấy in : Giấy ngoại định lượng 70msg, viết vẽ và highlight thoải mái.
□ Chất lượng : Bản in rõ nét, giá rất tốt cho mọi người.
□ II. MÔ TẢ SẢN PHẨM
□ 1.Mô tả sản phẩm đầy đủ
Introductory Econometrics: A Modern Approach, 8th Edition, by Jeffrey M. Wooldridge, provides a fresh and practical perspective on how econometrics is used today to solve real-world problems in business, policy evaluation, and forecasting. Unlike traditional texts that often overwhelm students with abstract mathematical proofs and matrix algebra from the start, Wooldridge’s approach mirrors the way empirical researchers actually conduct analysis. The text organizes topics around the type of data being analyzed—cross-sectional, time series, and panel data—making the material more accessible and intuitively logical for students. This eighth edition continues to lead the field by integrating the latest developments in econometric theory and practice. A significant addition to this edition is a comprehensive new chapter dedicated to modern causal inference methods, which are central to contemporary economic research. This includes detailed coverage of treatment effects, difference-in-differences (DiD) estimation, and regression discontinuity designs (RDD). By focusing on these modern applied tools, the book ensures that students are equipped with the skills necessary to handle the complex datasets and causal questions common in today's data-driven world. The book emphasizes the importance of ceteris paribus analysis and the use of econometric methods to establish causal relationships rather than mere correlations. Throughout the text, Wooldridge provides numerous empirical examples using real data to illustrate how the techniques are applied in practice. These examples cover a wide range of fields, from labor economics and education to finance and marketing, helping students see the relevance of econometrics to their own areas of interest. Additionally, the text includes updated sections on fractional response models, event studies, and the estimation of local average treatment effects using instrumental variables. Designed for both undergraduate and introductory graduate courses, this textbook bridges the gap between theoretical econometrics and applied research. It avoids the heavy use of matrix algebra in the main body, allowing students to focus on the conceptual understanding and application of Ordinary Least Squares, instrumental variables, and other estimation techniques. With its clear writing style and rigorous yet accessible presentation, Wooldridge’s text remains an essential resource for anyone looking to master the fundamentals of modern econometric analysis in a professional and effective manner.
□ 2. Tác giả
Jeffrey M. Wooldridge is University Distinguished Professor of Economics at Michigan State University, where he has taught since 1991. Before joining MSU, he served as an assistant professor of economics at the Massachusetts Institute of Technology (MIT). He earned his Bachelor of Arts in computer science and economics from the University of California, Berkeley, and his Ph.D. in economics from the University of California, San Diego. Dr. Wooldridge is a fellow of the Econometric Society and the Journal of Econometrics and has served on the editorial boards of the Journal of Business and Economic Statistics and the Stata Journal. He has received numerous awards, including the Sir Richard Stone Prize and the Plura Scripsit Award. He is widely recognized for his textbooks on introductory and advanced econometrics.
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