INTRODUCTORY ECONOMETRICS: A MODERN APPROACH, 4e International Edition illustrates how empirical researchers think about and apply econometric methods in real-world practice. The text's unique approach reflects the fact that undergraduate econometrics has moved beyond just a set of abstract tools to being genuinely useful for answering questions in business, policy evaluation, and forecasting environments. The systematic approach, which reduces clutter by introducing assumptions only as they are needed, makes absorbing the material easier and leads to better econometric practices. Its unique organization separates topics by the kinds of data being analyzed , leading to an appreciation for the important issues that arise in drawing conclusions from the different kinds of data economists use. Packed with relevant applications, INTRODUCTORY ECONOMETRICS offers a wealth of interesting data sets that can be used to reproduce the examples in the text or as the starting point for original research projects.
Ensure students grasp the relevance of econometrics with Introduction to Econometrics -- the text that connects modern theory and practice with motivating, engaging applications.
From Dornbusch to Murphy: Stylized Monetary Dynamics of a Contemporary Macroeconometric Model
Cross-correlated Random Regression Coefficients: A Refinement and Some Supporting Evidence
Delusions of Dominance: A Critique of the Theory of Large-scale Industrial Dominance and of the Pretence of Government to "restructure"...
For courses in Applied Econometrics, Political Methodology, and Sociological Methods or a one-year graduate course in Econometrics for social scientists. This text introduces applied econometrics, and presents the theoretical background.
Indispensable à tous les étudiants en économétrie, quel que soit leur niveau, l'ouvrage de William Greene est La référence en la matière.
本教材是专为本科高年级和研究生低年级学生学习经济计量学所设计的一本初中级教材。该书列入“当代经济学系列丛书.当代经济学教学参考书系”, ...
MBA 专业精品教材。
本书内容包括:计量经济学导论,简单线性回归模型,区间估计和假设检验,多元回归模型,异方差等.
This book provides an introduction to the field of microeconometrics through the use of R. The focus is on applying current learning from the field to real world problems.