計量經濟學(WOOLDRIDGE/INTRODUCTORY ECONOMETRICS: A MODERN APPROACH 7E) (7版)

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【中文翻譯書】 書名：計量經濟學(7版) 原文書名：Introductory Econometrics: A Modern Approach 7e 作者：Jeffrey M. Wooldridge 翻譯：胥愛琦 出版社：華泰 出版日期：2020/04/00 ISBN：9789579282321 內容簡介 　　本書架構強調將計量經濟學應用到現實世界的問題。每一個計量方法都是研究者分析非實驗性資料時，遇到某特定議題所引出的方法。本書是根據所分析資料的型態來切割主題，與其他書的傳統作法有明顯的不同。 　　本版主要新增隨機試驗概念的介紹，也增加政策分析之探討。另加入許多新資料集和電腦習題，方便讀者練習。所有實證的結果都可透過本書所附資料重新驗證，或是可在已出版的期刊文章中找到結果，對於有心學習計量經濟學的讀者來說，本書可以提供最佳的導引。 目錄 第1章 計量經濟學的本質與經濟資料 第一篇 橫斷面資料的迴歸分析 第2章 簡單迴歸模型 第3章 複迴歸分析：估計 第4章 複迴歸分析：推論 第5章 複迴歸分析：OLS漸近 第6章 複迴歸分析：進一步的議題 第7章 質性資訊的複迴歸分析 第8章 異質性 第9章 設定和資料問題之進一步探討 第二篇 時間序列資料的迴歸分析 第10章 時間序列資料的基本迴歸分析 第11章 時間序列資料使用OLS之進一步議題 第12章 時間序列迴歸的序列相關和異質變異性

Introductory Econometrics: A Modern Approach (MindTap Course List) (7版)

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書名：Introductory Econometrics: A Modern Approach (Asia Edition) 7/E 作者：Wooldridge 出版社：CENGAGE 出版日期：2020/00/00 ISBN：9789814866088 內容簡介 Give students an understanding of how econometrics can answer questions in business, policy evaluation and forecasting. Students see the importance of what they're learning as this practical, yet professional, approach demonstrates how today's empirical researchers apply econometric methods to answer questions across a variety of disciplines. The author organizes information around the type of data being analyzed and uses a systematic approach that introduces assumptions only when needed to obtain a certain result, making it easier for students to follow. Updated applications and examples demonstrate impact on today's policy and support or disprove contemporary economic theories. More than 100 data sets are available in different formats. 目錄 Ch 1 The Nature of Econometrics and Economic Data PART I: REGRESSION ANALYSIS WITH CROSS-SECTIONAL DATA Ch 2 The Simple Regression Model Ch 3 Multiple Regression Analysis: Estimation Ch 4 Multiple Regression Analysis: Inference Ch 5 Multiple Regression Analysis: OLS Asymptotics Ch 6 Multiple Regression Analysis: Further Issues Ch 7 Multiple Regression Analysis with Qualitative Information Ch 8 Heteroskedasticity Ch 9 More on Specification and Data Problems PART II: REGRESSION ANALYSIS WITH TIME SERIES DATA Ch10 Basic Regression Analysis with Time Series Data Ch11 Further Issues in Using OLS with Time Series Data Ch12 Serial Correlation and Heteroskedasticity in Time Series Regressions PART III: ADVANCED TOPICS. Ch13 Pooling Cross Sections Across Time: Simple Panel Data Methods Ch14 Advanced Panel Data Methods Ch15 Instrumental Variables Estimation and Two Stage Least Squares Ch16 Simultaneous Equations Models Ch17 Limited Dependent Variable Models and Sample Selection Corrections Ch18 Advanced Time Series Topics Ch19 Carrying Out an Empirical Project APPENDIX A: Basic Mathematical Tools APPENDIX B: Fundamentals of Probability APPENDIX C: Fundamentals of Mathematical Statistics. APPENDIX D: Summary of Matrix Algebra APPENDIX E: The Linear Regression Model in Matrix Form Answers to Exploring Further Chapter Exercises Statistical Tables Glossary

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