Pearson France onixsuitesupport@onixsuite.com 20260315 eng

COM.ONIXSUITE.9781292264523 03 01 Pearson France 01 SKU V26452 02 1292264527 03 9781292264523 15 9781292264523 DG 002 Web PDF 01 GCOI 27440100645580 1 A01 James Stock Stock, James James Stock <p> <strong>James Stock </strong>est professeur d'économie politique à Harvard. Il est diplômé de Berkeley, Californie. Ses domaines de recherche portent sur les prévisions macroéconomiques, la politique monétaire et les méthodes économétriques pour l’analyse des séries temporelles.</p> 2 A01 Mark Watson Watson, Mark Mark Watson <p> <strong>Mark Watson </strong>est professeur d'économie et de relations publiques à Princeton. Il est membre de la société d’économétrie américaine. Ses recherches portent sur les séries temporelles, la macroéconomie empirique et les prévisions macroéconomiques. Il a été consultant pour les réserves fédérales de Chicago et de Richmond.</p> 4 01 eng BUS021000 KCH 24 www.pearson.fr Économie 24 www.pearson.fr Économie & Gestion 24 www.pearson.fr Manuels et lecture complémentaires 01 <p>Engaging applications bring the theory and practice of modern econometrics to life</p> <p>Ensure students grasp the relevance of econometrics with <strong><em>Introduction to Econometrics</em></strong> - the text that connects modern theory and practice with motivating, engaging applications. The 4th Edition, Global Edition, maintains a focus on currency, while building on the philosophy that applications should drive the theory, not the other way around. The text incorporates real-world questions and data, and methods that are immediately relevant to the applications. With very large data sets increasingly being used in economics and related fields, a new chapter dedicated to Big Data helps students learn about this growing and exciting area. This coverage and approach make the subject come alive for students and helps them to become sophisticated consumers of econometrics.</p> <p><strong>The full text downloaded to your computer</strong></p> <p>With eBooks you can:</p> <ul> <li>search for key concepts, words and phrases</li> <li>make highlights and notes as you study</li> <li>share your notes with friends</li> </ul></P> 03 <p>Engaging applications bring the theory and practice of modern econometrics to life</p> <p>Ensure students grasp the relevance of econometrics with <strong><em>Introduction to Econometrics</em></strong> - the text that connects modern theory and practice with motivating, engaging applications. The 4th Edition, Global Edition, maintains a focus on currency, while building on the philosophy that applications should drive the theory, not the other way around. The text incorporates real-world questions and data, and methods that are immediately relevant to the applications. With very large data sets increasingly being used in economics and related fields, a new chapter dedicated to Big Data helps students learn about this growing and exciting area. This coverage and approach make the subject come alive for students and helps them to become sophisticated consumers of econometrics.</p> <p><strong>The full text downloaded to your computer</strong></p> <p>With eBooks you can:</p> <ul> <li>search for key concepts, words and phrases</li> <li>make highlights and notes as you study</li> <li>share your notes with friends</li> </ul></P> 02 For courses in introductory econometrics 04 <h3><strong>PART I: INTRODUCTION AND REVIEW</strong></h3> <ol> <li>Economic Questions and Data</li> <li>Review of Probability</li> <li>Review of Statistics</li> </ol> <h3><strong>PART II: FUNDAMENTALS OF REGRESSION ANALYSIS</strong></h3> <ol start="4"> <li>Linear Regression with One Regressor</li> <li>Regression with a Single Regressor: Hypothesis Tests and Confidence Intervals</li> <li>Linear Regression with Multiple Regressors</li> <li>Hypothesis Tests and Confidence Intervals in Multiple Regression</li> <li>Nonlinear Regression Functions</li> <li>Assessing Studies Based on Multiple Regression</li> </ol> <h3><strong>PART III: FURTHER TOPICS IN REGRESSION ANALYSIS</strong></h3> <ol start="10"> <li>Regression with Panel Data</li> <li>Regression with a Binary Dependent Variable</li> <li>Instrumental Variables Regression</li> <li>Experiments and Quasi-Experiments</li> <li>Prediction with Many Regressors and Big Data</li> </ol> <h3><strong>PART IV: REGRESSION ANALYSIS OF ECONOMIC TIME SERIES DATA</strong></h3> <ol start="15"> <li>Introduction to Time Series Regression and Forecasting</li> <li>Estimation of Dynamic Causal Effects</li> <li>Additional Topics in Time Series Regression</li> </ol> <h3><strong>PART V: THE ECONOMIC THEORY OF REGRESSION ANALYSIS</strong></h3> <ol start="18"> <li>The Theory of Linear Regression with One Regressor</li> <li>The Theory of Multiple Regression</li> </ol> 07 03 01 https://www.pearson.fr/resources/titles/27440100645580/images/999adfe23d3bda876af50397a462f7d8/THUMBNAIL/9781292264523.jpg 20231117 02 https://www.pearson.fr/livre/?GCOI=27440100645580 06 3052396570015 Pearson 01 06 3052396570015 Pearson 01 www.pearson.fr http://www.pearson.fr 04 20190221 2019 06 3052396570015 Pearson France 01 AD AT BE BG HR CY CZ DK EE FI FR GF PF DE GI GR GP HU IS IE IT LV LI LT LU MT MQ MC NL NC NO OM PL PT RE RO RU ES PM SE CH UA GB VA HM MK TF YT BL GG IM JE 20 01 02 02 1 02 49.99 EUR