Mostly Harmless Econometrics: An Empiricist’s Companion

Princeton University Press - The core methods in today's econometric toolkit are linear regression for statistical control, instrumental variables methods for the analysis of natural experiments, and differences-in-differences methods that exploit policy changes. In the modern experimentalist paradigm, these techniques address clear causal questions such as: Do smaller classes increase learning? Should wife batterers be arrested? How much does education raise wages? Mostly Harmless Econometrics shows how the basic tools of applied econometrics allow the data to speak.

In addition to econometric essentials, Mostly Harmless Econometrics covers important new extensions--regression-discontinuity designs and quantile regression--as well as how to get standard errors right. The applied econometric methods emphasized in this book are easy to use and relevant for many areas of contemporary social science.

Mostly Harmless Econometrics: An Empiricist's Companion - Joshua angrist and jörn-Steffen Pischke explain why fancier econometric techniques are typically unnecessary and even dangerous. An irreverent review of econometric essentials a focus on tools that applied researchers use most Chapters on regression-discontinuity designs, quantile regression, and standard errors Many empirical examples A clear and concise resource with wide applications Princeton University Press.





Mastering 'Metrics: The Path from Cause to Effect

Princeton University Press - Applied econometrics, known to aficionados as 'metrics, is the original data science. Does health insurance make you healthier? Randomized experiments provide answers. Metrics encompasses the statistical methods economists use to untangle cause and effect in human affairs. Could arresting O. J. Simpson have saved his ex-wife's life? Instrumental variables methods instruct law enforcement authorities in how best to respond to domestic abuse.

Wielding econometric tools with skill and confidence, Mastering 'Metrics uses data and statistics to illuminate the path from cause to effect. Shows why econometrics is importantExplains econometric research through humorous and accessible discussionOutlines empirical methods central to modern econometric practiceWorks through interesting and relevant real-world examples Princeton University Press.

Mastering 'Metrics: The Path from Cause to Effect - . When private banks teeter, and depositors take their money and run, should central banks step in to save them? Differences-in-differences analysis of a Depression-era banking crisis offers a response. Through accessible discussion and with a dose of kung fu-themed humor, Mastering 'Metrics presents the essential tools of econometric research and demonstrates why econometrics is exciting and useful.

The five most valuable econometric methods, or what the authors call the Furious Five--random assignment, regression, instrumental variables, regression discontinuity designs, and differences in differences--are illustrated through well-crafted real-world examples vetted for awesomeness by Kung Fu Panda's Jade Palace.

Are expensive private colleges and selective public high schools better than more pedestrian institutions? Regression analysis and a regression discontinuity design reveal the surprising truth.





Counterfactuals and Causal Inference: Methods And Principles For Social Research Analytical Methods for Social Research

Cambridge University Press - The importance of causal effect heterogeneity is stressed throughout the book, and the need for deep causal explanation via mechanisms is discussed. In this second edition of counterfactuals and Causal Inference, completely revised and expanded, demographic, the essential features of the counterfactual approach to observational data analysis are presented with examples from the social, and health sciences.

Princeton University Press. Alternative estimation techniques are first introduced using both the potential outcome model and causal graphs; after which, such as matching and regression, conditioning techniques, are presented from a potential outcomes perspective. For research scenarios in which important determinants of causal exposure are unobserved, longitudinal methods, and estimation via causal mechanisms, such as instrumental variable estimators, alternative techniques, are then presented.





Econometric Analysis of Cross Section and Panel Data The MIT Press

The MIT Press - New attention is given to explaining when particular econometric methods can be applied; the goal is not only to tell readers what does work, but why certain "obvious" procedures do not. Improvements include a broader class of models for missing data problems; more detailed treatment of cluster problems, an important topic for empirical researchers; expanded discussion of "generalized instrumental variables" GIV estimation; new coverage based on the author's own recent research of inverse probability weighting; a more complete framework for estimating treatment effects with panel data, and a firmly established link between econometric approaches to nonlinear panel data and the "generalized estimating equation" literature popular in statistics and other fields.

The analysis covers both linear and nonlinear models, including models with dynamics and/or individual heterogeneity. Princeton University Press. The numerous included exercises, both theoretical and computer-based, allow the reader to extend methods covered in the text and discover new insights. In addition to general estimation frameworks particular methods of moments and maximum likelihood, Tobit models, causal or treatment effects, specific linear and nonlinear methods are covered in detail, models for count data, censored and missing data schemes, including probit and logit models and their multivariate, and duration analysis.

Econometric Analysis of Cross Section and Panel Data The MIT Press - Econometric analysis of cross section and Panel Data was the first graduate econometrics text to focus on microeconomic data structures, allowing assumptions to be separated into population and sampling assumptions. This second edition has been substantially updated and revised. Mit press MA.





Field Experiments: Design, Analysis, and Interpretation

W. W. Norton & Company - Written by two leading experts on experimental methods, analysis, this concise text covers the major aspects of experiment design, and interpretation in clear language. A brief, authoritative introduction to field experimentation in the social sciences. W w norton Company. Students learn how to design randomized experiments, analyze the data, and interpret the findings.

Beyond the authoritative coverage of the basic methodology, including rich examples from the social science literature, data sets, problem sets and discussions, the authors include numerous features to help students achieve a deeper understanding of field experimentation, and further readings. Princeton University Press.

Field Experiments: Design, Analysis, and Interpretation - . Mit press MA.





Econometric Analysis

Pearson India - Mit press MA. W w norton Company. Printed in asia - carries same contents as of US edition - Opt Expedited Shipping for 3 to 4 day delivery - Princeton University Press.





Causal Inference for Statistics, Social, and Biomedical Sciences: An Introduction

Cambridge University Press - Many detailed applications are included, with special focus on practical aspects for the empirical researcher. Cambridge University Press. Princeton University Press. In this approach, causal effects are comparisons of such potential outcomes. Mit press MA. This book starts with the notion of potential outcomes, each corresponding to the outcome that would be realized if a subject were exposed to a particular treatment or regime.

The authors discuss how randomized experiments allow us to assess causal effects and then turn to observational studies. W w norton Company. Most questions in social and biomedical sciences are causal in nature: what would happen to individuals, if part of their environment were changed? In this groundbreaking text, or to groups, two world-renowned experts present statistical methods for studying such questions.

Causal Inference for Statistics, Social, and Biomedical Sciences: An Introduction - The fundamental problem of causal inference is that we can only observe one of the potential outcomes for a particular subject. They lay out the assumptions needed for causal inference and describe the leading analysis methods, including, propensity-score methods, matching, and instrumental variables.





Microeconometrics Using Stata: Revised Edition

Stata Press - W w norton Company. Cambridge University Press. It covers topics left out of most microeconometrics textbooks and omitted from basic introductions to Stata. The unique combination of topics, intuitive introductions to methods, and detailed illustrations of Stata examples make this book an invaluable, hands-on addition to the library of anyone who uses microeconometric methods.

They also show how to use Stata’s programming features to implement methods for which Stata does not have a specific command. Along with several new examples, this edition presents the new gmm command for generalized method of moments and nonlinear instrumental-variables estimation. In addition, the chapter on maximum likelihood estimation incorporates enhancements made to ml in Stata 11.

Microeconometrics Using Stata: Revised Edition - A complete and up-to-date survey of microeconometric methods available in Stata, Microeconometrics Using Stata, Revised Edition is an outstanding introduction to microeconometrics and how to execute microeconometric research using Stata. Stata Press. Throughout the book, the authors use simulation methods to illustrate features of the estimators and tests described and provide an in-depth Stata example for each topic discussed.

. Instead of using mfx and the user-written margeff commands, the authors employ the new margins command, emphasizing both marginal effects at the means and average marginal effects. Princeton University Press.





Introductory Econometrics: A Modern Approach - Standalone Book

Cengage Learning - W w norton Company. Stata Press. Note: this book is a standalone book and will not include any access codes. Packed with relevant applications, the text incorporates more than 100 intriguing data sets, available in six formats. Gain a full understanding of the impact of econometrics in practice today with the insights and applications found only in INTRODUCTORY ECONOMETRICS: A MODERN APPROACH, 6E.

Princeton University Press. Cengage Learning. Updates introduce the latest emerging developments in the field. This makes the material easier to understand and, ultimately, leads to better econometric practices. Cambridge University Press. Unlike traditional texts, this book uniquely demonstrates how econometrics has moved beyond a set of abstract tools to become genuinely useful for answering questions in business, policy evaluation, and forecasting.

Introductory Econometrics: A Modern Approach - Standalone Book - Discover how empirical researchers today actually consider and apply econometric methods with the practical approach in Wooldridge's INTRODUCTORY ECONOMETRICS: A MODERN APPROACH, 6E. Introductory econometrics is organized around the type of data being analyzed with a systematic approach that only introduces assumptions as they are needed.

Mit press MA.





Introduction to Econometrics 3rd Edition

Pearson India - Please read notes: brand new, international softcover edition, Sale restriction may be printed on the book, Printed in black and white pages, contents, minor self wear on the cover or pages, but Book name, and author are exactly same as Hardcover Edition. Mit press MA. Stata Press. Cambridge University Press.

Cengage Learning. Princeton University Press. W w norton Company. Fast delivery through DHL/FedEx express.





A Guide to Econometrics. 6th edition

Wiley-Blackwell - Stata Press. Cambridge University Press. This is the perfect and essential supplement for all econometrics classes--from a rigorous first undergraduate course, to a first master's, to a PhD course. W w norton Company. Explains what is going on in textbooks full of proofs and formulas offers intuition, skepticism, insights, humor, nonparametrics, and practical advice dos and don’ts Contains new chapters that cover instrumental variables and computational considerations Includes additional information on GMM, and an introduction to wavelets Princeton University Press.

Cengage Learning. Wiley-Blackwell. Mit press MA.