Mostly Harmless Econometrics

Author: Joshua D. Angrist
Publisher: Princeton University Press
ISBN: 9781400829828
Size: 69.70 MB
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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. Joshua Angrist and Jörn-Steffen Pischke explain why fancier econometric techniques are typically unnecessary and even dangerous. The applied econometric methods emphasized in this book are easy to use and relevant for many areas of contemporary social science. 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

A Guide For The Young Economist

Author: William Thomson
Publisher: MIT Press
ISBN: 026220133X
Size: 65.15 MB
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In clear, concise language—a model for what he advocates—William Thomson shows how to make written and oral presentations both inviting and efficient.

Studyguide For Mostly Harmless Econometrics

Author: Cram101 Textbook Reviews Staff
Publisher:
ISBN: 9781618126788
Size: 39.10 MB
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Never HIGHLIGHT a Book Again! Virtually all of the testable terms, concepts, persons, places, and events from the textbook are included. Cram101 Just the FACTS101 studyguides give all of the outlines, highlights, notes, and quizzes for your textbook with optional online comprehensive practice tests. Only Cram101 is Textbook Specific. Accompanys: 9780691120355 9780691120348 .

Natural Experiments In The Social Sciences

Author: Thad Dunning
Publisher: Cambridge University Press
ISBN: 1107017661
Size: 24.74 MB
Format: PDF, Kindle
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The first comprehensive guide to natural experiments, providing an ideal introduction for scholars and students.

Mostly Harmless Econometrics An Empiricists Companion

Author: CTI Reviews
Publisher: Cram101 Textbook Reviews
ISBN: 1490249214
Size: 41.48 MB
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Facts101 is your complete guide to Mostly Harmless Econometrics, An Empiricists Companion. In this book, you will learn topics such as as those in your book plus much more. With key features such as key terms, people and places, Facts101 gives you all the information you need to prepare for your next exam. Our practice tests are specific to the textbook and we have designed tools to make the most of your limited study time.

Hands On Intermediate Econometrics Using R

Author: Hrishikesh D Vinod
Publisher: World Scientific Publishing Company
ISBN: 981310127X
Size: 36.12 MB
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This book explains how to use R software to teach econometrics by providing interesting examples, using actual data applied to important policy issues. It helps readers choose the best method from a wide array of tools and packages available. The data used in the examples along with R program snippets, illustrate the economic theory and sophisticated statistical methods extending the usual regression. The R program snippets are not merely given as black boxes, but include detailed comments which help the reader better understand the software steps and use them as templates for possible extension and modification.

Mastering Metrics

Author: Joshua D. Angrist
Publisher: Princeton University Press
ISBN: 1400852382
Size: 70.20 MB
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Applied econometrics, known to aficionados as 'metrics, is the original data science. 'Metrics encompasses the statistical methods economists use to untangle cause and effect in human affairs. 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). Does health insurance make you healthier? Randomized experiments provide answers. 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. 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. 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 important Explains econometric research through humorous and accessible discussion Outlines empirical methods central to modern econometric practice Works through interesting and relevant real-world examples

Causal Inference For Statistics Social And Biomedical Sciences

Author: Guido W. Imbens
Publisher: Cambridge University Press
ISBN: 1316094391
Size: 57.74 MB
Format: PDF
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Most questions in social and biomedical sciences are causal in nature: what would happen to individuals, or to groups, if part of their environment were changed? In this groundbreaking text, two world-renowned experts present statistical methods for studying such questions. 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. In this approach, causal effects are comparisons of such potential outcomes. The fundamental problem of causal inference is that we can only observe one of the potential outcomes for a particular subject. The authors discuss how randomized experiments allow us to assess causal effects and then turn to observational studies. They lay out the assumptions needed for causal inference and describe the leading analysis methods, including matching, propensity-score methods, and instrumental variables. Many detailed applications are included, with special focus on practical aspects for the empirical researcher.

Antifragile

Author: Nassim Nicholas Taleb
Publisher: Random House Incorporated
ISBN: 0812979680
Size: 31.91 MB
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Shares insights into how adversity can bring out the best in individuals and communities, drawing on multiple disciplines to consider such topics as the superiority of city states over nation states and the drawbacks of debt.

Quantile Regression For Spatial Data

Author: Daniel P. McMillen
Publisher: Springer Science & Business Media
ISBN: 3642318150
Size: 46.64 MB
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Quantile regression analysis differs from more conventional regression models in its emphasis on distributions. Whereas standard regression procedures show how the expected value of the dependent variable responds to a change in an explanatory variable, quantile regressions imply predicted changes for the entire distribution of the dependent variable. Despite its advantages, quantile regression is still not commonly used in the analysis of spatial data. The objective of this book is to make quantile regression procedures more accessible for researchers working with spatial data sets. The emphasis is on interpretation of quantile regression results. A series of examples using both simulated and actual data sets shows how readily seemingly complex quantile regression results can be interpreted with sets of well-constructed graphs. Both parametric and nonparametric versions of spatial models are considered in detail.