Mostly Harmless Econometrics

Author: Joshua D. Angrist
Publisher: Princeton University Press
ISBN: 9781400829828
Size: 48.24 MB
Format: PDF, ePub, Docs
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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: 66.37 MB
Format: PDF, Mobi
View: 3667
In clear, concise language—a model for what he advocates—William Thomson shows how to make written and oral presentations both inviting and efficient.

Natural Experiments In The Social Sciences

Author: Thad Dunning
Publisher: Cambridge University Press
ISBN: 1107017661
Size: 27.36 MB
Format: PDF, Mobi
View: 1473
The first comprehensive guide to natural experiments, providing an ideal introduction for scholars and students.

Hands On Intermediate Econometrics Using R

Author: Hrishikesh D Vinod
Publisher: World Scientific Publishing Company
ISBN: 981310127X
Size: 65.49 MB
Format: PDF, ePub
View: 6235
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.

Studyguide For Mostly Harmless Econometrics

Author: Cram101 Textbook Reviews Staff
ISBN: 9781618126788
Size: 39.99 MB
Format: PDF, ePub, Mobi
View: 2256
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 .

Mostly Harmless Econometrics An Empiricists Companion

Author: CTI Reviews
Publisher: Cram101 Textbook Reviews
ISBN: 1490249214
Size: 58.94 MB
Format: PDF, Mobi
View: 1895
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.


Author: Nassim Nicholas Taleb
Publisher: Random House Incorporated
ISBN: 0812979680
Size: 17.35 MB
Format: PDF, Kindle
View: 7349
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.

Statistical Analysis Of Contingency Tables

Author: Morten Fagerland
Publisher: CRC Press
ISBN: 1315356554
Size: 80.90 MB
Format: PDF, ePub, Mobi
View: 5569
Statistical Analysis of Contingency Tables is an invaluable tool for statistical inference in contingency tables. It covers effect size estimation, confidence intervals, and hypothesis tests for the binomial and the multinomial distributions, unpaired and paired 2x2 tables, rxc tables, ordered rx2 and 2xc tables, paired cxc tables, and stratified tables. For each type of table, key concepts are introduced, and a wide range of intervals and tests, including recent and unpublished methods and developments, are presented and evaluated. Topics such as diagnostic accuracy, inter-rater reliability, and missing data are also covered. The presentation is concise and easily accessible for readers with diverse professional backgrounds, with the mathematical details kept to a minimum. For more information, including a sample chapter and software, please visit the authors' website.

Quantile Regression For Spatial Data

Author: Daniel P. McMillen
Publisher: Springer Science & Business Media
ISBN: 3642318150
Size: 23.48 MB
Format: PDF, Kindle
View: 555
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.

Field Experiments

Author: Alan S. Gerber
Publisher: W W Norton & Company Incorporated
ISBN: 9780393979954
Size: 71.39 MB
Format: PDF
View: 1839
A brief, authoritative introduction to field experimentation in the social sciences. Written by two leading experts on experimental methods, this concise text covers the major aspects of experiment design, analysis, and interpretation in clear language. Students learn how to design randomized experiments, analyze the data, and interpret the findings. Beyond the authoritative coverage of the basic methodology, the authors include numerous features to help students achieve a deeper understanding of field experimentation, including rich examples from the social science literature, problem sets and discussions, data sets, and further readings.