Monte Carlo Simulation and Resampling Methods for Social Science

Taking the topics of a quantitative methodology course and illustrating them through Monte Carlo simulation, this book examines abstract principles, such as bias, efficiency, and measures of uncertainty in an intuitive, visual way. Instead of thinking in the abstract about what would happen to a particular estimator "in repeated samples," the book uses simulation to actually create those repeated samples and summarize the results. The book includes basic examples appropriate for readers learning the material for the first time, as well as more advanced examples that a researcher might use to evaluate an estimator he or she was using in an actual research project. The book also covers a wide range of topics related to Monte Carlo simulation, such as resampling methods, simulations of substantive theory, simulation of quantities of interest (QI) from model results, and cross-validation. Complete R code from all examples is provided so readers can replicate every analysis presented using R.

Author: Thomas M. Carsey,Jeffrey J. Harden
Publisher: Sage Publications, Inc
Published: 08/06/2013
Pages: 304
Binding Type: Paperback
Weight: 1.15lbs
Size: 9.00h x 7.30w x 0.70d
ISBN: 9781452288901

About the Author
Thomas M. Carsey is the Thomas J. Pearsall Distinguished Professor in the Department of Political Science at the University of North Carolina at Chapel Hill.

Jeff Harden (Ph.D, University of North Carolina at Chapel Hill, 2012) is a professor of political methodology and American politics University of Colorado at Boulder.

This title is not returnable