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Statistical Models for Quantitative Social Science
GOV 2002

Course Information

Description

Over the past several decades, the volume and granularity of data available to social scientists have increased dramatically. At the same time, computational power and the complexity of statistical models have grown considerably. This course introduces a variety of statistical models and inference methods developed to address the new challenges faced by quantitative social science researchers. The goal is to familiarize students with a broad range of ideas and tools for analyzing data for measurement, prediction, and causal inference. The course also covers methods for model assessment, evaluation, and selection. It is designed to benefit students across social sciences who wish to apply advanced quantitative methods in their own research.

Class Notes

This course requires students to choose timed sections during registration. 

School Faculty of Arts & Sciences
Credits 4
Cross Reg

Available for Harvard Cross Registration

Department Government
Course Component Seminar
Subject Government
Grading Basis FAS Letter Graded
Course Requirements Prerequisite: Gov 2001 or the permission of the instructor.
General Education N/A
Quantitative Reasoning with Data N/A
Divisional Distribution Social Sciences
Course Level Primarily for Graduate Students