SIPA: School of International and Public Affairs at Columbia University

Economics and Statistics

International Economics
International Affairs U4595-U4596

See course description on page 50.

International Economic Analysis
International Affairs U4600-U4601

See course description on page 50.

Statistics and Quantitative Analysis for International Affairs
International Affairs U4320

Familiarizes students with some of the basic statistical techniques used in policy analysis so that they will be equipped to be intelligent consumers and producers of analyses. This course covers basic statistical concepts such as the organization of data and measures of central tendency and dispersion as well as more advanced techniques of inferential statistics and multivariate regression.
 

Applied Quantitative Analysis for International Affairs
International Affairs U6312

Prerequisite: U4320 Statistics and Quantitative Analysis for International Affairs or its equivalent. Introduces students to cross-sectional and time-series regression techniques. The first part of the semester focuses on the assumptions, estimation, and evaluation of the standard classical regression model. The second part of the semester focuses on time-series regression models. These techniques are of special relevance for students interested in comparative and international political economy (e.g., development, finance). The course will emphasize the application of the techniques and computer work. An essential objective of the course is to have students develop a paper in their area of interest.
 

Quantitative Political Research
Political Science W4910

Introduction to the use of quantitative techniques in political science and public policy. Topics include descriptive statistics and principles of statistical inference, and probability through analysis of variance and ordinary least-squares regression. Computer applications are emphasized.
 

Analysis of Political Data
Political Science W4911

Multivariate and time-series analysis of political data. Topics include time-series regression, structural equation models, factor analysis, and other special topics. Computer applications are emphasized.
 

Multivariate Analysis
Political Science W4912

Prerequisite: Basic data analysis through multiple regression (e.g., W4910) and knowledge of basic calculus and matrix algebra (e.g., W4360). More mathematical treatment of topics covered in W4911. Examination of problems encountered in multivariate analysis of cross-sectional and time-series data.
 

Linear Regression Models
Public Health P8111

Prerequisite: Public Health P6105 and some computer background. The theoretical background underlying regression techniques; simple regression; bivariate normal distribution and correlation; multiple and polynomial regression.
 

Analysis Categorical Data
Public Health P8120

Prerequisites: P6104 and P6400 or their equivalents. A thorough study of the fourfold table, with applications to epidemiological and clinical studies. Significance versus magnitude of association; estimation of relative risk; matching cases and controls; effects, measurement, and control of misclassification errors; combining evidence from many studies.
 

and G4075 Introduction to Social Data Analysis
Sociology G4074

Required co-requisite: G4076-G4077. Basic techniques for analyzing quantitative social science data. Emphasis on conceptual understanding as well as practical mastery of probability and probability distributions, inference, hypotheses testing, analysis of variance, simple regression, and multiple regression.

Computing Workshop-Social Data Analysis
Sociology G4076-G4077

May be taken only for R credit. Required co-requisite: G4074-G4075. During these laboratory sessions for Introduction to Social Data Analysis, basic algebra is reviewed and matrix algebra, elementary calculus, and computer data analysis are covered.

Survey Methods
Sociology G4324

Survey designs to study individuals and social contexts, definition of populations and sampling methods, exploratory interviewing, translating concepts into survey questions and interview schedules, survey organization, interviewing techniques, code construction and preparation for analysis. In the laboratory, students participate in planning and pre-testing a survey.
 

Special Topics-Stratification Analysis
Sociology G9047

Covers recent research on labor market issues, work and family, societal inequality, wealth and intergenerational transfers. The focus of the course varies with the interests of the students. Intended for students who wish to undertake papers or research projects on stratification themes. Class meetings cover work-in-progress of students as well as discussion of recent studies.