Applied Statistics (APS)

APS 425. Advanced Managerial Data Analysis. 3 credits

The objective of this course is to provide a systematic way to organize and make use of quantitative information in business decision-making. The course builds on what students have learned in introductory statistics, extending that knowledge to include the situations frequently encountered in decision-making.

APS 511. Intro To Math Stat. 3 credits

A more theoretical treatment of the subject matter of APS 411, offered in the summer, primarily for entering doctoral students.

APS 514. Intro To Econometrics. 2 credits

The course is for students intending to do research in quantitative areas. Topics include: estimation and hypothesis testing in the standard linear model, weighted least squares, transformations, constraints, analysis of variance and covariance and problems of model specification.

APS 515. Elements Of Econometrics. 4 credits

The course starts with the single-equation linear model, focusing on OLS estimation and instrumental variables estimation. Then it moves to a linear system of equations model and covers system OLS estimation, generalized least squares estimation, and generalized method of moments. It ends topics of the linear model with linear unobserved effects panel data models. Then the course moves to nonlinear estimation, covering the M-Estimators and discrete response models. If time permits, a few more advanced topics will also be covered. The course assumes familiarity with matrix algebra, probability theory, basic statistics, and ecometrics at the level of ECO 483 and ECO 484.The course requires programming in Matlab for some problem sets.

APS 523. Advanced Econometrics. 5 credits

The course covers advanced topics in econometrics, including maximum likelihood methods and methods of moment estimation. Also discussed are asymptotic theory, and semiparametric and nonparametric estimation.

APS 524. Selected Topics In Econometrics. 5 credits

The course focuses on the econometric techniques and problems associated with particular fields in economics, such as the econometrics of labor economics and the econometric issues in macroeconomics or finance.

APS 528. Sampling Techniques. 4 credits

The course is for students with a primary interest in applied statistics or research in quantitative areas. Topics include: design and analysis of simple random, stratified, cluster and systematic sampling; multistage and multiphase sampling; and nonresponse and measurement errors.

APS 529. Multivariate Methods. 2 credits

This course examines the theory and applications of multivariate methods often used in economics, marketing and finance. Topics include: multivariate normal distributions, sampling distributions, tests of hypotheses, multivariate analysis of variance, canonical correlation, principal components and factor analysis.

APS 531. Applied Econometrics. 3 credits

The course aims to provide PhD students with a broad set of applied econometric skills. The contents of the course have been designed as to provide the broadest group of students in-depth exposure to key topics in Panel Data methods that would be useful in their research endeavor. These methods have applications in accounting, corporate finance, marketing, and more recently in operations management and information systems. The course will be broken up into four modules. The first module is a refresher to topics already covered in the introductory sequence of econometrics courses. The focus, however, would be for students to grasp the idea behind the methods in a more applied setting. The second module introduces students to Panel Data and the issues involved with the estimation of models based on such data. The third module forms the core of the course and focuses on simulation-based econometric methods. In this module, the models discuss both reduced form and structural models applied to cross sectional as well as Panel Data. The course concludes with a quick introduction to Bayesian ideas and methods.