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Kellogg Doctoral Program

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PhD Empirical Methods Courses
In the spirit and culture of collaboration, the PhD community encourages close working relationships with students and faculty across disciplines at Northwestern University and within the Kellogg School. The flexible curriculum allows students to create their own research plan under the guidance of Kellogg advisors and affiliated faculty. The following is a list of empirical courses available across the PhD Programs at Kellogg and courses that may be available throughout Northwestern University.

Finance
Econometrics of Financial Markets
FINC-488-0
Ravi Jagannathan

Empirical Corporate Finance
FINC-489-0
Paola Sapienza

Seminar in Finance:
Time Series Analysis
FINC-520-1
Viktor Todorov

Special Topics in Finance: Empirical Methods in Finance
(PhD component of FINC-970-0)
FINC-530-0
Akash Bandyopadhyay

Health Economics
MECS-451-0
Frank Limbrock

Empirical Studies of Innovation
MECS-453-0
Shane Greenstein

Advanced Applied Microeconomics
MECS-469-0
Yasutora Watanabe

Introduction to Applied Econometrics 2
MECS-477-0
Song Yao

Introduction to Applied Econometrics III: Research Design for Causal Inference
MECS-478-0
Bernard Black

Empirical Issues in Business Strategy
MECS-485-0
Yasutora Watanabe

Marketing
Introduction to Applied Econometrics I
MKTG-476-0
Yi Qian

Special Topics in Marketing: Problems and Solutions in Applied Data Analyses
MKTG-530-1
Ulf Bockenholt

Special Topics in Marketing: Topics in Quantitative Marketing and Economics
MKTG-530-3
Aviv Nevo

Marketing Models:
Quantitative Modeling
MKTG-551-0
Eric Anderson

Marketing Models:
Multivariate Statistics
MKTG-552-0
Lakshman Krishnamurthi

Micro-Organizational Research Methods
MORS-426-1
Adam Galinsky

Macro-Organizational Research Methods
MORS-426-2
Klaus Weber

Methods and Applications of Structured Text Analysis*
MORS-520-0
Klaus Weber

Advanced Interview and Field Methods*
MORS-530-1
Lauren Rivera

Advanced Statistical Methods for Organizational Research*
MORS-530-2
Nicholas Switanek

Courses Outside of Kellogg
Fundamentals of Statistics
PSYCH-450

Statistics for Experimental Designs
PSYCH-451

Linear Models
PSYCH-453

Structural Equation Modeling
PSYCH-454

Statistical Analysis of Social Data I
SOCIOL 401-1

Statistical Analysis of Social Data II
SOCIOL 401-2

Event-History Analysis
SOCIOL 402

Field Methods of Social Research
SOCIOL 403

Designs for Descriptive Causal Research in Field Settings
SOCIOL 404

Comparative Methodology
SOCIOL 410

Statistical Methods for Hierarchical and Panel Data
SOCIOL 476

Advanced Topics in Statistics (Design &Analysis of Social Experiments)
STAT 461

Social Network Analysis
IEMS 441
(cross listed as COMM_ST 525)
 
Field Methods and Social Policy
HDSP 432


*These MORS courses were each offered once in the past.
Please note that not all courses listed above are offered every year.

For program-specific curriculum requirements, current Kellogg students should consult their PhD Program Coordinator. Please contact the professor for a syllabus or more explicit information regarding content.

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