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Course 2007-2008 a.y.

8300 - ECONOMETRIC METHODS FOR INNOVATION STUDIES


MM-LS - OSI-LS - AFC-LS - CLAPI-LS - CLEFIN-LS - CLELI-LS - CLEACC-LS - DES-LS - CLEMIT-LS - CLG-LS - M-LS
Department of Management and Technology

Course taught in English


Go to class group/s: 31

MM-LS (6 credits - II sem. - AI) - OSI-LS (6 credits - II sem. - AI) - AFC-LS (6 credits - II sem. - AI) - CLAPI-LS (6 credits - II sem. - AI) - CLEFIN-LS (6 credits - II sem. - AI) - CLELI-LS (6 credits - II sem. - AI) - CLEACC-LS (6 credits - II sem. - AI) - DES-LS (6 credits - II sem. - AI) - CLEMIT-LS (6 credits - II sem. - AI) - CLG-LS (6 credits - II sem. - AI) - M-LS (6 credits - II sem. - AI)
Course Director:
ROBERTO FONTANA

Classes: 31 (II sem.)
Instructors:
Class 31: TO BE DEFINED


Course Objectives

The course introduces the student to the empirical methods employed in the analysis of innovation. The course presents techniques designed to deal both with the specificities of the data employed in innovation studies (e.g. survey data, innovation counts, patents, etc.) and with some innovation related phenomena (e.g. technology diffusion, persistence in innovative activities, evaluation of new products by customers, etc.). The aim of the course will be met through both theoretical lectures and applied computer sessions. All techniques will be presented with reference to some specific application in the innovation literature. It is recommended that students have knowledge of the topics covered in a basic econometrics course.


Course Content Summary
  • Review of linear estimation methods: ordinary and generalized least squares
  • Maximum Likelihood Estimation
  • Analysis of innovation using qualitative and survey data: models for categorical dependent variables (binary, ordinal and categorical outcomes)
  • Modeling patent distribution using quantile regression
  • Patents and innovation counts: Poisson and negative binomial regression
  • Analysis of technological diffusion: duration models of technology adoption
  • Analysis of persistence in innovative activities: distribution dynamics
  • Consumers' evaluation of product innovation: hedonic regressions

Detailed Description of Assessment Methods
Written exam.

Textbooks
  • J.M. WOOLDRIDGE, Introductory Econometrics: A Modern Approach, Thomson, 3rd ed.
  • Further readings will be given during the lectures.

For further and continuously updated information consult the  IEP web site or contact  S.I.D. - Servizio Informazioni Didattica - Institute of Economics - via Gobbi, 5 - Room 313.

Exam textbooks & Online Articles (check availability at the Library)
Last change 13/06/2007 12:39
 

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