Course 2008-2009 a.y.

8300 - ECONOMETRIC METHODS FOR INNOVATION STUDIES


MM-LS - AFC-LS - CLAPI-LS - CLEFIN-LS - CLELI-LS - DES-LS - CLG-LS - M-LS - IM-LS - ACME-LS - EMIT-LS

Department of Management and Technology

Course taught in English

Go to class group/s: 31
MM-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) - DES-LS (6 credits - II sem. - AI) - CLG-LS (6 credits - II sem. - AI) - M-LS (6 credits - II sem. - AI) - IM-LS (6 credits - II sem. - AI) - ACME-LS (6 credits - II sem. - AI) - EMIT-LS (6 credits - II sem. - AI)
Course Director:
MARIA LUISA MANCUSI

Classes: 31 (II sem.)
Instructors:
Class 31: ROBERTO FONTANA


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 is met through both theoretical lectures and applied computer sessions. All techniques are presented with reference to some specific application in the innovation literature. Students are recommended to have a basis 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 are given during the lectures.
Exam textbooks & Online Articles (check availability at the Library)
Last change 09/06/2008 15:08