Economics of Innovation

Code: ENP 163

Type: Elective

Credits/Course (number of hours): 10/150

Content

• Multiple linear regression.
• Specification and selection.
• Estimation methods.
• Autocorrelation and heteroscedasticity.
• Simultaneous equations.
• Time series and cointegration.
• Panel data.
• Models for qualitative and limited dependent variables.
• Discussion and replication of articles within the scope of innovation economics using econometric models.