General Targets:
Prior educational teaching concern is the students understanding of the main (Economic Statistics Modeling) problems and methods for studying Efficiency and Productivity Analysis. Furthermore, students should know both how to solve analytical problems, in order to apply the appropriate methodology, and to interpret results obtained from empirical applications to actual data.
Specific Targets:
a) Knowledge and capability in understanding.
After attending the course, students know and understand main problems of Efficiency and Productivity Analysis. In particular, the course will account for the logic for building empirical models, related to the underlying economic theory (and the consequent subdivisions in endogenous and exogenous variables), with one or more equations in order to evaluate the degree of efficiency of a typical Decisional Making Unit. We will study the main estimation methods for solving efficiency problems pertaining a firm traditionally operating in the private sector, but we also will extend the analysis to Decisional Making Units of public and non-profit sectors (quadratic methods with different types of metrics, maximum likelihood methods and non-parametric analysis) and the formulas implementable using the estimated functions, necessary for solving financial problems.
b) Capability of applying knowledge and comprehension
At the end of the course students are able to formalize and solve problems by means of specific methods as well as treating fundamental models of Efficiency and Productivity Analysis. Finally, students will be able to apply the methods studied to real data and interpret results correctly also from a theoretical point of view.
c) Autonomy in assessment.
Students develop analytical skills and capacity of facing different alternative approaches for solving actual empirical problems.
d) Communication ability.
Students learn technical language which is appropriate for the subject studied and that will be used at the oral and written exam, by means of practical exercises.
e) Learning capacity.
Students passing the exam are capable to extend the methodology studied also to other fields and derive conclusions.