English
English
Microeconomics
Microeconomics
The course is organised in 44 frontal lessons of both theoretical and practical content.
The course is organised in 44 frontal lessons of both theoretical and practical content.
The learning outcomes of the course is to ensure that the student acquires the necessary knowledge to understand how digital technology and individual data are used in the public sector to support public services provision and political decisions.
At the end of the course the students can analyse the main digitalization tools of the public sector to evaluate their effects on the public services provision and on the implementation of public policies. They also be able to use the main procedures of public policy evaluation.
Practical applications, comparisons and discussions that will take place during the course will allow students to improve their autonomy and their skills in terms of communication, learning and critical approach.
The learning outcomes of the course is to ensure that the student acquires the necessary knowledge to understand how digital technology and individual data are used in the public sector to support public services provision and political decisions.
At the end of the course the students can analyse the main digitalization tools of the public sector to evaluate their effects on the public services provision and on the implementation of public policies. They also be able to use the main procedures of public policy evaluation.
Practical applications, comparisons and discussions that will take place during the course will allow students to improve their autonomy and their skills in terms of communication, learning and critical approach.
Introduction to public sector
Data-driven in public sector
Digital governance and citizenship
Digital public services
Public policies impact evaluation
Randomised experiments versus quasi-experiments
Difference in difference method
Introduction to public sector
Data-driven in public sector
Digital governance and citizenship
Digital public services
Public policies impact evaluation
Randomised experiments versus quasi-experiments
Difference in difference method
The exam is written.
The exam consists of three open-ended questions on the program. The response to the questions is expected to demonstrate the student’s understanding of the key concepts but also their capacity of elaborating autonomous evaluations and judgments.
Each of the three open-ended question will receive an evaluation ranging between 0 and 10.
For the exam to be passed, the final grade must achieve at least 18/30. The final grade ranges between the minimum of 18/30 and the maximum of 30/30. For exams of very high quality the “cum laude” will be added to the 30/30 evaluation.
The exam is written.
The exam consists of three open-ended questions on the program. The response to the questions is expected to demonstrate the student’s understanding of the key concepts but also their capacity of elaborating autonomous evaluations and judgments.
Each of the three open-ended question will receive an evaluation ranging between 0 and 10.
For the exam to be passed, the final grade must achieve at least 18/30. The final grade ranges between the minimum of 18/30 and the maximum of 30/30. For exams of very high quality the “cum laude” will be added to the 30/30 evaluation.
Lips, M. (2020). Digital government managing public sector reform in the digital era, New York: Routledge.
Loi, M., Rodrigues, M. (2012). A note on the impact evaluation of public policies: The counterfactual analysis.
Martini, A. (2008). How counterfactuals got lost on the way to Brussels. Prepared for the Symposium “Policy and programme evaluation in Europe: Cultures and prospects”, Strasbourg.
OECD (2019). The Path to Becoming a Data-Driven Public Sector, OECD Publishing, Paris.
Rommele, A., M. Silverman, S. Falk (2018). Digital government leveraging innovation to improve public sector performance and outcomes for citizens, Springer International Publishing.
Lips, M. (2020). Digital government managing public sector reform in the digital era, New York: Routledge.
Loi, M., Rodrigues, M. (2012). A note on the impact evaluation of public policies: The counterfactual analysis.
Martini, A. (2008). How counterfactuals got lost on the way to Brussels. Prepared for the Symposium “Policy and programme evaluation in Europe: Cultures and prospects”, Strasbourg.
OECD (2019). The Path to Becoming a Data-Driven Public Sector, OECD Publishing, Paris.
Rommele, A., M. Silverman, S. Falk (2018). Digital government leveraging innovation to improve public sector performance and outcomes for citizens, Springer International Publishing.
Università Politecnica delle Marche
P.zza Roma 22, 60121 Ancona
Tel (+39) 071.220.1, Fax (+39) 071.220.2324
P.I. 00382520427