Vincenzo Scrutinio
Previous Courses and Teaching Activity
40995 Methods for Policy Evalutation , PhD in Social and Political Science , Bocconi University (2023/2024)
Coding in Stata for econometric analysis, in English, PhD in Public Governance, Management and Policy (Public-GoMaP), University of Bologna (2022/2023-2023/2024)
Quasi Experimental methods for Research: Regression Discontinuity Design, PhD lecture, Gran Sasso Science Institute (2022/2023, 2023/2024)
School of High Specialization Training “Evaluation of the impact of public policies. Concepts, Methods and Applications”, Centro Rossi Doria, Roma Tre University (2022,2024)
Microeconomics (09446), in Italian, University of Bologna (2024)
Macroeconomics (08795), in Italian, University of Bologna (2022/2023, 2023/2024)
Mathematics Introductory Course, Master in Public Policy, LSE(2019/2020). Main Instructor
Public Economics (EC325), Undergraduate Economics, LSE(2018/2019). Instructors: C. Landais, D. Reck
Problems in Applied Econometrics (EC333), BSc in Economics , LSE(2015/2016, 2016/2017, 2017/2018). Instructors G. Michaels, M. Gentry, R. Meager;
Introductory Course in Statistics (EC400), Master in Economics, LSE(2017/2018, 2018/2019). Instructors M. Bray, F. Nava, M. Schafgans, S. Zhang
Research Advisor, Master in Management, LSE(2016/2017, 2017/2018, 2018/2019).
Research Advisor, Master in Government, LSE(2018/2019).
Stata Introductory Course, Master in Management, LSE(2017/2018, 2018/2019, 2019/2020). Main Instructor
Stata Introductory Course, Ms in Economics, LSE(2015/2016, 2016/2017, 2018/2019). Main Instructor
Teaching Material
40995 Methods for Policy Evalutation, PhD Political Science, Bocconi University
Lecture 1: slides and material link
Lecture 2: slides and material link
Lecture 3: slides and material link
Lecture 4: slides and material link
Lecture 5: slides and material link
Lecture 6: slides and material link
Lecture 7: slides and material link
Coding in STATA for econometric analysis (GOMAP-UNIBO):
Material class 1: link
Assignment Class 1: link
Material class 2: link
Assignment Class 2: link
Material class 3: link
Slides Class 3: link
Stata Course for Master in Economics Students: click here
ECC333, Problems of Applied Econometrics, Applied Exercises
Linear Regression and Bias: click here
Graphs and data managment: click here
IV , LATE and Weak Instrument: click here
RDD estimation and graphs: reserved material
ECC333, Problems of Applied Econometrics, Revision Notes: click here
EC325, Additional Material: