Dipartimento di
Economia e Giurisprudenza
Università degli Studi di Cassino e del Lazio Meridionale
Summer school in
Statistics and Econometrics using R

Download the application form

V edition: September 2013

The PhD program in Economics at Dipartimento di Economia e Giurisprudenza organizes a summer-school on statistical and econometric analysis.

The school is application oriented, all the techniques will be shown in action using the software R.

Target attendees


The school will take place in the computer lab of Dipartimento di Economia e Giurisprudenza, Università di Cassino, room 1.05. The location Via S.Angelo at Folcara, Cassino (Frosinone), Italy.

Module 1. Applied Statistics with R

Monday 16 - Wednesday 18, September 2013

Lecturers: Alfonso Iodice D'Enza, Domenico Vistocco (University of Cassino)

Prerequisites: basic exploratory statistics, basic statistical inference

Short description of the course:

R is an open source statistical environment, supported by a huge community of developers from several research areas (statistics, econometrics, social and environmental sciences among the others). The large amount of additional packages makes R an extremely versatile software and a real competitor of the most renowned commercial statistical softwares.


The R environment. Using R interactively. The RStudio IDE (Integrated Development Environment). R objects and their manipulations. R packages: installation and use. Reading/writing files from/on external sources. Missing values. The apply family of function. Basic programming in R: grouping, looping and conditional execution, writing a function. Graphical procedures in R. R commands for basic exploratory statistics and for statistical inference. Statistical models in R: simple and multiple linear regression, logit and probit, one-way analysis of variance. Reproducible research and reporting tools: HTML, LaTeX and Markdown reports in R.

Language: lectures will be in English if foreign students register.

Module 2. Statistical methods for policy evaluation and causal inference in observational studies.

Thursday 19 - Friday 20, September 2013

Lecturer: Bruno Arpino, Department of Political and Social Sciences, Universitat Pompeu Fabra, Barcelona, Spain

Prerequisites: basic knowledge of linear and logistic regression

Short description of the course:

What is the effect of smoking on health? Does having an additional child increase the risk of poverty? Are the development policies targeted on small firms effective in increasing investments?

Most studies in the social sciences are motivated by questions that are causal in nature. However, in these areas experiments are very rare because of ethical or practical reasons and the estimation of causal effects has to rely on observational studies. The validity of inference will then strictly depend on the plausibility of the assumptions underlying the employed statistical techniques. Special emphasis will be placed during the course on the language used in formulating those assumptions and on some of the statistical methods that have been developed for the assessment of causal claims.

This short course will offer participants theoretical and applied perspectives on the covered topics. Examples will be drawn from economics, political science, sociology, public health and policy evaluation. A lab session will be organized to demonstrate the implementation of some of the covered techniques using the software R.


Day 1:
Day 2:

Background reading:

While not mandatory, the following papers are useful background readings for the course:


About the instructor:

Bruno Arpino is an assistant professor at the Department of Political and Social Sciences, Universitat Pomepu Fabra. Previously, he has been working as post-doc research fellow at Bocconi University in Milan (Italy). He obtained a PhD in Applied Statistics from the University of Florence (Italy) in 2008 with a thesis titled “Causal inference for observational studies extended to a multilevel setting. The impact of fertility on poverty in Vietnam”. The thesis was awarded by the Italian Statistical Society the price as the best thesis in Applied Statistics 2007/2008. His main research interests are in the areas of causal inference and multilevel models and their application in the socio-demographic field. He has published articles in international peer-reviewed journals such as Journal of the Royal Statistical Society A, Computational Statistics and Data Analysis, Empirical Economics, Regional Studies, Environment and Planning A, Quality & Quantity.

Web-page: https://sites.google.com/site/brunoarpino/

Language: lectures will be in English if foreign students register.


Handouts and useful eletronic resources will be provided during the courses.

How to apply

Registration fees

Discounted fees are for undergraduate or graduate students, and PhD students.

R School (module 1) 350€ 200€
R School (module 2) 250€ 150€

School fees must be payed by bank transfer to
"Dipartimento di Economia e Giurisprudenza"
IBAN IT75B0537274370000010409621
specifying that the payment refers to a "Summer school fee".

How to get to Cassino

Detailed instructions are available here


Reduced University fares will be available at:
Hotel Alba: tel. 0776 21873 (10 minutes walking distance)
Hotel Forum: tel. 0776 301211 (5 minutes by car)
Hotel Boschetto: tel. 0776 39131 (5 minutes by car)


For further information please contact:

Domenico Vistocco
Email: vistocco@unicas.it

Previous editions (in Italian)

I Edizione 2008

II Edizione 2009

Previous edition (in English)

III Edition - 2010

IV Edition - 2012