09:30

–

10:15

Coffee & croissants

Waiting for trains

10:10

–

10:15

Welcoming

M. Wilhelm

10:15

–

11:15

Small Area Estimation

I. Molina (Univ. Carlos III, Madrid)

The aim of this talk is to give a broad and simple introduction of what exactly small area estimation is, when it can be used and what the hypotheses are under which such models apply.

11:15

–

11:25

Break

11:25

–

12:25

Causal Inference

M. Rojas-Carulla (Univ. of Cambridge / MPI)

One of the main problems in the use of statistics in the public debate is the erroneous amalgam between correlation and causality . As a consequence, many misleading conclusions are brought in the public debate, as for instance in politics and public policy. This talk has the aim of giving the basic concepts of causality and of giving some of what the key ingredients are to establish and test causality.

12:30

–

13:50

Lunch

Hôtel Alpes et Lac

14:00

–

15:00

Wage Inequalities

M. Anastasiade (Univ. of Neuchâtel)

Wage discrimination based on gender is prohibited by law in Switzerland. However, in the instances where it occurs, it is difficult to quantify it. Since the seminal work of Blinder and Oaxaca in the 70s, many methods have been proposed, usually based on data collected by means of surveys. This talk will discuss some state-of-the art methods used to measure wage inequality. A new technique based on a calibration approach will also be introduced.

15:00

–

15:20

Coffee break

15:20

–

16:20

Big Data              

T. Lienart (Univ. of Oxford)

'Big Data' is one of the main buzz words in statistics and other related fields these days. But what exactly is Big Data, in particular, what are the opportunities, the challenges and the pitfalls? This talk aims at demystifying some of the concepts surrounding the term and give practical recent examples of some of the successes and failures in that field.

16:20

–

16:30

Conclusion

16.30

Apéro