Advanced Statistical Methods

Advanced Statistical Methods
Bachelor in International Studies
ECTS Credits: 6.0
Semester: 2

COMPETENCES AND SKILLS THAT WILL BE ACQUIRED AND LEARNING RESULTS

BASIC AND GENERAL COMPETENCES
BASIC COMPETENCES
CB1 Be able to show that they possess and comprehend facts and contents in an area of study which, based on a previous general secondary school level, have been extended to those included in advanced textbooks and in some aspects proceed from the most advanced studies in this area.
CB2 Be able to show that they have learned how to apply their knowledge professionally to their future jobs or tasks and that they possess the competences needed to develop and defend arguments and solve problems in that area of study.
CB3 Be able to show that they are capable of collecting and interpreting the relevant data (normally within their area of study) needed for formulating judgments which require critical thought on social, scientific and ethical topics of relevance.
CB4 Be able to show that they are able to transmit information, ideas, problems and solutions both to specialized and non-specialized publics.
CB5 Be able to show that they have developed the learning skills required to perform further studies with a high degree of self-dependence.

GENERAL COMPETENCES
CG1 Understand social, political, legal and economic realities from a comparative perspective.
CG3 Know quantitative and qualitative research techniques and possess the ability to choose which is most adequate to apply in the field of Social Sciences.
CG4 Be able to manage information: identify, organize and analyze relevant information critically and systematically within the context of international relations.
CG5 Be able to debate and formulate critical reasoning, using precise terminology and specialized resources, when analyzing international and global phenomena, employing both the concepts and knowledge from different disciplines as well as the methods of analysis, paradigms and concepts pertaining to the Social Sciences.
CG6 Be able to apply scientific method to the economic, social and political questions of a global society; be able to formulate problems in this context, identify a possible explication or solution, and a method to contrast them by sensibly interpreting the data.

OVERLAPPING COMPETENCES
CT1 Acquire the capacity to communicate knowledge in oral and written form, both to specialized and to non-specialized publics.
CT2 Acquire the capacity to establish good interpersonal communication and to work both in interdisciplinary and international teams.
CT3 Acquire the capacity to organize and plan workloads, taking correct decisions based on the available information, collecting and interpreting relevant data in order to provide assessments in that area of study.
CT4 Develop the motivation and capacity to perform independent continuous learning for life, with an endowment to adapt to change and new situations.

SPECIFIC COMPETENCES
CE8 Understand the structure of markets and the impact of public intervention on markets.
CE9 Be familiar with and comprehend the relevance of technological change for economic and social development.
CE10 Be able to discern the differentiating elements in international problems in accordance to the development stages of a country.
CE13 Be familiar with the principles of cost-benefit analysis and its application to basic problems.

LEARNING RESULTS
· Applied knowledge to construct models which analyze the causal relations between variables.
· Applied knowledge to construct models which contrast hypothesis and predict.
· Applied knowledge to evaluate and criticize different approaches to analyzing a research problem.
· Applied knowledge to reply quantitatively, using empirical research, to questions about how independent variables influence levels and variations of dependent variables.
· Knowledge to reproduce and critically evaluate existing empirical studies in the context of Social Sciences.

DESCRIPTION OF CONTENTS: PROGRAMME

Dynamic regresion models: exogeneity. Transference function. Distributed lag models. Regression models with non-stationary data: short and long term effects. Estimation, constrasts and prediction. Application to socio-political data. Panel data models. Estimation. Endogeneity contrasts and instrumental variables. Serial correlation and heteroscedasticity in panel data. Evaluation of the effects of public intervention. Difference in difference. Causality.

ASSESSMENT SYSTEM
- 40% Continuous work (assingments, labs, practicals, etc.)
- 60% End-of-term exam