Checking date: 04/04/2025 09:52:04


Course: 2025/2026

Advanced statistical methods
(16644)
Bachelor in International Studies (2014 Study Plan) (Plan: 329 - Estudio: 305)


Coordinating teacher: KAISER REMIRO, REGINA

Department assigned to the subject: Statistics Department

Type: Electives
ECTS Credits: 6.0 ECTS

Course:
Semester:

Branch of knowledge: Social Sciences and Law



Requirements (Subjects that are assumed to be known)
Estadística para las Ciencias Sociales I: Introducción a la Estadística Estadística para las Ciencias Sociales II: Técnicas multivariantes
Learning Outcomes
K1: Acquire the knowledge, techniques and terminology specific to the field of economics, politics and international relations. K3: To know basic humanistic contents, oral and written expression, following ethical principles and completing a multidisciplinary training profile. K4: Acquire knowledge of the economic, legal, political and social reality from a comparative perspective. K6: To understand the structure of markets and the impact of public intervention on them. K7: To know and understand the main models of political, economic and social organization of States and the processes of change in contemporary societies and politics. S3: Plan and organize team work making the right decisions based on available information and gathering data in digital environments. S4: Use information interpreting relevant data avoiding plagiarism, and in accordance with the academic and professional conventions of the area of study, being able to assess the reliability and quality of such information. S6: Be able to apply the scientific method to the social, political and economic questions posed by the globalized society. S7: Be able to identify, access and manage sources of information relevant to comparative analysis in the field of politics, economics and international relations. S10: Ability to gather and interpret relevant data and knowledge for the elaboration and defense of arguments on topics in their area of study. S11: Ability to discern which quantitative or qualitative research technique is the appropriate one to apply depending on the phenomenon being analyzed. C3: Ability to establish good interpersonal communication and to work in multidisciplinary and international teams. C4: Be able to engage in lifelong autonomous learning, enabling them to adapt to new situations.
Description of contents: programme
1. Introduction 2. Survey sampling 2.1. Survey techniques 2.2. Estimation of socio-economic indicators based on survey data 3. Panel data analysis: models with fixed effects 3.1. Model fitting and prediction 3.2. Analysis of socio-economic indicators based on panel data 4. Panel data analysis: models with random effects 4.1. Model fitting and prediction 4.2. Estimation of socio-economic indicators based on panel data 5. Heterocedasticity and serial correlation in panel data. 5.1. Models with heteroscedasticity 5.2. Models with serial correlation 6. Evaluation of the effects of public interventions 6.1. Modeling the effects of public interventions 6.2. Causality
Learning activities and methodology
Competences will be acquired by students through theoretical lectures, realization of a project, laboratories and resolution of problems.
Assessment System
  • % end-of-term-examination/test 60
  • % of continuous assessment (assigments, laboratory, practicals...) 40

Calendar of Continuous assessment


Extraordinary call: regulations
Basic Bibliography
  • Arellano, M.. Panel Data Econometrics. OUP Oxford. 2003
  • Baltagi, B.H.. Econometric Analysis of Panel Data. John Wiley & Sons Inc. 2013
  • Biorn, E.. Econometrics of Panel Data: Methods and Applications. OUP Oxford. 2016
  • Cochran, W. . Sampling Techniques, 3rd Edition. John Wiley.. 1977
  • Lohr, S.. Sampling: Design and Analysis. Duxbury. 1999
  • Scheaffer, R.L., Mendenhall, W., Ott, L. and Gerow, K.G.. Elementary Survey Sampling. Cengage Learning, Inc. 2010
  • Tillé, Y.. Sampling Algorithms. Springer. 2002
  • Wooldridge, J.M. Econometric Analysis of Cross Section and Panel Data. The MIT Press. 2010

The course syllabus may change due academic events or other reasons.