Home
Courses
Mathematics and Applications
Laboratory of Applied Economics

Laboratory of Applied Economics

Code	13953
Year	3
Semester	S2
ECTS Credits	6
Workload	TP(60H)
Scientific area	Economics
Entry requirements	NA
Learning outcomes	Enable students to the advanced usage of the spreadsheet for presenting data. To enable students to use econometric programs (E-Views, Stata, Gretl, JMulTi ...). Enable students to use large volumes of data. To enable students to discuss the economic implications of the models they have estimated. Giving students the perception of the limits of economic data analysis. Enable students to understand the distinction between theoretical research and applied research.
Syllabus	1 - Quantitative sources of economic data 1.1 - Official data 1.2 - Primary data 1.3 - Secondary data 2 - Methods of economic data analysis 2.1 - Statistical methods 2.2 - Econometric methods 2.3 - Construction of databases 3 - Presentation of results 3.1 - Construction of results tables 3.2 - Graphical presentation of results 3.3 - Export of tables and graphs 4 - Discussion of the results 4.1 - General assessment 4.2 - Economic implications 4.3 - Robustness of the analysis 5 - Formulation of conclusions 5.1 - General considerations 5.2 - Particular considerations 5.3 - Implications of economic policy 6 - Applications of econometric models 6.1 - ARIMA 6.2 - ARCH-GARCH 6.3 - VAR / VEC 6.4 - ARDL 6.5 - Logit and Probit 7 - Replication of reference research 8 - Ethical issues in applied research
Main Bibliography	Asteriou, Dimitrios e Hall, Stephen G., Applied Econometrics, Palgrave Macmilan, 2nd Ed., 2011. Gujarati, Damodar N. e Porter, Dawn C., Basic Econometrics, 5th ed., McGraw-Hill/Irwin, 2009. Wooldridge, Jeffrey M., Introductory econometrics: a modern approach. 6th ed., South-Western/Cengage Learning, 2016. Doane, David P. e Seward, Lori E., Applied statistics in business and economics 5th ed., McGraw-Hill Education 2016
Language	Portuguese. Tutorial support is available in English.