Currículo

Data Analysis in Accounting DAA-A

Contextos

Groupo: Accounting > 2º Ciclo > Parte Escolar > Unidades Curriculares Obrigatórias

ECTS

6.0 (para cálculo da média)

Objectivos

- To develop the skills and knowledge to apply a variety of data analysis techniques, ranging from simple descriptive and factorial analysis, to the construction of regression models for both sectional and panel data and for continuous or limited dependent variables; - To understand the theoretical background of the different techniques and be able to evaluate and interpret in a rigoruous way their results; - To plan and conduct empirical studies; - Computing skills and knowledge of the econometric software Stata.

Programa

1. Exploratory data analysis 2. Summarizing information by factor analysis 3. Multiple regression (including dummies, interactions, specification analysis, and heteroskedasticity robust estimation and inference) 4. Models for panel data 5. Models for binary data 6. Models for censored data

Método de Avaliação

Evaluation includes an individual (open book) written test (50%) and an empirical project in groups of two or three students, where the students chose a dataset and apply several econometric models (50%).

Carga Horária

Carga Horária de Contacto -

Trabalho Autónomo - 121.0

Carga Total -

Bibliografia

Principal

  • Introductory Econometrics: a Modern Approach,: Wooldridge, J. M. 2016 6th. ed., Cengage Learning.
  • Statistics for Business and Economics.: Newbold, P., Carlson, W. & Thorne, N. 2013 8th ed. Prentice Hall.

Secundária

  • Introduction to Econometrics,: Stock, J. H. e Watson, M. W. 2015 3rd ed., Pearson.
  • Microeconometrics using Stata,: Cameron, A.C. e Trivedi, P.K. 2010 Stata Press.

Disciplinas de Execução

2021/2022 - 2 Semestre

2022/2023 - 2 Semestre

2020/2021 - 2 Semestre

2023/2024 - 2 Semestre