| Metodologia: |
A disciplina será ministrada por meio de aulas expositivas, leituras de artigos, capítulos de livro, listas de exercícios, atividades complementares, debates e aplicações. Além disso, utilizará os recursos didáticos: computador, projetor, plataforma sigaa–ufpi, pincel, lousa–digital e lousa. |
| Procedimentos de Avaliação da Aprendizagem: |
Haverá Três Notas Parciais, uma para cada etapa do curso, (𝑁𝑃1, 𝑁𝑃2 𝑒 𝑁𝑃3), Sendo que a 𝑁𝑃1, 𝑁𝑃2 serão
compostas pela média simples entre uma prova escrita e um trabalho (seminário e/ou lista de exercícios). A
terceira nota (𝑁𝑃3) será dada por uma pesquisa sobre um tema escolhido pelo professor |
| Bibliografia:
| 1. BAKLOUTI, Nedra; BOUJELBENE, Younes. A simultaneous equation model of economic growth and shadow
economy: Is there a difference between the developed and developing countries? Economic Change and Restructuring, v. 53, p. 151-170, 2020.
2. BOLDRINI, José Luiz et al. Álgebra linear. Harper & Row, 1980.
3. CASELLA, George; BERGER, Roger L. Inferência estatística. Cengage Learning, 2010.
4. CASELLI, Francesca; REYNAUD, Julien. Do fiscal rules cause better fiscal balances? A new instrumental variable strategy. European Journal of Political Economy, v. 63, p. 101873, 2020.
5. DAVIDSON, Russell et al. Econometric theory and methods. New York: Oxford University Press, 2004.
6. LIMA, Elon Lages. Álgebra linear, 2a. ediçao. IMPA, Rio de Janeiro, p. 22, 1996.
7. GREENE, William H. Econometric analysis. Pearson Education India, 2003.
8. HANSEN, Bruce. Probability and Statistics for Economists. Princeton University Press, 2022.
9. HOGG, Robert V. et al. Introduction to mathematical statistics. Pearson Education India, 2013.
10. JOHNSTON, Jack; DINARDO, John. Econometric methods. 4th Edition. McGraw-Hill International Editions. Singapure: McGraw-Hill, 1996.
11. LARSON, Harold J. Introduction to probability theory and statistical inference. 3rd. Edition. Wiley series in probability and mathematical statistics. New York: Wiley, 1982.
12. MAGNUS, Jan R.; NEUDECKER, Heinz. Matrix differential calculus with applications in statistics and econometrics. John Wiley & Sons, 2019.
13. NGUYEN, Thuy Dieu. Does firm growth increase corruption? Evidence from an instrumental variable approach. Small Business Economics, v. 55, n. 1, p. 237-256, 2020.
14. SPANOS, Aris. Statistical foundations of econometric modelling. New York: Cambridge University Press, 1986.
15. TRIPATHI, Janhavi Shankar. Trade-growth nexus: A study of G20 countries using simultaneous equations model with dynamic policy simulations. Journal of Policy Modeling, v. 45, n. 4, p. 806-816, 2023.
16. WOOLDRIDGE, Jeffrey M. Econometric analysis of cross section and panel data. MIT press, 2010. |
