Comparar métodos
Examine os métodos selecionados lado a lado; as linhas que diferem ficam destacadas.
| Regressão por Mínimos Quadrados Ordinários (MQO)× | Regressão Logística× | Modelo de Efeitos Fixos para Dados em Painel× | |
|---|---|---|---|
| Área≠ | Econometria | Estatística para pesquisa | Econometria |
| Família≠ | Regression model | Process / pipeline | Regression model |
| Ano de origem≠ | 2019 | 1958 | 2014 |
| Autor original≠ | Wooldridge (textbook treatment); classical least squares | David Roxbee Cox | Hsiao (textbook treatment); within transformation of panel data |
| Tipo≠ | Linear regression | Method | Panel data regression |
| Fonte seminal≠ | Wooldridge, J. M. (2019). Introductory Econometrics: A Modern Approach (7th ed.). Cengage Learning. ISBN: 978-1337558860 | Cox, D. R. (1958). The regression analysis of binary sequences. Journal of the Royal Statistical Society, Series B, 20(2), 215–242. DOI ↗ | Hsiao, C. (2014). Analysis of Panel Data (3rd ed.). Cambridge University Press. DOI ↗ |
| Outros nomes≠ | ordinary least squares, classical linear regression, linear regression, en küçük kareler regresyonu | logit model, binomial logistic regression, LR | fixed effects model, within estimator, panel fixed-effects regression, Panel Veri — Sabit Etkiler Modeli |
| Relacionados≠ | 5 | 3 | 5 |
| Resumo≠ | Ordinary Least Squares is the classical linear regression method that explains a continuous outcome as a linear combination of predictors. It estimates the coefficients by minimising the sum of squared residuals, and under the Gauss-Markov assumptions these estimates are the best linear unbiased estimator (BLUE). | Logistic regression is a statistical method for modeling the probability of a binary outcome (disease present/absent, success/failure) as a function of continuous and categorical predictors. Developed by David Roxbee Cox (1958), it solves the problem of predicting categorical outcomes by applying a logistic transformation to constrain predictions to the [0,1] probability interval, enabling accurate risk stratification, diagnostic prediction, and causal inference in epidemiology, medicine, and social science. | The Panel Data Fixed Effects model estimates relationships from panel data (the same units observed over several time periods) while controlling for unit- and/or time-specific effects, supporting causal inference. It is developed as the within estimator in standard treatments such as Hsiao's Analysis of Panel Data (2014). |
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