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R For Econometrics By Example

Intro

1. The Linear Regression Model: An Overview
2. Functional Forms Of Regression Models
3. Qualitative Explanatory Variables Regression Models
4. multicollinearity
5. Heteroscedasticity
6. Autocorrelation
7. Model Specification Errors
8. The Logit And Probit Models
9. Multinomial Regression Models
10. Ordinal Regression Models
11. Limited Dependent Variable Regression Models
12. Modeling Count Data: The Poisson And Negative Binomial Regression Models
13. Stationary And Nonstationary Time Series
14. Cointegration And Error Correction Models
15. Asset Price Volatility: The ARCH And GARCH Models
16. Economic Forecasting
17. Panel Data Regression Models
18. Survival analysis
19. Stochastic Regressors And The Method Of Instrumental Variables
20. Beyond OLS: Quantile Regression
21. Multivariate Regression Models

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12. Modeling Count Data: The Poisson And Negative Binomial Regression Models

12. Modeling Count Data: The Poisson And Negative Binomial Regression Models#

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11. Limited Dependent Variable Regression Models

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13. Stationary And Nonstationary Time Series

By Ahmed H. Darwish

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