Econometric Modeling : a Likelihood Approach.
Econometric Modeling provides a new and stimulating introduction to econometrics, focusing on modeling. The key issue confronting empirical economics is to establish sustainable relationships that are both supported by data and interpretable from economic theory. The unified likelihood-based approac...
Clasificación: | Libro Electrónico |
---|---|
Autor principal: | |
Otros Autores: | |
Formato: | Electrónico eBook |
Idioma: | Inglés |
Publicado: |
New Jersey :
Princeton University Press,
2012.
|
Temas: | |
Acceso en línea: | Texto completo |
Tabla de Contenidos:
- Frontmatter
- Contents
- Preface
- Data and software
- Chapter One. The Bernoulli model
- Chapter Two. Inference in the Bernoulli model
- Chapter Three. A first regression model
- Chapter Four. The logit model
- Chapter Five. The two-variable regression model
- Chapter Six. The matrix algebra of two-variable regression
- Chapter Seven. The multiple regression model
- Chapter Eight. The matrix algebra of multiple regression
- Chapter Nine. Mis-specification analysis in cross sections
- Chapter Ten. Strong exogeneity
- Chapter Eleven. Empirical models and modeling
- Chapter Twelve. Autoregressions and stationarity
- Chapter Thirteen. Mis-specification analysis in time series
- Chapter Fourteen. The vector autoregressive model
- Chapter Fifteen. Identification of structural models
- Chapter Sixteen. Non-stationary time series
- Chapter Seventeen. Cointegration
- Chapter Eighteen. Monte Carlo simulation experiments
- Chapter Nineteen. Automatic model selection
- Chapter Twenty. Structural breaks
- Chapter Twenty One. Forecasting
- Chapter Twenty Two. The way ahead
- References
- Author index
- Subject index