TY  - BOOK
AU  - Gujarati,Damodar
TI  - Econometrics By Example
SN  - 9789354356117
U1  - 330.015195 
PY  - 2022///
CY  - New Delhi
PB  - Bloomsbury
KW  - Econometrics
N1  - Part I.Basics of Linear Regression--
1.The Linear regression model:an Overview--
2.Functional Forms of Regression models--
3.Qualitative explanatory variables regression models--
Part II.Regression Diagnostics--
4.Regression diagnostic I:Multicollinearity--
5.Regression diagnostic II:Heteroscedasticity--
6.Regression diagnostic III:Autocorrelation--
7.Regression Diagnostic IV:Model Specification Errors--
Part III:Topics in Cross-Section data--
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 Poission and negative binomial regression models--
13.Part IV:Time series econometrics--
13.Stationary and non stationary time series--
14.Cointegration and error correction models--
15.Asset price volatility:the ARCH and GARCH models--
16.Economic forecasting--
Part V:Selected topics in Econometrics--
17.Panel data regression models--
18.Survival analyysis--
19.Stochastic regressors and the method of instrumental variables--
20.Beyond OLS:Quantile regression--
21.Multivariate regression models
ER  -