000			01525nam a22001577a 4500
020			_a9789354356117
082			_a330.015195 _bGUJ/E
100			_aGujarati,Damodar
245			_aEconometrics By Example/ _cby Damodar Gujarati
250			_a2nd ed.
260			_aNew Delhi: _bBloomsbury, _c2022.
300			_axxx,466p.
505			_aPart 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.
650			_aEconometrics
942			_cBK
999			_c674181 _d674181