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Econometrics by Example / Damodar Gujurati.

By: Material type: TextTextPublication details: New York : Palgrave Macmillan. 2011.Description: 371 pISBN:
  • 978023039433
DDC classification:
  • 23 330.015195 GUJ
Contents:
Part-1: The linear regression model; Chapter-1: The linear regression model: an overview; Chapter-2: Functional forms of regression models; Chapter-3: Qualitative explanatory variables regression models; Part-2: Critical evaluation of the classical linear regression model; Chapter-4: Regression diagnostic I: multicollinearity; Chapter-5: Regression diagnostic II: heteroscedascity; Chapter-6: Regression diagnostic III: autocorrelation; Chapter-7: Regression diagnostic IV: model specification errors; Part-III: Regression models with cross-sectional data; Chapter-8: The logit and probit models; Chapter-9: Multinomial regression models; Chapter-10: Ordinal regression models; Chapter-11: Limited dependent variable regression models; Chapter-12: Modeling count data: the poisson and negative binomial regression models; Part-4: Topics in time series econometrics; Chapter-14: Cointegration and error correction models; Chapter-15: Asset price volatility: the ARCH and GARCH models; Chapter-16: Economic forecasting; Chapter-17: Panel data regression models; Chapter-18: Survival analysis; Chapter-19: Stochastic regressors and the method of instrumental variables;
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Item type Current library Collection Call number Status Date due Barcode
Books Books Tetso College Library Economics Non-fiction 330.015195 GUJ (Browse shelf(Opens below)) Available 6053

Part-1: The linear regression model;
Chapter-1: The linear regression model: an overview;
Chapter-2: Functional forms of regression models;
Chapter-3: Qualitative explanatory variables regression models;
Part-2: Critical evaluation of the classical linear regression model;
Chapter-4: Regression diagnostic I: multicollinearity;
Chapter-5: Regression diagnostic II: heteroscedascity;
Chapter-6: Regression diagnostic III: autocorrelation;
Chapter-7: Regression diagnostic IV: model specification errors;
Part-III: Regression models with cross-sectional data;
Chapter-8: The logit and probit models;
Chapter-9: Multinomial regression models;
Chapter-10: Ordinal regression models;
Chapter-11: Limited dependent variable regression models;
Chapter-12: Modeling count data: the poisson and negative binomial regression models;
Part-4: Topics in time series econometrics;
Chapter-14: Cointegration and error correction models;
Chapter-15: Asset price volatility: the ARCH and GARCH models;
Chapter-16: Economic forecasting;
Chapter-17: Panel data regression models;
Chapter-18: Survival analysis;
Chapter-19: Stochastic regressors and the method of instrumental variables;

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