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Introduction to econometrics / James H. Stock, Mark W. Watson.

By: Contributor(s): Material type: TextTextSeries: Pearson series in economicsPublication details: Boston : Pearson, c2012.Edition: 3rd edDescription: 827 p. : illISBN:
  • 9780138009007 (alk. paper)
  • 0138009007 (alk. paper)
  • 9781408264331 (pbk.) :
  • 1408264331 (pbk.)
Subject(s): DDC classification:
  • 330.01/5195 22
LOC classification:
  • HB139 .S765 2011
Contents:
Economic questions and data -- Review of probability -- Review of statistics -- Linear regression with one regressor -- Regression with a single regressor : hypothesis tests and confidence intervals -- Linear regression with multiple regressors -- Hypothesis tests and confidence intervals in multiple regression -- Nonlinear regression functions -- Assessing studies based on multiple regression -- Regression with panel data -- Regression with a binary dependent variable -- Instrumental variables regression -- Experiments and quasi-experiments -- Introduction to time series regression and forecasting -- Estimation of dynamic causal effects -- Additional topics in time series regression -- The theory of linear regression with one regressor -- The theory of multiple regression.
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Holdings
Item type Current library Home library Call number Copy number Status Date due Barcode
Books Books Chinhoyi University of Technology Libraries Chinhoyi University of Technology Libraries HB 139 STO (Browse shelf(Opens below)) c.039153 Available BK00455705

Includes bibliographical references and index.

Economic questions and data -- Review of probability -- Review of statistics -- Linear regression with one regressor -- Regression with a single regressor : hypothesis tests and confidence intervals -- Linear regression with multiple regressors -- Hypothesis tests and confidence intervals in multiple regression -- Nonlinear regression functions -- Assessing studies based on multiple regression -- Regression with panel data -- Regression with a binary dependent variable -- Instrumental variables regression -- Experiments and quasi-experiments -- Introduction to time series regression and forecasting -- Estimation of dynamic causal effects -- Additional topics in time series regression -- The theory of linear regression with one regressor -- The theory of multiple regression.

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