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Table of contents (10 chapters)
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Vectors and Matrices Eigenvalues and Eigenvectors Singular Value Decomposition, the Generalized Inverse A Multi-purpose Computer Program
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Specification and Estimation The Ordinary Least Squares Method Basic Assumptions — Tests Required Marginal Effects, Elasticities, Predictions, Confidence Intervals Recursive Residuals and Relevant Statistics Use of Dummy Variables
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Remedies When Basic Assumptions are Violated Feasible Generalized Least Squares (FGLS) Estimators Extensions of Usual System Models Fixed Effects and Random Effects Models Models with Binary Dependent Variable Tests Required. Interpretation of the Results
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Time Series-Stationarity Vector Autoregressive (VAR) Models Co-Integration Analysis and Relevant Tests Singular Value Decomposition to Compute Co-Integration Vectors The Error Correction Models and Dynamic Simulation Models with Categorical Dependent Variable Count Models Survival Analysis Seemingly Unrelated Regression (SUR) Models
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Simultaneous Equation Models Model Identification Estimation Methods Dynamic Systems Optimal Control Systems with Random Parameters Analytical Applications
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Bibliographic Information
Book Title: Dynamic Systems in Management Science
Book Subtitle: Design, Estimation and Control
Authors: Alexis Lazaridis
DOI: https://doi.org/10.1057/9781137508928
Publisher: Palgrave Macmillan London
eBook Packages: Palgrave Business & Management Collection, Business and Management (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s) 2015
Hardcover ISBN: 978-1-137-50890-4Published: 26 June 2015
eBook ISBN: 978-1-137-50892-8Published: 29 June 2015
Edition Number: 1
Number of Pages: XIX, 399
Topics: Business Information Systems, Operations Management, Management, Economics, general, Development Economics, Operations Research/Decision Theory