Pooled Time Series Analysis

Klappentext Researchers have often been troubled with relevant data available from both temporal observations at regular intervals (time series) and from observations at single points of time (cross-sections). Pooled Time Series Analysis combines time series and cross-sectional data to provide the researcher with an efficient method of analysis and improved estimates of the population being studied. In addition, with more relevant data available this analysis technique allows the sample size to be increased, which ultimately yields a more effective study. Zusammenfassung Combines time series and cross-sectional data to provide the researcher with an efficient method of analysis and improved estimates of the population being studied. With more relevant data available this analysis technique allows the sample size to be increased! which ultimately yields a more effective study. Inhaltsverzeichnis Introduction Theoretical Derivation of the Pooled Time Series Model The Constant Coefficients Model The LSDV Model The Random Coefficient Model The SEQ Model Robust Estimation Summary and Conclusions

Détails du produit

• Auteurs: Lois W. Sayrs
• Collaboration: Lois W. Sayrs (Editeur)
• Edition: Sage Publications Ltd
• Langues: Anglais
• Format d'édition: Livre de poche
• Sortie: 12.07.1989
• EAN: 9780803931602
• ISBN: 978-0-8039-3160-2
• Pages: 80
• Thèmes: Quantitative Applications in the Social Sciences; Quantitative Applications in t; Quantitative Applications in the Social Sciences; Quantitative Applications in t
• Catégories: Littérature spécialisée > Nature, technique > Astronomie: général, ouvrages de référence; Sciences naturelles, médecine, informatique, technique > Mathématiques > Théorie des probabilités, stochastique, statistiques; SCIENCE / Physics / General, Physics