Introduction to Estimating Economic Models

  • Format
  • Bog, hardback
  • Engelsk

Beskrivelse

The book's comprehensive coverage on the application of econometric methods to empirical analysis of economic issues is impressive. It uncovers the missing link between textbooks on economic theory and econometrics and highlights the powerful connection between economic theory and empirical analysis perfectly through examples on rigorous experimental design. The use of data sets for estimation derived with the Monte Carlo method helps facilitate the understanding of the role of hypothesis testing applied to economic models.

Topics covered in the book are: consumer behavior, producer behavior, market equilibrium, macroeconomic models, qualitative-response models, panel data analysis and time-series analysis. Key econometric models are introduced, specified, estimated and evaluated. The treatment on methods of estimation in econometrics and the discipline of hypothesis testing makes it a must-have for graduate students of economics and econometrics and aids their understanding on how to estimate economic models and evaluate the results in terms of policy implications.

Læs hele beskrivelsen
Detaljer
  • SprogEngelsk
  • Sidetal224
  • Udgivelsesdato01-12-2010
  • ISBN139780415589864
  • Forlag Routledge
  • FormatHardback
Størrelse og vægt
  • Vægt570 g
  • coffee cup img
    10 cm
    book img
    15,6 cm
    23,4 cm

    Findes i disse kategorier...

    Se andre, der handler om...

    Velkommen til Saxo – din danske boghandel

    Hos os kan du handle som gæst, Saxo-bruger eller Saxo-medlem – du bestemmer selv. Skulle du få brug for hjælp, sidder vores kundeservice-team klar ved både telefonerne og tasterne.

    Om medlemspriser hos Saxo

    For at købe bøger til medlemspris skal du være medlem af Saxo Premium, Saxo Shopping eller Saxo Ung. De første 7 dage er gratis for nye medlemmer. Medlemskabet fornyes automatisk og kan altid opsiges. Læs mere om fordelene ved vores forskellige medlemskaber her.

    Machine Name: SAXO080