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Interactive management of time series

Author

Listed:
  • Bianchi, Carlo
  • Calzolari, Giorgio
  • Corsi, Paoli
Abstract
The main purpose of this data base is to offer the researcher a supply of information which can be analyzed, revised and updated in a repetitive way. This can be accomplished by an interactive approach. It is possible to use data from the central file (official data) and from a private single user file. It is possible to write regression equations, as well as algebraic expressions defining transformations of the economic variables.

Suggested Citation

  • Bianchi, Carlo & Calzolari, Giorgio & Corsi, Paoli, 1974. "Interactive management of time series," MPRA Paper 23061, University Library of Munich, Germany, revised Nov 1974.
    • Handle: RePEc:pra:mprapa:23061
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    File URL: https://mpra.ub.uni-muenchen.de/23061/1/MPRA_paper_23061.pdf
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    Citations

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    Cited by:

    1. Bianchi, Carlo & Calzolari, Giorgio & Corsi, Paolo & Sartori, Franco & Specioso, Isidoro, 1974. "Aggiornamento del modello al 1974 e nuove simulazioni [Updating the model and new simulations for 1974]," MPRA Paper 22677, University Library of Munich, Germany, revised 1975.
    2. Bianchi, Carlo & Calzolari, Giorgio & Corsi, Paolo, 1976. "User defined functions and operators," MPRA Paper 23063, University Library of Munich, Germany, revised Sep 1976.
    3. Bianchi, Carlo & Calzolari, Giorgio & Corsi, Paolo, 1975. "DMS/2: un sistema per la soluzione e simulazione interattiva di modelli econometrici [DMS/2: a system for interactive solution and simulation of econometric models]," MPRA Paper 24881, University Library of Munich, Germany.
    4. Bianchi, Carlo & Calzolari, Giorgio & Corsi, Paolo, 1976. "Monte Carlo methods in econometrics: a package for the stochastic simulation," MPRA Paper 24538, University Library of Munich, Germany.

    More about this item

    Keywords

    Economic data base; interactive access; transformation of variables; regression analysis;
    All these keywords.

    JEL classification:

    • C87 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Econometric Software

    Statistics

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