Forecasting in small business management

Artikel

This work aims to verify an authorial forecasting method from a system of interdependent equations, which is based on empirical equations of the structural form and is mainly intended for econometric micromodels. The prediction procedure will be analogous to the so-called chain prediction that is used for recursive models. The difference-compared with the prediction from a recursive model-entails the necessity of using one of the reduced-form empirical equations to begin the procedure of constructing a sequence of forecasts from successive structural-form empirical equations. The research results presented above indicate that the above-proposed iterative forecasting method from structural-form equations of a system of interdependent equations guarantees synchronization of forecasts as part of a closed cycle of relations. A different number of iterations is required to obtain convergent forecasts. It can be noticed that the further ahead the forecasted period is, the more iterations should be carried out to obtain convergent forecasts. Small business management with the use of forecasting can be done remotely. Rapid updates of statistical information will require cloud-based communication. Completion of data in a cloud will allow, on one hand, accurate assessment of expired forecasts and, on the other, to update the predictor equations. This can be carried out at any place with Internet access.

Object Details

• Language: Englisch

References and Relationships

• Bibliographic citation: Journal: Risks ; ISSN: 2227-9091 ; Volume: 9 ; Year: 2021 ; Issue: 4 ; Pages: 1-17 ; Basel: MDPI

Classification and Topics

• Classification: Wirtschaft ; Multiple or Simultaneous Equation Models; Multiple Variables: General ; Multiple or Simultaneous Equation Models: Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models ; Production; Cost; Capital; Capital, Total Factor, and Multifactor Productivity; Capacity
• Subject: econometric forecasting ; econometric micromodel ; small business management ; small industrial enterprise ; synchronization of forecasts

Contributors, Places and Time

• Event: Geistige Schöpfung
• (who): Wiśniewski, Jerzy W.
• Event: Veröffentlichung
• (who): MDPI
• (where): Basel
• (when): 2021

Further information

• DOI: doi:10.3390/risks9040069
• Handle: http://hdl.handle.net/10419/258158
• Last update: 10.03.2025, 11:45 AM CET