Short answer

When forecasting or planning for products influenced by economic conditions, account for the potential impact of discrete, significant external events.

Field
Modelling
Source
Bulletin of Monetary Economics and Banking (2010)
Method
Econometric modelling
Evidence
Strong effect

External events, such as economic crises, policy changes, and natural disasters, demonstrably influence consumer price index (CPI) fluctuations, requiring multi-input models for accurate prediction. This modelling research insight is drawn from a 2010 study published in Bulletin of Monetary Economics and Banking. Using Econometric modelling, researchers explored how this design variable affects real-world outcomes. The key design takeaway: When forecasting or planning for products influenced by economic conditions, account for the potential impact of discrete, significant external events.

Study
ModellingHigh ImpactStrong effect

Economic Interventions Significantly Impact Consumer Price Index Fluctuations

External events, such as economic crises, policy changes, and natural disasters, demonstrably influence consumer price index (CPI) fluctuations, requiring multi-input models for accurate prediction.

Bulletin of Monetary Economics and Banking · 2010

01

Key Findings

  • 01Multiple external events significantly affected the Indonesian CPI.
  • 02Most events had a positive impact on CPI, with some exceptions showing negative effects.
02

Application

Design takeaway

When forecasting or planning for products influenced by economic conditions, account for the potential impact of discrete, significant external events.

How to apply

When developing financial projections or market entry strategies, research and integrate data on historical economic shocks and policy changes relevant to the target market.

Project actions

  • 01Clearly define the scope of 'events' you will investigate.
  • 02Ensure your chosen model can handle multiple influencing factors simultaneously.
03

Method & Evidence

AimTo develop a multi-input intervention model that quantifies the magnitude and duration of the impact of specific events on the Indonesian Consumer Price Index.
MethodEconometric modelling
ProcedureA multi-input intervention model was developed and applied to historical Indonesian CPI data. Various events, including financial crises, fuel price changes, and base year adjustments, were incorporated as intervention variables to assess their effects on CPI.
ContextMacroeconomics, Economic forecasting, Policy analysis

Variables

IVSpecific economic/societal events (e.g., financial crisis, fuel price rise, base year change).
DVConsumer Price Index (CPI) fluctuations.
CVTime period, underlying economic trends not attributed to specific interventions.
04

Strengths & Limitations

Strengths

  • +Addresses the complexity of multiple influencing factors.
  • +Provides a quantitative measure of event impact.

Limitations

It can be challenging to isolate the exact impact of one event from others happening concurrently.

Reliability & validity

The reliability of the model depends on the consistency of the data and the accurate classification of intervention events. Validity is enhanced by the model's ability to explain historical CPI changes.

Think critically

How might the 'magnitude' and 'duration' of an event's impact differ across various product categories or industries?

05

Design Principles

"Economic forecasting models should be robust enough to incorporate the influence of discrete, identifiable external interventions."

Understanding the impact of various external factors on economic indicators like CPI is crucial for businesses and policymakers. This knowledge allows for more informed strategic planning, risk assessment, and the development of effective economic policies.

06

What This Means for Your Design

Big events like economic crises or changes in fuel prices can really change the cost of things people buy, and we can use math to figure out how much they change it.

How to use in your project

  • 1.Use this research to justify the inclusion of specific external factors in your own predictive models or market analyses.
07

Add to My Project

08

Quick Cite

Paragraph starter

This study highlights the significant influence of external events on economic indicators, demonstrating that factors such as economic crises and policy shifts can cause measurable fluctuations. This underscores the importance of incorporating such variables when developing predictive models for design projects, as market conditions are not static and can be significantly altered by discrete occurrences.

09

Source

Bulletin of Monetary Economics and Banking

MODELING OF INDONESIA CONSUMER PRICE INDEX USING MULTI INPUT INTERVENTION MODEL

journal · 2010

View source

Questions About This Research

What does the research say about economic interventions significantly impact consumer price index fluctuations?
When forecasting or planning for products influenced by economic conditions, account for the potential impact of discrete, significant external events. Evidence: Bulletin of Monetary Economics and Banking (2010).
Why does "Economic Interventions Significantly Impact Consumer Price Index Fluctuations" matter for design?
Understanding the impact of various external factors on economic indicators like CPI is crucial for businesses and policymakers. This knowledge allows for more informed strategic planning, risk assessment, and the development of effective economic policies.
How can designers apply this research?
When forecasting or planning for products influenced by economic conditions, account for the potential impact of discrete, significant external events.
What were the main findings?
Multiple external events significantly affected the Indonesian CPI.. Most events had a positive impact on CPI, with some exceptions showing negative effects.
What research method was used?
Econometric modelling.
How strong is the evidence?
Evidence strength is rated Strong effect, based on a 2010 journal from Bulletin of Monetary Economics and Banking.
What should I do differently in my next project?
When developing financial projections or market entry strategies, research and integrate data on historical economic shocks and policy changes relevant to the target market.
What are the limitations?
The model's accuracy is dependent on the correct identification and quantification of all relevant intervention events and their specific impacts.