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Econometric Views, often stylized as EViews, is a package that merges statistical analysis with econometric studies. It is designed to provide tools for time series analysis, forecasting, and econometric model simulation. The software originated from MicroTSP software and has evolved significantly since its inception in 1981. The history of EViews is marked by a continuous effort to enhance its computational speed and user interface. It was initially developed for large computing systems but...
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Quantitative analysis is a technique for measuring the amount of specific constituents in a sample. When the sample's composition is unknown, qualitative analysis is performed first to identify its components, which ensures that the correct substances are measured during the quantitative phase.
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Exponential Equations for Modeling Growth02:33

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Exponential models are essential for describing rapid, multiplicative changes in natural systems, such as population growth. When a population doubles at regular intervals, the process can be modeled using a suitable base. For instance, a bacterial culture that doubles every three hours follows the model n(t)=n0⋅2t/3, where n(t) is the population at the time t.A more general model uses the natural base e, especially for continuous growth. This takes the form n(t)=n0⋅ert, where r is...
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The rate of change is a central concept in mathematics that quantifies how one variable varies in response to another. It serves as a foundational tool in modeling dynamic systems across disciplines such as physics, biology, economics, and engineering. Understanding both average and instantaneous rates of change enables the analysis of behavior in functions that describe real-world phenomena.Average Rate of ChangeFor a function f(x) defined over an interval [x1,x2], the average rate of change...
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Related Experiment Video

Updated: Mar 6, 2026

Breakfast Habits among Schoolchildren in the City of Uruguaiana, Brazil
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Measuring complexity in Brazilian economic crises.

Letícia P D Mortoza1, José R C Piqueira1

  • 1Laboratório de Automaçãoe Controle/Escola Politécnica, Universidade de São Paulo, Avenida Prof. Luciano Gualberto, travessa 3 - 158, São Paulo-Brazil.

Plos One
|March 17, 2017
PubMed
Summary

Capital flows impact foreign exchange rates and stock prices. Complexity measures reveal potential links between these macroeconomic variables and economic crises in Brazil.

Area of Science:

  • Economics
  • Econometrics
  • Financial Markets

Background:

  • Capital flows significantly influence macroeconomic parameters like foreign exchange rates and stock prices.
  • Economic crises can arise from volatility in capital flows triggered by social, political, or economic events.
  • Understanding the relationship between macroeconomic variables and crisis events is crucial for economic stability.

Purpose of the Study:

  • To investigate the relationship between foreign exchange rates, stock prices, and economic crisis events.
  • To apply complexity measures, specifically Lopez-Mancini-Calbet (LMC) and Shiner-Davison-Landsberg (SDL), to analyze macroeconomic time series.
  • To explore the potential connection between economic events in Brazil and the calculated complexity measures.

Main Methods:

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  • Utilizing the Lopez-Mancini-Calbet (LMC) complexity measure.
  • Employing the Shiner-Davison-Landsberg (SDL) complexity measure.
  • Analyzing temporal series data for the Ibovespa index and the "dollar-real" exchange rate in Brazil.

Main Results:

  • The study calculated LMC and SDL complexity measures for the Ibovespa and "dollar-real" parity.
  • Analysis of the temporal evolution of these complexity measures was performed.
  • Preliminary findings suggest a potential relationship between the complexity measures and significant events in the Brazilian economy.

Conclusions:

  • The complexity measures (LMC and SDL) may serve as indicators for economic events and crises.
  • Further research is warranted to solidify the link between macroeconomic complexity and crisis occurrences.
  • The methodology can be applied to other time series in different economic contexts.