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OBSERVABLE AND UNOBSERVABLE DETERMINANTS OF REPLACEMENT OF HOME APPLIANCES Viviana Fernandez Assistant Professor Department of Industrial Engineering University of Chile Postal: Agenda Republican

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What is time-scale decomposition of price?

Time-scale decomposition of price is a method used to analyze the fluctuation of prices over different time periods. It involves breaking down the price series into its underlying components, including trend, seasonality, cyclical patterns, and random fluctuations.

Who is required to file time-scale decomposition of price?

Time-scale decomposition of price is typically performed by economists, analysts, or researchers who are studying price movements or conducting market analysis. It may also be required by regulatory agencies or organizations involved in pricing policies or market surveillance.

How to fill out time-scale decomposition of price?

To fill out time-scale decomposition of price, you need to first collect the historical price data for the specific time period you want to analyze. Then, using statistical or econometric techniques, you can decompose the price series into its components. This can be done using various methods such as moving averages, exponential smoothing, or Fourier analysis. Finally, you can present the decomposition results visually through plots or charts.

What is the purpose of time-scale decomposition of price?

The purpose of time-scale decomposition of price is to understand and identify the different patterns and factors that contribute to the overall price movement. By breaking down the price series into its components, analysts can gain insights into the underlying trends, seasonal fluctuations, or cyclical patterns that may exist in the data. This analysis can help in making informed decisions related to pricing strategies, market forecasting, or policy formulation.

What information must be reported on time-scale decomposition of price?

The information reported on time-scale decomposition of price includes the identified components of the price series, such as the trend, seasonality, cyclical patterns, and random fluctuations. Additionally, it may also include statistical measures or indicators that quantify the strength or significance of these components, such as growth rates, seasonal indices, or amplitude of cycles.

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