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Aggregate data are applied in statistics, data warehouses, and in economics. There is a distinction between aggregate data and individual data. Aggregate data refers to individual data that are averaged by geographic area, by year, by service agency, or by other means. [ 2 ]
Economic data are data describing an actual economy, past or present. These are typically found in time-series form, that is, covering more than one time period (say the monthly unemployment rate for the last five years) or in cross-sectional data in one time period (say for consumption and income levels for sample households).
In input-output analysis, disaggregated data on gross and net outputs of different economic sectors and sub-sectors is used to study the transactions between them. Thus, for example, a sector purchases inputs from several other sectors and sells outputs to several other sectors.
Data aggregation is the compiling of information from databases with intent to prepare combined datasets for data processing. [1] Description
Spatial data configuration in then statistical analysis of regional economic and related problems. Dordrecht: Kluwer Academic Publishers. This article contains quotations from Modifiable areal unit problem at the GIS Wiki, which is available under the Creative Commons Attribution 3.0 Unported (CC BY 3.0) license.
A data economy is a global digital ecosystem in which data is gathered, ... and institutions to create economic value. [1] [2] The raw data is collected by a variety ...
Austrian theorist Henry Hazlitt argued that aggregate demand is "a meaningless concept" in economic analysis. [10] Friedrich Hayek , another Austrian, wrote that Keynes' study of the aggregate relations in an economy is "fallacious", arguing that recessions are caused by micro-economic factors.
The data divide is the unequal relationship between those capable of collecting, storing, mining, ... including education, economic income, race, and gender. [2]