"macro level data" is a correct and commonly used phrase in written English.
It refers to larger and more general data sets or information, as opposed to micro level data which is more specific and detailed. Example: The study examined macro level data from countries around the world to analyze global trends in income inequality.
At the macro level, data is embedded in every decision Facebook makes, Parkih explained.
Finally, linking this data to TREE data, we can measure job opportunities at the micro level and, unlike most existing research, we no longer need to rely on aggregate macro level data such as regional unemployment rates.
In order to explain disparities at this particular educational transition, we not only control for individual characteristics (social origins, GPA, educational aspirations, gender) and institutional constraints (type of school attended at lower secondary level) but also use macro level data to consider the regional opportunity structure.
Using a variety of macro level data sources on illegal fishing for 72 countries Marteache and her colleagues concluded that illegal fishing vessels are more likely to offload their catches in ports dealing with large volumes of fish imports/exports where it is easier to conceal illegal catches.
Yet another report counted mainland Chinese-sounding names on sales records for luxury homes that were priced at C$3m and more: 74% of the buyers ticked this box.Another option is to look at macro-level data.
(We wrote about some of this research here).Oscar Jorda, Moritz Schularick, and Alan Taylor used macro-level data from 14 different developed countries from 1870 through 2008 in a recent paper to show that the amount of private borrowing in a boom predicts the depth of the subsequent bust.
That also fits with the macro-level data for the UK.
The changing costs of data collection and the new capabilities that researchers have to conduct research that leverages micro-level, meso-level and macro-level data suggest the possibility of a scientific paradigm shift toward computational social science.
Other studies fall further from the hedonic pricing genre, such as Tomlinson and Branston (2014), which uses macro-level data to estimate price elasticities in the UK beer market.
Matthew Stepp, an analyst at the Information Technology & Innovation Foundation, a Washington, D.C., think tank, liked the move but in a statement said the United States also needs "to invest more in global Earth observation programs and monitoring systems that can provide the macro-level data necessary to prepare for rapid changes in the global environment and reduce associated impacts".
Relying on macro-level data on economic and education indicators of Turkey, this chapter aims to document structural characteristics of higher education in Turkey and depict the underlying policy issues limiting access into tertiary education among disadvantaged segments of the society.
