Statistical and big data analysis
Our economists can draw on large sets of data to enrich findings, find correlations, and uncover new insights.
Finding meaning in vast amounts of internal and external data can set your thought leadership apart. ThoughtLab’s microeconomists have the econometric skills to mine, process, and analyze extremely large and complex sets of data, with millions of observations, correlations, and variables.
Our team has helped large organizations extract higher value from data through big data analytics. We have used such analysis to understand the future of work, and latest citizen views on the pandemic and cities, and have used cluster analysis to understand customer needs.
The shadow economy, sometimes called the informal or underground economy, comprises economic activity that takes place outside of formal channels—generally to avoid governmental scrutiny and taxation—and is not included in the officially calculated gross national product (GNP). It results in significant social, economic, cultural, and political challenges. To better understand the impact of the shadow […]Read More