Last year, COVID-19 changed the economy so fast that economists needed a different kind of data to help them understand it. Monthly indicators based on government survey data that take weeks to ...

For a long time, ever since financial institutions adopted technology, there has been a race to become a data warehouse of information. Let's take a look at how this applies in terms of high-frequency ...

Plotting the frequency of data falling within numeric ranges illustrates the diversity of your data. As an example, a teacher might wish to calculate and display her students' grades by tabulating the ...

A frequency table tabulates the number of times values from a data set appear within a configured range. As an example, you might have a list of employee scores and want to display the frequency of ...

When it comes to forecasting long-horizon volatility, multistep-ahead iterated forecasts using higher-frequency data can be more efficient than one-step-ahead direct forecasts using lower-frequency ...

In sectors like mobility technology, aerospace, renewable energy and utilities, and construction and infrastructure, the margin for error is virtually nonexistent. These industries require precise, ...

New surveys using mobile technology or estimation methods are allowing economists to measure poverty more often, and with more detail. The surveys can help policy makers respond more quickly to ...