The following are links to csv files containing selected data from the US National Income and Product and Product Accounts (NIPA) and a constructed measure of the US capital stock:

- Annual: levels and growth rates
- Quarterly: levels and growth rates

The data also use contain a measure of the US capital stock also in terms of billions of constant dollars. I constructed the capital stock series from the GDP and private domestic investment series using the perpetual inventory method (see Hall and Jones (1999) or Timothy Kehoe's notes for a description of the method). The Python code used to construct the datasets is available from this Github repository.

Inflation expectations have an important role in macroeconomic theory but most people do not have the expertise to form precise mathematical expectations of future inflation rates.

Below is a link to a dataset containing historical forecasts of the one-year ahead inflation rate:

The data are annual from 1970 and contains the forecast one-year ahead GDP deflator inflation rate, the actual one-year ahead GDP deflator inflation rate, and the one-year T-Bill rate.I constructed the dataset using data from the Federal Reserve Bank of Philadelphia Survey of Professional Forecasters and Federal Reserve Economic Data - FRED. I used the median (as opposed to the mean) forecast values reported. Find the code used to generate the dataset in this Github repository.