The Economist

Data cited at: The Economist THE Big Mac index was invented by The Economist in 1986 as a lighthearted guide to whether currencies are at their “correct” level. It is based on the theory of purchasing-power parity (PPP), the notion that in the long run exchange rates should move towards the rate that would equalise the prices of an identical basket of goods and services (in this case, a burger) in any two countries. For example, the average price of a Big Mac in America in January 2018 was $5.28; in China it was only $3.17 at market exchange rates. So the "raw" Big Mac index says that the yuan was undervalued by 40% at that time.

This data has been collected, cleaned and analyzed by  James Tozer  and  Martín González .

The dataset has brought under the license: This software is published by [The Economist](https://www.economist.com)_ under the [MIT licence](https://opensource.org/licenses/MIT). The data generated by _The Economist are available under the [Creative Commons Attribution 4.0 International License](https://creativecommons.org/licenses/by/4.0/).

The dataset has brought under the license: This software is published by [The Economist](https://www.economist.com)_ under the [MIT licence](https://opensource.org/licenses/MIT). The data generated by _The Economist are available under the [Creative Commons Attribution 4.0 International License](https://creativecommons.org/licenses/by/4.0/).   Data details: A file containing the pairwise correlations between simulated state-level Biden vote shares across all of the model's simulations. The column and row names correspond to each state.

The dataset has brought under the license: This software is published by [The Economist](https://www.economist.com)_ under the [MIT licence](https://opensource.org/licenses/MIT). The data generated by _The Economist are available under the [Creative Commons Attribution 4.0 International License](https://creativecommons.org/licenses/by/4.0/).   Data contains: A file containing our model's most recent simulations for what could happen on election day.