Measuring the Past: Free Digitized Sources of Historical International Economic Information
Kelly Evans, Jeanie M. Welch
Abstract
Kelly Evans, Jeanie M. Welch
Abstract
Although international economic statistics from the 1950s to the present are freely available, finding historical international economic statistics (e.g., statistics prior to World War II) can be challenging. This article discusses the development of international economic statistics, traditional sources of historical data, and the availability of free, historical economic statistics from selected international sources, government agencies, digitization projects, and Web portals. This article includes examples of two hypothetical cases for historical economic statistics—trade statistics for Argentina and prewar statistics for the metal industries of Sub-Saharan Africa.
OpenAlex reports 1 citations for this work. Citation counts describe recorded attention and do not establish research quality.
A contribution statement is not available in the OpenAlex record.
Method details are not available in the OpenAlex metadata.
Findings are not separately available in the OpenAlex metadata.
Limitations are not available in the OpenAlex metadata.
Application details are not available in the OpenAlex metadata.
Although international economic statistics from the 1950s to the present are freely available, finding historical international economic statistics (e.g., statistics prior to World War II) can be challenging. This article discusses the development of international economic statistics, traditional sources of historical data, and the availability of free, historical economic statistics from selected international sources, government agencies, digitization projects, and Web portals. This article includes examples of two hypothetical cases for historical economic statistics—trade statistics for Argentina and prewar statistics for the metal industries of Sub-Saharan Africa.
Key concepts: Economic statistics, Digitization, Official statistics, Statistics, Summary statistics, Government (linguistics), Economic analysis, Economics