Abstract

This paper is a supplement to the clio infra database on long-term government bond yield (annual average percentage). It specifies the sources used to construct the database

Author(s)

Jon Verriet & Reinoud Bosch, International Institute of Social History, Amsterdam, The Netherlands

Production date

May 3, 2012

Variable(s)

Long-term government bond yield. See text below for an explanation regarding the exact specifics of the different variables used to calculate `long-term government bond yield'

Keywords

Bond yield, long-term, interest rate, finance, government

Time period

1727-2011

Geographical coverage

World

Methodologies used for data collection and processing

Collecting cross-country OECD data on long-term government bond yields. http://stats.oecd.org/Index.aspx. Consulted: May 3, 2012. - Collecting historical data from: Homer, Sidney & Sylla, Richard (2005). A History of Interest Rates. Fourth Edition. Hoboken, NJ: Wiley. - Collecting historical data from additional sources

Period of collection

March 20, 2012 - May 3, 2012

Data collectors

Jon Verriet & Reinoud Bosch, International Institute of Social History, Amsterdam, The Netherlands


(multiple possibilities) - Indication of the quality of the data based on the following categories: i. Central statistical agencies - Data are the result of work of central statistical agencies. ii. Historical reconstructions - Data are the result of historical reconstructions making use of the methods and the broad range of data that are also used by central statistical agencies. iii. Estimates - Data are based on partial indicators and/or have limited regional spread

General references

Homer, Sidney & Sylla, Richard. A History of Interest Rates. Hoboken, NJ: Wiley, 2005 (4th ed.).

- OECD, "Long-term interest rates, Per cent per annum", Consulted: March 20, 2012,http://stats.oecd.org/Index.aspx

- Fratianni, Michele & Spinelli, Franco (1984). Italy in the Gold Standard Period, 1861-

1914. In: Michael D. Bordo & Anna J. Schwartz (Eds.), A Retrospective on the Classical Gold Standard, 1821-1931, pp. 405-54. Chicago: University of Chicago Press.

Caribbean

Anguilla[No Data]

Antigua and Barbuda1500 (5)-2013 (21)

Aruba[No Data]

Bahamas1500 (5)-2013 (23)

Barbados1500 (5)-2013 (27)

Bonaire, Sint Eustatius and Saba[No Data]

British Virgin Islands[No Data]

Cayman Islands[No Data]

Cuba1500 (8)-2012 (34)

Curaçao[No Data]

Dominica1500 (5)-2013 (20)

Dominican Republic1500 (6)-2013 (40)

Grenada1500 (5)-2013 (21)

Guadeloupe[No Data]

Haiti1500 (6)-2013 (36)

Jamaica1500 (6)-2013 (38)

Martinique[No Data]

Montserrat[No Data]

In 2010, the Netherlands Organisation for Scientific Research (NWO) awarded a subsidy to the Clio Infra project, of which Jan Luiten van Zanden was the main applicant and which is hosted by the International Institute of Social History (IISH). Clio Infra has set up a number of interconnected databases containing worldwide data on social, economic, and institutional indicators for the past five centuries, with special attention to the past 200 years. These indicators allow research into long-term development of worldwide economic growth and inequality.

Global inequality is one of the key problems of the contemporary world. Some countries have (recently) become wealthy, other countries have remained poor. New theoretical developments in economics - such as new institutional economics, new economic geography, and new growth theory - and the rise of global economic and social history require such processes to be studied on a worldwide scale. Clio Infra provides datasets for the most important indicators. Economic and social historians from around the world have been working together in thematic collaboratories, in order to collect and share their knowledge concerning the relevant indicators of economic performance and its causes. The collected data have been standardized, harmonized, and stored for future use. New indicators to study inequality have been developed. The datasets are accessible through the Clio Infra portal which also offers possibilities for visualization of the data. Clio Infra offers the opportunity to greatly enhance our understanding of the origins, causes and character of the process of global inequality.