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Please
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Data are supplied to
support academic study. Numbers and graphs are provided "as is"
without warranty of any kind. |
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Errors? |
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Did you encounter inconsistencies
or errors in the data? Please let us know by sending an
e-mail. |
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Copyright |
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The copyright for the
data is with the original sources (mostly IMF, OECD and World Bank). |
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| eur macro data |
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Macroeconomics is about understanding and explaining reality – as documented in variables like income, unemployment, wages, exchange rates, exports or inflation.
To encourage the study of real world data by making it less cumbersome, eur macro data provides important macroeconomic data series for a number of countries, along with tools to present and analyze them. These tools come in the form of two Java-based applets.
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The applet provides 21 macroeconomic time series for 19 countries. Check any series in a matrix (exemplified by the thumbnail fragment shown left) and graph them in ways taylored to the specific needs of your project. Options are:
transformation into logs, growth rates or per capita values.
customizing grid lines and line patterns.
selecting sample period, axes labelling, and much more.
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Before the cyclical comovement of two variables can be visualized and analyzed, one needs to remove long-term trends from the original time series. The algorithm used for that purpose is the Hodrick-Prescott (HP) filter.
 The HP filter is a popular method for removing the trend from a time series. The applet leaves users perfect flexibility when employing this filter. They may set a smoothing parameter to any value between the two extremes of making the trend linear or making it kling to the original time series perfectly.
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This second applet is more comprehensive than the first one. It offers all the same graphing options but, in addition, permits analyses of the statistical relationships between any pair of variables.
Information on how a variable behaves during the ups and downs of the business cycle is available at the push of a button. This cyclical behaviour may then be compared to that of any other variables. The nature of such comovement of macroeconomic variables is at the very heart of empirical research in modern macroeonomics.
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Project team:
Data compilation: Mariko Klasing, Sarah Müller
Java programming: Christian Busch
Math algorithms: Frode Brevik
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