TERM
01.34
From 2002 to 2005
TML filled data gaps in European transport and environment statistics for the European Environment Agency's TERM project using recent alternative sources. By analysing the consistency of trends, a confidence interval was established to create a more complete picture of the situation.
The Transport and Environment Reporting Mechanism (TERM) project of the European Environment Agency (EEA) produces several indicators based on European statistics to show how transport and the environment are doing. However, many statistical data were too incomplete to use directly, as figures for the most recent years were missing. TML was tasked with filling these gaps in the data in a statistically sound way where possible.
To do so, we used alternative, more recent sources. Based on overlapping data, the consistency of trends from both sources were checked. The squared distance between the rescaled trends was used to construct a confidence interval. However, some countries did not have alternative sources. In that case, the most similar trend from another, complete country was sought, and this trend was re-measured by calculating the squared distance between rescaled trends.
The Transport and Environment Reporting Mechanism (TERM) project of the European Environment Agency (EEA) produces several indicators based on European statistics to show how transport and the environment are doing. However, many statistical data were too incomplete to use directly, as figures for the most recent years were missing. TML was tasked with filling these gaps in the data in a statistically sound way where possible.
To do so, we used alternative, more recent sources. Based on overlapping data, the consistency of trends from both sources were checked. The squared distance between the rescaled trends was used to construct a confidence interval. However, some countries did not have alternative sources. In that case, the most similar trend from another, complete country was sought, and this trend was re-measured by calculating the squared distance between rescaled trends.
