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Climate classification is essential for buildings because it influences the planning and design of a building, its orientation, building geometry and design of building envelopes such as walls, roofs and openings. In the event of climate change, the existing classifications must be revised or...
Persistent link: https://www.econbiz.de/10014517585
In this paper, an Unobserved Components Model is employed to decompose German real GDP into the trend, cycle and seasonal components and the working day effect. The most important findings are: 1) The growth rate of potential output declined from 4.2 per cent in the sixties to 1.4 per cent at...
Persistent link: https://www.econbiz.de/10010315323
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In this paper, an Unobserved Components Model is employed to decompose German real GDP into the trend, cycle and seasonal components and the working day effect. The most important findings are: 1) The growth rate of potential output declined from 4.2 per cent in the sixties to 1.4 per cent at...
Persistent link: https://www.econbiz.de/10011409368
. This study investigates the season-varying association between particulate matter less than or equal to 10 ?m in …
Persistent link: https://www.econbiz.de/10011579001
The challenges of providing insurance to Indian agricultural sector in a manner that is both meaningful and sustaining. Critical assessment of the existing initiative and present possible options for improvement are presented. [NABARD Occasional Paper No. 44]....
Persistent link: https://www.econbiz.de/10009653329
. This study investigates the season-varying association between particulate matter less than or equal to 10 ?m in …
Persistent link: https://www.econbiz.de/10011663437
In this paper, an Unobserved Components Model is employed to decompose German real GDP into the trend, cycle and seasonal components and the working day effect. The most important findings are: 1) The growth rate of potential output declined from 4.2 per cent in the sixties to 1.4 per cent at...
Persistent link: https://www.econbiz.de/10005405783