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2016, Jahrbücher für Nationalökonomie und Statistik
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15 pages
1 file
AI-generated Abstract
This article presents the German Time Series Dataset that spans from 1834 to 2012, addressing the gap in historical macro-data for Germany, which has often been overlooked in international analyses. It outlines the project's background, structure, and the compilation of essential historical time series that includes detailed explanations of data access and documentation. The dataset aims to provide reliable reference statistics for various subject areas, making significant contributions to the understanding of historical economic and demographic trends in Germany.
IMF Staff Country Reports, 1998
Area and population Total area Total population (1997) GDP per capita (US dollar) Germany: Basic Data 357,041 square kilometers 82.2 million 25,6 thousand Germany Demand and supply Private consumption Public consumption Gross fixed investment Construction Machinery and equipment Inventory accumulation 2/ Total domestic demand Exports of goods and nonfactor services Imports of goods and nonfactor services Foreign balance 2/ GDP Western Eastern 1993-5-Germany: Basic Data (concluded)
1981
Die Deutsche Forschungsgemeinschaft und die Stiftung Volkswagenwerk finanzieren zwei getrennte, aber thematisch zusammenhängende Forschungsprojekte über Wahlen und das Wahlverhalten in der Weimarer Republik und Österreich. Beide Forschungsteams arbeiten unter der Leitung von J. Falter an der Hochschule der Bundeswehr in München. Der größte Teil ihrer Arbeit greift, neben anderen Quellen, auf die vielbenutzte Datensammlung 'German Weimar Republic Data 1919 - 1933' (ICPSR Nr. 0042) zurück, die in der BRD vom Kölner Zentralarchiv für europäische Sozialforschung betrieben wird.
MPIDR Working Papers, 2010
The paper presents the project of an aggregative reconstruction of the population of Germany from the sixteenth century to 1840, when official statistics began to provide complete coverage of all German states. The creation of estimates of population size and of annual series of the crude birth, marriage and death rates rests on three types of sources: First, pairs of partial censuses of hearths, taxpayers, communicants, etc. for the same regional aggregate at two different points in time are used to derive annual growth rates of population. This information is used to derive approximate estimates of total population size in ten-year intervals. Second, to develop aggregate series of vital events the project aims to analyse approximately 450 to 600 parish registers. Third, the project makes use of protostatistical material on population size and the number of vital events that states began to collect selectively from c. 1740. On the basis of material from Gehrmann , from published studies on c. 140 parishes and from selected other sources we construct a preliminary dataset for the period 1730-1840. Our cumulative rates of natural increase are broadly consistent with independent estimates of population growth. We use these series for two explorative analyses: First, on the basis of inverse projection we generate tentative estimates of the gross reproduction rate, of life expectancy and the dependency ratio. The results suggest an increase of the life expectancy and of the dependency ratio, the latter being the result of persistent population growth. Second, by adding a real wage series we study Malthusian adaptation with two methods, namely, VAR and time varying cumulated lag regression. The results consistently suggest the presence of both the preventive and the positive check during the eighteenth century. Whereas the preventive check persisted into the nineteenth century, mortality became exogenous in the early nineteenth century. Particularly the 1810s turn out as a period of major change in at least three dimensions: real wages increased, life expectancies rose, and the positive check disappeared. Thus, Germany became a non-Malthusian economy well before the advent of industrialisation. Additional information suggests that market integration was a driving force behind this process.
This paper is based on the archival sources of the German industrial census of 1936. Originally, this census and its forerunner of 1933 had actually been designed by the German Imperial Statistical Office (StRA) to compile an input-output-table for Germany as a basis for managing the business cycle. In connection with rearmament, however, this endeavour was given up and instead, these data were used for constructing detailed material balance sheets, which served as a statistical basis for preparing the war. Based on these hitherto secret records and additional statistical information we have been busy to fulfil the original plan of the StRA of constructing the desired input-output table. Here we present an interim result covering the entire manufacturing sector in detail, agriculture and aggregate figures. The new benchmark for gross national product (GNP) with its components for the production and expenditure side deviates significantly from Hoffmann�s et al. well-known figures.
SSRN Electronic Journal, 2000
IMF Staff Country Reports, 1996
Area and population Total area Total population (1995) GDP per capita (US dollar) Germany: Basic Data 357,041 square kilometers 81.8 million 29.6 thousand Germany Demand and supply Private consumption Public consumption Gross fixed investment Construction Machinery and equipment inventory accumulation I/ Total domestic demand Exports of goods and nonf actor services Imports of goods and nonf actor services Foreign balance I/ GDP Western Eastern Labor force Employment Unemployed In percent of labor force Western Eastern Prices and incomes GDP deflator Consumer price index Western Eastern Average hourly earnings (industry) Unit labor costs (total economy) Real disposable income 2/ Personal saving ratio (In percent) 1992 I/ Change as percent of previous year's GDP. 2/ Deflated by the national accounts deflator for private consumption. (Percantage changes at 1991 prices) Banlesent and unemployment ©International Monetary Fund. Not for Redistribution vii-Germany: Basic Data (concluded) Germany Public finances I/ General government Expenditure Revenue Financial balance (In percent of GDP) Deficit of the territorial authorities (In percent of GDP) Borrowing requirement of the Treuhand Federal government Financial balance (In percent of GDP) General government debt (In percent of GDP) Balance of payments Trade balance (f .o.b./f .o.b.) 2/ Services balance Net private transfers Net official transfers Current account (In percent of GDP) Foreign exchange reserves (e.o.p) Monetary data Money and quasi-money (M3) Domestic bank lending Of which lending to: Public authorities Private nonbanks CHART 1-3 Germany Confidence, Orders, Inventory-Sales Ratio, and Production i ' B ' if * Sources: Deutsche Bundesbank; Bundesministerium fuer Wirfschaft; IFO Institute; IMF, International Financial Statistics and staff calculations. I/ Data prior to 1991 are for West Germany only. 2/ Percentage of those surveyed expecting an improvement in their situation, less percentage expecting a deterioration.
Data-Driven Policy Impact Evaluation, 2018
In Germany, as in other countries, social security data offer a great opportunity for producing cutting-edge empirical analyses. They are the basis for answering relevant research questions as well as for evaluation studies and evidence-based policy-making. Data resources are especially valuable if they are linked to establishment and individual survey data. As the research unit of the Federal Employment Agency, the Institute for Employment Research (Institut für Arbeitsmarkt-und Berufsforschung (IAB)) is responsible for extracting data from administrative processes to produce microdatasets that can be used for empirical research on a wide range of labor market topics. In the past, the data were generally kept within the organization, which not only led to a drastic underutilization of the data resources but also limited collaboration projects with national and international academic scholars. There were only rare examples of knowledge spillovers from the international research community to the Institute's research projects. With some major exceptions, researchers at the Institute faced difficulties in keeping pace with the enormous evolution of (micro-) econometric methods. As a consequence, data analysis was mainly descriptive, and publication in refereed international journals was the exception rather than the rule.
Jahrbuch für Wirtschaftsgeschichte / Economic History Yearbook, 2005
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