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    18 research outputs found

    Taxation, regulation and the information efficiency of the Berlin stock exchange, 1892-1913

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    We calculated a daily stock market index for the Berlin Stock Exchange. Data appendix to: Sergey Gelman/Carsten Burhop: Taxation, regulation and the information efficiency of the Berlin stock exchange, 1892–1913, in: European Review of Economic History, 12 (2008)/1, S. 39–66, https://doi.org/10.1017/S1361491608002104

    Georeferenced data on German population and population density in 1816

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    The shapefile contains estimates for population and area in 1816 of 93 German territories comprising 25 states or groups of small states and 67 higher-level administrative units in larger states. The latter consist of Regierungsbezirke in the Kingdom of Prussia, and Kreise, Landdrosteien etc. in other states. Population data are treated following the principles established by Fertig et al. (2018). The area covered refers to the nation state of 1871 without Alsace-Lorraine

    Courland Census Microdata, 1803–1804

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    oai:emporion.gswg.info:emporion_mods_00000034The database contains information on individuals coded from the 1803-1804 census lists of six towns in Courland. This cross-sectional data documents social, demographic and economic life in the multinational Baltic urban millieu. The original documents are kept at the Herder Institute in Marburg and at the Latvian State Historical Archives in Rīga. The data is provided as a comma separated CSV UTF-8 file along with a readme file. The database consists of 39 variables. First 30 variables adhere to coding standards defined in Siegfried Gruber's "Mosaic data files: Documentation of harmonized variables, Version 1.9 Mosaic 1.9" (https://assets.ipums.org/_files/mosaic/mosaic_data_files_harmonized_variables_version_1.9.pdf). Additional variables are: archive Data type: string. Name of the archives in which the source is held. LVVA for Latvian State Historical Archives. geonameid Data type: integer. Unique code of the place according to the Geonames gazetteer (see http://geonames.org). illness_or Data type: string. Diseases and disabilities of a person if specified in the source. notes Data type: string. Additional notes provided in the source. place_document Data type: string. German name of the place where a person was enumerated. place_origin Data type: string. Place of origin of a person as indicated in the source. ref_no Data type: string. Call number of the source. relig_or Data type: string. "Nationality" in the original wording. sheet_no Data type: string. Sheet number in the archival file in which the record was registered

    Die Geografie der deutschen Börsen im Wandel: Börsennotierte Firmen in Deutschland 1937

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    Datenanhang zu: Sibylle Lehmann-Hasemeyer/Carsten Burhop: Die Geografie der deutschen Börsen im Wandel (1913-37), in: Bankhistorisches Archiv 40 (2016)/1-2, S. 23-37

    Jewish Prosopographic Database (Jewish PID) und Jewish Business Partnerships (JeBuPa)

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    Räume bzw. Orte mit ausgeprägter jüdischer Siedlungskonzentration befanden sich im frühneuzeitlichen Reich oft in Gebieten, die von kleinräumigen und ungeschlossenen territorialen Verhältnissen geprägt waren. Das DFG-Projekt Fraktalität und die Dynamiken jüdischer Lebensformen im Süden des Alten Reiches geht von der Annahme aus, dass diese spezifischen Strukturen für die Existenz von Juden verantwortlich waren und fragt danach, wie die jüdischen Akteure diese zu nutzen wussten. Im Projekt wurde dieses Konzept mit den Methoden der Netzwerkanalyse verbunden, woraus sich Möglichkeiten ergaben, die Kategorie des Raums sozialgeschichtlich für die jüdische Geschichte fruchtbar zu machen sowie die territorialpolitische Komplexität jüdischer Siedlungsräume in ihrer Wirkung und Bedeutung erstmals umfassend zu beschreiben und zu erklären. Derart komplexe politische Strukturen kommen in besonderer Weise Akteuren entgegen, die es gewohnt waren, in multipolaren Netzwerken zu agieren, wie es für weite Teile der jüdischen Bevölkerung der Vormoderne nachgewiesen ist. Im Projekt Religiöse Differenz und wirtschaftliche Kooperation. Christlich-jüdische Geschäftsbeziehungen wurde nachgewiesen, dass es eine deutlich engere Zusammenarbeit dieser beiden Religionsgruppen im wirtschaftlichen Bereich als bisher angenommen, gegeben hat. Um diese Netzwerke offenzulegen, wurden im Rahmen der an der KU Eichstätt-Ingolstadt laufenden DFG-Projekte zwei relationale Datenbanken erstellt, die ab jetzt online zur Verfügung stehen werden. Nähere Informationen zur inhaltlichen Konzeption der Datenbanken finden sie im Dokument „Jewish Prosopographic Database (Jewish PID) und Jewish Business Partnerships (JeBuPa)“

    Data Sources on the 19th and Early 20th Century German Capital Market. Challenges and Opportunities: A daily bank performance index 1920-1931

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    It is a share index derived from the daily prices of 39 banks listed on the Berlin Stock Exchange. The Excel file contains both the indices presented in the paper and the underlying raw data

    Determinants of mine closures in a declining industry: The example of West German hard-coal mining after World War Two

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    Data appendix to: Tobias A. Jopp: Determinants of mine closures in a declining industry: The example of West German hard-coal mining after World War Two, in: Economics Letters 226, 2023, 111096. https://doi.org/10.1016/j.econlet.2023.11109

    War, Bond Prices, and Public Opinion: How Did the Amsterdam Bond Market Perceive the Belligerents' War Effort During World War One?

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    This dataset contains additional data underlying the monograph "War, Bond Prices, and Public Opinion" (2021). For a discussion of the data, please turn to the study's data section, the corresponding Online Appendix availabe on the homepage of Mohr Siebeck (https://www.mohrsiebeck.com/buch/war-bond-prices-and-public-opinion-9783161595363?), and Jopp, Tobias A.: Contemporaries’ opinion on the Allied and Central Powers’ performance during the First World War: Measuring perceptions with sovereign debt prices, in: European Review of Economic History 20(2), 2016, pp. 242-273. https://doi.org/10.1093/ereh/hew001 Contents (daily frequency): - Prolongatiekoers at Amsterdam Stock Exchange (1/1/1914-31/12/1919); - Selected exchange rates at Amsterdam Stock Exchange (1/7/1914-31/12/1919); - Selected Dutch municipal bonds' prices at Amsterdam Stock Exchange (1/1/1914-31/12/1919); - Selected Dutch companies' stock prices at Amsterdam Stock Exchange (1/1/1914-31/12/1919

    China's Overseas Lending: Replication dataset

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    Compared with China's pre-eminent status in world trade, its role in global finance is poorly understood. This paper studies the size, terms and destination of Chinese official international lending on the basis of a new “consensus” database of 4900 loans and grants to 146 countries, 1949–2017. Using the loan-level lending data we estimate outstanding debt stocks owed to China for more than 100 developing and emerging economies since 2000. As of 2017, China had become the world's largest official creditor, surpassing the World Bank and the IMF. The terms of China's state-driven international loans typically resemble commercial rather than official lending. We also find that 50% of China's official lending to developing countries is not reported in the most widely used official debt statistics. These “hidden” debts have important implications for debt sustainability

    More Than a Feeling: Dataset on media sentiment regarding the Berlin Stock Exchange

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    Financial economists and psychologists agree that collective sentiment plays a crucial role in financial markets. We present our newly created data for a daily aspect-based index that captures the sentiment at the Berlin Stock Exchange from 1872 to 1930, a time when Berlin was the key financial market in Germany. This index is based on market reports published every trading day in the Berliner Börsen-Zeitung, which give a verbal description of the sentiment among market participants. Due to daily publication and the long observation period, our corpus consists of about 18,000 market reports. To derive sentiment values, we apply a combination of expert annotation and machine learning. Methdologically, this data covers two novel aspects: First, we focus on both historical and highly domain-specific language, a dual challenge that thus far has rarely been addressed. As there are many similar historical sources, such as reports by chambers of commerce, our solutions will be helpful for future research. Second, we address a characteristic but neglected feature of financial texts that might be relevant also in a broader sentiment analysis context. Particularly, we focus on aspect- and entity-based sentiment analysis. Note: The data was generated in the project „More Than a Feeling: Media Sentiment as a Mirror of Investors’ Expectations at the Berlin Stock Exchange, 1872-1930

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