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Die „Frankfurter Schule“ in der Statistik und ihre Folgen

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  • Peter Lippe

Abstract

“Frankfurt School” (FSS) here denotes a group of statisticians (three generations of professors at the University of Frankfurt/Germany). The period in which FSS was fairly active and influential covered about six decades beginning in the 1920ies. The school focused “understanding” and verbal interpretation of statistics rather than developing mathematically advanced methods in statistics. It deliberately emphasized problems of descriptive and official statistics at the expense of a more “formal” approach. Hence one of the consequences of the temporary sway of the FSS in German statistics was Germany’s lagging behind in the respective fields of Statistics after the Second World War. Copyright Springer-Verlag Berlin Heidelberg 2013

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  • Peter Lippe, 2013. "Die „Frankfurter Schule“ in der Statistik und ihre Folgen," AStA Wirtschafts- und Sozialstatistisches Archiv, Springer;Deutsche Statistische Gesellschaft - German Statistical Society, vol. 7(1), pages 71-89, August.
    • Handle: RePEc:spr:astaws:v:7:y:2013:i:1:p:71-89
    DOI: 10.1007/s11943-013-0129-y
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    References listed on IDEAS

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    1. Roderich Egeler & Thomas Wöll & Markus Zwick, 2012. "Perspektiven für die amtliche Statistik," AStA Wirtschafts- und Sozialstatistisches Archiv, Springer;Deutsche Statistische Gesellschaft - German Statistical Society, vol. 5(4), pages 269-284, March.
    2. Klein, Ingo, 2004. "Grundlagenstreit in der Statistik," Discussion Papers 60/2004, Friedrich-Alexander University Erlangen-Nuremberg, Chair of Statistics and Econometrics.
    3. Lippe Peter von der, 2005. "Das Ideal des „reinen Preisvergleichs“ / The Principle of "Pure Price Comparison“," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 225(4), pages 499-509, August.
    4. Lippe Peter Michael von der, 2010. "Neuere Entwicklungen in der Preisstatistik und Indextheorie: Wie mit der traditionellen deutschen Theorie und Praxis gebrochen wurde," Review of Economics, De Gruyter, vol. 61(2), pages 171-195, August.
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    Cited by:

    1. Ralf Münnich, 2013. "Vorwort des Herausgebers," AStA Wirtschafts- und Sozialstatistisches Archiv, Springer;Deutsche Statistische Gesellschaft - German Statistical Society, vol. 7(1), pages 1-3, August.
    2. Ulrich Rendtel & Willi Seidel & Christine Müller & Florian Meinfelder & Joachim Wagner & Jürgen Chlumsky & Markus Zwick, 2022. "Statistik zwischen Data Science, Artificial Intelligence und Big Data: Beiträge aus dem Kolloquium „Make Statistics great again“ [Statistics between data science, artificial intelligence and big da," AStA Wirtschafts- und Sozialstatistisches Archiv, Springer;Deutsche Statistische Gesellschaft - German Statistical Society, vol. 16(2), pages 97-147, June.
    3. Timo Schmid & Markus Zwick, 2022. "Vorwort der Herausgeber [Foreword of the editors]," AStA Wirtschafts- und Sozialstatistisches Archiv, Springer;Deutsche Statistische Gesellschaft - German Statistical Society, vol. 16(2), pages 89-96, June.

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    More about this item

    Keywords

    Grundlagen der Statistik; Indextheorie; Zahlenlogik und Sachlogik; Flaskämper; Adäquationsproblem; Vergleichbarkeit; Verbale Interpretation von Statistiken; B16; C40; C43; C80; E01; E31; Conceptual problems of measurement and data collection; Evaluation of index number formulas; Comparability; Flaskämper; Interpretation of descriptive statistics;
    All these keywords.

    JEL classification:

    • B16 - Schools of Economic Thought and Methodology - - History of Economic Thought through 1925 - - - Quantitative and Mathematical
    • C40 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - General
    • C43 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Index Numbers and Aggregation
    • C80 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - General
    • E01 - Macroeconomics and Monetary Economics - - General - - - Measurement and Data on National Income and Product Accounts and Wealth; Environmental Accounts
    • E31 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Price Level; Inflation; Deflation

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