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Displaying results 1 to 4 of 4.

  1. A replication of "The long-run impact of foreign aid in 36 African countries
    insights from multivariate time series analysis" (Oxford Bulletin of Statistics and Economics, 2014)
    Author: Roger, Lionel
    Published: [2019]
    Publisher:  Kiel Institute for the World Economy, Kiel

    Macroeconomic data have been shown to vary substantially between sources, especially so for low-income countries. While the impact of data revisions on inference is well documented for cross-country studies, there is no systematic analysis of the... more

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    ZBW - Leibniz-Informationszentrum Wirtschaft, Standort Kiel
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    DS 112
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    Macroeconomic data have been shown to vary substantially between sources, especially so for low-income countries. While the impact of data revisions on inference is well documented for cross-country studies, there is no systematic analysis of the robustness of results obtained from time series analysis. This is despite the fact that time series analysis is an integral part of the econometric toolkit of government analysts, and informs policy decisions in many areas of macroeconomics. This study fills this gap for the notoriously controversial aid-effectiveness debate using the statistical framework by Juselius et al. (2014, Oxf Bull Econ Stat): by adopting alternative sources of GDP data in 36 sub-Saharan African countries The author finds that results remain robust across datasets in two thirds of the countries, but sometimes drastically change in others. These findings suggest that robustness checks such as those carried out here should become standard procedure for macroeconomic analysis using single-country time series.

     
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    Source: Union catalogues
    Language: English
    Media type: Book
    Format: Online
    Other identifier:
    hdl: 10419/194879
    Series: Array ; no. 2019, 27 (April 03, 2019)
    Subjects: Time-series models; economic growth; economic data; foreign aid
    Scope: 1 Online-Ressource (circa 51 Seiten), Illustrationen
  2. Illicit financial flows and country-by-country reporting in extractive industries
    Author: Stausholm, Saila; Janský, Petr; Šedivý, Marek
    Published: July 2022
    Publisher:  United Nations University World Institute for Development Economics Research, Helsinki, Finland

    Economic data are important in governing the international political economy. Some of the most widely used macro statistics risk being undermined by systematic misalignment in reporting of economic activity due to illicit financial flows, as well as... more

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    ZBW - Leibniz-Informationszentrum Wirtschaft, Standort Kiel
    Signature:
    DS 248
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    Economic data are important in governing the international political economy. Some of the most widely used macro statistics risk being undermined by systematic misalignment in reporting of economic activity due to illicit financial flows, as well as tax-minimizing financial transactions by multinational corporations. Measuring these misalignments may prove a way to correct old statistical standards, if adequate data can be obtained. We evaluate whether new transparency and reporting regimes that require country-by-country reporting by multinational corporations could prove a feasible way to appropriate the amount of tax avoidance and use these figures to correct macro statistics. We evaluate the existing data for two of the standards through previous literature and provide original analysis of a third standard that is applied to the extractive industries. We find that the standards lack coherence and workability, and that particularly the extractive industry standard falls short of enabling thorough research on profit reporting and taxmotivated misalignments by multinational corporations.

     
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    Source: Union catalogues
    Language: English
    Media type: Ebook
    Format: Online
    ISBN: 9789292672072
    Other identifier:
    hdl: 10419/267828
    Series: WIDER working paper ; 2022, 76
    Subjects: economic data; tax avoidance; illicit financial flows; country-by-country reporting; extractive industries
    Scope: 1 Online-Ressource (circa 25 Seiten), Illustrationen
  3. Reproducing the stylized facts that motivate models of international trade with heterogeneous firms using the World Bank Enterprise Surveys
    Author: Riaño, Alejandro
    Published: December 2023
    Publisher:  CESifo, Munich, Germany

    This article shows how to use the publicy-available firm-level surveys produced by the World Bank Enterprise Surveys (WBES) to reproduce the stylized facts that characterize firm heterogeneity and its relationship with global engagement, as... more

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    DS 63
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    This article shows how to use the publicy-available firm-level surveys produced by the World Bank Enterprise Surveys (WBES) to reproduce the stylized facts that characterize firm heterogeneity and its relationship with global engagement, as established by Bernard et al. (2007) for manufacturing firms in the U.S. The article describes how to incorporate this exercise in different teaching activities such as small group classes and homework and courseworks assignments. The activities proposed allow students to develop skills handling and analyzing firm-level data and, since WBES surveys are available for more than 150 countries since 2002, they offer an unique opportunity to evaluate the extent to which the stylized facts established from U.S. data are also representative of countries of different size and stage of development. The activities proposed connect the theory of trade with heterogeneous firms to the real-world empirical evidence that motivated the development of these models.

     
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    Source: Union catalogues
    Language: English
    Media type: Book
    Format: Online
    Other identifier:
    hdl: 10419/282504
    Series: CESifo working papers ; 10816 (2023)
    Subjects: teaching international trade; heterogeneous firms; exports; imports; economic data; stylized facts
    Scope: 1 Online-Ressource (circa 35 Seiten), Illustrationen
  4. Lessons learned from joining forces across disparate disciplines in the NFDI: the conference on research on text analytics. Presented at the 1st Conference on Research Data Infrastructure (CoRDI), Karlsruhe, 12. – 14. September 2023
    Author: Krieger, Ulrich; Trippel, Thorsten
    Published: 2023
    Publisher:  Zenodo, Genf ; Leibniz-Institut für Deutsche Sprache (IDS), Mannheim