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  • 1
    Online Resource
    Online Resource
    Do fiscal variables affect fiscal expectations? Experiments with real world and lab data (2009)
    Mannheim : SSOAR
    In:  Journal of Economic Behavior & Organization 70 (2009) 1-2 ; 253-265, Online-Ressource
    Details
    Language: English
    Pages: Online-Ressource
    Titel der Quelle: Journal of Economic Behavior & Organization
    Angaben zur Quelle: 70 (2009) 1-2 ; 253-265, Online-Ressource
    DDC: 306.3
    Abstract: Abstract: We generate observable expectations about fiscal variables through laboratory experiments using real world data from several European countries as stimuli. We compare a VAR model of expectations for data that is presented in a fiscal frame with one for neutrally presented data. We test the validity of the setup and find that participants understand the meaning of the fiscal variables, but also that their ability to perceive the correct characteristics of fiscal policy is limited. Expectations are consistent neither with rational nor with purely adaptive expectations, but instead follow an augmented-adaptive scheme
    Note: Postprint , begutachtet (peer reviewed)
    DOI: 10.1016/j.jebo.2008.11.002
    URN: urn:nbn:de:0168-ssoar-292141
    URL: https://nbn-resolving.org/urn:nbn:de:0168-ssoar-292141
    URL: kostenfrei
    URL: https://doi.org/10.1016/j.jebo.2008.11.002
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  • 2
    Online Resource
    Online Resource
    Data-Driven Policy Impact Evaluation : How Access to Microdata is Transforming Policy Design (2019)
    Cham : Springer Nature
    Details
    Language: English
    Pages: 1 Online-Ressource (346 p.)
    Keywords: Social research & statistics ; Public administration ; Econometrics ; Public finance ; Probability & statistics
    Abstract: In the light of better and more detailed administrative databases, this open access book provides statistical tools for evaluating the effects of public policies advocated by governments and public institutions. Experts from academia, national statistics offices and various research centers present modern econometric methods for an efficient data-driven policy evaluation and monitoring, assess the causal effects of policy measures and report on best practices of successful data management and usage. Topics include data confidentiality, data linkage, and national practices in policy areas such as public health, education and employment. It offers scholars as well as practitioners from public administrations, consultancy firms and nongovernmental organizations insights into counterfactual impact evaluation methods and the potential of data-based policy and program evaluation. ; Open Access Demonstrates the potential of data-based policy evaluation Introduces counterfactual impact evaluation methods Includes case studies on policy areas such as public health, education and employment
    Note: English
    URL: OAPEN Library: download the publication
    URL: OAPEN Library: description of the publication
    URL: kostenfrei
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    MPI Ethno. Forsch.
  • 3
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    Online Resource
    Celebrated Econometricians: Katarina Juselius and Søren Johansen (2022)
    Basel : MDPI - Multidisciplinary Digital Publishing Institute
    Details
    ISBN: 9783036549705 , 9783036549699
    Language: Undetermined
    Pages: 1 Online-Ressource (486 p.)
    Keywords: Economics, finance, business & management
    Abstract: This Special Issue collects contributions related to advances in the theory and practice of Econometrics induced by the research of Katarina Juselius and Søren Johansen, whom this Special Issue aims to celebrate. The papers in this Special Issue provide advances on several topics, and they are grouped in the following areas, with three to four papers per group). The first group provides a historical perspective on Katarina's and Søren's contributions to Econometrics. The second group of papers concentrates on representation theory, while the third focuses on estimation and inference. The fourth group explores extensions of CVARs for modelling and forecasting, and the fifth and final group is centered on empirical applications
    Note: English
    URL: kostenfrei
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    MPI Ethno. Forsch.
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