Mostrando recursos 1 - 5 de 5

  1. Quality Assessment of Imputations in Administrative Data

    Schnetzer, Matthias; Astleithner, Franz; Cetkovic, Predrag; Humer, Stefan; Lenk, Manuela; Moser, Mathias
    This article contributes a framework for the quality assessment of imputations within a broader structure to evaluate the quality of register-based data. Four quality-related hyperdimensions examine the data processing from the raw-data level to the final statistics. Our focus lies on the quality assessment of different imputation steps and their influence on overall data quality. We suggest classification rates as a measure of accuracy of imputation and derive several computational approaches. (authors' abstract)
    (application/pdf) - 18-oct-2016

  2. Work-sharing for a sustainable economy

    Zwickl, Klara; Disslbacher, Franziska; Stagl, Sigrid
    Achieving low unemployment in an environment of weak growth is a major policy challenge; a more egalitarian distribution of hours worked could be the key to solving it. Whether worksharing actually increases employment, however, has been debated controversially. In this article we present stylized facts on the distribution of hours worked and discuss the role of work-sharing for a sustainable economy. Building on recent developments in labor market theory we review the determinants of working long hours and its effect on well-being. Finally, we survey work-sharing reforms in the past. While there seems to be a consensus that worksharing in the Great Depression in the U.S. and...
    (application/pdf) - 18-oct-2016

  3. Open innovation in SMEs and the role of the external network: A systematic literature review

    Hyslop, Katie
    Ever since Henry Chesbrough coined the term in 2003, the number of studies exploring the new paradigm of open innovation (OI) has grown exponentially, with researchers investigating and exploring the application of open principles in an array of industrial and geographical contexts. Despite this growing interest from the scientific community as well as practitioners, our understanding of the implementation of open principles from an SME perspective remains, to a large extent, underdeveloped. In particular, uncovering how the SME can best exploit and manage their external network to facilitate both exploration and exploitation activities has, thus far, been largely neglected. Therefore, an exploration of the implementation and successful...
    (application/pdf) - 24-may-2018

  4. The Strength of Strong Ties in an Emerging Industry: Experimental Evidence of the Effects of Status Hierarchies and Personal Ties in Venture Capitalist Decision Making

    Wuebker, Robert; Hampl, Nina; Wüstenhagen, Rolf
    Drawing from social network theory, scholars have identified two ways in which social ties influence venture capital investment decisions: directly through personal ties and indirectly through status hierarchies. Previous research has examined these effects independently. Our study is the first to perform a joint examination of the role of social ties and status hierarchies in venture capital decision making. We examine the relative importance of these two mechanisms through an adaptive choice-based conjoint experiment comprising of 3,132 investment decisions made by 86 venture capitalists from the United States and Europe. Our experimental context allows us to explore whether, under high levels...
    (application/pdf) - 13-dic-2016

  5. Model uncertainty in matrix exponential spatial growth regression models

    Piribauer, Philipp; Fischer, Manfred M.
    This paper considers the most important aspects of model uncertainty for spatial regression models, namely the appropriate spatial weight matrix to be employed and the appropriate explanatory vari- ables. We focus on the spatial Durbin model (SDM) specification in this study that nests most models used in the regional growth literature, and develop a simple Bayesian model averaging approach that provides a unified and formal treatment of these aspects of model uncertainty for SDM growth models. The approach expands on the work by LeSage and Fischer (2008) by reducing the computational costs through the use of Bayesian information criterion model weights and a matrix exponential specification...
    (application/pdf) - 18-oct-2016

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