Mostrando recursos 1 - 5 de 5

  1. Trust Dynamics in Acquisitions: A Case Survey

    Stahl, Günter; Larsson, Rikard; Kremershof, Ina; Sitkin, Sim B.
    Drawing on the organizational trust literature and research on postmerger integration, the authors develop a model that conceptually synthesizes the antecedents and consequences of trust in acquired organizations. The model proposes that the acquiring and target firms' relationship history, the interfirm distance, and the acquirer's integration approach will affect target firm member trust in the acquiring firm's management. Target firm member trust, in turn, may influence several sociocultural integration outcomes as well as postacquisition performance. The results of a case survey suggest that certain aspects of the relationship history and interfirm distance, such as the firms' collaboration history and preacquisition performance differences, are poor predictors of trust,...
    (application/pdf) - 18-oct-2016

  2. Fishing Economic Growth Determinants Using Bayesian Elastic Nets

    Hofmarcher, Paul; Crespo Cuaresma, Jesus; Grün, Bettina; Hornik, Kurt
    We propose a method to deal simultaneously with model uncertainty and correlated regressors in linear regression models by combining elastic net specifications with a spike and slab prior. The estimation method nests ridge regression and the LASSO estimator and thus allows for a more flexible modelling framework than existing model averaging procedures. In particular, the proposed technique has clear advantages when dealing with datasets of (potentially highly) correlated regressors, a pervasive characteristic of the model averaging datasets used hitherto in the econometric literature. We apply our method to the dataset of economic growth determinants by Sala-i-Martin et al. (Sala-i-Martin, X.,...
    (application/pdf) - 18-oct-2016

  3. Fishing Economic Growth Determinants Using Bayesian Elastic Nets

    Hofmarcher, Paul; Crespo Cuaresma, Jesus; Grün, Bettina; Hornik, Kurt
    We propose a method to deal simultaneously with model uncertainty and correlated regressors in linear regression models by combining elastic net specifications with a spike and slab prior. The estimation method nests ridge regression and the LASSO estimator and thus allows for a more flexible modelling framework than existing model averaging procedures. In particular, the proposed technique has clear advantages when dealing with datasets of (potentially highly) correlated regressors, a pervasive characteristic of the model averaging datasets used hitherto in the econometric literature. We apply our method to the dataset of economic growth determinants by Sala-i-Martin et al. (Sala-i-Martin, X.,...
    (application/pdf) - 25-feb-2017

  4. Modeling Mortality Rates In The WikiLeaks Afghanistan War Logs

    Rusch, Thomas; Hofmarcher, Paul; Hatzinger, Reinhold; Hornik, Kurt
    The WikiLeaks Afghanistan war logs contain more than 76 000 reports about fatalities and their circumstances in the US led Afghanistan war, covering the period from January 2004 to December 2009. In this paper we use those reports to build statistical models to help us understand the mortality rates associated with specific circumstances. We choose an approach that combines Latent Dirichlet Allocation (LDA) with negative binomial based recursive partitioning. LDA is used to process the natural language information contained in each report summary. We estimate latent topics and assign each report to one of them. These topics - in addition...
    (application/pdf) - 18-oct-2016

  5. Modeling Mortality Rates In The WikiLeaks Afghanistan War Logs

    Rusch, Thomas; Hofmarcher, Paul; Hatzinger, Reinhold; Hornik, Kurt
    The WikiLeaks Afghanistan war logs contain more than 76 000 reports about fatalities and their circumstances in the US led Afghanistan war, covering the period from January 2004 to December 2009. In this paper we use those reports to build statistical models to help us understand the mortality rates associated with specific circumstances. We choose an approach that combines Latent Dirichlet Allocation (LDA) with negative binomial based recursive partitioning. LDA is used to process the natural language information contained in each report summary. We estimate latent topics and assign each report to one of them. These topics - in addition...
    (application/pdf) - 25-feb-2017

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