242 research outputs found

    Semiparametric Bayesian inference in smooth coefficient models

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    We describe procedures for Bayesian estimation and testing in cross-sectional, panel data and nonlinear smooth coefficient models. The smooth coefficient model is a generalization of the partially linear or additive model wherein coefficients on linear explanatory variables are treated as unknown functions of an observable covariate. In the approach we describe, points on the regression lines are regarded as unknown parameters and priors are placed on differences between adjacent points to introduce the potential for smoothing the curves. The algorithms we describe are quite simple to implement - for example, estimation, testing and smoothing parameter selection can be carried out analytically in the cross-sectional smooth coefficient model. We apply our methods using data from the National Longitudinal Survey of Youth (NLSY). Using the NLSY data we first explore the relationship between ability and log wages and flexibly model how returns to schooling vary with measured cognitive ability. We also examine a model of female labor supply and use this example to illustrate how the described techniques can been applied in nonlinear settings

    Government‒business relations in multilevel systems: the effect of conflict perception on venue choice

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    In multilevel systems, organised interests, including business firms, can pursue their political goals at different levels. At the same time, national systems of interest representation provide important incentive structures for corporate political behaviour. In this context, corporate political strategy is guided by firms’ perceptions of their relationship with policy-makers. If this relationship is under strain in one venue, firms shift their lobbying effort to alternative venues, subject to constraints reflecting national institutional legacies. Using survey data on 56 large German and British firms, the article investigates empirically how perceptions of government‒business relations and national systems of interest representation interact to shape the political behaviour of large firms in multilevel systems. The analysis shows that perceived conflict with public authorities at the national level leads to increased business lobbying at the EU level. Furthermore, national types of interest representation shape relative business engagement at the EU level as well as the readiness of firms to shift venue

    Institutions, policies, and arguments:context and strategy in EU policy framing

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    Studies of framing in the EU political system are still a rarity and they suffer from a lack of systematic empirical analysis. Addressing this gap, we ask if institutional and policy contexts intertwined with the strategic side of framing can explain the number and types of frames employed by different stakeholders. We use a computer-assisted manual content analysis and develop a fourfold typology of frames to study the frames that were prevalent in the debates on four EU policy proposals within financial market regulation and environmental policy at the EU level and in Germany, Sweden, the Netherlands and the United Kingdom. The main empirical finding is that both contexts and strategies exert a significant impact on the number and types of frames in EU policy debates. In conceptual terms, the article contributes to developing more fine-grained tools for studying frames and their underlying dimensions

    Probabilistic analysis of gene expression measurements from heterogeneous tissues

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    Motivation: Tissue heterogeneity, arising from multiple cell types, is a major confounding factor in experiments that focus on studying cell types, e.g. their expression profiles, in isolation. Although sample heterogeneity can be addressed by manual microdissection, prior to conducting experiments, computational treatment on heterogeneous measurements have become a reliable alternative to perform this microdissection in silico. Favoring computation over manual purification has its advantages, such as time consumption, measuring responses of multiple cell types simultaneously, keeping samples intact of external perturbations and unaltered yield of molecular content

    Implied cost of capital investment strategies - evidence from international stock markets

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    Investors can generate excess returns by implementing trading strategies based on publicly available equity analyst forecasts. This paper captures the information provided by analysts by the implied cost of capital (ICC), the internal rate of return that equates a firm's share price to the present value of analysts' earnings forecasts. We find that U.S. stocks with a high ICC outperform low ICC stocks on average by 6.0% per year. This spread is significant when controlling the investment returns for their risk exposure as proxied by standard pricing models. Further analysis across the world's largest equity markets validates these results
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