1,866 research outputs found

    The price-dependence of the variance of demand functions

    Get PDF
    demand function;microeconomics

    Dynamic optimal factor demand under financial constraints

    Get PDF
    factor demand;microeconomics

    Concurrent Design of Embedded Control Software

    Get PDF
    Embedded software design for mechatronic systems is becoming an increasingly time-consuming and error-prone task. In order to cope with the heterogeneity and complexity, a systematic model-driven design approach is needed, where several parts of the system can be designed concurrently. There is however a trade-off between concurrency efficiency and integration efficiency. In this paper, we present a case study on the development of the embedded control software for a real-world mechatronic system in order to evaluate how we can integrate concurrent and largely independent designed embedded system software parts in an efficient way. The case study was executed using our embedded control system design methodology which employs a concurrent systematic model-based design approach that ensures a concurrent design process, while it still allows a fast integration phase by using automatic code synthesis. The result was a predictable concurrently designed embedded software realization with a short integration time

    A dynamic model of factor demand equations

    Get PDF

    Keeping Secrets:Quantity, Quality and Consequences

    Get PDF

    A dynamic model of factor demand equations

    Get PDF
    models;factor demand;econometrics

    Absence of Speculation in the European Sovereign Debt Markets

    Get PDF
    European sovereign debt markets have been under scrutiny since the sovereign debt crisis of 2009. In this paper, we study to what extent the extreme dynamics were driven by fundamentals or speculation. We do so by decomposing bond and CDS spreads into fundamental and non-fundamental parts using a heterogeneous agent model. We find that bond markets are driven for 80% by liquidity trading, 13% by credit news, and only 5.4% by speculation. The CDS market is for 49% driven by credit news, 45% liquidity trading, and 5.5% speculation. The relative importance of the different types of agents varies over time, though
    corecore