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21.
Julia Plass Marco E.G.V. Cattaneo Thomas Augustin Georg Schollmeyer Christian Heumann 《Revue internationale de statistique》2019,87(3):580-603
In most surveys, one is confronted with missing or, more generally, coarse data. Traditional methods dealing with these data require strong, untestable and often doubtful assumptions, for example, coarsening at random. But due to the resulting, potentially severe bias, there is a growing interest in approaches that only include tenable knowledge about the coarsening process, leading to imprecise but reliable results. In this spirit, we study regression analysis with a coarse categorical‐dependent variable and precisely observed categorical covariates. Our (profile) likelihood‐based approach can incorporate weak knowledge about the coarsening process and thus offers a synthesis of traditional methods and cautious strategies refraining from any coarsening assumptions. This also allows a discussion of the uncertainty about the coarsening process, besides sampling uncertainty and model uncertainty. Our procedure is illustrated with data of the panel study ‘Labour market and social security' conducted by the Institute for Employment Research, whose questionnaire design produces coarse data. 相似文献
22.
A partir de estimaciones de la OIT del empleo en las cadenas mundiales de suministro, se estudia el impacto de las barreras al comercio de bienes y servicios sobre los empleos nacionales. El análisis empírico confirma las predicciones de un modelo teórico calibrado con datos de la WIOD para 2000 y 2011. Las barreras al comercio de bienes y servicios tienen un impacto transfronterizo sobre los empleos del sector directamente afectado y efectos indirectos sobre otros sectores que aumentan con el tiempo. La creciente interconexión entre países y sectores en las cadenas mundiales de suministro implica que las políticas comerciales pueden tener importantes efectos sobre los mercados de trabajo de otros países. 相似文献
23.
Nicolai J. Foss Peter G. Klein Christian Bjrnskov 《Journal of Management Studies》2019,56(6):1197-1213
The economics and management literatures pay increasing attention to the technological, competitive, and institutional environment for entrepreneurship. However, less is known about how context influences the judgment of entrepreneurs. Focusing on the emerging judgment‐based approach to entrepreneurship, we argue that economics can say much about how the organizational, market, and institutional context shapes entrepreneurial judgment. We describe entrepreneurs as individuals who deploy scarce, heterogeneous resources to service customer preferences at a profit. Because of uncertainty, this process is essentially experimental, and context influences the experimental process. Thus, entrepreneurs will seek to design the internal organization of the firm so that it facilitates internal experimentation. Moreover, the market or task environment determines the need for experimentation (e.g., how fast do consumer preferences change, how does technology evolve, which assets are available at which terms, etc.). Finally, the institutional environment influences, for example, the transaction costs of acquiring and divesting assets as firms adjust their boundaries through ongoing commercial experimentation. 相似文献
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Entrepreneurship has currently become an important element of economic development and innovation policy. In this context, the promotion of knowledge-based firms has become the norm, even in rural areas. Thus, the study presented in this paper analyses the variables that influence the choice of location made by rural and urban knowledge intensive service activity firms (KISA, hereafter). The results of the quantitative study allows for important policy making recommendations, but also offers significant contributions for entrepreneurship and regional development researchers, as well as practical insights for entrepreneurs. 相似文献
26.
Massimiliano Marcellino Christian Schumacher 《Oxford bulletin of economics and statistics》2010,72(4):518-550
In this article, we merge two strands from the recent econometric literature. First, factor models based on large sets of macroeconomic variables for forecasting, which have generally proven useful for forecasting. However, there is some disagreement in the literature as to the appropriate method. Second, forecast methods based on mixed‐frequency data sampling (MIDAS). This regression technique can take into account unbalanced datasets that emerge from publication lags of high‐ and low‐frequency indicators, a problem practitioner have to cope with in real time. In this article, we introduce Factor MIDAS, an approach for nowcasting and forecasting low‐frequency variables like gross domestic product (GDP) exploiting information in a large set of higher‐frequency indicators. We consider three alternative MIDAS approaches (basic, smoothed and unrestricted) that provide harmonized projection methods that allow for a comparison of the alternative factor estimation methods with respect to nowcasting and forecasting. Common to all the factor estimation methods employed here is that they can handle unbalanced datasets, as typically faced in real‐time forecast applications owing to publication lags. In particular, we focus on variants of static and dynamic principal components as well as Kalman filter estimates in state‐space factor models. As an empirical illustration of the technique, we use a large monthly dataset of the German economy to nowcast and forecast quarterly GDP growth. We find that the factor estimation methods do not differ substantially, whereas the most parsimonious MIDAS projection performs best overall. Finally, quarterly models are in general outperformed by the Factor MIDAS models, which confirms the usefulness of the mixed‐frequency techniques that can exploit timely information from business cycle indicators. 相似文献
27.
This paper considers a class of finite-order autoregressive linear ARCH models. The model captures the leverage effect, allows the volatility to be arbitrarily close to zero and to reach its minimum for non-zero innovations, and is appropriate for long memory modeling when infinite orders are allowed. However, the (quasi-)maximum likelihood estimator is, in general, inconsistent. A self-weighted least-squares estimator is proposed and is shown to be asymptotically normal. A score test for conditional homoscedasticity and diagnostic portmanteau tests are developed. Their performance is illustrated via simulation experiments. It is also investigated whether stock market returns exhibit some of the characteristic features of the linear ARCH model. 相似文献
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29.
In this note we reconsider the paper of Zhang and Zhang (1997), published in Managerial and Decision Economics, who analyze a strategic delegation model with R&D spillovers in an imperfectly competitive market. We were motivated to study their setup by a puzzling result given in their paper: delegating the production and R&D decisions to managers is never beneficial for the owners of the firm. When we tried to understand the driving forces of this result, we found however that the findings of Zhang and Zhang (1997) are incorrect. We explain why their derivations are wrong and demonstrate via counterexamples that the main propositions in their paper do not hold. In addition, we show how the correct solution of this R&D model with spillovers can be obtained. Copyright © 2006 John Wiley & Sons, Ltd. 相似文献
30.
We model the dynamic volatility and correlation structure of electricity futures of the European Energy Exchange index. We use a new multiplicative dynamic conditional correlation (mDCC) model to separate long‐run from short‐run components. We allow for smooth changes in the unconditional volatilities and correlations through a multiplicative component that we estimate nonparametrically. For the short‐run dynamics, we use a GJR‐GARCH model for the conditional variances and augmented DCC models for the conditional correlations. We also introduce exogenous variables to account for congestion and delivery date effects in short‐term conditional variances. We find different correlation dynamics for long‐ and short‐term contracts and the new model achieves higher forecasting performance compared to a standard DCC model. Copyright © 2012 John Wiley & Sons, Ltd. 相似文献