Time preference and international trade

We first consider a closed model, where households' time discount depends on externality in consumption. We can prove that there is a unique steady state, which is a saddle point. Then we extend the model to a two‐country world, and derive the condition on the effects of consumption externality under which there is a unique free trade steady state with saddle‐point stability.     

Online adaptive lasso estimation in vector autoregressive models for high dimensional wind power forecasting

Wind power forecasts with lead times of up to a few hours are essential to the optimal and economical operation of power systems and markets. Vector autoregression (VAR) is a framework that has been shown to be well suited to predicting for several wind farms simultaneously by considering the spatio-temporal dependencies in their time series. Lasso penalisation yields sparse models and can avoid overfitting the large numbers of coefficients in higher dimensional settings. However, estimation in VAR models usually does not account for changes in the spatio-temporal wind power dynamics that are related to factors such as seasons or wind farm setup changes, for example. This paper tackles this problem by proposing a time-adaptive lasso estimator and an efficient coordinate descent algorithm for updating the VAR model parameters recursively online. The approach shows good abilities to track changes in the multivariate time series dynamics on simulated data. Furthermore, in two case studies it shows clearly better predictive performances than the non-adaptive lasso VAR and univariate autoregression.     

Big data driven cycle time parallel prediction for production planning in wafer manufacturing

Cycle time forecasting (CTF) is one of the most crucial issues for production planning to keep high delivery reliability in semiconductor wafer fabrication systems (SWFS). This paper proposes a novel data-intensive cycle time (CT) prediction system with parallel computing to rapidly forecast the CT of wafer lots with large datasets. First, a density peak based radial basis function network (DP-RBFN) is designed to forecast the CT with the diverse and agglomerative CT data. Second, the network learning method based on a clustering technique is proposed to determine the density peak. Third, a parallel computing approach for network training is proposed in order to speed up the training process with large scaled CT data. Finally, an experiment with respect to SWFS is presented, which demonstrates that the proposed CTF system can not only speed up the training process of the model but also outperform the radial basis function network, the back-propagation-network and multivariate regression methodology based CTF methods in terms of the mean absolute deviation and standard deviation.     

Non-linear Gaussian sovereign CDS pricing models

Prior literature indicates that quadratic models and the Black–Karasinski model are very promising for CDS pricing. This paper extends these models and the Black [J. Finance 1995, 50, 1371–1376] model for pricing sovereign CDS’s. For all 10 sovereigns in the sample quadratic models best fit CDS spreads in-sample, and a four factor quadratic model can account for the joint effects on CDS spreads of default risk, default loss risk and liquidity risk with no restriction to factors correlation. Liquidity risk appears to affect sovereign CDS spreads. However, quadratic models tend to over-fit some CDS maturities at the expense of other maturities, while the BK model is particularly immune from this tendency. The Black model seems preferable because its out-of-sample performance in the time series dimension is the best.     

Time and frequency domain causality Testing: The causal linkage between FDI and economic risk for the case of Turkey

This study aims to explore the causal relationship between economic risk and foreign direct investment (FDI) inflows for the case of Turkey. With the aim of establishing robust findings for the research in mind, both traditional and modern causality techniques are utilized; time domain Granger (1969, “Investigating Causal Relations by Econometric Models and Cross-Spectral Methods.” Econometrica 37: 424–438.), Toda and Yamamoto (1995, “Statistical Inference in Vector Autoregressions with Possibly Integrated Processes.” Journal of Econometrics 66 (1–2): 225–250.), Fourier Toda-Yamamoto and frequency domain Breitung and Candelon (2006, “Testing for short- and long-run causality: A frequency-domain approach.” Journal of Econometrics 132 (2): 363–378.) spectral causality test. Our empirical findings reveal that; economic risk changes in Turkey significantly lead to changes in FDI inflows. However, there is no evidence of causality running from FDI to economic risk. The findings imply that economic risk is an essential determinant of FDI inflows in Turkey. Our findings are compatible with historical macroeconomic developments in Turkey and imply important policy implications. The results of this study can be generalized for other emerging economies that have similar macroeconomic environments, in order to create useful policy implications regarding FDI inflow.     

Effects on the “self-organization- satisfaction” relationship of changes in the economic context

Noting increasingly independent traveling by tourists, as well as changes on the tourist activity worldwide due to the 2008 economic crisis, this study analyzes the relationships between an economic crisis, tourist’s self-organization in trip planning, and tourist’s trip satisfaction. Data from a panel (2006–2011) on how residents in Spain complete their accommodation and transport bookings are used, including data on their trip satisfaction. The study identifies a negative relationship between the 2008 economic crisis and trip satisfaction, a positive relationship between self-organization and satisfaction, as well as positive moderating effects of the crisis on the relationship between self-organization and satisfaction.     

WHAT DETERMINES VACATION LEAVE? THE ROLE OF GENDER

Vacation leave is introduced in workplaces to improve the working environment. Surprisingly, it has been observed that a large number of workers do not use all of their entitled vacation days. This paper provides a novel set of facts about the gender differences in taking vacation time using the Canadian Workplace Employee Survey, which is a linked longitudinal employer‐employee dataset. The results show considerable differences between men and women in the estimated effects of some demographic characteristics after controlling for job and workplace characteristics. However, they reveal significant implications of work arrangements (e.g., part‐time work, flexible work schedules, and home‐based work), job promotion, supervisory tasks, and union membership for vacation use, for both men and women. This paper provides further insights on the use of fringe benefits that may be useful to policymakers and businesses.     

《摆脱贫困》中蕴含的精准扶贫理念——习近平精准扶贫理念在福建孕育及实践

习近平扶贫理念随着时代发展而完善,从“摆脱贫困”到“精准扶贫”再到“精准脱贫”,其理念一脉相承,其思想内涵与时俱进,不断拓展深化,形成了从理念到理论再到实践的“知行合一”理论实践体系。习近平在福建任职期间进行了“摆脱贫困”理论及实践探索,提出了许多富有创造性的扶贫脱贫观点,如“扶贫先扶志、念好山海经、科技兴农、建设农村党组织、四下基层、滴水穿石”等,明确了“扶持谁一谁来扶一怎么扶”的扶贫脱贫思路,在精神扶贫、扶贫策略、扶贫路径、扶贫组织保障、多元扶贫力量、脱贫内生动力、脱贫长效机制等方面蕴含着精准扶贫精准脱贫理念。     

The labour income share and the relative price of investment in the US: an empirical investigation

Several studies argue that the recent decline in the secular trend of the labour income share is mostly driven by capital-embodied technological progress which is typically identified with trend reductions in the relative price of investment. In this paper, I use data from the United States to assess the nature of the relationship between trends in the labour share and the relative price of investment. Results from co-integration tests reveal that the share and the relative price of investment are most likely not co-integrated. However, co-variation tests indicate that both time series share a common stochastic component, and additional tests of structural breaks point at the presence of a common change in the mean or trend of both series. These results suggest that capital-embodied or investment-specific technological progress may have played an important role in the decline of the secular trend of the labour share.