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Gender Differences in Giving and the Anticipation Regarding Giving in Dictator Games

Research on altruistic behaviour and associated anticipatory beliefs, as well as related gender differences, is limited. Using data from Chowdhury and Jeon, who vary a common show-up fee and incentivize recipients to...

Gender Differences in Giving and the Anticipation Regarding Giving in Dictator Games

Research on altruistic behaviour and associated anticipatory beliefs, as well as related gender differences, is limited. Using data from Chowdhury and Jeon, who vary a common show-up fee and incentivize recipients to...

Perovskite quantum dot-induced monochromatization for broadband photodetection of wafer-scale molybdenum disulfide
Two-dimensional transition metal dichalcogenide (2D TMD) crystals are versatile platforms for realizing emergent optoelectronic devices. However, the ability to produce large-area 2D TMDs with spatial homogeneity and to...
Published by: Springer Japan
Perovskite quantum dot-induced monochromatization for broadband photodetection of wafer-scale molybdenum disulfide
Two-dimensional transition metal dichalcogenide (2D TMD) crystals are versatile platforms for realizing emergent optoelectronic devices. However, the ability to produce large-area 2D TMDs with spatial homogeneity and to...
Property Rights and Loss Aversion in Contests

We analyze the effects of property rights and the resulting loss aversion on contest outcomes. We study three situations: in “gain” two players start with no prize and make sunk bids to win a prize; in “loss” both the players...

Identity and Group Conflict
We experimentally investigate the effects of real and minimal identities on group conflict. In turn we provide a direct empirical test of the hypotheses coined by Amartya Sen that the salience of a real identity escalates...
Forecasting Wind Power Quantiles Using Conditional Kernel Estimation
The efficient management of wind farms and electricity systems benefit greatly from accurate wind power quantile forecasts. For example, when a wind power producer offers power to the market for a future period, the optimal bid...
Probabilistic Forecasting of Wave Height for Offshore Wind Turbine Maintenance
James Taylor, Jooyoung Jeon
Jun 16, 2018
Wind power continues to be the fastest growing source of renewable energy. This paper is concerned with the timing of offshore turbine maintenance for a turbine that is no longer functioning. Service vehicle access is limited by...
Using conditional kernel density estimation for wind power density forecasting
Of the various renewable energy resources, wind power is widely recognized as one of the most promising. The management of wind farms and electricity systems can benefit greatly from the availability of estimates of the...
Probabilistic Forecasting of Wave Height for Offshore Wind Turbine Maintenance
James Taylor, Jooyoung Jeon
Jun 16, 2018
Wind power continues to be the fastest growing source of renewable energy. This paper is concerned with the timing of offshore turbine maintenance for a turbine that is no longer functioning. Service vehicle access is limited by...
Probabilistic forecast reconciliation with applications to wind power and electric load
New methods are proposed for adjusting probabilistic forecasts to ensure coherence with the aggregation constraints inherent in temporal hierarchies. The different approaches nested within this framework include methods that...
Using conditional kernel density estimation for wind power density forecasting
Of the various renewable energy resources, wind power is widely recognized as one of the most promising. The management of wind farms and electricity systems can benefit greatly from the availability of estimates of the...
Short-term density forecasting of wave energy using ARMA-GARCH models and Kernel density estimation
Wave energy has great potential as a renewable source of electricity. Installed capacity is increasing, and developments in technology mean that wave energy is likely to play an important role in the future mix of electricity...
Short-term density forecasting of wave energy using ARMA-GARCH models and Kernel density estimation
Wave energy has great potential as a renewable source of electricity. Installed capacity is increasing, and developments in technology mean that wave energy is likely to play an important role in the future mix of electricity...
Forecasting Wind Power Quantiles Using Conditional Kernel Estimation
The efficient management of wind farms and electricity systems benefit greatly from accurate wind power quantile forecasts. For example, when a wind power producer offers power to the market for a future period, the optimal bid...

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