Since Russia's invasion of Ukraine, many countries have pledged to end or restrict their oil and gas imports to curtail Moscow's revenues and hinder its war effort. Thus, the European ministers agreed to trigger a cap on the gas price. To detect the importance of the price cap for gas, we...

The void fraction distribution is crucial for the two-phase flow characteristics, the available Void fraction Distribution Fast Prediction model (VDFP) can improve the prediction accuracy of the 1D nuclear system analysis codes. In the past, one VDFP called 1D Test-Solver was developed to...

An experiment simulating the reflood phenomena with deformed fuel rods array conducted at ATHER 5x5 rod bundle facility is calculated using MARS-KS code in order to validate the code and modeling scheme for the deformed condition following a LOCA. In the experiment, the deformed fuel rods are...

So far, if one wished to analyse economic markets in all their complexity - i.e. by incorporating all information regarding firm and consumer behavior available from the fields of economics, marketing, consumer research, competitive strategy, and business analysis - she had to use formulas with...

We analyze the effects of better algorithmic demand forecasting on collusive profits. We show that the comparative statics crucially depend on the whether actions are observable. Thus, the optimal antitrust policy needs to take into account the institutional settings of the industry in question....

I introduce a reduced form two-sided market model to study prediction and identification in two-sided markets. The model generates the hallmark features of two-sided markets: potentially below cost or even negative prices to one side of the market, and the “see-saw” or “waterbed” effect...

Classic artificial intelligence (Q-learning) algorithms have been capable of consistently learning supra-competitive pricing strategies in infinitely repeated Nash-Bertrand pricing games without human communication. Such algorithms have been able to converge due to the temporal correlation of...

I introduce a reduced form two-sided market model to study prediction and identification in two-sided markets. The model generates the hallmark features of two-sided markets: potentially below cost or even negative prices to one side of the market, and the "see-saw" or "waterbed" effect of a...

We study the incentives of drug producers to develop predictive biomarkers, taking into account strategic interaction between drug producers and health plans. For this purpose we develop a two-dimensional spatial framework that allows us to capture the informational role of biomarkers and their...