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Bridging the gap between horizontal and vertical merger simulation : modifications and extensions of PCAID

Bush, C. Anthony - 2014

A general theoretical and empirical framework is developed for assessing the potential of a vertically integrated firm to foreclose downstream competitors. Using this framework a policymaker may also evaluate the empirical welfare effects from a vertically integrated firm raising rivals' costs....

Persistent link: https://www.econbiz.de/10010391562

Optimization in a simulation setting : use of function approximation in debt strategy analysis

Bolder, David Jamieson (contributor); … - 2007

The stochastic simulation model suggested by Bolder (2003) for the analysis of the federal government's debt … nonetheless complicated by two challenges. First, performing optimization with traditional techniques in a simulation setting is … address a number of policy questions that could not be fully addressed with the current stochastic simulation engine. -- Debt …

Persistent link: https://www.econbiz.de/10003463632

Consumption-Portfolio Choice with Preferences for Cash

Kraft, Holger; Weiss, Farina - 2017 - This version: September 4, 2017

This paper studies a consumption-portfolio problem where money enters the agent's utility function. We solve the corresponding Hamilton-Jacobi-Bellman equation and provide closed-form solutions for the optimal consumption and portfolio strategy both in an infinite- and finite-horizon setting....

Persistent link: https://www.econbiz.de/10011723392

Global economic growth and agricultural land conversion under uncertain productivity improvements in agriculture

Lanz, Bruno; Dietz, Simon; Swanson, Timothy M. - 2017 - This version: May 2017

We study how stochasticity in the evolution of agricultural productivity interacts with economic and population growth at the global level. We use a two-sector Schumpeterian model of growth, in which a manufacturing sector produces the traditional consumption good and an agricultural sector...

Persistent link: https://www.econbiz.de/10011749372

Future prediction of the prefectural economy in Japan : using a stochastic model

Sakamoto, Hiroshi - 2012 - Draft version

This study develops an easy forecasting model using prefectural data in Japan. The Markov chain known as a stochastic model corresponds to the vector auto-regressive (VAR) model of the first order. If the transition probability matrix can be appropriately estimated, the forecasting model using...

Persistent link: https://www.econbiz.de/10011521990

Gradient estimation for a class of systems with bulk services : a problem in public transportation

Vazquez-Abad, Felisa J.; Heidergott, Bernd - 2003

This paper deals with a system where batch arrivals wait in a station until a server (a train) is available, at which moment it services all customers in waiting. This is an example of a bulk server, which has many applications in public transportation, telecommunications, computer resource...

Persistent link: https://www.econbiz.de/10011333885

Leveraging the benefits of integrating and interacting electric vehicles and distributed energy resources

Paschmann, Martin - 2017

In this paper, benefits resulting from the interaction of electric vehicles and photovoltaic generation units are analyzed. In doing so, a bottom-up approach is developed to simulate the driving and charging behavior of electric vehicles. An economic analysis is then performed to determine key...

Persistent link: https://www.econbiz.de/10011750404

Estimation methods for non-homogeneous regression models : minimum continuous ranked probability score vs. maximum likelihood

Gebetsberger, Manuel; Messner, Jakob W.; Mayr, Georg. J.; … - 2017

calibration, and lead to only minor differences between the estimators employed. Finally, a simulation study confirms the …

Persistent link: https://www.econbiz.de/10011762435

Skewed logistic distribution for statistical temperature post-processing in mountainous areas

Gebetsberger, Manuel; Stauffer, Reto; Mayr, Georg. J.; … - 2018

Non-homogeneous post-processing is often used to improve the predictive performance of probabilistic ensemble forecasts. A common quantity to develop, test, and demonstrate new methods is the near-surface air temperature frequently assumed to follow a Gaussian response distribution. However,...

Persistent link: https://www.econbiz.de/10011847486

Regression methods for stochastic control problems and their convergence analysis

Belomestny, Denis; Kolodko, Anastasia; Schoenmakers, John - 2009

In this paper we develop several regression algorithms for solving general stochastic optimal control problems via Monte Carlo. This type of algorithms is particularly useful for problems with a highdimensional state space and complex dependence structure of the underlying Markov process with...

Persistent link: https://www.econbiz.de/10003835132

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