Blar i Department of Business and Management Science på forfatter "Sandal, Leif Kristoffer"
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A bridge between continuous and discrete-time bioeconomic models: Seasonality in fisheries
Kvamsdal, Sturla F; Maroto, Jose M.; Moran, Manuel; Sandal, Leif Kristoffer (Journal article; Peer reviewed, 2017)We develop a discretization method to construct a discrete finite-time bioeconomic model, corresponding to bioeconomic models with continuous-time growth function, but allowing the analysis of seasonality in fisheries. The ... -
A maximum entropy approach to the newsvendor problem with partial information
Andersson, Jonas; Jörnsten, Kurt; Nonås, Sigrid Lise; Sandal, Leif Kristoffer; Ubøe, Jan (Journal article; Peer reviewed, 2013)In this paper, we consider the newsvendor model under partial information, i.e., where the demand distribution D is partly unknown. We focus on the classical case where the retailer only knows the expectation and variance ... -
A maximum entropy approach to the newsvendor problem with partial information
Andersson, Jonas; Jörnsten, Kurt; Nonås, Sigrid Lise; Sandal, Leif Kristoffer; Ubøe, Jan (Discussion paper;2011:14, Working paper, 2011-08)In this paper, we consider the newsvendor model under partial information, i.e., where the demand distribution D is partly unknown. We focus on the classical case where the retailer only knows the expectation and variance ... -
Adaptive regulation with flow and stock externalities
Sandal, Leif Kristoffer; Steinshamn, Stein Ivar (Discussion paper, Working paper, 1998-01)In confronting a consumer good whose production process is associated with both flow and stock externalities, a corrective tax is introduced to restore efficiency. The objective is to maximize social welfare over time when ... -
An analysis of maintenance schedules for public facilities
Hopland, Arnt Ove; Kvamsdal, Sturla F; Sandal, Leif Kristoffer (Journal article; Peer reviewed, 2019)We present a flexible, formal framework for maintenance scheduling for public facilities. Key features of the model include an accelerating deterioration scheme, a general utility measure, and real estate market effects ... -
Analyzing risk of stock collapse in a fishery under stochastic profit maximization
Poudel, Diwakar; Sandal, Leif Kristoffer; Kvamsdal, Sturla Furunes (Discussion paper;2012:4, Working paper, 2012-04)In commercial fisheries, stock collapse is an intrinsic problem caused by overexploitation or due to pure stochasticity. To analyze the risk of stock collapse, we apply a relatively simple Monte Carlo approach which can ... -
An approach to adaptive carbon taxes in the presence of global warming
Sandal, Leif Kristoffer; Steinshamn, Stein Ivar (Discussion paper, Working paper, 1998-01)The optimal extraction path of fossil fuels and the corresponding corrective tax on extraction are derived when two types of externalities associated with emission of carbondioxide (CO2) are taken into account. The optimal ... -
Approximating closed form solutions to a class of feedback policies
Sandal, Leif Kristoffer (Discussion paper, Working paper, 2009-09)Dynamic optimization problems cover a large class of problems in theoretical and applied economics. A simple iterative algorithm with fast convergence is proposed. It is demonstrated that the algorithm in a few steps ... -
Assimilation of real time series data into a dynamic bioeconomic fisheries model : an application to the Norwegian cod fishery stock
Ussif, Al-Amin M.; Sandal, Leif Kristoffer; Steinshamn, Stein Ivar (Discussion paper, Working paper, 2000-05)This paper combines the new and elegant technique of inverse methods and a Monte Carlo procedure to analyze real data for the Norwegian cod fishery (NCF) stock. A simple nonlinear dynamic resource model is calibrated to ... -
Continuous harvesting costs in sole-owner fisheries with increasing marginal returns
Maroto, Jose M.; Moran, Manuel; Sandal, Leif Kristoffer; Steinshamn, Stein Ivar (Discussion paper, Working paper, 2009-09)We develop a bioeconomic model to analyze a sole-owner fishery with fixed costs as well as a continuous cost function for the generalized Cobb-Douglas production function with increasing marginal returns to effort level. ... -
Data assimilation into biomass dynamics models : a Monte Carlo simulation experiment
Ussif, Al-Amin M.; Sandal, Leif Kristoffer; Steinshamn, Stein Ivar; Morey, Steven L. (Discussion paper, Working paper, 2001)In this paper, we use a variational data assimilation method to fit biomass dynamics models to simulated data. The method is the variational adjoint technique in which a cost function measuring the distance between the ... -
Do species interactions and stochasticity matter to optimal management of multispecies fisheries?
Poudel, Diwakar; Sandal, Leif Kristoffer; Steinshamn, Stein Ivar; Kvamsdal, Sturla Furunes (Discussion paper;2012:1, Working paper, 2012-01)The multispecies fisheries management looks at a bigger picture in addressing the long-term consequences of present decisions. This implies an ecosystem management that includes a number of species and their physical, ... -
Does stochasticity matter? : dynamic pigouvian taxation in an uncertain environment
Sandal, Leif Kristoffer; Steinshamn, Stein Ivar (Discussion paper, Working paper, 2004-04)The effects of discounting, stochasticity, non-linearities and maximum decay upon an optimal corrective tax are analyzed using stochastic dynamic optimization. Optimal corrective taxes are derived as explicit feedback ... -
Dynamiske CO2-avgifter : en modell med endogent bestemt avgiftsperiode
Aanestad, Sigurd; Sandal, Leif Kristoffer; Berge, Gerhard (Discussion paper, Working paper, 2003-12) -
Estimating the parameters of stochastic differential equations using a criterion function based on the Kolmogorov-Smirnov statistic
McDonald, A. David; Sandal, Leif Kristoffer (Discussion paper, Working paper, 1998)Estimation of parameters in the drift and diffusion terms of stochastic differential equations involves simulation and generally requires substantial data sets. We examine a method that can be applied when available time ... -
Estimation of biological and economic parameters of a bioeconomic fisheries model using dynamical data assimilation
Ussif, Al-Amin M.; Sandal, Leif Kristoffer; Steinshamn, Stein Ivar (Discussion paper, Working paper, 2000-05)A new approach of model parameter estimation is used with simulated measurements to recover both biological and economic input parameters of a natural resource model. The procedure efficiently combines time series of ... -
Fish wars on the high seas : a straddling stock competition model
McKelvey, Robert W.; Sandal, Leif Kristoffer; Steinshamn, Stein Ivar (Discussion paper, Working paper, 2001-04)The post World War II era saw the development of powerful self-contained fishing fleets, so-called distant-water fleets (DWFs), which roamed the worlds oceans, seeking out rich harvesting targets wherever they might be ... -
Fisheries management under irreversible investment : does stochasticity matter?
Poudel, Diwakar; Sandal, Leif Kristoffer; Kvamsdal, Sturla Furunes; Steinshamn, Stein Ivar (Discussion paper;2011:20, Working paper, 2011-11)We present a continuous, nonlinear, stochastic and dynamic model for capital investment in the exploitation of a renewable resource. Both the resource stock and capital stock are treated as state variables. The resource ... -
Harvest control rules in modern fisheries management
Kvamsdal, Sturla F; Eide, Arne; Ekerhovd, Nils-Arne; Enberg, Katja; Gudmundsdottir, Asta; Hoel, Alf Håkon; Mills, Katherine E.; Mueter, Franz J.; Ravn-Jonsen, Lars; Sandal, Leif Kristoffer; Stiansen, Jan Erik; Vestergaard, Niels (Journal article; Peer reviewed, 2016)Harvest control rules have become an important tool in modern fisheries management, and are increasingly adopted to provide continuity in management practices, to deal with uncertainty and ecosystem considerations, and to ... -
Harvesting in a Fishery with Stochastic Growth and a Mean-Reverting Price
Kvamsdal, Sturla F; Poudel, Diwakar; Sandal, Leif Kristoffer (Journal article; Peer reviewed, 2014)We analyze a continuous, nonlinear bioeconomic model to demonstrate how stochasticity in the growth of fish stocks affects the optimal exploitation policy when prices are stochastic, mean-reverting and possibly harvest ...