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Stochastic DEA
Data Envelopment Analysis (DEA) was introduced as a linear programming model by Charnes et al. (Eur J Oper Res 2:429–444, 1978) and Banker et al.... -
Discrete State Space Value Function Iteration
The methods presented in the previous chapters use a system of stochastic difference equations that governs the time path of an economy to find... -
On maximin dynamic programming and the rate of discount
This article establishes a dynamic programming argument for a maximin optimization problem where the agent completes a minimization over a set of...
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Battery Electric Vehicle Traveling Salesman Problem with Drone
The idea of deploying electric vehicles and unmanned aerial vehicles (UAVs), also known as drones, to deliver packages in logistics operations has...
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Bayesian persuasion in unlinked games
Originating from Kamenica and Gentzkow (Am Econ Rev 101(6):2590–2615, 2011), we analyze multi-receiver Bayesian persuasion games with heterogeneous...
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Designing Metro Network Expansion: Deterministic and Robust Optimization Models
The design and construction of metro networks are typically conducted in stages due to the ongoing growth of urbanization and investment in public...
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A Dynamic Trading Model for Use with a One Step Ahead Optimal Strategy
This paper proposes a discrete-time model for dynamic trading, interconnecting cash and asset stocks. The trading action or control is based on the...
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Differentiability of the value function and Euler equation in non-concave discrete-time stochastic dynamic programming
We consider a stochastic, non-concave dynamic programming problem admitting interior solutions and prove, under mild conditions, that the expected...
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Assessing seed and breeding interventions for organic farming using a multiagent value chain approach
According to the EU’s organic regulation, the use of organic seed is generally binding in organic farming. Because of an organic seed shortage,...
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Optimal additional voluntary contribution in DC pension schemes to manage inadequacy risk
In defined contribution pension schemes the member bears the investment risk and her main concern is to obtain an inadequate fund at retirement. To...
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Examining disparities in common agriculture policy direct payments among farming systems: evidence from Portugal
One of the stated goals of the common agricultural policy reforms has been to provide a fairer distribution of payments across and within member...
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An Elastic Demand Model for Locating Electric Vehicle Charging Stations
In this study, we aim to optimally locate multiple types of charging stations, e.g., fast-charging stations and slow-charging stations, for...
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The Art of Temporal Approximation: An Investigation into Numerical Solutions to Discrete- and Continuous-Time Problems in Economics
A recent literature within quantitative macroeconomics has advocated the use of continuous-time methods for dynamic programming problems. In this...
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The ‘Programming Approach’
The following chapters refer to elements referenced in the conclusion of Chap. 4 , with the aim of further characterising Frisch’s concept of... -
Optimal Allocation of the Public Funds to the Transportation Infrastructures Using the Interregional Input–Output Programming Model (Part II): Specification with Ten Regions, Ten Industries, and Nine Transport Modes
This chapter analyzes the main topic in Chap. 4 with the expanded model specification in terms of the... -
Positive weights in data envelopment analysis
Data Envelopment Analysis (DEA) models give each decision making unit freedom to assign values to the input-output weights maximising its efficiency...
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Basic Models
This chapter presents the basic Ramsey model, which is fundamental for modern macroeconomic research and paves the way for the algorithms presented... -
Mean-Variance Model and Its Modifications in the Chinese Securities Exchange Market
Based on the classic mean-variance model, this paper makes a retrospective analysis of the efficiency and improvements of the model in China’s... -
Resource Management: A Bi-Objective Methodological Approach for Routing in Crisis Situations
This research work aims to describe a Resource Management (RM) approach which was developed in such a generalized way that allows its adaption and... -
Identification in a binary choice panel data model with a predetermined covariate
We study identification in a binary choice panel data model with a single predetermined binary covariate (i.e., a covariate sequentially exogenous...