Older motor vehicles and other aspects within the proposal of environmental tax in the Czech Republic

David, Petr; Křápek, Milan

doi:10.11118/actaun201361072033

Cited by 5 publications

(5 citation statements)

References 8 publications

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“…In economics, state variables may be represented by such quantities as production, consumption, investment, etc. The modelling of phenomena which are based on economic reality and described by statistical data, is facilitated in particular by methods from various fi elds of mathematics such as diff erential calculus (Aluf, 2012;Balasubramaniam, 2014;Faria, 2013), statistics (David, 2013), (Plaček, 2013), linear and dynamic programming (Hassan, 2011), optimization (Subagyo, 2014;Zaarour, 2014), etc. The current methods for investigation these systems are focused primarily on the identifi cation of states in which the system behaviour is predictable, and states in which the system shows signs of deterministic chaos.…”

Section: Literature Reviewmentioning

confidence: 99%

Parameter Estimation for Dynamic Model of the Financial System

Novotná¹,

Štěpánková²

2016

Acta Univ. Agric. Silvic. Mendelianae Brun.

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Economy can be considered a large, open system which is infl uenced by fl uctuations, both internal and external. Based on non-linear dynamics theory, the dynamic models of a fi nancial system try to provide a new perspective by explaining the complicated behaviour of the system not as a result of external infl uences or random behaviour, but as a result of the behaviour and trends of the system's internal structures. The present article analyses a chaotic fi nancial system from the point of view of determining the time delay of the model variables -the interest rate, investment demand, and price index. The theory is briefl y explained in the fi rst chapters of the paper and serves as a basis for formulating the relations. This article aims to determine the appropriate length of time delay variables in a dynamic model of the fi nancial system in order to express the real economic situation and respect the eff ect of the history of factors under consideration. The determination of the delay length is carried out for the time series representing Euro area. The methodology for the determination of the time delay is illustrated by a concrete example.

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Section: Literature Reviewmentioning

confidence: 99%

Parameter Estimation for Dynamic Model of the Financial System

Novotná¹,

Štěpánková²

2016

Acta Univ. Agric. Silvic. Mendelianae Brun.

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“…Modelling phenomena which arise from economic reality and which are described by statistical data are possible thanks to methods based predominantly on mathematical disciplines, such as statistics, numerical methods, operational research, linear and dynamic programming, and optimization, etc. (e.g., see [26–30]). One way of giving a true picture of the dynamics of processes in a model is to describe a dynamic model using differential equations.…”

Section: Differential Equations With a Delay Argumentmentioning

confidence: 99%

“…(e.g., see [26][27][28][29][30]). One way of giving a true picture of the dynamics of processes in a model is to describe a dynamic model using differential equations.…”

Section: Differential Equations With a Delay Argumentmentioning

confidence: 99%

Numerical Solution of the Inventory Balance Delay Differential Equation

Novotná

2015

International Journal of Engineering Business Management

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Inventory represents an essential part of current assets, which are typically characterized by their transience. This paper aims to outline a numerical solution of the inventory balance equation supplemented by an order-upto replenishment policy for a case in which the problem is described by a differential equation with delayed argument. The results are demonstrated on a specific example and the behaviour of the model is presented using a computer simulation. The results are graphically shown in the Maple system. The solution makes use of the theory of functional differential equations, especially the part dealing with differential equations with delayed arguments.

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Section: Literature Reviewmentioning

confidence: 99%

Parameter Estimation for Dynamic Model of the Financial System

Novotná¹,

Štěpánková²

2015

Acta Univ. Agric. Silvic. Mendelianae Brun.

View full text Add to dashboard Cite

Economy can be considered a large, open system which is infl uenced by fl uctuations, both internal and external. Based on non-linear dynamics theory, the dynamic models of a fi nancial system try to provide a new perspective by explaining the complicated behaviour of the system not as a result of external infl uences or random behaviour, but as a result of the behaviour and trends of the system's internal structures. The present article analyses a chaotic fi nancial system from the point of view of determining the time delay of the model variables-the interest rate, investment demand, and price index. The theory is briefl y explained in the fi rst chapters of the paper and serves as a basis for formulating the relations. This article aims to determine the appropriate length of time delay variables in a dynamic model of the fi nancial system in order to express the real economic situation and respect the eff ect of the history of factors under consideration. The determination of the delay length is carried out for the time series representing Euro area. The methodology for the determination of the time delay is illustrated by a concrete example.

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Older motor vehicles and other aspects within the proposal of environmental tax in the Czech Republic

Abstract: Abstract

Cited by 5 publications

References 8 publications

Parameter Estimation for Dynamic Model of the Financial System

Parameter Estimation for Dynamic Model of the Financial System

Numerical Solution of the Inventory Balance Delay Differential Equation

Parameter Estimation for Dynamic Model of the Financial System

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