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Applications of Integration to Find Consumer Surplus01:29

Applications of Integration to Find Consumer Surplus

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In microeconomics, consumer surplus represents the economic gain that consumers experience when they purchase a good or service for less than the highest price they are willing to pay. This surplus arises from the characteristics of the demand function, which links the quantity of a good to the price consumers are willing to pay. As the quantity of a good increases, the price that consumers are willing to pay for each additional unit typically decreases, resulting in a downward-sloping demand...
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Modeling with Differential Equations01:25

Modeling with Differential Equations

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Population dynamics can be described mathematically by considering the population size P(t) as a function of time. The rate of change of the population is then represented by the derivative of P(t). A simple assumption is that the rate of growth is proportional to the size of the population itself. This leads to an exponential growth model, where the population increases rapidly without bound. While this is a useful first approximation, it does not reflect realistic long-term...
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Mechanistic Models: Compartment Models in Individual and Population Analysis01:23

Mechanistic Models: Compartment Models in Individual and Population Analysis

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Mechanistic models are utilized in individual analysis using single-source data, but imperfections arise due to data collection errors, preventing perfect prediction of observed data. The mathematical equation involves known values (Xi), observed concentrations (Ci), measurement errors (εi), model parameters (ϕj), and the related function (ƒi) for i number of values. Different least-squares metrics quantify differences between predicted and observed values. The ordinary least...
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Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving01:29

Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving

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Mechanistic models play a crucial role in algorithms for numerical problem-solving, particularly in nonlinear mixed effects modeling (NMEM). These models aim to minimize specific objective functions by evaluating various parameter estimates, leading to the development of systematic algorithms. In some cases, linearization techniques approximate the model using linear equations.
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Compartment Models: Two-Compartment Model01:20

Compartment Models: Two-Compartment Model

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The two-compartment model divides the body into central and peripheral compartments to account for varying blood perfusion rates among organs and tissues, affecting drug distribution. The central compartment includes blood and highly perfused tissues with rapid drug distribution, while the peripheral compartment contains tissues with slower drug distribution. After a single IV bolus dose, the drug concentration is high in plasma and low in tissues. The drug distribution between compartments...
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Model Approaches for Pharmacokinetic Data: Distributed Parameter Models01:06

Model Approaches for Pharmacokinetic Data: Distributed Parameter Models

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Pharmacokinetic models are mathematical constructs that represent and predict the time course of drug concentrations in the body, providing meaningful pharmacokinetic parameters. These models are categorized into compartment, physiological, and distributed parameter models.
The distributed parameter models are specifically designed to account for variations and differences in some drug classes. This model is particularly useful for assessing regional concentrations of anticancer or...
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Related Experiment Videos

A linear city model with asymmetric consumer distribution.

Ofer H Azar1

  • 1Department of Business Administration, Ben-Gurion University of the Negev, Beer Sheva, Israel.

Plos One
|June 3, 2015
PubMed
Summary

This study models asymmetric consumer distribution in a linear city, revealing that price differences arise even with equal firm costs and symmetric locations. These price disparities are driven by transportation costs, not the product

Area of Science:

  • Economic theory
  • Market structure analysis
  • Spatial economics

Background:

  • Real-world markets often exhibit asymmetric consumer distributions.
  • Existing economic models may not fully capture price dynamics under such asymmetry.
  • Understanding price setting behavior is crucial for market analysis.

Purpose of the Study:

  • To analyze a linear-city economic model with asymmetric consumer distributions.
  • To determine the factors influencing equilibrium price differences and firm markups.
  • To investigate the impact of varying firm costs alongside consumer asymmetry.

Main Methods:

  • Development of a linear-city economic model.
  • Equilibrium analysis of price differences and firm markups.

Related Experiment Videos

  • Comparative statics to assess the impact of transportation costs and consumer distribution.
  • Main Results:

    • Equilibrium price differences emerge even with symmetric firm costs and locations.
    • Price differences are directly proportional to the transportation cost parameter.
    • Firm markups also scale with transportation costs; prices equalize only under specific consumer distribution conditions.

    Conclusions:

    • Asymmetric consumer distribution is a key driver of price dispersion in markets.
    • Transportation costs play a significant role in determining price levels and markups.
    • The model provides a flexible framework for analyzing market competition with asymmetric factors.