Micro- And Macroeconomic Simulation Modeling at Leibniz Universität Hannover | Flashcards & Summaries

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Lernmaterialien für Micro- and Macroeconomic Simulation Modeling an der Leibniz Universität Hannover

Greife auf kostenlose Karteikarten, Zusammenfassungen, Übungsaufgaben und Altklausuren für deinen Micro- and Macroeconomic Simulation Modeling Kurs an der Leibniz Universität Hannover zu.

TESTE DEIN WISSEN

how can new variables be created?

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TESTE DEIN WISSEN
  • generate newvar = exp
    • creates new simple variable
  • egen newvar = fcn(arguments)
    • can be used to create complex new variables
Lösung ausblenden
TESTE DEIN WISSEN

what are visulatizations of the interface?

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TESTE DEIN WISSEN
  • world (square)
  • plots (graphs)
Lösung ausblenden
TESTE DEIN WISSEN

how can the CGE-feature "simulation" be used? 

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TESTE DEIN WISSEN
  • compare situation before and after the simulation/ prediction
    • relative changes of key variables (prices, quantities)
    • changes in GDP, welfare, trade, labor cost, unemployment, CPI)
    • change on: factor + commodity markets (e.g. land-labour, prod.-cons.)
  • derive recommendations (policy-making, decision-taking)
Lösung ausblenden
TESTE DEIN WISSEN

what are ticks?

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TESTE DEIN WISSEN

time steps

Lösung ausblenden
TESTE DEIN WISSEN

Why should modeling be done, when all models are wrong?

Lösung anzeigen
TESTE DEIN WISSEN
  • some are still helpful
  • ABMs cannot predict the future, but
    • can help to identify possible + probable development paths & undesirable/ unintended consequences
    • provide virtual room to conduct a alrge number of experiments under different conditions at relatively low costs
    • support policy-making
    • can contribute to the system untderstanding
    • can facilitate dialogue + learning processes
    • can provide and ethical alternative to conduct experiments


Lösung ausblenden
TESTE DEIN WISSEN

wherefore could an AGM be applied?

Lösung anzeigen
TESTE DEIN WISSEN

wide range of applications possible:

  • land use decision
  • diffusion processes
  • impact of climate change
  • modelling of financial crisis
  • optimization of business and manufacturing processes
  • behavioral patterns of animals
  • trade models
Lösung ausblenden
TESTE DEIN WISSEN

name differences (advantages) of the ABM in comparison to other models

Lösung anzeigen
TESTE DEIN WISSEN
  • heterogeneous population
  • knowledge of aggregate phenomena not required
  • modeling individuals + not aggregates allows more realistic representation
  • results are more detailed as more information (e.g. history) is available (in comparison to equation based modeling)
Lösung ausblenden
TESTE DEIN WISSEN

what are advantages of ABMs?

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TESTE DEIN WISSEN

very flexible

  • heterogeneous agents 
  • implementation of diff. behaviour theories possible
  • different aggregation levels possible
  • modelling of reference patterns or let patterns emerge
  • intersections (geographics information systems, R, CSV)
  • analysis of hypothetical scenarios
  • wide range of applications
  • can consider emergence, observations, sensing, objective & adaptive behaviour, interactions, prediction
Lösung ausblenden
TESTE DEIN WISSEN

what are/ is the difference between lists and agentsets?

Lösung anzeigen
TESTE DEIN WISSEN

Lists: 

  • store multiple pieces of information in one variable, can be a number, string, agent, agentsset, another list (e.g. set my-list [1 2 3 "test"]
  • often used to store or change variables (filter, sort)
  • have a specific order of the information (e.g. if we set my-list 1 2 3 it will remin 1 2 3)

Agentsets:

  • set of agents of the sample type (turtles, patches, links) 
    • without a specific order
  • can also obtain a subset of agents (e.g. turtles with [color = blue], patcehs with [pycor > 0]
Lösung ausblenden
TESTE DEIN WISSEN

what are variables of NetLogo?

Lösung anzeigen
TESTE DEIN WISSEN
  • global variables = one value, accessible by every agent, can be set in the interface or at the beginning of the code -> globals [total-trades] or in [](season, marketprice,..)
  • turtle, patch, link variables = specific for each individual agent, built-in or defined by user at beginning of code -> turtles-own [money toys price price-up price-down] (location, income,...)
  • local variable = defined + only used within one procedure using "let" -> let sellers-price 0
Lösung ausblenden
TESTE DEIN WISSEN

which data can be used for input?

Lösung anzeigen
TESTE DEIN WISSEN

variety of data input possible

  • hh survey
  • stakeholder interviews
  • experimental data
  • role-playing-games
  • GIS-Data
  • social network data
  • theories
Lösung ausblenden
TESTE DEIN WISSEN

What are instructions in NetLogo?

Lösung anzeigen
TESTE DEIN WISSEN
  • primitives = build-in instructions (e.g. create-turtles, forward,.. -> in blue)
  • procedures = defined by user, once programmed can be used elsewhere in the programme (=black) -> go, transact
  • reporters = computes/ reports output, can take input or not (e.g. calculate income from formula) -> to-report top-ten-pct-wealth
  • observer -> "ask" turtles to do something
Lösung ausblenden
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Q:

how can new variables be created?

A:
  • generate newvar = exp
    • creates new simple variable
  • egen newvar = fcn(arguments)
    • can be used to create complex new variables
Q:

what are visulatizations of the interface?

A:
  • world (square)
  • plots (graphs)
Q:

how can the CGE-feature "simulation" be used? 

A:
  • compare situation before and after the simulation/ prediction
    • relative changes of key variables (prices, quantities)
    • changes in GDP, welfare, trade, labor cost, unemployment, CPI)
    • change on: factor + commodity markets (e.g. land-labour, prod.-cons.)
  • derive recommendations (policy-making, decision-taking)
Q:

what are ticks?

A:

time steps

Q:

Why should modeling be done, when all models are wrong?

A:
  • some are still helpful
  • ABMs cannot predict the future, but
    • can help to identify possible + probable development paths & undesirable/ unintended consequences
    • provide virtual room to conduct a alrge number of experiments under different conditions at relatively low costs
    • support policy-making
    • can contribute to the system untderstanding
    • can facilitate dialogue + learning processes
    • can provide and ethical alternative to conduct experiments


Mehr Karteikarten anzeigen
Q:

wherefore could an AGM be applied?

A:

wide range of applications possible:

  • land use decision
  • diffusion processes
  • impact of climate change
  • modelling of financial crisis
  • optimization of business and manufacturing processes
  • behavioral patterns of animals
  • trade models
Q:

name differences (advantages) of the ABM in comparison to other models

A:
  • heterogeneous population
  • knowledge of aggregate phenomena not required
  • modeling individuals + not aggregates allows more realistic representation
  • results are more detailed as more information (e.g. history) is available (in comparison to equation based modeling)
Q:

what are advantages of ABMs?

A:

very flexible

  • heterogeneous agents 
  • implementation of diff. behaviour theories possible
  • different aggregation levels possible
  • modelling of reference patterns or let patterns emerge
  • intersections (geographics information systems, R, CSV)
  • analysis of hypothetical scenarios
  • wide range of applications
  • can consider emergence, observations, sensing, objective & adaptive behaviour, interactions, prediction
Q:

what are/ is the difference between lists and agentsets?

A:

Lists: 

  • store multiple pieces of information in one variable, can be a number, string, agent, agentsset, another list (e.g. set my-list [1 2 3 "test"]
  • often used to store or change variables (filter, sort)
  • have a specific order of the information (e.g. if we set my-list 1 2 3 it will remin 1 2 3)

Agentsets:

  • set of agents of the sample type (turtles, patches, links) 
    • without a specific order
  • can also obtain a subset of agents (e.g. turtles with [color = blue], patcehs with [pycor > 0]
Q:

what are variables of NetLogo?

A:
  • global variables = one value, accessible by every agent, can be set in the interface or at the beginning of the code -> globals [total-trades] or in [](season, marketprice,..)
  • turtle, patch, link variables = specific for each individual agent, built-in or defined by user at beginning of code -> turtles-own [money toys price price-up price-down] (location, income,...)
  • local variable = defined + only used within one procedure using "let" -> let sellers-price 0
Q:

which data can be used for input?

A:

variety of data input possible

  • hh survey
  • stakeholder interviews
  • experimental data
  • role-playing-games
  • GIS-Data
  • social network data
  • theories
Q:

What are instructions in NetLogo?

A:
  • primitives = build-in instructions (e.g. create-turtles, forward,.. -> in blue)
  • procedures = defined by user, once programmed can be used elsewhere in the programme (=black) -> go, transact
  • reporters = computes/ reports output, can take input or not (e.g. calculate income from formula) -> to-report top-ten-pct-wealth
  • observer -> "ask" turtles to do something
Micro- and Macroeconomic Simulation Modeling

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