Computational Modeling of Glucose Toxicity in Pancreatic Β-cells
Computational Modeling of Macroeconomics
-
Upload
cynthia-mcmahon -
Category
Documents
-
view
39 -
download
5
description
Transcript of Computational Modeling of Macroeconomics
Computational Modeling of Macroeconomics
Adam Szatrowski '12
Stephen Sentoff '11
Introduction
Goals
Lack of literature
Humble roots
Prototype economy
Our Concept
Firms and Households
Observe the interactions, recording prices and quantities
Observe key economic variables Inflation (Δ Price Level) Unemployment Rate Consumption Inventories
Perfect competition, with imperfect information
Agents
Households Use a Cobb-Douglas consumption function for Cookies Choose between savings and consumption Preferences are randomized Employment decisions, 2 ways
Firms Use a Cobb-Douglas production function for Cookies Choose between labor and capital Seek to hold zero inventory at the end of each period
SimulationTechnical Aspects
500 lines of Object Oriented Python Graphing using MatPlotLib
Initial State Generate number of households and firms with randomized
preferences and production functions respectively
Periods At the beginning of each period: Households adjust wage expectations, affects labor supply Firms estimate demand using a PID controller for inventory The round begins, and agents engage in buying and selling
Decision Making
Households poll 2 random firms, optimize using the lower price
Firms determine production based on previous demand
Firms poll 10 random workers, optimize production using the average wage demanded
Households set wage rate based on previous consumption, inflation, and wages
Key Parameters
1. Ratio of Firms to Households
2. Household and Firm endowed funds
3. Household wage indexation vs. consumption indexation
4. Workweek hour limit
5. Mean preference terms
6. Rounds of buying and selling in each period
Results
Questions