Creating a Virtual Economic Environment to Simulate and Predict Economic Trend.

Last registered on December 28, 2025

Pre-Trial

Trial Information

General Information

Title
Creating a Virtual Economic Environment to Simulate and Predict Economic Trend.
RCT ID
AEARCTR-0015993
Initial registration date
May 11, 2025

Initial registration date is when the trial was registered.

It corresponds to when the registration was submitted to the Registry to be reviewed for publication.

First published
May 27, 2025, 6:42 AM EDT

First published corresponds to when the trial was first made public on the Registry after being reviewed.

Last updated
December 28, 2025, 2:40 AM EST

Last updated is the most recent time when changes to the trial's registration were published.

Locations

Region

Primary Investigator

Affiliation

Other Primary Investigator(s)

Additional Trial Information

Status
On going
Start date
2025-05-10
End date
2026-05-01
Secondary IDs
Prior work
This trial does not extend or rely on any prior RCTs.
Abstract
I believe that the economic trend can be predicted by create a virtual economic environment which close to reality. In this case, I design some rules and divide participants in to two different groups entrepreneurs and government official.

Based on the assumption of full demand and full employment, I consider that the main influence of the economy lie in entrepreneurs and government officials. Therefore, throughout the entire game, the participants who play the role of entrepreneurs compete to become the ultimate monopolist, while government official have to increase the city's GDP as much as possible on the basis of avoiding the emergence of monopolist.

This experiment addresses two key questions:
1. How can we create a virtual economic environment which close to reality?
2. How will the data of the virtual environment assist real world?

The first question stems directly from my new rules, which create a simple basic model that conforms to the laws of reality. The answer of second question is that we need to collect a large amount of experimental data, sort and classify these experiment data, and finally select the data that best represents reality from them as the reference for reality

External Link(s)

Registration Citation

Citation
Huajie, Cao. 2025. "Creating a Virtual Economic Environment to Simulate and Predict Economic Trend.." AEA RCT Registry. December 28. https://doi.org/10.1257/rct.15993-1.1
Experimental Details

Interventions

Intervention(s)
A total of 100 people were invited to participate in this experiment. They were evenly divided into ten groups. Within each group, two people formed a small group (one person make decision and the other one for calculation). According to the order of participation, the first ten people were assigned to the treatment, and the remaining ninety people were assigned as the control group.

Intervention (Hidden)
Based on the existing rules, which you can see in the experimental design, I use three different background as the intervention. The first one is mixed economy, which combines the market economy and the planned economy, it let the government group to introduce policies and the enterprise groups to competition. The second one is market economy. In this setting, the government group will be seen as the bank, the only thing they can do is that issue loans to enterprise groups. And the last one is technological stagnation, the technology trees will be forbidden in this setting.
Ten group will be evenly divide into three different background mods except the first group. The first group will follow the mixed economy as the treatment, this is because the mixed economy is the widest used economy strategy in the world.
And because of peoples have their own tactics as a player, and we may have different situation in the same setting, so each background have three matches to figure out what kind of future they will creating.
Intervention Start Date
2025-05-19
Intervention End Date
2025-12-30

Primary Outcomes

Primary Outcomes (end points)
I will focus on adjusting the detailed issues in the experimental rules to avoid the generation of unreasonable data
Primary Outcomes (explanation)
I assigned assistants to all the participants to calculate their income and expenditure for each round. These assistants would review the abnormal data after each trial.Then we will adjust the size of the values in the game to balance the game

Secondary Outcomes

Secondary Outcomes (end points)
I will pay attention to the decisions made by all participants in business competition behaviors and the consequences brought about by these decisions
Secondary Outcomes (explanation)
After each experiment, I will review the players' behaviors and discuss the reasons for such decisions and improvement plans

Experimental Design

Experimental Design
I tring to create new rules as the worldview of the experiment which close to reality world as possible. In this experiment, each participant uses their ability of analysis, bargain, and information collection to be a final monopolist. And we review the hole game to observe the economic trend and to find out the points which can cause the significant economic fluctuation. At the end of game, we discuss the decision the participant made, and try to find the method of optimization.
Experimental Design Details
The main rules are as follows:
1.All participants who play the role of entrepreneur conducted the experiment with the goal of obtaining their own maximum benefits.
2.The role of government administrator should promote urban construction, obtain tax revenue as much as possible, avoid monopoly happen, and only issue one executive order per round.
3.The experiment uses Chinese law as the reference basis. Violators will be punished by the role of government administrator.
4.Any calculation involving an amount will be rounded to the nearest whole number.
5.To ensure fairness, participants are not allowed to communicate privately in the first 30 rounds of the game.
6.Government administrator play the role of banks.
7.The experiment was conducted by five people. Four people played the role of entrepreneurs and one person played the role of the government administrator.
8.The match has a total of several plots. Each plot can have three buildings constructed, and different participant are allowed to build on the same plot.
9.The buildings that can be constructed on the plot include factories, shops, properties and warehouses.
10.The plot is allowed to be bought and sold and priced by the government. However, if the same player occupies all the building slots on the same plot, they will be forced to purchase the plot at a 70% price.
11.If participants build buildings, they will pay rent to the plot owner at 10% of the plot price. If the owner of the plot becomes a participant, the participant can determine the price by themselves.
12.The combination of factories and stores can generate profits. The real estate will return one times the investment amount as a one-time profit after three rounds.
13.After the real estate is completed, the real estate management fee will be obtained as income, and at the same time, the number of plots on the land will be permanently reduced while the real estate exists.
14.All buildings are divided into three levels. The combination of factory and store earns profits at 15%, 25%, and 35% of the land where the store is located in each round, and the construction and upgrade costs are 5%, 10%, and 15% of the land where the building is located.
15.For real estate, construction costs shall be paid at 75%, 100% and 125% of the price of the plot.
16.The owner of any building on the land can carry out demolition, and the demolition prices are classified by grade as 45%, 65%, and 85% of the plot.
17.The transportation distance exists in factories and stores, and the base of the range is three plots, and it rises to the highest level of five plots.
18.The warehouse can serve as a transfer station, with a front and back influence range of 5 plots.
19.Urban residents are not counted. By default, it is considered full employment and full demand.
20.Only one building can be constructed on the plot in each round.
21.The technology tree is divided into four major sections: clothing, food, transportation, and real estate.
22.Each section is divided into three levels. Players need to unlock the goods of the next level from low to high and obtain funds through a certain proportion. The amount of funds obtained is evenly distributed among the players.
23.The time required for upgrading the technology tree is as follows: 10 rounds for primary products, 20 rounds for intermediate products, 30 rounds for advanced products, and 25 rounds for special products.
24. Before the unlocking of the primary products of the technology tree is completed, all players will uniformly sell low-level products, and the price of this product will be 10% of the price of the plot.
25.After unlocking the technology tree, the selling prices of all low-level, medium-level and high-level products will be 15%, 25% and 40% of the land price respectively.
26.There is neutral building on the map: schools. By funding the schools in each round, research acceleration on the technology tree can be obtained.
27.When the technology tree reaches the top level, it will unlock the construction of special items. There is only one for each industry. If one person successfully develops it, others will not be able to develop it, and the progress of the already developed items will be reset to zero.
28.This technology of transportation will further increase the transportable range. The base is 2 grids, with an additional 2 plots for each level up, and the upper limit is 6 plots.29.At the final settlement, the research and development of special products will increase the industry's score by 20% for statistics. Special buildings in the real estate sector account for 30% and increase the overall government's final revenue by 10%.
Randomization Method
randomization made by draw
Randomization Unit
individual(participans)
Was the treatment clustered?
Yes

Experiment Characteristics

Sample size: planned number of clusters
10 matching group.
10 subjects participate in one group(one subjects corresponds to one assistants that assisstants help the subjects deal with calculation). In the same group, 4 participants played the role of entrepreneurs, 1 participant played the role of a government official, and 5 participants acted as assistants.
Sample size: planned number of observations
100 subjects will be evenly distributed among 10 matchong groups.
Sample size (or number of clusters) by treatment arms
10 matching group
Minimum detectable effect size for main outcomes (accounting for sample design and clustering)
IRB

Institutional Review Boards (IRBs)

IRB Name
IRB Approval Date
IRB Approval Number

Post-Trial

Post Trial Information

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Intervention

Is the intervention completed?
No
Data Collection Complete
Data Publication

Data Publication

Is public data available?
No

Program Files

Program Files
Reports, Papers & Other Materials

Relevant Paper(s)

Reports & Other Materials