{% extends "global/Page.html" %} {% load otree static %} {% block title %} The experiment {% endblock %} {% block content %}


The experiment is based on the decision situation just described to you, conducted once. You will enter your decisions in the screen in front of you.

{% if player.treatment == "equalpro" %}


You have 20 tokens at your disposal. You can put them into a private account or into a project. Each subject has to make two types of decisions in this experiment, which we will refer to below as the “unconditional contribution” and the “contribution table”.


In the unconditional contribution you simply decide how many of the 20 tokens you want to put in the project.


Your second task is to fill in a “contribution table” where you indicate how many tokens you want to contribute to the project for each possible average contribution of the other group members (rounded to the next integer). Here, you can condition your contribution on that of the other group members.


You have to insert how many tokens you want to contribute to the project into each input box – conditional on the indicated average contribution by the other members of your group. You must enter a number between 0 and 20 inclusive in each input box. For example, you have to indicate how much you contribute to the project if the others contribute 0 tokens on average to the project; how much you contribute if the others contribute 1, 2, or 3 tokens on average; etc.


After all participants of the experiment have made an unconditional contribution and have filled in their contribution table, a random mechanism will select one member from every group. For this group member, it is his contribution table that will determine his actual contribution; whereas, for the other three group members, it is their unconditional contributions that will determine their actual contributions. You will not know whom the random mechanism will select when you make your unconditional contribution and fill in your contribution table. You must therefore think carefully about both decisions because either could determine your actual contribution. In next page, two examples should make this clear.

{% elif player.treatment == "equalmain" %}


There are 80 tokens in a project. You can withdraw tokens from the project which will be automatically placed into your private account or you can leave them in the project. Each subject has to make two types of decisions in this experiment, which we will refer to below as the “unconditional withdrawal” and the “withdrawal table”.


In the unconditional withdrawal you simply decide how many of the 80 tokens you want to withdraw from the project.


Your second task is to fill in a “withdrawal table” where you indicate how many tokens you want to withdraw from the project for each possible average withdrawal of the other group members (rounded to the next integer). Here, you can condition your withdrawal on that of the other group members.


You have to insert how many tokens you want to withdraw from the project into each input box – conditional on the indicated average withdrawal by the other members of your group. You must enter a number between 0 and 20 inclusive in each input box. For example, you have to indicate how much you withdraw from the project if the others withdraw 0 tokens on average from the project; how much you withdraw if the others withdraw 1, 2, or 3 tokens on average; etc.


After all participants of the experiment have made an unconditional withdrawal and have filled in their withdrawal table, a random mechanism will select one member from every group. For this group member, it is his withdrawal table that will determine his actual withdrawal; whereas, for the other three group members, it is their unconditional withdrawals that will determine their actual withdrawals. You will not know whom the random mechanism will select when you make your unconditional withdrawal and fill in your withdrawal table. You must therefore think carefully about both decisions because either could determine your actual withdrawal. In next page, two examples should make this clear.

{% elif player.treatment == "unequalpro" and player.your_type == "low" %}


You have 10 tokens at your disposal.


You can put them into a private account or into a project. Each subject has to make two types of decisions in this experiment, which we will refer to below as the “unconditional contribution” and the “contribution table”.


In the unconditional contribution you simply decide how many of the 10 tokens you want to put in the project.


Your second task is to fill in two “contribution tables” where you indicate how many tokens you want to contribute to the project for each possible average contribution of the other group members (rounded to the next integer) depending on how many tokens they have at their disposal. Here, you can condition your contribution on that of the other group members.


You have to insert how many tokens you want to contribute to the project into each input box – conditional on the indicated average contribution by the other members of your group depending on how many tokens they have at their disposal. You must enter a number between 0 and 10 inclusive in each input box. For example, you have to indicate how much you contribute to the project if the other group member who has 10 tokens at his disposal contributes 0 tokens to the project; how much you contribute if the other group member who has 10 tokens at his disposal contributes 1, 2, or 3 tokens; etc. You also have to indicate how much you contribute to the project if the other group members who have 30 tokens each at their disposal contribute 0 tokens on average to the project; how much you contribute if the other group members who have 30 tokens each at their disposal contribute 1, 2, or 3 tokens on average; etc.


After all participants of the experiment have made an unconditional contribution and have filled in their contribution tables, a random mechanism will select one member from every group. For this group member, it is his contribution tables that will determine his actual contribution; whereas, for the other three group members, it is their unconditional contributions that will determine their actual contributions. You will not know whom the random mechanism will select when you make your unconditional contribution and fill in your contribution tables. You must therefore think carefully about both decisions because either could determine your actual contribution. In next page, two examples should make this clear.

{% elif player.treatment == "unequalpro" and player.your_type == "high" %}


You have 30 tokens at your disposal.


You can put them into a private account or into a project. Each subject has to make two types of decisions in this experiment, which we will refer to below as the “unconditional contribution” and the “contribution table”.


In the unconditional contribution you simply decide how many of the 30 tokens you want to put in the project.


Your second task is to fill in two “contribution tables” where you indicate how many tokens you want to contribute to the project for each possible average contribution of the other group members (rounded to the next integer) depending on how many tokens they have at their disposal. Here, you can condition your contribution on that of the other group members.


You have to insert how many tokens you want to contribute to the project into each input box – conditional on the indicated average contribution by the other members of your group depending on how many tokens they have at their disposal. You must enter a number between 0 and 30 inclusive in each input box. For example, you have to indicate how much you contribute to the project if the other group member who has 30 tokens at his disposal contributes 0 tokens to the project; how much you contribute if the other group member who has 30 tokens at his disposal contributes 1, 2, or 3 tokens; etc. You also have to indicate how much you contribute to the project if the other group members who have 10 tokens each at their disposal contribute 0 tokens on average to the project; how much you contribute if the other group members who have 10 tokens each at their disposal contribute 1, 2, or 3 tokens on average; etc.


After all participants of the experiment have made an unconditional contribution and have filled in their contribution tables, a random mechanism will select one member from every group. For this group member, it is his contribution tables that will determine his actual contribution; whereas, for the other three group members, it is their unconditional contributions that will determine their actual contributions. You will not know whom the random mechanism will select when you make your unconditional contribution and fill in your contribution tables. You must therefore think carefully about both decisions because either could determine your actual contribution. In next page, two examples should make this clear.

{% elif player.treatment == "unequalmain" and player.your_type == "low" %}


You can withdraw up to 10 tokens.


There are 80 tokens in a project. You can withdraw tokens from the project which will be automatically placed into your private account or you can leave them in the project. Each subject has to make two types of decisions in this experiment, which we will refer to below as the “unconditional withdrawal” and the “withdrawal table”.


In the unconditional withdrawal you simply decide how many of the 80 tokens you want to withdraw from the project.


Your second task is to fill in two “withdrawal tables” where you indicate how many tokens you want to withdraw from the project for each possible average withdrawal of the other group members (rounded to the next integer) depending on how many tokens they can withdraw. Here, you can condition your withdrawal on that of the other group members.


You have to insert how many tokens you want to withdraw from the project into each input box – conditional on the indicated average withdrawal by the other members of your group depending on how many tokens they can withdraw. You must enter a number between 0 and 10 inclusive in each input box. For example, you have to indicate how much you withdraw from the project if the other group member who can withdraw up to 10 tokens withdraws 0 tokens from the project; how much you withdraw if the other group member who can withdraw up to 10 tokens withdraws 1, 2, or 3 tokens; etc. You also have to indicate how much you withdraw from the project if the other group members who can withdraw up to 30 tokens each withdraws 0 tokens on average to the project; how much you withdraw from the project if the other group members who can withdraw up to 30 tokens each withdraw 1, 2, or 3 tokens on average; etc.


After all participants of the experiment have made an unconditional withdrawal and have filled in their withdrawal tables, a random mechanism will select one member from every group. For this group member, it is his withdrawal tables that will determine his actual withdrawal; whereas, for the other three group members, it is their unconditional withdrawals that will determine their actual withdrawals. You will not know whom the random mechanism will select when you make your unconditional withdrawal and fill in your withdrawal tables. You must therefore think carefully about both decisions because either could determine your actual withdrawal. In next page, two examples should make this clear.

{% elif player.treatment == "unequalmain" and player.your_type == "high" %}


You can withdraw up to 30 tokens.


There are 80 tokens in a project. You can withdraw tokens from the project which will be automatically placed into your private account or you can leave them in the project. Each subject has to make two types of decisions in this experiment, which we will refer to below as the “unconditional withdrawal” and the “withdrawal table”.


In the unconditional withdrawal you simply decide how many of the 80 tokens you want to withdraw from the project.


Your second task is to fill in two “withdrawal tables” where you indicate how many tokens you want to withdraw from the project for each possible average withdrawal of the other group members (rounded to the next integer) depending on how many tokens they can withdraw. Here, you can condition your withdrawal on that of the other group members.


You have to insert how many tokens you want to withdraw from the project into each input box – conditional on the indicated average withdrawal by the other members of your group depending on how many tokens they can withdraw. You must enter a number between 0 and 30 inclusive in each input box. For example, you have to indicate how much you withdraw from the project if the other group member who can withdraw up to 30 tokens withdraws 0 tokens from the project; how much you withdraw if the other group member who can withdraw up to 30 tokens withdraws 1, 2, or 3 tokens; etc. You also have to indicate how much you withdraw from the project if the other group members who can withdraw up to 10 tokens each withdraws 0 tokens on average to the project; how much you withdraw from the project if the other group members who can withdraw up to 10 tokens each withdraw 1, 2, or 3 tokens on average; etc.


After all participants of the experiment have made an unconditional withdrawal and have filled in their withdrawal tables, a random mechanism will select one member from every group. For this group member, it is his withdrawal tables that will determine his actual withdrawal; whereas, for the other three group members, it is their unconditional withdrawals that will determine their actual withdrawals. You will not know whom the random mechanism will select when you make your unconditional withdrawal and fill in your withdrawal tables. You must therefore think carefully about both decisions because either could determine your actual withdrawal. In next page, two examples should make this clear.

{% endif %} {% formfields %} {% next_button %} {% endblock %}