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construct indices to measure attitudes or opinions

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ChatGPT You said: Uploaded image Scan the uploaded image and write its content here ChatGPT said: Here’s the content from the uploaded image: Project 2 Measuring Willingness to Pay for Climate Change Mitigation When designing policies to reduce carbon emissions or air pollution, or to save an endangered species or preserve biodiversity, economists face the problem that markets for environmental amenities are missing. How can the value to people of the abatement of environmental damage be calculated and set against the cost of implementation? A number of methods can be used to estimate the value of abatement. One method, called contingent valuation – a survey-based technique used to access the value of non-market resources – involves asking people directly how much they value the good. Two common ways of obtaining information about willingness to pay (WTP) are: dichotomous choice: presenting individuals with an amount, to which they respond with either ‘yes/willing to pay’ or ‘no/not willing to pay’, and sometimes with a ‘no response’ option a two-way payment ladder: asking individuals to state the minimum and maximum amount they are willing to pay. As with all subjective measures, both of these methods face different kinds of response biases. In this project, we ask whether they give the same results on average. The issue of how to measure WTP for non-market goods such as abatement of pollution is important for policymaking. Incorrectly estimating the WTP may result in too much or too little abatement. We will look at climate change mitigation as an example. Since tackling climate change may entail short-term costs such as reforestation of degraded forests, governments may want to know how much their citizens are willing to pay to reduce carbon emissions as a method of mitigating climate change. In this project you will: compare survey measures of willingness to pay construct indices to measure attitudes or opinions use Cronbach’s alpha to assess indices for internal consistency practice re-coding and creating new variables.

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Uploaded on
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Measuring Willingness to Pay 1




PROJECT 2: Measuring Willingness to Pay for Climate Change Mitigation




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, Measuring Willingness to Pay 2



Title: Measuring Willingness to Pay for Climate Change Mitigation

According to Li and Kallas (2015), Willingness to Pay (WTP) is simply the most that one

is ready to pay to get something he/she desires—or to avert something unwanted, like

environmental damage. When it comes to climate change and there's no clear price tag,

economists use surveys to get a sense of what people might be willing to pay. One common

approach is called stated preference methods, and a popular one within that is contingent

valuation.

There are a couple of ways these surveys are usually set up, including what's known as

the dichotomous choice format and the two-way payment ladder.

1.1 Dichotomous Choice Format

In a more relatable manner, the target audience is asked something like the statement

below:

"Would you be willing to pay $50 a year to support reforestation projects that help fight climate

change?

Yes / No / No opinion"

The Dichotomous choice format keeps things simple for the target person answering and

makes the data easy to work with—especially when using tools like logistic regression to analyze

the results. However, this format is not perfect. One of the main challenges that this approach

faces is the anchoring effect. As explained by Ding (2023), the anchoring effect is a situation

where the first number of people sees as certain amount of money can have a direct impact even

in the case where it does not match what they would normally be willing to pay. This setup

works a lot like a real-life buying decision—people are simply asked to say “yes” or “no” to a set
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