forecasting

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Forecasting is the process of making predictions based on past and present data. Any decision we make is based on a prediction what will happen. Here we study and discuss how to do that well.

Related community: [email protected]

Forecasting can be about economics, marketing, products, finance, technology, policies, demographics, energy, climate, crime, politics, or whatever.

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Mantic Monday 2/19/24 (www.astralcodexten.com)
submitted 6 months ago by [email protected] to c/[email protected]
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Haley Republicans Could Sink Trump (tellingthefuture.substack.com)
submitted 7 months ago by [email protected] to c/[email protected]
 
 
  • 96% chance Donald Trump will be the Republican nominee in 2024
  • 73% chance the Democratic nominee will win the presidency in 2024
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Predictions for 2024 (firstsigma.substack.com)
submitted 7 months ago by [email protected] to c/[email protected]
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Mantic Monday 1/29/24 (www.astralcodexten.com)
submitted 7 months ago by [email protected] to c/[email protected]
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Randomized controlled trials (RCT) are the gold standard in causal inference and are often used by decision-makers in public and private sectors. However, RCTs are often expensive and take a long time to complete, making predicting its effects prior to completion practically important. In this paper, we test the forecasting accuracy of groups of experienced forecasters, academic experts, and lay people in predicting such long-run causal effects. To do this, we recruit 511 unique participants and collect 25,980 individual forecasts. Participants predict the short-run as well as long-run effects of seven RCTs that collected data on a treatment effect with a duration of at least 5 years. We find that experienced forecasters and academics outperform lay people. We also find evidence that experienced forecasters perform better than academics on our primary accuracy measure, and that this is, at least in part, due to their superior calibration. While we do find aggregation effects suggesting a wisdom of the crowds effect, we also show that neither experienced forecasters nor academics consistently outperform a set of simple benchmarks. Additionally, we also fail to find evidence that randomly assigned information about good forecasting practices, details about the RCT intervention, or the local study context improves forecasting accuracy. Overall, our finding that experienced forecasters can outperform academic experts is a novel addition to an otherwise mixed literature. However, the general pattern of results is largely in line with other work, showing that forecasting long-run events is extremely difficult and that improving forecasting performance remains somewhat intractable.

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  • The chances are very high that Trump (89%) and Biden (91%) will be the presidential nominees.

  • Even if he receives a felony conviction before the Republican National Convention, Trump is highly likely to be the nominee (84%).

  • Assuming Trump is the Republican nominee, a felony conviction would still hinder Trump’s general election campaign, with his re-election chances dropping from 48% to 37%.

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