2 datasets found

  1. Top 100 Richest People in the World

    • kaggle.com
    Updated Sep 18, 2022
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    Ayessa (2022). Top 100 Richest People in the World [Dataset]. https://www.kaggle.com/datasets/ayessa/top-100-richest-people-in-the-world
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Sep 18, 2022
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Ayessa
    License

    https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

    Area covered
    World
    Description

    Introduction

    This dataset contains the top 100 richest people in the world based on their net worth. The dataset includes their rank, name, net worth, birthday, age, and nationality.

    Methodology

    This dataset was collected using web scraping (Beautiful Soup) on this website and this "https://en.wikipedia.org/wiki/List_of_countries_by_number_of_billionaires">wikipedia

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  2. J

    WHO REALLY WANTS TO BE A MILLIONAIRE? ESTIMATES OF RISK AVERSION FROM...

    • journaldata.zbw.eu
    • jda-test.zbw.eu
    pdf, txt, zip
    Updated Dec 7, 2022
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    Roger Hartley; Gauthier Lanot; Ian Walker; Roger Hartley; Gauthier Lanot; Ian Walker (2022). WHO REALLY WANTS TO BE A MILLIONAIRE? ESTIMATES OF RISK AVERSION FROM GAMESHOW DATA (replication data) [Dataset]. http://doi.org/10.15456/jae.2022321.0715081176
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    pdf(181797), txt(29441), zip(99967), txt(16864), txt(2533)Available download formats
    Unique identifier
    https://doi.org/10.15456/jae.2022321.0715081176
    Dataset updated
    Dec 7, 2022
    Dataset provided by
    ZBW - Leibniz Informationszentrum Wirtschaft
    Authors
    Roger Hartley; Gauthier Lanot; Ian Walker; Roger Hartley; Gauthier Lanot; Ian Walker
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    This paper estimates the degree of risk aversion from one of the most popular TV gameshows ever. The format of the show is straightforward; it involves no strategic decision making; we have a large number of observations; and the prizes are cash, which is paid immediately and covers a large range: from £100 up to £1 million. We provide non-parametric estimates of the utility function and then we test some parametric restrictions. We find that, although the restriction to CRRA utility is statistically rejected, a log function approximates the utility function quite well over a large range of potential winnings.

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Share
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TwitterTwitter
Email
Click to copy link
Link copied
Close
Cite
Ayessa (2022). Top 100 Richest People in the World [Dataset]. https://www.kaggle.com/datasets/ayessa/top-100-richest-people-in-the-world
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Top 100 Richest People in the World

the top 100 richest people in the world with other info

Explore at:
8 scholarly articles cite this dataset (View in Google Scholar)
CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
Dataset updated
Sep 18, 2022
Dataset provided by
Kagglehttp://kaggle.com/
Authors
Ayessa
License

https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

Area covered
World
Description

Introduction

This dataset contains the top 100 richest people in the world based on their net worth. The dataset includes their rank, name, net worth, birthday, age, and nationality.

Methodology

This dataset was collected using web scraping (Beautiful Soup) on this website and this "https://en.wikipedia.org/wiki/List_of_countries_by_number_of_billionaires">wikipedia

Thumbnail Photo

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