Skip to main content

ETHNOS_APP

Home • Search • Journals • List 0

Daniel K N Johnson

Biographic Data

ID1474899
NAMEDaniel K N Johnson
GIVEN NAMESDaniel K N
FAMILY NAMEJohnson
SIGNATUREJOHNSON D K N
AFFILIATIONSColorado College
ORCID0000-0002-5142-0940
VERIFIEDYes
TOTAL WORKS6
TOTAL CITATIONS15
WORKS AS AUTHOR6
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2004
LATEST PUBLICATION YEAR2025
H-INDEX2
  • Black and Blue

    Open Access•Charlotte Schwebel, Daniel K N Johnson•ARTICLE•Journal of Economics Race and…•2025•References: 12

  • Gaslighting Ourselves

    Open Access•Daniel K N Johnson•ARTICLE•The Review of Black Political…•2025•References: 3

    Creating ethical, equitable and racially-just machine learning is currently impossible for six reasons, summarized by the acronym DO-GOOD : (1) data for training is historically racially biased, (2) ownership of data is disproportionately racially tilted, (3) guidelines /ethical algorithms have been largely lacking, especially in the space of racial equity, (4) opacity of algorithm design prevents testing for racial bias, and then improvement of …

  • The Deadly Cost of Informal Lending

    Open Access•Daniel K N Johnson, Lakhwinder Singh et al.•ARTICLE•Millennial Asia•2023•References: 1

    The Indian state of Punjab, which initially benefited greatly from the green revolution, has suffered from a dramatic rise in agrarian suicides for several decades. We use a carefully constructed sample of over 1,000 farmers in the epicentre, and build a three-stage model of agricultural production decisions across multiple input and multiple output choices, indebtedness from multiple sources and suicide via an IPWRA (inverse probability weighted…

  • Who Really Wants to be a Millionaire? Gender Differences in Game Show Contestant Behavior Under Risk

    Open Access•Daniel K N Johnson, Tracy R Gleason•ARTICLE•Social Science Quarterly•2009•Cited by: 2•References: 23

    Objective. On the popular game show Who Wants to be a Millionaire men appear to average higher winnings than women. This article investigates potential reasons, including different uses of information sources (lifelines) and different perceptions of risk. Method. We analyzed the decisions and resultant winnings of 164 contestants (95 men and 69 women) over 42 episodes of the show. Results. Gender‐based tests of Kahneman and Tversky's prospect the…

  • A Tale of Two Seasons

    Open Access•Daniel K N Johnson, Ayfer Ali et al.•ARTICLE•Social Science Quarterly•2004•Cited by: 8•References: 3

    Objectives. This article examines all postwar Summer and Winter Olympic Games in order to investigate the economic and political determinants of participation and medal‐winning success. Methods. Using newly compiled data, regression analysis gives intuitive results with surprisingly accurate predictions beyond the historical sample. We also estimate the rise in income per capita required to send an extra participant, and the “cost” in GDP per cap…

  • How the West Has Won

    Open Access•Daniel K N Johnson, Amy Brown•ARTICLE•Economic Geography•2004•Cited by: 5•References: 45

    While it is clear that there has been a “regional inversion” in American patent activity over the past 25 years (i.e., relative rise of the Northwest and Southwest at the expense of the traditional invention hotbeds of the Northeast and Midwest), the reason is still open to speculation. Theory suggests that it can be explained by some combination of changing demographics and industrial composition. We introduce constant market share analysis, typ…

  • A Tale of Two Seasons

    Open Access•Daniel K N Johnson, Ayfer Ali et al.•ARTICLE•Social Science Quarterly•2004•Cited by: 8•References: 3

    Objectives. This article examines all postwar Summer and Winter Olympic Games in order to investigate the economic and political determinants of participation and medal‐winning success. Methods. Using newly compiled data, regression analysis gives intuitive results with surprisingly accurate predictions beyond the historical sample. We also estimate the rise in income per capita required to send an extra participant, and the “cost” in GDP per cap…

  • How the West Has Won

    Open Access•Daniel K N Johnson, Amy Brown•ARTICLE•Economic Geography•2004•Cited by: 5•References: 45

    While it is clear that there has been a “regional inversion” in American patent activity over the past 25 years (i.e., relative rise of the Northwest and Southwest at the expense of the traditional invention hotbeds of the Northeast and Midwest), the reason is still open to speculation. Theory suggests that it can be explained by some combination of changing demographics and industrial composition. We introduce constant market share analysis, typ…

  • Who Really Wants to be a Millionaire? Gender Differences in Game Show Contestant Behavior Under Risk

    Open Access•Daniel K N Johnson, Tracy R Gleason•ARTICLE•Social Science Quarterly•2009•Cited by: 2•References: 23

    Objective. On the popular game show Who Wants to be a Millionaire men appear to average higher winnings than women. This article investigates potential reasons, including different uses of information sources (lifelines) and different perceptions of risk. Method. We analyzed the decisions and resultant winnings of 164 contestants (95 men and 69 women) over 42 episodes of the show. Results. Gender‐based tests of Kahneman and Tversky's prospect the…

  • A Tale of Two Seasons

    Open Access•Daniel K N Johnson, Ayfer Ali et al.•ARTICLE•Social Science Quarterly•2004•Cited by: 8•References: 3

    Objectives. This article examines all postwar Summer and Winter Olympic Games in order to investigate the economic and political determinants of participation and medal‐winning success. Methods. Using newly compiled data, regression analysis gives intuitive results with surprisingly accurate predictions beyond the historical sample. We also estimate the rise in income per capita required to send an extra participant, and the “cost” in GDP per cap…

  • How the West Has Won

    Open Access•Daniel K N Johnson, Amy Brown•ARTICLE•Economic Geography•2004•Cited by: 5•References: 45

    While it is clear that there has been a “regional inversion” in American patent activity over the past 25 years (i.e., relative rise of the Northwest and Southwest at the expense of the traditional invention hotbeds of the Northeast and Midwest), the reason is still open to speculation. Theory suggests that it can be explained by some combination of changing demographics and industrial composition. We introduce constant market share analysis, typ…

  • Who Really Wants to be a Millionaire? Gender Differences in Game Show Contestant Behavior Under Risk

    Open Access•Daniel K N Johnson, Tracy R Gleason•ARTICLE•Social Science Quarterly•2009•Cited by: 2•References: 23

    Objective. On the popular game show Who Wants to be a Millionaire men appear to average higher winnings than women. This article investigates potential reasons, including different uses of information sources (lifelines) and different perceptions of risk. Method. We analyzed the decisions and resultant winnings of 164 contestants (95 men and 69 women) over 42 episodes of the show. Results. Gender‐based tests of Kahneman and Tversky's prospect the…

  • The Deadly Cost of Informal Lending

    Open Access•Daniel K N Johnson, Lakhwinder Singh et al.•ARTICLE•Millennial Asia•2023•References: 1

    The Indian state of Punjab, which initially benefited greatly from the green revolution, has suffered from a dramatic rise in agrarian suicides for several decades. We use a carefully constructed sample of over 1,000 farmers in the epicentre, and build a three-stage model of agricultural production decisions across multiple input and multiple output choices, indebtedness from multiple sources and suicide via an IPWRA (inverse probability weighted…

  • Black and Blue

    Open Access•Charlotte Schwebel, Daniel K N Johnson•ARTICLE•Journal of Economics Race and…•2025•References: 12

  • Gaslighting Ourselves

    Open Access•Daniel K N Johnson•ARTICLE•The Review of Black Political…•2025•References: 3

    Creating ethical, equitable and racially-just machine learning is currently impossible for six reasons, summarized by the acronym DO-GOOD : (1) data for training is historically racially biased, (2) ownership of data is disproportionately racially tilted, (3) guidelines /ethical algorithms have been largely lacking, especially in the space of racial equity, (4) opacity of algorithm design prevents testing for racial bias, and then improvement of …

Economics (5 works) · Geography (3 works) · Political science (3 works) · Sociology (3 works) · Demography (2 works) · Finance (2 works) · Law (2 works) · Macroeconomics (2 works) · Agrarian society (1 work) · Agricultural economics (1 work)

Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae