100+ datasets found
  1. o

    Data from: The Contagion of Neurologic Immersion Predicts Retail Purchases

    • openicpsr.org
    Updated May 25, 2024
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    Paul Zak (2024). The Contagion of Neurologic Immersion Predicts Retail Purchases [Dataset]. http://doi.org/10.3886/E203881V1
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    Dataset updated
    May 25, 2024
    Dataset provided by
    Claremont Graduate University
    Authors
    Paul Zak
    License

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

    Description

    Consumers increasingly demand extraordinary experiences and businesses want to provide such experiences to build loyalty and increase customer lifetime value. One of the most significant aspects of consumer experiences is employee-customer interactions. We hypothesized that the value of customers' experiences would be reflected in the neurophysiology of sales associates and that these data would predict eventual purchases. We tested this hypothesis by measuring neurologic Immersion of sales associates serving customers (N=49) in a field study in two luxury retail stores with actual customers. A synthetic dataset was generated from these data and showed that sales associates' peak Immersion was positively associated with the time customers spent shopping, which, in turn, positively scaled with how much customers spent. Estimating a machine learning model using sales associates' peak Immersion predicted which customers purchased with between 64% and 80% accuracy. Our results demonstrate that the neurophysiologic Immersion of one person can be used to predict the behavior of another person with whom they are interacting even when their goals may not be perfectly aligned. Moreover, we have shown that such a field study is feasible with real customers who are spending nontrivial amounts of money (M=$323, range: $0-$2,734). More generally, measuring the contagion of Immersion from one side of an interaction may be an effective way to assess and improve the quality of social engagements of many types.

  2. o

    Baby's First Years Supplemental Files

    • openicpsr.org
    Updated Jan 13, 2022
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    Katherine Magnuson; Kimberly Noble; Greg Duncan; Nathan Fox; Lisa Gennetian; Hirokazu Yoshikawa; Sarah Halpern-Meekin (2022). Baby's First Years Supplemental Files [Dataset]. http://doi.org/10.3886/E159422V6
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    Dataset updated
    Jan 13, 2022
    Dataset provided by
    University of Wisconsin
    University of Maryland
    University of California-Irvine
    Duke University
    Teachers College, Columbia University
    New York University
    Authors
    Katherine Magnuson; Kimberly Noble; Greg Duncan; Nathan Fox; Lisa Gennetian; Hirokazu Yoshikawa; Sarah Halpern-Meekin
    License

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

    Description

    This OPENICPSR site contains data deposits for manuscripts published from the Baby's First Years study. More information on Baby's First Years can be found at: https://www.icpsr.umich.edu/web/ICPSR/studies/37871#

  3. o

    National Neighborhood Data Archive (NaNDA): Health Care Services by Census...

    • openicpsr.org
    Updated Feb 25, 2020
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    Anam Khan; Mao Li; Jessica Finlay; Michael Esposito; Iris Gomez-Lopez; Philippa Clarke; Megan Chenoweth (2020). National Neighborhood Data Archive (NaNDA): Health Care Services by Census Tract, United States, 2003-2017 [Dataset]. http://doi.org/10.3886/E120907V2
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    Dataset updated
    Feb 25, 2020
    Dataset provided by
    University of Michigan. Institute for Social Research
    Authors
    Anam Khan; Mao Li; Jessica Finlay; Michael Esposito; Iris Gomez-Lopez; Philippa Clarke; Megan Chenoweth
    License

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

    Area covered
    United States
    Description

    This dataset describes the number and density of health care services in each census tract in the United States. The data includes counts, per capita densities, and area densities per tract for many types of businesses in the health care sector, including doctors, dentists, mental health providers, hospitals, nursing homes, and pharmacies.

  4. o

    Data from: Career and Technical Education Alignment Across Five States

    • openicpsr.org
    Updated Jul 17, 2024
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    Celeste Carruthers; Shaun Dougherty; Daniel Kreisman; Thomas Goldring; Roddy Theobald; Carly Urban; Jesus Villero (2024). Career and Technical Education Alignment Across Five States [Dataset]. http://doi.org/10.3886/E208007V2
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    Dataset updated
    Jul 17, 2024
    Dataset provided by
    University of Tennessee
    Montana State University
    University of Pennsylvania. The Wharton School
    Boston College
    American Institutes for Research
    Georgia State University
    Authors
    Celeste Carruthers; Shaun Dougherty; Daniel Kreisman; Thomas Goldring; Roddy Theobald; Carly Urban; Jesus Villero
    License

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

    Area covered
    Tennessee, Montana, Washington, Massachusetts, Michigan
    Description

    We describe alignment between high school career and technical education (CTE) and local labor markets across five states—Massachusetts, Michigan, Montana, Tennessee, and Washington. We find that CTE is partially aligned with local labor markets. A 10-percentage-point higher share of local jobs related to a CTE career cluster is associated with a 3-point higher rate of CTE concentration in that cluster. Women and students from racial or ethnic minority groups are better aligned with local employment than men, in part due to their selection of CTE fields like Education & Training, Health Science, and Hospitality & Tourism, which correspond with a large portion of the workforce in almost every metro area. We find more limited evidence of dynamic, short-term adjustments in CTE after changes in local labor markets. A small degree of realignment lags the labor market by two-to-three years and is only observed following changes in college-level employment.

  5. o

    covid-19 data sharing

    • openicpsr.org
    Updated Jan 12, 2021
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    Giuseppe Lauria (2021). covid-19 data sharing [Dataset]. http://doi.org/10.3886/E130561V1
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    Dataset updated
    Jan 12, 2021
    Dataset provided by
    Fondazione IRCCS Istituto Neurologico Carlo Besta
    Authors
    Giuseppe Lauria
    License

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

    Description

    Prospective cohort hospital-based study on 539 individuals suspected to carry SARS-COV-2

  6. o

    Data for "Children and the Remaining Gender Gaps in the Labor Market"

    • openicpsr.org
    Updated Mar 15, 2022
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    Jessica Pan; Patricia Cortes (2022). Data for "Children and the Remaining Gender Gaps in the Labor Market" [Dataset]. http://doi.org/10.3886/E165101V1
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    Dataset updated
    Mar 15, 2022
    Dataset provided by
    Boston University
    National University of Singapore
    Authors
    Jessica Pan; Patricia Cortes
    Description

    The past five decades have seen a remarkable convergence in the economic roles of men and women in society. Yet, persistently large gender gaps in terms of labor supply, earnings, and representation in top jobs remain. Moreover, in countries like the U.S., convergence in labor market outcomes appears to have slowed in recent decades. In this article, we focus on the role of children and show that many potential explanations for the remaining gender disparities in labor market outcomes are related to the fact that children impose significantly larger penalties on the career trajectories of women relative to men. In the U.S., we document that more than two-thirds of the overall gender earnings gap can be accounted for by the differential impacts of children on women and men. We propose a simple model of household decision-making to motivate the link between children and gender gaps in the labor market, and to help rationalize how various factors potentially interact with parenthood to produce differential outcomes by gender. We discuss several forces that might make the road to gender equity even more challenging for modern cohorts of parents, and offer a critical discussion of public policies that seek to address the remaining gaps.

  7. o

    Dataset B-Schools Business Library

    • openicpsr.org
    Updated Jun 30, 2022
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    Shirish Raibagkar (2022). Dataset B-Schools Business Library [Dataset]. http://doi.org/10.3886/E174101V1
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    Dataset updated
    Jun 30, 2022
    Dataset provided by
    Self
    Authors
    Shirish Raibagkar
    License

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

    Description

    this is a data-set of 462 respondents (finance faculty) from Indian B-schools

  8. o

    Data from: An AI-based intervention for improving undergraduate STEM...

    • openicpsr.org
    delimited
    Updated Feb 8, 2023
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    Mohammad Hasan (2023). An AI-based intervention for improving undergraduate STEM learning [Dataset]. http://doi.org/10.3886/E184642V1
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    delimitedAvailable download formats
    Dataset updated
    Feb 8, 2023
    Dataset provided by
    University of Nebraska-Lincoln
    Authors
    Mohammad Hasan
    License

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

    Description

    We present results from a small-scale randomized controlled trial that evaluates the impact of just-in-time interventions on the academic experiences and outcomes of N=65 undergraduate students in a STEM course. Intervention messaging content was based on machine learning forecasting models of data collected from 427 students in the same course over the preceding 3 years. Trial results show that the intervention produced a statistically significant increase in the proportion of students that achieved a passing grade. The outcomes point to the potential and promise of just-in-time interventions for STEM learning and the need for larger fully-powered randomized controlled trials.

  9. o

    Measuring public opinion about autonomous vehicles using data from Reddit,...

    • openicpsr.org
    delimited, zip
    Updated Dec 19, 2020
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    Kaiping Chen; David Tomblin (2020). Measuring public opinion about autonomous vehicles using data from Reddit, Public Deliberation, and Surveys [Dataset]. http://doi.org/10.3886/E129341V1
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    zip, delimitedAvailable download formats
    Dataset updated
    Dec 19, 2020
    Dataset provided by
    University of Maryland-College Park
    University of Wisconsin-Madison
    Authors
    Kaiping Chen; David Tomblin
    License

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

    Description

    Replication datasets and R script for the forthcoming publication, entitled "Measuring public opinion about autonomous vehicles using data from Reddit, Public Deliberation, and Surveys", in Public Opinion Quarterly, Special Issue on New Data in Social and Behavioral Research.

  10. o

    Data from: Governments' Responses to COVID-19 (Response2covid19)

    • openicpsr.org
    Updated Apr 28, 2022
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    Simon Porcher (2022). Governments' Responses to COVID-19 (Response2covid19) [Dataset]. http://doi.org/10.3886/E119061V7
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    Dataset updated
    Apr 28, 2022
    Dataset provided by
    IAE Paris - Université Paris I Panthéon-Sorbonne
    Authors
    Simon Porcher
    License

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

    Time period covered
    Jan 1, 2020 - Jun 1, 2021
    Area covered
    World
    Description

    The Response2covid19 dataset tracks governments’ responses to COVID-19 all around the world. The dataset is at the country-level and covers the January 2020 - June 2021 period; it is updated on a monthly basis. It tracks 20 measures – 13 public health measures and 7 economic measures – taken by 228 governments. The tracking of the measures allows creating an index of the rigidity of public health measures and an index of economic response to the pandemic. The objective of the dataset is both to inform citizens and to help researchers and governments in fighting the pandemic.The dataset can be downloaded and used freely. Please properly cite the name of the dataset (“Response2covid19”) and the reference: Porcher, Simon "Response2covid19, a dataset of governments' responses to COVID-19 all around the world", Scientific Data, 7, 423, 2020. https://doi.org/10.1038/s41597-020-00757-y" title="Link: https://doi.org/10.1038/s41597-020-00757-y">https://doi.org/10.1038/s41597-020-00757-y

  11. o

    Data from: Drag Artist Interviews, 2020

    • openicpsr.org
    Updated Mar 2, 2021
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    Destiny Baxter; Ezra Temko; Adam Loesch (2021). Drag Artist Interviews, 2020 [Dataset]. http://doi.org/10.3886/E133901V2
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    Dataset updated
    Mar 2, 2021
    Dataset provided by
    Southern Illinois University Edwardsville
    Authors
    Destiny Baxter; Ezra Temko; Adam Loesch
    License

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

    Area covered
    Canada, United States
    Description

    This public dataset contains transcripts of 8 in-depth semistructured interviews with drag artists. Student Destiny Baxter conducted these interviews during Spring 2020. These interviews use the same instrument as a set of 22 interviews with drag artists conducted in Spring 2019, also available via ICPSR at https://www.openicpsr.org/openicpsr/project/118483/.2020 dataset (Drag artist name, interview date, drag artist's location):Amoura Teese, April 13, San Francisco, CABella Noche, February 12, New York, NYDie Anna, February 12, Los Angeles, CAGigi Gemini, February 12, Las Vegas, NVMick Douch, February 18, Chicago, ILTomahawk Martini, April 16, Albuquerque, NMTwinkie LaRue, February 23, Toronto, OntarioWendy Warhol, April 28, Montreal, Quebec

  12. o

    Replication files for "The Great Recession's Baby-less Recovery: The Role of...

    • openicpsr.org
    Updated May 6, 2022
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    Kasey Buckles; Melanie Guldi; Lucie Schmidt (2022). Replication files for "The Great Recession's Baby-less Recovery: The Role of Unintended Births" [Dataset]. http://doi.org/10.3886/E169882V1
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    Dataset updated
    May 6, 2022
    Dataset provided by
    University of Notre Dame
    University of Central Florida
    Smith College
    Authors
    Kasey Buckles; Melanie Guldi; Lucie Schmidt
    License

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

    Time period covered
    1989 - 2019
    Area covered
    United States
    Description

    Data and replication files for:Buckles, Kasey, Melanie Guldi, and Lucie Schmidt. and Elizabeth L. Munnich. "The Great Recession's Baby-less Recovery: The Role of Unintended Births." Journal of Human Resources, forthcoming.

  13. o

    Data and Code for: Droughts Worsen Air Quality and Health by Shifting Power...

    • openicpsr.org
    Updated Jan 30, 2025
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    Mathilda Eriksson; Alejandro del Valle; Alejandro de la Fuente (2025). Data and Code for: Droughts Worsen Air Quality and Health by Shifting Power Generation [Dataset]. http://doi.org/10.3886/E217201V1
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    Dataset updated
    Jan 30, 2025
    Dataset provided by
    World Bank
    Georgia State University
    Authors
    Mathilda Eriksson; Alejandro del Valle; Alejandro de la Fuente
    License

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

    Time period covered
    2000 - 2020
    Area covered
    Latin America and the Caribbean
    Description

    Fine particulate matter (PM2.5) is a leading environmental cause of mortality. Droughts can worsen air quality in regions that rely on hydropower by shifting energy production to combustion power plants. This study quantifies drought-induced excess PM2.5 in Latin America and the Caribbean, where over 443 million people live within 50 km of a combustion power plant. Leveraging a monthly plant-level panel spanning 20 years, we link hydrological droughts, measured as negative runoff anomalies in hydropower watersheds, to changes in PM2.5 concentrations near combustion power plants. Our analysis reveals that these droughts lead to an average increase of 0.83 μg m-3 in PM2.5 levels. Counterfactual simulations for the region reveal that this excess PM2.5 results in up to 10,000 premature deaths annually. Combining our estimates with climate, demographic, and combustion power plant phase-out projections, we demonstrate that this health burden will persist over the next four decades without targeted interventions.

  14. o

    Real-Time Population Survey

    • openicpsr.org
    delimited
    Updated Dec 21, 2021
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    Alexander Bick; Adam Blandin; Karel Mertens (2021). Real-Time Population Survey [Dataset]. http://doi.org/10.3886/E158081V7
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    delimitedAvailable download formats
    Dataset updated
    Dec 21, 2021
    Dataset provided by
    Virginia Commonwealth University
    Federal Reserve Bank of St. Louis. Research Division
    Federal Reserve Bank of Dallas
    Authors
    Alexander Bick; Adam Blandin; Karel Mertens
    License

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

    Time period covered
    Apr 2020 - Jun 2024
    Area covered
    United States of America
    Description

    The Real-Time Population Survey (RPS) is a national labor market survey of US adults aged 18-64 following the core questionnaire of the Current Population Survey (CPS), supplemented with additional questions (e.g., about commuting behavior and employer tenure). Separate waves of the survey were conducted each month between April 2020 and June 2021. Since then the RPS has been run two to three times per year.

  15. o

    COVID-19 Critical Policy Analsysis

    • openicpsr.org
    Updated Feb 14, 2021
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    Demetri Morgan (2021). COVID-19 Critical Policy Analsysis [Dataset]. http://doi.org/10.3886/E132401V1
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    Dataset updated
    Feb 14, 2021
    Dataset provided by
    Loyola University Chicago
    Authors
    Demetri Morgan
    License

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

    Description

    Curated dataset of COVID-19 pandemic policies and communications in the state of Illinois.

  16. o

    Data and Code for: Inside the Box: Safety, Health, and Isolation in Prison

    • openicpsr.org
    delimited
    Updated Aug 19, 2021
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    Bruce Western (2021). Data and Code for: Inside the Box: Safety, Health, and Isolation in Prison [Dataset]. http://doi.org/10.3886/E147843V1
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    delimitedAvailable download formats
    Dataset updated
    Aug 19, 2021
    Dataset provided by
    American Economic Association
    Authors
    Bruce Western
    Description

    This project includes the data appendix, and the replication data and code for the paper "Inside the Box: Safety, Health, and Isolation in Prison." The appendix, a readme file, code, and data are included in a zip file.

  17. o

    Scientific Data Reuse Survey

    • openicpsr.org
    delimited
    Updated Jan 26, 2017
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    Youngseek Kim (2017). Scientific Data Reuse Survey [Dataset]. http://doi.org/10.3886/E100404V1
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    delimitedAvailable download formats
    Dataset updated
    Jan 26, 2017
    Dataset provided by
    University of Kentucky
    Authors
    Youngseek Kim
    License

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

    Area covered
    United States
    Description

    This study explores the factors that influence the data reuse behaviors of scientists and identifies the generalized patterns that occur in data reuse across various disciplines. An online survey was distributed to the scientists through Qualtrics. The initial email invitation to the survey was sent to 15,703 scientists within academic institutions on October 5, 2015, with a reminder sent on November 10, 2015. The survey closed on November 30, 2015. 1,987 email messages (12.65%) were returned and a total of 13,716 participants (87.35%) received the email invitation to participate in the survey. This research used the National Science Foundation (NSF) STEM discipline codes (2014) for the respondents to indicate their specific academic disciplines based on their current research activities. Of these participants, 1,528 scientists from 94 specific disciplines (as categorized by NSF STEM discipline codes (2014)), completed the survey with less than 5% of missing values (response rate: 11.14%).Reference:NSF. (2014, February 9). Crosswalk of NSF Discipline Codes to CASPAR Academic Discipline Codes. Retrieved from https://ncsesdata.nsf.gov/nsf/srs/webcasp/data/gradstud.htm

  18. o

    Data from: CONTINUOUS REMOTE MONITORING OF NEUROPHYSIOLOGIC IMMERSION...

    • openicpsr.org
    Updated Jan 18, 2024
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    Paul Zak (2024). CONTINUOUS REMOTE MONITORING OF NEUROPHYSIOLOGIC IMMERSION ACCURATELY PREDICTS MOOD [Dataset]. http://doi.org/10.3886/E197830V1
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    Dataset updated
    Jan 18, 2024
    Dataset provided by
    Claremont Graduate University
    Authors
    Paul Zak
    License

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

    Description

    Mental health professionals have relied primarily on clinical evaluations to identify in vivo pathology. As a result, mentalhealth is largely reactive rather than proactive. In an effort to proactively assess mood, we collected continuous neurophysiologicdata for ambulatory individuals 8-10 hours a day at 1Hz for 3 weeks (N=24). Data were obtained using a commercial neuroscience platform (Immersion Neuroscience) that quantifies the neural value of social-emotional experiences. These data were related to self-reported mood and energy to assess their predictive accuracy. Statistical analyses identifiedneurophysiologic troughs by the length and depth of social-emotional events with low value and neurophysiologic peaks as thecomplement. Participants in the study had an average of2.25 (SD = 3.70, Min = 0, Max = 25) neurophysiologic troughs per day and 3.28 (SD = 3.97, Min= 0, Max = 25) peaks. The number of troughs and peaks predicted daily mood with 90% accuracy using least squares regressions and machine learning models. The analysis also showed that men were more prone to low mood compared to women. Our approach indicates that a simple count variable derived from a commercially-available technology may be aviable way to assess low mood and low energy in populations vulnerable to mood disorders. In addition, peak Immersion events, which are mood-enhancing, may be an effective measure of thriving in adults.

  19. o

    Data and Code for: What Do Survey Data Tell Us about US Businesses?

    • openicpsr.org
    • oar-rao.bank-banque-canada.ca
    delimited, stata
    Updated Nov 23, 2020
    + more versions
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    Anmol Bhandari; Serdar Birinci; Ellen R. McGrattan; Kurt See (2020). Data and Code for: What Do Survey Data Tell Us about US Businesses? [Dataset]. https://www.openicpsr.org/openicpsr/project/117021
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    delimited, stataAvailable download formats
    Dataset updated
    Nov 23, 2020
    Dataset provided by
    American Economic Association
    Authors
    Anmol Bhandari; Serdar Birinci; Ellen R. McGrattan; Kurt See
    License

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

    Time period covered
    1988 - 2016
    Area covered
    United States
    Dataset funded by
    National Science Foundation
    Heller Hurwicz Economics Institute
    Description

    This paper examines the reliability of survey data on business incomes, valuations, and rates of return, which are key inputs for studies of wealth inequality and entrepreneurial choice. We compare survey responses of business owners with available data from administrative tax records, brokered private business sales, and publicly traded company filings and document problems due to nonrepresentative samples and measurement errors across several surveys, subsamples, and years. We find that the discrepancies are economically relevant for the statistics of interest. We investigate reasons for these discrepancies and propose corrections for future survey designs.

  20. o

    COVID-19 Coping Study

    • openicpsr.org
    delimited
    Updated Jan 28, 2021
    + more versions
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    Lindsay Kobayashi; Jessica Finlay (2021). COVID-19 Coping Study [Dataset]. http://doi.org/10.3886/E131022V1
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    delimitedAvailable download formats
    Dataset updated
    Jan 28, 2021
    Dataset provided by
    University of Michigan. School of Public Health
    University of Michigan. Institute for Social Research
    Authors
    Lindsay Kobayashi; Jessica Finlay
    License

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

    Area covered
    the District of Columbia, and Puerto Rico, All 50 US states
    Description

    The COVID-19 Coping Study is a national, longitudinal cohort study of 6,938 US adults aged ≥55 enrolled from April 2nd through May 31st, 2020 in all 50 US states, the District of Columbia, and Puerto Rico. Participants were recruited through a non-probability multi-frame sampling strategy, and completed data collection through online questionnaires administered via the University of Michigan Qualtrics in English (N=6,886) and Spanish (N=52). Data were collected on a variety of demographic, social, and health-related topics including COVID-19 symptom and testing history, COVID-19-related stressors and worries, self-isolation and social distancing practices, behavior changes and coping mechanisms, mental health symptom scales, and living arrangements. A sub-set of the baseline sample (N=4,401) were sent monthly follow-up questionnaires over the following 12 months. The included files contain baseline through 6-month of follow-up data from the COVID-19 Coping Study. Data are available in Stata (C19CS.dta), a CSV file with value labels (C19CS Labelled.csv), and a CSV file with numeric values (C19CS Numeric.csv).

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Paul Zak (2024). The Contagion of Neurologic Immersion Predicts Retail Purchases [Dataset]. http://doi.org/10.3886/E203881V1

Data from: The Contagion of Neurologic Immersion Predicts Retail Purchases

Related Article
Explore at:
Dataset updated
May 25, 2024
Dataset provided by
Claremont Graduate University
Authors
Paul Zak
License

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

Description

Consumers increasingly demand extraordinary experiences and businesses want to provide such experiences to build loyalty and increase customer lifetime value. One of the most significant aspects of consumer experiences is employee-customer interactions. We hypothesized that the value of customers' experiences would be reflected in the neurophysiology of sales associates and that these data would predict eventual purchases. We tested this hypothesis by measuring neurologic Immersion of sales associates serving customers (N=49) in a field study in two luxury retail stores with actual customers. A synthetic dataset was generated from these data and showed that sales associates' peak Immersion was positively associated with the time customers spent shopping, which, in turn, positively scaled with how much customers spent. Estimating a machine learning model using sales associates' peak Immersion predicted which customers purchased with between 64% and 80% accuracy. Our results demonstrate that the neurophysiologic Immersion of one person can be used to predict the behavior of another person with whom they are interacting even when their goals may not be perfectly aligned. Moreover, we have shown that such a field study is feasible with real customers who are spending nontrivial amounts of money (M=$323, range: $0-$2,734). More generally, measuring the contagion of Immersion from one side of an interaction may be an effective way to assess and improve the quality of social engagements of many types.

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