cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.3886/e103521
title: Data and Code for: Matching in the Large: An Experimental Study

description: We compare the performance of the Boston Immediate Acceptance (IA) and Gale--Shapley Deferred Acceptance (DA) mechanisms in a laboratory setting where we increase the number of participants per match. In our experiment, we first increase the number of students per match from 4 to 40; when we do so, participant truth-telling increases under DA but decreases under IA, leading to a decrease in efficiency under both mechanisms. Furthermore, we find that DA remains more stable than IA, regardless of scale. We then further increase the number of participants per match to 4,000 through the introduction of robots. When robots report their preferences truthfully, we find that scale has no effect on human best response behavior. By contrast, when we program the robots to draw their strategies from the distribution of empirical human strategies, we find that our increase in scale increases human ex-post best responses under both mechanisms.<br>
description: All sessions are conducted in Chinese at the Experiment Economics Laboratory and the Finance Simulation Laboratory at Beijing Normal University between June 2012 and May 2013. The subjects are students from Beijing Normal University and the Beijing University of Posts and Telecommunications. No subject participates more than once. We conduct 12 independent sessions for the all-human treatments and 320 independent observations for the human–robot treatments, with a total of 736 subjects. The exchange rate is 5 experiment points for 1 RMB for all sessions. Each subject also receives a participation fee of 5 RMB. The average earning (including participation fee) is 63.8 RMB.
description: College students in Beijing, China.
DOI: 10.3886/e103521v2
title: Data and Code for: Matching in the Large: An Experimental Study

description: We compare the performance of the Boston Immediate Acceptance (IA) and Gale--Shapley Deferred Acceptance (DA) mechanisms in a laboratory setting where we increase the number of participants per match. In our experiment, we first increase the number of students per match from 4 to 40; when we do so, participant truth-telling increases under DA but decreases under IA, leading to a decrease in efficiency under both mechanisms. Furthermore, we find that DA remains more stable than IA, regardless of scale. We then further increase the number of participants per match to 4,000 through the introduction of robots. When robots report their preferences truthfully, we find that scale has no effect on human best response behavior. By contrast, when we program the robots to draw their strategies from the distribution of empirical human strategies, we find that our increase in scale increases human ex-post best responses under both mechanisms.<br>
description: All sessions are conducted in Chinese at the Experiment Economics Laboratory and the Finance Simulation Laboratory at Beijing Normal University between June 2012 and May 2013. The subjects are students from Beijing Normal University and the Beijing University of Posts and Telecommunications. No subject participates more than once. We conduct 12 independent sessions for the all-human treatments and 320 independent observations for the human–robot treatments, with a total of 736 subjects. The exchange rate is 5 experiment points for 1 RMB for all sessions. Each subject also receives a participation fee of 5 RMB. The average earning (including participation fee) is 63.8 RMB.
description: College students in Beijing, China.
DOI: 10.3886/e101880v3-45280
title: Annual Survey of State Government Finances 1992-2018

description: Version 3 Release NotesAdds 2018 data.Renames some columns so all column names are &lt;= 32 characters to fix Stata limit.<br><br>Version 2 Release NotesAdds 2017 data. R and Stata files now available.<br><br>The .csv file includes data from the years 1992-2016. No data was changed. Only column names were changed to standardize it across years. Some columns (e.g. Population) that are not in all years are removed. Amounts are in thousands of dollars. <br>The zip file includes all raw (completely untouched, see code for how I downloaded it) files for years 1992-2016. <br><br>From the Census, "The Annual Survey of State Government Finances provides a comprehensive summary of the annual survey findings for state governments, as well as data for individual states. The tables contain detail of revenue by source, expenditure by object and function, indebtedness by term, and assets by purpose." (link to this quote is below)<br><br>All code to download and clean the data is here. https://github.com/jacobkap/government_finances<br><br>Information from the U.S. Census about the data is here. https://www.census.gov/programs-surveys/state/about.html<br><br><br><br>
description: Response Rates: All states have data for all years. In a few years, some values (e.g. expenditure liquor stores) are missing. Overall, almost compete data.<br>
description: State and national government<br>. Smallest Geographic Unit: State and national
DOI: 10.3886/e100785v1-45300
title: The Financial Burden of Cancer on Families in the United States

description: This study examined the relationship between a diagnosis of cancer and the likelihood of having any out of pocket costs (OOPC) and medical debt, and the amounts of OOPC and medical debt, at the household level. We used the 2011 Panel Study of Income Dynamics, an ongoing nationally representative panel survey that collects detailed socioeconomic and demographic data in the United States. The analytic sample included households where heads and their spouse (if married) were between 18 and 64 years old. Adjusted logistic regression models and generalized linear models with logarithmic link and a gamma distribution were used. Two models were used. Model 1 controlled for the gender, age, race, marital status, and education of the head of household, and household variables of the number of children in the household, the number of chronic health conditions for the head of household and spouse if married, and households where both the head and the spouse (if married) reported a diagnosis of cancer. Model 2 additionally controlled for home equity. Related to OOPC, both models showed that having a diagnosis of cancer increased a households likelihood of having any OOPC by 119% (p &lt; .01) compared to those that did not have a diagnosis of cancer. Additionally, for households with positive amounts of OOPC, it was found that a diagnosis of cancer increased the amount of OOPC by 24% (p &lt; .01) compared to households without a diagnosis of cancer. Related to medical debt, Model 1 showed that having a diagnosis of cancer increased a households likelihood of having any medical debt by 67% (p = .052) compared to those without a diagnosis of cancer. However, when including home equity in Model 2, having a diagnosis of cancer increased a households likelihood of having any medical debt by 78% (p &lt; .05) compared to those without a diagnosis of cancer. Further, a diagnosis of cancer increased the amount of medical debt similarly for Model 1 (101%) and Model 2 (102%) for households with positive amounts of medical debt compared to those without a diagnosis of cancer (p &lt; .05). All tests of significance were two-sided. This study shows that a diagnosis of cancer imposes a significant financial burden on families in the United States even after controlling for systematic differences between households with a diagnosis of cancer compared to those without a diagnosis of cancer. <br><br><br><br>
DOI: 10.3886/e121961
title: A Cross-Sectional Study on Oyo State Health Care Workers Knowledge, Attitude and Practice Regarding Corona Virus Disease 2019

description: Background: Health workers are at the front line of the COVID-19 outbreak response and as such are exposed to hazards that put them at risk of infection. Poor knowledge among HCWs and inadequate infection control practices may lead to the increased risk of COVID-19 nosocomial transmission. This study assessed the knowledge, attitude and practice of Oyo state health care workers on COVID-19 as part of emergency preparedness. Methods: A hospital based cross-sectional survey was conducted in selected health facilities in Oyo State, Nigeria. A total of 350 HCWs were assessed for the knowledge, attitudes and practices on COVID-19 using a semi-structured questionnaire. Multivariate analysis was conducted to identify predictors of good knowledge at 95% confidence interval. with Epi-info software. Results: The level of good knowledge on COVID-19 was 78.6% and positive attitude was 64% among the respondents. Majority of respondents practice safe measures in the prevention of COVID-19 including washing of hands (95.3%), routine cleaning (82.7%) and high-level disinfection (83.9%). However, use of personal protective equipment (PPE) was low (56.8%). Predictors of good knowledge on COVID-19 were being a female HCW [Adjusted Odd’s Ratio(AOR)= 6.5 95% CI 1.0-17.2], ≥10 years length in service[AOR= 5.2 95%CI 2.7-18.9] and being a secondary or tertiary facility[ AOR=3.6 95%CI 1.7-32.2]. Conclusions: Overall knowledge and attitude were satisfactory however the practices of HCWs on the use of personal protective equipment was not satisfactory. Effective infection control measures including regular skill-based training and/or orientation for all categories of HCWs can improve infection control practices in health facilities
DOI: 10.3886/e121961v1
title: A Cross-Sectional Study on Oyo State Health Care Workers Knowledge, Attitude and Practice Regarding Corona Virus Disease 2019

description: Background: Health workers are at the front line of the COVID-19 outbreak response and as such are exposed to hazards that put them at risk of infection. Poor knowledge among HCWs and inadequate infection control practices may lead to the increased risk of COVID-19 nosocomial transmission. This study assessed the knowledge, attitude and practice of Oyo state health care workers on COVID-19 as part of emergency preparedness. Methods: A hospital based cross-sectional survey was conducted in selected health facilities in Oyo State, Nigeria. A total of 350 HCWs were assessed for the knowledge, attitudes and practices on COVID-19 using a semi-structured questionnaire. Multivariate analysis was conducted to identify predictors of good knowledge at 95% confidence interval. with Epi-info software. Results: The level of good knowledge on COVID-19 was 78.6% and positive attitude was 64% among the respondents. Majority of respondents practice safe measures in the prevention of COVID-19 including washing of hands (95.3%), routine cleaning (82.7%) and high-level disinfection (83.9%). However, use of personal protective equipment (PPE) was low (56.8%). Predictors of good knowledge on COVID-19 were being a female HCW [Adjusted Odd’s Ratio(AOR)= 6.5 95% CI 1.0-17.2], ≥10 years length in service[AOR= 5.2 95%CI 2.7-18.9] and being a secondary or tertiary facility[ AOR=3.6 95%CI 1.7-32.2]. Conclusions: Overall knowledge and attitude were satisfactory however the practices of HCWs on the use of personal protective equipment was not satisfactory. Effective infection control measures including regular skill-based training and/or orientation for all categories of HCWs can improve infection control practices in health facilities
DOI: 10.3886/e114876v1-45342
title: Replication data for: Long-Term Impacts of Compensatory Preschool on Health and Behavior: Evidence from Head Start

description: This paper provides new estimates of the medium- and long-term impacts of Head Start on health and behavioral problems. We identify these impacts using discontinuities in the probability of participation induced by program eligibility rules. Our strategy allows us to identify the effect of Head Start for the individuals in the neighborhoods of multiple discontinuities. Participation in the program reduces the incidence of behavioral problems, health problems, and obesity of male children at ages 12 and 13. It lowers depression and obesity among adolescents, and it reduces engagement in criminal activities and idleness for young adults.
DOI: 10.3886/e122963
title: Patent Pools and COVID-19

description: Countries are still in the thick of fighting the COVID-19 health crisis and scientists and pharmaceutical companies are in the process of uncovering the molecular secrets of this novel coronavirus and developing potential vaccines, we need to revisit the issue of patent pools. During normal times in today's complex world, to produce certain goods and services, any manufacturer would have to obtain licenses to several interrelated patents, something that is known as the complements problem. Where there are many patents to obtain, this will complicate matters for innovation and indeed could lead to under use of technologies and heavy patent costs.<br><br>In order to simplify the process, patent pools can be created between patent owners that bundle multiple pieces of intellectual property together, rather than on a patent-by-patent basis, into a single license so that they can license their patents to other parties collectively. Patent pools thus reduce transaction costs for licensees and preserve the financial incentive for patent holders to commercialize their products. All this seems easy and straightforward—in an ideal world. In reality, however, patent pools can create anticompetitive practices. While patent pools can be pro-competitive, their anti-competitive effects arise in many ways.<br><br>In the U.S., there are the Antitrust Guidelines for the Licensing of Intellectual Property. The antirust guidelines recognize clearly the pro-competitive benefits and anti-competitive nature of patent pools. Therefore, the antitrust guidelines recognizes that the effects of patent pools will be vetted on a case-by-case basis. The focus of antitrust examination will be on the formation or structure of the patent pool and whether this formation impairs competition. Courts assess most antitrust practices under a "rule of reason," which requires them to estimate the defendant's market power and the impact of some practice that is claimed to be unreasonably collusive or exclusionary.<br>
description: Response Rates: The data will include analysis of statistics from the USPTO.
description: The collection will include data dating back to 2015 collected from the US Patent Office and other agencies.
description: In the U.S., there are the antitrust regulations for the Licensing of Intellectual Property. The antirust guidelines recognize clearly the procompetitive benefits and anticompetitive nature of patent pools. <br><br>In the European Union, there is the EC Technology Transfer Block Exemption Regulation and the Guidelines on Technology Transfer Agreements. The purpose of block exemption regulations is to provide a safe harbor for these agreements which meet the requirements of the regulation to be excluded from the application of Article 101(1) of the Treaty on the Functioning of the European Union.<br>. Smallest Geographic Unit: The United States, the EU
description: The statistics will cover the period from 2015-2021.
DOI: 10.3886/e122961
title: Post-Pandemic Global Economy

description: The purpose of the research is to examine the economic impact of COVID 19 on small and medium-sized enterprises in the short and long terms.
description: face-to-face interview; web-based survey;
description: The spread of Coronavirus in early 2020 posed many challenges for governments worldwide. Millions of people were affected, and thousands died. The world economy cannot significantly recover unless and until 1) testing is very widely available so businesses can rehire those who have already been infected and demonstrate immunities; and 2) there is an effective vaccine that can be made available to billions of people. The latter at least is probably a year off.. Smallest Geographic Unit: SMEs
description: Sampling will include data from the economic bureau.
DOI: 10.3886/e119541
title: Data and Code for: Improving Efficiency of On-Campus Housing: An Experimental Study

description: This paper investigates a class of matching problems—the assignment of indivisible items to agents where some agents have prior claims to some of the items. As a running example, we will refer to the indivisible items as houses. House allocation problems are not only of theoretical interest, but also of practical importance. A house allocation mechanism assigns a set of houses (or offices, tasks, etc.) to prospective tenants, allotting at most one house to each tenant. Rents are exogenously given and there is no medium of exchange, such as money. In general some houses will have existing tenants, some houses will be empty, and some applicants for housing will be new (e.g., freshmen). The canonical examples are assignment of college students to dormitory rooms and public housing units. Other examples are assignment of offices and tasks to individuals.
description: Laboratory experiments conducted at the University of Michigan.
description: undergraduate students at the University of Michigan.
description: 480 subjects
DOI: 10.3886/e119451v1-45380
title: National Neighborhood Data Archive (NaNDA): Socioeconomic Status and Demographic Characteristics of Census Tracts, United States, 2008-2017

description: This dataset contains measures of socioeconomic and demographic characteristics by US census tract for the years 2008-2017. Example measures include population density; population distribution by race, ethnicity, age, and income; and proportion of population living below the poverty level, receiving public assistance, and female-headed families. The dataset also contains a set of index variables to represent neighborhood disadvantage and affluence.
description: This dataset complements a similar version (National Neighborhood Data Archive [NaNDA]: Neighborhood Socioeconomic and Demographic Characteristics of Census Tracts, United States, 2000-2010, https://www.openicpsr.org/openicpsr/project/111107/) which is based on the same theoretical findings and covers the period 2000-2010. Users wanting to combine this dataset with measures from 2000-2010 should be aware of key differences between how measures are calculated across the two datasets. For more information, see the "Usage Note" section of the documentation.
description: All census tracts in the United States, including Puerto Rico. Smallest Geographic Unit: census tract
DOI: 10.3886/e119541v2
title: Data and Code for: Improving Efficiency of On-Campus Housing: An Experimental Study

description: This paper investigates a class of matching problems—the assignment of indivisible items to agents where some agents have prior claims to some of the items. As a running example, we will refer to the indivisible items as houses. House allocation problems are not only of theoretical interest, but also of practical importance. A house allocation mechanism assigns a set of houses (or offices, tasks, etc.) to prospective tenants, allotting at most one house to each tenant. Rents are exogenously given and there is no medium of exchange, such as money. In general some houses will have existing tenants, some houses will be empty, and some applicants for housing will be new (e.g., freshmen). The canonical examples are assignment of college students to dormitory rooms and public housing units. Other examples are assignment of offices and tasks to individuals.
description: Laboratory experiments conducted at the University of Michigan.
description: undergraduate students at the University of Michigan.
description: 480 subjects
DOI: 10.3886/e122962
title: The Use of Digital Books as the New Norm for Higher Education

description: Over the years, technology has changed many things in our lives, including the way how learning in higher education is conducted. The COVID-19 health crisis has confirmed the need to change beforehand so that when crisis hits higher education institutions, among others, they are ready. <br><br>In the future, traditional textbooks could be thing of the past. From past experience, it is evident that reading assignments based on traditional textbooks are rarely ever completed and indeed they are burdensome to students. Generations differ from one to another. At one point in time when for a particular generation when traditional textbooks were the norm here comes a new generation where digital books and videobooks are the new norm. Higher education institutions have to realize the new reality. <br><br>Digital books and videobooks can be used to support and perhaps over time replace the use of traditional textbooks. There are many factors that make the use of digital books and videobooks attractive. These books are easily accessible, readable, and searchable. Students can access and use videobooks at their convenience from any mobile device at anytime. Flipped classroom, a type of blended learning, provides rich environment to enhance the use of digital books and videobooks. Before coming to class, students read assignments in a digital book and then watch videobooks explaining the main concepts. The professor can supplement the role of these books by expanding the discussion in the classroom. <br><br>Although their use can vary depending on discipline, digital books and videobooks are here stay. Digital books and videobooks are more convenient to use and could lead to a much needed efficiency for universities, professors, and students alike. These types of new books provide opportunities like never before.
description: All scales had high reliabilities with Cronbach alphas ranging from 0.83 to 0.94
description: Response Rates: A total of 600 students is estimated to participate in the survey.
description: Presence of Common Scales: The survey will include open-ended questions on a 5-point Likert scale.
description: web-based survey; The questions will be based on 5-point Likert-type questions used to assess students’ perceptions of the digital books and videobooks as compared to a traditional textbook.
description: Data will be collected from several sections of several law courses in the law school. An online survey will be submitted and passed to students. The survey will be given to students at the end of the semester to ensure that students have full exposure to the online learning experience using digital books and videobooks. . Smallest Geographic Unit: students in second year law school in west cost law school
description: The sample will include several sections of law courses taken during the academic year.