cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.3886/e126781
title: Project Positive Attitudes Towards Health

description: Project Positive Attitudes Towards Health (PATH) was a survey conducted as a part of a larger study, “Empirical Assessment of Respondent Driven Sampling from Total Survey Error Perspectives,” supported by the National Science Foundation (Award Number: SES-1461470, PI: Sunghee Lee). The larger study aims to examine operational as well as inferential properties of respondent driven sampling (RDS). The Project PATH was an application of RDS specific to the in-person environment targeting persons who inject drugs (PWID), a group associated with illicit and stigmatized behaviors and, hence, difficult to recruit in Southeast Michigan, which included Wayne, Oakland, Macomb and St. Clair counties. <br>The Project PATH started in May 2017 and continued until the first week of November 2017 with a total sample size of 410 for the main survey. Questions in the main survey were largely adopted from the NHBS and the National Survey on Drug Use and Health conducted by the U.S. Substance Abuse and Mental Health Services Administration and covered topics such as general health, mental health, illicit drug use, health risk behaviors, sexually transmitted diseases, HIV, sexual orientation, health care service utilization and as well as socio-demographics. Questions specific to the interest of the local stakeholders were developed; these included topics related to Hepatitis A and access to naloxone. <br>
description: See user guide for instruction.
description: audio computer-assisted self interview (ACASI); computer-assisted personal interview (CAPI); face-to-face interview; telephone interview;
description: Injection drug users in Southeast Michigan.
description: Respondent driven sampling
DOI: 10.3886/e126781v1
title: Project Positive Attitudes Towards Health

description: Project Positive Attitudes Towards Health (PATH) was a survey conducted as a part of a larger study, “Empirical Assessment of Respondent Driven Sampling from Total Survey Error Perspectives,” supported by the National Science Foundation (Award Number: SES-1461470, PI: Sunghee Lee). The larger study aims to examine operational as well as inferential properties of respondent driven sampling (RDS). The Project PATH was an application of RDS specific to the in-person environment targeting persons who inject drugs (PWID), a group associated with illicit and stigmatized behaviors and, hence, difficult to recruit in Southeast Michigan, which included Wayne, Oakland, Macomb and St. Clair counties. <br>The Project PATH started in May 2017 and continued until the first week of November 2017 with a total sample size of 410 for the main survey. Questions in the main survey were largely adopted from the NHBS and the National Survey on Drug Use and Health conducted by the U.S. Substance Abuse and Mental Health Services Administration and covered topics such as general health, mental health, illicit drug use, health risk behaviors, sexually transmitted diseases, HIV, sexual orientation, health care service utilization and as well as socio-demographics. Questions specific to the interest of the local stakeholders were developed; these included topics related to Hepatitis A and access to naloxone. <br>
description: See user guide for instruction.
description: audio computer-assisted self interview (ACASI); computer-assisted personal interview (CAPI); face-to-face interview; telephone interview;
description: Injection drug users in Southeast Michigan.
description: Respondent driven sampling
DOI: 10.3886/e124681v5-69980
title: Supplementary materials for report “Shining a Brighter Light: Comprehensive Evidence on Adoption and Diffusion of CGIAR-Related Innovations in Ethiopia”

description: The report presents an unprecedented stocktaking of all CGIAR-related innovations in a given country as well as new estimates of adoption of those innovations from a nationally representative dataset generated through a partnership among the Ethiopian Central Statistics Agency (CSA), the World Bank Living Standards Measurement Study (LSMS) team, and the CGIAR Standing Panel on Impact Assessment (SPIA). Ethiopia was chosen for this exercise because it is a hotspot of CGIAR research, with almost all the CGIAR centers represented in Addis Ababa. <br> <br>The report documents the reach of CGIAR-related agricultural innovations in a comprehensive manner across the core domains of CGIAR research activity: animal agriculture; crop germplasm improvement; natural resource management; and policy research. In order to identify the right innovations to collect data on, SPIA conducted more than 90 interviews with CGIAR research leaders, scientists, government officials, and colleagues from the Ethiopian Institute for Agricultural Research (EIAR), all the while compiling documented evidence to support claims made by these key informants. The output of that work is a stocktaking of 52 agricultural innovations and 26 claims of policy influence.<br><br>Quantitative evidence on the adoption of 18 of these innovations was obtained through the incorporation of measurements of the reach of these innovations in the Ethiopian Socioeconomic Survey (ESS), a regionally and nationally representative panel survey of households. We report some data from the third wave (ESS3, carried out in 2015/16), but our major focus is on ESS4 (2018/19).
DOI: 10.3886/e124681v5-69981
title: Supplementary materials for report “Shining a Brighter Light: Comprehensive Evidence on Adoption and Diffusion of CGIAR-Related Innovations in Ethiopia”

description: The report presents an unprecedented stocktaking of all CGIAR-related innovations in a given country as well as new estimates of adoption of those innovations from a nationally representative dataset generated through a partnership among the Ethiopian Central Statistics Agency (CSA), the World Bank Living Standards Measurement Study (LSMS) team, and the CGIAR Standing Panel on Impact Assessment (SPIA). Ethiopia was chosen for this exercise because it is a hotspot of CGIAR research, with almost all the CGIAR centers represented in Addis Ababa. <br> <br>The report documents the reach of CGIAR-related agricultural innovations in a comprehensive manner across the core domains of CGIAR research activity: animal agriculture; crop germplasm improvement; natural resource management; and policy research. In order to identify the right innovations to collect data on, SPIA conducted more than 90 interviews with CGIAR research leaders, scientists, government officials, and colleagues from the Ethiopian Institute for Agricultural Research (EIAR), all the while compiling documented evidence to support claims made by these key informants. The output of that work is a stocktaking of 52 agricultural innovations and 26 claims of policy influence.<br><br>Quantitative evidence on the adoption of 18 of these innovations was obtained through the incorporation of measurements of the reach of these innovations in the Ethiopian Socioeconomic Survey (ESS), a regionally and nationally representative panel survey of households. We report some data from the third wave (ESS3, carried out in 2015/16), but our major focus is on ESS4 (2018/19).
DOI: 10.3886/e124681v5-69982
title: Supplementary materials for report “Shining a Brighter Light: Comprehensive Evidence on Adoption and Diffusion of CGIAR-Related Innovations in Ethiopia”

description: The report presents an unprecedented stocktaking of all CGIAR-related innovations in a given country as well as new estimates of adoption of those innovations from a nationally representative dataset generated through a partnership among the Ethiopian Central Statistics Agency (CSA), the World Bank Living Standards Measurement Study (LSMS) team, and the CGIAR Standing Panel on Impact Assessment (SPIA). Ethiopia was chosen for this exercise because it is a hotspot of CGIAR research, with almost all the CGIAR centers represented in Addis Ababa. <br> <br>The report documents the reach of CGIAR-related agricultural innovations in a comprehensive manner across the core domains of CGIAR research activity: animal agriculture; crop germplasm improvement; natural resource management; and policy research. In order to identify the right innovations to collect data on, SPIA conducted more than 90 interviews with CGIAR research leaders, scientists, government officials, and colleagues from the Ethiopian Institute for Agricultural Research (EIAR), all the while compiling documented evidence to support claims made by these key informants. The output of that work is a stocktaking of 52 agricultural innovations and 26 claims of policy influence.<br><br>Quantitative evidence on the adoption of 18 of these innovations was obtained through the incorporation of measurements of the reach of these innovations in the Ethiopian Socioeconomic Survey (ESS), a regionally and nationally representative panel survey of households. We report some data from the third wave (ESS3, carried out in 2015/16), but our major focus is on ESS4 (2018/19).
DOI: 10.3886/e124681v5-69983
title: Supplementary materials for report “Shining a Brighter Light: Comprehensive Evidence on Adoption and Diffusion of CGIAR-Related Innovations in Ethiopia”

description: The report presents an unprecedented stocktaking of all CGIAR-related innovations in a given country as well as new estimates of adoption of those innovations from a nationally representative dataset generated through a partnership among the Ethiopian Central Statistics Agency (CSA), the World Bank Living Standards Measurement Study (LSMS) team, and the CGIAR Standing Panel on Impact Assessment (SPIA). Ethiopia was chosen for this exercise because it is a hotspot of CGIAR research, with almost all the CGIAR centers represented in Addis Ababa. <br> <br>The report documents the reach of CGIAR-related agricultural innovations in a comprehensive manner across the core domains of CGIAR research activity: animal agriculture; crop germplasm improvement; natural resource management; and policy research. In order to identify the right innovations to collect data on, SPIA conducted more than 90 interviews with CGIAR research leaders, scientists, government officials, and colleagues from the Ethiopian Institute for Agricultural Research (EIAR), all the while compiling documented evidence to support claims made by these key informants. The output of that work is a stocktaking of 52 agricultural innovations and 26 claims of policy influence.<br><br>Quantitative evidence on the adoption of 18 of these innovations was obtained through the incorporation of measurements of the reach of these innovations in the Ethiopian Socioeconomic Survey (ESS), a regionally and nationally representative panel survey of households. We report some data from the third wave (ESS3, carried out in 2015/16), but our major focus is on ESS4 (2018/19).
DOI: 10.3886/e115008v1-70000
title: Replication Data for: Partisan shocks and financial markets: evidence from close national elections

description: This paper estimates the effect of partisan electoral victories on stock and bond markets. We employ a regression discontinuity-based event study in a sample of 758 worldwide post-1945 national elections, using existing data on parliamentary elections and newly-collected data on presidential elections. Left-wing electoral victories cause significant and substantial short-term decreases in stock-market valuations, while the response of sovereign bond markets is mostly muted. Stock market effects are stronger and more persistent in elections in which the left’s proposed economic policy is more radical and in developing economies.<br>
DOI: 10.3886/icpsr37918.v1
title: Teen-Family Sexuality Communication, 6 United States urban schools, 2017-2018

description: The primary focus of the survey was three major constructs related to sexuality communication and attitudes: direct communication, indirect communication, and attitudes about sex. Teens were asked to respond to questions about their parents and extended family for questions about direct and indirect communication and attitudes about sex. Teens were also asked about their own attitudes about sex. The survey collected information such as the participant's demographics and connections with family members and teens' sexual behavior.
description: The purpose of this study is to investigate family sexuality communication with teens.
description: The online administered Teen-Family Sexuality Communication Survey followed two key definitions: the parental/guardian living situation and the extended family. The survey used a participant's response to who they live with to organize the flow of the survey. The study team assessed which extended family members participants talked with about sex and relationships, or if they did not talk with extended family which extended family member they felt closest with. The key survey constructs were direct communication and indirect communication, attitudes about sex, demographics, and closeness and comfort talking about sex.
description: Datasets: DS1: Teen-Family Sexuality Communication, 6 United States urban schools, 2017-2018
description: computer-assisted self interview (CASI)
description: 11th and 12th grade students in the United States. Smallest Geographic Unit: United States
description: Data for this study was obtained from 11th and 12th grade students at six urban schools. Schools were recruited through school and district offices. A survey was administered online, using Qualtrics. A total of 952 surveys were collected.
DOI: 10.3886/e113218v1-70040
title: Replication data for: Life-Cycle Prices and Production

description: We use scanner data and time diaries to document how households substitute time for money through shopping and home production. We document substantial heterogeneity in prices paid for identical goods for the same area and time, with older households shopping the most and paying the lowest prices. Doubling shopping frequency lowers a good's price by 7 to 10 percent. We estimate the shopper's price of time and use this series to estimate an elasticity of substitution between time and goods in home production of roughly 1.8. The observed life-cycle time allocation implies a consumption series that differs markedly from expenditures. (JEL D12, D91)
DOI: 10.3886/e112877v1-70060
title: Replication data for: CoVaR

description: CoVaR, defined as the change in the value at risk of the financial system conditional on an institution being under distress relative to its median state. Our estimates show that characteristics such as leverage, size, maturity mismatch, and asset price booms significantly predict CoVaR. We also provide out-of-sample forecasts of a countercyclical, forward-looking measure of systemic risk, and show that the 2006:IV value of this measure would have predicted more than one-third of realized CoVaR during the 2007-2009 financial crisis.
DOI: 10.3886/e118643
title: Supplementary data for: What Do Survey Data Tell Us about US Businesses?

description: This deposit contains the PSID related raw data for What Do Survey Data Tell Us about US Businesses?<br>
description: All respondents who report as business owners.
DOI: 10.3886/e118643v2
title: Supplementary data for: What Do Survey Data Tell Us about US Businesses?

description: This deposit contains the PSID related raw data for What Do Survey Data Tell Us about US Businesses?<br>
description: All respondents who report as business owners.
DOI: 10.3886/icpsr30022.v3
title: NCAA Division I and II Graduation Success Rate and Academic Success Rate, 1995-2008 Cohorts [United States]

description: This study includes the federal graduation rate for all NCAA member institutions who participated in Division I or Division II sports. It also describes the Graduation Success Rate (GSR) for all Division I institutions and the Academic Success Rate (ASR) of all Division II institutions. The rates included in this study are based on championship sport student-athletes who first began their full-time postsecondary education in academic years 1995-96 through 2008-09.Each cohort was tracked for 6 years for college completion. For example, the graduation status for the latest cohort (2008-09 cohort) was tracked through the spring of 2014. At their core, all three measures are based on a comparison of the number of students who entered a college or university in a given year and the number of those who graduated within six years of their initial enrollment, though each measure has a slightly different cohort definition. Federal graduation rates are based on the Integrated Postsecondary Education Data System Graduation Rates (IPEDS-GRS) which is defined as a six-year proportion of those student-athletes who graduated versus those who entered an institution on institutional aid. Federal graduation rates are included for both an institution's student-athletes and its general student body. In addition to the student-athlete data in the graduation-rates data, the Division I Graduation Success Rate (GSR) accounts for student-athletes who transfer into an institution while discounting student-athletes who separate from the institution and would have been academically eligible to compete had they returned. The definition of the Division II Academic Success Rate (ASR) cohort is identical to that of the GSR with the exception that it also includes freshmen who did not receive athletics aid, but did participate in athletics.
description: Presence of Common Scales: federal graduation rate graduation success rate academic success rate
description: Datasets: DS0: Study-Level Files DS1: Division I National Aggregation Overall DS2: Division I National Aggregation Student-Athletes DS3: Division I National Aggregation Student Body DS4: Division I School Student-Athletes and Student Body DS5: Division I Squad Level Graduation Success Rate DS6: Division II National Aggregation Overall DS7: Division II National Aggregation Student-Athletes DS8: Division II National Aggregation Student Body DS9: Division II School Student-Athletes and Student Body DS10: Division II Squad Level Academic Success Rate
description: record abstracts
description: Population of student-athletes and NCAA member institutions who participated in Division I or Division II athletics from 1995-2008.
DOI: 10.3886/icpsr30022.v1
title: NCAA Division I and II Graduation Success Rate and Academic Success Rate, 1995-2008 Cohorts [United States]

description: This study includes the federal graduation rate for all NCAA member institutions who participated in Division I or Division II sports. It also describes the Graduation Success Rate (GSR) for all Division I institutions and the Academic Success Rate (ASR) of all Division II institutions. The rates included in this study are based on championship sport student-athletes who first began their full-time postsecondary education in academic years 1995-96 through 2008-09.Each cohort was tracked for 6 years for college completion. For example, the graduation status for the latest cohort (2008-09 cohort) was tracked through the spring of 2014. At their core, all three measures are based on a comparison of the number of students who entered a college or university in a given year and the number of those who graduated within six years of their initial enrollment, though each measure has a slightly different cohort definition. Federal graduation rates are based on the Integrated Postsecondary Education Data System Graduation Rates (IPEDS-GRS) which is defined as a six-year proportion of those student-athletes who graduated versus those who entered an institution on institutional aid. Federal graduation rates are included for both an institution's student-athletes and its general student body. In addition to the student-athlete data in the graduation-rates data, the Division I Graduation Success Rate (GSR) accounts for student-athletes who transfer into an institution while discounting student-athletes who separate from the institution and would have been academically eligible to compete had they returned. The definition of the Division II Academic Success Rate (ASR) cohort is identical to that of the GSR with the exception that it also includes freshmen who did not receive athletics aid, but did participate in athletics.
description: Presence of Common Scales: federal graduation rate graduation success rate academic success rate
description: Datasets: DS0: Study-Level Files DS1: Division I National Aggregation Overall DS2: Division I National Aggregation Student-Athletes DS3: Division I National Aggregation Student Body DS4: Division I School Student-Athletes and Student Body DS5: Division I Squad Level Graduation Success Rate DS6: Division II National Aggregation Overall DS7: Division II National Aggregation Student-Athletes DS8: Division II National Aggregation Student Body DS9: Division II School Student-Athletes and Student Body DS10: Division II Squad Level Academic Success Rate
description: record abstracts
description: Population of student-athletes and NCAA member institutions who participated in Division I or Division II athletics from 1995-2008.
DOI: 10.3886/icpsr26801.v1
title: NCAA Division I Academic Progress Rate, 2003-2014

description: This study was created, by the National Collegiate Athletic Association (NCAA), to provide public access to team-level Academic Progress Rates (APRs), eligibility rates, retention rates, and penalty and award information on Division I student-athletes starting with the 2003-2004 season through the 2013-2014 season, as well as to provide efficient analysis and linking of these data to other educational data.
description: College presidents across the nation recognized a need to track how student-athletes are doing academically prior to graduation. Beginning in 2003, colleges and universities in NCAA Division I -- the largest and highest profile athletics programs -- implemented a comprehensive academic reform package designed to improve the academic success and graduation of all student-athletes. The centerpiece of the academic reform package was the development of a real-time academic measurement for sports teams, known as the Academic Progress Rate (APR). The APR includes student-athlete eligibility, retention and graduation as factors in a formula that yields a single number, providing a much clearer picture of the current academic culture on each Division I sports team in the country. Since its inception, the APR has become an important measure of student-athlete academic success. For high APR scores, the NCAA recognizes member institutions for ensuring that student-athletes succeed in the classroom. If, however, low APR scores are earned consistently, member institutions can be subjected to penalties including scholarship reductions and the loss of eligibility to compete in championships.
description: The dataset contains a listing of the school name, the school's division and sub-division, the sport played, the size of the team or squad, the yearly and four-year APR, retention and eligibility rates, as well as, public award and penalty information.
description: Presence of Common Scales: Academic Progress Rate (APR)
description: Datasets: DS1: NCAA Division I Academic Progress Rate, 2003-2014
description: To protect confidentiality, some data have been blanked. Results derived from this dataset may not exactly replicate national aggregates provided by the NCAA in other formats. This may be due to updates to the data since the release of other reports, or changes made to the data to protect confidentiality.
description: Population of student athletes who participated in NCAA Division I championship sponsored sports from 2004-2014 academic years. Smallest Geographic Unit: university