cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.3886/icpsr01179
title: Demand for Divisia Money in a Core Monetary Union
title: Archival Version

description: Proponents of an aggregation-theoretic approach to money demand argue that simple-sum measures do not capture the theoretical notion of money, especially for broad monetary aggregates. European monetary aggregation, which uses indices for monetary services, seems attractive because these indices can account for the imperfect substitutability between different currencies. This research applies the aggregation-theoretic framework to money holdings of European residents and compares the resulting index to simple-sum M3. The conclusion is that the Divisia index of European monetary services may provide additional insight into money demand during the period of transition to monetary union.
description: Datasets: 
 
 DS1: Dataset
description: (1) The file submitted, SO97DP.KW, gives the contact information for the data and programs used in this article. (2) These data are part of ICPSR's Publication-Related Archive and are distributed exactly as they arrived from the data depositor. ICPSR has not checked or processed this material. Users should consult the investigator(s) if further information is desired.
DOI: 10.3886/icpsr34725.v1
title: HIV Open Data Project: eHARS - The HIV/AIDS Reporting System, Person Data
title: Version 1

description: The Enhanced HIV/AIDS Reporting System (eHARS) is an application for collecting, storing, and retrieving the data the Centers for Disease Control and Prevention (CDC) has identified as necessary to: - monitor the HIV/AIDS epidemic - evaluate HIV prevention policies and programs Monitoring the HIV/AIDS epidemic relies heavily on reports of individual cases of HIV and/or AIDS. HIV/AIDS case surveillance and epidemiologic studies are essential in meeting federal, state, and local needs for targeting and allocating billions of dollars of federal resources, which are distributed based both on the number and characteristics of persons with HIV and/or AIDS. The data collected provide health departments with concrete information regarding the outcome of HIV prevention activities within their jurisdiction. eHARS encompasses core HIV/AIDS surveillance data activities and projects, and provides tools to assist in the following: - investigation of potential HIV/AIDS cases - management of current data - import and export of data - transfer of data to CDC - reporting - analysis eHARS gathers information from documents entered or imported into the system and links them to a particular person. Each person, or case, is assigned a system-generated identifier (ehars_uid), and each entered document for that case is linked by the eHARS UID. A system-generated identifier (document_uid) is also assigned to each document in the system, including the summary document (the Person View document) that eHARS automatically creates when the first document is entered for a person. eHARS maintains the Person View document for each case, regenerating the document and calculating certain values, such as diagnostic status, as new documents are added. eHARS uses a relational database to collect, store, and organize data. A relational database consists of tables linked by unique identifiers common to the tables. A case in eHARS consists of an identifier (typically, ehars_uid or document_uid) linking data stored in many tables. As new data are collected for a case, the case summary-the Person View document-is updated to reflect the current information, but historic data remain in their tables and available for review and analysis.
description: ICPSR data undergo a confidentiality review and are altered when necessary to limit the risk of disclosure. ICPSR also routinely creates ready-to-go data files along with setups in the major statistical software formats as well as standard codebooks to accompany the data. In addition to these procedures, ICPSR performed the following processing steps for this data collection: Created variable labels and/or value labels.; Checked for undocumented or out-of-range codes..
description: Datasets: 
 
 DS1: Dataset
description: coded on-site observation, mixed mode
description: HIV/AIDS case surveillance data reported to CDC. Smallest Geographic Unit: Census tract
DOI: 10.3886/icpsr34726.v1
title: HIV Open Data Project: eHARS - The HIV/AIDS Reporting System, Document Data
title: Version 1

description: The Enhanced HIV/AIDS Reporting System (eHARS) is an application for collecting, storing, and retrieving the data the Centers for Disease Control and Prevention (CDC) has identified as necessary to: - monitor the HIV/AIDS epidemic - evaluate HIV prevention policies and programs Monitoring the HIV/AIDS epidemic relies heavily on reports of individual cases of HIV and/or AIDS. HIV/AIDS case surveillance and epidemiologic studies are essential in meeting federal, state, and local needs for targeting and allocating billions of dollars of federal resources, which are distributed based both on the number and characteristics of persons with HIV and/or AIDS. The data collected provide health departments with concrete information regarding the outcome of HIV prevention activities within their jurisdiction. eHARS encompasses core HIV/AIDS surveillance data activities and projects, and provides tools to assist in the following: - investigation of potential HIV/AIDS cases - management of current data - import and export of data - transfer of data to CDC - reporting - analysis eHARS gathers information from documents entered or imported into the system and links them to a particular person. Each person, or case, is assigned a system-generated identifier (ehars_uid), and each entered document for that case is linked by the eHARS UID. A system-generated identifier (document_uid) is also assigned to each document in the system, including the summary document (the Person View document) that eHARS automatically creates when the first document is entered for a person. eHARS maintains the Person View document for each case, regenerating the document and calculating certain values, such as diagnostic status, as new documents are added. eHARS uses a relational database to collect, store, and organize data. A relational database consists of tables linked by unique identifiers common to the tables. A case in eHARS consists of an identifier (typically, ehars_uid or document_uid) linking data stored in many tables. As new data are collected for a case, the case summary -- the Person View document -- is updated to reflect the current information, but historic data remain in their tables and available for review and analysis.
description: ICPSR data undergo a confidentiality review and are altered when necessary to limit the risk of disclosure. ICPSR also routinely creates ready-to-go data files along with setups in the major statistical software formats as well as standard codebooks to accompany the data. In addition to these procedures, ICPSR performed the following processing steps for this data collection: Created variable labels and/or value labels.; Checked for undocumented or out-of-range codes..
description: Datasets: 
 
 DS1: Dataset
description: coded on-site observation, mixed mode
description: HIV/AIDS case surveillance data reported to CDC. Smallest Geographic Unit: Census tract
DOI: 10.3886/icpsr34727.v2
title: HIV Open Data Project: SAMHSA/CSAT MAI Rapid HIV Testing Clinical Information Form
title: Version 2

description: The Substance Abuse and Mental Health Services Administration (SAMHSA) launched a pilot rapid HIV testing project in October 2009 with 47 Targeted Capacity Expansion Program for Substance Abuse Treatment and HIV/AIDS Services (TCE-HIV) grantees. In 2010, 16 additional grantees were added to bring the number to 63. SAMHSA's TCE-HIV Program was designed to improve access to substance abuse treatment and HIV/AIDS services by increasing program capacity and outreach to racial and ethnic minority populations.
description: The purpose of the SAMHSA TCE-HIV RHT Component Pilot is to: - Expand rapid HIV testing among racial and ethnic minority populations entering outreach and substance abuse treatment programs; - Provide substance abuse treatment to address drug use disorders; - Case manage those testing positive to primary HIV medical care; and - Provide primary treatment for drug use disorders and enhance HIV preventive services for those who tested negative. All MAI-TCE-HIV grantees were required to offer clients entering outreach or treatment offer a Rapid HIV Test and complete the RHT form.
description: - A SAMHSA/CSAT MAI Rapid HIV Testing Clinical Information Form (RHT form) was developed for this pilot - During the first year (2009) of the pilot, grantees used a paper/pencil method of administration - An online data collection system was later developed (2011) and launched for a web based method of administration - Quality control methods include random selection of RHT forms which are checked regularly for completeness and accuracy - Emails generated by the online data collection system are sent weekly to grantees that provide any errors for their respective forms - Emails generated by the online data collection system are routinely sent to Government Project Officers to monitor performance - Ongoing technical assistance is provided to grantees on the administration of the RHT form and/or on the online system
description: ICPSR data undergo a confidentiality review and are altered when necessary to limit the risk of disclosure. ICPSR also routinely creates ready-to-go data files along with setups in the major statistical software formats as well as standard codebooks to accompany the data. In addition to these procedures, ICPSR performed the following processing steps for this data collection: Created variable labels and/or value labels..
description: Datasets: 
 
 DS1: Dataset
description: computer-assisted personal interview (CAPI), paper and pencil interview (PAPI)
description: Information collected on individuals receiving services at 63 Targeted Capacity Expansion Program for Substance Abuse Treatment and HIV/AIDS Services (TCE-HIV) grantees.
DOI: 10.3886/icpsr34728.v1
title: HIV Open Data Project: NOMs Client-Level Measures for Discretionary Programs Providing Direct Services - Services Tool for Minority AIDs Initiative - TCE, Adult Programs
title: Version 1

description: Center for Mental Health Services (CMHS) grantees that provide direct services to consumers are required to collect data from each consumer who receives grant-funded services. Grantees collect these data from individual consumers using the NOMs Client-level Measures tool, also known as the Services tool. Data are collected throughout a consumer's episode of care. - A consumer is defined as a person who is actively in treatment with a CMHS funded program. - An episode of care begins when the consumer enters treatment or services, as defined by the program, and ends when the consumer is discharged and no longer receiving treatment or services with that grantee. A new episode of care begins when a consumer returns for treatment after a lapse of service of 90 calendar days or more or after being discharged. For each episode of care, an attempt must be made to interview the consumer at baseline, 6-month reassessment intervals (calculated as 180 calendar days), and discharge. All programs (and grantees) are required to collect all of the data elements on the respective Services tool. The Client-level Measures tool is comprised of the following sections: - Demographic Data - Functioning, Military Family and Deployment, and Violence and Trauma - Stability in Housing - Employment and Education - Crime and Criminal Justice Status - Perception of Care - Social Connectedness - Reassessment Status - Clinical Discharge Status - Services Received - Program Specific Questions (optional)
description: ICPSR data undergo a confidentiality review and are altered when necessary to limit the risk of disclosure. ICPSR also routinely creates ready-to-go data files along with setups in the major statistical software formats as well as standard codebooks to accompany the data. In addition to these procedures, ICPSR performed the following processing steps for this data collection: Created variable labels and/or value labels..
description: Datasets: 
 
 DS1: Dataset
description: mixed mode, on-site questionnaire
description: All persons, also known as consumers, actively in treatment with a CMHS funded program at the time of an episode of care. Smallest Geographic Unit: Grantee Site
DOI: 10.3886/icpsr34729.v1
title: HIV Open Data Project: CSAT GPRA Client Outcome Measures for Discretionary Programs
title: Version 1

description: SAMHSA has a corporate strategy to standardize its client outcome measures wherever programs and grants would usually be collecting the same information items. This strategy addresses a requirement under the Government Performance and Results Act (GPRA) to report program outcomes as a part of the Federal budgeting cycle. Recipients of grants for discretionary services programs will be required to collect these measures. SAMHSA's goal is to measure program performance using these measures. As a general guide, the approach to creating GPRA measures has been designed to minimize any increase in the time and financial costs associated with complying. The list of standard measures below was developed with input from programs across all parts of SAMHSA, and is intended to produce comparable outcome estimates for all SAMHSA efforts. - Record Management - Drug and Alcohol Use - Family and Living Conditions - Education, Employment, and Income - Crime and Criminal Justice Status - Mental and Physical Health Problems and Treatment - Social Connectedness - Follow-up Status - Discharge Status - Services Received Recipients of grants for discretionary services programs will be required to collect these measures at intake, discharge and 6-months post intake; and additionally at 3-months post intake for CSAT adolescent programs. Most grants already include intake items from this list appropriate to their goals and population.
description: ICPSR data undergo a confidentiality review and are altered when necessary to limit the risk of disclosure. ICPSR also routinely creates ready-to-go data files along with setups in the major statistical software formats as well as standard codebooks to accompany the data. In addition to these procedures, ICPSR performed the following processing steps for this data collection: Created variable labels and/or value labels..
description: Datasets: 
 
 DS1: Dataset
description: mixed mode, on-site questionnaire
description: All persons, also known as clients, who enter treatment with a facility that receives SAMHSA/CSAT discretionary funding.
DOI: 10.3886/icpsr34730.v1
title: HIV Open Data Project: Office on Women's Health Progress Report Form
title: Version 1

description: The Office on Women's Health (OWH) Progress Report Form is used to collect quarterly information from OWH-funded grantees. The goal of the report is to obtain information about the following topics: - Workplan progress - Implementation of intervention programs - Staff development and training - Linkages with other community organizations - Demographic characteristics of individuals enrolled in interventions - HIV status of individuals enrolled in interventions - Linkages to care and targeted intervention enrollment - Outreach activities and policy implementation - Program evaluation
description: ICPSR data undergo a confidentiality review and are altered when necessary to limit the risk of disclosure. ICPSR also routinely creates ready-to-go data files along with setups in the major statistical software formats as well as standard codebooks to accompany the data. In addition to these procedures, ICPSR performed the following processing steps for this data collection: Created variable labels and/or value labels..
description: Datasets: 
 
 DS1: Dataset
description: mixed mode
description: All individuals enrolled in interventions with an OWH funded grantee.
DOI: 10.3886/icpsr01180
title: Using Federal Funds Futures Rates to Predict Federal Reserve Actions
title: Archival Version

description: The federal funds futures rate naturally embodies the market's expectation of the average behavior of the federal funds rate. This research points out that analysts cannot attempt to identify federal policy from the behavior of the federal funds futures rate without making somewhat arbitrary additional assumptions. Also studied is the predictive accuracy of a rule based on the federal funds futures rate from October 1988 through August 1997 using an assumption that is sufficient for partially identifying when the market is expecting a federal action but not for predicting the magnitude of the action. The forecasting rule correctly predicts a target change at the one-month horizon only about one-third of the time. The conclusion is that more research is needed, especially in light of the Federal Open Market Commission's (FOMC) recent practice of disclosing policy decisions immediately after FOMC meetings.
description: Datasets: 
 
 DS1: Dataset
description: (1) The file submitted is ND97DATA.RT, an ASCII data file. (2) These data are part of ICPSR's Publication-Related Archive and are distributed exactly as they arrived from the data depositor. ICPSR has not checked or processed this material. Users should consult the investigator(s) if further information is desired.
DOI: 10.3886/icpsr01181
title: Measuring Real Investment: Trends in the United States and International Comparisons
title: Archival Version

description: This research points out the importance of price trends and differences in price levels for real investment rates and also the consequences of accepting conventional measures of capital formation, the boundaries of which have more to do with the wide availability of data than with what economists define as "investment" or "capital formation."
description: Datasets: 
 
 DS1: Dataset
description: (1) The files submitted are 9801MK.DOC and 9801MK.WPD, which are MSWord and WordPerfect versions of the data. The files are otherwise identical. (2) These data are part of ICPSR's Publication-Related Archive and are distributed exactly as they arrived from the data depositor. ICPSR has not checked or processed this material. Users should consult the investigator(s) if further information is desired.
DOI: 10.3886/icpsr01186
title: Interplay of Macropartisanship and Macroideology: A Time-Series Analysis
title: Archival Version

description: Considerable research focuses on explaining trends in party identification in the American public. Somewhat less attention has been devoted to trends in ideological identification, although such research has been on the increase. However, the potential relationship between macropartisanship and macroideology remains largely unexamined. The investigators use alternative methodologies to test whether shifts in macropartisanship have occurred independently of, along with, before, or after shifts in macroideology. Also examined are the time-series properties of the two series, which provide insight into their persistence and memory. The framework provides a flexible approach to studying short- and long-run behavior, and the evidence is consistently at variance with the idea that there is a relationship between macroideolgy and macropartisanship. Thus, shifts in party identification and ideology are not driven in response to a set of common factors, nor can shifts in one partisan direction or the other be interpreted as ideological mandates at the aggregate level.
description: Datasets: 
 
 DS1: Dataset
description: (1) The file submitted is bsks.zip, a compressed file with the dataset and graphs. (2) These data are part of ICPSR's Publication-Related Archive and are distributed exactly as they arrived from the data depositor. ICPSR has not checked or processed this material. Users should consult the investigator(s) if further information is desired.
DOI: 10.3886/icpsr01187
title: Crash of '87: Was It Expected? The Evidence from Options Markets
title: Archival Version

description: Efforts to explain why stock markets worldwide crashed in October 1987 have been frustrated by the scarcity of major economic developments occurring around that time that could have precipitated the crashes. It is conceivable that the United States stock market crashed because it was expected to crash. To test this hypothesis, transaction prices of Standard and Poor's 500 futures options over the 1985-1987 period were examined for evidence prior to October 1987 of expectations of an impending crash. It was found that out-of-the-money puts became unusually expensive during the year leading up to the crash. A model was therefore derived for pricing American options on jump-diffusion processes with systematic jump risk. The jump-diffusion parameters implicit in option prices indicate that a crash was expected and that implicit distributions were negatively skewed for the October 1986-August 1987 period. Neither approach, however, points to any strong crash fears in the two months prior to the crash.
description: Datasets: 
 
 DS1: Dataset
description: The files are SP8501.DAT-SP8712.DAT, SPLINE85.DAT-SPLINE87.DAT, SPNOON.PRN, SKEWPREM.PRN, SPPARAM.PRN, SPCP.PRN, and SPTEST.PRN. There are readme files from the original diskettes that describe the contents of the data files.
These data are part of ICPSR's Publication-Related Archive and are distributed exactly as they arrived from the data depositor. ICPSR has not checked or processed this material. Users should consult the investigator(s) if further information is desired.
DOI: 10.3886/icpsr01190
title: Statistical Model for Multiparty Electoral Data
title: Archival Version

description: In this collection, a comprehensive statistical model for analyzing multiparty, district-level elections is proposed. This model, which provides a tool for comparative politics research analogous to what regression provides in the American two-party context, can be used to explain or predict how geographic distributions of electoral results depend upon economic conditions, neighborhood ethnic compositions, campaign spending, and other features of the election campaign or aggregate areas. Also provided are new graphical representations for data exploration, model evaluation, and substantive interpretation. The authors illustrate the use of this model by attempting to resolve a controversy over the size of and trend in the electoral advantage of incumbency in Britain. Contrary to previous analyses, all based on measures now known to be biased, the research demonstrates that the advantage is small but meaningful, varies substantially across parties, and is not growing. Finally, the authors show how to estimate from which party each other party's advantage is predominantly drawn.
description: Datasets: 
 
 DS1: Dataset
description: (1) The file submitted is katzking.zip. The zip file is binary and contains a README file and program and data files. (2) These data are part of ICPSR's Publication-Related Archive and are distributed exactly as they arrived from the data depositor. ICPSR has not checked or processed this material. Users should consult the investigator(s) if further information is desired.
DOI: 10.3886/icpsr01192
title: Fairness in the Apportionment of Seats in the Legislature: Is There Room for Improvement?
title: Archival Version

description: This research explores which of the different apportionment methods are relatively fair, by emphasizing the historical evolution of apportionment methods in the Turkish context.
description: Datasets: 
 
 DS1: Dataset
description: (1) The file submitted is fairness.zip, which contains summary.doc, summary, nptdata.sav, spss data file, table2_4.doc, tables 2 to 4, table1a.doc, table 1, and fairness.doc, the article. (2) These data are part of ICPSR's Publication-Related Archive and are distributed exactly as they arrived from the data depositor. ICPSR has not checked or processed this material. Users should consult the investigator(s) if further information is desired.