Filter Results
35508 results
Matlab codes to replicate the figures in "A Single-Judge Solution to Beauty Contests".
Data Types:
  • Dataset
This data comes from a project entitled "Evaluation of HERrespect intervention addressing intimate partner and workplace violence against female garment workers". There are two separate data sets for workers and management staff.
Data Types:
  • Dataset
These are the fixed-width ASCII files that the FBI sends you when you request Uniform Crime Reporting (UCR) Program data. All data are .dat or .txt files. I did not make any changes to the data at all. For a small number of files (mostly data within the last few years), I changed the file name to indicate the data category (e.g. arrests, arson) or to add the .dat extension. Also included are the documents that the FBI provides that instructs users on how to make an .sps or .sas setup file to read in the data ("record descriptions". Please note that when unzipped the files may be quite large. The following data are available: Arson, 1979-2017 Arrests by Age, Sex, and Race - Monthly Data, 1974-2016 Law Enforcement Officers Killed and Assaulted (LEOKA), 1960-2017 Offenses Known and Cleared by Arrest (Return A), 1960-2017Property Stolen and Recovered (Supplement to Return A), 1960-2017
Data Types:
  • Dataset
The Community Navigator programme was designed to reduce loneliness for people with complex depression or anxiety who were using secondary mental health services. Acceptability and feasibility of the programme and a trial evaluation were tested in a feasibility randomised controlled trial with qualitative evaluation. Forty participants with depression or anxiety using secondary mental health services were recruited from mental health services in two London sites and randomised to receive: the Community Navigator programme over six months in addition to routine care (n=30); or routine care (n=10). Measures of loneliness, depression, other clinical and social outcomes and service use were collected at baseline and six-months follow-up. Levels of engagement in the programme and rates of trial recruitment and retention were assessed. Programme delivery was assessed through session logs completed by Community Navigators. The acceptability of the programme was explored through qualitative interviews (n=32) with intervention group participants, their family and friends, programme providers and other involved staff.
Data Types:
  • Dataset
This paper provides experimental evidence on the effect of increased competition on prices and quality in the retail sector. We randomized the entry of 61 firms into 72 markets serving the beneficiaries of a conditional cash transfer program in the Dominican Republic. Six months after the intervention entry into the market led to reductions in prices ranging from 2 to 6 percent and to a statistically significant improvement in self-reported service quality. Prices dropped more in areas where the number of entrants was larger. Competition seems to have driven part of the clientele away from incumbent retailers.
Data Types:
  • Dataset
This project examines how teacher collective bargaining agreements (CBAs), teacher salaries, and class sizes changed during the Great Recession. Using a district-level dataset of California teacher CBAs that includes measures of subarea contract strength and salaries from 2005-06 and 2011-12 tied to district-level longitudinal data, we estimate difference-in-difference models to examine bargaining outcomes for districts that should have been more or less fiscally constrained. We find that unions and administrators change critical elements of CBAs and district policy during times of fiscal duress. This includes increasing class sizes, reducing instructional time, and lowering base salaries to relieve financial pressures and negotiating increased protections for teachers in areas with less direct financial implications, including grievance procedures and non-teaching duties.
Data Types:
  • Dataset
The 3PFL database links information on patented inventions and scientific publications related to a public procurement contract or a research grant awarded by the U.S. Federal Government to detailed contract-level/grant-level information (e.g., awarding agency, recipient organization, award size).We have combined data from multiple sources, including the United States Patent and Trademark Office bulk database, the Federal Procurement Database System, the Award Submission Portal (ASP), the European Patent Office's PATSTAT database, and the Clarivate Analytics’ Web of Science database.The 3PFL database provides rich and original information that opens the door to novel empirical research in the economics of innovation and science.
Data Types:
  • Dataset
The National Surveys on Energy and Environment (NSEE), a core activity in CLOSUP's Energy and Environmental Policy Initiative, reflects a formal partnership between the Muhlenberg Institute of Public Opinion at Muhlenberg College and the Center for Local, State, and Urban Policy at the University of Michigan's Gerald R. Ford School of Public Policy. NSEE surveys include twice per year national opinion surveys on issues directly related to climate change and energy policy, as well as other surveys conducted on a range of topics such as hydraulic fracturing ("fracking"), the Great Lakes, and wider issues of energy and environment. NSEE is co-directed by professor Barry Rabe at the University of Michigan, and professor Christopher Borick at Muhlenberg College. For more information on the collaboration between the University of Michigan and Muhlenberg College, please see the recent article from Muhlenberg Magazine. For more information about the NSEE, contact CLOSUP staff at 734-647-4091 or closup@umich.edu. From 2008-2012 the survey was called the ⿿National Survey of American Public Opinion on Climate Change⿝ (NSAPOOC); starting in 2013 the survey was renamed to the ⿿National Surveys on Energy and Environment⿝ (NSEE). The NSEE is committed to transparency in all facets of our work, including timely release and posting of data from each survey wave. A grant from the Office of the Provost at the University of Michigan has allowed us to provide online access to earlier waves of the NSEE, including frequency tables, survey instruments, and datasets. Users can see a list of topics covered by the NSEE, and search for questions by text, variable name, or variable category on CLOSUP's website. Although the datasets are listed by survey wave, the NSEE is a valuable source of longitudinal public-opinion data on climate change and energy policy. Many questions have been asked over multiple waves, including questions about belief in global warming that have been asked in every wave of the NSEE. Consult the NSEE Crosswalk to see which questions have been asked in prior and subsequent waves of the NSEE. To facilitate longitudinal analysis, the NSEE datasets use a longitudinal variable naming scheme to facilitate longitudinal analysis. Variable names include two parts: a subject category for the question, and a description of the contents of the question. When a question has been asked with the same text and response options over multiple waves, the same variable name will be used in each dataset. For more information on the longitudinal naming scheme users should consult the codebooks for the datasets.
Data Types:
  • Dataset
This study consisted of a pilot test and a 4-wave longitudinal survey assessing risk and protective actions toward the Zika virus among U.S. residents.Survey 1 consisted of baseline measures (individual difference measures and risk perceptions). In Survey 2,participants responded to 9 possible government response actions that could be taken to protect against Zika. In Survey 3, participants were randomized in one of two conditions: an information condition that displayed a map of the Zika affect coverage or a control condition with no information. In Survey 4, participants were randomized into one of eight information conditions.,Response Rates: Pilot study: N/A Longitudinal studies 1-4 ranged from 53.2% to 81.1%,web-based survey~~,Non-institutionalized adults aged 18 and over residing in the United StatesSmallest Geographic Unit: United States,Convenience samples,
Data Types:
  • Dataset
These are the fixed-width ASCII files that the FBI sends you when you request Uniform Crime Reporting (UCR) Program data. All data are .dat or .txt files. I did not make any changes to the data at all. For a small number of files (mostly data within the last few years), I changed the file name to indicate the data category (e.g. arrests, arson) or to add the .dat extension. Also included are the documents that the FBI provides that instructs users on how to make an .sps or .sas setup file to read in the data ("record descriptions". Please note that when unzipped the files may be quite large. The following data are available: Arson, 1979-2017 Arrests by Age, Sex, and Race - Monthly Data, 1974-2016 Law Enforcement Officers Killed and Assaulted (LEOKA), 1960-2017 Offenses Known and Cleared by Arrest (Return A), 1960-2017Property Stolen and Recovered (Supplement to Return A), 1960-2017
Data Types:
  • Dataset
7