NSF-Census Research Network - Short Course

Introduction to Stan for Markov Chain Monte Carlo

Vilhuber — Tue, 17 Oct 2017 20:41:33 +0000

Author(s):

An introduction to Stan (http://mc-stan.org/): a probabilistic programming language that implements Hamiltonian Monte Carlo (HMC), variational Bayes, and (penalized) maximum likelihood estimation. Course was given at the U.S. Census Bureau on April 25, 2017.

Nodes:

University of Missouri

External Link:

Archived materials and presentation

Announcement at Census Bureau

Type:

Short Course

Academic year:

Apr-2017

Primary and cross-listed field of class or course:

Computer Science

Statistics

Number of students:

Short-Course - One-day SIPP Training Workshop

Shelly Hall — Fri, 06 Feb 2015 16:38:51 +0000

Author(s):

Matthew Shapiro

Margaret Levenstein

The Michigan NCRN will sponsor a one-day SIPP training workshop at Census Bureau Headquarters in Suitland, Maryland on Friday, May 15. The workshop will focus on SIPP classic, with an introduction to the re-designed SIPP, and is open to analysts at government agencies and nonprofits in the Washington DC area. Please contact MCRDC@umich.edu for more information.

Nodes:

University of Michigan

External Link:

Training Announcement

Calendar Announcement

Type:

Short Course

Academic year:

May-2015

Primary and cross-listed field of class or course:

Economics

Other

Statistics

Intro to Privacy and Confidentiality

Vilhuber — Thu, 05 Feb 2015 21:54:05 +0000

Author(s):

Steorts, Rebecca

This course is an introduction to privacy and confidentiality and is designed as a short course for professional master's students. The course was given at the Université de Paris-Dauphine. All materials are authored by Rebecca Steorts.

Nodes:

Carnegie-Mellon University

Tags:

Privacy; confidentiality

External Link:

Course website

Type:

Short Course

Academic year:

Sep-2014

Primary and cross-listed field of class or course:

Computer Science

Statistics

Short-Course - Conducting Research Using The Survey Of Income And Program Participation (SIPP) Advanced Workshop

Shelly Hall — Fri, 30 Jan 2015 23:47:34 +0000

Author(s):

Martha Stinson

H. Luke Shaefer

Martha Bailey

Martha Stinson, economist at the U.S. Census Bureau, lead the workshop, in collaboration with researchers at the University of Michigan, the U.S. Census Bureau and other nationally recognized SIPP scholars. This advanced workshop introduced participants to the use of the Survey of Income and Program Participation Synthetic Beta (SSB) and provide hands-on applications to prepare them to conduct their own SSB-based research. The SIPP Synthetic Beta (SSB) is a Census Bureau data product that integrates person-level micro-data from a household survey (SIPP survey data) with W-2 earnings and OASDI benefits data. Census has synthesized the data to preserve the underlying covariate relationships between variables while protecting respondent confidentiality. Unlike the original, administrative data, the SSB is publicly available. The Census Bureau offers all SSB users the opportunity to submit their programs for validation on the internal, confidential version of these data. As part of this workshop, participants will learn how to prepare programs for submission to the validation process and how to request the release of research results from Census disclosure officers. This experience will help participants not only begin their SSB research projects but also see them through to successful completion after the seminar has finished.

Nodes:

University of Michigan

Cornell University

External Link:

Calendar announcement

SSB codebook (@ Cornell)

Type:

Short Course

Academic year:

Jun-2014

Primary and cross-listed field of class or course:

Economics

Other

Statistics

Number of students:

Short-Course - Conducting Research Using The Survey Of Income And Program Participation (SIPP) Introductory Workshop

Shelly Hall — Fri, 30 Jan 2015 23:35:02 +0000

Author(s):

H. Luke Shaefer

Martha Bailey

H. Luke Shaefer, Assistant Professor of Social Work at the University of Michigan and National Poverty Center (NPC) Research Affiliate, led the workshop. Participants, who were selected through a competitive application process, developed an understanding of how SIPP data are collected and how they can be accessed, heard presentations of research done using SIPP data and had opportunities to discuss those projects, and extracted, worked with, and analyzed data from the public-use SIPP. The workshop provided the necessary foundations for participants to conduct their own SIPP-based research project.

The SIPP collects longitudinal subannual data on respondents’ income, labor force activity, household composition, health, migration, and eligibility for and participation in programs (e.g.TANF, WIC, Medicare, Medicaid, and numerous others). As such, it provides unique opportunities to examine the social and economic well-being of U.S. residents, and changes in residents’ experiences over time.

Nodes:

University of Michigan

External Link:

Calendar announcement

Type:

Short Course

Academic year:

Jun-2014

Primary and cross-listed field of class or course:

Economics

Other

Statistics