The Experts below are selected from a list of 318 Experts worldwide ranked by ideXlab platform

Javier Miranda - One of the best experts on this subject based on the ideXlab platform.

  • expanding the role of synthetic data at the u s Census Bureau
    2014
    Co-Authors: Ron S Jarmin, Thomas A Louis, Javier Miranda
    Abstract:

    National Statistical offices (NSOs) create official statistics from data collected from survey respondents, government administrative records and other sources. The raw source data is usually considered to be confidential. In the case of the U.S. Census Bureau, confidentiality of survey and administrative records microdata is mandated by statute, and this mandate to protect confidentiality is often at odds with the needs of users to extract as much information from the data as possible. Traditional disclosure protection techniques result in official data products that do not fully utilize the information content of the underlying microdata. Typically, these products take the form of simple aggregate tabulations. In a few cases anonymized public- use micro samples are made available, but these face a growing risk of re-identification by the increasing amounts of information about individuals and firms available in the public domain. One approach for overcoming these risks is to release products based on synthetic data where values are simulated from statistical models designed to mimic the (joint) distributions of the underlying microdata. We discuss re- cent Census Bureau work to develop and deploy such products. We discuss the benefits and challenges involved with extending the scope of synthetic data products in official statistics.

  • expanding the role of synthetic data at the u s Census Bureau
    Statistical journal of the IAOS, 2014
    Co-Authors: Ron S Jarmin, Thomas A Louis, Javier Miranda
    Abstract:

    National Statistical offices (NSOs) create official statistics from data collected directly from survey respondents, from government administrative records and from other third party sources. The raw source data, regardless of origin, is usually considered to be confidential. In the case of the U.S. Census Bureau, confidentiality of survey and administrative records microdata is mandated by statute, and this mandate to protect confidentiality is often at odds with the needs of data users to extract as much information as possible from rich microdata. Traditional disclosure protection techniques applied to resolve this tension have resulted in official data products that come no where close to fully utilizing the information content of the underlying microdata. Typically, these products take for the form of basic, aggregate tabulations. In a few cases anonymized public-use micro samples are made available, but these are increasingly under risk of reidentification by the ever larger amounts of information about individuals and firms that is available in the public domain. One potential approach for overcoming these risks is to release products based on synthetic or partially synthetic data where values are simulated from statistical models designed to mimic the (joint) distributions of the underlying microdata rather than making the actual underlying microdata available. We discuss recent Census Bureau work to develop and deploy such products. We also discuss the benefits and challenges involved with extending the scope of synthetic data products in official statistics.

  • 201 -Accessing Business Data Available in the U.S. Census Bureau's Research Data Center Network
    2011
    Co-Authors: Javier Miranda, Shawn D. Klimek, Erika Mcentarfer, Randy A. Becker, Cheryl Grim, James C. Davis
    Abstract:

    Javier Miranda, Census Research Data Center Network , U.S. Census Bureau. Shawn D. Klimek, U.S. Census Bureau. Erika McEntarfer, LEHD Economic Research Group, Center for Economic Studies, U.S. Census Bureau. Randy A. Becker and Cheryl A. Grim, Center for Economic Studies, U.S. Census Bureau. James C. Davis, Boston Census Research Data Center, Center for Economic Studies, U.S. Census Bureau.

Regional Offices - One of the best experts on this subject based on the ideXlab platform.

Ron S Jarmin - One of the best experts on this subject based on the ideXlab platform.

  • expanding the role of synthetic data at the u s Census Bureau
    2014
    Co-Authors: Ron S Jarmin, Thomas A Louis, Javier Miranda
    Abstract:

    National Statistical offices (NSOs) create official statistics from data collected from survey respondents, government administrative records and other sources. The raw source data is usually considered to be confidential. In the case of the U.S. Census Bureau, confidentiality of survey and administrative records microdata is mandated by statute, and this mandate to protect confidentiality is often at odds with the needs of users to extract as much information from the data as possible. Traditional disclosure protection techniques result in official data products that do not fully utilize the information content of the underlying microdata. Typically, these products take the form of simple aggregate tabulations. In a few cases anonymized public- use micro samples are made available, but these face a growing risk of re-identification by the increasing amounts of information about individuals and firms available in the public domain. One approach for overcoming these risks is to release products based on synthetic data where values are simulated from statistical models designed to mimic the (joint) distributions of the underlying microdata. We discuss re- cent Census Bureau work to develop and deploy such products. We discuss the benefits and challenges involved with extending the scope of synthetic data products in official statistics.

  • expanding the role of synthetic data at the u s Census Bureau
    Statistical journal of the IAOS, 2014
    Co-Authors: Ron S Jarmin, Thomas A Louis, Javier Miranda
    Abstract:

    National Statistical offices (NSOs) create official statistics from data collected directly from survey respondents, from government administrative records and from other third party sources. The raw source data, regardless of origin, is usually considered to be confidential. In the case of the U.S. Census Bureau, confidentiality of survey and administrative records microdata is mandated by statute, and this mandate to protect confidentiality is often at odds with the needs of data users to extract as much information as possible from rich microdata. Traditional disclosure protection techniques applied to resolve this tension have resulted in official data products that come no where close to fully utilizing the information content of the underlying microdata. Typically, these products take for the form of basic, aggregate tabulations. In a few cases anonymized public-use micro samples are made available, but these are increasingly under risk of reidentification by the ever larger amounts of information about individuals and firms that is available in the public domain. One potential approach for overcoming these risks is to release products based on synthetic or partially synthetic data where values are simulated from statistical models designed to mimic the (joint) distributions of the underlying microdata rather than making the actual underlying microdata available. We discuss recent Census Bureau work to develop and deploy such products. We also discuss the benefits and challenges involved with extending the scope of synthetic data products in official statistics.

  • resolving the tension between access and confidentiality past experience and future plans at the u s Census Bureau
    2009
    Co-Authors: Lucia Foster, Ron S Jarmin, Lynn T Riggs
    Abstract:

    This paper provides an historical context for access to U.S. Federal statistical data with a primary focus on the U.S. Census Bureau. We review the various modes used by the Census Bureau to make data available to users, and highlight the costs and benefits associated with each. We highlight some of the specific improvements underway or under consideration at the Census Bureau to better serve its data users, as well as discuss the broad strategies employed by statistical agencies to respond to the challenges of data access.

Esmd - One of the best experts on this subject based on the ideXlab platform.

Frank Nuessel - One of the best experts on this subject based on the ideXlab platform.