Access to Business Microdata Julia Lane. Motivation  Business data important for variety of public policies, e.g. understanding ◦ Effect of taxes on.

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Presentation transcript:

Access to Business Microdata Julia Lane

Motivation  Business data important for variety of public policies, e.g. understanding ◦ Effect of taxes on job and wealth creation ◦ Offshoring and outsourcing ◦ Impact of globalization ◦ Creation of job ladders and career paths ◦ Wage determination….. ◦ But lack of access => much more known about supply than the demand side of labor market  Limited access (Licensing, RDC’s) => underutilization, no community development, “artisan science” AND little input into survey creation, design and implementation  Huge loss for research and policy community

Access is the future of science – and should be the future of US social science  Change the way in which social science research is done: move from artisan research to collaboratory  Reduce burden  Expand knowledge infrastructure  Increase replicability and generalizability of research  Increase the value added of data and research => increased resources  Expand researcher access to US data: lack of access in the United States is affecting the quality of American research – and the quality of research on American issues  NSF supported research  Economics generally (SOLE, NBER Summer Institute)  Science and Innovation Policy research

Disclosure Risk Data Utility Original Data No Data Maximum Tolerable Risk Released Data R-U Confidentiality Map

Vision: An Ideal System  Secure  Flexible  Low Cost  Meet Replication standard ( Gary King, Harvard, 1995)  The only way to understand and evaluate an empirical analysis fully is to know the exact process by which the data were generate  Replication dataset include all information necessary to replicate empirical results  Metadata crucial to meet the standard  Composed of documentation and structured metadata  Undocumented data are useless  Create foundation for metadata documentation and extend data lifecycle

“Reasonable Means” doesn’t need to mean onsite access

Disclosure Risk Data Utility Original Data No Data Maximum Tolerable Risk Released Data R-U Confidentiality MapNew Data