U.S. Participation in the Development of a Transnational    Database on Family Income
{'Code': '04050300', 'Directorate': {'Abbreviation': 'SBE', 'LongName': 'Direct For Social, Behav & Economic Scie'}, 'Division': {'Abbreviation': 'SES', 'LongName': 'Divn Of Social and Economic Sciences'}}
{'SignBlockName': 'jerry blackmon', 'PO_EMAI': None, 'PO_PHON': None}
The Luxembourg Income Study (LIS) is an international                      social science consortium currently participated in by 14                       industrialized nations which have agreed to pool microdata on the               incomes of families living within their divergent economies. The                data so furnished are made statistically comparable and stored at               a central facility in Luxembourg, where they may be accessed by                 researchers either on-site or remotely through a computerized                   telecommunications network. The LIS database provides a rich                    resource for multifaceted analyses of income distributions, of                  systems of cash and noncash income transfers, of relative levels                of economic well-being across different demographic groupings,                  and of many other topics which are now, or soon will be, of                     worldwide societal concern.                                                          Support for the data facility is provided by consortium                    member nations on a shared-cost basis. Funds provided by the                    National Science Foundation constitute United States                            participation in the consortium, and these funds help assure that               the potential value of the LIS database to U.S. social scientists               will be realized. The full cooperation of all member nations is                 required in order to guarantee feasibility of data retrieval,                   maintenance of high standards of data quality,  and gradual                     relaxation of methodological constraints on certain types of data               analysis. National Science Foundation funds not only represent                  U.S. cooperation in the enterprise, they also assure U.S.                       involvement in all important developmental decisions as well as                 helping to offset the costs of database mantenance and update.
{'FirstName': 'Timothy', 'LastName': 'Smeeding', 'PI_MID_INIT': 'M', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Timothy M Smeeding', 'EmailAddress': 'smeeding@lafollette.wisc.edu', 'NSF_ID': '000123216', 'StartDate': '12/01/1988', 'EndDate': None, 'RoleCode': 'Principal Investigator'}
{'Name': 'Vanderbilt University', 'CityName': 'NASHVILLE', 'ZipCode': '372032416', 'PhoneNumber': '6153222631', 'StreetAddress': '110 21ST AVE S', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Tennessee', 'StateCode': 'TN', 'CONGRESSDISTRICT': '05', 'CONGRESS_DISTRICT_ORG': 'TN05', 'ORG_UEI_NUM': 'GTNBNWXJ12D5', 'ORG_LGL_BUS_NAME': 'VANDERBILT UNIVERSITY', 'ORG_PRNT_UEI_NUM': None}
{'Name': None, 'CityName': None, 'StateCode': None, 'ZipCode': None, 'StreetAddress': None, 'CountryCode': None, 'CountryName': None, 'StateName': None, 'CountryFlag': None, 'CONGRESSDISTRICT': None, 'CONGRESS_DISTRICT_PERF': '""'}
{'Code': '1333', 'Text': 'Methodology, Measuremt & Stats'}
{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=1988&All=true', 'xml': '8801640.xml'}