Nonparametric Estimation of Utility Functions
{'Code': '04050100', 'Directorate': {'Abbreviation': 'SBE', 'LongName': 'Direct For Social, Behav & Economic Scie'}, 'Division': {'Abbreviation': 'SES', 'LongName': 'Divn Of Social and Economic Sciences'}}
{'SignBlockName': 'Daniel H. Newlon', 'PO_EMAI': None, 'PO_PHON': None}
It is commonly assumed that consumers' demand functions are generated           by the maximization of some utility function.  Detailed knowledge of            utility functions is necessary for the prediction of consumer demand            under different environments and for the assessment of the welfare              implications of policy changes.  The purpose of this project is to              develop nonparametric methods for estimating utility functions from             consumer-demand observations.  The methods are nonparametric because            they do not require the specification of a specific functional form.            This is important because this approach can eliminate misspecification          errors leading to faulty predictions.  The computational complexity of          estimating nonparametric demand functions requires the use of a                 supercomputer, and this award will provide access to a supercomputer            for developing and testing nonparametric estimation methods.
{'FirstName': 'Rosa', 'LastName': 'Matzkin', 'PI_MID_INIT': 'L', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Rosa L Matzkin', 'EmailAddress': 'matzkin@econ.ucla.edu', 'NSF_ID': '000223347', 'StartDate': '10/15/1987', 'EndDate': None, 'RoleCode': 'Principal Investigator'}
{'Name': 'Yale University', 'CityName': 'NEW HAVEN', 'ZipCode': '065113572', 'PhoneNumber': '2037854689', 'StreetAddress': '150 MUNSON ST', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Connecticut', 'StateCode': 'CT', 'CONGRESSDISTRICT': '03', 'CONGRESS_DISTRICT_ORG': 'CT03', 'ORG_UEI_NUM': 'FL6GV84CKN57', 'ORG_LGL_BUS_NAME': 'YALE UNIV', 'ORG_PRNT_UEI_NUM': 'FL6GV84CKN57'}
{'Name': None, 'CityName': None, 'StateCode': None, 'ZipCode': None, 'StreetAddress': None, 'CountryCode': None, 'CountryName': None, 'StateName': None, 'CountryFlag': None, 'CONGRESSDISTRICT': None, 'CONGRESS_DISTRICT_PERF': '""'}
{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=1987&All=true', 'xml': '8713532.xml'}