Nonparametric Analysis of Regression Models
{'Code': '04050100', 'Directorate': {'Abbreviation': 'SBE', 'LongName': 'Direct For Social, Behav & Economic Scie'}, 'Division': {'Abbreviation': 'SES', 'LongName': 'Divn Of Social and Economic Sciences'}}
{'SignBlockName': 'Lynn A. Pollnow', 'PO_EMAI': None, 'PO_PHON': None}
This award is for continued research on the nonparametric analysis of           regression models.  The results under the previous award are important          because the investigator has developed estimating methods that allow            the relaxation of certain extreme assumptions.  The purpose of this             study is to extend ythe estimation techniques and apply them in                 different contexts.  The first extensions employs the use of a duration         model to analyze unemployment data available from the Panel Study on            Income Dynamics.  The second extension will use competing risk models           to conduct an empirical study of unemployment spells.  In these                 models, the risks of finding a new job verses recall in an old job are          considered.  The third extension will involve the use of a multinomial          discrete choice model.  Housing mobility of the elderly will be                 analyzed with this model.
{'FirstName': 'Aaron', 'LastName': 'Han', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Aaron Han', 'EmailAddress': None, 'NSF_ID': '000114912', 'StartDate': '01/15/1988', 'EndDate': None, 'RoleCode': 'Principal Investigator'}
{'Name': 'Harvard University', 'CityName': 'CAMBRIDGE', 'ZipCode': '021385366', 'PhoneNumber': '6174955501', 'StreetAddress': '1033 MASSACHUSETTS AVE STE 3', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Massachusetts', 'StateCode': 'MA', 'CONGRESSDISTRICT': '05', 'CONGRESS_DISTRICT_ORG': 'MA05', 'ORG_UEI_NUM': 'LN53LCFJFL45', 'ORG_LGL_BUS_NAME': 'PRESIDENT AND FELLOWS OF HARVARD COLLEGE', 'ORG_PRNT_UEI_NUM': None}
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{'Code': '1320', 'Text': 'Economics'}
{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=1987&All=true', 'xml': '8721121.xml'}