Semi-Parametric Estimation of Microeconometric Models with  Qualitative and Limited Dependent Variables
{'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}
Estimating production functions and other micro models is fraught               with statistical difficulties given existing estimating techniques,             even in the case of linear models.  With nonlinear models, the                  reliability of existing techniques is even less.  This project will             analyze a number of microeconometric models, including single equation          models, systems of equations and simultaneous equation models, all with         qualitative or limited dependent variables.  The major goals are to             establish clear identification conditions, to establish consistency,            and asymptotic normality of the estimators.  In addition, the finite            sample performance of the estimators will be investigated both by               Monte Carlo studies and by applying them to actual data.                                                                                                        The purpose of this project is to develop a semi-parametric method for          the estimation of microeconometric models.  This study is important             because the development of semi-parametric methods offers a way to              better estimate a large class of non-liner models.  This estimation             method should find a variety of applications by economists interested           in empirical research.
[{'FirstName': 'Lung-fei', 'LastName': 'Lee', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Lung-fei Lee', 'EmailAddress': 'lee.1777@osu.edu', 'NSF_ID': '000451806', 'StartDate': '07/01/1988', 'EndDate': None, 'RoleCode': 'Principal Investigator'}, {'FirstName': 'Hidehiko', 'LastName': 'Ichimura', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Hidehiko Ichimura', 'EmailAddress': 'ichimura@pitt.edu', 'NSF_ID': '000107215', 'StartDate': '07/01/1988', 'EndDate': None, 'RoleCode': 'Co-Principal Investigator'}]
{'Name': 'University of Minnesota-Twin Cities', 'CityName': 'MINNEAPOLIS', 'ZipCode': '554552009', 'PhoneNumber': '6126245599', 'StreetAddress': '200 OAK ST SE', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Minnesota', 'StateCode': 'MN', 'CONGRESSDISTRICT': '05', 'CONGRESS_DISTRICT_ORG': 'MN05', 'ORG_UEI_NUM': 'KABJZBBJ4B54', 'ORG_LGL_BUS_NAME': 'REGENTS OF THE UNIVERSITY OF MINNESOTA', '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': '1320', 'Text': 'Economics'}
{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=1988&All=true', 'xml': '8809939.xml'}