Bayesian Inference, Modeling and Forecasting Techniques in  Econometrics
{'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 project extends past and current research on Bayesian inference,           econometric modelling and forecasting techniques.  In particular, in            the area of Bayesian inference further research will be done: (1) to            assess the properties of estimates and predictions relative to                  asymmetric loss functions; (2) to extend and elaborate work on optimal          information processing and Bayes' Theorem; (3) to report and extend             results on invariant maximal data information prior distributions; and          (4) to continue research on minimum expected loss estimates for                 structural coefficients.  In the area of econometric modeling and               forecasting techniques, work on Bayesian state-space models have                been developed and applied in forecasting annual and quarterly data for         the U.S. and eight European countries.  These models will be further            refined and applied to data from nine additional countries.
{'FirstName': 'Arnold', 'LastName': 'Zellner', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Arnold Zellner', 'EmailAddress': 'arnold.zellner@gsb.uchicago.edu', 'NSF_ID': '000096302', 'StartDate': '08/01/1987', 'EndDate': None, 'RoleCode': 'Principal Investigator'}
{'Name': 'University of Chicago', 'CityName': 'CHICAGO', 'ZipCode': '606375418', 'PhoneNumber': '7737028669', 'StreetAddress': '5801 S ELLIS AVE', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Illinois', 'StateCode': 'IL', 'CONGRESSDISTRICT': '01', 'CONGRESS_DISTRICT_ORG': 'IL01', 'ORG_UEI_NUM': 'ZUE9HKT2CLC9', 'ORG_LGL_BUS_NAME': 'UNIVERSITY OF CHICAGO', 'ORG_PRNT_UEI_NUM': 'ZUE9HKT2CLC9'}
{'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=1987&All=true', 'xml': '8708571.xml'}