Econometric Analysis of Decision Making (Accomplishment     Based Renewal)
{'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}
Econometrics provides the statistical tools for estimating                      economic relationships from real world data.  These estimates are               used to test economic theories and for policy analysis.  But                    econometric practice also tends to impose strong assumptions as a               prelude to estimation.  The objective of this project is to                     improve current practice by developing econometric methods that                 require less restrictive assumptions and, for problems where                    restrictive assumptions are inescapable, measuring the trade-offs               between estimability and the strength of the assumptions.                                                                                                       The specific econometric methods studied by this project involve                analysis of dynamic choice.  The usual approach to dynamic                      decision making is backwards recursion, i.e., the agent should                  begin by solving each of the terminal problems that he might face               and then work backwards to determine the optimal action today.                  But direct analysis of dynamic choice by backward recursion poses               formidable modelling and computational problems.                                                                                                                This project develops an exciting new approach to dynamic choice                that does not require restrictive assumptions about the future.                 The project shows that inference can be based on a relatively,                  simple, partly-reduced form static representation of backwards                  recursion.  This approach is applied to versions of the life-                   cycle consumption problem, repeated games and sequential                        sampling.  The methods are used in a major empirical study of                   schooling and career choice.
{'FirstName': 'Charles', 'LastName': 'Manski', 'PI_MID_INIT': 'F', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Charles F Manski', 'EmailAddress': 'cfmanski@northwestern.edu', 'NSF_ID': '000091905', 'StartDate': '07/15/1988', 'EndDate': None, 'RoleCode': 'Principal Investigator'}
{'Name': 'University of Wisconsin-Madison', 'CityName': 'MADISON', 'ZipCode': '537151218', 'PhoneNumber': '6082623822', 'StreetAddress': '21 North Park Street', 'StreetAddress2': 'Suite 6301', 'CountryName': 'United States', 'StateName': 'Wisconsin', 'StateCode': 'WI', 'CONGRESSDISTRICT': '02', 'CONGRESS_DISTRICT_ORG': 'WI02', 'ORG_DUNS_NUM': '161202122', 'ORG_LGL_BUS_NAME': 'UNIVERSITY OF WISCONSIN SYSTEM', 'ORG_PRNT_DUNS_NUM': '041188822'}
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{'Code': '1320', 'Text': 'Economics'}
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