rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Firms' information acquisition decisions in a microeconomic context
  name:
    name part: Edwards, David Michael.
    role:
      role term: creator
  name:
    name part: Bender, Donald
    role:
      role term: degree committee member.
  name:
    name part: Bessler, David A.
    role:
      role term: degree committee member.
  name:
    name part: Lacewell, Ronald
    role:
      role term: degree committee member.
  name:
    name part: McCarl, Bruce
    role:
      role term: degree supervisor.
  name:
    name part: Texas A & M University
    role:
      role term: degree granting institution.
  type of resource: text
  genre: bibliography
  genre: Academic theses.
  origin info:
    place:
      place term: xx
    date issued: 1990
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: print
    extent: viii, 95 leaves : illustrations ; 29 cm
  abstract: This dissertation deals with a firm level decision making process that involves the acquisition and use of information in a high volume credit scoring environment. A two stage model is developed to describe the choice a decision maker has between alternative levels of information acquisition. The first stage of the model describes the optimal set of credit decisions based upon on a given level of information. The second stage describes the comparison of alternative information choices that leads to the optimal level of information acquisition. The data for this study, 12,000 observations of credit characteristics and performance, were obtained from a factoring firm and a major provider of commercial credit information. Using these data and a logistic regression technique, models are developed to generate default probabilities for four competing sets of explanatory variables. The probabilities are then used in an economic model to determine whether to approve or deny a credit applicant. The results demonstrate the feasibility of valuing competing sets of information. While these results lead to the conclusion that the optimal strategy is to purchase all available information, they are specific to the particular firm in this study. The general information evaluation methodology described here may lead to other conclusions in case studies where different economic assumptions apply.
  note: "Major subject: Agricultural economics."
  note: Typescript (photocopy).
  note: Vita.
  note: Ph. D. Texas A & M University 1990
  note: Includes bibliographical references.
  subject:
    topic: Agricultural credit
  subject:
    topic: Agriculture
    topic: Economic aspects
    topic: Econometric models
  subject:
    topic: Agriculture
    topic: Finance
  subject:
    topic: Major agricultural economics
  identifier: http://gateway.proquest.com/openurl
  identifier: https://hdl.handle.net/1969.1/DISSERTATIONS-1108884
  identifier: http://proxy.library.tamu.edu/login
  related item:
    location:
      url: http://gateway.proquest.com/openurl
  related item:
    location:
      url: https://hdl.handle.net/1969.1/DISSERTATIONS-1108884
  related item:
    location:
      url: http://proxy.library.tamu.edu/login
  record info:
    record content source: TXA
    record creation date: 901105
    record change date: 20220103134837.0
    record identifier: in00000994975
    language of cataloging:
      language term: eng