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Robert F Bordley

Biographic Data

ID3627779
NAMERobert F Bordley
GIVEN NAMESRobert F
FAMILY NAMEBordley
SIGNATUREBORDLEY R F
AFFILIATIONSGeneral Motors (United States)
ORCID0000-0001-7832-4804
VERIFIEDYes
TOTAL WORKS8
TOTAL CITATIONS11
WORKS AS AUTHOR8
WORKS AS EDITOR0
FIRST PUBLICATION YEAR1982
LATEST PUBLICATION YEAR2001
H-INDEX1
  • Naturalistic decision making and prescriptive decision theory

    Open Access•Robert F Bordley•ARTICLE•Journal of Behavioral Decision…•2001

  • Estimating Aggregate Automotive Income Elasticities From the Population Income-Share Elasticity

    Robert F Bordley, James B McDonald•ARTICLE•Journal of Business and Economic…•1993

    The conventional approach to estimating the income responsiveness of a product's sales involves collecting data on sales as a function of income and product prices and then estimating a demand model. In many cases, it is very difficult to either collect the required data or reliably estimate the demand model. This article develops an alternative approach toward estimating these income-responsiveness parameters using only the average income of the…

  • Estimating Automotive Elasticities from Segment Elasticities and First Choice/Second Choice Data

    Robert F Bordley•ARTICLE•The Review of Economics and…•1993

    Of the share lost to one product because of a price change, diversion fractions are the fractions of that lost share going to each of the other products. This paper expresses product cross-elasticities in terms of diversion fractions and a scaling factor. Since the automotive market includes more than two-hundred products, time-series data are insufficient for estimating all elasticities. Instead, this paper estimates automotive elasticities by s…

  • Generating Market Elasticity Estimates Using Cross-Sectional First-Choice and Second-Choice Data

    Robert F Bordley•ARTICLE•Journal of Business and Economic…•1989

    This article develops a method for using first-choice/second-choice information to estimate the ratio of cross-elasticities to own-elasticities. I then use Bayesian techniques to couple this information with prior knowledge of the elasticities. This leads to elasticity estimates reflecting the decision maker's prior knowledge as well as existing data on customer first-choice/second-choice preferences. KEY WORDS: Applied demand analysisForecast co…

  • Relating Elasticities to Changes in Demand

    Robert F Bordley•ARTICLE•Journal of Business and Economic…•1985

    This article specifies a class of equations relating the demand for a good to prices. It is shown that given this class of equations, one can relate the ratio of cross-elasticities to relative changes in demand, given arbitrary price changes. KEY WORDS: Cross-elasticityApplied demand analysisEstimation

  • Using factions to estimate preference intensity

    Open Access•Robert F Bordley•ARTICLE•Public Choice•1985•References: 4

  • A Pragmatic Method for Evaluating Election Schemes through Simulation

    Open Access•Robert F Bordley•ARTICLE•American Political Science Review•1983•Cited by: 11•References: 30

    This article combines ideas from ethics, social choice, and political theory to develop a simulation method for assessing the desirability of different voting schemes in different situations. I use the method to evaluate six well-known election systems. My results are intuitive. I find that approval voting seems to be a good voting scheme for mass elections

  • Public Perceptions of Crime

    Robert F Bordley•ARTICLE•Social Forces•1982

    Journal Article Public Perceptions of Crime: A Derivation of Warr's Power Function from the Bayesian Odds Relations Get access Robert F. Bordley Robert F. Bordley General Motors Research Laboratories Search for other works by this author on: Oxford Academic Google Scholar Social Forces, Volume 61, Issue 1, September 1982, Pages 134–143, https://doi.org/10.1093/sf/61.1.134 Published: 01 September 1982

  • A Pragmatic Method for Evaluating Election Schemes through Simulation

    Open Access•Robert F Bordley•ARTICLE•American Political Science Review•1983•Cited by: 11•References: 30

    This article combines ideas from ethics, social choice, and political theory to develop a simulation method for assessing the desirability of different voting schemes in different situations. I use the method to evaluate six well-known election systems. My results are intuitive. I find that approval voting seems to be a good voting scheme for mass elections

  • Public Perceptions of Crime

    Robert F Bordley•ARTICLE•Social Forces•1982

    Journal Article Public Perceptions of Crime: A Derivation of Warr's Power Function from the Bayesian Odds Relations Get access Robert F. Bordley Robert F. Bordley General Motors Research Laboratories Search for other works by this author on: Oxford Academic Google Scholar Social Forces, Volume 61, Issue 1, September 1982, Pages 134–143, https://doi.org/10.1093/sf/61.1.134 Published: 01 September 1982

  • A Pragmatic Method for Evaluating Election Schemes through Simulation

    Open Access•Robert F Bordley•ARTICLE•American Political Science Review•1983•Cited by: 11•References: 30

    This article combines ideas from ethics, social choice, and political theory to develop a simulation method for assessing the desirability of different voting schemes in different situations. I use the method to evaluate six well-known election systems. My results are intuitive. I find that approval voting seems to be a good voting scheme for mass elections

  • Relating Elasticities to Changes in Demand

    Robert F Bordley•ARTICLE•Journal of Business and Economic…•1985

    This article specifies a class of equations relating the demand for a good to prices. It is shown that given this class of equations, one can relate the ratio of cross-elasticities to relative changes in demand, given arbitrary price changes. KEY WORDS: Cross-elasticityApplied demand analysisEstimation

  • Using factions to estimate preference intensity

    Open Access•Robert F Bordley•ARTICLE•Public Choice•1985•References: 4

  • Generating Market Elasticity Estimates Using Cross-Sectional First-Choice and Second-Choice Data

    Robert F Bordley•ARTICLE•Journal of Business and Economic…•1989

    This article develops a method for using first-choice/second-choice information to estimate the ratio of cross-elasticities to own-elasticities. I then use Bayesian techniques to couple this information with prior knowledge of the elasticities. This leads to elasticity estimates reflecting the decision maker's prior knowledge as well as existing data on customer first-choice/second-choice preferences. KEY WORDS: Applied demand analysisForecast co…

  • Estimating Aggregate Automotive Income Elasticities From the Population Income-Share Elasticity

    Robert F Bordley, James B McDonald•ARTICLE•Journal of Business and Economic…•1993

    The conventional approach to estimating the income responsiveness of a product's sales involves collecting data on sales as a function of income and product prices and then estimating a demand model. In many cases, it is very difficult to either collect the required data or reliably estimate the demand model. This article develops an alternative approach toward estimating these income-responsiveness parameters using only the average income of the…

  • Estimating Automotive Elasticities from Segment Elasticities and First Choice/Second Choice Data

    Robert F Bordley•ARTICLE•The Review of Economics and…•1993

    Of the share lost to one product because of a price change, diversion fractions are the fractions of that lost share going to each of the other products. This paper expresses product cross-elasticities in terms of diversion fractions and a scaling factor. Since the automotive market includes more than two-hundred products, time-series data are insufficient for estimating all elasticities. Instead, this paper estimates automotive elasticities by s…

  • Naturalistic decision making and prescriptive decision theory

    Open Access•Robert F Bordley•ARTICLE•Journal of Behavioral Decision…•2001

Economics (7 works) · Mathematics (5 works) · Econometrics (4 works) · Computer Science (3 works) · Law (3 works) · Law (3 works) · Microeconomics (3 works) · Political science (3 works) · Approval voting (2 works) · Bayesian probability (2 works)

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