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Jerry Hausman

Biographic Data

ID3960669
NAMEJerry Hausman
GIVEN NAMESJerry
FAMILY NAMEHausman
SIGNATUREHAUSMAN J
AFFILIATIONSMassachusetts Institute of Technology
VERIFIEDNo
TOTAL WORKS7
TOTAL CITATIONS20
AUTHOR COUNT7
EDITOR COUNT0
FIRST PUBLICATION YEAR1984
LATEST PUBLICATION YEAR2012
H-INDEX1
  • Contingent Valuation: From Dubious to Hopeless

    Open Access•Jerry A Hausman, Jerry Hausman•ARTICLE•The Journal of Economic…•2012•Cited by: 20•References: 10

    Approximately 20 years ago, Peter Diamond and I wrote an article for this journal analyzing contingent valuation methods. At that time Peter's view was that contingent valuation was hopeless, while I was dubious but somewhat more optimistic. But 20 years later, after millions of dollars of largely government-funded research, I have concluded that Peter's earlier position was correct and that contingent valuation is hopeless. In this paper, I sele…

  • Estimation With Many Instrumental Variables

    Christian Hansen, Jerry A Hausman et al.•ARTICLE•Journal of Business and Economic…•2008

    Using many valid instrumental variables has the potential to improve efficiency but makes the usual inference procedures inaccurate. We give corrected standard errors, an extension of Bekker to nonnormal disturbances, that adjust for many instruments. We find that this adjustment is useful in empirical work, simulations, and in the asymptotic theory. Use of the corrected standard errors in t-ratios leads to an asymptotic approximation order that …

  • Sources of Bias and Solutions to Bias in the Consumer Price Index

    Open Access•Jerry A Hausman, Jerry Hausman•ARTICLE•The Journal of Economic…•2003

    Four sources of bias in the Consumer Prices Index (CPI) have been identified. The most discussed is substitution bias, which creates a second order bias in the CPI. Three other changes besides prices changes create first order effects on a correctly measured cost of living index (COLI). I explain in this paper that a “pure price” based approach of surveying prices to estimate a COLI cannot succeed in solving the 3 problems of first order bias. I …

  • Mismeasured Variables in Econometric Analysis: Problems from the Right and Problems from the Left

    Open Access•Jerry A Hausman, Jerry Hausman•ARTICLE•The Journal of Economic…•2001

    The effect of mismeasured variables in the most straightforward regression analysis with a single regressor variable leads to a least squares estimate that is downward biased in magnitude toward zero. I begin by reviewing classical issues involving mismeasured variables. I then consider three recent developments for mismeasurement econometric models. The first issue involves difficulties in using instrumental variables. A second involves the cons…

  • Cellular Telephone, New Products, and the CPI

    Jerry A Hausman, Jerry Hausman•ARTICLE•Journal of Business and Economic…•1999

    Since their introduction in 1983, cellular telephones' adoption has grown at 25%–35% per year. At year end 1997, about 55 million cellular telephones were in use in the United States. The Bureau of Labor Statistics (BLS) did not know that cellular telephones existed, at least in terms of calculating the Consumer Price Index (CPI), until 1998 when they were finally included in the CPI. Omitting cellular telephones from the CPI created a significan…

  • Econometric Models for Count Data with an Application to the Patents-R & D Relationship

    Jerry A Hausman, Jerry Hausman et al.•ARTICLE•Econometrica•1984

    This paper focuses on developing and adapting statistical models of counts (nonnegative integers) in the context of panel data and using them to analyze the relationship between patents and R & D expenditures. Since a variety of other economic data come in the form of repeated counts of some individual actions or events, the methodology should have wide applications. The statistical models we develop are applications and generalizations of the Po…

  • Specification Tests for the Multinomial Logit Model

    Jerry A Hausman, Jerry Hausman et al.•ARTICLE•Econometrica•1984

  • Contingent Valuation: From Dubious to Hopeless

    Open Access•Jerry A Hausman, Jerry Hausman•ARTICLE•The Journal of Economic…•2012•Cited by: 20•References: 10

    Approximately 20 years ago, Peter Diamond and I wrote an article for this journal analyzing contingent valuation methods. At that time Peter's view was that contingent valuation was hopeless, while I was dubious but somewhat more optimistic. But 20 years later, after millions of dollars of largely government-funded research, I have concluded that Peter's earlier position was correct and that contingent valuation is hopeless. In this paper, I sele…

  • Econometric Models for Count Data with an Application to the Patents-R & D Relationship

    Jerry A Hausman, Jerry Hausman et al.•ARTICLE•Econometrica•1984

    This paper focuses on developing and adapting statistical models of counts (nonnegative integers) in the context of panel data and using them to analyze the relationship between patents and R & D expenditures. Since a variety of other economic data come in the form of repeated counts of some individual actions or events, the methodology should have wide applications. The statistical models we develop are applications and generalizations of the Po…

  • Specification Tests for the Multinomial Logit Model

    Jerry A Hausman, Jerry Hausman et al.•ARTICLE•Econometrica•1984

  • Cellular Telephone, New Products, and the CPI

    Jerry A Hausman, Jerry Hausman•ARTICLE•Journal of Business and Economic…•1999

    Since their introduction in 1983, cellular telephones' adoption has grown at 25%–35% per year. At year end 1997, about 55 million cellular telephones were in use in the United States. The Bureau of Labor Statistics (BLS) did not know that cellular telephones existed, at least in terms of calculating the Consumer Price Index (CPI), until 1998 when they were finally included in the CPI. Omitting cellular telephones from the CPI created a significan…

  • Mismeasured Variables in Econometric Analysis: Problems from the Right and Problems from the Left

    Open Access•Jerry A Hausman, Jerry Hausman•ARTICLE•The Journal of Economic…•2001

    The effect of mismeasured variables in the most straightforward regression analysis with a single regressor variable leads to a least squares estimate that is downward biased in magnitude toward zero. I begin by reviewing classical issues involving mismeasured variables. I then consider three recent developments for mismeasurement econometric models. The first issue involves difficulties in using instrumental variables. A second involves the cons…

  • Sources of Bias and Solutions to Bias in the Consumer Price Index

    Open Access•Jerry A Hausman, Jerry Hausman•ARTICLE•The Journal of Economic…•2003

    Four sources of bias in the Consumer Prices Index (CPI) have been identified. The most discussed is substitution bias, which creates a second order bias in the CPI. Three other changes besides prices changes create first order effects on a correctly measured cost of living index (COLI). I explain in this paper that a “pure price” based approach of surveying prices to estimate a COLI cannot succeed in solving the 3 problems of first order bias. I …

  • Estimation With Many Instrumental Variables

    Christian Hansen, Jerry A Hausman et al.•ARTICLE•Journal of Business and Economic…•2008

    Using many valid instrumental variables has the potential to improve efficiency but makes the usual inference procedures inaccurate. We give corrected standard errors, an extension of Bekker to nonnormal disturbances, that adjust for many instruments. We find that this adjustment is useful in empirical work, simulations, and in the asymptotic theory. Use of the corrected standard errors in t-ratios leads to an asymptotic approximation order that …

  • Contingent Valuation: From Dubious to Hopeless

    Open Access•Jerry A Hausman, Jerry Hausman•ARTICLE•The Journal of Economic…•2012•Cited by: 20•References: 10

    Approximately 20 years ago, Peter Diamond and I wrote an article for this journal analyzing contingent valuation methods. At that time Peter's view was that contingent valuation was hopeless, while I was dubious but somewhat more optimistic. But 20 years later, after millions of dollars of largely government-funded research, I have concluded that Peter's earlier position was correct and that contingent valuation is hopeless. In this paper, I sele…

Econometrics (6 works) · Economics (6 works) · Mathematics (4 works) · Statistics (4 works) · Computer Science (3 works) · Economic and Environmental Valuation (3 works) · Consumer Market Behavior and Pricing (2 works) · Economics of Agriculture and Food Markets (2 works) · Instrumental variable (2 works) · Microeconomics (2 works)

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