Search Results - "Romeo, Charles J"

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  1. 1

    Repeat use of short‐term credit: The case of deposit advance products by Chin, Alycia, Romeo, Charles J.

    Published in The Journal of consumer affairs (01-12-2022)
    “…Every day, consumers borrow using short‐term credit products. Relatively little is known about “Deposit Advance Products” (DAP), short‐term, small‐dollar loans…”
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    Journal Article
  2. 2

    Incorporating Prior Information into A GMM Objective For Mixed Logit Demand Systems by Romeo, Charles J.

    Published in The Journal of industrial economics (01-06-2016)
    “…Random parameters demand system estimates can generate upward sloping demands and imply margins outside of the theoretical bounds for profit maximization. If…”
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    Journal Article
  3. 3

    Conducting inference in semiparametric duration models under inequality restrictions on the shape of the hazard implied by job search theory by Romeo, Charles J.

    “…Using a four-month panel of revised Current Population Survey data from September-December 1993, we extend the class of semiparametric hazard models of the…”
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  4. 4

    A Gibbs sampler for mixed logit analysis of differentiated product markets using aggregate data by Romeo, Charles

    Published in Computational economics (01-02-2007)
    “…In this paper, we offer the Gibbs sampler as an alternative to the GMM estimator developed by Berry, Levinsohn, and Pakes (Econometrica 63(4), 841–890, 1995)…”
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    Journal Article
  5. 5

    The Effect of Bankruptcy Exemptions on Consumer Credit by Romeo, Charles, Sandler, Ryan

    Published in The Journal of law & economics (01-11-2023)
    “…Chapter 7 of US bankruptcy law allows consumers to exempt a portion of the value of their homes and personal property from unsecured creditors. The levels of…”
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    Journal Article
  6. 6

    Estimating Discrete Joint Probability Distributions for Demographic Characteristics at the Store Level Given Store Level Marginal Distributions and a City-Wide Joint Distribution by Romeo, Charles

    Published in Quantitative marketing and economics (01-03-2005)
    “…This paper provides a solution to the problem of estimating a joint distribution using the associated marginal distributions and a related joint distribution…”
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  7. 7

    The Impact of Self-Service Bans in the Retail Gasoline Market by Johnson, Ronald N., Romeo, Charles J.

    Published in The review of economics and statistics (01-11-2000)
    “…In 1968, 23 states barred the self-service sale of gasoline. By 1992, close to 80% of all gasoline sales nationwide were marketed through self-service, and…”
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  8. 8

    Exact Inference Using Variable Integrating Constant Importance Distributions by Romeo, Charles J, Nakatsuma, Teruo

    Published in Computational economics (01-02-2004)
    “…In this paper a new class of importance distributions that are based on normal and t-distributions are introduced. They are labeled variable integrating…”
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  9. 9

    The Effect of Format Changes and Ownership Consolidation on Radio Station Outcomes by ROMEO, CHARLES J., DICK, ANDREW R.

    Published in Review of industrial organization (01-12-2005)
    “…Analyzing a panel dataset tracking format changes and ownership consolidation in local radio markets, we find that format changes frequently have enabled…”
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  10. 10

    Controlling for Seam Problems in Duration Model Estimates: With Application to the Current Population Survey and the Computer Aided Telephone Interview/Computer Aided Personal Interview Overlap Survey by Romeo, Charles J.

    Published in The Journal of human resources (01-07-2001)
    “…Inconsistencies in duration data at the "seams" between surveys make the problem of determining where one spell ends and the next begins impossible to resolve…”
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    Journal Article
  11. 11

    Measuring information loss due to inconsistencies in duration data from longitudinal surveys by Romeo, Charles J.

    Published in Journal of econometrics (01-06-1997)
    “…In this paper, we take a functional errors-in-variables approach to modeling longitudinal duration data containing observed inconsistencies. This approach…”
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    Journal Article
  12. 12

    Atheory of Quality Competition in Newspaper Joint Operating Agreements by Romeo, Charles J., Canes, Aran

    Published in Antitrust bulletin (01-06-2012)
    “…Newspaper Joint Operating Agreements (JOAs) are long-term, inflexible contracts between metropolitan daily newspapers in the same market. These contracts…”
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  13. 13

    A theory of quality competition in newspaper joint operating agreements by Romeo, Charles J, Canes, Aran

    Published in Antitrust bulletin (22-06-2012)
    “…Newspaper Joint Operating Agreements (JOAs) are long-term, inflexible contracts between metropolitan daily newspapers in the same market. These contracts…”
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    Journal Article
  14. 14

    Controlling for seam problems in duration model estimates by Romeo, Charles J

    Published in The Journal of human resources (01-07-2001)
    “…Inconsistencies in duration data at the "seams" between surveys make the problem of determining where one spell ends and the next begins impossible to resolve…”
    Get full text
    Journal Article
  15. 15
  16. 16

    Measuring information loss due to inconsistencies in duration data from longitudinal surveys by Romeo, Charles J.

    Published in Journal of econometrics (1997)
    “…In this paper, we take a functional errors-in-variables approach to modeling longitudinal duration data containing observed inconsistencies. This approach…”
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    Journal Article
  17. 17

    Do Newspaper JOAs Charge Monopoly Advertising Rates? by ROMEO, CHARLES, PITTMAN, RUSSELL, FAMILANT, NORMAN

    Published in Review of industrial organization (01-03-2003)
    “…Conventional wisdom argues that all commercial and economic competition between two daily newspapers stops when they merge their advertising and printing…”
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    Journal Article
  18. 18

    Learning and decision costs in one-person games by Romeo, Charles, Sopher, Barry

    “…This paper reports the results of a two-part data analysis of learning in a repeated costly decision experiment. In the first part we test payoff dominance…”
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