Joel H Steckel
Biographic Data
| ID | 802238 |
|---|---|
| NAME | Joel H Steckel |
| GIVEN NAMES | Joel H |
| FAMILY NAME | Steckel |
| SIGNATURE | STECKEL J H |
| AFFILIATIONS | Columbia University |
| VERIFIED | No |
| TOTAL WORKS | 6 |
| TOTAL CITATIONS | 1 |
| AUTHOR COUNT | 6 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 1988 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 1 |
Can Disclaimers of Affiliation Dispel Trademark Confusion? Evidence From Two Randomized Experiments
Legal scholars and courts have long viewed disclaimers of affiliation as an ineffective tool for dispelling trademark confusion. We revisit this debate with new evidence from two randomized experiments. Consistent with earlier research, we find that disclaimers alone do not dispel consumer confusion. Our experiments show, however, that simply requiring consumers to register their recognition of a disclaimer can reduce confusion to levels that mos…
A Polarization Model for Describing Group Preferences
This article develops a model for describing the preferences of a group in terms of its individual members. The model incorporates the empirically observed group-polarization phenomenon. It is interesting that the resulting group preference evaluation is essentially a weighted linear model of individual preferences with the addition of an intercept term. The polarization model is empirically tested in two experimental contexts, faculty-candidate …
Longitudinal Patterns of Group Decisions
A Heterogeneous Conditional Logit Model of Choice
Aggregate forecasts using McFadden's conditional logit model of discrete choice harbor the unrealistic implicit assumption of a random-utility distribution that is homogeneous across both alternatives and individuals. This article relaxes that assumption. A choice model is developed that describes the random-utility component as a probability-mixture model. Some numerical results illustrate that the derived model is not constrained by the indepen…
Estimating probabilistic choice models from sparse data
Estimating probabilistic choice models from sparse data
A Polarization Model for Describing Group Preferences
This article develops a model for describing the preferences of a group in terms of its individual members. The model incorporates the empirically observed group-polarization phenomenon. It is interesting that the resulting group preference evaluation is essentially a weighted linear model of individual preferences with the addition of an intercept term. The polarization model is empirically tested in two experimental contexts, faculty-candidate …
A Heterogeneous Conditional Logit Model of Choice
Aggregate forecasts using McFadden's conditional logit model of discrete choice harbor the unrealistic implicit assumption of a random-utility distribution that is homogeneous across both alternatives and individuals. This article relaxes that assumption. A choice model is developed that describes the random-utility component as a probability-mixture model. Some numerical results illustrate that the derived model is not constrained by the indepen…
Estimating probabilistic choice models from sparse data
Estimating probabilistic choice models from sparse data
Longitudinal Patterns of Group Decisions
A Polarization Model for Describing Group Preferences
This article develops a model for describing the preferences of a group in terms of its individual members. The model incorporates the empirically observed group-polarization phenomenon. It is interesting that the resulting group preference evaluation is essentially a weighted linear model of individual preferences with the addition of an intercept term. The polarization model is empirically tested in two experimental contexts, faculty-candidate …
Can Disclaimers of Affiliation Dispel Trademark Confusion? Evidence From Two Randomized Experiments
Legal scholars and courts have long viewed disclaimers of affiliation as an ineffective tool for dispelling trademark confusion. We revisit this debate with new evidence from two randomized experiments. Consistent with earlier research, we find that disclaimers alone do not dispel consumer confusion. Our experiments show, however, that simply requiring consumers to register their recognition of a disclaimer can reduce confusion to levels that mos…
Computer Science (2 works) · Consumer Market Behavior and Pricing (2 works) · Econometrics (2 works) · Economic and Environmental Valuation (2 works) · Mathematics (2 works) · Psychology (2 works) · Statistics (2 works) · Confusion (1 works) · Copyright and Intellectual Property (1 works) · Decision-Making and Behavioral Economics (1 works)