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Strategic Herding Behavior in Peer-to-Peer Loan Auctions

Journal of interactive marketing, 2011-02, Vol.25 (1), p.27-36

2011

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A Comparison of Segment Retention Criteria for Finite Mixture Logit Models

Journal of marketing research, 2003-05, Vol.40 (2), p.235-243

2003

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A community-engaged randomized controlled trial of an integrative intervention with HIV-positive, methamphetamine-using men who have sex with men

BMC public health, 2016-07, Vol.16 (1), p.673-673, Article 673

2016

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Hierarchical Bayes versus Finite Mixture Conjoint Analysis Models: A Comparison of Fit, Prediction, and Partworth Recovery

Journal of marketing research, 2002-02, Vol.39 (1), p.87-98

2002

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Properties of instrumental variables estimation in logit-based demand models: Finite sample results

Journal of modelling in management, 2014-01, Vol.9 (3), p.261-289

2014

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An Empirical Comparison of Logit Choice Models with Discrete versus Continuous Representations of Heterogeneity

Journal of marketing research, 2002-11, Vol.39 (4), p.479-487

2002

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Properties of instrumental variables estimation in logit-based demand models

Journal of modelling in management, 2014-11, Vol.9 (3), p.261-289

2014

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Amalgamation of partitions from multiple segmentation bases: A comparison of non-model-based and model-based methods

European journal of operational research, 2010-03, Vol.201 (2), p.608-618

2010

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Enriching Scanner Panel Models with Choice Experiments

Marketing science (Providence, R.I.), 2003-10, Vol.22 (4), p.442-460

2003

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On the Recoverability of Choice Behaviors with Random Coefficients Choice Models in the Context of Limited Data and Unobserved Effects

Management science, 2008-01, Vol.54 (1), p.83-99

2008

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Retention of latent segments in regression-based marketing models

International journal of research in marketing, 2003-12, Vol.20 (4), p.315-321

2003

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Estimating the SCANPRO model of store sales: HB, FM or just OLS?

International journal of research in marketing, 2008-03, Vol.25 (1), p.22

2008

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Multi-stage purchase decision models: Accommodating response heterogeneity, common demand shocks, and endogeneity using disaggregate data

International journal of research in marketing, 2009-09, Vol.26 (3), p.197-206

2009

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A Comparison of Sales Response Predictions From Demand Models Applied to Store-Level versus Panel Data

Journal of business & economic statistics, 2011-04, Vol.29 (2), p.319-326

2011

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Consumer heterogeneity in the longer-term effects of price promotions

International journal of research in marketing, 2005-12, Vol.22 (4), p.441-457

2005

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An experimental investigation of scanner data preparation strategies for consumer choice models

International journal of research in marketing, 2005-09, Vol.22 (3), p.319-331

2005

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An Empirical Comparison of Methods for Clustering Problems: Are There Benefits from Having a Statistical Model?

Review of marketing science, 2010-07, Vol.8 (1)

2010

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Identifying segments with identical choice behaviors across product categories: An Intercategory Logit Mixture model

International journal of research in marketing, 2002-03, Vol.19 (1), p.65-79

2002

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Parameter Bias from Unobserved Effects in the Multinomial Logit Model of Consumer Choice

Journal of marketing research, 2000-11, Vol.37 (4), p.410-426

2000

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Randomized controlled trial of a positive affect intervention for methamphetamine users

Drug and alcohol dependence, 2018-11, Vol.192, p.8-15

2018

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Recovering and profiling the true segmentation structure in markets: an empirical investigation

International journal of research in marketing, 2003-06, Vol.20 (2), p.177-192

2003

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Randomized controlled trial of a positive affect intervention to reduce HIV viral load among sexual minority men who use methamphetamine

Journal of the International AIDS Society, 2019-12, Vol.22 (12), p.e25436-n/a

2019

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Two-stage discrete choice models for scanner panel data: An assessment of process and assumptions

European Journal of Operational Research, 1998-12, Vol.111 (2), p.193-215

1998

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Studying Consideration Effects in Empirical Choice Models Using Scanner Panel Data

Journal of marketing research, 1995-02, Vol.32 (1), p.30

1995

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Inferring Market Structure from Customer Response to Competing and Complementary Products

Marketing letters, 2002-08, Vol.13 (3), p.221-232

2002

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Strategic Herding Behavior in Peer-to-Peer Loan Auctions

A Comparison of Segment Retention Criteria for Finite Mixture Logit Models

A community-engaged randomized controlled trial of an integrative intervention with HIV-positive, methamphetamine-using men who have sex with men

Hierarchical Bayes versus Finite Mixture Conjoint Analysis Models: A Comparison of Fit, Prediction, and Partworth Recovery

Properties of instrumental variables estimation in logit-based demand models: Finite sample results

An Empirical Comparison of Logit Choice Models with Discrete versus Continuous Representations of Heterogeneity

Properties of instrumental variables estimation in logit-based demand models

Amalgamation of partitions from multiple segmentation bases: A comparison of non-model-based and model-based methods

Enriching Scanner Panel Models with Choice Experiments

On the Recoverability of Choice Behaviors with Random Coefficients Choice Models in the Context of Limited Data and Unobserved Effects

Retention of latent segments in regression-based marketing models

Estimating the SCANPRO model of store sales: HB, FM or just OLS?

Multi-stage purchase decision models: Accommodating response heterogeneity, common demand shocks, and endogeneity using disaggregate data

A Comparison of Sales Response Predictions From Demand Models Applied to Store-Level versus Panel Data

Consumer heterogeneity in the longer-term effects of price promotions

An experimental investigation of scanner data preparation strategies for consumer choice models

An Empirical Comparison of Methods for Clustering Problems: Are There Benefits from Having a Statistical Model?

Identifying segments with identical choice behaviors across product categories: An Intercategory Logit Mixture model

Parameter Bias from Unobserved Effects in the Multinomial Logit Model of Consumer Choice

Randomized controlled trial of a positive affect intervention for methamphetamine users

Recovering and profiling the true segmentation structure in markets: an empirical investigation

Randomized controlled trial of a positive affect intervention to reduce HIV viral load among sexual minority men who use methamphetamine

Two-stage discrete choice models for scanner panel data: An assessment of process and assumptions

Studying Consideration Effects in Empirical Choice Models Using Scanner Panel Data

Inferring Market Structure from Customer Response to Competing and Complementary Products

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