Search Results - "Rossi, Peter E."
-
1
Bayesian Statistics and Marketing
Published 2012“…The past decade has seen a dramatic increase in the use of Bayesian methods in marketing due, in part, to computational and modelling breakthroughs, making its…”
Get full text
eBook -
2
Even the rich can make themselves poor: a critical examination of IV methods in marketing applications
Published in Marketing science (Providence, R.I.) (01-09-2014)“…Marketing is a field that is rich in data. Our data is of high quality, often at a highly disaggregate level, and there is considerable variation in the key…”
Get full text
Journal Article -
3
Bayesian Statistics and Marketing
Published in Marketing science (Providence, R.I.) (01-08-2003)“…Bayesian methods have become widespread in marketing literature. We review the essence of the Bayesian approach and explain why it is particularly useful for…”
Get full text
Journal Article -
4
Why Don't Prices Rise during Periods of Peak Demand? Evidence from Scanner Data
Published in The American economic review (01-03-2003)“…We examine retail and wholesale prices for a large supermarket chain over seven and one-half years. We find that prices fall on average during seasonal demand…”
Get full text
Journal Article -
5
Modeling Consumer Demand for Variety
Published in Marketing science (Providence, R.I.) (01-08-2002)“…Consumers are often observed to purchase more than one variety of a product on a given shopping trip. The simultaneous demand for varieties is observed not…”
Get full text
Journal Article -
6
Plausibly exogenous
Published in The review of economics and statistics (01-02-2012)“…Instrumental variable (IV) methods are widely used to identify causal effects in models with endogenous explanatory variables. Often the instrument exclusion…”
Get full text
Journal Article -
7
Bayesian Analysis of Stochastic Volatility Models
Published in Journal of business & economic statistics (01-01-2002)“…New techniques for the analysis of stochastic volatility models in which the logarithm of conditional variance follows an autoregressive model are developed. A…”
Get full text
Journal Article -
8
The Value of Purchase History Data in Target Marketing
Published in Marketing science (Providence, R.I.) (01-01-1996)“…An important aspect of marketing practice is the targeting of consumer segments for differential promotional activity. The premise of this activity is that…”
Get full text
Journal Article -
9
Income and Wealth Effects on Private-Label Demand: Evidence from the Great Recession
Published in Marketing science (Providence, R.I.) (01-01-2018)“…We measure the causal effects of income and wealth on the demand for private-label products. Prior research suggests that these effects are large and, in…”
Get full text
Journal Article -
10
Similarities in Choice Behavior Across Product Categories
Published in Marketing science (Providence, R.I.) (01-01-1998)“…Differences between consumers in sensitivity to marketing mix variables have been extensively documented in the scanner panel data. All studies of consumer…”
Get full text
Journal Article -
11
Scalable Target Marketing: Distributed Markov Chain Monte Carlo for Bayesian Hierarchical Models
Published in Journal of marketing research (01-12-2020)“…Many problems in marketing and economics require firms to make targeted consumer-specific decisions, but current estimation methods are not designed to scale…”
Get full text
Journal Article -
12
Bayesian Analysis of Stochastic Volatility Models
Published in Journal of business & economic statistics (01-10-1994)“…New techniques for the analysis of stochastic volatility models in which the logarithm of conditional variance follows an autoregressive model are developed. A…”
Get full text
Journal Article -
13
A Direct Approach to Data Fusion
Published in Journal of marketing research (01-02-2006)“…The generic data fusion problem is to make inferences about the joint distribution of two sets of variables without any direct observations of the joint…”
Get full text
Journal Article -
14
Inference for Product Competition and Separable Demand
Published in Marketing science (Providence, R.I.) (01-07-2019)“…We propose a methodology that estimates the composition of separable demand groups using retail scanner data. This paper presents a methodology for identifying…”
Get full text
Journal Article -
15
State dependence and alternative explanations for consumer inertia
Published in The Rand journal of economics (01-09-2010)“…For many consumer packaged goods products, researchers have documented inertia in brand choice, a form of persistence whereby consumers have a higher…”
Get full text
Journal Article -
16
Invited Paper—Even the Rich Can Make Themselves Poor: A Critical Examination of IV Methods in Marketing Applications
Published in Marketing science (Providence, R.I.) (01-09-2014)“…Marketing is a field that is rich in data. Our data is of high quality, often at a highly disaggregate level, and there is considerable variation in the key…”
Get full text
Journal Article -
17
Do Switching Costs Make Markets Less Competitive?
Published in Journal of marketing research (01-08-2009)“…The conventional wisdom in economic theory holds that switching costs make markets less competitive. This article challenges this claim. The authors formulate…”
Get full text
Journal Article -
18
Optimal Taxation in Models of Endogenous Growth
Published in The Journal of political economy (01-06-1993)“…We study the problem of optimal taxation in three infinite-horizon, representative-agent endogenous growth models. The first model is a convex model in which…”
Get full text
Journal Article -
19
Bayesian analysis of stochastic volatility models with fat-tails and correlated errors
Published in Journal of econometrics (01-09-2004)“…The basic univariate stochastic volatility model specifies that conditional volatility follows a log-normal auto-regressive model with innovations assumed to…”
Get full text
Journal Article -
20
Response Modeling with Nonrandom Marketing-Mix Variables
Published in Journal of marketing research (01-11-2004)“…Sales response models are widely used as the basis for optimizing the marketing mix. Response models condition on the observed marketing-mix variables and…”
Get full text
Journal Article