A commonly applied modeling tool for the analysis of promotional effects on weekly sales data is a linear regression model. Usually, such a model includes 0/1 dummy variables for promotions, where weeks with a promotion get a value of 1. When these variables are included in a model with...

We ask various experts, who produce sales forecasts that can differ from earlier received model-based forecasts, what they do and why they do so. A questionnaire with a range of questions was completed by no less than forty-two such experts who are located in twenty different countries. We...

We develop two models to test hypotheses on the specific impact of brand and category characteristics on consumer stock-out responses. Our empirical results show that both characteristics are important determinants. Consumers are more product loyal in hedonic product groups than in utilitarian...

We ask various experts, who produce sales forecasts that can differ from earlier received model-based forecasts, what they do and why they do so. A questionnaire with a range of questions was completed by no less than forty-two such experts who are located in twenty different countries. We...

We develop two models to test hypotheses on the specific impact ofbrand and category characteristics on consumer stock-out responses.Our empirical results show that both characteristics are importantdeterminants. Consumers are more product loyal in hedonic productgroups than in utilitarian...

A commonly applied modeling tool for the analysis of promotional effects onweekly sales data is a linear regression model. Usually, such a model includes0/1 dummy variables for promotions, where weeks with a promotion get a valueof 1. When these variables are included in a model with parameters...

Using weekly data on advertising expenditures in various media and response data on awareness, consideration and choice, we test the hierarchy of effects hypothesis. Our empirical results, based on a simultaneous equations model with pooled parameters across brands, suggest that we can reject...

We propose a dynamic direct mailing response model with competitive effects, where purchase and promotion history are incorporated. We then map the dynamic competitive interactions amongst the firms sending the mailings. We investigate the short- and long-run impact of a direct mailing on the...

Using weekly data on advertising expenditures in various media and response data on awareness, consideration and choice, we test the hierarchy of effects hypothesis. Our empirical results, based on a simultaneous equations model with pooled parameters across brands, suggest that we can reject...

With the advent of advanced data collection techniques, there is an increased interest in using econometric models to support decisions in marketing. Due to the sometimes specific nature of variables in marketing, the discipline uses econometric models that are rarely, if ever, used elsewhere....