Dramatic climate changes are predicted if present-day social practices in affluent societies are not changed, but the challenge is that scarce knowledge exists about how to motivate people for social practice changes in everyday life. Preconditions for neccesary lifestyle changes seem to be in...

This paper tests the notion of whether high preference for store brands leads to higher store loyalty. Our work differs from the earlier empirical evidence on this issue in how we define and measure the two key constructs: store-brand loyalty and store loyalty. To measure store-brand preference,...

This paper investigates whether the tendency to buy store brand is category specific, or an enduring consumer trait. We develop a multicategory brand-choice model with a factor-analytic structure on the covariance matrix of the coefficients. The methodology allows us to elicit the basic latent...

Packaged goods manufacturers spend in excess of $75 billion annually on trade promotions, even though their effectiveness has been hotly debated by academics and practitioners for decades. One reason for this ongoing debate is that empirical research has been limited mostly to case studies,...

We study how market structure within a product category varies across retail formats. Building on the literature on internal market structure, we estimate a joint store and brand choice model where the loading matrix of brand attributes are allowed to be retail format specific. The approach...

When a firm allows the return of previously purchased merchandise, it provides customers with an option that has measurable value. Whereas the option to return merchandise leads to an increase in gross revenue, it also creates additional costs. Selecting an optimal return policy requires...

This paper uses factor models to identify and estimate distributions of counterfactuals. We extend LISREL frameworks to a dynamic treatment effect setting, extending matching to account for unobserved conditioning variables. Using these models, we can identify all pairwise and joint treatment...

This paper uses factor models to identify and estimate distributions of counterfactuals. We extend LISREL frameworks to a dynamic treatment effect setting, extending matching to account for unobserved conditioning variables. Using these models, we can identify all pairwise and joint treatment...