The aim of this paper was to evaluate the demand for mobile phones in world at time coronavirus pandemic and predict future development up until end 2022. During covid-19 pandemic, markets all sectors were subdued due limited production sales. As chips electronics one deeply affected areas terms slowdown, along with rapid purchase beginning there also a slowdown method describing series calcula...

Different approaches to modeling and forecasting the demand for a digital product, namely paid activities of Facebook, are explored in article. The company is given reject its arrivals main form advertisements. available range data on company's allowed build forecast models based adaptive short-term methods, Brown method multiplicative Holt-Winters model taking into account quarterly seasonal f...

With the increasing popularity of product recommendation networks in e-commerce, researchers and practitioners are eager to understand how they can strategically manage product assortments through the manipulation of such networks to drive demand. We examine product recommendation networks in e-commerce to investigate how the demand of a product influenced by product network attributes in terms...

Structural models of demand founded on the classic work of Berry, Levinsohn, and Pakes (1995) link variation in aggregate market shares for a product to the influence of product attributes on heterogeneous consumer tastes. We consider implementing these models in settings with complicated products where consumer preferences for product attributes are sparse, that is, where a small proportion of...

Article history: Accepted 17 September 2013 JEL classifications: L13 L15

This paper presents a methodology for identifying groups of products that exhibit similar patterns in demand and responsiveness to changes in price using store-level sales data. We use the concept of economic separability as an identification condition for different product groups, and build a weakly separable model of aggregate demand. A common issue with separable demand models is that the pa...

Demand estimation based on discrete choice theory has become an important tool in Marketing and empirical Industrial Organization. In particular, estimation techniques have been developed that allow the use of individual-based discrete choice methods in situations where only aggregate data are available (e.g. Berry et al. 1995). In essence, these methods allow making inferences on the distribut...