Inference for Product Competition and Separable Demand
نویسندگان
چکیده
منابع مشابه
Inference for Product Competition and Separable Demand
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...
متن کاملProduct Market Competition and Corporate Demand for Insurance
This article shows through a simple model that there is a monotonic relationship between the competitiveness of the product market and firms’ demand for insurance. The more competitive the product market is, the more likely firms competing in the market will acquire insurance or purchase full coverage. This holds true no matter whether firms exhibit risk aversion or not in their preferences. In...
متن کاملstatistical inference via empirical bayes approach for stationary and dynamic contingency tables
چکیده ندارد.
15 صفحه اولExplicit product ensembles for separable quantum states
We present a general method for constructing pure-product-state representations for density operators of N quantum bits. If such a representation has nonnegative expansion coefficients, it provides an explicit separable ensemble for the density operator. We derive the condition for separability of a mixture of the GreenbergerHorne-Zeilinger state with the maximally mixed state.
متن کاملDemand Uncertainty, Perfect Competition
Foreign direct investment (FDI) brings host countries capital, productive facilities, and technology transfers, as well as new jobs and management expertise. Thus, it is important to understand the basic reasons for FDI inflow and make clear what gains from FDI are. In the present paper, based on theoretical findings we formulate clear message stating that inflow of FDI does not need to be expl...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Marketing Science
سال: 2019
ISSN: 0732-2399,1526-548X
DOI: 10.1287/mksc.2019.1159