1,741 research outputs found
Intra-Household Effects on Demand for Telephone Service: Empirical Evidence
I present a game-theoretical model to estimate consumption demand, accounting for intra-household interaction among household members. Although multiple Nash equilibria of consumption decisions may exist in a household, model parameters are pointwise identified from household-level data for households with only two members. I propose a semiparametric maximum likelihood estimator and apply it to empirically analyze the subscription decision for cellular phone service in Taiwan. On average, a consumer's probability of subscribing to cellular service rises 35 percentage points when the other household member chooses to subscribe. This result suggests the existence of intra-household network effects on cellular phone consumption. The intra-household effect increases in household income, but decreases in the number of kids and the age difference in a household.consumption externality, multiple Nash equilibria, demand estimation, mobile phone service, cellular phone service, network effect
Are eBay auctions efficient? A model with buyer entries
I use a sequential-auction model to mimic the environment of Internet auction sites, such as eBay. For a sequence of auctions, new buyers may enter the auction site after some of the auctions has completed and only bid for the remaining auctions. Because an incumbent buyer may have revealed their own valuation in earlier auctions while a new entrant do not, their expectations about the future are asymmetric. As a result, a buyer with a lower valuation may win an auction while a buyer with a higher valuation may restrain from bidding higher, resulting an inefficient allocation. On the contrary, selling the multiple items in a single simultaneous auction results in an efficient outcome. The profit from selling all items together in one simultaneous auction is less than that from selling them sequentially.Internet auction, sequential auctions, affiliated private values
An Association Between Periodontal Disease and Ischemic Stroke with Specific Dental Therapy: An Integrated Review
Numerous researches have mentioned the interaction between periodontal disease (PD) and ischemic stroke. However, whether treatment of PD reduces ischemic stroke remains controversial. In this study, we review how periodontitis is a risk factor for stroke among the identified inflammatory mechanisms and how different types of specific periodontal treatments reduce the hazard of ischemic stroke. Based on the concept of inflammatory mechanisms between two diseases, whether all types of dental treatment can be effective to interrupt ischemic stroke development or instead lead to an irritating effect. The possibility of preventing recurrent stroke by treating PD is present in the discussion
Deterministic Dense Coding and Faithful Teleportation with Multipartite Graph States
We proposed novel schemes to perform the deterministic dense coding and
faithful teleportation with multipartite graph states. We also find the
sufficient and necessary condition of a viable graph state for the proposed
scheme. That is, for the associated graph, the reduced adjacency matrix of the
Tanner-type subgraph between senders and receivers should be invertible.Comment: 10 pages, 1 figure;v2. discussions improve
Estimating Demand for Cellular Phone Service under Nonlinear Pricing
Cellular phone carriers typically offer complicated nonlinear tariffs. Consumers make a discrete choice among several rate plans. Each plan has a nonlinear price schedule, and price is usually lower for in-network calls. I present an empirical framework to estimate demand under such nonlinear pricing schemes by using parsimonious data and apply the estimation method to analyze the cellular phone service market in Taiwan. Based on the estimated model, I evaluate the impacts of termination-based pricing schemes on the market structure. While the existence of in-network discounts causes considerable tipping effects on market shares, the effects come primarily from reducing the average prices, not from the difference between in-network and off-network prices. There is no evidence showing that termination-based pricing by itself has significant effects on market structure.termination-based price discrimination, optional rate plans, cellular phone service, structural estimation
AI Design to Innovation
Artificial intelligence (AI) is expected to create various innovations for changing human workplaces. AI is characterized by features of learning and self-growth. Efficient AI learning should depend on human inputs, particularly from human professionals (e.g., doctors and nurses). Hence, professionalsā intention to facilitate AI innovation is critical. However, little is known about how to design AI to strengthen such intention, warranting our research to answer this question. We use expectancy-value theory to identify three potential AI design elements and examine how they enhance the perception that AI enhances professionalsā capabilities and their intention to facilitate AI innovation. These elements are contextual-specific features of AI, extending the expectancy-value theory to the novel AI technologies. We will test our model by using two-wave data of nursing professionalsā responses. The results are expected to assist AI designs that effectively motivate professionals to facilitate AI innovations
Multipartite Entanglement Measures and Quantum Criticality from Matrix and Tensor Product States
We compute the multipartite entanglement measures such as the global
entanglement of various one- and two-dimensional quantum systems to probe the
quantum criticality based on the matrix and tensor product states (MPSs/TPSs).
We use infinite time-evolving block decimation (iTEBD) method to find the
ground states numerically in the form of MPSs/TPSs, and then evaluate their
entanglement measures by the method of tensor renormalization group (TRG). We
find these entanglement measures can characterize the quantum phase transitions
by their derivative discontinuity right at the critical points in all models
considered here. We also comment on the scaling behaviors of the entanglement
measures by the ideas of quantum state renormalization group transformations.Comment: 22 pages, 11 figure
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