Tariff-Mediated Network Effects versus Strategic Discounting: Evidence from German Mobile Telecommunications

Mobile telecommunication operators routinely charge subscribers lower prices for calls on their own network than for calls to other networks (on-net discounts). Studies on tariff-mediated network effects suggest this is due to large operators using on-net discounts to damage smaller rivals. Alternatively, research on strategic discounting suggests small operators use on-net discounts to advertise with low on-net prices. We test the relative strength of these effects using data on tariff setting in German mobile telecommunications between 2001 and 2009. We find that large operators are more likely to offer tariffs with on-net discounts but there is no consistently significant difference in the magnitude of discounts. Our results suggest that tariff-mediated network effects are the main cause of on-net discounts

Ensuring that All Workers Benefit in an Economic Recovery: Transitional Jobs for the Hardest to Employ

The National Transitional Jobs Network (NTJN) recommends that as part of an economic recovery package, the new administration and Congress support a two-year federal investment in Transitional Jobs programs equal to $400 million dollars

The topology of the federal funds market

We explore the network topology of the federal funds market. This market is important for distributing liquidity throughout the financial system and for the implementation of monetary policy. The recent turmoil in global financial markets underscores its importance. We find that the network is sparse, exhibits the small world phenomenon and is disassortative. Reciprocity tracks the federal funds rate and centrality measures are useful predictors of the interest rate of a loan. JEL Classification: E4, E58, E59, G1interbank, money market, network, topology

Coming Out of Crisis: Patient Experiences in Primary Care in New Orleans, Four Years Post-Katrina

Examines the network of neighborhood clinics funded with federal, state, and local money that emerged after Hurricane Katrina as a model for serving vulnerable populations. Looks at access, communication, chronic illnesses management, and preventive care

MP 2008-06

SNAP is a collaborative network that includes the University of Alaska, state, federal, and local agencies, NGO’s, and industry partners. The SNAP network provides timely access to scenarios of future conditions in Alaska for more effective planning by communities, industry, and land managers. We meet stakeholders’ requests for specific information by applying new or existing research results, integrating and analyzing data, and communicating information and assumptions to stakeholders. Our goal is to assist in informed decision-making

Plan Management: Issues for State, Partnership and Federally Facilitated Health Insurance Exchanges

Examines the state's plan management function of insurance exchanges under federal healthcare reform, including overseeing the licensing and solvency of plans, network adequacy, benefit and rate review, marketing and regulation, quality improvement

Zooming into daily life : Within-person associations between physical activity and affect in young adults

Funding The first author was funded by the LEAD Graduate School & Research Network [GSC1028], a project of the Excellence Initiative of the German federal and state governments. Acknowledgements We thank Laura Grube, Leona Hellwig, Parvin Nemati, and Sarah Schmid for their study assistance and all the individuals who participated and made this research feasible.Peer reviewedPostprin

Development of accident prediction model by using artificial neural network (ANN)

Statistical or crash prediction model have frequently been used in highway safety studies. They can be used in identify major contributing factors or establish relationship between crashes and explanatory accident variables. The measurements to prevent accident are from the speed reduction, widening the roads, speed enforcement, or construct the road divider, or other else. Therefore, the purpose of this study is to develop an accident prediction model at federal road FT 050 Batu Pahat to Kluang. The study process involves the identification of accident blackspot locations, establishment of general patterns of accident, analysis of the factors involved, site studies, and development of accident prediction model using Artificial Neural Network (ANN) applied software which named NeuroShell2. The significant of the variables that are selected from these accident factors are checked to ensure the developed model can give a good prediction results. The performance of neural network is evaluated by using the Mean Absolute Percentage Error (MAPE). The study result showed that the best neural network for accident prediction model at federal road FT 050 is 4-10-1 with 0.1 learning rate and 0.2 momentum rate. This network model contains the lowest value of MAPE and highest value of linear correlation, r which is 0.8986. This study has established the accident point weightage as the rank of the blackspot section by kilometer along the FT 050 road (km 1 – km 103). Several main accident factors also have been determined along this road, and after all the data gained, it has successfully analyzed by using artificial neural network

Approximating Mexican highways with slime mould

Plasmodium of Physarum polycephalum is a single cell visible by unaided eye. During its foraging behavior the cell spans spatially distributed sources of nutrients with a protoplasmic network. Geometrical structure of the protoplasmic networks allows the plasmodium to optimize transport of nutrients between remote parts of its body. Assuming major Mexican cities are sources of nutrients how much structure of Physarum protoplasmic network correspond to structure of Mexican Federal highway network? To find an answer undertook a series of laboratory experiments with living Physarum polycephalum. We represent geographical locations of major cities by oat flakes, place a piece of plasmodium in Mexico city area, record the plasmodium's foraging behavior and extract topology of nutrient transport networks. Results of our experiments show that the protoplasmic network formed by Physarum is isomorphic, subject to limitations imposed, to a network of principle highways. Ideas and results of the paper may contribute towards future developments in bio-inspired road planning

Transportation network companies as cost reduction strategies for paratransit

Paratransit service is an auxiliary type of public transportation provided for people with disabilities and older adults. Federal ADA regulations require all transit agencies receiving federal funding to provide paratransit service, but the per trip cost to transit operators is extremely expensive. Many transit agencies are looking for ways to reduce costs without limiting services. For many agencies, this results in providing the minimum services as required by ADA regulations. However, Boston’s Massachusetts Bay Transit Authority (MBTA) has taken a different approach to cost reduction by entering into one of the first partnerships with transportation network companies. In September 2016, MBTA’s paratransit service, The Ride, began a partnership with both Uber and Lyft as a cost reduction strategy for paratransit provision. Since the beginning of the partnership, MBTA has been able to reduce costs of providing paratransit while maintaining the same level of service. This report will examine the benefits and limitations of such partnerships between transit agencies and transportation network companies, using MBTA’s The Ride partnership as an example for potentially successful partnerships throughout the United States.Community and Regional Plannin