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Articles 1 - 12 of 12
Full-Text Articles in Other Business
Inside Unlv, Diane Russell, Gian Galassi, Richard Jensen
Inside Unlv, Diane Russell, Gian Galassi, Richard Jensen
Inside UNLV
No abstract provided.
Forecasting With A Real-Time Data Set For Macroeconomists, Tom Stark, Dean D. Croushore
Forecasting With A Real-Time Data Set For Macroeconomists, Tom Stark, Dean D. Croushore
Economics Faculty Publications
This paper discusses how forecasts are affected by the use of real-time data rather than latest-available data. The key issue is this: in the literature on developing forecasting models, new models are put together based on the results they yield using the data set available to the model’s developer. But those are not the data that were available to a forecaster in real time.
How much difference does the vintage of the data make for such forecasts? We explore this issue with a variety of exercises designed to answer this question. In particular, we find that the use of real-time …
Asset Prices And Information Traders’ Abilities: Evidence From Experimental Asset Markets, Lucy F. Ackert, Bryan K. Church, Ping Zhang
Asset Prices And Information Traders’ Abilities: Evidence From Experimental Asset Markets, Lucy F. Ackert, Bryan K. Church, Ping Zhang
Faculty and Research Publications
This study reports the results of fifteen experimental asset markets designed to investigate the effects of forecasts on market prices, traders’ abilities to assess asset value, and the link between the two. Across the fifteen markets, the authors investigate alternative forecast-generating processes. In some markets the process produces an unbiased estimate of asset value and in others a biased estimate. The processes generating the biased forecasts, though, are less variable than the process generating the unbiased forecast. The authors find that, in general, periodend asset price reflects private forecasts, regardless of the forecast-generating process. Subsequently, they investigate whether traders’ abilities …
New Product Innovation With Multiple Features And Technology Constraints, Kathy A. Paulson Gjerde, S. A. Slotnick, M. J. Sobel
New Product Innovation With Multiple Features And Technology Constraints, Kathy A. Paulson Gjerde, S. A. Slotnick, M. J. Sobel
Scholarship and Professional Work - Business
We model a firm's decisions about product innovation, focusing on the extent to which features should be improved or changed in the succession of models that comprise a life cycle. We show that the structure of the internal and external environment in which a firm operates suggests when to innovate to the technology frontier. The criterion is maximization of the expected present value of products during the life cycle. Computational studies complement the theoretical results and lead to insights about when to bundle innovations across features. The formalization was influenced by extensive interviews with managers in a high-technology firm that …
Inside Unlv, Diane Russell, Cate Weeks, Betty Biodgett
Inside Unlv, Diane Russell, Cate Weeks, Betty Biodgett
Inside UNLV
No abstract provided.
A Risk/Cost Framework For Logistics Policy Evaluation: Hazardous Waste Management, Kimberly Hollister
A Risk/Cost Framework For Logistics Policy Evaluation: Hazardous Waste Management, Kimberly Hollister
Department of Information Management and Business Analytics Faculty Scholarship and Creative Works
The management of hazardous waste disposal operations is extremely complex involving a multitude of environmental, engineering, economic, social and political concerns. This article proposes a framework to assist policy makers in the evaluation of logistic policies. A spatial general equilibrium based policy evaluation model is developed to calculate risk, cost, and risk equity tradeoff curves. This framework provides policy makers a tool with which they can relate resulting logistics patterns and their associated risk, cost, and equity attributes to original policy goals.
Inside Unlv, Diane Russell, Cate Weeks, Tom Flagg
Dusting Off The Tool Box: Tips For Trainers, Linda Labas, Michael Sandberg
Dusting Off The Tool Box: Tips For Trainers, Linda Labas, Michael Sandberg
Professional Development
This resource provides information to help instructors prepare, conduct, and review their presentations. It is divided into 3 sections. Within each section are subcategories with basic information and some simple resources or activities to assist instructors as they reflect upon their teaching practices and plan for a training event. The material is organized in the following way: Section 1: Things to Know; Section 2: Things to Do; and Section 3: Resources.
2002-2003 Residence Hall Association Committee Minutes, Morehead State University. Housing & Residence Education Office.
2002-2003 Residence Hall Association Committee Minutes, Morehead State University. Housing & Residence Education Office.
Housing & Residence Education Records
Meeting minutes for the Resident Hall Association committees of Morehead State University for 2002 and 2003.
2002-2003 Residence Hall Association Agenda & Minutes, Morehead State University. Housing & Residence Education Office.
2002-2003 Residence Hall Association Agenda & Minutes, Morehead State University. Housing & Residence Education Office.
Housing & Residence Education Records
Agenda and meeting minutes for the Resident Hall Association of Morehead State University for 2002 and 2003.
2002-2003 Residence Halls Association Executive Meeting Minutes, Morehead State University. Housing & Residence Education Office.
2002-2003 Residence Halls Association Executive Meeting Minutes, Morehead State University. Housing & Residence Education Office.
Housing & Residence Education Records
Meeting minutes for the Executive Resident Hall Association of Morehead State University for 2002 and 2003.
Sampling Concepts, Paul Boyd, Ph.D.
Sampling Concepts, Paul Boyd, Ph.D.
MBA Faculty Conference Papers & Journal Articles
The usefulness of any research is dependent upon how well the group studied represents the group about which decisions are to be made or conclusions drawn. That is, it depends upon how well the sample reflects relevant characteristics of the population. When it is possible to study every member of that group there is no problem, for on these occasions we can easily calculate the exact attribute (parameter) of interest for our population.
For example, if we were interested in determining the average number of gallons of gasoline sold to customers at our service station yesterday, we …