This Article describes the policies advanced by housing programs and shows where tension between the policies and programs exists. This Articles also attempts to organize and clarify the relationships among various goals of subsidized housing policy and the elements of programs adopted to meet them. The Article then proceeds by detailing eight possible objectives of subsidized housing and consi...

For more information about the Center and its publications, please contact the RUPRI Center for Rural Health Policy Analysis, 984350 Nebraska Medical Center, Omaha, NE 68198-4350. (402) 559-5260. http://www.rupri.org/healthpolicy The Rural Policy Brief series is published by the Rural Policy Research Institute (RUPRI) for the RUPRI Center for Rural Health Policy Analysis. RUPRI provides objecti...

When a transition probability matrix is represented as the product of two stochastic matrices, one can swap the factors of the multiplication to obtain another transition matrix that retains some fundamental characteristics of the original. Since the derived matrix can be much smaller than its precursor, this property can be exploited to create a compact version of a Markov decision process (MD...

The sensitivity analysis for multi-attribute decision making (MADM) problems is important for two reasons: First, the decision matrix as the source of the results of a decision problem is inaccurate because it sorts the alternatives in each criterion inaccurately. Second, the decision maker may change his opinions in a time period because of changes in the importance of the criteria and in the ...

Socio-economic scenarios constitute an important tool for exploring the long-term consequences of anthropogenic climate change and available response options. They have been applied for different purposes and to a different degree in various areas of climate change analysis, typically in combination with projections of future climate change. Integrated assessment modeling (IAM) has used them to...

With the advent of Kearns & Singh’s (2000) rigorous upper bound on the error of temporal difference estimators, we derive the first rigorous error bound for the maximum likelihood policy evaluation method as well as deriving a Monte Carlo matrix inversion policy evaluation error bound. We provide, the first direct comparison between the error bounds of the maximum likelihood (ML), Monte Carlo m...

Policy makers often confront with the following problem: how best their organization can repeatedly interact with other organizations such that the long-term utility of their organization can be maximized? This problem is difficult because policy makers usually know very little about other organizations, and therefore they cannot make perfect predictions about the other organizations’ behaviors...

explaining dividend policy has been one of the most difficult challenges facing financial economists. despite decades of study, we have yet to completely understand the factors that influence dividend policy and the manner in which these factors interact.the aim of this paper is to examine the relation between dividend policy and share price volatility in tehran stock exchange (tse). the analys...

Policy makers often confront with the following problem: how best their organization can repeatedly interact with other organizations such that the long-term utility of their organization can be maximized? This problem is difficult because policy makers usually know very little about other organizations, and therefore they cannot make perfect predictions about the other organizations’ behaviors...