Recent developments towards optimality in multiple hypothesis testing

There are many different notions of optimality even in testing a single hypothesis. In the multiple testing area, the number of possibilities is very much greater. The paper first will describe multiplicity issues that arise in tests involving a single parameter, and will describe a new optimality result in that context. Although the example given is of minimal practical importance, it illustrates the crucial dependence of optimality on the precise specification of the testing problem. The paper then will discuss the types of expanded optimality criteria that are being considered when hypotheses involve multiple parameters, will note a few new optimality results, and will give selected theoretical references relevant to optimality considerations under these expanded criteria.Comment: Published at http://dx.doi.org/10.1214/074921706000000374 in the IMS Lecture Notes--Monograph Series (http://www.imstat.org/publications/lecnotes.htm) by the Institute of Mathematical Statistics (http://www.imstat.org

Closing down the Farm: An Experimental Analysis of Disinvestment Timing

Agrarian structures are often characterized by some kind of economic inertia. It is particularly puzzling why unprofitable farms persist over time instead of being sold. In this paper we analyze the exit decision of farmers using the real options approach. The validity of the real options theory is assessed by means of laboratory experiments. Our results show that real options models are able to predict actual disinvestment decisions better than traditional investment theory. Nevertheless, the observed disinvestment reluctance was even more pronounced as predicted by theory. This finding suggests the inclusion of bounded rationality into normative disinvestment models.Disinvestment, Real Options, Experimental Economics, Agricultural Finance, Farm Management, C91, D81, D92,