Toward standardization in socioeconomic modeling: Concepts for the second generation of modeling tools

Standardization in modeling is understood here as a strategic process to improve the transfer of models and modeling know-how, to diminish the gap between model builders and model users, and to make the art of modeling an honorable science on a consolidated basis. Within the wide spectrum of standardization efforts, this paper reflects on a general approach for an improvement of model transfer, based on technical concepts for the next generation of software tools. These tools will be developed for large-scale modeling activities. Three formal software concepts to meet these needs are discussed: modularization, software interfaces, and integrated modeling systems. Although modularization is understood here as a concept characterizing the transferable good (the models), the other two concepts refer to output (or input) characteristics of the modeling tools and to their performance requirements. Some remarks on implementation of technical standards are added.     

Preparing Graduate Students in Economics for Teaching: Survey Findings and Recommendations

Survey data from PhD-granting economics departments are used to assess the teaching preparation of graduate students in economics. The results show that relatively few departments require graduate student instructors to take a credit course in teaching before teaching their own course or leading a recitation section. Although more graduate student instructors are required to take a noncredit course in teaching before serving as an instructor or recitation leader, the value of such noncredit courses may be limited. The assessment of teaching preparation by department chairs shows mixed responses, with about three-fifths rating it as very good or good and about two-fifths considering it to be only adequate or poor. Recommendations are offered for improving the teaching preparation of graduate student instructors in economics.     

The existence of sampling designs with preassigned inclusion probabilities

Summary The question of the existence of a sampling design realizing given preassigned inclusion probabilities is treated. The question can be fully answered in the case of inclusion probabilities of first order. If the inclusion probabilities of second order are given it is shown why necessary and sufficient conditions for the existence of a corresponding sampling design can be derived only in very special cases.     

Quantum Theory and Social Economics:

A bstract . The holistic approach of quantum theory is investigated as a tool for social economists to analyze and to interpret socioeconomic reality and paradigms. The link between quantum theory and the social economist's approach to socioeconomic reality, i.e. , the "what is," rests on the premise that each element of the socioeconomic universe relates to the whole system and vice versa. In other words, the meaning of each part is to be found in its implicit reflection of the whole of reality; it has no meaning exclusive of the whole. In terms of quantum theory, investigations of microeconomic processes are interwoven with the macroeconomic frame of reference of the observer. The very act of observation is to be considered as an integral part of the observed system.     

A minimax property of Lahiri-Midzuno-Sen’s sampling scheme

We consider parameter spaces which are generalizations of spaces discussed so far in connection with minimax strategies. We give a lower bound for the minimax value and derive, under weak assumptions, minimax strategies consisting of the expansion estimator and an appropriate design. This design is of the Lahiri-Midzuno-Sen type for an important subclass of parameter spaces.