Identifying Sorting in Practice

Identifying Sorting in Practice,∗

Eeckhout and Kircher (2009) argue that using wage data alone, it is virtually impossible to identify whether assortative matching between worker and firm types is positive or negative. This paper proposes to use workers mobility to identify the sign assortative matching. In order to understand the nature of sorting, we directly analyze the matching process between firms and workers. In the abse...

Identifying sorting: in theory

Identifying Sorting: In Theory We argue that using wage data alone, it is virtually impossible to identify whether Assortative Matching between worker and firm types is positive or negative. In standard competitive matching models the wages are determined by the marginal contribution of a worker, and the marginal contribution might be higher or lower for low productivity firms depending on the ...

A method for identifying software components based on Non-dominated Sorting Genetic Algorithm

Identifying the appropriate software components in the software design phase is a vital task in the field of software engineering and is considered as an important way to increase the software maintenance capability. Nowadays, many methods for identifying components such as graph partitioning and clustering are presented, but most of these methods are based on expert opinion and have poor accur...

Card Sorting for Cartographic Research and Practice

In this article, we describe the potential utility of the card sorting method for structuring and refining large map symbol sets. Simply defined, card sorting requires that participants organize a set of items (i.e., cards) into categories according to some characteristic(s) of the cards (i.e., the sorting criterion). Card sorting has been proposed as a method for delineating categories by rese...

Identifying Knowledge Flows in Communities of Practice