BPMN 2.0 Process Model Serialization Constraints
- Correct and standard compliant serializations of BPMN process models are crucial for model exchange between tools, automatic application of academic verification approaches and executability on BPMN engines. The official standard document does not provide an extensive set of all constraints regarding the correctness of model serializations. This technical reports fills this gap by presenting a categorized list of generic, technology independent constraints stated by the standard. Furthermore it is analyzed which rules are already covered when the standardized XSD-based serialization format is used.
Do reservation wages react to regional unemployment?
Up to now,
the connection of regional unemployment with reservation wages has not
been tested, since research
data which were not
and Social Security"
with this data
analysis is based on j
ob matching and efficiency
wage theory which are used to
derive a relationship between unemployment and reservation wages.
A new Name-Based Sampling Method for Migrants using n-grams
- The set of best methods for sampling migrant populations includes
name-based sampling. So far this is done using either ad hoc lists
or onomastic dictionaries for the classification of names. This paper
proposes a new name-based procedure which uses a Bayes-classifier
for the n-grams of the name. The new procedure is fault-tolerant of
alternate spellings, and also allows the classification of names that are
not found in dictionaries. It was tested using the names of about 1.600
foreigners in the PASS panel. Finally, a CATI survey based on the new
method in Hesse (Germany) is described.
Description of the ALWA literacy and numeracy data (ALWA-LiNu)
- This report describes the variables of ALWA-LiNu data. The IAB study ALWA (‘Work-ing and Learning in a Changing World’) was conducted in 2007/08 and contains de-tailed retrospective life course data of 10,404 individuals living in Germany born in between 1956 and 1988. ALWA-LiNu provides information of 3,980 study participants on their cognitive skills in two domains, prose literacy and numeracy.
Literacy and Numeracy Skills – Test Design, Implementation, Scaling and Statistical Models for Proficiency Estimation
- This report describes the skills tests conducted in the face-to-face (PAPI) interview of the IAB
study “Working and Learning in a Changing World” (ALWA). These tests focused on measuring
cognitive skills in two domains, prose literacy and numeracy. The major goal of the ALWA
study, for which the pilot was conducted in 2006/07 and the main survey in 2007/08, was to
provide a database for statistical analyses on the relationships among cognitive competencies,
educational credentials, and employment and working lives in longitudinal perspective.
In the skills tests measurement constructs and items from both the International Adult Literacy
Survey (IALS, 1994-1999) and the Adult Literacy and Life Skills survey (ALL, 2003-2008)
were used. Scaling methods were modeled as well after those used for IALS and ALL
(Yamamoto 1998, Yamamoto & Kirsch 1998). This report has two major goals. First, it describes
the design and implementation of the skills tests in the ALWA study. Second, the
scaling model used for describing the test results is explained, empirical results of scaling the
ALWA skills data are presented, and practical advice how to work with the delivered data (in
the form of plausible values and weights) is given to those users how are no specialists in
handling IRT (Item Response Theory) models.
The Real Versus the Financial Economy: A Global Tale of Stability Versus Volatility
Gender differences in residential mobility : the case of leaving home in East Germany
Liquidity Transformation Factors of Islamic Banks: An Empirical Analysis
Entrepreneurial Literacy: Empirical Evidence
Insider Stock Trading and the Bond Market
Thomas J. Walker