Skills and Vacancy Analysis with Data Mining Techniques

Through recognizing the importance of a qualified workforce, skills research has become one of the focal points in economics, sociology, and education. Great effort is dedicated to analyzing labor demand and supply, and actions are taken at many levels to match one with the other. In this work we concentrate on skills needs, a dynamic variable dependent on many aspects such as geography, time, or the type of industry. Historically, skills in demand were easy to evaluate since transitions in that area were fairly slow, gradual, and easy to adjust to. In contrast, current changes are occurring rapidly and might take an unexpected turn. Therefore, we introduce a relatively simple yet effective method of monitoring skills needs straight from the source—as expressed by potential employers in their job advertisements. We employ open source tools such as RapidMiner and R as well as easily accessible online vacancy data. We demonstrate selected techniques, namely classification with k-NN and information extraction from a textual dataset, to determine effective ways of discovering knowledge from a given collection of vacancies

Skills and Vacancy Analysis with Data Mining Techniques

Through recognizing the importance of a qualified workforce, skills research has become one of the focal points in economics, sociology, and education. Great effort is dedicated to analyzing labor demand and supply, and actions are taken at many levels to match one with the other. In this work we concentrate on skills needs, a dynamic variable dependent on many aspects such as geography, time, or the type of industry. Historically, skills in demand were easy to evaluate since transitions in that area were fairly slow, gradual, and easy to adjust to. In contrast, current changes are occurring rapidly and might take an unexpected turn. Therefore, we introduce a relatively simple yet effective method of monitoring skills needs straight from the source—as expressed by potential employers in their job advertisements. We employ open source tools such as RapidMiner and R as well as easily accessible online vacancy data. We demonstrate selected techniques, namely classification with k-NN and information extraction from a textual dataset, to determine effective ways of discovering knowledge from a given collection of vacancies

Gender Preferences in Central and Eastern Europe as Reflected in Partnership and Fertility Outcomes

The decisions of parents following the birth of their first child concerning subsequent fertility, and the stability of their relationship can be used as a reflection of broader gender preferences. We study these decisions to identify gender preferences in six Central and Eastern European countries, which vary with respect to their current political and economic conditions, but share a common experience of past communist rule. Using subsamples of census data collected in the IPUMS-International inventory around 2000 and 2010, we examine the effect of the gender of the first-born child(ren) on the fertility and relationship stability of their parents. Only in the case of Romania do our results consistently point towards boy preferences, while in Russia boy preferences can be detected in families with two or more children. Importantly, in four out of six countries (Belarus, Poland, Russia and Ukraine) parents are more likely to have a second child if the first-born was a boy, indicating girl preferences. These preferences could be interpreted as a reflection of concern regarding future care support for parents

Parental gender preferences in Central and Eastern Europe and differential early life disadvantages

Parental gender preferences may affect partnership decisions and as a result lead to early life disadvantages. We study these preferences in five post‐communist countries of Central and Eastern Europe, a region with strong traditional gender norms and persisting inequalities between women and men in labour market outcomes. Using subsamples of census from Belarus, Hungary, Poland, Romania and Russia around 2000 and 2010, we follow Dahl and Moretti (2008), The demand for sons, to examine the effect of the gender of the first‐born child(ren) on fertility decisions and relationship stability of their parents. We only find strong evidence of ‘boy preferences’ in fertility decisions in the cases of Romania and Russia. However, unlike Dahl and Moretti (2008), The demand for sons, for the US, we cannot confirm a relationship between the children's gender and parental partnership decisions. This is the case for all examined Central and Eastern European countries, as well as for a number of countries from Western Europe. The cases of Romania and Russia raise questions about other potential consequences of the documented gender preferences. We argue that our approach can be applied more broadly to identify other countries characterised by parental gender preferences, and to motivate further examination of different forms of gender driven early life disadvantages

Business Intelligence and Data Mining to Support Sales in Retail

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