Las hoy denominadas en Colombia pymes de comercio poseen características cuyo peso diferencial está en función del sistema de venta que adopten: venta por mostrador, venta por el sistema de autoservicio o combinación de ambos sistemas. La percepción que tiene el tendero de su negocio con...

This paper develops a large-scale algorithm‑based application to improve the match quality in the labor market. We use comprehensive administrative data on employment biographies in Germany to predict job match quality in terms of job stability and wages. The models are estimated with both...

This paper develops a large-scale algorithm‑based application to improve the match quality in the labor market. We use comprehensive administrative data on employment biographies in Germany to predict job match quality in terms of job stability and wages. The models are estimated with both...

Independent and high-quality evaluations of government policies are an important input for designing evidence-based policy. Lack of incentives and institutions to write such evaluations, on the other hand, carry the risk of turning the system into a costly beauty contest. We study one of the...

Long-term throughput, as a key performance indicator of a stochastic flow line, is affected by numerous parameters describing the features of the flow line, such as processing time and buffer size. Fast and accurate evaluation methods for a given set of values for those parameters are a...

Künstliche Intelligenz (KI) wird bereits vielfältig von Unternehmen und in der Gesellschaft eingesetzt. Auswirkungen auf die Arbeitswelt werden dabei kontrovers diskutiert: Auf der einen Seite stehen mögliche Produktivitätszuwächse durch KI-Anwendungen, auf der anderen Seite die Sorgen der...

Künstliche Intelligenz (KI) wird bereits vielfältig von Unternehmen und in der Gesellschaft eingesetzt. Auswirkungen auf die Arbeitswelt werden dabei kontrovers diskutiert: Auf der einen Seite stehen mögliche Produktivitätszuwächse durch KI-Anwendungen, auf der anderen Seite die Sorgen der...

Echo State Neural Networks (ESN) were applied to forecast the realized variance time series of 19 major stock market indices. Symmetric ESN and asymmetric AESN models were constructed and compared with the benchmark realized variance models HAR and AHAR that approximate the long memory of the...

Forecasting the stock returns in the emerging markets is challenging due to their peculiar characteristics. These markets exhibit linear as well as nonlinear features and Conventional forecasting methods partially succeed in dealing with the nonlinear nature of stock returns. Contrarily,...

Having forecast of real estate sales done correctly is very important for balancing supply and demand in the housing market. However, it is very difficult for housing companies or real estate professionals to determine how many houses they will sell next year. Although this does not mean that a...