We exploit regional variation in the availability of breast cancer screening policies and variations in age eligibility criteria across European regions to estimate the causal effect of home invitation on mammography uptake. We link administrative public data about regional breast cancer...

We exploit regional variation in the availability of breast cancer screening policies and variations in age eligibility criteria across European regions to estimate the causal effect of home invitation on mammography uptake. We link administrative public data about regional breast cancer...

The present paper introduces results of an analysis conducted on data collected from Khartoum state for the year 2009. It aims to apply statistical models for the HIV/AIDS data in Khartoum state centers of testing blood and counseling. AIDS is recognized as an emerging disease only in the early...

This paper analyses possible options how to improve the risk adjustment of the health insurance system in the Czech Republic. From the possible options it argues for including pharmaceutical cost groups (PCGs) as additional risk factors since it is an improvement that can be implemented almost...

We exploit regional variation in the availability of breast cancer screening policies and variations in age eligibility criteria across European regions to estimate the causal effect of home invitation on mammography uptake. We link administrative public data about regional breast cancer...

This paper analyses possible options how to improve the risk adjustment of the health insurance system in the Czech Republic. Out of possible options it argues for including Pharmaceutical Cost Groups (PCGs) as additional risk factors since it is an improvement that can be implemented almost...

A conspicuous lacuna in the literature on Sub-Saharan Africa (SSA) is the lack of clarity on variables key for driving and predicting inclusive growth. To address this, I train the machine learning algorithms for the Standard lasso, the Minimum Schwarz Bayesian Information Criterion (Minimum...

This research highlights the role played by the media in the inflation expectations formation process of different types of respondents in Ukraine. Using a large news corpus and machine learning techniques I constructed news-based measures transforming text into quantitative indicators, which...

This paper develops a large-scale application to improve the labour market matching process with model- and algorithm-based statistical methods. We use comprehensive administrative data on employment biographies covering individual and job-related information of workers in Germany. We estimate...

Using a unique dataset of 22.5 million news articles from the Dow Jones Newswires Archive, we perform an in depth real-time out-of-sample forecasting comparison study with one of the most widely used data sets in the newer forecasting literature, namely the FRED-MD dataset. Focusing on U.S. GDP,...