This publication's aim is to celebrate the 100th issue of Statistics in Transition new series and the 30th anniversary of the launch of the journal. The book features several 'special issues' of Statistics in Transition new series focusing on specific topics of current research interest released...

Introduction -- Concept and Measurement of IOp -- Decomposition of Inequality of Opportunity -- Predicting Poverty with Machine Learning and Geospatial Data -- Inequality of Opportunity in Education -- Inequality of Opportunity in Health Care Services -- Conclusion and Way Forward.

We introduce a new methodology to detect and measure economic activity using geospatial data and apply it to steel production, a major industrial pollution source worldwide. Combining plant output data with geospatial data, such as ambient air pollutants, nighttime lights, and temperature, we...

In this article, we analyze competition for agricultural land as an important, scarce and immobile input. The cost of cultivating a parcel of land depends strongly on the distance from the farmer to the plot, leading to spatially small land markets. To investigate this issue, we are able to use...

Historical city directories are rich sources of micro-geographic data. They provide information on the location of households and firms and their occupations and industries, respectively. We develop a generic algorithmic work flow that converts scans of them into geo- and status-referenced...