Poverty statistics are conventionally compiled using data from household income and expenditure survey or living standards survey. This study examines an alternative approach in estimating poverty by investigating whether readily available geospatial data can accurately predict the spatial...

Introduction: Use of EHR data for scientific discoveries-challenges and opportunities / Hulin Wu -- EHR project management / Yashar Talebi and Ashraf Yaseen -- EHR databases and data management : data query and extraction / Gen Zhu, Vi K. Ly, Michael Gonzalez, Leqing Wu, Hulin Wu, and Ashraf...

In this work, we rely on unconventional data sources to nowcast the year-on-year growth rate of Finnish indus-trial production, for different industries. As predictors, we use real-time truck traffic volumes measured automatically in different geographical locations around Finland, as well as...

Intro -- Half Title -- Series Page -- Title Page -- Copyright Page -- Contents -- Preface -- About the Editors -- Contributors -- 1. Introduction: Use of EHR Data for Scientific Discoveries--Challenges and Opportunities -- 1.1. Real-World Data and Real-World Evidence: Big Data in Practice --...

This paper reviews the use of big data in Asian central banks, leveraging on a survey conducted among the members of the Irving Fisher Committee. The analysis reveals four main insights. First, Asian central banks define big data in a more encompassing way that includes unstructured...