Narrow search
Showing 1 - 10 of 95,248
Cover Image
Predicting poverty using geospatial data in Thailand
Puttanapong, Nattapong; Martinez, Arturo M.; Addawe, Mildred - 2020
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 distribution of poverty in Thailand. In particular, geospatial data examined …
Persistent link: https://www.econbiz.de/10012403931
Cover Image
Predicting poverty and malnutrition for targeting, mapping, monitoring, and early warning
McBride, Linden; Barrett, Christopher B.; Browne, … - In: Applied economic perspectives and policy 44 (2022) 2, pp. 879-892
Persistent link: https://www.econbiz.de/10013274051
Cover Image
Constructing spatiotemporal poverty indices from big data
Njuguna, Christopher; McSharry, Patrick E. - In: Journal of business research : JBR 70 (2017), pp. 318-327
Persistent link: https://www.econbiz.de/10011620484
Cover Image
Measurement of the new economy in China : big data approach
Shen, Yan; Shen, Minggao; Chen, Qin - In: China economic journal : the official journal of the … 9 (2016) 3, pp. 304-316
Persistent link: https://www.econbiz.de/10011585465
Cover Image
Optimizing portfolio risk of cryptocurrencies using data-driven risk measures
Bowala, Sulalitha; Singh, Japjeet - In: Journal of risk and financial management : JRFM 15 (2022) 10, pp. 1-16
Portfolio risk management plays an important role in successful investments. Portfolio standard deviation, value-at-risk, expected shortfall, and maximum absolute deviation are widely used portfolio risk measures. However, the existing portfolio risk measures are vulnerable to larger skewness...
Persistent link: https://www.econbiz.de/10013471488
Cover Image
The Billion Prices Project : using online prices for measurement and research
Cavallo, Alberto; Rigobón, Roberto - 2016
Persistent link: https://www.econbiz.de/10011457575
Cover Image
The Measurement and Macro-Relevance of Corruption : A Big Data Approach
Hlatshwayo, Sandile - 2018
Corruption is macro-relevant for many countries, but is often hidden, making measurement of it-and its effects …
Persistent link: https://www.econbiz.de/10012910354
Cover Image
Measured Matters : The Use of 'Big Data' in Employee Benefits
Blakely, Stephen - 2015
Since “big data” is changing so many aspects of the business world, how is it affecting the way health and retirement benefits are provided to private-sector workers? This paper summarizes the presentations and discussion at the Dec. 11, 2014, EBRI policy forum held in Washington, DC, on the...
Persistent link: https://www.econbiz.de/10013023617
Cover Image
Can we measure inflation expectations using Twitter?
Angelico, Cristina; Marcucci, Juri; Miccoli, Marcello; … - 2021
Persistent link: https://www.econbiz.de/10012612964
Cover Image
A Paradigm for Measuring Sustainable Performance Through Big Data Analytics–Artificial Intelligence in Manufacturing Firms
Rashid, Aamir; Rasheed, Rizwana - 2022
measurement model. This study identified that BDA-AI has a significant and positive effect on Environmental Process Integration …
Persistent link: https://www.econbiz.de/10013291868