Innovative, new methods are needed to estimate poverty due to the high costs and long time frame of traditional methods.
Art works on poverty measurement theory and Sustainable Development Goals indicators. Before joining ADB, he was a Research Fellow at the University of Queensland in Australia, where he also received his PhD in Social Statistics.
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Collecting sex-disaggregated data on asset ownership is an important step in achieving gender equality and empowerment of women and girls in Asia and the Pacific.
Parental characteristics are not the sole determining factor of one’s future mobility prospects in Asia and the Pacific.
Trade services are a viable alternative to keep low-skilled workers out of poverty in middle-income countries.
A new survey yields insights on the main factors that influence Filipinos’ education investment choices.
Big Data is a great way to sift through the massive amount of information we need to track for the SDGs.
Asian countries need to prepare for the potential demographic tax that accompanies gradual population aging.
Collecting panel data is not cheap, but definitely value for money.