Research and Reports
Identifying priority watershed management areas for groundwater recharge protection on Hawai‘i Island
This report provides an analysis of the relative effectiveness of watershed conservation and restoration efforts in terms of groundwater recharge benefits in Hawaiʻi County Department …
Economic Impact of the Natural Energy Laboratory Hawaii Authority Tenant on the State of Hawaii in 2018
NELHA contracted the University of Hawaii Economic Research Organization (UHERO) to estimate its economic impact on the State of Hawaii. To estimate expenditures made by …
Wellbeing and Housing Report Supplement
The goal of this report is to summarize how neighborhood housing price appreciation can impact quality of life beyond individual level impacts (see Love and …
Drivers of well-being in Hawaii: Quantifying individual and community impacts
In Gallup’s annual well-being index, Hawaii occupied the #1 spot among US states for six out of the past 10 years (slipping to #3 in …
Characterizing Hawai‘i’s Natural Resources Management Sector
This report provides an update to the 2015 “Recent Trends in Hawai‘i’s Green Economy: Agriculture, Energy, and Natural Resource Management” publication, the second update since …
Cabotage Sabotage? The Curious Case of the Jones Act
This paper examines the economic implications of the Jones Act, which is a 1920 U.S. cabotage law that restricts domestic waterborne shipments to American vessels. …
Sources and Types of Big Data for Macroeconomic Forecasting
This chapter considers the types of Big Data that have proven useful for macroeconomic forecasting. It first presents the various definitions of Big Data, proposing …
Combinatorial Optimization for Urban Planning: Strategic Demolition of Abandoned Houses in Baltimore, MD
In 2017, Baltimore City was awarded $75 million dollars earmarked for the targeted demolition of a portion of its 16,000 vacant and abandoned buildings. Selecting …
Dynamic Factor Models
Dynamic factor models are parsimonious representations of relationships among time series variables. With the surge in data availability, they have proven to be indispensable in …