The authors estimate the marginal willingness to pay (WTP) for improved electricity service reliability in a nationally representative sample 1,047 grid or mini-grid connected households in Sierra Leone, using two complementary valuation approaches. Analyzing data from a discrete choice experiment, they find that, on average, households exhibit strong preferences for shorter outages; fewer daytime and evening outages, compared to nighttime outages; and prior notification, though there is heterogeneity in the relative weights ascribed to each of these attributes.

Reliable electricity is the foundation of modern economies and essential to social and human development. Without it, firms cannot expand, hospitals cannot operate safely, and households hesitate to invest in appliances and tools that improve daily life. It is reliability—not just connection—that unlocks the full promise of access: delivering jobs, growth, and opportunity. Yet across low- and middle-income countries (LMICs), ensuring electricity reliability has proven to be one of the most intractable energy systems challenges.

This study investigates the impact of elected politicians geographical representation on distributive decisions in a solar energy safety net program in Northern Bangladesh. Using a unique dataset on solar home system installations and political leaders’ biographies, we find strong evidence of political capture in the form of birthplace favoritism, leading to an uneven distribution of solar home systems among villages. Heterogeneous voting power within a rural council further amplifies political capture at the local level.

This study focuses on assessing willingness to pay (WtP) for electricity among households and businesses—both those already connected to the grid but coping with unreliable supply, and those who are expected to gain access through future grid expansion or densification. This work provides a comprehensive valuation of the benefits of both new electricity connections and enhanced reliability for current users, as well as a rich dataset on energy use, perceptions, and expenditures in the study area that could be used for policymaking or future research.