1 citations · 1 across the 6 of their papers we have counts for
5 papers · 1 filter
Technology Speed Limits
Andrew Koh, Sivakorn Sanguanmoo
We study optimal technology regulation when private learning occurs both through doing (scaling up the technology) and through waiting (as time passes). We show that an adaptive sp…
Informational Puts
Andrew Koh, Sivakorn Sanguanmoo, Kei Uzui
We analyze how dynamic information should be provided to uniquely implement the largest equilibrium in binary-action coordination games. The designer offers an informational put: s…
Robust Technology Regulation
Andrew Koh, Sivakorn Sanguanmoo
We analyze how uncertain technologies should be robustly regulated and how regulation should evolve with new information. An adaptive sandbox comprising a zero marginal tax up to a…
Persuasion and Optimal Stopping
Andrew Koh, Sivakorn Sanguanmoo, Weijie Zhong
We develop a duality-based first-order approach to dynamic persuasion in optimal stopping problems with general action-, state-, and time-dependent preferences. A direct-communicat…
Attention Capture
Andrew Koh, Sivakorn Sanguanmoo
We develop a unified analysis of how information captures attention. A decision maker (DM) faces a dynamic information structure and decides when to stop paying attention. We chara…