Abstract
This study fills the void because no specific research on fiscal stimulus using bibliometric analysis in the last decade has been conducted. This study aims to identify trends in fiscal stimulus that can be useful as a decision-making support tool in setting future research priorities (Mejia et al., 2021). This research method adopts Garza and Reyes’s (2015) five-step bibliometric analysis phase: determining search keywords, initializing search results, refining search results, compiling initial data statistics, and analyzing data. Based on the research results, at the initial results stage, 779 datasets were obtained from the Scopus database, reduced to produce 578 data and visualized using VOSviewer. This study lists research trends, active journal publishers, prolific writers, the most active nations and institutions and the most important scientific fields. Based on the distinctive relationships of groups of keywords within clusters, cluster analysis identifies the primary study subjects in fiscal stimulus. The authors conclude that the research areas based on keyword analysis that rarely occur as future study topics related to fiscal stimulus are climate change, multiplier, lockdown and H30 (fiscal policy and behavior of general economic actors), and the liquidity trap.