Browsing by Author "Hansika, S"

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Open Access
Economic uncertainty: a worldwide concern, a causal and cointegrating analysis among high uncertainty countries
(nature.COM, 2025-08-30) Hansika, S; Navamohan, P.; Gamage, D; Madurawala, R; Jayathilaka, R
In the modern world, exploring economic uncertainty and the unpredictability in economic conditions is crucial to determine its impact on day-to-day society. However, existing literature has examined this relationship in a generalised manner, often without focusing on the bi-directional effects among these variables. This study explores the causal and cointegrating interrelationships among economic uncertainty and suicide rates, unemployment rates, economic growth, and trade openness across 30 high uncertainty countries utilising Granger causality test and Cointegration test. Unlike existing studies, which focus on a certain country or region, the current findings disclose bi-directional causation between the measured variables, particularly in Kenya, Finland, Portugal, Latvia, Peru, Haiti, Mexico, Kazakhstan and Kyrgyz Republic. The cointegration tests show that while uncertainty reduces economic growth and trade openness in the long run, in line with contemporary literature, uncertainty also reduces suicide rates and unemployment rates in the long term. By analysing the countries with the highest economic uncertainty, this study aims to provide country-specific policies in line with Sustainable Development Goals (SDGs) developed by United Nations (UN) to navigate the bi-directional effects among economic uncertainty and the linked variables.
Open Access
Global economic uncertainty shocks and macroeconomic dynamics before and after COVID-19: Evidence from Africa and the Americas
(Elsevier Inc., 2026-04-03) Madurawala, R; Navamohan, P; Gamage, D; Hansika, S; Jayathilaka, R
Global economic uncertainty has become a central driver of macroeconomic instability, particularly during large-scale crises like the COVID-19 pandemic. This study examines how global uncertainty shocks affect key macroeconomic variables, particularly suicide rates, economic growth, unemployment, and trade openness across 62 countries in Africa, South America, and North America over the period of 2004–2023 as the countries in these regions exhibit the highest uncertainty post-pandemic. Utilising the COVID-19 pandemic as a natural experiment, the analysis distinguishes between pre- and post-pandemic uncertainty-socioeconomic dynamics to assess the bidirectional and cointegrating relationships across regions. The study employs Multiple Linear Regression to capture short-term macroeconomic responses and panel and country-level cointegration techniques to identify long-run relationships between economic uncertainty and macroeconomic variables. Global uncertainty is proxied using the World Uncertainty Index, which captures broad policy, geopolitical, and crisis-related uncertainty affecting expectations and real economic activity. Unlike, existing studies which reveal insights in a particular region or country, the current findings uncover bi-directional relationships in 21 countries post-pandemic, with notable relationships in Algeria, Botswana, Gabon, Guinea, Madagascar, Republic of Congo, Dominican Republic, Mexico, Bolivia, Paraguay. Moreover, long-run cointegration between uncertainty and macroeconomic indicators strengthens in the post-COVID-19 period, particularly in countries of Africa and North America. By analysing countries in the highest uncertainty regions the study contributes to the international macroeconomics literature by providing new evidence on how global uncertainty shocks reshape macroeconomic dynamics across regions with heterogeneous economic structures, offering important implications for macroeconomic stabilisation in an increasingly uncertain global landscape.