Although disparate in nature and spread across different academic disciplines, there have been countless studies exploring the determinants of economic and social development at the macro-level. Recent advances in international data consolidation offer an enticing opportunity to revisit the often contested conclusions in these different literatures and test discordant high-middle/low income cases in more encompassing pooled time-series cross-section (TSCS) regression specifications. Building on Ostry et al.'s (2014) high-profile IMF staff discussion note on the effect of inequality and redistribution on economic growth spells in 50+ countries (1975-2010), this paper explores whether such research designs can sensibly be combined with fuzzy set analysis to identify typical and deviant cases in Asia for further in-depth study. Thereby, it adds to a small but growing literature which aims to systematically combine the strengths of both pooled TSCS regression and fuzzy set analysis rather than focusing on oft-quoted epistemological and ontological divisions between these research techniques.
|Publication status||Published - 2 Jul 2016|
|Event||13th EASP Annual Conference: Social Policy and Gender in East Asia - Ewha Womans University, Seoul, Korea, Republic of|
Duration: 1 Jul 2016 → 2 Jul 2016
|Conference||13th EASP Annual Conference|
|Country/Territory||Korea, Republic of|
|Period||1/07/16 → 2/07/16|