Kwanho Shin
고려대학교 경제학과 · 경제학
Kwanho Shin 교수의 연구실은 동아시아 경제 통합, 무역 및 금융 통합이 경제 사이클, 리스크 공유, 가격 움직임에 미치는 영향을 중심으로 연구를 전개하고 있습니다. 특히 무역 통합이 경기 순환의 공명도에 어떤 영향을 미치는지, 노령화와 인구 구조 변화가 경제 성장과 국제수지에 미치는 영향을 분석하는 데 초점을 맞추고 있습니다. 또한 산업 내·외 수요 충격, 자본 수익률, 노동참여율 등 구조적 요인들이 경제 성장과 실업에 미치는 영향을 고도로 분석합니다.
표시된 성과는 수집된 데이터 기준으로 산출되며, 일부 차이가 있을 수 있습니다.
As trade integration deepens in East Asia, closer links among the business cycles of East Asian countries can be expected. Theoretically, however, increased trade could lead to either closer or looser business cycles across trading partners. This paper seeks to understand how the business cycles of 12 Asian economies have been influenced by increased trade among them. It finds that the increasing trade itself is not necessarily associated with an increased synchronization of their business cycle
In this paper we explore three important areas where deeper trade and financial integration in East Asia can influence: (1) business cycle co‐movements in the region, (2) the extent of risk sharing across countries and (3) price co‐movements across countries. We find evidence that trade integration enhances co‐movements of output but not of consumption across countries. Especially the fact that trade integration does not raise co‐movements of consumption as much as that of output is interpreted
Intersectoral shocks require resource reallocation across sectors while intrasectoral shocks require resource reallocation within sectors. A crucial difference between these shocks is that the former require much higher adjustment costs than the latter. Using accounting data to calculate returns on capital in manufacturing industries, I generate proxies for these shocks. I find that the magnitude of intrasectoral shocks is much greater than that of intersectoral shocks but intersectoral shocks e
Abstract In this paper, we investigate six channels through which population aging affects output growth per capita of 35 OECD countries where the old dependency ratio is already quite high. The six channels we consider are changes in: (i) physical capital; (ii) human capital; (iii) average working hours; (iv) labor participation rate; (v) age composition of 15–64 (the share of population aged between 15 and 64 years; and (vi) total factor productivity (TFP). We first confirm findings from previ