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Project Citation: 

Liang, Ming-Yih. Replication data for: Confucianism and the East Asian Miracle. Nashville, TN: American Economic Association [publisher], 2010. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2019-10-12. https://doi.org/10.3886/E114178V1

Project Description

Summary:  View help for Summary We examine two behavioral traits essential to Confucianism, and put forward hypotheses as to whether these behavioral traits impede or are conducive to "leading" or "follower" mode growth. A dynamic leader-follower general equilibrium model with appropriately specified "Confucian" parameters is shown to generate results that correspond to some of the main features of East Asian economies: their miracle growths, subsequent slowdowns, trade surpluses, and persistent accumulations of foreign exchange reserves. We calibrate the model to assess the quantitative importance of these cultural effects and examine their implications for future evolution of these economies. (JEL E23, O17, O41, O47, P24, Z12, Z13)

Scope of Project

Subject Terms:  View help for Subject Terms East Asian Miracle Growth; Confucianism
JEL Classification:  View help for JEL Classification
      E23 Macroeconomics: Production
      O17 Formal and Informal Sectors; Shadow Economy; Institutional Arrangements
      O41 One, Two, and Multisector Growth Models
      O47 Empirical Studies of Economic Growth; Aggregate Productivity; Cross-Country Output Convergence
      P24 Socialist Systems and Transitional Economies: National Income, Product, and Expenditure; Money; Inflation
      Z12 Cultural Economics: Religion
      Z13 Economic Sociology; Economic Anthropology; Language; Social and Economic Stratification
Geographic Coverage:  View help for Geographic Coverage China, Taiwan, East Asia, Korea, the Four Tigers
Time Period(s):  View help for Time Period(s) 1953 – 2014
Universe:  View help for Universe China, Taiwan, Singapore, Hong Kong, South Korea, Japan
Data Type(s):  View help for Data Type(s) text; aggregate data
Collection Notes:  View help for Collection Notes Mathematical Simulation


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