Several countries in Central, Eastern, and Southeastern Europe used a rich set of prudential instruments during the recent credit and housing boom and bust cycles. We construct a comprehensive database of these policy measures covering 16 countries at a quarterly frequency. We use this database to investigate whether the policy measures had an impact on housing price inflation. The measures that appeared to be effective were capital measures (minimum capital adequacy ratio, maximum ratio of lending to households to share capital) and nonstandard liquidity measures (marginal reserve requirements (MRRs) on foreign funding, MRRs linked to credit growth).JEL codes: E44, E52, G21
We examine the contribution of human capital to economy-wide technological improvements through the two channels of innovation and imitation. We develop a theoretical model showing that skilled labor has a higher growth-enhancing effect closer to the technological frontier under the reasonable assumption that innovation is a relatively more skill-intensive activity than imitation. Also, we provide evidence in favor of this prediction using a panel dataset covering 19 OECD countries between 1960 and 2000 and explain why previous empirical research had found no positive relationship between initial schooling level and subsequent growth in rich countries. In particular, we show that in OECD economies it is crucial to isolate the two separate margins of primary/secondary and ter-tiary education. Interestingly, the latter type of schooling proves to be a factor of economic divergence. * JEL No: I20, O30, O40.
Countries in Central, Eastern, and Southeastern Europe (CESEE) experienced a credit boombust cycle in the last decade. This paper analyzes the roles of demand and supply factors in explaining this credit cycle. Our analysis first focuses on a large sample of bank-level data on credit growth for the entire CESEE region. We complement this analysis by five case studies (Latvia, Lithuania, Montenegro, Poland, and Romania). Our results of the panel data analysis indicate that supply factors, on average and relative to demand factors, gained in importance in explaining credit growth in the post-crisis period. In the case studies, we find a similar result for Lithuania and Montenegro, but the other three case studies point to the fact that country experiences were heterogeneous.
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