Современный кризис: Новые черты и классика жанра.
Using data on foreign borrowing, I identify Russian banks that were affected by the sudden stop of external financing caused by the Lehman Brothers’ collapse. Applying the difference-in-difference method, I compare these «affected» banks to «unaffected» ones and find that the Russian Central Bank’s (CBR) anti-crisis financial assistance primarily went to the former group. Tracing the impact of the CBR’s liquidity infusions on banks’ portfolio allocation decisions, I find that banks used CBR funds not only to pay out foreign debt, but also to accumulate cash deposits in non-resident banks. I also find that affected banks increased their holdings of market securities significantly more than unaffected ones, which suggests that the CBR’s bailout policies impacted their risk-taking strategies. While there was no significant difference in corporate lending growth between the two groups after the sudden stop, lending to borrowers with weaker banking relationships (individuals and entrepreneurs) decreased more among affected banks.
We address the external effects on public sector efficiency measures acquired using Data Envelopment Analysis. We use the health care system in Russian regions in 2011 to evaluate modern approaches to accounting for external effects. We propose a promising method of correcting DEA efficiency measures. Despite the multiple advantages DEA offers, the usage of this approach carries with it a number of methodological difficulties. Accounting for multiple factors of efficiency calls for more complex methods, among which the most promising are DMU clustering and calculating local production possibility frontiers. Using regression models for estimate correction requires further study due to possible systematic errors during estimation. A mixture of data correction and DMU clustering together with multi-stage DEA seems most promising at the moment. Analyzing several stages of transforming society’s resources into social welfare will allow for picking out the weak points in a state agency’s work.