variables. This study draws on conflict variables from the Correlates of War (COW) project to ask a critical question: How do … different types of conflict affect country growth rates? It finds that wars slow the economy. Estimates indicate that civil war …

focused on the other direction. We use cross-country panel data for the time period 1960-2005 to estimate war-related changes … in income inequality. Our results indicate rising levels of inequality during war and especially in the early period of … post-war reconstruction. However, we find that this rise in income inequality is not permanent. While inequality peaks …

focus on World Bank's Living Standard Measurement Surveys (LSMS), and propose suggestions on how to improve questionnaires …

COW and the UCDP/PRIO for conflicts and the Penn World Tables and the World Development Indicators for socioeconomic data …

We investigate the predictability of both volatility and volume for a large sample of Japanese stocks. The particular … practically always improves upon the na?ve forecast provided by historical volatility. As a somewhat surprising result, we also …

Bayesian forecasting of volatility. However, applicability of MLE is restricted to cases with a discrete distribution of … volatility components. From a practical point of view, ML also becomes computationally unfeasible for large numbers of components … forecasts which in principle is applicable for any continuous distribution with any number of volatility components. Monte Carlo …

We investigate the predictability of both volatility and volume for a large sample of Japanese stocks. The particular … practically always improves upon the na?ve forecast provided by historical volatility. As a somewhat surprising result, we also …

forecasting of volatility. However, applicability of MLE is restricted to cases with a discrete distribution of volatility … which in principle is applicable for any continuous distribution with any number of volatility components. Monte Carlo … linear compared to optimal forecasts is small. Extending the number of volatility components beyond what is feasible with MLE …