This paper introduces a new data set on the stock and structure of domestic debt in 36 low-income countries over the period 1971-2011. It characterizes the recent trends regarding the do-mestic public debt of low-income countries and explores the relevance of different arguments put forward on...

This paper introduces a new dataset on the stock and structure of domestic debt in 36 Low-Income Countries over the period 1971-2011. We characterize the recent trends regarding LICs domestic public debt and explore the relevance of different arguments put forward on the benefits and costs of...

This paper uses the propensity matching score approach to assess the impact of the IMF’s debt limits policy (DLP) on borrowing behavior in countries eligible to borrow from its concessional lending window. The paper finds that countries under the DLP borrow significantly higher amounts of...

This paper introduces a new data set on the stock and structure of domestic debt in 36 low-income countries over the period 1971-2011. It characterizes the recent trends regarding the do-mestic public debt of low-income countries and explores the relevance of different arguments put forward on...

We investigate the latent volatility structures of the fluctuations in the US business cycle and stock market valuations. The technical novelty of this work lies in the estimation of a Markov-switching stochastic-volatility model that allows for Bayesian sequential evaluation on both the...

Estimate the impact of public debt on productivity and investments Empirical analysis, panel data, threshold models Debt impacts negatively on the determinants of growth There is evidence of asymmetric effects

We explore the time variation of factor loadings and abnormal returns in the context of a four-factor model. Our methodology, based on an application of the Kalman filter and on endogenous uncertainty, overcomes several limitations of competing approaches used in the literature. Besides taking...

This paper considers an environment where investors have limited knowledge of true systematic risks and therefore continuously re-estimate the forecasting model that they use to form expectations. Based on a parsimonious specification with learning and no conditioning information, I extract...