Danilo Leiva-Leon - Latest

• Monetary Policy Independence and the Strength of the Global Financial Cycle

  Staff Working Paper 2020-25 Christian Friedrich, Pierre Guérin, Danilo Leiva-Leon

  We propose a new strength measure of the global financial cycle by estimating a regime-switching factor model on cross-border equity flows for 61 countries. We then assess how the strength of the global financial cycle affects monetary policy independence, which is defined as the response of central banks' policy interest rates to exogenous changes in inflation.

  Content Type(s): Staff research, Staff working papers Topic(s): Business fluctuations and cycles, Exchange rate regimes, Financial system regulation and policies, International financial markets, Monetary policy JEL Code(s): E, E4, E5, F, F3, F32, F4, F42, G, G1, G15, G18

• Endogenous Time Variation in Vector Autoregressions

  Staff Working Paper 2020-16 Danilo Leiva-Leon, Luis Uzeda

  We introduce a new class of time-varying parameter vector autoregressions (TVP-VARs) where the identified structural innovations are allowed to influence — contemporaneously and with a lag — the dynamics of the intercept and autoregressive coefficients in these models.

  Content Type(s): Staff research, Staff working papers Topic(s): Econometric and statistical methods, Inflation and prices, Monetary policy transmission JEL Code(s): C, C1, C11, C3, C32, E, E3, E31, E5, E52

• Markov‐Switching Three‐Pass Regression Filter

  Staff Working Paper 2017-13 Pierre Guérin, Danilo Leiva-Leon, Massimiliano Marcellino

  We introduce a new approach for the estimation of high-dimensional factor models with regime-switching factor loadings by extending the linear three-pass regression filter to settings where parameters can vary according to Markov processes.

  Content Type(s): Staff research, Staff working papers Topic(s): Econometric and statistical methods JEL Code(s): C, C2, C22, C23, C5, C53

• Model Averaging in Markov-Switching Models: Predicting National Recessions with Regional Data

  Staff Working Paper 2015-24 Pierre Guérin, Danilo Leiva-Leon

  This paper introduces new weighting schemes for model averaging when one is interested in combining discrete forecasts from competing Markov-switching models. In particular, we extend two existing classes of combination schemes – Bayesian (static) model averaging and dynamic model averaging – so as to explicitly reflect the objective of forecasting a discrete outcome.

  Content Type(s): Staff research, Staff working papers Topic(s): Business fluctuations and cycles, Econometric and statistical methods JEL Code(s): C, C5, C53, E, E3, E32, E37

• The Propagation of Industrial Business Cycles

  Staff Working Paper 2014-48 Maximo Camacho, Danilo Leiva-Leon

  This paper examines the business cycle linkages that propagate industry-specific business cycle shocks throughout the economy in a way that (sometimes) generates aggregated cycles. The transmission of sectoral business cycles is modelled through a multivariate Markov-switching model, which is estimated by Gibbs sampling.

  Content Type(s): Staff research, Staff working papers Topic(s): Business fluctuations and cycles, Domestic demand and components, Econometric and statistical methods JEL Code(s): C, C2, C22, E, E2, E27, E3, E32

• Real-Time Nowcasting of Nominal GDP Under Structural Breaks

  Staff Working Paper 2014-39 William A. Barnett, Marcelle Chauvet, Danilo Leiva-Leon

  This paper provides a framework for the early assessment of current U.S. nominal GDP growth, which has been considered a potential new monetary policy target. The nowcasts are computed using the exact amount of information that policy-makers have available at the time predictions are made. However, real-time information arrives at different frequencies and asynchronously, which poses challenges of mixed frequencies, missing data and ragged edges.

  Content Type(s): Staff research, Staff working papers Topic(s): Business fluctuations and cycles, Econometric and statistical methods, Inflation and prices JEL Code(s): C, C3, C32, E, E2, E27, E3, E31, E32

• A New Approach to Infer Changes in the Synchronization of Business Cycle Phases

  Staff Working Paper 2014-38 Danilo Leiva-Leon

  This paper proposes a Markov-switching framework to endogenously identify the following: (1) regimes where economies synchronously enter recessionary and expansionary phases; and (2) regimes where economies are unsynchronized, essentially following independent business cycles.

  Content Type(s): Staff research, Staff working papers Topic(s): Business fluctuations and cycles, Econometric and statistical methods, Regional economic developments JEL Code(s): C, C3, C32, C4, C45, E, E3, E32