Bio

Kerem Tuzcuoglu is a Senior Economist in the Financial Stability Department. His research focuses on theoretical and applied econometrics, nonlinear time series models, and Bayesian econometrics with the applications on macroeconomics and finance. He received his Ph.D. in Economics from Columbia University.

Research Fields: Applied Econometrics Econometric Theory Time Series
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Staff Working Papers

Composite Likelihood Estimation of an Autoregressive Panel Probit Model with Random Effects

Staff Working Paper 2019-16 Kerem Tuzcuoglu
Modeling and estimating persistent discrete data can be challenging. In this paper, we use an autoregressive panel probit model where the autocorrelation in the discrete variable is driven by the autocorrelation in the latent variable. In such a non-linear model, the autocorrelation in an unobserved variable results in an intractable likelihood containing high-dimensional integrals.
Content Type(s): Staff Research, Staff Working Papers Topic(s): Credit risk management, Econometric and statistical methods, Economic models JEL Code(s): C, C2, C23, C25, C5, C58, G, G2, G24

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Journal Publications

Others

Working papers

  • Composite Likelihood Estimation of AR-Probit Model: Application to Credit Ratings
  • Output Effects of Global Food Commodity Shocks
  • Interpreting the latent dynamic factors by threshold FAVAR model