We build a dynamic stochastic general equilibrium model with five sectors (1 - mining; 2 - manufacturing; 3 - electricity, gas and water; 4 - trade, transport and communication; 5 - other). The model is estimated on 29 time-series of Russia statistical data. We analyse the out-of-sample...

This article compares properties of different non-linear Kalman filters: well-known Unscented Kalman filter (UKF), Central Difference Kalman Filter (CDKF) and unknown Quadratic Kalman filter (QKF). Small financial DSGE model is repeatedly estimated by maximum quasi-likelihood methods with...

A dynamic stochastic general equilibrium (DSGE) model with endogenous defaults of firms is developed. Proposed mechanism of defaults is very flexible. It takes into account amount of assets owned by firms. It suggests that banks receive some payment from firm after default. The model is...

This article suggests new approach to approximation of moments of nonlinear DSGE models. These approximations are fast and accurate enough to use them for estimation of parameters of nonlinear DSGE models. A small financial DSGE model is repeatedly estimated by several approaches. Approximations...

A medium-scale nonlinear dynamic stochastic general equilibrium (DSGE) model is estimated (54 variables, 29 state variables, 7 observed variables). The model includes a observed variable for stock market returns. The root-mean square error (RMSE) of the in-sample and out-of-sample forecasts is...

This article compares the properties of different non-linear Kalman filters: the well-known Unscented Kalman filter (UKF), the central difference Kalman filter (CDKF) and the new Quadratic Kalman filter (QKF). A small financial DSGE model is repeatedly estimated by several quasi-likelihood...

New simple forms of deviation from rational expectations (RE) are suggested: temporary near-rational expectations (TNRE) and persistent near-rational expectations (PNRE). The medium-scale DSGE model was estimated with the RE, the TNRE and the PNRE. It was estimated with and without observations...

A medium-scale nonlinear dynamic stochastic general equilibrium (DSGE) model was estimated (54 variables, 29 state variables, 7 observed variables). The model includes an observed variable for stock market returns. The root-mean square error (RMSE) of the in-sample and out-of-sample forecasts...