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The paper shows some new features implemented in SoePL-2012 DSGE model, namely explicitly modeled unobserved labour supply and observed unemployment rate. Our approach to labour market in the New Keynesian DSGE model follows papers of Gali et al. (2011); Gali (2011b), see also Christiano et al. (2010b). The Gali’s idea has been implemented into medium-scale small open economy model estimated on Polish data. We analyze estimates of labour market shocks (the wage markup shock and the labour supply preference shock) and use the results to explain the evolution of unemployment in the period of 1999–2011.

Observed macroeconomic data – notably GDP growth rate, inflation and interest rates – can be, and usually are skewed. Economists attempt to fit models to data by matching first and second moments or co-moments, but skewness is usually neglected. It is so probably because skewness cannot appear in linear (or linearized) models with Gaussian shocks, and shocks are usually assumed to be Gaussian. Skewness requires non-linearities or non-Gaussian shocks. In this paper we introduce skewness into the DSGE framework assuming skewed normal distribution for shocks while keeping the model linear (or linearized). We argue that such a skewness can be perceived as structural, since it concerns the nature of structural shocks. Importantly, the skewed normal distribution nests the normal one, so that skewness is not assumed, but only allowed for. We derive elementary facts about skewness propagation in the state space model and, using the well-known Lubik-Schorfheide model, we run simulations to investigate how skewness propagates from shocks to observables in a standard DSGE model. We also assess properties of an ad hoc two-steps estimator of models’ parameters, shocks’ skewness parameters among them.

Observed macroeconomic data – notably GDP growth rate, inflation and interest rates – can be, and usually are skewed. Economists attempt to fit models to data by matching first and second moments or co-moments, but skewness is usually neglected. It is so probably because skewness cannot appear in linear (or linearized) models with Gaussian shocks, and shocks are usually assumed to be Gaussian. Skewness requires non-linearities or non-Gaussian shocks. In this paper we introduce skewness into the DSGE framework assuming skewed normal distribution for shocks while keeping the model linear (or linearized). We argue that such a skewness can be perceived as structural, since it concerns the nature of structural shocks. Importantly, the skewed normal distribution nests the normal one, so that skewness is not assumed, but only allowed for. We derive elementary facts about skewness propagation in the state space model and, using the well-known Lubik-Schorfheide model, we run simulations to investigate how skewness propagates from shocks to observables in a standard DSGE model. We also assess properties of an ad hoc two-steps estimator of models’ parameters, shocks’ skewness parameters among them.

The paper documents elements of work on the dynamic stochastic general equilibrium (DSGE) SOEPL model that has been carried out in recent years at the National Bank of Poland. In 2009 a new version of the model was developed (called SOEPL−2009) which in 2010 is to support an econometric model and experts’ forecasts in mid-term forecasting of inflation and economic activity. The paper consists of three basic parts. The first part is introductory and briefly outlines the development of macroeconometric methods which brought about the creation of new-keynesian models specified within the dynamic stochastic general equilibrium approach. The remaining two parts of the paper report specification, estimation results and some properties of the SOEPL−2009 DSGE model.

The paper documents elements of work on the dynamic stochastic general equilibrium (DSGE) SOEPL model that has been carried out in recent years at the National Bank of Poland. In 2009 a new version of the model was developed (called SOEPL−2009) which in 2010 is to support an econometric model and experts’ forecasts in mid-term forecasting of inflation and economic activity. The paper consists of three basic parts. The first part is introductory and briefly outlines the development of macroeconometric methods which brought about the creation of new-keynesian models specified within the dynamic stochastic general equilibrium approach. The remaining two parts of the paper report specification, estimation results and some properties of the SOEPL−2009 DSGE model.

The paper presents the procedure and two structural macroeconometric models used at the National Bank of Poland for producing regular quarterly inflation projections. One of the models is a small macroeconomic model based on the New Keynesian Phillips curve, the IS curve and the exchange rate equation based on uncovered interest parity with risk factors. The other, more disaggregated model, explicitly focuses on the supply side and separates the steady state from short-term adjustments.

The paper presents the procedure and two structural macroeconometric models used at the National Bank of Poland for producing regular quarterly inflation projections. One of the models is a small macroeconomic model based on the New Keynesian Phillips curve, the IS curve and the exchange rate equation based on uncovered interest parity with risk factors. The other, more disaggregated model, explicitly focuses on the supply side and separates the steady state from short-term adjustments.