Long-term macroeconometric models: The case of Poland

Long-term forecasts and scenario analysis should be based on macroeconometric models. The core of long-term models is extended by introducing production functions generating potential output. Their specification includes total factor productivity (TFP) being representative of technological progress. It depends on knowledge capital, i.e. human capital, domestic and foreign R&D. Several channels of transfer of foreign R&D can be distinguished.The potential output differs from the effective output, representing final demand, underlying business cycle fluctuations. To study potential disequilibria a system of equations explaining final demand must be established.Thus the long-term macroeconometric model must be a complete model. Its use may cover long-term forecasts and scenario analysis based on model simulations.The paper outlines the above specifications of the long-term model using as example a new model of the Polish economy. The model is medium-sized. It covers demand and supply side, including prices and financial flows. The results of multiplier analysis are shown revealing model feedbacks, including generation of business cycles. The results of its application are shown: long-term forecasts up to the year 2030 as well as scenarios of development of the Polish economy, including recession scenario.