Publications

In this paper we propose an artificial stock market model based on interaction of heterogeneous agents whose forward-looking behaviour is driven by the reinforcement learning algorithm combined with some evolutionary selection mechanism. We use the model for the analysis of market self-regulation abilities, market efficiency and determinants of emergent properties of the financial market. Distinctive and novel features of the model include strong emphasis on the economic content of individual decision making, application of the Q-learning algorithm for driving individual behaviour, and rich market setup.

JEL Codes: G10, G11, G14.

The views expressed are those of the author(s) and do not necessarily represent those of the Bank of Lithuania.

This paper presents preliminary estimates of the euro area flexible-price output gap using the estimated version of the New Area-Wide Model (NAWM) – a large-scale DSGE model of the euro area developed and maintained by ECB staff. Following a definition of the flexible-price output gap frequently used in the literature, we show that the NAWM-based measure may at times differ quite considerably from more traditional output gap measures and may display fluctuations of larger amplitude. The dynamics of flexible-price output is mainly driven by shocks to technology, whereas fluctuations in the output gap can be attributed equally to supply and demand shocks. We analyse how robust this output gap estimate is with respect to new incoming data and compare it’s inflation forecast performance with alternative measures.

JEL Codes: C11, C32, E31, E32.

The views expressed are those of the author(s) and do not necessarily represent those of the Bank of Lithuania.

The goal of this paper is to examine the dynamic effects of fiscal instruments in Lithuania on the economy and welfare. In the analysis, a calibrated dynamic stochastic general equilibrium model for Lithuania is employed. The calculation implies that 9-16 percent of tax cuts are self-financing in the long run. It suggests that the slope of Laffer curve in Lithuanian economy is rather flat. The analysis of effects of different tax cuts shows that the impact of 1 percentage point permanent decrease in statutory tax rate on gross domestic product is very small (within the range of –0.15 through 0.15 percent in all cases). The estimated government expenditure multiplier has a different sign in the long run when various financing sources are used to balance the government budget.

JEL Codes: E62, H24, H25.

The views expressed are those of the author(s) and do not necessarily represent those of the Bank of Lithuania.

In this paper we provide a brief introduction to the literature on agent-based financial modelling and, more specifically, artificial stock market modelling. In the selective literature review two broad categories of artificial stock market models are discussed: models based on hard-wired rules and models with learning and systemic adaptation. The paper discusses pros and cons of agent-based financial modelling as opposed to the standard representative-agent approach. We advocate the need for the proper account of market complexity, agent heterogeneity, bounded rationality and adaptive (though not simplistic) expectations in financial modelling. We also argue that intelligent adaptation in highly uncertain environment is key to understanding actual financial market behaviour and we resort to a specific area of artificial intelligence theory, namely reinforcement learning, as one plausible and economically appealing algorithm of adaptation and learning.

JEL Codes: G10, G11, G14, Y20.

The views expressed are those of the author(s) and do not necessarily represent those of the Bank of Lithuania.

In this paper, the economic impact of the 2006–2008 personal income tax (PIT) reform in Lithuania is analyzed applying model-based simulations. We find that the undertaken PIT reform is unsustainable as it leads to permanent government budget deficits and ever increasing public debt. This result holds even allowing for endogenous reduction in tax evasion. After introducing permanent compensatory fiscal measures ensuring long-term sustainability of the PIT reduction, we demonstrate that the lower PIT produces higher output and lower prices in the long run. Higher domestic spending is supported by higher employment and after-tax wages. Moreover, following a reduction in the marginal production costs, producer prices fall enhancing economy’s international competitiveness and boosting domestic exports. Pre-announcement of the tax reform implies early macroeconomic reaction, and thus in most cases smoother adjustment of the economy to the tax change.

JEL Codes: E62, H24, H25, H26.

The views expressed are those of the author(s) and do not necessarily represent those of the Bank of Lithuania.

This paper evaluates different models for the short-term forecasting of real GDP growth in ten selected European countries and the euro area as a whole. Purely quarterly models are compared with models designed to exploit early releases of monthly indicators for the nowcast and forecast of quarterly GDP growth. Amongst the latter, we consider small bridge equations and forecast equations in which the bridging between monthly and quarterly data is achieved through a regression on factors extracted from large monthly datasets. The forecasting exercise is performed in a simulated real-time context, which takes account of publication lags in the individual series. In general, we find that models that exploit monthly information outperform models that use purely quarterly data and, amongst the former, factor models perform best. 

JEL Codes: E37, C53. 

The views expressed are those of the author(s) and do not necessarily represent those of the Bank of Lithuania.