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Working Paper Series

Working Paper Series

Working papers disseminate economic research relevant not only to the tasks and functions of the Bank of Lithuania and of the European System of Central Banks but also appealing more broadly to the academic community in economics and finance. They present, discuss and analyse the results of original and academically rigorous theoretical and/or empirical research. Working papers constitute the basis for publications in leading academic journals, making contributions to the existing literature in the fields of economics and finance. They encourage collaboration between the researchers of the Bank of Lithuania and other central banks, Lithuanian and foreign universities and research institutes.

Papers are only available in English.

No 145
2026-07-30

Corporate Disclosure, Government Bailout, and Liquidity Crisis

  • Abstract

    This study examines the effects of a government bailout on corporate disclosure when a firm is exposed to the risk of investors withdrawing their investments from the firm. The government bailout affects the behavior of investors, which, in turn, alters the disclosure behavior of the firm. We find that the firm discloses less (more) than the case without a bailout when investors have pessimistic (optimistic) beliefs about the firm. These changes in disclosure decision reduce investors’ expectations about the firm’s fundamentals. Therefore, the government bailout can increase the likelihood of the firm facing a liquidity crisis if it distorts the disclosure behavior of the firm.

    Keywords: Corporate Disclosure, Government Bailout, Liquidity Crisis, Coordination Failure, Global Game

    JEL codes: M40, G01, G28, D82, D83

     

No 144
2026-06-08

Consumer of Last Resort: Government procurement, firm-levelevidence and the macroeconomy

  • Abstract

    Public spending has been shown to stimulate private consumption and aggregate output. Less is known about the extent to which public demand and procurement markets can affect individual firms, particularly their financial stability and resilience to shocks, and can re-balance risks across businesses in the economy. In this paper, I focus on these issues and investigate them both empirically and theoretically. To do so, I first build a novel database with firm-level data on US government procurement programs and establish the unpredictability of competitive contracts through an event study. I then explore the effects of procurement contracts on firms’ balance sheets and find a significant positive impact on winning firms’ sales, profits and investments. I contribute to the literature by showing that public procurement can dampen perceived uncertainty and volatility associated with the firm in times of stringent financial conditions. I generalise and confirm my empirical findings in a general equilibrium model with two types of firms, contractors and outsiders. Using the theoretical model, I provide a deeper understanding of the design of procurement markets and their interplay with public policies to balance uncertainty and risks across firms.

    Keywords: Government procurement, fiscal policy, firm uncertainty

    JEL codes: H57, E62, H32

     

No 143
2026-05-08

Feedback Effects, Market Valuations, and Real Efficiency

  • Abstract

    This paper studies the interdependence of myopic corporate behavior and the so-called feedback effect, where financial prices contain useful information for corporate decision making. We model the feedback effect in a mostly standard trading environment, except that its tractable analysis is ensured by Pareto distribution of productivity. The analysis shows that the feedback effect causes a price inflation and the resulting long-term productive inefficiency, which can be understood in the context of innovation strategies. It sheds light on the negative side of learning from financial prices, and, at the same time, explains its prevalence, which requires the availability of superior information in financial markets.

    Keywords: Feedback effect, learning, real efficiency, short-termism

    JEL codes: D82, G01, G11, G14.

     

No 142
2026-02-27

Factor-Augmented VARs with Noisy Factor Proxies

  • Abstract

    In factor-augmented vector autoregression (FAVAR) models, some of the factors are treated as observable while the remaining factors are latent and need to be estimated from a large cross-section of time series. Given that economic concepts such as inflation or output can often be proxied by different variables and that macroeconomic time series are commonly subject to substantial data revisions, the assumption that some factors are perfectly observable appears unnecessarily strong. In this paper we relax the assumption and treat observable factor proxies as noisy measures of true underlying factors. We show that when there are more observable proxies than true underlying factors, the standard FAVAR models reduce to a dynamic factor model (DFM) with a rank constraint. We propose an iterative estimation procedure that alternates between principal components estimation and solving a reduced-rank regression model. We further discuss a modification of the method with group-lasso sparsity constraints to incorporate regularization and variable selection at the same time. We use Monte Carlo simulations to demonstrate the effectiveness of the proposed method for factor estimation and forecasting in a DFM with weak factors and its usefulness for estimating structural impulse responses to oil supply and demand shocks using a FAVAR model.

    Keywords: factor-augmented vector autoregressions, noisy factor proxies, principal components, reduced-rank regression, sparse regression

    JEL codes: C32, C38, C55, E17.