vytautas valaitis image

Dr Vytautas Valaitis


Senior Lecturer

Academic and research departments

Economics, Faculty of Arts, Business and Social Sciences.

Sustainable development goals

My research interests are related to the following:

Decent Work and Economic Growth UN Sustainable Development Goal 8 logo
Reduced Inequalities UN Sustainable Development Goal 10 logo

Publications

Lukas Schmid, Vytautas Valaitis, Alessandro T. Villa (2026)Government debt management and inflation with real and nominal bonds, In: Journal of financial economics182104293 Elsevier B.V

Can governments use real bonds such as Treasury Inflation-Protected Securities (TIPS) to tame inflation? We propose a novel framework of optimal debt management with sticky prices and a government issuing nominal and real state-uncontingent bonds. A government debt portfolio with both nominal and real bonds helps completing markets unless the monetary policy stance renders them perfect substitutes. Under Full Commitment, the government borrows with nominal debt and accumulates real assets, to be able to use inflation to smooth taxes. With No Commitment, the government portfolio favors real bonds to strategically prevent future governments from monetizing debt ex-post. Quantitatively, our model with No Commitment is consistent with the small and persistent TIPS share in U.S. data. A higher TIPS share mitigates the commitment friction, and effectively curbs inflation.

Vytautas Valaitis, Domenico Ferraro (2024)Consumption Quality and Employment Across the Wealth Distribution, In: The Review of Economic Studiesrdae052 Oxford University Press

In the U.S., market hours worked are approximately flat across the wealth distribution. Accounting for this phenomenon is a standing challenge for standard heterogeneous-agent macro models. In these models, wealthier households consume more and work fewer hours. We propose a theory that generates the cross-sectional wealth-hours relation as in the data. We quantify this theory in a heterogeneous-agent incomplete-markets model with three key features: a quality choice in consumption, non-homothetic preferences, and a multi-sector production structure. We show that the model produces consumption expenditure patterns consistent with the data and realistic " quality Engel curves " .

Vytautas Valaitis, Alessandro T. Villa (2024)A machine learning projection method for macro‐finance models, In: Quantitative economics15(1)pp. 145-173 The Econometric Society

We use supervised machine learning to approximate the expectations typically contained in the optimality conditions of an economic model in the spirit of the parameterized expectations algorithm (PEA) with stochastic simulation. When the set of state variables is generated by a stochastic simulation, it is likely to suffer from multicollinearity. We show that a neural network‐based expectations algorithm can deal efficiently with multicollinearity by extending the optimal debt management problem studied by Faraglia, Marcet, Oikonomou, and Scott (2019) to four maturities. We find that the optimal policy prescribes an active role for the newly added medium‐term maturities, enabling the planner to raise financial income without increasing its total borrowing in response to expenditure shocks. Through this mechanism, the government effectively subsidizes the private sector during recessions.