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Martin Flodén

Researcher at Sveriges Riksbank

Publications -  43
Citations -  1797

Martin Flodén is an academic researcher from Sveriges Riksbank. The author has contributed to research in topics: Debt & Welfare. The author has an hindex of 19, co-authored 43 publications receiving 1669 citations. Previous affiliations of Martin Flodén include Center for Economic and Policy Research & Economic Policy Institute.

Papers
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The labor-supply elasticity and borrowing constraints: Why estimates are biased

TL;DR: Artificial data: The Matlab code generating the artificial data is available upon request (it is currently a mess - possibly the authors will eventually find time and spirit to clean it up and put the code here).
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Idiosyncratic Risk in the United States and Sweden: Is There a Role for Government Insurance?

TL;DR: In this article, the authors examine the effects of government redistribution schemes in an economy where agents are subject to uninsurable, individual specific productivity risk and consider the trade-off between positive insurance effects and negative distortions on labor supply and saving.
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The effectiveness of government debt and transfers as insurance

TL;DR: The authors examine the effects that variations in public debt and transfers have on risk sharing, efficiency, and the distribution of resources, and find that risk sharing can be improved significantly by both debt and transfer, but that debt has adverse effects on equity.
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Population aging and international capital flows

TL;DR: In this paper, the authors use the neoclassical growth framework to model international capital flows in a world with exogenous demographic change and find that the model explains a small but significant fraction of capital flows between OECD countries, in particular after 1985.
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A note on the accuracy of Markov-chain approximations to highly persistent AR(1) processes

TL;DR: The accuracy of methods that are commonly used to approximate AR(1)-processes with discrete Markov chains are examined, and an alternative weighting function for the Tauchen-Hussey method is suggested.