This paper investigates the relationship between household saving and pensions, and estimates both the displacement effect of pensions on private saving and the precautionary saving effect due to uncertainty in pension income. I estimate the savings equation derived from a lifecycle model...

We show that in a model with equity and debt financing, the specfication of the borrowing constraint is crucial to generate empirically plausible responses of macro variables and asset prices to financial shocks. The interaction between financial frictions and labor demand, as in Jermann and...

Using data on exogenous liquidity losses generated by the fraud and failure of a cash-intransit firm, we demonstrate a causal impact on firms' trade credit usage. We find that firms manage liquidity shortfalls by increasing the amount of drawn credit from suppliers and decreasing the amount...

This paper examines the effects of expenditure-based fiscal consolidation when credibility as to whether the cuts will be long-lasting is imperfect. We contrast the impact limited credibility has when the consolidating country has the means to tailor monetary policy to its own needs, with the...

In this paper we discuss a number of challenges for structural macroeconomic models in the light of the Great Recession and its aftermath. It shows that a benchmark DSGE model that shares many features with models currently used by central banks and large international institutions has...

We study the robustness of the Lerner symmetry result in an open economy New Keynesian model with price rigidities. While the Lerner symmetry result, i.e. the absence of allocative and trade-flow effects of an equally-sized change in import tariff and export subsidy, holds up approximately for a...

Using detailed Swedish micro data on prices and costs, this paper documents a decrease in the dispersion of changes in prices and markups following the introduction of an official inflation target of 2 percent. Using a structural model to decompose the change in the price-change distribution by...

Hamiltonian Monte Carlo (HMC) samples efficiently from high-dimensional posterior distributions with proposed parameter draws obtained by iterating on a discretized version of the Hamiltonian dynamics. The iterations make HMC computationally costly, especially in problems with large datasets,...