Fra 1999 og senere er publikasjonene tilgjengelige på www.norges-bank.no Working papers inneholder forskningsarbeider og utredninger som vanligvis ikke har fått sin endelige form. Hensikten er blant annet at forfatteren kan motta kommentarer fra kolleger og andre interesserte. Synspunkter og konklusjoner i arbeidene står for forfatternes regning.

Models in the infinite horizon macro-housing literature often assume that borrowers are constrained exclusively by the loan-to-value (LTV) ratio. Motivated by the Swedish micro-data, I explore an alternative arrangement where borrowers are constrained by the feasibility of repayment, but choose a house of maximum permissible size conditional on the LTV restriction. While stricter LTV limits are often considered as a measure to tackle the rise in household indebtedness, I find that policy designed to lower the maximum permissible LTV ratio may actually leave the debt-to-GDP ratio unchanged and increase housing prices in equilibrium if borrowers are bound by two constraints at the same time. In a model with occasionally binding constraints, I show that also for the analysis of the short-run effects of different policies, the consideration of multiple constraints, possibly binding at the same time, is important. The effectiveness of LTV as a measure to tackle the rise in indebtedness has to be reassessed and is likely lower than previously shown.

This series replaces the former series under the title Meddelande från ekonomisk-historiska institutionen, Lunds universitet. The change of name reflects the orientation of the series towards an international readership. The series is multilingual, but the majority of the working papers appear in English.

Models in the infinite horizon macro-housing literature often assume that borrowers are constrained exclusively by the loan-to-value (LTV) ratio. Motivated by the Swedish micro-data, I explore an alternative arrangement where borrowers are constrained by the feasibility of repayment, but choose a house of maximum permissible size conditional on the LTV restriction. While stricter LTV limits are often considered as a measure to tackle the rise in household indebtedness, I find that policy designed to lower the maximum permissible LTV ratio may actually leave the debt-to-GDP ratio unchanged and increase housing prices in equilibrium if borrowers are bound by two constraints at the same time. In a model with occasionally binding constraints, I show that also for the analysis of the short-run effects of different policies, the consideration of multiple constraints, possibly binding at the same time, is important. The effectiveness of LTV as a measure to tackle the rise in indebtedness has to be reassessed and is likely lower than previously shown.

A growing literature (e.g., Jaffee et al. 2009, Acharya andSchnabl 2009) argues that securitization improves financial stability if the securitized assets are held by capital market participants, rather than financial intermediaries. I construct a quantitative macroeconomic model with a novel specification for mortgage-backed securities (MBS) to evaluate this claim. My findings suggest that the existence of the securitization market stabilizes the economy under the condition that financial intermediaries do not engage in the acquisition of securitized assets. In the presence of large negative housing preference shocks, the drop in output in the first year after the shock is halved if subprime MBS are purchased by non-financial agents rather than held by banks.

Attempts to measure the capitalization of local taxes into property prices, starting with Oates (1969), have suffered from a lack of local public service controls. We revisit this vast literature with a novel dataset of 947 time-varying local characteristic and public service controls for all municipalities in Sweden over the 2010-2016 period. To make use of the high dimensional vector of controls, as well as time and geographic fixed effects, we employ a novel empirical approach that modifies the recently-introduced debiased machine learning estimator by coupling it with a deep-wide neural network. We find that existing estimates of tax capitalization in the literature, including quasi-experimental work, may understate the impact of taxes on house prices by as much as 50%. We also exploit the unique features of our dataset to test core assumptions of the Tiebout hypothesis and to estimate the impact of public services, education, and crime on house prices.

No abstract

In this paper, a unique event is studied: the opening of Bank of Canada in 1935, the central bank note issuance monopoly and its impact on the note issuing chartered banks. Between 1935-1950, Canadian chartered banks had to gradually withdraw their notes from circulation. In a difference-in-differences analysis, I show that chartered banks constrained by new issuance limits experienced higher volatility of return-on-equity in the short run and lower Z-scores and return-on-assets in the longer horizon, suggesting that note issuance was an important source of revenue for private banks and allowed them to smooth the profits. The effect on lending is either non-significant or ambiguous. This study of central bank cash implementation can offer lessons for the current debates on a new form of central bank money -central bank digital currencies -and their potential impacts on commercial banks.