This paper shows that macroeconomic uncertainty affects the housing market in two significant ways. First, uncertainty shocks adversely a¤ect housing prices but not the quantities that are traded. Controlling for a broad set of variables in fixed-effects regressions, we find that uncertainty...

This paper develops and estimates a model to explain the behaviour of house prices in the United States. The main finding is that over 70% of the increase in house prices relative to trend during the increase of house prices in the United States from 1995 to 2006 can be explained by a pricing...

This chapter surveys the literature on housing in macroeconomics. We first collect facts on house prices and quantities in both the time series and the cross section of households and housing markets. We then present a theoretical model of frictional housing markets with heterogeneous agents...

While there is a great deal of literature focusing on the relationship between income and fertility, little is known about how wealth affects fertility decisions of the household. This paper fills this gap in the literature by investigating how changes in housing wealth affect fertility. In...

This paper examines the impact of different types of oil price shocks on the U.S. economy, using a factor-augmented VAR (FAVAR) approach. The results indicate that when examining the effects of oil price shocks, it is important to account for the interaction between the oil market and the...

This paper examines the impact of different types of oil price shocks on the U.S. economy, using a factor-augmented VAR (FAVAR) approach. The results indicate that when examining the effects of oil price shocks, it is important to account for the interaction between the oil market and the...

There are several mechanisms that can account for short-run business cycle transmission. International trade is probably the major vehicle, and it forms a direct channel through which income and price shocks may be transmitted. Capital flows provide a second mechanism which is most likely to be...

The extraction of a common signal from a group of time series is generally obtained using variables recorded with the same frequency or transformed to have the same frequency (monthly, quarterly, etc.). The statistical literature has not paid a great deal of attention to this topic. In this...

Duration dependent Markov-switching VAR (DDMS-VAR) models are time series models with data generating process consisting in a mixture of two VAR processes, which switches according to a two-state Markov chain with transition probabilities depending on how long the process has been in a state. In...