This paper examines the effects of seller uncertainty over their home value on the housing market. Using evidence from a new dataset on home listings and transactions, I first show that sellers do not have full information about current period demand conditions for their homes. I incorporate...

This paper examines whether the Mortensen-Pissarides matching model can account for the housing markets facts, most of all the empirical anomaly known as ‘price dispersion’. Our main finding is that the model can account for the three basic facts of housing market, without any restrictive...

Standard program evaluations implicitly assume that individuals are perfectly informed about the considered policy change and the related institutional rules. This seems not very plausible in many contexts, as diverse examples show. However, evidence on how incomplete information affects the...

Most empirical studies on price setting that use micro data focus on advanced industrial countries. In this paper we analyze the experience of an emerging economy, Slovakia, using a large micro-level dataset that accounts for a substantial part of the consumer price index (about 5 million...

Markup fluctuations are often the combined outcome of sources of variability with conflicting effects. We exploit a natural experiment framework based on episodes of unanticipated cuts in city council spending and of firm exits from the market to investigate the markup response to contractions...

We develop a volatility estimator that can be directly applied to tick-by-tick data. More specifically, we consider a model that allows for (i) irregular observation times that can be endogenous, (ii) dependent noise that can have diurnal features and be dependent on the latent price process,...

An innovative and simple experiment with cross-section data ordering is carried out to exploit a basic feature between many economic variables – nonlinear scale dependence. The experiment is tried on hedonic price models using two data sets: automobiles and computers. Our key findings are: (a)...

The Panzar-Rosse model is a widely applied method to assess competitive conduct. In particular, it has been extensively used to analyze the competitive climate in the banking industry. To correct for differences in firm size, many empirical papers estimate a Panzar-Rosse revenue function with...