This paper uses the Bayesian approach to solve and estimate a New Keynesian model augmented by a generalized Phillips curve, in which the shape of the price reset hazards can be identi…ed using aggregate data. My empirical result shows that a constant hazard function is easily rejected by the...

The need to understand and leverage consumer-brand bonds has become critical in a marketplace characterized by increasing unpredictability, diminishing product differentiation, and heightened competitive pressure. This is especially true for fast moving consumer goods (FMCG) manufacturers and...

Despite their importance in modern electronic trading, virtually no systematic empirical evidence on the market impact of incoming orders is existing. We quantify the short-run and long-run price effect of posting a limit order by proposing a high-frequency cointegrated VAR model for ask and bid...

In a world with complete markets and no transactions cost, the decision whether to rent or buy a home is separate from a household's professional income risk. If markets are incomplete and have frictions, however, profession- specific income risk, regional house price risk, and mobility needs...

The dynamics of hourly electricity prices in day-ahead markets is an important element of competitive power markets that were only established in the last decade. In electricity markets, the market microstructure does not allow for continuous trading, since operators require advance notice in...

In this paper I analyze the effects of information and communication technology (ICT) on compensation shares of high-, medium-, and low-skilled workers. Com- pared to other studies, I investigate this question using a considerably richer data set with respect to the length of time series, set of...

We introduce a regularization and blocking estimator for well-conditioned high-dimensional daily covariances using high-frequency data. Using the Barndorff-Nielsen, Hansen, Lunde, and Shephard (2008a) kernel estimator, we estimate the covariance matrix block-wise and regularize it. A data-driven...