This paper examines the reflexive interplay between individual decisions and social forces to analyze the evolution of cooperation in the presence of "multi-directedness", whereby people's preferences depend on their psychological motives. People have access to multiple, discrete motives....

This paper examines the reflexive interplay between individual decisions and social forces to analyze the evolution of cooperation in the presence of "multi-directedness," whereby people's preferences depend on their psychological motives. People have access to multiple, discrete motives....

This paper examines the reflexive interplay between individual decisions and social forces to analyze the evolution of cooperation in the presence of "multi-directedness," whereby people's preferences depend on their psychological motives. People have access to multiple, discrete motives....

This article is an idiosyncratic survey of the insider-outsider theory, describing the vision underlying the theory, and evaluating salient contributions to the literature in the light of this vision. We also indicate what appear to have been dead-ends and red herrings in past research. The...

In this paper we analyse the employment implications of firing restrictions. We find that when a recession is expected and the trend rate of productivity growth is small, a rise in firing costs affects mainly the hiring decision. Thus there is a negative effect on average employment. When, on...

We introduce a multivariate multiplicative error model which is driven by componentspecific observation driven dynamics as well as a common latent autoregressive factor. The model is designed to explicitly account for (information driven) common factor dynamics as well as idiosyncratic effects...

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...

We model the dynamics of ask and bid curves in a limit order book market using a dynamic semiparametric factor model. The shape of the curves is captured by a factor structure which is estimated nonparametrically. Corresponding factor loadings are assumed to follow multivariate dynamics and are...

We study the impact of the arrival of macroeconomic news on the informational and noise-driven components in high-frequency quote processes and their conditional variances. Bid and ask returns are decomposed into a common ('efficient return') factor and two market-side-specific components...

Bayesian learning provides the core concept of processing noisy information. In standard Bayesian frameworks, assessing the price impact of information requires perfect knowledge of news' precision. In practice, however, precision is rarely dis- closed. Therefore, we extend standard Bayesian...