In many environments, including credit and online markets, past records about participants are collected, published, and erased after some time. We study the effects of erasing past records on trade and welfare in a dynamic market where each seller's quality follows a Markov process and buyers...

In many environments, including credit and online markets, past records about participants are collected, published, and erased after some time. We study the effects of erasing past records on trade and welfare in a dynamic market where each seller's quality follows a Markov process and buyers...

This article considers the application to regional price data of time series methods to test stationarity, multivariate cointegration and exogeneity. The discovery of stationary price differentials in a bivariate setting implies that the series are rendered stationary by capturing a common trend...

The asymmetry in price pressure from seller vs. buyer-initiated transactions is identified as valuable measure of downside liquidity for corporate bonds. While the evidence of illiquidity on risk premium in the cross-section of corporate bonds is mixed, the aggregate liquidity asymmetry has a...

We consider a cross-calibration test of predictions by multiple potential experts in a stochastic environment. This test checks whether each expert is calibrated conditional on the predictions made by other experts. We show that this test is good in the sense that a true expert - one informed of...

We examine a dynamic disclosure model in which the value of a firm follows a random walk. Every period, with some probability, the manager learns the value and decides whether to disclose it. The manager maximizes the market perception of the firm's value, which is based on disclosed...

This article describes a characterisation of competitive market behaviour using the concepts of cointegration analysis. It requires all (n) firms to set prices to follow a single stochastic trend (equivalently the vector of n prices should have cointegrating rank n-1). This implies that, in the...

We build an equilibrium business cycle model in which agents cannot perfectly distinguish between the permanent and transitory components of TFP shocks and learn about those components using the Kalman filter. Calibrated to Mexico, the model predicts a higher variability of consumption relative...

We build an equilibrium business cycle model in which agents cannot perfectly distinguish between the permanent and transitory components of TFP shocks and learn about those components using the Kalman filter. Calibrated to Mexico, the model predicts a higher variability of consumption relative...