Using firm-level data, we study how firm expectations adjust to news while accounting for a) the heterogeneity of news and b) the heterogeneity of firms. We classify news as either micro or macro, that is, information about firm-specific developments or information about the aggregate economy....

Using firm-level data, we study how firm expectations adjust to news while accounting for a) the heterogeneity of news and b) the heterogeneity of firms. We classify news as either micro or macro, that is, information about firm-specific developments or information about the aggregate economy....

The full-information rational expectations (FIRE) assumption is at the core of modern macroeconomics. We revisit recent evidence which rejects FIRE based on survey data. It relates forecast errors to news at different levels of aggregation. The evidence based on consensus forecasts testifies...

In this study, we investigate how firm expectations about their own developments respond to different types of news. We classify news as either micro or macro, with micro news being information about firm-specific developments and macro news being information about the aggregate economy. Our...

In this study, we investigate how firm expectations about their own developments respond to different types of news. We classify news as either micro or macro, with micro news being information about firm-specific developments and macro news being information about the aggregate economy. Our...

Using vector autoregressions on U.S. time series and an aggregate of industrialized countries, we find that technology shocks appreciate the terms of trade and lower the trade balance; they induce an 'S'-shaped cross-correlation function for both variables (the S-curve). In calibrating a...

Using vector autoregressions on U.S. time series relative to an aggregate of industrialized countries, this paper provides new evidence on the dynamic effects of government spending and technology shocks on the real exchange rate and the terms of trade. To achieve identi¬fication, we derive...