Even in scientific disciplines, forecast failures occur.  Four possible states of nature (a model is good or bad, and it forecasts well or badly) are examined using a forecast-error taxonomy, which traces the many possible sources of forecast errors.  This analysis shows that a valid model can...

Economies are so high dimensional and non-constant that many features of models cannot be derived by prior reasoning, intrinsically involving empirical discovery and requiring theory evaluation.  Despite important differences, discovery and evaluation in economics are similar to those of...

In many countries, house prices are subject to boom/bust cycles and in some these are linked to severe economic and financial instability.  Overheating can have both a price and a quantity dimension, but it is likely that they are linked by common drivers.  However, much depends on the...

Understanding the workings of whole economies is essential for sound policy advice - but not necessarily for accurate forecasts.  Structural models play a major role at most central banks and many other governmental agencies, yet almost none forecast the financial crisis and ensuing...

This paper uses a VAR model estimated with Bayesian methods to identify the effect of productivity news shocks on labor market variables by imposing that they are orthogonal to current technology but they explain future observed technology.  In the aftermath of a positive news shock,...

Inflation is a far from homogeneous phenomenon, a fact often neglected in modeling consumer price inflation.  Using a novel methodology grounded in theory, the ten sub-components of the consumer price index (excluding mortgage interest rates), are modeled separately and forecast,...

The literature has shown that network architecture depends crucially on whether links are formed unilaterally or bilaterally, that is, on whether the consent of both nodes is required for a link to be formed.  We propose a test of whether network data is best seen as an actual link or...

Inflation targeting central banks will be hampered without good models to assist them to be forward-looking.  Many current inflation models fail to forecast turning points adequately, because they miss key underlying long-run influences.  The world is on the cusp of a dramatic turning point in...

We consider the reasons for nowcasting, how nowcasts can be achieved, and the use and timing of information.  The existence of contemporaneous data such as surveys is a major difference from forecasting, but many of the recent lessons about forecasting remain relevant.  Given the extensive...

We enrich a baseline RBC model with search and matching frictions on the labor market and real frictions that are helpful in accounting for the response of macroeconomic aggregates to shocks.  The analysis allows shocks to have an unanticipated and a new (i.e. anticipated) component.  The...