This chapter explains the logic of structural econometric models and compares them to other types of econometric models. We provide a framework researchers can use to develop and evaluate structural econometric models. This framework pays particular attention to describing different sources of unobservables in structural models. We use our framework to evaluate several literatures in industrial...

The m-testing approach provides a general and convenient framework in which to view and construct speci cation tests for econometric models. Previous m-testing frameworks only consider test statistics that involve nite dimensional parameter estimators and in nite dimensional parameter estimators a ecting the limit distribution of the m-test statistics. In this paper we propose a new m-testing f...

Macroeconomic forecasts are often based on the interaction between econometric models and experts. A forecast that is based only on an econometric model is replicable and may be unbiased, whereas a forecast that is not based only on an econometric model, but also incorporates an expert's touch, is non-replicable and is typically biased. In this paper we propose a methodology to analyze the qual...

This article examines the role of marketing in the context of initial public offerings (IPOs), a neglected issue in the extant literature. The results from a large-scale, cross-industry study indicate that firms’ pre-IPO marketing spendings help reduce IPO underpricing and boost IPO trading in the stock market. The econometric models also suggest that these effects are heterogeneous; that is, t...