This is an introductory article which explains the importance of explicit consideration and modeling of causality, contrary to current econometric practice, in order to use data set for extraction of meaningful information. One of the easiest to understand approaches to causality is via...

Purpose – The purpose of this paper is to argue that corruption is inherently unmeasurable. Measures of corruption produced by different sources are highly unsatisfactory. Useful measures may be possible for specific purposes in limited contexts. Reasons why highly unsatisfactory measures are...

Applied econometric work takes a superficial approach to causality. Understanding economic affairs, making good policy decisions, and progress in the economic discipline depend on our ability to infer causal relations from data. We review the dominant approaches to causality in econometrics, and...

We explore maximum likelihood (ML) estimation of the Hildreth-Houck random coefficients model. We show that the global ML estimator can be inconsistent. We develop an alternative LML (local ML) estimator and prove that it is consistent and asymptotically efficient for points in the interior of...

Purpose – The purpose of this paper is to argue that corruption is inherently unmeasurable. Measures of corruption produced by different sources are highly unsatisfactory. Useful measures may be possible for specific purposes in limited contexts. Reasons why highly unsatisfactory measures are...

We draw on a newly collected historical dataset of fiscal variables for a large panel of countries—to our knowledge, the most comprehensive database currently available—to gauge the degree of fiscal prudence or profligacy for each country over the past several decades....

As professional economists, we are frequently asked whether the modern economy can function without a market for interest-based credit. This question has acquired some urgency in the wake of the recent Shariat Court ruling on interest in Pakistan. Some pundits have pronounced that great harm...

A literature search shows that robust regression techniques are rarely used in applied econometrics. We present a technique based on Rousseeuw and Van Zomeren [Journal of the American Statistical Association, 85 (1990) 633–639] that removes many of the difficulties in applying such techniques...