Graph-theoretic methods of causal search based in the ideas of Pearl (2000), Spirtes, Glymour, and Scheines (2000), and others have been applied by a number of researchers to economic data, particularly by Swanson and Granger (1997) to the problem of finding a data-based contemporaneous causal...

The paper provides a careful, analytical account of Trygve Haavelmo's unsystematic, but important, use of the analogy between controlled experiments common in the natural sciences and econometric techniques. The experimental analogy forms the linchpin of the methodology for passive observation...

An explication of the key ideas behind the Cointegrated Vector Autoregression Approach. The CVAR approach is related to Haavelmo's famous quot;Probability Approach in Econometricsquot; (1944). It insists on careful stochastic specification as a necessary groundwork for econometric inference and...

An algorithm is developed for the empirical selection of valid instrumental variables based on graph-theoretic causal search (or Bayes-net) methodologies for directed cyclical graphs. The method also helps to identify causal structure when the underlying relationships are simultaneous or...

Graph-theoretic methods of causal search based in the ideas of Pearl (2000), Spirtes, Glymour, and Scheines (2000), and others have been applied by a number of researchers to economic data, particularly by Swanson and Granger (1997) to the problem of finding a data-based contemporaneous causal...

David Hendry and Hans-Martin Krolzig have demonstrated that PCGets, an automatic model selection algorithm that implements general-to-specific search procedures, can be successfully applied to the individual equations of vector autoregressions (VARs), provided that the contemporaneous causal...

Trygve Haavelmo's The Probability Approach in Econometrics (1944) has been widely regarded as the foundation document of modern econometrics. Nevertheless, its significance has been interpreted in widely different ways. Some modern economists regard it as a blueprint for a provocative, but...

For about twenty years, Deidre McCloskey has campaigned to convince the economics profession that it is hopelessly confused about statistical significance. She argues that many practices associated with significance testing are bad science and that most economists routinely employ these bad...