“…The probabilistic graphical approach has a lot of successful applications in the computer science, medicine and biology (Koller (2009); Pearl ( 2009)), and it gains popularity in econometrics (see Ahelegbey et al, 2014;Bryant and Bessler, 2011;Demiralp et al, 2014;Fragetta and Melina, 2013;Hoover, 2005;Kwon and Bessler, 2011;Oxley et al, 2009;Phiromswad, 2014;Reale and Wilson, 2001;Richardson and Spirtes, 1999;Wilson and Reale, 2008, and many others). However, the literature on graphical models and the econometric literature on identification use different languages to represent the results: the literature on graphical model usually formulates the theorems in terms of causal diagrams (Brito and Pearl (2002b); Tian (2005); Chen and Pearl (2014)), and the econometric literature represents the results in terms of matrix algebra (for example, see Greene, 2012;Rubio-Ramírez et al, 2010;Christiano et al, 1999).…”