“…A fast growing literature has attempted to identify credit supply shocks through vector autoregressions (VAR) by imposing sign restrictions on impulse responses (Halvorsen and Jacobsen, 2009;Busch et al, 2010;De Nicol o and Lucchetta, 2011;Eickmeier and Ng, 2011;Tam asi and Vil agi, 2011;Gambetti and Musso, 2012;Hristov et al, 2012;Barnett and Thomas, 2013;Darracq Paries and De Santis, 2013;Houssa et al, 2013;Darracq Paries et al, 2014;Kick, 2014), or by using other identification schemes Abildgren, 2012;Darracq Paries and De Santis, 2013). 1 A constant 1 There have also been attempts in the theoretical literature to better capture shifts in the supply of credit by expanding the focus beyond borrowing constraints in collateral markets and emphasizing the role of constraints on lenders (Justiniano et al, 2014). parameter approach, as adopted in almost all these studies, might not do full justice to the timevarying nature of macroeconomic relationships that these models try to capture.…”