Why Global and Local Solutions of Open-Economy Models with Incomplete Markets Differ and Why It Matters

Working Paper: NBER ID: w31544

Authors: Oliver de Groot; Ceyhun Bora Durdu; Enrique G. Mendoza

Abstract: Global and local methods used to study open-economy incomplete-markets models yield different cyclical moments, impulse responses, spectral densities and precautionary savings. Endowment and RBC model solutions obtained with first-order, higher-order, and risky-steady-state local methods are compared with fixed-point-iteration global solutions. Analytic and numerical results show that the differences are due to the near-unit-root nature of net foreign assets under incomplete markets and inaccuracies of local methods in computing their autocorrelation. In a Sudden Stops model, quasi-linear methods that handle occasionally binding constraints understate the size of credit constraint multipliers, financial premia and macroeconomic responses.

Keywords: No keywords provided

JEL Codes: F41; F44; G01; G15


Causal Claims Network Graph

Edges that are evidenced by causal inference methods are in orange, and the rest are in light blue.


Causal Claims

CauseEffect
local approximation methods (C60)accuracy of NFA dynamics (C69)
accuracy of NFA dynamics (C69)consumption volatility (E20)
accuracy of NFA dynamics (C69)net exports (NX) (F29)
local methods (C60)autocorrelations of NFA (C45)
local methods (C60)autocorrelations of net exports (NX) (F14)
raising the persistence of income (D15)autocorrelation of NFA (C45)
raising the persistence of income (D15)autocorrelation of net exports (NX) (F14)
local methods (C60)precautionary savings (D14)
local methods (C60)macroeconomic responses (E65)
stationarity-inducing assumptions in local methods (C51)accuracy of solutions (C62)

Back to index