Business Cycle Asymmetries and Nonlinearity in UAE Macroeconomic Time Series

2016 ◽  
Vol 55 (4) ◽  
pp. 476-490
Author(s):  
Mohamed Osman ◽  
Ariful Hoque ◽  
Kamrul Hassan
2017 ◽  
Vol 68 (2) ◽  
Author(s):  
Thomas Gries ◽  
Marlon Fritz ◽  
Yuanhua Feng

AbstractThis paper introduces an economically important new idea for detrending macroeconomic time series and examines the Spanish business cycle pattern with respect to potential asymmetries. To address difficulties in the trend and cycle decomposition, a nonparametric trend estimation approach is introduced and exemplary applied to the Spanish GDP data for the period 1850 to 2015. The application of an iterative plug-in (IPI) algorithm for endogenous bandwidth selection solves the problem of choosing an adequate smoothing parameter for nonparametric regression. The algorithm identifies continuously


2020 ◽  
Vol 110 (10) ◽  
pp. 3030-3070 ◽  
Author(s):  
George-Marios Angeletos ◽  
Fabrice Collard ◽  
Harris Dellas

We propose a new strategy for dissecting the macroeconomic time series, provide a template for the business-cycle propagation mechanism that best describes the data, and use its properties to appraise models of both the parsimonious and the medium-scale variety. Our findings support the existence of a main business-cycle driver but rule out the following candidates for this role: technology or other shocks that map to TFP movements; news about future productivity; and inflationary demand shocks of the textbook type. Models aimed at accommodating demand-driven cycles without a strict reliance on nominal rigidity appear promising. (JEL C22, E10, E32)


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