In this paper, I examine the welfare consequences of conventional approximation methods in business cycle analysis: the log-linear approximation of model dynamics and the second-order approximation of social welfare. In a canonical New Keynesian model, the approximation around the deterministic...

Adomain decomposition method is a powerful technique to solve nonlinear differential equations and nonlinear Integro - differential equations. This paper presents a novel way of computing Adomian polynomials for nonlinear terms occur in nonlinear differential equations through partial Bell...

In the face of persistent rise in unemployment figure in Nigeria, this study re-examines the unemployment hysteresis hypothesis by deploying both linear and nonlinear unit root estimation techniques. Using Nigerian unemployment rate data from 1970 to 2017, evidence from the adopted unit toot...

In this paper, we present a backward deep BSDE method applied to Forward Backward Stochastic Differential Equations (FBSDE) with given terminal condition at maturity that time-steps the BSDE backwards. We present an application of this method to a nonlinear pricing problem - the differential...

We argue that the fiscal multiplier of government purchases is nonlinear in the spending shock, in contrast to what is assumed in most of the literature. In particular, the multiplier of a fiscal consolidation is decreasing in the size of the consolidation. We empirically document this fact...

A significant issue in studies of economic development is whether economies (countries, regions of a country, etc.) converge to one another in terms of per capita income. In this paper, nonlinear asymptotically subsiding trends of income gap in a pair of economies model the convergence process....

Investors pay a substantial premium to hedge against fluctuations in volatility—the variance risk premium (VRP). The asset-pricing literature has presented numerous models with jumps in economic fundamentals to reproduce the properties and the time variation of the VRP. This paper shows that...

This paper estimates the complete historical US price data by employing a relatively new statistical methodology based on long memory. We consider, in addition to the standard case, the possibility of nonlinearities in the form of nonlinear deterministic trends as well as the possibility that...

This paper considers the problem of model averaging for regression models that can be nonlinear in their parameters and variables. We consider a nonlinear model averaging (NMA) framework and propose a weight-choosing criterion, the nonlinear information criterion (NIC). We show that up to a...

Existing methods for estimating nonlinear dynamic models are either highly computationally costly or rely on local approximations which often fail adequately to capture the nonlinear features of interest. I develop a new method, the discretization filter, for approximating the likelihood of...