This article explores the relationship between labor costs and price inflation under two conditions. Firstly, with linear assumption and classical techniques. Secondly, without assuming linearity, by a novel non-parametric machine learning method, namely gradient boosting. With quarterly data...

We study a nonlinear two-way fixed effects panel model that allows for unobserved individual heterogeneity in slopes (interacting with covariates) and (unknown) flexibly specified link function. The former is particularly relevant when the researcher is interested in the distributional causal...

I derive simple, flexible strategies for difference-in-differences settings where the nature of the response variable may warrant a nonlinear model. In addition to covering the case of common treatment timing, I allow for staggered interventions, with and without covariates. Under an index...

The equation x^a+y^b+z^c=m in real numbers represents a group of Nonlinear Multi-Agent Systems, is an ill-posed problem and can be used in physical sciences and social sciences. This article introduces some Equivalence-Conditions, Existence-Conditions and properties of xa+yb+zc=m in real...

The prediction accuracy of six estimators of econometric models are compared. Two of rthe estimators are ordinary least squares (OLS) and full-information maximum likelihood. (FML). The other four estimators are robust estimators in the sense that they give less weight to large residuals. One of...

The study analyses the impacts of climate change on macro prices (food prices, interest rate, and exchange rate). Secondary data from 1960-2019 are used, and the nonlinear autoregressive distributed lag method is employed accordingly. The results reveal that there is a long-run relationship...

The purpose of this study is to examine whether we can identify a Phillips curve fit for the Kingdom of Eswatini as a low middle income Sub-Saharan Africa monarchy using data collected between 1991 and 2016. In our approach we rely on the recently introduced nonlinear autoregressive distributive...