This paper assesses the long-run bilateral trade relations between the US and Mexico. North American Free Trade Agreement (NAFTA) had no additional impacts on import functions. Gradual switching existed even before the agreement became effective. © 2002 Society for Policy Modeling. Published by Elsevier Science Inc. All rights reserved. JEL classification: F13; C22

This paper provides a theoretical fractional cointegration analysis in a nonparametric framework. We solve a generalized eigenvalues problem, extending Bierens’ (1997) approach. To this end, a couple of random matrices is constructed, distinguishing between stationary and nonstationary part of the fractional integrated process. The asymptotic behavior of such matrices is studied and convergence...

An increase in credit, especially consumption can trigger aggregate demand growth above potential output which causes the economy to heat up. This study aims analyze effect of macroeconomic variables, such as interest rates, inflation, and gross domestic product (GDP), on for property credit Indonesia with period January 2011 – December 2018. The results show that short term, rate lag 1 2, infl...

In recent decades, there has been a growing literature dealing with the empirical estimation of rate profit and other Marxian variables in several countries. Nonetheless, paucity econometric research about impact those on growth developing This article seeks to evaluate accumulation as determinants Colombia during 1967–2019, using generalized vector autoregressive model. We find that both are s...

The present study aims to examine the short-run and long-run impact of China’s trade liberalization policies on its energy demand over period from 1980 2018. results Autoregressive Distributed Lag approach co-integration show that consumption significantly increases as a result openness increase in real Gross Domestic Product (GDP). granger causality test also confirm unidirectional running GDP...

Abstract The aim of the paper is to compare forecasting performance a class statedependent autoregressive (SDAR) models for univariate time series with two alternative families nonlinear models, such as SETAR and GARCH models. study conducted on US GDP growth rate using quarterly data. Two methods forecast comparison are employed. first method consists in evaluation average by measures root mea...

This study empirically re-examines the relationship between transport infrastructure and economic growth in India for period 1990–2017. Multivariate dynamic models are applied to estimate different modes of namely road, rail air transports vector error correction model framework. The results reveal that road have significant positive contribution long-run while is insignificant. further examine...