scholarly journals Demand for fertilizer in Nigeria: An application of cointegration and error correction modeling

Author(s):  
ON Okoroafor ◽  
RN Echebiri ◽  
IN Nwachukwu
2007 ◽  
Vol 9 (1) ◽  
pp. 61 ◽  
Author(s):  
Rosilawati Amiruddin ◽  
Abu Hassan Shaari Mohd Nor ◽  
Ismadi Ismail

This paper purports to study the effectiveness of financial development to Malaysian economic growth utilizing quarterly data. In view of the priority given to dynamic relationship in conducting this study, Vector Autoregressive (VAR) method which encompasses Johansen-Juselius’ Multivariate cointegration, Vector Error Correction Model (VECM), Impulse Response Function (IRF), and Variance Decomposition (VDC) are used as empirical evidence. The result reveals a short-term and long-term dynamic relationship between financial development and economic growth. The importance of financial sector in influencing the economic activity is proven as a clear policy implication.


2019 ◽  
Vol 15 (2) ◽  
pp. 222-244 ◽  
Author(s):  
Simplice Asongu ◽  
Oludele Folarin ◽  
Nicholas Biekpe

Purpose The purpose of this paper is to investigate the stability of demand for money in the proposed Southern African Monetary Union (SAMU). Design/methodology/approach The study uses annual data for the period 1981 to 2015 from ten countries making-up the Southern African Development Community. A standard function of demand for money is designed and estimated using a bounds testing approach to co-integration and error-correction modeling. Findings The findings show divergence across countries in the stability of money. This divergence is articulated in terms of differences in cointegration, CUSUM (cumulative sum) and CUSUMSQ (CUSUM squared) tests, short run and long-term determinants and error correction in event of a shock. Policy implications are discussed in the light of the convergence needed for the feasibility of the proposed SAMU. Originality/value This study extends the debate in scholarly and policy circles on the feasibility of proposed African monetary unions.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Mohsen Bahaman-Oskooee ◽  
Hesam Ghodsi ◽  
Muris Hadzic

Purpose The purpose of this study is to assess the symmetric and asymmetric impact of a measure of policy uncertainty on house permits issued in each state of the USA. Design/methodology/approach To assess the symmetric effects, the authors use Pesaran et al.’s (2001) linear autoregressive distributed lag (ARDL) approach to error-correction modeling. To assess the asymmetric effects, they rely upon Shin et al.’s (2014) nonlinear ARDL approach to error-correction modeling. Both approaches have the advantage of producing short-run and long-run effects in one step. Findings The authors find short-run symmetric effects of policy uncertainty on house permits issued in 22 states that lasted into the long run in three states only. However, the numbers were much higher when they estimated the possibility of asymmetric effects of policy uncertainty. Indeed, they found short-run asymmetric effects in 38 states and long-run asymmetric effects in 18 states. Originality/value Some previous studies assessed the effects of a measure of policy uncertainty on house prices. In this paper, the authors extend the same analysis to the supply side of the housing market by assessing the effects of policy uncertainty on house permits in each state of the USA.


1999 ◽  
Vol 219 (3-4) ◽  
Author(s):  
Cord Brannolte ◽  
Gerd Hansen ◽  
Jeong-Ryeol Kim

SummaryNonlinear dynamics in the term structure of German interest rates resulting from heterogenous transaction costs in the money market are analysed by means of the smooth transition technique introduced by Granger and Teräsvirta (1993). Tests for linearity, specific functional forms and outliers are performed. Evidence is found indicating that the term structure is somewhat better described as a nonlinear cointegrated model instead of a linear one.


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