Econometric Analysis of India's Foreign Direct Investment Inflows

2018 ◽  
pp. 248-275
Author(s):  
Debesh Bhowmik
Keyword(s):  
Interest Rate ◽  
Error Correction ◽  
Structural Breaks ◽  
Inflation Rate ◽  
Trade Openness ◽  
Fdi Inflows ◽  
Vector Error Correction ◽  
Vector Error ◽  
Johansen Cointegration Test ◽  
Log Linear

In this chapter, the author explains the trend lines, random walk, stationary, structural breaks, and volatility of FDI inflows in India during 1971-2015. Both log linear and exponential trends are significant. FDI inflows are stationary and showed four structural breaks in 1985, 1994, 2000, and 2006. The author found the relation among FDI inflows, growth rate, interest rate, inflation rate, exchange rate, fiscal deficit, external debt, and trade openness with the help of Granger causality, Johansen cointegration test, and vector error correction models. Trace statistic has four cointegrating equations, and Max Eigen statistic has three cointegrating equations. The speed of the vector error correction process is more or less slow except for change in interest rate and change in inflation rate, which are significant where VECM is stable and diverging. Limitations and future scope of research is added. Policy recommendations are also included.

scholarly journals Relationship between Trade Openness and Inflation: Empirical Evidences from Pakistan (1976-2010).

2011 ◽  
Vol 50 (4II) ◽  
pp. 853-876 ◽  
Author(s):  
Sehar Munir ◽  
Adiqa Kausar Kiani
Keyword(s):  
Error Correction ◽  
Trade Openness ◽  
Value Added ◽  
Error Correction Model ◽  
Series Data ◽  
Vector Error Correction Model ◽  
Correction Model ◽  
Vector Error Correction ◽  
Unit Root Testing ◽  
Vector Error

This study empirically verifies the existence of significant relationship between inflation and trade openness for Pakistan using annual time-series data for the period of 1976 to 2010. The basic objective of this study is to examine the Romer‘s hypothesis for Pakistan with real agriculture value added, real exchange rate, real gross domestic product, financial market openness, money and quasi money and used trade openness, import openness and export openness ratios separately as explanatory variables with inflation rate as dependent variables. For this purpose, we have used multivariate Johansen (1998) and Johansen and Juselius (1990) Maximum Likelihood Cointegration Approach and a Vector Error Correction Model (VECM) and the expected empirical findings shows that there is a significant positive long-run relationship between inflation and trade openness, which rejects the existence of Romer‘s hypothesis for Pakistan. JEL classification: B26, E31, P24, P44 Keywords: Trade Openness, Inflation, Unit Root Testing, Multivariate Cointegration Approach, Vector Error Correction Model, Pakistan

scholarly journals Did Smaller Firms Face Higher Costs of Credit During the Great Recession? A Vector Error Correction Analysis with Structural Breaks

2018 ◽  
Vol 10 (3) ◽  
pp. 1
Author(s):  
Louisa Kammerer ◽  
Miguel Ramirez
Keyword(s):  
Lower Bound ◽  
Error Correction ◽  
Great Recession ◽  
Structural Breaks ◽  
Zero Lower Bound ◽  
Large Firms ◽  
Vector Error Correction ◽  
The Great Recession ◽  
Vector Error ◽  
The Cost

This paper examines the challenges firms (and policymakers) encounter when confronted by a recession at the zero lower bound, when traditional monetary policy is ineffective in the face of deteriorated balance sheets and high costs of credit. Within the larger body of literature, this paper focuses on the cost of credit during a recession, which constrains smaller firms from borrowing and investing, thus magnifying the contraction. Extending and revising a model originally developed by Walker (2010) and estimated by Pandey and Ramirez (2012), this study uses a Vector Error Correction Model with structural breaks to analyze the effects of relevant economic and financial factors on the cost of credit intermediation for small and large firms. Specifically, it tests whether large firms have advantageous access to credit, especially during recessions. The findings suggest that during the Great Recession of 2007-09 the cost of credit rose for small firms while it decreased for large firms, ceteris paribus. From the results, the paper assesses alternative ways in which the central bank can respond to a recession facing the zero lower bound.

scholarly journals Does Trade Openness Reduce Inflation? Empirical Evidence from Pakistan

2010 ◽  
Vol 15 (2) ◽  
pp. 35-50 ◽  
Author(s):  
Tahir MukhtarF
Keyword(s):  
Error Correction ◽  
Trade Liberalization ◽  
Trade Openness ◽  
Cointegration Test ◽  
Vector Error Correction Model ◽  
Correction Model ◽  
Vector Error Correction ◽  
Vector Error ◽  
Long Run ◽  
Multivariate Cointegration

One of the more celebrated propositions found in international trade is the case that trade liberalization is associated with declining prices, so that protectionism is inflationary. In line with this view, Romer (1993) postulates the hypothesis that inflation is lower in small and open economies. The objective of this study is to examine Romer’s hypothesis in Pakistan. For this purpose, we have used multivariate cointegration and a vector error correction model. The study covers the period from 1960 to 2007. The empirical findings under the cointegration test show that there is a significant negative long-run relationship between inflation and trade openness, which confirms the existence of Romer’s hypothesis in Pakistan.

scholarly journals Poverty, Unemployment and Food Insecurity: Empirical Evidence from Nigeria

2021 ◽  
pp. 107-123
Author(s):  
Onime, Bright Enakhe ◽  
Stephen Tamuno
Keyword(s):  
Food Insecurity ◽  
Error Correction ◽  
Security Policy ◽  
Cointegration Test ◽  
Infrastructure Development ◽  
Vector Error Correction ◽  
Current Period ◽  
Vector Error ◽  
Johansen Cointegration ◽  
Johansen Cointegration Test

The high incidence of poverty in Nigeria coupled with the alarming rate of unemployment has raised concerns among experts as to their likely relationship with food insecurity. This study examined the nexus between poverty, unemployment and food insecurity using the Johansen cointegration test and the vector error correction model. The result from the Johansen cointegration test suggests a long-run relationship between food insecurity, poverty and unemployment. Findings from the vector error correction analysis showed a positive but insignificant relationship between poverty and food insecurity such that a percentage change in poverty in the current period is associated with a 0.09 per cent increase in food insecurity on average, ceteris paribus. Besides, a positive and significant relationship subsists between unemployment and food insecurity where an increase in unemployment exacerbated the latter. Clearly, a 1 per cent deviation in the previous period unemployment level is associated with a 1.2 per cent degeneration of the food insecurity position in the short run. In the same vein, a 1 per cent change in unemployment in the current period causes a 1.5 per cent aggravation of food insecurity. Following the findings, this study recommends a multi sector-specific approach to solving the issue of poverty in Nigeria targeting agriculture and its employment generating capacity, creating the enabling environment through infrastructure development and improving the ease of doing business for the private sector to strive and enhance its employment generating capacities. The study concludes with a call for the implementation of a holistic food security policy targeting improvement in crop yield, internal security problems and the proper funding of agriculture to be effective.

scholarly journals Effect of Globalization on Income Inequality in Ghana

2021 ◽  
Vol 13 (2) ◽  
pp. 15
Author(s):  
Christiana Manu
Keyword(s):  
Income Inequality ◽  
Income Distribution ◽  
Positive Impact ◽  
Trade Openness ◽  
Negative Relationship ◽  
Fdi Inflows ◽  
Vector Error Correction ◽  
Vector Error ◽  
Long Run ◽  
Significant Negative Relationship

Available empirical evidence suggests that globalisation in recent years have had a significant positive impact on various sectors of most economies; however, significant evidence also exists suggesting that this economic process has also accentuated poverty and worsened income distribution in parts of some economies. This study examines the effects of foreign direct investment, trade openness and foreign remittance on income inequality in Ghana. The paper applied the vector error correction model in examining the effect of FDI inflow, foreign remittance and trade openness and income inequality in Ghana. The result indicates Foreign Remittance, FDI, Trade Openness and Gini index, are integrated of order one. Additionally, Johansen’s test for cointegration suggest a long-run relationship between the Gini coefficient (income distribution) and examined independent variables. The study also found out that foreign remittance has a significant negative relationship with Ghana’s income inequality and FDI inflows have no significant impact on Ghana’s income inequality.

scholarly journals The Use of Auto-Regressive Distributed Lag Method in Investigating The Impact of Interest Rate on Foreign Direct Investment in Yemen for the Period 1990-2018

2020 ◽  
Vol 26 (123) ◽  
pp. 145-157
Author(s):  
Saif Sallam Alhakimi
Keyword(s):  
Foreign Direct Investment ◽  
Interest Rate ◽  
Interest Rates ◽  
Direct Investment ◽  
Inflation Rate ◽  
Trade Openness ◽  
Fdi Inflows ◽  
Distributed Lag ◽  
Auto Regressive ◽  
The Impact

 Foreign direct investment has seen increasing interest worldwide, especially in developing economies. However, statistics have shown that Yemen received fluctuating FDI inflows during the period under study. Against this background, this research seeks to determine the relationship and impact of interest rates on FDI flows. The study also found other determinants that greatly affected FDI inflows in Yemen for the period 1990-2018. Study data collected from the World Bank and International Monetary Fund databases. It also ensured that the time series were made balanced and interconnected, and then the Auto Regressive Distributed Lag method used in the analysis. The results showed that the interest rates and inflation rate harmed FDI flows and, therefore, could not be used for policymaking purposes. The research also discovered that GDP growth and trade openness are the main determinants of foreign direct investment in Yemen. Trade openness policies should be encouraged, and GDP growth facilitated if the economy is to achieve long-term FDI flows. Purpose –The purpose of the paper is to discover the impact of interest rate on foreign direct investment with a combination of the exchange rate, inflation, gross domestic product, and trade openness. Design/methodology/approach – The paper implements the Auto Regressive Distributed Lag (ARDL)-Bounds testing approach to analyze maintaining the time series properties in terms of stationarity. Findings – The results indicate that there is a long-run equilibrium between the Foreign Direct Investment and the explanatory variables. Furthermore, the significant factors influencing, positively, FDI in Yemen are Growth domestic product, Exchange rate, and Trade openness. In contrast, both the Interest rate and Inflation rate have a substantial negative impact on Foreign Direct Investment. Practical implications – Policymakers in Yemen advised reconsidering many of the general state policies, including investment policies, financial and administrative governance, and monetary policy that focuses on maintaining an adequate interest rate and reduce the rate of inflation. Originality/value – As for the case of Yemen, this the first study empirically explores the impact of interest rate and the foreign direct investment using the Auto Regressive Distributed Lag method aiming for more reliable results.

Does Fiscal Deficit Affect Interest Rate in India? An Empirical Investigation

2016 ◽  
Vol 5 (2) ◽  
pp. 87-103 ◽  
Author(s):  
Ritu Rani ◽  
Naresh Kumar
Keyword(s):  
Interest Rate ◽  
Error Correction ◽  
Money Supply ◽  
Real Interest Rate ◽  
Vector Error Correction Model ◽  
Fiscal Deficit ◽  
Correction Model ◽  
Vector Error Correction ◽  
Vector Error ◽  
Long Run

Fiscal deficit above a certain limit is not good for the country because high government borrowings raise the interest rate and crowd out private investment. This article is an attempt to analyze the impact of fiscal deficit on real interest rate in India over the time period of 1980–1981 to 2013–2014. Autoregressive distributed lags bound testing approach for cointegration and vector error correction model for Granger casualty are used in a multivariate framework in which money supply and inflation are included as additional variables. Bound test results confirm the long-run equilibrium relationship among the competing variables. Further, the rate of interest and fiscal deficit are positively related with each other in long run, whereas money supply and inflation are found to be negative and statistical significant. In addition, results of vector error correction model showed that there is unidirectional causality running from inflation to real interest rate in short run. Based on the findings, it is suggested that that proper fiscal consolidation is required to control high fiscal deficit and burgeoning interest rate in India. Further, government should move from market borrowing to tax revenue to offset fiscal deficit.

MODEL PERMINTAAN UANG DI INDONESIA DENGAN PENDEKATAN VECTOR ERROR CORRECTION MODEL

2020 ◽  
Vol 5 (3) ◽  
Author(s):  
Imam Mukhlis
Keyword(s):  
Exchange Rate ◽  
Interest Rate ◽  
Error Correction ◽  
Error Correction Model ◽  
Vector Error Correction Model ◽  
Demand For Money ◽  
Correction Model ◽  
Vector Error Correction ◽  
Vector Error ◽  
Long Run

This research aims to estimate the demand for money model in Indonesia for 2005.22015.12. The variables used in this research are demand for money, interest rate, inflation, and exchange rate (IDR/US$). The stationary test with ADF used to test unit root in the data. Cointegration test applied to estimate the long run relationship between variables. This research employed the Vector Error Correction Model (VECM) to estimate the money demand model in Indonesia. The results showed that all the data was stationer at the difference level (1%). There were long run relationship between interest rate, inflation and exchange rate to demand for money in Indonesia. The VECM model could not explain interaction between explanatory variables to independent variables. In the short run, there were not relationship between interest rate, inflation and exchange rate to demand for money in Indonesia for 2005.2-2015.12.

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