scholarly journals Macroeconomic Impact of Migrant Workers’ Remittances in Bangladesh

2019 ◽  
Vol 15 (3) ◽  
pp. 167-188
Author(s):  
Bimal Sarkar
Keyword(s):  
Migrant Workers ◽  
Econometric Model ◽  
Least Square ◽  
First Year ◽  
Dynamic Effects ◽  
Macroeconomic Variables ◽  
Long Run ◽  
The World ◽  
Macroeconomic Impact ◽  
The Impact

Bangladesh being over populated is a cheap less-skilled and semi-skilled labor supplier country in the world and earning huge remittances from the abroad. This paper attempts to examine the dynamic effects of remittances on some important macroeconomic variables like consumption, investment, imports and economic growth in both the short and the long run in Bangladesh covering a period (1977-2014) following Nicholas P.Glytsos (2002) of Keynesian-type econometric model. The study finds using two-stage least square (2SLS) technique that one Taka increase in remittances contributes 3.15 Taka in income in Bangladesh through the impact multiplier as well as dynamic multipliers from the first year to seventh year.

An Econometric Analysis on the Relationship between Globalisation and Inequality in South Africa

2020 ◽  
Vol 11 (1) ◽  
pp. 89-89
Author(s):  
Jacques de Jongh
Keyword(s):  
South Africa ◽  
Well Being ◽  
Causality Analysis ◽  
Global Integration ◽  
Development Indicators ◽  
Long Run ◽  
The World ◽  
Distribution Of Resources ◽  
Short Run ◽  
The Impact

Globalisation has had an unprecedented impact on the development and well-being of societies across the globe. Whilst the process has been lauded for bringing about greater trade specialisation and factor mobility many have also come to raise concerns on its impact in the distribution of resources. For South Africa in particular this has been somewhat of a contentious issue given the country's controversial past and idiosyncratic socio-economic structure. Since 1994 though, considerable progress towards its global integration has been made, however this has largely coincided with the establishment of, arguably, the highest levels of income inequality the world has ever seen. This all has raised several questions as to whether a more financially open and technologically integrated economy has induced greater within-country inequality (WCI). This study therefore has the objective to analyse the impact of the various dimensions of globalisation (economic, social and political) on inequality in South Africa. Secondary annual time series from 1990 to 2018 were used sourced from the World Bank Development indicators database, KOF Swiss Economic Institute and the World Inequality database. By using different measures of inequality (Palma ratios and distribution figures), the study employed two ARDL models to test the long-run relationships with the purpose to ensure the robustness of the results. Likewise, two error correction models (ECM) were used to analyse the short-run dynamics between the variables. As a means of identifying the casual effects between the variables, a Toda-Yamamoto granger causality analysis was utilised. Keywords: ARDL, Inequality, Economic Globalisation; Social Globalisation; South Africa

Macroeconomic fundamentals and dynamics of the Indian rupee-dollar exchange rate

2015 ◽  
Vol 7 (4) ◽  
pp. 301-326 ◽  
Author(s):  
Chandan Sharma ◽  
Rajat Setia
Keyword(s):  
Exchange Rate ◽  
Structural Break ◽  
Cointegration Analysis ◽  
Least Square ◽  
Dollar Exchange Rate ◽  
Content Type ◽  
Macroeconomic Variables ◽  
Indian Rupee ◽  
Macroeconomic Fundamentals ◽  
The Impact

Purpose – This paper aims to examine the relationship between Indian rupee-US dollar exchange rate and the macroeconomic fundamentals for the post-economic reform period. Design/methodology/approach – The authors have used an empirical model which includes a range of important macroeconomic variables based on the basic monetary theories of exchange rate determination. At the first stage of the analysis, they have tested structural break in the data. Subsequently, they have employed the fully modified ordinary least square, Wald’s coefficient restriction and impulse response functions (IRF) to estimate the monetary model in the long- and short-run horizons. Findings – Results of analyses indicate that the macroeconomic fundamentals determine exchange rate in a significant way, but their effect varies sizably across the periods. The IRF illustrate the importance of interest rate in controlling exchange rate volatility. Practical implications – The analysis of the behavior of inter-relationship among macroeconomic variables will help policymakers in a deep-rooted understanding of this complex and time-varying relationship. Originality/value – Most of the existing studies have tested the impact of a single or a few macroeconomic fundamentals on exchange rate. But in the present study, we have tested the impact of a range of important variables, i.e. money supply, real income or output, price level and trade balance. Further, considering the importance of structural breaks in data, they authors have employed standard tests of structural break and incorporated the issue in the cointegration analysis.

Macroeconomic determinants of trade openness: empirical investigation of SAARC region

2018 ◽  
Vol 12 (2) ◽  
pp. 151-161 ◽  
Author(s):  
Muhammad Tahir ◽  
SAF Hasnu ◽  
Mario Ruiz Estrada
Keyword(s):  
Regional Cooperation ◽  
Labour Force ◽  
Trade Openness ◽  
Least Square Method ◽  
Least Square ◽  
Content Type ◽  
Currency Exchange ◽  
Long Run ◽  
Macroeconomic Determinants ◽  
The Impact

Purpose Trade openness plays a significant role in the growth process of countries. The purpose of this paper is to examine the impact of macroeconomic determinants on the trade openness of countries. Design/methodology/approach The study focuses on the South Asian Association for Regional Cooperation (SAARC) member countries and the data used were from 1971 to 2011. Panel data econometrics techniques and two stages least square method (TSLS) are used to carry out empirical analysis and robustness testing. Findings The main finding of the paper is that macroeconomic determinants such as investment both in physical and human capital and per capita gross domestic product (GDP) positively affect trade openness. Further, the size of labour force and currency exchange rate has also impacted trade openness negatively and significantly. Practical implications It implies that efficient macroeconomic management matters for higher trade openness. The sampled developing countries are suggested to pay favourable attention to macroeconomic variables if they want to grow in the long run through outward-oriented policies. Originality/value This paper is an original contribution in the context of SAARC countries by focusing on the relationship between macroeconomic determinants and trade openness.

scholarly journals Impacto das exportações de alta tecnologia no crescimento econômico: evidências empíricas do Paquistão

2017 ◽  
Vol 8 (1) ◽  
pp. 91 ◽  
Author(s):  
Muhammad Usman
Keyword(s):  
Economic Growth ◽  
World Bank ◽  
Time Span ◽  
Least Square ◽  
High Tech ◽  
Ordinary Least Square ◽  
Robust Standard Error ◽  
Long Run ◽  
Data Source ◽  
The Impact

The goal of this study is to explore the impact of high tech exports on economic growth of Pakistan. To examine this relationship, data are collected from World Bank database, State Bank of Pakistan data source and Statistical Bureau of Pakistan. Time span of study is consisting of 20 years from 1995 to 2014. By using ordinary least square (OLS) with robust standard error, results confirm that there is a positive and statistically significant impact of high tech exports on economic growth. Although Pakistan is an agriculture country and its economic growth is largely depend upon farming, but for long run economic growth, Pakistan has to increase its high tech exports.

scholarly journals Impact of Exchange Rate Management on the Nigerian Economic Growth: Empirical Validation

2019 ◽  
Vol 1 (2) ◽  
pp. 28-35
Author(s):  
Friday Osaru Ovenseri Ogbomo ◽  
Precious Imuwahen Ajoonu
Keyword(s):  
Economic Growth ◽  
Exchange Rate ◽  
Inflation Rate ◽  
Government Expenditure ◽  
Least Square ◽  
Ordinary Least Square ◽  
Exchange Rate Management ◽  
Long Run ◽  
Short Run ◽  
The Impact

This paper examined the impact of Exchange Rate Management on economic growth in Nigeria between 1980 and 2015. The study was set to gauge how the management of exchange rate in Nigeria has impacted the economy. The study employed the Ordinary Least Square (OLS) method in its analysis. Co-integration and Error Correction Techniques were used to establish the Short-run and Long-run relationships between economic growth and other relevant economic indicators. The result revealed that exchange rate management proxy by various exchange rates regimes in Nigeria was not germane to economic growth. Rather, government expenditure, inflation rate, money supply and foreign direct investment significantly impact on economic growth in Nigeria. It is against this backdrop that the Nigerian economy must diversify her export base to create room for more inflow of foreign exchange.  

scholarly journals The Impact of Macroeconomic Variables on Sectoral Indices in Indonesia

ETIKONOMI ◽  
2017 ◽  
Vol 16 (1) ◽  
pp. 71-80 ◽  
Author(s):  
Bambang Sutrisno
Keyword(s):  
Exchange Rate ◽  
Interest Rate ◽  
Inflation Rate ◽  
Emerging Market ◽  
Estimation Method ◽  
Least Square ◽  
Series Data ◽  
Macroeconomic Variables ◽  
The Interest Rate ◽  
The Impact

This study aims to examine the effect of macroeconomic variables on sectoral indices in the Indonesian Stock Exchange. The difference in sensitiveness among sectors is an interesting issue to investigate this relationship in an emerging market, such as Indonesia. This study employs ordinary least square (OLS) as an estimation method with monthly time-series data from January 2005 to December 2014. The results document that the interest rate, inflation rate, and exchange rate simultaneously have a significant effect on sectoral indices in Indonesia. The interest rate partially shows a significant negative influence on all sectors except basic industry and chemical, finance, infrastructure, utilities, and transportation, and miscellaneous industry sectors. The inflation rate partially has no significant effect on all sectors. The exchange rate partially has a significant negative impact on all industries.DOI: 10.15408/etk.v16i1.4323

scholarly journals Impact of Domestic Public Debt on Economic Growth - An Empirical Study in the Indian Context

2016 ◽  
Vol 6 (4) ◽  
pp. 101-116
Author(s):  
Srinivasa Rao Gangadharan ◽  
Lakshmi Padmakumari
Keyword(s):  
Economic Growth ◽  
Granger Causality ◽  
Positive Impact ◽  
Least Square ◽  
Distributed Lag ◽  
Long Run ◽  
Domestic Debt ◽  
Integration Test ◽  
Ordinary Least Square Regression ◽  
The Impact

This study is an empirical investigation to assess the impact of domestic debt on India’s Economic growth during the period 1980 – 2014. We use data on Domestic Debt, Net Fiscal Deficit, Exports, Savings, Real Gross Domestic Product, Population and Terms of Trade. This study adopts the ARDL Co-Integration and Granger Causality techniques to investigate the relation between the key variables. The study also employs various post estimation tests to validate the fitness and stability of the models based on Gauss Markov assumptions, after employing the ordinary least square regression on various models. We find that debt negatively impacts economic growth while savings has a positive impact. The Auto Regressive Distributed Lag (ARDL) technique used to test the robustness suggests existence of co-integration among the variables. However, none of the long run co-efficient is significant. The granger causality and co-integration test results support the traditional view that debt negatively impacts economic growth.

scholarly journals Relations and Emotions beyond the Boundaries in the Post Crisis Era – An Analysis of the Impact of Selected Variables on the Indian Stock Market

2018 ◽  
Vol 4 (8) ◽  
pp. 72
Author(s):  
Pooja Yadav ◽  
Nitin Huria
Keyword(s):  
Stock Market ◽  
Global Economy ◽  
Stock Index ◽  
Asia Pacific ◽  
Macroeconomic Variables ◽  
Long Run ◽  
Short Run ◽  
Current Scenario ◽  
Indian Stock Market ◽  
The Impact

From a decade or so Indian continent has become the centre of attraction in the global economies. This changed outlook is due to the fact that India embraces vast availability of resources and opportunities which makes it the most vibrant global economy in the current scenario of worldwide sluggishness. On this path of growth and prosperity India is showing stiff commitments and competitive edges with developed as well as emerging countries. To be more specific, during this voyage in the Asia pacific region recently on one side India has seen stronger bonding with some of its old mates like Japan but on the other part it has faced strain like situation from its stronger competitor contender china on the same time. Hence, in this context the main aim of this paper is to examine the long run and short run equilibrium impacts of Japan and Chinese stock index as well as macroeconomic variables impact on Indian stock market. This paper finds the presence of both long and short run equilibrium impacts from China and Japan to India. In case of Japanese financial market (Nikki 225) has a trivial negative but significant long run impact whereas, the Chinese stock index (SSE composite) is operating at the short run with the same mild negative but significant impact on the Indian stock market. The results of the impact of macroeconomic variables find the existence of long run as well as short run equilibrium from some of the selected variables on Indian stock market.

scholarly journals Macroeconomic Factors and Equity Prices: An Empirical Investigation by Using ARDL Approach

2008 ◽  
Vol 47 (4II) ◽  
pp. 501-513 ◽  
Author(s):  
Arshad Hasan ◽  
Zafar Mueen Nasir
Keyword(s):  
Empirical Studies ◽  
Testing Procedure ◽  
Bounds Testing ◽  
Macroeconomic Factors ◽  
Equity Prices ◽  
Macroeconomic Variables ◽  
Long Run ◽  
Ardl Approach ◽  
The Impact ◽  
The Relationship

The relationship between macroeconomic variables and the equity prices has attracted the curiosity of academicians and practitioners since the publication of seminal paper of Chen, et al. (1986). Many empirical studies those tested the relationship reveal that asset pricing theories do not properly identify macroeconomic factors that influence equity prices [Roll and Ross (1980); Fama (1981); Chen, et al. (1986); Hamao (1986); Faff (1988); Chen (1991); Maysami and Koh (2000) and Paul and Mallik (2001)]. In most of these studies, variable selection and empirical analyses is based on economic rationale, financial theory and investors’ intuition. These studies generally apply Eagle and Granger (1987) procedure or Johanson and Jusilieus (1990, 1991) approach in Vector Auto Regressor (VAR) Framework. In Pakistan, Fazal (2006) and Nishat (2001) explored the relationship between macroeconomic factors and equity prices by using Johanson and Jusilieus (1990, 1991) procedure. The present study tests the relationship between macroeconomic variables such as inflation, industrial production, oil prices, short term interest rate, exchange rates, foreign portfolio investment, money supply and equity prices by using Auto Regressive Distributive Lag (ARDL) bounds testing procedure proposed by Pesaran, Shin, and Smith (1996, 2001). The ARDL approach in an errorcorrection setting has been widely applied to examine the impact of macroeconomic factors on economic growth but it is strongly underutilised in the capital market filament of literature. This methodology has a number of advantages over the other models. First, determining the order of integration of macroeconomic factors and equity market returns is not an important issue here because the Pesaran ARDL approach yields consistent estimates of the long-run coefficients that are asymptotically normal irrespective of whether the underlying regressors are I(0) or I(1) and of the extent of cointegration. Secondly, the ARDL approach allows exploring correct dynamic structure while many econometric procedures do not allow to clearly distinguish between long run and short run relationships.

Which Indian Industry Benefits from FDI? A Panel Co-Integration Approach

2016 ◽  
Vol 17 (1) ◽  
pp. 58-89
Author(s):  
S. Mahalakshmi ◽  
S. Thiyagarajan ◽  
G. Naresh
Keyword(s):  
Performance Indicators ◽  
Computer Software ◽  
Economic Liberalization ◽  
Fdi Inflows ◽  
Long Run ◽  
Industry Performance ◽  
Integration Test ◽  
The World ◽  
Indian Industries ◽  
The Impact

Economic liberalization or market reforms have become the buzz word in economics all over the world in the recent years. Among various aspects of economic liberalization, foreign capital, particularly inflow of foreign direct investment (FDI) has been viewed as a main engine for economic development in the world economy. Thus this paper attempts to analyze the impact of FDI inflows on the performance of various Indian industries. Using Panel Co-integration tests namely Pedroni Residual Co-integration, Kao Residual Co-integration test and Johanson Fisher panel co-intergration tests, the presence of co-integration between FDI inflows and the performance variables of selected industries have been tested. The results of the paper reveals that there is a long run relationship between industry performance indicators and FDI only in case of services, telecom, computer software and hardware, real estate and automobile industries and in case of majority of other industries, there is no long run relationship between industry performance indicators and FDI inflow.

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