scholarly journals The Interaction Between Area and Production of Food Grain Crops in India : An Empirical Evidence from ADRL Bounds Test Cointegration

2021 ◽  
Author(s):  
RAJARATHINAM A ◽  
Subha S S
Keyword(s):  
Ordinary Least Squares ◽  
Least Square ◽  
Model Parameters ◽  
Cumulative Sum ◽  
Ordinary Least Square ◽  
Grain Crops ◽  
Long Run ◽  
Bounds Test ◽  
Food Grain ◽  
Recursive Residuals

Abstract This paper demonstrates a significant long-run relationship between area and productions of Food grain crops grown in India during the period 1950-2018. Stability of the estimated model parameters are studied . To assess the consistency of the model parameters the cumulative sum of recursive residuals test and the cumulative sum of recursive residuals squares tests are used.Additionally, cointegration equations such as the Fully Modified Ordinary Least Square Dynamic Ordinary Least Squares, and Canonical Cointegration Regression are applied to check the long-run elasticities in the concerned relationship.

scholarly journals AGRICULTURE EXPORT STIMULANT TO THE ECONOMIC AND FINANCIAL PERFORMANCE OF PAK

2021 ◽  
Vol 9 (2) ◽  
pp. 572-580
Author(s):  
Shaikh Muhammad Saleem ◽  
Muhammad Asif Shamim ◽  
Sayma Zia ◽  
Syed Waqar-ul-Hassan
Keyword(s):  
Economic Growth ◽  
Developing Economies ◽  
Least Square ◽  
Policy Implications ◽  
Series Data ◽  
Cumulative Sum ◽  
Agricultural Export ◽  
Ordinary Least Square ◽  
Agricultural Exports ◽  
Long Run

Purpose: The study examines how agricultural exports boost the economic growth of Pakistan in the long run and suggest policy implications during 1995-2018 using time series data. Methodology: Principal Component Analysis is used to construct an agricultural export index consisting of rice, raw cotton, fruits, and vegetables as variables. This quantitative study checked the structural stability of the model with cumulative-sum & cumulative-sum of the square. Rolling window analysis highlights the long-run yearly effect of the coefficient of the model. The result of variance decomposition method proof bidirectional causality where robust result proof using Fully modified ordinary least square and Dynamic ordinary least square techniques. Unit root at first difference proof stationery whereas cointegration has a long-run relationship between agricultural export and economic growth. Main Finding: The statistical estimation proofs the positive long-run association of agricultural exports with economic growth. Results explored a 26 percent increase in the economy of Pakistan by exporting agricultural goods. Application of this Study: This study helps to develop the economies if they face problems of low agricultural productivity. The agricultural export is sensitive to domestic indicators, and domestic policy can promote agricultural export, and create new potential markets. The originality of the Study: The study is suggested the agriculture techniques and their performance in developing economies.

The Dynamics of Cointegration Between Economic Growth and Financial Development in Emerging Asian Economy: Evidence from India

2021 ◽  
pp. 097226292110118
Author(s):  
Naliniprava Tripathy ◽  
Shekhar Mishra
Keyword(s):  
Economic Growth ◽  
Financial Development ◽  
Consumer Price Index ◽  
Control Variable ◽  
Weighted Average ◽  
Ordinary Least Squares ◽  
Cumulative Sum ◽  
Ardl Bounds Test ◽  
Long Run ◽  
Bounds Test

The present article examines the relationship between economic growth and financial development in the context of Indian economy over the period of 15 years from June 2003 to February 2018. The study employs cointegration test, involving Johansen Juselius Cointegration and autoregressive distributed lag (ARDL) Bounds test approach to ascertain the long-run relationship between financial development and economic growth. The study further employs fully modified ordinary least squares—OLS—(FMOLS), dynamic OLS (DOLS) and canonical cointegration regression (CCR) models to ascertain the sensitivity and robustness of the estimates derived from ARDL Bounds test approach. The stability of the models employed in the study are further confirmed by rolling window analysis and the cumulative sum (CUSUM) and cumulative sum of squares (CUSUMSQ) tests. The outcome of the article reports the existence of long-run equilibrium relationship between economic growth represented by Index of Industrial Production and Financial Development represented by the Bombay Stock Exchange (BSE) Index and BSE Volume of Trade. The article also involves consumer price index as proxy for inflation, exchange rate, ratio of export to import and weighted average call rate as control variable to also examine their impact on the Indian economic growth. The study confirms the existence of Supply Leading Hypothesis, that is, existence of unidirectional causality running from financial development to economic growth in the Indian economic scenario. The outcome of the article indicates the positive and significant influence of development of financial markets represented by stock market on the economic growth.

scholarly journals Banking Sector Development, Inflation and Economic Growth in Asian Countries: A Panel Causality and Co-Integration Approach

2018 ◽  
Vol 8 (4) ◽  
pp. 384
Author(s):  
Muhammad Imran Nazir ◽  
Rehana Tabassam ◽  
Ifran Khan ◽  
Muhammad Rizwan Nazir
Keyword(s):  
Economic Growth ◽  
Banking Sector ◽  
Vital Role ◽  
Least Square ◽  
Policy Implications ◽  
Asian Countries ◽  
Ordinary Least Square ◽  
Long Run ◽  
Banking Sector Development ◽  
Integration Test

This study investigates the causal relationship between banking sector development, inflation, and economic growth for six Asian countries (Bangladesh, China, India, Malaysia, Pakistan and Sri Lanka) over the period of 1970-2016. Using a Pedroni panel, Kao co-integration test, Panel Granger causality-based Error Correction Model, Dynamic ordinary least square (DOLS), and Fully modified ordinary least square (FMOLS), this study finds that the development of the banking sector generally has a positive relationship with economic growth in the long-run. This results show that in the long-run, monetary policy play a vital role in the economic growth. This study also confirmed the response causality between the indicators of banking sector development and economic growth. Based on the empirical findings, this research provides important policy implications to the banking sector and economic supervisory bodies in order to achieve the long run economic growth.

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 KAJIAN METODE ORDINARY LEAST SQUARE DAN ROBUST ESTIMASI M PADA MODEL REGRESI LINIER SEDERHANA YANG MEMUAT OUTLIER

2020 ◽  
Vol 11 (1) ◽  
pp. 21
Author(s):  
Zahrotul Aflakhah ◽  
Jajang Jajang ◽  
Agustini Tripena Br. Sb.
Keyword(s):  
Full Article ◽  
Regression Model ◽  
Sample Size ◽  
Regression Models ◽  
Estimation Method ◽  
Ordinary Least Squares ◽  
Least Square ◽  
Simple Linear Regression ◽  
Ordinary Least Square ◽  
M Estimation

This research discusses about the Ordinary Least Squares (OLS) method and robust M-estimation method; compare between the Tukey bisquare and Huber weighting from simple linier regression models that contain outliers. Data are generated through simulation with the percentages of outliers and sample sizes. Each data will be formed into a simple linier regression model, then the percentage of outliers, RSE and MAD values are calculated. The results show that RSE and MAD values produced by a simple linear regression model with the OLS method are influenced by the percentage of outliers. However, the regression model of robust M-estimation with sample size 30, 60, 90, 120, and 150 results an unstable RSE values with the change of the percentage of outlier and the MAD values that are not affected by the percentage of outliers and sample size. The robust M-estimation method with Tukey Bisquare weighting is as good as the Huber weighting. Full Article

scholarly journals DAMPAK SOSIAL EKONOMI PENGGUNA JALAN AKIBAT KEMACETAN LALU LINTAS DI ZERO POINT KOTA MANADO

2019 ◽  
Vol 19 (7) ◽  
Author(s):  
Munazar R Muari'F ◽  
Vecky A.J. Masinambow ◽  
Tri Oldy Rotinsulu
Keyword(s):  
Government Spending ◽  
Zero Point ◽  
Ordinary Least Squares ◽  
Least Square ◽  
Transport Sector ◽  
Economic Sectors ◽  
Role Of Government ◽  
Ordinary Least Square ◽  
Main Components ◽  
Direct Expenditure

ABSTRAKSektor tranportasi merupakan salah satu komponen utama dalam peningkatan arus perekonomian, baik untuk memaksimalkan potensi daerah yang selama ini dimiliki namun juga untuk membuka sektor-sektor ekonomi baru yang berujung pada  peningkatan perekonomian sebuah daerah.Guna memanfaatkan potensi-potensi yang dimiliki maupun membuka potensi-potensi perekonomian yang baru maka peran serta pemerintah dalam mengatur alokasi belanjanya perlu untuk lebih dimaksimalkan. Untuk melihat seberapa besar pengaruh belanja pemerintah dalam bentuk belanja langsung dan belanja tidak langsung mempengaruhi peningkatan sub-sektor transportasi.Penelitian ini menggunakan Ordinary least square dengan  metode regresi berganda, dari hasil penelitian didapatkan hasil r square sebesar  96,7. Dengan hasil ini maka dapat terlihat pengaruh belanja pemerintah terhadap peningkatan sub-sektor transportasi hampir mencapai angka 97 persen, yang artinya hanya tersisa 3 persen tingkat pengaruh variabel lain. Kata kunci : Belanja Langsung (BL), Belanja Tidak Langsung (BTL), Otonomi, Transportasi ABSTRACT                    Transport sector is one of the main components to increase the flow of the economy, to maximize the potential of the area that had been held, but also to open up new economic sectors which resulted in an increase in the economy of a region.               In order to utilize the potential that may or unlock the potential of the new economy, the role of government in regulating the allocation of spending needs to be maximized. To see how much influence government spending in the form of direct expenditure and indirect expenditure affect the improvement of the transport sub-sector.               This study using the Ordinary least squares multiple regression method, the result showed the the r-square of  96.7. With that, it can be seen the effect of government spending to increase transport sub-sector almost reached 97 percent, which means that only the remaining 3 percent the level of influence of other variables. Keywords: Direct Expenditure, Indirect Expenditure, Autonomy, Transportation

scholarly journals Trade Balance and Exchange Rate in Thailand & the Implications for Vietnam: An Application using Instrumental Variable and the Heterogeneous Panel Cointegration Methods

2016 ◽  
Vol 23 (01) ◽  
pp. 137-160
Author(s):  
Anh Vo The ◽  
Duc Vo Hong
Keyword(s):  
Exchange Rate ◽  
Trade Balance ◽  
Panel Cointegration ◽  
Least Square ◽  
Monetary Policies ◽  
Ordinary Least Square ◽  
Long Run ◽  
Trading Partners ◽  
The Exchange Rate ◽  
Heterogeneous Panel

This study aims to investigate the link of trade balance and exchange rate for the case of Thailand in different aspects by initially attempting to examine what factors determine the trade balance in Thailand and then to test the long-run relationship between the exchange rate and Thailand’s trade balance. The empirical findings indicate that the exchange rate and relative growth rate of income play central roles in explaining Thailand’s trade balance, and fiscal and monetary policies are beneficial in some cases. Additionally, panel fully modified ordinary least square (FMOLS) estimations illustrate that a devaluation of Thailand Baht offers a significantly positive improvement on its trade balance in the long run, especially for the groups of countries with upper middle and high income in America and Europe. Individual FMOLS regressions of Thailand’s trade balance and each of its 62 trading partners suggest that a devaluation of Thailand’s currency would stimulate Thailand’s trade performance with over 20 trading partners, but hurt its performance with the other 10 countries and be inconclusive to the others.

Robust Weighted Least Squares Estimation of Regression Parameter in the Presence of Outliers and Heteroscedastic Errors

2014 ◽  
Vol 71 (1) ◽  
Author(s):  
Bello Abdulkadir Rasheed ◽  
Robiah Adnan ◽  
Seyed Ehsan Saffari ◽  
Kafi Dano Pati
Keyword(s):  
Linear Regression ◽  
Least Squares ◽  
Robust Regression ◽  
Weighted Least Squares ◽  
Ordinary Least Squares ◽  
Least Square ◽  
Model Parameters ◽  
Constant Variance ◽  
Regression Parameters ◽  
M Estimation

In a linear regression model, the ordinary least squares (OLS) method is considered the best method to estimate the regression parameters if the assumptions are met. However, if the data does not satisfy the underlying assumptions, the results will be misleading. The violation for the assumption of constant variance in the least squares regression is caused by the presence of outliers and heteroscedasticity in the data. This assumption of constant variance (homoscedasticity) is very important in linear regression in which the least squares estimators enjoy the property of minimum variance. Therefor e robust regression method is required to handle the problem of outlier in the data. However, this research will use the weighted least square techniques to estimate the parameter of regression coefficients when the assumption of error variance is violated in the data. Estimation of WLS is the same as carrying out the OLS in a transformed variables procedure. The WLS can easily be affected by outliers. To remedy this, We have suggested a strong technique for the estimation of regression parameters in the existence of heteroscedasticity and outliers. Here we apply the robust regression of M-estimation using iterative reweighted least squares (IRWLS) of Huber and Tukey Bisquare function and resistance regression estimator of least trimmed squares to estimating the model parameters of state-wide crime of united states in 1993. The outcomes from the study indicate the estimators obtained from the M-estimation techniques and the least trimmed method are more effective compared with those obtained from the OLS.

Panel Data Analysis of Financial Development, Trade Openness, and Economic Growth: Evidence from BRICS Countries

2018 ◽  
Vol 4 (1) ◽  
pp. 1-18 ◽  
Author(s):  
Ritu Rani ◽  
Naresh Kumar
Keyword(s):  
Economic Growth ◽  
Trade Openness ◽  
Panel Cointegration ◽  
Least Square ◽  
Cointegration Test ◽  
Ordinary Least Square ◽  
Brics Countries ◽  
Long Run ◽  
Panel Granger Causality ◽  
Panel Cointegration Test

The purpose of this article is to investigate the possible cointegration and direction of causality between foreign direct investment (FDI) inflow, trade openness, and economic growth in BRICS countries using panel data from 1993 to 2015. Besides these variables, money supply and domestic credit (DC) to private players are also added in the model to examine the impact of financial openness on economic growth. The Pedroni’s panel cointegration test is used to examine the existence of long-run relationship, and coefficients of cointegration are examined by fully modified ordinary least square (FMOLS) and dynamic ordinary least square (DOLS). Further panel Granger causality test is used to examine the direction of causality among the competing variables. The results of Pedroni’s panel cointegration test indicate that there exists a long-run relationship among the variables under considerations in BRICS countries. The coefficient of FMOLS and DOLS indicates that trade openness has a positive impact on economic growth in BRICS countries while FDI inflow has a negative impact in these nations. In addition, the results of panel Granger causality confirmed bidirectional causality between FDI inflow and economic growth in the short run. The study recommends that BRICS countries should liberalize trade openness as it strengthens the position of member countries in the world economy.

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