DETERMINANTS OF INFLATION IN PAKISTAN: AN ECONOMETRIC ANALYSIS USING JOHANSEN CO-INTEGRATION APPROACH

2011 ◽  
Vol 01 (05) ◽  
pp. 71-82
Author(s):  
Furrukh Bashir ◽  
Shahbaz Nawaz ◽  
Kalsoom Yasin ◽  
Usman Khursheed ◽  
Jahanzeb Khan ◽  
...  
Keyword(s):  
Gross Domestic Product ◽  
Price Index ◽  
Price Level ◽  
Consumer Price Index ◽  
Domestic Product ◽  
Government Expenditures ◽  
Government Revenue ◽  
Macroeconomic Variables ◽  
Long Run ◽  
Short Run

Inflation is regarded as regressive taxation against the poor. The most visible impact of inflation in recent times is its effect on real output, relative prices, taxes and interest rates. The study focuses to examine demand side and supply side determinants of inflation in Pakistan on economic and econometric criterion and also to investigate causal relationships among some macroeconomic variables. For that purpose, study has undertaken time series data for the period from 1972 to 2010. Long run and short run estimates have been investigated using Johansen Co-integration and Vector Error Correction approached. Causal relationships have been observed using Granger causality test. Data on macroeconomic variables have been selected from Handbook on Statistics of Pakistan 2010. The findings of the study reveal that in the long run consumer price index has found to be positively influenced by money supply, gross domestic product, imports and government expenditures on the other side government revenue is reducing overall price level in Pakistan. Long run elasticities of Price level with respect to money supply, gross domestic product, government expenditures, government revenue and imports are 0.61, 0.73, 0.32, -1.37 and 0.41 respectively. In the short run, last year consumer price index and two years before government revenue are directly involved in enhancing consumer price index of current year. Improvement in gross domestic product and government expenditures is necessary but it is suggested that there should be optimal level for all of them so that price level should be stable.

ATTAINMENT OF HIGHER ENROLLMENT RATES IN PAKISTAN: A MACROECONOMIC AND ECONOMETRIC STUDY

2012 ◽  
Vol 01 (07) ◽  
pp. 17-29
Author(s):  
Furrukh Bashir ◽  
Shahbaz Nawaz ◽  
Rahat Ullah ◽  
Muhammad Ramzan Arshad ◽  
Munwar Bagum ◽  
...  
Keyword(s):  
Labor Force ◽  
Health Expenditure ◽  
Price Index ◽  
Consumer Price Index ◽  
Government Expenditure ◽  
Government Revenue ◽  
Long Run ◽  
University Enrollment ◽  
Enrollment Rates ◽  
Short Run

Education is always considered as the major determinant for the development of any economy. Enrollment at various levels also shows that how much education is common within the citizens of the country. Considering the importance of enrollment, the current study examines the influence of some macroeconomic variables on various levels i.e. primary, secondary, higher, college, professional and university enrollment in Pakistan. Time series data has been gathered on consumer price index, government revenue, employed labor force, government expenditure, and health expenditure for the period from 1972 to 2010. For long run estimates, Johansen Co integration test is used and short run estimates are taken through error correction model. The results of the study exhibit positive association of employed labor force, government expenditure and health expenditure with primary, secondary, higher, college, professional and university enrollment in Pakistan. On the other side, consumer price index and government revenue have been found to be inversely influencing enrollment at various levels. Short run results are also much favorable for the economy and reveals convergence towards long run equilibrium due to any disturbances in the short run period. At the end study gives some policy implications that government should decrease consumer price index and tax rate and to increase government expenditure in terms of education and health for higher enrollment rates in Pakistan.

Infrastructure Investment and Economic Growth: Evidence from India

2016 ◽  
Vol 17 (1) ◽  
pp. 90-111
Author(s):  
Naliniprava Tripathy ◽  
Maram Srikanth ◽  
Lagesh Aravalath
Keyword(s):  
Economic Growth ◽  
Gross Domestic Product ◽  
Error Correction ◽  
Capital Formation ◽  
Domestic Product ◽  
Government Revenue ◽  
Indian Economy ◽  
Long Run ◽  
Domestic Capital ◽  
Short Run

This study examines the long-run and short-run relationship between investment in infrastructure and economic growth in the Indian economy by using Auto Regressive Distributed Lag Model, Error Correction Model, and Granger Causality Test. The study reports that there is no short-run relationship among gross domestic product, gross domestic capital formation, revenue of the governmentand exports. However, the study finds that unidirectional causality exists between employment and gross domestic product; gross domestic productandinflation. It implies that employmentlevel in organised sector and inflationinfluence the economic growth in India for a short period. The study finds that there is a long-run relation exists between economic growth, domestic investment, inflation and government revenue. Therefore, emphasis should be placed on capital formation, government income and inflation to accelerate growth and development in the Indian economy. The error correction term is indicating that long term relationship is stable and any disequilibrium created in short termwill be temporary and will correct over a period. However, it is suggested to maintain balance among inflation,gross domestic product, employment, exports, savings, investment and government revenue to keep an economy growing. These findings have important policy implications since an economy built on investment in infrastructural development.

Analysis and Research on Economic Management Statistics Based on SPSS

2014 ◽  
Vol 687-691 ◽  
pp. 5157-5160
Author(s):  
Yun Peng Duan ◽  
Li Min Si ◽  
Xin Wang
Keyword(s):  
Gross Domestic Product ◽  
Price Index ◽  
Price Level ◽  
Consumer Price Index ◽  
Retail Price ◽  
Domestic Product ◽  
Human Society ◽  
Industrial Output ◽  
Economic Management ◽  
Total Energy Consumption

Economic development is one of the targets of the whole human society. In macroeconomic theory, the developments of the economy are largely driven by consumption, investment, government purchases. In economic theory, we usually use to describe the development of economy, GDP and GDP will be affected by the price level. To measure the price level, we generally use the consumer price index, commodity retail price index to describe; Investment is usually measured with fixed asset investment and gross value of industrial output. In this article, through nearly 20 years in China's gross domestic product (GDP) and gross domestic product (GDP) of some important indicators, such as the residents' consumption level, the fiscal expenditure, gross value of industrial output and commodity retail price index, the consumer price index, urban residents' income, rural residents income, such as the total energy consumption data, using SPSS software to provide the descriptive analysis, factor analysis, regression analysis and other methods of data carried on the thorough analysis, and analysis the problems reflected by some targeted Suggestions are given.

Dampak Penerapan Perbankan Syari’ah Terhadap Pertumbuhan Ekonomi Negara: Kajian Perbandingan Malaysia dan Indonesia

2017 ◽  
Vol 1 (1) ◽  
pp. 37
Author(s):  
Hansen Rusliani
Keyword(s):  
Gross Domestic Product ◽  
Response Function ◽  
Price Index ◽  
Vector Autoregression ◽  
Consumer Price Index ◽  
Domestic Product

Penelitian ini bertujuan untuk mengetahui dampak perbankan syari’ah terhadap pertumbuhan ekonomi di Indonesia dan Malaysia. Data yang digunakan dalam penelitian ini merupakan data primer (interview) dan data sekunder dalam bentuk bulanan yang diperoleh dari Badan Pusat Statistik Ekonomi dan Keuangan Indonesia Bank Indonesia (SEKI-BI) dan Statistik Perbankan Syari’ah Bank Indonesia (SPS-BI) serta data dari Bank Negara Malaysia dan Departemen Statistik Malaysia dalam periode waktu kurun waktu 16 tahun, 2000 sampai dengan 2015. Observasi penelitian dilakukan di Indonesia dan Malaysia untuk memperkaya analisis. Penelitian ini menggunakan Vector Autoregression (VAR), Uji Kointegrasi serta dikombinasikan dengan Response Function (IRF) dan Decomposition (FEVD) untuk melihat interaksi antara faktor makro ekonomi dengan pembiayaan dalam jangka panjang. Adapun variabel yang digunakan adalah total pembiayan syari’ah (Total Syari’ah Financing) dan Gross Domestic Product (GDP) sebagai representasi pertumbuhan ekonomi. Untuk tambahan variabel digunakan Consumer Price Index (CPI) sebagai representasi tingkat inflasi. Hipotesis penelitian yaitu terdapat pertumbuhan ekonomi setiap tahunnya dikedua negara tersebut pasca krisis moneter.

scholarly journals Evaluación del índice económico de Colombia para el período 2020 a 2022 con redes neuronales artificiales

2020 ◽  
Vol 42 (1) ◽  
pp. 25-33
Author(s):  
Valeria Alejandra Bustamante Zuleta ◽  
Hermes Jackson Martinez Navas
Keyword(s):  
Neural Networks ◽  
Artificial Neural Networks ◽  
Gross Domestic Product ◽  
Price Index ◽  
Consumer Price Index ◽  
Oil Price ◽  
Domestic Product ◽  
Positive Effects ◽  
Market Rate ◽  
Macroeconomic Indicators

This article analyze some of the important macroeconomic indicators in Colombia,such as the Consumer Price Index (CPI), the Gross Domestic Product (GDP), the Representative Market Rate (TRM), the Oil Price (BRENT and WIT) and COLCAP. The objective is to study Colombia's economic.The analysis were obtained with artificial neural networks on Colombian indicators data for the period 2001 to 2018 of the National Administrative Department of Statistics (DANE) and Bloomberg. Concluding, for Colombia, the last two cases are highly favorable for the economy, because they will generate a greater influx of dollars, allowing positive effects on the domestic product and the consumer price index.

scholarly journals The Nexus Between Monetary Policy and Economic Growth in Pakistan: Empirical Evidence Based on Bound Test Approach

2021 ◽  
Vol 4 (3) ◽  
pp. 613-624
Author(s):  
Mahmood Ul Hassan ◽  
Hina Ali ◽  
Saeed Ur Rahman ◽  
Sabiha Parveen
Keyword(s):  
Economic Growth ◽  
Exchange Rate ◽  
Gross Domestic Product ◽  
Money Supply ◽  
Price Index ◽  
Negative Impact ◽  
Consumer Price Index ◽  
Domestic Product ◽  
Series Data ◽  
Bound Test

The objective of this research is to examine the monetary policy's impact on economic growth. Variables of study are Gross domestic product, Inflation, rate of interest, Exchange rate, Money supply, Investment, and Consumer Price Index and time series data is collected from. Gross domestic product is a dependent variable and all other variables are independent and have a great effect on the explanatory variable. In this study, the Augmented dicky fuller test is used to check out the stationarity of our selected variables and after that autoregressive distributed lag model co-integration technique is applied to estimate the parameters of the model. The result shows that inflation, interest rate, and consumer price index show a negative impact on gross domestic product. While other variables such as exchange rate, money supply, and investment show a positive impact on GDP. The study recommended that the desired level of output and employment can be attained by adopting sufficient strategies that reduce inflation in the economy.

scholarly journals Applying the ARIMA Model to the Process of Forecasting GDP and CPI in the Jordanian Economy

2021 ◽  
Vol 12 (3) ◽  
pp. 70
Author(s):  
Abdullah Ghazo
Keyword(s):  
Time Series ◽  
Economic Policy ◽  
Gross Domestic Product ◽  
Economic Activity ◽  
Price Index ◽  
Arima Model ◽  
Consumer Price Index ◽  
Decision Makers ◽  
Domestic Product

Gross Domestic Product (GDP) and consumer price index (CPI) are significant indicators to describe and evaluate economic activity and levels of development. They are also often used by decision makers so as to plan economic policy. This paper aims at modeling and predicting GDP and CPI in Jordan. In order to achieve this goal, the study applied the Box- Jenkins (JB) methodology for the period 1976-2019. Based on the results, ARIMA (3,1,1) found to be the best model for the GDP. In addition, ARIMA (1,1,0) was the best model for forecasting the CPI. The results were supported with the findings of the stationarity and identification rules test of time series under using AIC and SIC criterion. The forecasted values of the GDP and the CPI for the next three years (2020-2022) were (29342.12, 32095.10, 35106.36 million JD) and (128.31, 133.28, 139.28) respectively. Compared with 2019, the GDP is forecasted to decrease in 2020, while the CPI is forecasted to increase in 2020. This implies that the Jordanian economy is tending toward stagflation. After 2020, both GDP and CPI increased, which indicates that Jordanian economy is tending toward cost-push inflation.

Analysis of Relationships and Causality between Consumer Price Index (CPI), the Producer Price Index (PPI) and Purchasing Manager’s Index (PMI) in South Africa

2018 ◽  
Vol 10 (6) ◽  
pp. 25 ◽  
Author(s):  
Daniel Francois Meyer ◽  
Thomas Habanabakize
Keyword(s):  
South Africa ◽  
Price Index ◽  
Econometric Model ◽  
Consumer Price Index ◽  
Economic Research ◽  
Producer Price ◽  
Correction Model ◽  
Producer Price Index ◽  
Long Run ◽  
Short Run

The variables the consumer price index (CPI), the producer price index (PPI) and the purchasing managers’ index (PMI) and play major roles in economic forecasting. The overall objective of this study is to assess the inter-relationships between CPI, PPI and PMI as predicting variables. This study is quantitative in nature and employed an ARDL econometric model, error correction model (ECM) and Granger causality approaches to establish long and short-run relationships. The ARDL method was used due to the fact that the variables had a mix of stationarity at levels I (0) and the first difference I (1). Quarterly datasets were obtained from Statistics South Africa (Stats SA) and the Bureau of Economic Research (BER) for the period 2000 to 2017. Results from the estimations discovered that variables cointegrate in the long-run. Additionally, evidence of short-run relationships has been determined using ECM. Furthermore, causal relationships were also analysed with results indicating that CPI causes PMI and PPI causes PMI. The implication of the research is the confirmation of the importance of relationships between CPI, PPI and PMI, which is especially significant in the short-run and the three index indicators are important macro-economic indicators for changes in overall economic activity on a macro level.

scholarly journals Empirical Analysis of House Price Bubble: A Case Study on Malaysia

2016 ◽  
Vol 11 (12) ◽  
pp. 127
Author(s):  
Fong Kean Yan ◽  
Yap Lya Keng ◽  
Kwek Kien Teng
Keyword(s):  
Gross Domestic Product ◽  
House Prices ◽  
House Price ◽  
Domestic Product ◽  
Price Bubble ◽  
Long Run ◽  
Residential Properties ◽  
Short Run ◽  
Per Capita ◽  
House Price Bubble

The main objective of this research is to investigate the relationship between house price with macroeconomics variables - Gross Domestic Product per capita, inflation rate, Base Lending Rate and amount of household loan disbursed for purchase of residential properties. We try to use these variables to examine if they could trigger a housing bubble to burst in Malaysia. Granger Causality results show that there is univariate relationship from house price to Gross Domestic Product per capita. Though house price and other macroeconomics variables do not Granger–cause each other in short run, but these variables are cointegrated in the long run, i.e. there is no evidence of house price bubble in Malaysia. We suggest that soaring house prices in Malaysia is being supported by the large inflow of foreign funds into the housing sector and the unresponsive supply of houses.

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