scholarly journals A Study of Linkages between Fiscal Decentralization and Macroeconomic Performance in Pakistan (2000-2015)

2019 ◽  
Vol IV (IV) ◽  
pp. 219-228
Author(s):  
Ghulam Muhammad Mangnejo ◽  
Muhammad Saleem Rahpoto
Keyword(s):  
Time Series ◽  
Empirical Study ◽  
Time Series Data ◽  
Fiscal Decentralization ◽  
Series Data ◽  
Estimation Technique ◽  
Macroeconomic Performance ◽  
Resources Sharing ◽  
The Empirical Analysis ◽  
Stated Purpose

This study has mainly examined the association “between Fiscal decentralization and Macroeconomic performance in” Pakistan. “The time series data 1980 to 2018 has been used for the above-stated purpose”. This empirical study has used the Eviews9 software and estimation technique regression for the empirical analysis. “The study has found the significant association between Macroeconomic performance and fiscal decentralization in the” country. The “chief variables of fiscal decentralization are revenue transfer to the provinces and revenue generated by federating units and results of both variables” suggest the higher extent of fiscal devolution. The horizontal resource distribution mechanism among the provinces and vertical resources sharing method between provinces and federal has remained a very hot and blistering subject of debate since the inception of the country.

Clustering stock price time series data to generate stock trading recommendations: An empirical study

2017 ◽  
Vol 70 ◽  
pp. 20-36 ◽  
Author(s):  
Binoy B. Nair ◽  
P.K. Saravana Kumar ◽  
N.R. Sakthivel ◽  
U. Vipin
Keyword(s):  
Time Series ◽  
Empirical Study ◽  
Stock Price ◽  
Time Series Data ◽  
Series Data ◽  
Stock Trading

scholarly journals Workers' Remittances and Growth Linkages in Pakistan

2016 ◽  
Vol 2 (2) ◽  
pp. 81-92
Author(s):  
Fouzia Yasmin ◽  
Muhammad Zahir Faridi ◽  
Hina Ali ◽  
Adnan Yasin
Keyword(s):  
Time Series ◽  
Data Analysis ◽  
Time Series Data ◽  
Developed Countries ◽  
Least Square ◽  
Series Data ◽  
Estimation Technique ◽  
Least Square Estimation ◽  
Ordinary Least Square ◽  
The Right

Remittances are considered as the cash inflows to the economy and are imperative international source of revenue for most of the less developed countries (LDCs). For data analysis, the Ordinary least square estimation technique was employed to the time series data for the years 1981 to 2010. This research comes with the conclusion that level of GDP is positively associated with the worker's remittances and the findings also support the optimistic view of remittances. It is suggested that govt. should take serious steps and proper measures to utilize the workers' remittances so, that the economy will be on the right track towards the development.  

scholarly journals Determinants of Regional Economics Growth

2020 ◽  
Vol 35 (1) ◽  
pp. 52
Author(s):  
Sri Nawatmi ◽  
Agung Nusantara ◽  
Agus Budi Santosa
Keyword(s):  
Economic Growth ◽  
Time Series ◽  
Cross Section ◽  
Time Series Data ◽  
Fiscal Decentralization ◽  
Regional Economics ◽  
Fixed Effect ◽  
Regional Economic Growth ◽  
Series Data ◽  
Regional Economic

<p>This study aims to determine what factors influence regional economic growth. The analysis technique used is to combine time series data and cross-section (pooling data). Time-series data from 2015 - 2017 and cross section data consisting of 34 provinces in Indonesia. The results of the model test using the redundant fixed effect test and random effect-Hausman test show that the best model is the fixed effect model (FEM). Regression results show that only the HDI (Human Development Index) variable is not significant, the other variables (fiscal decentralization, capital, and labor) have a significant positive effect on regional economic growth.</p>

Graphical Exploratory Data Analysis for Categorical Longitudinal and Time Series Data

2013 ◽  
Author(s):  
Stephen J. Tueller ◽  
Richard A. Van Dorn ◽  
Georgiy Bobashev ◽  
Barry Eggleston
Keyword(s):  
Time Series ◽  
Data Analysis ◽  
Exploratory Data Analysis ◽  
Time Series Data ◽  
Series Data ◽  
Exploratory Data

Faktor-Faktor Yang Mempengaruhi Nilai Tukar Dollar Amerika Serikat Terhadap Rupiah Tahun 2000–2013

2017 ◽  
Vol 1 (2) ◽  
pp. 177-191
Author(s):  
Rizki Rahma Kusumadewi ◽  
Wahyu Widayat
Keyword(s):  
Time Series ◽  
Exchange Rate ◽  
Money Supply ◽  
Time Series Data ◽  
The United States ◽  
Economic Conditions ◽  
Series Data ◽  
Arch Model ◽  
United States Dollar ◽  
The Exchange Rate

Exchange rate is one tool to measure a country’s economic conditions. The growth of a stable currency value indicates that the country has a relatively good economic conditions or stable. This study has the purpose to analyze the factors that affect the exchange rate of the Indonesian Rupiah against the United States Dollar in the period of 2000-2013. The data used in this study is a secondary data which are time series data, made up of exports, imports, inflation, the BI rate, Gross Domestic Product (GDP), and the money supply (M1) in the quarter base, from first quarter on 2000 to fourth quarter on 2013. Regression model time series data used the ARCH-GARCH with ARCH model selection indicates that the variables that significantly influence the exchange rate are exports, inflation, the central bank rate and the money supply (M1). Whereas import and GDP did not give any influence.

An Anomaly Detection Method with Exemplar Subsequence for Time Series Data

2016 ◽  
Vol 136 (3) ◽  
pp. 363-372
Author(s):  
Takaaki Nakamura ◽  
Makoto Imamura ◽  
Masashi Tatedoko ◽  
Norio Hirai
Keyword(s):  
Time Series ◽  
Anomaly Detection ◽  
Time Series Data ◽  
Detection Method ◽  
Series Data

The Comparison of Land Subsidence between East and West Side of Bangkok, Thailand

2020 ◽  
Vol 17 (3) ◽  
pp. 1
Author(s):  
Angkana Pumpuang ◽  
Anuphao Aobpaet
Keyword(s):  
Time Series ◽  
Land Subsidence ◽  
Time Series Data ◽  
Series Data ◽  
Industrial Estates ◽  
Vertical Displacements ◽  
Land Deformation ◽  
Extensive Farming ◽  
Chao Phraya River ◽  
Set Up

The land deformation in line of sight (LOS) direction can be measured using time series InSAR. InSAR can successfully measure land subsidence based on LOS in many big cities, including the eastern and western regions of Bangkok which is separated by Chao Phraya River. There are differences in prosperity between both sides due to human activities, land use, and land cover. This study focuses on the land subsidence difference between the western and eastern regions of Bangkok and the most possible cause affecting the land subsidence rates. The Radarsat-2 single look complex (SLC) was used to set up the time series data for long term monitoring. To generate interferograms, StaMPS for Time Series InSAR processing was applied by using the PSI algorithm in DORIS software. It was found that the subsidence was more to the eastern regions of Bangkok where the vertical displacements were +0.461 millimetres and -0.919 millimetres on the western and the eastern side respectively. The districts of Nong Chok, Lat Krabang, and Khlong Samwa have the most extensive farming area in eastern Bangkok. Besides, there were also three major industrial estates located in eastern Bangkok like Lat Krabang, Anya Thani and Bang Chan Industrial Estate. By the assumption of water demand, there were forty-eight wells and three wells found in the eastern and western part respectively. The number of groundwater wells shows that eastern Bangkok has the demand for water over the west, and the pumping of groundwater is a significant factor that causes land subsidence in the area.Keywords: Subsidence, InSAR, Radarsat-2, Bangkok

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