Employment and foreign direct
investment

The purpose of this study is to examine and better understand the effects of foreign direct investments on employment in Montenegro over the period from 2005-2017. Time series data on a quarterly basis, obtained from Central Bank of Montenegro, Statistical Office of Montenegro - MONSTAT and Employment Office of Montenegro were used in this research. To perform time series stationary testing, Dickey-Fuller test (ADF) and Perron test were used, i.e. the unit root tests, while the examination of the effects of foreign direct investments on employment was performed using the regression analysis with the least square method. The results of the research, obtained by the evaluation of the simple linear econometric model show that if foreign direct investments increase by 1%, employment in Montenegro can be expected to increase by an average of 0.0058%. However, the regression analysis results clearly show that over the total observed period, the influence of foreign direct investments on employment does not have statistical significance. The obtained results are not surprising, considering the fact that the observed period is characterized by a modest share of the greenfield investment within the total structure of foreign direct investments in the Montenegrin economy.

Download Full-text

FAKTOR-FAKTOR YANG MEMPENGARUHI VOLUME EKSPOR UDANG PUTIH (PENAEUS INDICUS) INDONESIA KE HONGKONG SERTA IMPLIKASI KEBIJAKANNYA

JURNAL EKONOMI DAN KEBIJAKAN PEMBANGUNAN ◽

10.29244/jekp.5.1.1-24 ◽

2018 ◽

Vol 5 (1) ◽

pp. 1-24

Author(s):

Betrix Silitonga ◽

Manuntun Parulian Hutagaol

Keyword(s):

Time Series ◽

Time Series Data ◽

Least Square Method ◽

Least Square ◽

Nominal Exchange Rate ◽

White Shrimp ◽

Series Data ◽

Selling Price ◽

Ordinary Least Square ◽

Penaeus Indicus

This study aimed to analyze the factors that affect the volume of Indonesian exports of white shrimp (Penaeus indicus) to Hongkong and to formulate policies that can increase the volume of exports. Ordinary Least Square method (OLS) is used to analyze the factors that affect the volume of Indonesian white shrimp exports to Hongkong by time series data (time series) period of the last 24 years (1990 until 2013). All independent variables that have significant influence on the volume of Indonesian exports of white shrimp, which are: Hongkong population, Hongkong GDP per capita constant 2005, the nominal selling price of white shrimp Indonesia to Hongkong, the nominal selling price of white shrimp competitor to Hongkong, the nominal exchange rate of the Indonesian to Hongkong and Indonesian economic crisis in 1998 (dummy). Key words: Hongkong, Ordinary Least Square (OLS), the export volume, the white shrimp (Penaeus indicus)

Download Full-text

Weighted least square method and associated time series data problems

Global Journal of Pure and Applied Sciences ◽

10.4314/gjpas.v7i3.16284 ◽

2001 ◽

Vol 7 (3) ◽

Author(s):

A. C. EKE ◽

D. ENI ◽

J. ATSU

Keyword(s):

Time Series ◽

Time Series Data ◽

Least Square Method ◽

Least Square ◽

Series Data ◽

Weighted Least Square

Download Full-text

Study on Four Parameters Estimation’s Methods of Time-Series Model in Modeling the Signal of a Quartz Flex Accelerometer

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.128-129.329 ◽

2011 ◽

Vol 128-129 ◽

pp. 329-332

Author(s):

Xin Zhong ◽

Chi Hang Zhao ◽

Jie He

Keyword(s):

Time Series ◽

Autocorrelation Function ◽

Test Bench ◽

Time Series Data ◽

Least Square Method ◽

Least Square ◽

Statistical Characteristics ◽

Estimation Methods ◽

Series Data ◽

Partial Autocorrelation Function

Box-Jenkins method of time series in modeling the signal of quartz flex accelerometer is studied in the paper. Firstly, a JSD-I/A quartz flex accelerometer is placed on a level test bench, and the output signal of the JSD-I/A quartz flex accelerometer is acquired. Secondly, the acquired signal of the JSD-I/A quartz flex accelerometer is preprocessed by Db3 wavelet denoising, trend items exacting, and standardized processing. Thirdly, The statistical characteristics of autocorrelation function (ACF) and partial autocorrelation function (PACF) of the processed time series data are analyzed, and the results show that ACF presents tailing characteristic and PACF presents censoring characteristic after 12th order. So AR(12) model is suitable for modeling the processed data of the JSD-I/A quartz flex accelerometer. Fourthly, the AR(12) model’s parameters are estimated by four methods, named least square method (LSM), Yule-Walker method, LUD method and Burg method, respectively. The fitting effects by residuals sum of squares (RSS) of the above estimation methods are compared and the results show that LSM outperforms the other three estimation methods.

Download Full-text

FAKTOR-FAKTOR YANG MEMPENGARUHI VOLUME EKSPOR UDANG PUTIH (PENAEUS INDICUS) INDONESIA KE HONGKONG SERTA IMPLIKASI KEBIJAKANNYA

JURNAL EKONOMI DAN KEBIJAKAN PEMBANGUNAN ◽

10.29244/jekp.5.1.2016.1-24 ◽

2018 ◽

Vol 5 (1) ◽

pp. 1-24

Author(s):

Betrix Silitonga ◽

Manuntun Parulian Hutagaol

Keyword(s):

Time Series ◽

Time Series Data ◽

Least Square Method ◽

Least Square ◽

Nominal Exchange Rate ◽

White Shrimp ◽

Series Data ◽

Selling Price ◽

Ordinary Least Square ◽

Penaeus Indicus

Download Full-text

Peran Grup Afiliasi dalam Memoderasi Pengaruh Hutang terhadap Nilai Perusahaan pada Perusahaan Property & Real Estate yang terdaftar di Bursa Efek Indonesia

FORUM EKONOMI ◽

10.29264/jfor.v19i1.2113 ◽

2017 ◽

Vol 19 (1) ◽

pp. 58

Author(s):

Fina Maulidyani ◽

Set Asmapane ◽

Ledy Setiawati

Keyword(s):

Time Series ◽

Regression Analysis ◽

Time Series Data ◽

Stock Exchange ◽

Debt Financing ◽

Series Data ◽

Simple Linear Regression ◽

Group Affiliation ◽

A Company ◽

Positive Effect

The objective of this research is to examine empirically the effect of Debt on Firm’s Value and the ability of Group Affiliation to moderate the effect of Debt toward Firm’s Value by using an approach simple linear regression and Moderated Regression Analysis (MRA). This research uses time series data in 2011 – 2015 for company's finance data that got from Indonesia Stock Exchange. Election Procedure sample uses purposive sampling and the result are existed 35 companies that fulfill criterion. The results show that Debt has positive effect on Firm’s Value, while Group Affiliation act as a moderating variable can reduce the effect of Debt toward Firm’s Value. The higher capability of group affiliation to take control of a company, the lower debt financing that company has.Keywords: Debt Financing, Firm’s Value, Group Affiliation

Download Full-text

ANALISIS PENGARUH INVESTASI SWASTA , PENGELUARAN PEMERINTAH, DAN PENDUDUK TERHADAP PERTUMBUHAN EKONOMI DI KOTA BITUNG

JURNAL PEMBANGUNAN EKONOMI DAN KEUANGAN DAERAH ◽

10.35794/jpekd.15773.19.1.2017 ◽

2019 ◽

Vol 19 (1) ◽

Author(s):

Yandiles Weya ◽

Vecky A.J. Masinambow ◽

Rosalina A.M. Koleangan

Keyword(s):

Economic Growth ◽

Time Series ◽

Economic Activity ◽

Time Series Data ◽

Private Investment ◽

Least Square ◽

Series Data ◽

Ordinary Least Square ◽

North Sulawesi ◽

The City

ANALISIS PENGARUH INVESTASI SWASTA , PENGELUARAN PEMERINTAH, DAN PENDUDUK TERHADAP PERTUMBUHAN EKONOMI DI KOTA BITUNG Yandiles Weya, Vecky A.J. Masinambow, Rosalina A.M. Koleangan. Fakultas Ekonomi dan Bisnis, Magister Ilmu EkonomiUniversitas Sam Ratulangi, Manado ABSTRAKPada suatu periode perekonomian mengalami pertumbuhan negatif berarti kegiatan ekonomi pada periode tersebut mengalami penurunan. Kota Bitung periode tahun 2004-2014 mengalami pertumbuhan ekonomi yang fluktuasi. Adanya fluktuasi ini dapat dipengaruhi oleh investasi swasta, belanja langsung, dan penduduk Pertumbuhan ekonomi merupakan salah satu tolok ukur keberhasilan pembangunan ekonomi di suatu daerah. Pertumbuhan ekonomi mencerminkan kegiatan ekonomi. Pertumbuhan ekonomi dapat bernilai positif dan dapat pula bernilai negatif. Jika pada suatu periode perekonomian mengalami pertumbuhan positif berarti kegiatan ekonomi pada periode tersebut mengalami peningkatan. Sedangkan jikaTahun 2004-2014 yang bersumber dari Badan Pusat Statistik Provinsi Sulut dan Kota Bitung. Metode analisis yang digunakan adalah model ekonometrik regresi berganda double-log (log-log) dengan metode Ordinary Least Square (OLS). Penelitian ini bertujuan untuk mengetahui apakah perkembangan investasi swasta, belanja langsung, dan penduduk berpengaruh terhadap pertumbuhan ekonomi Kota Bitung. Data yang dipakai menggunakan data time series periodeHasil regresi model pertumbuhan ekonomi dengan persamaan regresinya yaitu LPDRB = - 4,445 + 0.036 LINV + 0.049 LBL + 2,229 LPOP. Dari hasil tersebutmenunjukkan perkembangan investasi swasta, belanja langsung dan penduduk berpengaruh positif dan signifikan terhadap pertumbuhan ekonomi Kota Bitung.Kata Kunci :pertumbuhan ekonomi, belanja langsung, penduduk, regresi bergandaABSTRACT The economy experienced a period of negative growth means economic activity in this period has decreased. Bitung-year period 2004-2014 economic growth fluctuations. These fluctuations can be influenced by private investment, direct spending, and population Economic growth is one measure of the success of economic development in an area. Economic growth reflects economic activity. Economic growth can be positive and can also be negative. If the economy experienced a period of positive growth means economic activity during the period has increased. Whereas if years 2004-2014 are sourced from the Central Statistics Agency of North Sulawesi Province and Bitung. The analytical method used is an econometric model double-log regression (log-log) with Ordinary Least Square (OLS). This study aims to determine whether the development of private investment, direct spending, and population affect the economic growth of the city of Bitung. The data used using time series data period. The results of the regression model of economic growth with the regression equation is LPDRB = - LINV 4.445 + 0.036 + 0.049 + 2.229 LPOP LBL. From these results show the development of private investment, direct expenditure and population positive and significant impact on economic growth of Bitung.Keywords: Economic growth, direct spending, population, regression.

Download Full-text

PENGARUH ZIS (ZAKAT, INFAK, SEDEKAH) DAN ZAKAT FITRAH TERHADAP PENURUNAN KEMISKINAN DI INDONESIA PERIODE 1998 - 2010

Media Ekonomi ◽

10.25105/me.v20i1.779 ◽

2017 ◽

Vol 20 (1) ◽

pp. 83

Author(s):

Jumadin Lapopo

Keyword(s):

Time Series ◽

Developing Countries ◽

Regression Analysis ◽

Poverty Reduction ◽

Time Series Data ◽

Secondary Data ◽

Series Data ◽

Analysis Model ◽

Independent Variables

<p>Poverty is being a problem in all developing countries including Indonesia. Among goverment programs, poverty has become the center offattention in policy at both of the regional and national levels. Looking at thephenomenon of poverty, Islam present with solution to reduce poverty through Zakat. This study aims to analyze the effect of ZIS and Zakat Fitrah against poverty in Indonesia in 1998 until 2010, data used in this study is secondary data and uses time series data, for the dependent variabel is poverty and for independent variables are ZIS and Zakat Fitrah. The analysis tools used in this study is to use multiple regression analysis model and the assumptions of classical test using the software Eviews-4. In this study also concluded that the ZIS variables significantly affect to the reduction of poverty in Indonesia although the effect is very small. In the variable Zakat Fitrah not significantly affect poverty reduction in Indonesia because of the nature of Zakat Fitrah is for consumption and not for long-term needs. The results of this study can be used for the management of zakat to be able to develop the management and to get a better system for distribution of zakat so that the main purpose of zakat can be achieved to reduce poverty.<br />Keywords : Poverty, Zakat Fitrah, ZIS.</p>

Download Full-text

Discriminate Supervised Weighted Scheme for the Classification of Time Series Signals

International Journal of Sociotechnology and Knowledge Development ◽

10.4018/ijskd.2021070101 ◽

2021 ◽

Vol 13 (3) ◽

pp. 1-16

Author(s):

Elangovan Ramanujam ◽

S. Padmavathi

Keyword(s):

Time Series ◽

Time Series Data ◽

State Of The Art ◽

Statistical Significance ◽

Series Data ◽

Bag Of Words ◽

Time Series Classification ◽

Problem Of Time ◽

Weighted Matrix

Innovations and applicability of time series data mining techniques have significantly increased the researchers' interest in the problem of time series classification. Several algorithms have been proposed for this purpose categorized under shapelet, interval, motif, and whole series-based techniques. Among this, the bag-of-words technique, an extensive application of the text mining approach, performs well due to its simplicity and effectiveness. To extend the efficiency of the bag-of-words technique, this paper proposes a discriminate supervised weighted scheme to identify the characteristic and representative pattern of a class for efficient classification. This paper uses a modified weighted matrix that discriminates the representative and non-representative pattern which enables the interpretability in classification. Experimentation has been carried out to compare the performance of the proposed technique with state-of-the-art techniques in terms of accuracy and statistical significance.

Download Full-text

Abstract 19225: Impact of Change in Resuscitation Guidelines on National Out-of-hospital Cardiac Arrest Outcomes: Fulfilled Expectations?

Circulation ◽

10.1161/circ.132.suppl_3.19225 ◽

2015 ◽

Vol 132 (suppl_3) ◽

Author(s):

Shaker M Eid ◽

Aiham Albaeni ◽

Rebeca Rios ◽

May Baydoun ◽

Bolanle Akinyele ◽

...

Keyword(s):

Time Series ◽

Cardiac Arrest ◽

Time Series Data ◽

Statistical Significance ◽

Interrupted Time Series ◽

The United States ◽

Series Data ◽

National Database ◽

Resuscitation Guidelines ◽

Hospital Cardiac Arrest

Background: The intent of the 5-yearly Resuscitation Guidelines is to improve outcomes. Previous studies have yielded conflicting reports of a beneficial impact of the 2005 guidelines on out-of-hospital cardiac arrest (OHCA) survival. Using a national database, we examined survival before and after the introduction of both the 2005 and 2010 guidelines. Methods: We used the 2000 through 2012 National Inpatient Sample database to select patients ≥18 years admitted to hospitals in the United States with non-traumatic OHCA (ICD-9 CM codes 427.5 & 427.41). A quasi-experimental (interrupted time series) design was used to compare monthly survival trends. Outcomes for OHCA were compared pre- and post- 2005 and 2010 resuscitation guidelines release as follows: 01/2000-09/2005 vs. 10/2005-9/2010 and 10/2005-9/2010 vs. 10/2010-12/2012. Segmented regression analyses of interrupted time series data were performed to examine changes in survival to hospital discharge. Results: For the pre- and post- guidelines periods, 81600, 69139 and 36556 patients respectively survived to hospital admission following OHCA. Subsequent to the release of the 2005 guidelines, there was a statistically significant worsening in survival trends (β= -0.089, 95% CI -0.163 – -0.016, p =0.018) until the release of the 2010 guidelines when a sharp increase in survival was noted which persisted for the period of study (β= 0.054, 95% CI -0.143 – 0.251, p =0.588) but did not achieve statistical significance (Figure). Conclusion: National clinical guidelines developed to impact outcomes must include mechanisms to assess whether benefit actually occurs. The worsening in OHCA survival following the 2005 guidelines is thought provoking but the improvement following the release of the 2010 guidelines is reassuring and worthy of perpetuation.

Download Full-text

Pengaruh pertumbuhan ekonomi, inflasi dan pengangguran terhadap tingkat kemiskinan di Sumatera Selatan

Jurnal Ekonomi Pembangunan ◽

10.29259/jep.v16i1.8856 ◽

2019 ◽

Vol 16 (1) ◽

pp. 1-10

Author(s):

Novegya Ratih Primandari

Keyword(s):

Economic Growth ◽

Time Series ◽

Linear Regression ◽

Linear Regression Model ◽

Time Series Data ◽

Secondary Data ◽

Poverty Rate ◽

Least Square ◽

Series Data ◽

Ordinary Least Square

This research aims to analyze effect of economic growth, inflation and Unemployment on the Rate of Poverty in the Province of South Sumatera. This research used secondary data in the form of time series data from 2001-2017. The method used quantitative approach by applying a linear regression model with OLS estimation Ordinary Least Square (OLS) method. The results of this study indicate that partially and simultaneously Economic Growth, Inflation and Unemployment have a significant effect on the Poverty Rate in the Province of South Sumatera.

Download Full-text