scholarly journals Analisis Regresi Data Panel Pada Kemiskinan Provinsi Aceh Tahun 2016-2020

2021 ◽  
Vol 18 (2) ◽  
pp. 264-271
Author(s):  
Wahyudi

Kemiskinan menjadi salah satu indikator kesejahteraan pembangunan disuatu daerah. Semakin tinggi tingkat kemiskinan suatu daerah maka akan mengindikasikan bahwa kualitas pembangunan masyarakat di daerah tersebut rendah. Penelitian ini bertujuan untuk memodelkan dan mengetahui  faktor-faktor yang mempengaruhi kemiskinan di provinsi Aceh tahun 2016-2020. Metode analisis yang digunakan adalah analisis regresi data panel dengan sumber data sekunder yang diperoleh dari badan pusat statistika (BPS).  Hasil penelitian menunjukkan bahwa model yang sesuai dengan data kemiskinan provinsi Aceh tahun 2016-2020 adalah model regresi data panel dengan pengaruh tetap (Fixed effect model). Faktor-faktor yang signifikan mempengaruhi kemiskinan yaitu indek pembangunan manusia, angka kesakitan, dan laju pertumbuhan penduduk dengan nilai R squared yang tinggi sebesar 97.14 % .

2016 ◽  
Vol 11 (02) ◽  
pp. 1-16
Author(s):  
Dilawatil Hikmah

Penelitian ini dilakukan dengan tujuan untuk menguji pengaruh rasio likuiditas (CR), rasio profitabilitas (NPM, ROA, ROE, EPS), rasio solvabilitas (DER) dan rasio pasar (PER) terhadap harga saham (Y) pada perusahaan yang berada pada indeks LQ45 di Bursa Efek Indonesia. Metode pengumpulan data dilakukan dengan menggunakan laporan keuangan anggota emiten LQ45 periode Januari 2014 yang selama 5 tahun eksis dari Februari 2009 sampai Januari 2014. Metode sampel yang digunakan adalah purpose sampling (sampling bersyarat). Adapun jumlah sampel yang terpilih memenuhi syarat sebanyak 21 emiten dari 45 emiten. Teknis analisis data menggunakan Eviews 7.1 yaitu dengan metode cross sectional weight dengan pendekatan fixed effect model. Hasil penelitian menunjukkan bahwa secara bersama-sama maupun secara parsial variabel CR, NPM, ROA, ROE, EPS, DER, dan PER memiliki pengaruh terhadap harga saham. Namun variabel yang berpengaruh signifikan terhadap harga saham adalah NPM dan PER. Maka para investor dapat menilai kinerja perusahaan dengan melihat dari rasio keuangan dan melakukan penilaian terhadap harga saham sehingga dengan mudah dapat menentukan saham yang baik sebelum berinvestasi di BEI.


Author(s):  
Hamidreza Totonchi ◽  
Ramazan Rezaei ◽  
Shokoofe Noori ◽  
Negar Azarpira ◽  
Pooneh Mokarram ◽  
...  

Introduction: Several studies have assessed the association between the vitamin D receptor (VDR) polymorphism and risk of metabolic syndrome (MetS). However, the results were inconsistent and inconclusive. Therefore, we conducted a meta-analysis to clarify the exact association between the vitamin D receptor (VDR) polymorphisms and the risk of MetS. Methods: All accessible studies reporting the association between the FokI (rs2228570) or / and TaqI (rs731236) or/and BsmI (rs1544410) or/and ApaI (rs7975232 polymorphisms of the Vitamin D Receptor and susceptibility to MetS published prior to February 2019 were systematically searched in Web of Science, Scopus, and PubMed. After that, Odds ratios (ORs) and their corresponding 95% confidence intervals (CIs) were estimated to evaluate the strength of the association in five genetic models. Results: A total of 9 articles based on four gene variations, and comprising 3348 participants with 1779 metabolic syndrome patients were included. The overall results suggested a significant association between BsmI (rs1544410) polymorphism and MetS susceptibility in recessive model (OR, 0.72, 95% CI, 0.55-0.95, fixed effect model), allelic model (OR, 0.83, 95% CI, 0.72-0.95, fixed effect model), and bb vs BB (OR, 0.65, 95% CI, 0.46-0.93, fixed effect). However, no significant association was identified between TaqI (rs731236) polymorphism, ApaI (rs7975232) polymorphism, and FokI (rs2228570) polymorphism and MetS. Conclusion: This meta-analysis suggested an association between the BsmI (rs1544410) polymorphism and MetS. Indeed, BsmI (rs1544410) acts as a protective factor in the MetS. As a result, the VDR gene could be regarded as a promising pharmacological and physiological target in prevention or treatment of the MetS.


2021 ◽  
Vol 2021 (1) ◽  
pp. 547-556
Author(s):  
Daniel M V Mone ◽  
Efri Diah Utami

Sustainable Development Goals (SDGs) adalah sebuah perencana aksi berskala global yang disepakati oleh para pemimpin dunia, termasuk Indonesia dengan tujuan mendorong pembangunan sosial, ekonomi dan lingkungan hidup. Salah satu dari 17 tujuan SDGs adalah mengakhiri kelaparan. Berdasarkan data yang dirilis Badan Pusat Statistik, salah satu pendekatan untuk mengukur tingkat kelaparan adalah proporsi penduduk dengan asupan kalori minimum di bawah 1400 kkal/kapita/hari.  Proporsi penduduk dengan asupan kalori minimum di bawah 1400 kkal/kapita/hari di Indonesia masih cukup tinggi dan terus mengalami peningkatan dari tahun 2017 hingga 2019. Penelitian ini bertujuan untuk menganalisis bagaimana gambaran umum dari tingkat kelaparan dan variabel-variabel yang diduga mempengaruhinya, serta  bagaimana pengaruh variabel-variabel tersebut terhadap tingkat kelaparan di Indonesia tahun 2015-2019. Hasil dari penelitian ini dapat digunakan untuk merumuskan kebijakan-kebijakan guna penuntasan kelaparan di Indonesia. Metode analisis yang digunakan adalah regresi data panel dengan menggunakan  fixed effect model yang diestimasi dengan metode Seemingly Unrelated Regression (SUR). Hasil dari penelitian ini menunjukkan bahwa variabel yang berpengaruh signifikan terhadap tingkat kelaparan adalah pengeluaran makanan dan harga beras, sedangkan jumlah penduduk miskin dan pendapatan perkapita tidak berpengaruh signifikan.


Author(s):  
Karoomatus Syifa ◽  
Aris Susetyo

Tujuan penelitian ini untuk mengetahui pengaruh bid-ask spread, market value dan risk of return terhadap holding period saham secara parsial maupun simultan pada saham perusahaan indeks JII tahun 2016-2018. Sumber data dalam penelitian adalah data sekunder berbentuk data harian yang diperoleh di www.idx.co.id dan Yahoo Finance. Populasi yang digunakan dalam penelitian ini adalah perusahaan yang terdaftar dalam Indeks JII tahun 2016-2018 yang berjumlah 30 perusahaan. Teknik pengambilan sampel menggunakan metode purposive sampling yang menghasilkan jumlah sampel sebanyak 17 perusahaan. Tahun 2016 terdapat 246 hari perdagangan, tahun 2017 terdapat 238  hari perdagangan  dan tahun 2018 terdapat 241 hari perdagangan sehingga membentuk data panel sebanyak 12.325 sampel. Teknik analisis yang digunakan adalah analisis regresi data panel: Fixed Effect Model dengan bantuan aplikasi software Eviews 10. Uji hipotesis dalam penelitian ini menggunakan uji t-statistic dan uji F-statistic dengan tingkat signifikansi 5%. Hasil penelitian menunjukkan bahwa: 1) bid-ask spread memiliki pengaruh negatif dan signifikan terhadap holding period saham, 2) market value memiliki pengaruh positif dan signifikan terhadap holding period saham, 3) risk of  return memiliki pengaruh negatif dan signifikan terhadap holding period saham, 4) bid-ask spread, market value dan risk of  return secara simultan memiliki pengaruh terhadap holding period saham. Holding period saham dapat dijelaskan oleh pengaruh variasi variabel independen bid-ask spread, market value dan variance return sebesar 99,91 %, sedangkan 0,09% dipengaruhi oleh variabel lain diluar model penelitian.


2018 ◽  
Vol 12 (2) ◽  
pp. 205-234
Author(s):  
. Ragimun

AbstrakTekstil dan Produk Tekstil (TPT) adalah produk ekspor utama Indonesia dan Vietnam. Penelitian ini  bertujuan menganalisis daya saing ekspor TPT Indonesia dan Vietnam di pasar AS dan RRT. Metode yang digunakan adalah Constant Market Share Analysis (CMSA), Revealed Comparative Advantage (RCA), dan Model Ekonometrika (Fixed Effect Model). Hasil penelitian menunjukkan bahwa produk TPT Indonesia dan Vietnam tidak mempunyai daya saing kuat di pasar RRT, tetapi keduanya memiliki daya saing kuat di pasar AS. Pengembangan ekspor TPT Vietnam lebih terkonsentrasi di pasar RRT, sedangkan Indonesia lebih terkonsentrasi di pasar AS. TPT Indonesia mampu beradaptasi di pasar RRT dan AS, sedangkan TPT Vietnam hanya mampu beradaptasi di pasar RRT. Daya saing TPT Indonesia dan Vietnam di pasar AS dan RRT sangat dipengaruhi oleh Penanaman Modal Asing (PMA) manufaktur negara asal. Daya saing TPT Indonesia sangat dipengaruhi Produk Domestik Bruto (PDB) negara tujuan, sedangkan Vietnam sangat dipengaruhi oleh faktor nilai tukar riil, tarif, PDB negara tujuan dan PMA manufaktur Vietnam. Untuk meningkatkan daya saing ekspor TPT, Indonesia perlu memperhatikan PMA manufaktur negara asal dan PDB negara tujuan. AbstractTextile and Textile Product (TPT) are the main export products of Indonesia and Vietnam. This study examined the competitiveness of Indonesian and Vietnamese TPT in the US and PRC markets by using the CMSA, RCA methods and the Fixed Effect Model. The result showed TPT products from Indonesia and Vietnam do not have strong competitiveness in the PRC market, but they are highly competitive in the US market. The TPT export from Vietnam is mostly concentrated in the PRC market, while TPT from Indonesia was in the US market. Indonesian TPT is able to adapt in both PRC and US markets, while the Vietnamese TPT is only able to adapt in the PRC market. The competitiveness of Indonesian and Vietnamese TPT in the US and PRC markets is strongly influenced by the home country's FDI manufacturing. Indonesia's TPT competitiveness is strongly influenced by the GDP of the destination country, while Vietnam is strongly influenced by the factors of real exchange rates, tarrif, GDP of destination countries and Vietnam's FDI manufacturing. To improve the competitiveness of TPT export, Indonesia needs to give a great concern toward FDI manufacture and GDP of US and PRC.


2021 ◽  
Vol 39 (15_suppl) ◽  
pp. e12555-e12555
Author(s):  
Yi Lee ◽  
Ruolin Liu ◽  
Alexis K. Bean ◽  
Madison J. Garshasebi ◽  
Qasim Jehangir ◽  
...  

e12555 Background: Oncotype DX Breast Recurrence Score (RS) is the currently used risk-assessment tool for early-stage, hormone receptor-positive, HER-2 negative, node-negative breast cancer in the US. Studies showed inconsistency in RS distribution and treatment among races. Causes may include variations in somatic mutations like Ki-67, which have been reported to express higher in African American (AA) and Asian populations than in Non-Hispanic White (NHW) population, germline mutations in BRCA and TP53, that are not in the RS algorithm, and financial burden of the testing. We analyzed data from different countries to investigate racial disparity in RS. Methods: We searched Medline, EMBASE, Web of Science, and Cochrane Central Register of Controlled Trials, indexed from January 2010 to January 2021. More than 85% of studies were conducted in the pre-TAILORx study phase. To include data that are available and better represent different races, we included studies that used the previous cutoff value, low-risk ( < 18), intermediate-risk (18-30), high-risk ( > 30). Retrospective studies using Surveillance, Epidemiology, and End Results or National Cancer Database were excluded to avoid overlap data. A total of 17 studies, 9789 patients from seven countries (US, Japan, China, Taiwan, Kuwait, UAE, Israel) were pooled. The Odds Ratio (OR) was extracted with a 95% confidence interval (CI) for RS distribution and post-RS treatment. Both fixed-effect and random-effect meta-analysis were performed. Results: Among AA and NHW, AA were 1.7 times more likely to have high recurrence score (OR = 1.75; 95% CI = 1.46 - 2.10; P < 0.0001), with no heterogeneity among studies (I2 = 0%, heterogeneity P = 0.59). Asian were 1.59 more likely than NHW to be high-risk using a random effects model (OR = 1.59; 95% CI = 1.06 - 2.40; P = 0.0259). High-risk Asian were two times more likely to receive adjuvant chemotherapy post-RS comparing to NHW (OR: 2.31, CI: 1.07 - 4.98, fixed effect model; OR: 2.85, CI: 0.48, 17.05, random effects model), while high-risk AA were less likely to receive chemotherapy comparing to NHW (OR: 0.74, CI: 0.54-1.01, fixed effect model; OR: 0.73, CI: 0.54-0.99, random effects model). Intermediate-risk Asian and AA were more likely to receive chemotherapy compared to NHW (Asian to NHW; OR: 1.68, CI: 1.16-2.43, with fixed effect model, OR: 1.68, CI: 0.94-3.02, with random effects model; AA to NHW; OR: 1.16, CI: 0.93-1.46 with fixed effect model; OR: 1.06, CI: 0.62-1.79 with random effect model). Conclusions: We identified racial disparity in RS and post-RS treatment. Future research is required to elucidate the causes for AA and Asian receiving higher recurrence scores, a need for tailoring RS cutoffs for different races, and the utilization in adequate post-RS treatment.


Author(s):  
Mir Md Nazrul Islam

Dividend policy is an extensively researched topic in the arena of investments but still it remains an enigmatic that whether Dividend Policy affects the Stock Prices or not. The consequences of researches conducted in different stock markets are different. In Bangladesh, capital market investment is very essential and significant for the growth and market capitalization of domestic industry, trade and commerce. In current years Bangladesh had faced many precarious situations in its stock market. The Stock price reactions to the declaration of dividend of the fuel and power industry of Bangladesh are empirically examined. This study examines stock price reactions of listed dividend paying fuel and power industries in Dhaka stock exchange, Bangladesh for period of 11 years from of 2008-2018. This study will help us to make effective dividend decisions and effective implementation of dividend policies. In this study, Fixed Effect Model along with Random Effect Model have been used to estimate results. Both Models are implemented on panel data for explaining the association between dividend payments and share prices while controlling logarithm value of Profit after Tax, Earnings per Share and Return on Equity. The research is accompanied with a view to find whether the dividend announcement convey any evidence to the market that results a stock price volatility for adjusting the dividend announcement information while controlling the variables like Profit After Tax Earnings, Per Share and Return on Equity. The study also tested both the Models and found Random Effect Model is more significant than Fixed Effect Model. The result documented on the Random Effect Model shows that there are significant relationship with Retention Ratio, dividend per share and Return on Equity. In addition, Profit after tax shows the negative significant association and Earning per Shares insignificant with the share prices in Bangladesh Fuel and Power sector. 


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