scholarly journals Determinants of Trade in Services

2021 ◽  
Vol 13 (1) ◽  
pp. 72-78
Author(s):  
Nikita Joshi ◽  
Ishita Ghosh
Keyword(s):  
Mobile Phones ◽  
Fixed Effects ◽  
Free Trade Agreements ◽  
Trade Agreements ◽  
Trade In Services ◽  
Factors Affecting ◽  
Panel Data Regression ◽  
Data Regression ◽  
Use Of The Internet ◽  
The Cost

This paper aims to analyze the determinants affecting the trading of services and examine the causality between the trading of services and the factors affecting the trade. For the study, the fixed effects panel data regression has been used. The results indicate that as the income of a country increases, its trade in services also increases. The use of the internet and mobile phones are also important indicators of trade in services and an increase in their use reduces the cost of trading services.  Free trade agreements play an important role in developing countries like Brazil and China for trading services.

Using information from singletons in fixed-effects estimation: xtfesing

2020 ◽  
Vol 20 (4) ◽  
pp. 965-975
Author(s):  
Laura Magazzini ◽  
Randolph Luca Bruno ◽  
Marco Stampini
Keyword(s):  
Panel Data ◽  
Method Of Moments ◽  
Fixed Effects ◽  
Generalized Method Of Moments ◽  
Panel Data Regression ◽  
Data Regression ◽  
Method Of Moments Estimator ◽  
Fixed Effects Estimation

In this article, we describe the xtfesing command. The command implements a generalized method of moments estimator that allows exploiting singleton information in fixed-effects panel-data regression as in Bruno, Magazzini, and Stampini (2020, Economics Letters 186: Article 108519).

scholarly journals Pemodelan Kasus DBD di Provinsi Jawa Timur dengan Metode Data Panel

2019 ◽  
Vol 8 (2) ◽  
pp. 101
Author(s):  
Annisa Dwinda Shafira
Keyword(s):  
Panel Data ◽  
Population Density ◽  
Time Series Data ◽  
Secondary Data ◽  
Series Data ◽  
Panel Regression ◽  
Affecting Factors ◽  
Factors Affecting ◽  
Panel Data Regression ◽  
Data Regression

The combination of panel data regression consist of time series data, it was collected based on a characteristic at a certain time (cross section). This research aimed to analyze the affecting factors and dominant factors of Dengue Hemoragic Fever (DHF) cases in East Java using panel data regression. This research uses secondary data published by the East Java Provincial Health Office, namely the Health Profile and the East Java Provincial Statistics Agency such as documents of each Districts/City in Numbers of East Java on 2014––2017 using total research population that were collected in all districts/cities in East Java Province. The data of new cases of DHF and factors affecting the incidence of DHF including clean and healthy living behavior in the household, poverty, population density, rainfall in East Java on 2014––2017. Panel regression analysis is used to determine the best model of the CEM, FEM and REM using Chow test, Hausman test and Langrange Multiplier test. Based on the results, the best model of panel regression is FEM with affecting variables such as poverty, population density, and rainfall.

scholarly journals LA INSERCIÓN COMERCIAL DE CHINA EN LATINOAMÉRICA

2019 ◽  
Vol 78 (310) ◽  
pp. 137
Author(s):  
Jorge Alberto López Arévalo ◽  
Óscar Rodil Marzábal
Keyword(s):  
Costa Rica ◽  
Free Trade ◽  
Fixed Effects ◽  
Bilateral Trade ◽  
Free Trade Agreements ◽  
Trade Agreements ◽  
Trade Integration ◽  
Negative Effect ◽  
The Difference ◽  
Positive Effect

<p>Este trabajo estudia los intercambios bilaterales de China con México, Chile, Costa Rica y Perú desde la óptica del comercio intraindustrial durante 1995-2017. En particular, se analizan las diferencias en el patrón de inserción intraindustrial en un contexto marcado por la existencia (Chile, Costa Rica y Perú) o no (México) de acuerdos de libre comercio con China. El estudio se completa con un análisis econométrico (efectos fijos) de los determinantes del comercio intraindustrial. Los resultados muestran una inserción de bajo perfil intraindustrial, con la excepción de algunas partidas específicas relativas a productos eléctricos y de la industria automotriz. Por otro lado, se confirma el efecto positivo del tamaño de la economía, de la inversión extranjera directa y de la diferenciación de producto, así como negativo de la diferencia en el nivel de ingreso; mientras que existe una indefinición en el papel de los acuerdos de libre comercio con China.<br /><br /></p><p>THE TRADE INTEGRATION OF CHINA IN LATIN AMERICA</p><p> </p><p><strong>ABSTRACT</strong><br />This paper studies China’s bilateral trade with Mexico, Chile, Costa Rica and Peru from the perspective of intra-industrial trade during 1995-2017. In particular, the differences in the pattern of intra-industrial insertion are analyzed in a context characterized by the existence (Chile, Costa Rica and Peru) or not (Mexico) of free trade agreements with China. An econometric analysis (fixed effects) of the determinants of intra-industrial trade completes the study. The results show a low intra-industrial profile, except for some specific items related to electrical products and the automotive industry. The positive effect of the size of the economy, foreign direct investment and product differentiation is also confirmed, as well as the negative effect of the difference in income level. However, there is an undefined role for free trade agreements with China.</p>

scholarly journals Islamic Bank Financing and Its Effects on Economic Growth: A Cross Province Analysis

2019 ◽  
Vol 8 (2) ◽  
Author(s):  
Muhammad Anif Afandi ◽  
Muhammad Amin
Keyword(s):  
Economic Growth ◽  
Fixed Effects ◽  
Islamic Banking ◽  
Fixed Effects Model ◽  
Islamic Bank ◽  
Bank Financing ◽  
Panel Data Regression ◽  
Data Regression ◽  
Almost All

Islamic banking industry shows a reasonably good development, one of which is marked by an increase in service coverage in almost all provinces in Indonesia. However, the question is how far Islamic banking capable of contributing to the improvement of Indonesia's economic growth? The purpose of this research is to examine the role of Islamic banking in promoting inclusive economic growth with a sample of 33 provinces in Indonesia. The method used in this research is panel data regression using the fixed effects model. The results show that Islamic bank financing does not have an impact on Indonesia's economic growth. In other words, the results of the research provide information that the existence of Islamic banking in Indonesia has not yet give a significant impact on the welfare of Indonesian society

scholarly journals Factors affecting net interest margin of joint-stock commercial banks in Vietnam

2017 ◽  
Vol 24 (01) ◽  
pp. 92-103
Author(s):  
An Pham Hoang ◽  
Loan Vo Thi Kim
Keyword(s):  
Commercial Banks ◽  
Secondary Data ◽  
Regression Method ◽  
Factors Affecting ◽  
Managerial Efficiency ◽  
Net Interest Margin ◽  
Panel Data Regression ◽  
Data Regression ◽  
Negative Effect ◽  
Interest Margin

This study analyzes factors affecting net interest margin of joint-stock commercial banks in Vietnam. The paper uses the secondary data of 26 banks with 182 observations for the period of 2008–2014 and applies the panel data regression method. The empirical results indicate that lending scale, credit risk, capitalization, and in-terest rate have positive impacts on net interest margin. In contrast, managerial efficiency has a negative effect on net interest margin. However, bank size and loan to deposit ratio are statistically insig-nificant to net interest margin.

scholarly journals The evaluation of large cycling infrastructure investments in Glasgow using crowdsourced cycle data

2019 ◽  
Vol 47 (6) ◽  
pp. 2859-2872 ◽  
Author(s):  
Jinhyun Hong ◽  
David Philip McArthur ◽  
Mark Livingston
Keyword(s):  
Local Governments ◽  
Fixed Effects ◽  
Capital Investment ◽  
City Council ◽  
Panel Data Regression ◽  
Data Regression ◽  
Data Limitations ◽  
Monthly Total ◽  
Infrastructure Investments ◽  
Commonwealth Games

Abstract The benefits of cycling have been well established for several decades. It can improve public health and make cities more active and environmentally friendly. Due to the significant net benefits, many local governments in Scotland have promoted cycling. Glasgow City Council constructed four significant pieces of cycling infrastructure between 2013 and 2015, partly in preparation for the 2014 Commonwealth Games and partly to encourage cycling more generally. This required substantial capital investment. However, the effectiveness of these big new infrastructure investments has not been well examined, mostly due to data limitations. In this study, we utilised data from the activity tracking app Strava for the years 2013–2016 and fixed effects panel data regression models to examine whether the new cycling infrastructure has increased cycling volumes on these routes. Our results show that three of the infrastructure projects have a positive effect on the monthly total volume of cycling trips made by users of the app, with flows up by around 12% to 18%. Although this result is promising, it needs to be interpreted with care due to the characteristics of the data.

scholarly journals Analisis Faktor-Faktor yang Mempengaruhi Jumlah Penduduk di Kota Semarang Menggunakan Metode Regresi Data Panel

2019 ◽  
Vol 12 (2) ◽  
pp. 36-41
Author(s):  
Prizka rismawati Arum
Keyword(s):  
Panel Data ◽  
Random Effect ◽  
Geographical Area ◽  
Random Effect Model ◽  
Factors Affecting ◽  
Effect Model ◽  
Panel Data Regression ◽  
Data Regression ◽  
The Relationship ◽  
Number Of Births

Residents are all people who live in the geographical area of Indonesia for six months or more and or those who have been domiciled for less than six months but aim to settle. Population growth is caused by two components, namely: fertility and mortality. To find out how big the relationship between the  population and the number of births and deaths in each sub-district of Semarang, must observed in several specific time periods and places at once. So in this study, the panel data regression method was used. In panel data regression testing, the results show that the panel data regression model formed to determine the factors that influence the level of population is the random effect model. In this model all assumptions are fulfilled. Significant factors affecting population are number of births. Births and deaths affect the population of 99.95% and the remaining 0.05% is influenced by other factors not examined Penduduk adalah semua orang yang berdomisili di wilayah geografis Indonesia selama enam bulan atau lebih dan atau mereka yang berdomisili kurang dari enam bulan tetapi bertujuan menetap. Pertumbuhan penduduk diakibatkan oleh dua komponen yaitu: fertilitas dan mortalitas. Untuk mengetahui seberapa besar keterkaitan antara jumlah penduduk dengan jumlah kelahiran dan kematian di setiap kecamataan Kota Semarang, harus diamati dalam beberapa periode waktu tertentu dan beberapa tempat secara bersamaan. Sehingga dalam penelitian ini digunakan metode regresi data panel. Dalam pengujian regresi data panel, didapatkan hasil bahwa Model regresi data panel yang terbentuk untuk mengetahui faktor-faktor yang mempengaruhi tingkat jumlah penduduk adalah model random Effect. Pada model tersebut semua asumsi terpenuhi. Faktor yang signifikan mempengaruhi jumlah penduduk adalah jumlah kelahiran. Kelahiran dan kematian mempengaruhi jumlah penduduk sebesar 99.95% dan sisanya sebesar 0.05% dipengaruhi oleh faktor- faktor lain yang tidak di teliti.    

scholarly journals The Most Important Factors Affecting Profitability of The Top 10 Commercial Banks in Asean

2018 ◽  
Vol 5 (5) ◽  
pp. 4742-4753
Author(s):  
Indra Satria ◽  
Edy Supriyadi ◽  
Agus s. Irfani ◽  
Achmad Djamil
Keyword(s):  
Gross Domestic Product ◽  
Commercial Banks ◽  
Financial Statements ◽  
Domestic Product ◽  
Bank Profitability ◽  
Factors Affecting ◽  
Panel Data Regression ◽  
Data Regression ◽  
Effect Regression ◽  
Macroeconomic Indicators

The purpose of this study is to find the most important factors affecting profitability of the top 10 commercial banks in ASEAN over the period 2012 to 2016. Panel data regression employed to identify factors affecting the banks profit. The data consist of macroeconomic indicators and bank financial statements which are collected from various sources. Data analysis was statistically conducted by using Eviews-9 statistical software based upon a fixed effect regression models. The study concluded that bank profitability (ROA) is significantly and positively affected by equity to asset (ETA), but it is not significantly affected by loan to deposit (LTD), investment to asset (ITA) and gross domestic product (GDP), eventhough these three variables have a positive patterns of influence on ROA. Approximately 87.03% of the bank’s profitability (ROA) explained by Loan to Deposit (LTD), equity to asset (ETA), investment to asset (ITA) and gross domestic product (GDP).

scholarly journals PENGARUH DEWAN KOMISARIS, DEWAN PENGAWAS SYARIAH (DPS) DAN DIREKSI TERHADAP KINERJA MAQASID SYARIAH

2019 ◽  
Vol 4 (2) ◽  
Author(s):  
Gista Rismayani ◽  
Ulfa Luthfia Nanda
Keyword(s):  
Board Of Directors ◽  
Supervisory Board ◽  
Sampling Technique ◽  
Islamic Banking ◽  
Factors Affecting ◽  
Panel Data Regression ◽  
Data Regression ◽  
Islamic Financial Institutions ◽  
Study Population ◽  
Board Performance

Sharia Maqasid Performance is the result described from a conceptual framework based on sharia maqasid theory. A maqasid sharia performance should be an effort for Islamic financial institutions to establish a goal that not only profit-oriented but also falah. This study aims to identify factors affecting the sharia maqasid performance of Islamic banking in Indonesia. The dependent variable used in this study is sharia maqasid performance and the independent variables in this study areboard of commissioners performance,� Sharia Supervisory Board Performance, and� board of directors performance. The study population is sharia� banking registered in Bank Indonesia. Using purposive sampling technique obtained 7 islamic banking which become object in this research.The data analysis using panel data regression by Eviews 9. The results indicates that the variables of board of commissioners performance, sharia board performance. and board of directors performance have no significant effect toward the Sharia Maqasid Performance.

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