E-money and Stock: Empirical Evidence from Indonesia and Thailand

2021 ◽  
Vol 10 (1) ◽  
pp. 139-148
Author(s):  
Hasdi Aimon ◽  
Sri Ulfa Sentosa ◽  
Moh. Ridha Mahatir
Keyword(s):  
Central Bank ◽  
Least Squares ◽  
Empirical Evidence ◽  
Two Stage ◽  
Quarterly Data ◽  
Indonesian Government ◽  
Technological Developments ◽  
Two Stage Least Squares ◽  
The Relationship

E-money is a type of electronic or digital payment that replaces cash payments. These technological developments will have an impact on reducing the use of cash. The use of e-money possibly affects stock, which is a form of securities. Therefore, the purpose of this study is to assess the relationship between e-money and stock. The study uses the two-stage least squares model to analyze quarterly data for 2011Q1-2019Q4. The study found no relationship between stock and e-money in Indonesia, whereas, in Thailand, there was a relationship between stock and e-money. There is no relationship between e-money and stock in Indonesia and Thailand. The study recommends the Indonesian government or central bank adopt the policies that Thailand has implemented in stock that affects e-money. Stocks can affect the use of e-money due to the profits or losses of the stock that will impact the use of e-money.JEL Classification: D53, E40How to Cite:Aimon, H., Sentosa, S. U., & Mahatir, M. R. (2021). E-money and Stock: Empirical Evidence from Indonesia and Thailand. Signifikan: Jurnal Ilmu Ekonomi, 10(1), 139-148. https://doi.org/10.15408/sjie.v10i1.15380.

scholarly journals Model Persamaan Simultan pada Analisis Hubungan Kemiskian dan PDRB

2014 ◽  
Vol 5 (2) ◽  
pp. 810
Author(s):  
Rokhana Dwi Bekti ◽  
David David ◽  
Gita N ◽  
Priscillia Priscillia ◽  
Serlyana Serlyana
Keyword(s):  
Economic Growth ◽  
Least Squares ◽  
Least Squares Estimation ◽  
Two Stage ◽  
Two Stage Least Squares ◽  
Regional Product ◽  
The Relationship ◽  
Simultaneous Model

Simultaneous model is a model for some equation which have simultaneous relationships. It was often found in econometrics, such as the relationship between Gross Domestic Regional Product (GDRP) and poverty. GDP is a common indicator that can be used to determine the economic growth occurred in region. Meanwhile, poverty is one of the indicators to measure the society welfare. Information about these relathionships were important to perform the relathionsips between GDP and poverty. So this research conducted an analysis to obtain simultaneous models between GDRP and poverty. Estimation of the parameters used is Two-Stage Least Squares Estimation (2SLS). The data used are 33 provinces in Indonesia at 2010. By α = 5%, it was conclude that variable which significant effect on GDRP is poverty, export, and import. Meanwhile, the variables that significantly affect poverty are population. The simultaneous model (α = 5%) also conclude that there is no simultaneous relationship between GDRP and poverty. However, with α = 25%, there is a simultaneous relationship between GDRP and poverty.

scholarly journals The relationship between micronutrient intake and labour productivity: Evidence from rice-farming households in Thailand

2019 ◽  
Vol 48 (1) ◽  
pp. 58-65 ◽  
Author(s):  
Pattanapong Tiwasing ◽  
Philip Dawson ◽  
Guy Garrod
Keyword(s):  
Least Squares ◽  
Labour Productivity ◽  
Calorie Intake ◽  
Rice Farming ◽  
Two Stage ◽  
Micronutrient Intake ◽  
Two Stage Least Squares ◽  
The Impact ◽  
The Relationship ◽  
Farming Households

Unreliable access to a sufficient quantity of nutritious food is a major cause of undernourishment and malnutrition and may lead to reduced worker capacity and low productivity in developing countries. This study examines the impact of micronutrient intake on the labour productivity of rice-producing households in Thailand in 2011. A semi-log wage equation and Cobb–Douglas production function are estimated using two-stage least squares and non-linear two-stage least squares methods, respectively. The results show that higher intakes of calcium, vitamin A and iron increase household earnings and farm output. However, calorie intake only contributes to a higher farm output. Enhancing micronutrient consumption is an investment for improving productivity.

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