• 제목/요약/키워드: Panel Threshold Regression Model

검색결과 6건 처리시간 0.016초

Relationship Between Stock Price Indices of Abu Dhabi, Jordan, and USA - Evidence from the Panel Threshold Regression Model

  • Ho, Liang-Chun
    • 산경연구논집
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    • 제4권2호
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    • pp.13-19
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    • 2013
  • Purpose - The paper tested the relationship between the stock markets of the Middle East and the USA with the oil price and US dollar index as threshold variables. Research design, data, and methodology - The stock price indices of the USA, the Middle East (Abu Dhabi, Jordan), WTI spot crude oil price, and US dollar index were daily returns in the research period from May 21, 2001 to August 9, 2012. Following Hansen (1999), the panel threshold regression model was used. Results - With the US dollar index as the threshold variable, a negative relationship existed between the stock price indices of Jordan and the USA but no significant result was found between the stock price indices of Abu Dhabi and the USA. Conclusions - The USA is an economic power today:even if it has a closer relationship with the US stock market, the dynamic US economy can learn about subsequent developments and plan in advance. Conversely, if it has an estranged relationship with the US stock market, thinking in a different direction and different investment strategies will achieve good results.

Infrastructure-Growth Link and the Threshold Effects of Sub-Indices of Institutions

  • OGBARO, Eyitayo Oyewunmi;OLADEJI, Sunday Idowu
    • Asian Journal of Business Environment
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    • 제11권1호
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    • pp.17-25
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    • 2021
  • Purpose: This study extends previous empirical work on the threshold effects of institutions on the relationship between infrastructure and economic growth. It does so by using three sub-indices of institutions as the threshold variable in place of aggregate index. This is with a view to determining the roles of the sub-indices in the nexus between infrastructure and economic growth. Research design, data and methodology: The analysis is based on a dynamic panel threshold regression model using a panel data set comprising 41 countries in Sub-Saharan Africa over the sample period of 1996-2015. Data are obtained from Ogbaro (2019). Results: The study finds that infrastructure exerts significant positive effects on economic growth below and above the threshold values of the three sub-indices, with higher effects above the threshold values. Results also show that on average, the Sub-Saharan African countries are not able to satisfy any of the threshold conditions, which accounts for their poor growth experience. Conclusion: The study concludes that countries with weak institutions do not benefit maximally from infrastructure development policies. The paper, therefore, recommends that countries in Sub-Saharan Africa need to focus on improving their institutional patterns if they are to reap the optimum benefits from their infrastructure development efforts.

Nuclear energy consumption, nuclear fusion reactors and environmental quality: The case of G7 countries

  • Cakar, Nigar Demircan;Erdogan, Seyfettin;Gedikli, Ayfer;Oncu, Mehmet Akif
    • Nuclear Engineering and Technology
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    • 제54권4호
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    • pp.1301-1311
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    • 2022
  • Global climate change brings environmental quality sensitivity, especially in developed countries. Developed countries use non-renewable energy sources intensively both in their own countries and in other countries, they make productions that cause an enormous rate of increase in CO2 emissions and unsustainable environmental costs. This has increased the interest in environmentally friendly alternative energy sources. The aim of this study is to investigate the impact of nuclear energy consumption and technological innovation on environmental quality in G7 countries using annual data over the period 1970-2015. The Panel Threshold Regression Model was used for the analysis. Empirical findings have indicated that the relationship between nuclear energy consumption and carbon emissions differs according to innovation for nuclear power plants. It was also concluded that nuclear energy consumption reduces carbon emissions more after a certain level of innovation. This result shows that the increase in innovative technologies for nuclear power plants not only increases energy efficiency but also contributes positively to environmental quality.

패널문턱회귀를 활용한 외국인 직접투자와 현지국 흡수능력의 관계 연구 (A Study on the Relationship between Foreign Direct Investment and the Absorptive Capacity of a Host Country Using Panel Threshold Regression)

  • 가오투장;황지영;황윤섭;유천
    • 무역학회지
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    • 제47권4호
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    • pp.89-102
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    • 2022
  • This study is designed to investigate the effect of inflow FDI on the host country's economic growth and the role of absorptive capacity in this relationship. Eight developing countries in East Asia, including Mongolia, Indonesia, Malaysia, Myanmar, the Philippines, Thailand, Vietnam, and Cambodia, are analyzed. Year data from 2000 to 2018 are used. Based on the study of Hansen (1999), the panel threshold effect model is used, and human capital, R&D, and infrastructure are set as absorptive capacity by referring to Wang and Hwang (2013). The analysis results are as follows. It is confirmed that FDI has a positive effect on the economic growth of the host country, and absorption capacity strengthens the relationship between FDI and economic growth in a positive direction. At this time, it appears that a threshold exists for the moderating effect of the absorptive capacity. It presents useful implications for economic growth in developing countries.

공간 패널 회귀모형을 이용한 양파 생산량 추정 (Onion yield estimation using spatial panel regression model)

  • 최성천;백장선
    • 응용통계연구
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    • 제29권5호
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    • pp.873-885
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    • 2016
  • 노지에서 재배되는 양파 생산량은 기후환경에 의하여 영향을 받으며, 특정 지역에서 많이 생산되는 지역적인 특성을 가지고 있다. 따라서 생산량 예측시 기상과 지역을 동시에 고려하는 접근이 필요하다. 본 논문에서는 공간 패널 회귀모형을 이용하여 기상변화에 따른 생산량을 추정하였다. 양파 주산지 13곳에 대한 2006년부터 2015년까지의 기상 패널자료를 사용하여, 공간시차를 반영한 공간자기회귀(spatial autoregressive)모형을 사용하였다. 공간가중치 행렬은 임계치 설정방법과 최근거리 설정방법으로 나누어 분석하여, 최근 3곳까지 거리 설정방법을 사용한 모형이 최종 모형으로 선택되었으며, 자기상관성이 유의함을 보였다. 하우스만 검정을 통해 채택된 확률효과모형으로 분석한 결과 누적일조시간(1월), 평균상대습도(4월), 평균최저기온(6월), 누적강수량(11월) 등이 양파 생산량 예측에 유의한 변수로 나타났다.

Automatic TFT-LCD Mura Inspection Based on Studentized Residuals in Regression Analysis

  • Chuang, Yu-Chiang;Fan, Shu-Kai S.
    • Industrial Engineering and Management Systems
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    • 제8권3호
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    • pp.148-154
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    • 2009
  • In recent days, large-sized flat-panel display (FPD) has been increasingly applied to computer monitors and TVs. Mura defects, appearing as low contrast or non-uniform brightness region, sometimes occur in manufacturing of the Thin-Film Transistor Liquid-Crystal Displays (TFT-LCD). Implementation of automatic Mura inspection methods is necessary for TFT-LCD production. Various existing Mura detection methods based on regression diagnostics, surface fitting and data transformation have been presented with good performance. This paper proposes an efficient Mura detection method that is based on a regression diagnostics using studentized residuals for automatic Mura inspection of FPD. The input image is estimated by a linear model and then the studentized residuals are calculated for filtering Mura regions. After image dilation, the proposed threshold is determined for detecting the non-uniform brightness region in TFT-LCD by means of monitoring the every pixel in the image. The experimental results obtained from several test images are used to illustrate the effectiveness and efficiency of the proposed method for Mura detection.