Assessing the Activeness of Online Economic Activity of Taiwan’s Internet Users: An Application of the Super-Efficiency Data Envelopment Analysis Model

Chen, Chih‐Cheng

doi:10.1007/s11205-014-0690-y

Cited by 9 publications

(10 citation statements)

References 31 publications

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“…They further argue that researchers should really be concerned about the quality of the responses and, consequently, the quality of the obtained results. On the one hand, access to Internet, computer literacy, and interest to participate in surveys are rarely evenly distributed in the population (see Chen 2014; Valliant and Dever 2011, for a recent overview of methodological approaches). On the other hand, some topics may particularly encourage/discourage certain types of responders to participate at all (Fang, Shao, and Lan 2009; Wright 2005) or to complete the survey (Tijdens 2014).…”

Section: Insights From the Literaturementioning

confidence: 99%

“…Even in the cases where surveys reach entire targeted population, nonresponse might be larger in the case of Internet-based surveys due to technical issues, such as the lack of a stable connection or insuficient time to complete the survey, among others. Finally, one should consider that individuals of different groups might have different preferences concerning Internet use (e.g., Chen 2014; Steinmetz et al 2013).…”

Section: Insights From the Literaturementioning

confidence: 99%

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A Cautionary Note on the Reliability of the Online Survey Data: The Case of Wage Indicator

Smyk

Tyrowicz

Velde

2018

Sociological Methods & Research

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We investigate the reliability of data from the Wage Indicator (WI), the largest online survey on earnings and working conditions. Comparing WI to nationally representative data sources for 17 countries reveals that participants of WI are not likely to have been representatively drawn from the respective populations. Previous literature has proposed to utilize weights based on inverse propensity scores, but this procedure was shown to leave reweighted WI samples different from the benchmark nationally representative data. We propose a novel procedure, building on covariate balancing propensity score, which achieves complete reweighting of the WI data, making it able to replicate the structure of nationally representative samples on observable characteristics. While rebalancing assures the match between WI and representative benchmark data sources, we show that the wage schedules remain different for a large group of countries. Using the example of a Mincerian wage regression, we find that in more than a third of the cases, our proposed novel reweighting assures that estimates obtained on WI data are not biased relative to nationally representative data. However, in the remaining 60 percent of the analyzed 95 data sets, systematic differences in the estimated coefficients of the Mincerian wage regression between WI and nationally representative data persist even after reweighting. We provide some intuition about the reasons behind these biases. Notably, objective factors such as access to the Internet or richness appear to matter, but self-selection (on unobservable characteristics) among WI participants appears to constitute an important source of bias.

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Section: Insights From the Literaturementioning

confidence: 99%

Section: Insights From the Literaturementioning

confidence: 99%

A Cautionary Note on the Reliability of the Online Survey Data: The Case of Wage Indicator

Smyk

Tyrowicz

Velde

2018

Sociological Methods & Research

View full text Add to dashboard Cite

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“…Finally, one should consider that individuals of different groups might have different preferences concerning Internet use (e.g. Steinmetz et al, 2013;Chen, 2014).…”

Section: Representativeness Of the Online Datamentioning

confidence: 99%

“…They further argue that researchers should really be concerned about the quality of the responses and, consequently, the quality of the obtained results. On the one hand, access to Internet, computer literacy and interest to participate in surveys are rarely evenly distributed in the population (see Valliant and Dever, 2011;Chen, 2014, for a recent overview of methodological approaches). On the other hand, some topics may particularly encourage / discourage certain types of responders to participate at all (Wright, 2005;Fang et al, 2009) or to complete the survey (Tijdens, 2014).…”

Section: Introductionmentioning

confidence: 99%

A Cautionary Note on the Reliability of the Online Survey Data: The Case of Wage Indicator

2018

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“…Kelly and Minges 2012;Sudan et al 2010;Qiang et al 2012;Yamamichi 2012) including high-tech exports, digital networking expansion projects and secured internet services in Latin America. Chen (2015) assessed the economic activeness of internet users in Taiwan and argued that internet users substantially involved in information and communications technologies for online economic activities.…”

Section: Relationship Between Information and Communications Technolomentioning

confidence: 99%

Quadrilateral Relationship Between Information and Communications Technology, Patent Applications, Research and Development Expenditures, and Growth Factors: Evidence from the Group of Seven (G-7) Countries

et al. 2016

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The quadrilateral relationship between information and communications technology (ICT), patent applications, research and development expenditures and specific growth factors examine to formulate the broad-based growth policies in the context of Group of seven (G-7) countries, over the period of 1995-2013. The ICT variables are explained by internet users, mobile cellular subscriptions and high-technology exports; while research and development (R&D) variables include R&D expenditures and researchers in R&D. Patent data is used to evaluate the amount of innovation undertaken in the G-7 countries and it comprises residential patent applicants and non-residential patent applicants. Finally, the study used three growth factors including GDP per capita, foreign direct investment (FDI) inflows and GDP per unit use of energy for appraising the growth reforms in the G-7 countries. The results show that there is a significant and positive relationship between high-technology exports and growth factors, while there is a negative relationship between residential patent applicants and per capita GDP (and FDI inflows).region. There is a negative relationship between R&D expenditures and GDP per capita (and energy efficiency), while researchers involved in R&D activities significantly enlarge the per capita GDP and energy efficiency in the G-7 countries. The results of variance decomposition analysis confirmed the importance of ICT over the next 10 years period. The study concludes that R&D expenditures and innovation required strong policy vista in order to amplify the growth factors in the region.

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Assessing the Activeness of Online Economic Activity of Taiwan’s Internet Users: An Application of the Super-Efficiency Data Envelopment Analysis Model

Cited by 9 publications

References 31 publications

A Cautionary Note on the Reliability of the Online Survey Data: The Case of Wage Indicator

A Cautionary Note on the Reliability of the Online Survey Data: The Case of Wage Indicator

A Cautionary Note on the Reliability of the Online Survey Data: The Case of Wage Indicator

Quadrilateral Relationship Between Information and Communications Technology, Patent Applications, Research and Development Expenditures, and Growth Factors: Evidence from the Group of Seven (G-7) Countries

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