Pavle Sicherl
Biographic Data
| ID | 4265546 |
|---|---|
| NAME | Pavle Sicherl |
| GIVEN NAMES | Pavle |
| FAMILY NAME | Sicherl |
| SIGNATURE | SICHERL P |
| AFFILIATIONS | University of Ljubljana |
| VERIFIED | No |
| TOTAL WORKS | 5 |
| TOTAL CITATIONS | 26 |
| WORKS AS AUTHOR | 5 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 1992 |
| LATEST PUBLICATION YEAR | 2019 |
| H-INDEX | 3 |
Different statistical measures create different perceptions of the digital divide
Simultaneous two-dimensional comparisons of time series data—vertically (static difference) and horizontally (Sicherl-time-distance)—for numerous ITU and Eurostat datasets show that estimates of the magnitude of digital divide can differ substantially between conventional static measures and Sicherl-time-distance, a dynamic measure of disparity. Comparing digital divide indicators with other indicators of social inequality (life expectancy, infan…
The inter-temporal aspect of well-being and societal progress
Methodological Challenges of Digital Divide Measurements
The term “digital divide” has been used for almost a decade and typically relates to sociodemographic differences in the use of information and communication technology. However, the corresponding measurement is still relatively imprecise. Very often it is simply reduced to comparisons of Internet penetration rates. This article extends the measurements above the usual bivariate comparisons. Within this context, three essential approaches are pre…
Comparing in two dimensions
The increasing integration of EU countries and the introduction of a new round of Applicant countries has created the need for more comparable statistics on indicators and more standardised statistical measures. Hence, indicators such as life expectancy, or GDP per capita have been used for measuring the ‘progress’ of Candidate countries in the Enlargement process, mainly as static measures like Gini coefficients, while the dimension of time is n…
Integrating Comparisons Across Time and Space
An extended conceptual and analytical framework is elaborated where proximity in time as one dimension of a multidimensional concept of disparity is used as a tool to integrate space and time in comparative analysis. Time distance measures the difference in time (number of years) when two compared units achieve a given level of the indicator. Time distance emphasises a novel perspective of disparity between the compared units, and time is a unive…
Methodological Challenges of Digital Divide Measurements
The term “digital divide” has been used for almost a decade and typically relates to sociodemographic differences in the use of information and communication technology. However, the corresponding measurement is still relatively imprecise. Very often it is simply reduced to comparisons of Internet penetration rates. This article extends the measurements above the usual bivariate comparisons. Within this context, three essential approaches are pre…
The inter-temporal aspect of well-being and societal progress
Integrating Comparisons Across Time and Space
An extended conceptual and analytical framework is elaborated where proximity in time as one dimension of a multidimensional concept of disparity is used as a tool to integrate space and time in comparative analysis. Time distance measures the difference in time (number of years) when two compared units achieve a given level of the indicator. Time distance emphasises a novel perspective of disparity between the compared units, and time is a unive…
Comparing in two dimensions
The increasing integration of EU countries and the introduction of a new round of Applicant countries has created the need for more comparable statistics on indicators and more standardised statistical measures. Hence, indicators such as life expectancy, or GDP per capita have been used for measuring the ‘progress’ of Candidate countries in the Enlargement process, mainly as static measures like Gini coefficients, while the dimension of time is n…
Integrating Comparisons Across Time and Space
An extended conceptual and analytical framework is elaborated where proximity in time as one dimension of a multidimensional concept of disparity is used as a tool to integrate space and time in comparative analysis. Time distance measures the difference in time (number of years) when two compared units achieve a given level of the indicator. Time distance emphasises a novel perspective of disparity between the compared units, and time is a unive…
Comparing in two dimensions
The increasing integration of EU countries and the introduction of a new round of Applicant countries has created the need for more comparable statistics on indicators and more standardised statistical measures. Hence, indicators such as life expectancy, or GDP per capita have been used for measuring the ‘progress’ of Candidate countries in the Enlargement process, mainly as static measures like Gini coefficients, while the dimension of time is n…
Methodological Challenges of Digital Divide Measurements
The term “digital divide” has been used for almost a decade and typically relates to sociodemographic differences in the use of information and communication technology. However, the corresponding measurement is still relatively imprecise. Very often it is simply reduced to comparisons of Internet penetration rates. This article extends the measurements above the usual bivariate comparisons. Within this context, three essential approaches are pre…
The inter-temporal aspect of well-being and societal progress
Different statistical measures create different perceptions of the digital divide
Simultaneous two-dimensional comparisons of time series data—vertically (static difference) and horizontally (Sicherl-time-distance)—for numerous ITU and Eurostat datasets show that estimates of the magnitude of digital divide can differ substantially between conventional static measures and Sicherl-time-distance, a dynamic measure of disparity. Comparing digital divide indicators with other indicators of social inequality (life expectancy, infan…
Computer Science (5 works) · Data science (3 works) · Econometrics (3 works) · Economics (3 works) · Mathematics (3 works) · Sociology (3 works) · Digital divide (2 works) · Dimension (graph theory (2 works) · Geography (2 works) · Global trade and economics (2 works)