title: CPI mismeasurements and their impacts on economic management in Korea

authors: Chung, Chul

subjects: consumer price index

abstract: We estimate the consumer price index (CPI) bias in Korea by employing the approach of Engel's Law as suggested by Hamilton (2001). Using Korean panel data (Korean Labor and Income Panel Study) and following Hamilton's model with a non-linear specification correction, our estimation result shows that the CPI bias over the sample period (2000–05) averaged at least 0.7 percent annually, which implies that about 21 percent of the inflation rate during the sample period can be attributed to the bias. This CPI bias has caused a substantial understatement of the growth in real GDP and contributes to excessive transfers from younger taxpayers to the elderly through indexed pension payments. We discuss the implications of the CPI bias for economic management and policies in Korea.

text: CPI mismeasurements and their impacts on economic management in Korea We estimate the consumer price index (CPI) bias in Korea by employing the approach of Engel's Law as suggested by Hamilton (2001). Using Korean panel data (Korean Labor and Income Panel Study) and following Hamilton's model with a non-linear specification correction, our estimation result shows that the CPI bias over the sample period (2000–05) averaged at least 0.7 percent annually, which implies that about 21 percent of the inflation rate during the sample period can be attributed to the bias. This CPI bias has caused a substantial understatement of the growth in real GDP and contributes to excessive transfers from younger taxpayers to the elderly through indexed pension payments. We discuss the implications of the CPI bias for economic management and policies in Korea.

year: 2010

title: Exploiting web 2.0 forallknowledge-based information retrieval

authors: Milne, David N.

subjects: computer science

abstract: This paper describes ongoing research into obtaining and using knowledge bases to assist information retrieval. These structures are prohibitively expensive to obtain manually, yet automatic approaches have been researched for decades with limited success. This research investigates a potential shortcut: a way to provide knowledge bases automatically, without expecting computers to replace expert human indexers. Instead we aim to replace the professionals with thousands or even millions of amateurs: with the growing community of contributors who form the core of Web 2.0. Specifically we focus on Wikipedia, which represents a rich tapestry of topics and semantics and a huge investment of human effort and judgment. We show how this can be directly exploited to provide manually-defined yet inexpensive knowledge-bases that are specifically tailored to expose the topics, terminology and semantics of individual document collections. We are also concerned with how best to make these structures available to users, and aim to produce a complete knowledge-based retrieval system-both the knowledge base and the tools to apply it-that can be evaluated by how well it assists real users in performing realistic and practical information retrieval tasks. To this end we have developed Koru, a new search engine that offers concrete evidence of the effectiveness of our Web 2.0 based techniques for assisting information retrieval.

text: Exploiting web 2.0 forallknowledge-based information retrieval This paper describes ongoing research into obtaining and using knowledge bases to assist information retrieval. These structures are prohibitively expensive to obtain manually, yet automatic approaches have been researched for decades with limited success. This research investigates a potential shortcut: a way to provide knowledge bases automatically, without expecting computers to replace expert human indexers. Instead we aim to replace the professionals with thousands or even millions of amateurs: with the growing community of contributors who form the core of Web 2.0. Specifically we focus on Wikipedia, which represents a rich tapestry of topics and semantics and a huge investment of human effort and judgment. We show how this can be directly exploited to provide manually-defined yet inexpensive knowledge-bases that are specifically tailored to expose the topics, terminology and semantics of individual document collections. We are also concerned with how best to make these structures available to users, and aim to produce a complete knowledge-based retrieval system-both the knowledge base and the tools to apply it-that can be evaluated by how well it assists real users in performing realistic and practical information retrieval tasks. To this end we have developed Koru, a new search engine that offers concrete evidence of the effectiveness of our Web 2.0 based techniques for assisting information retrieval.

year: 2007

title: Te Mata Ira—Faces of the Gene: Developing a cultural foundation for biobanking and genomic research involving Māori

authors: Hudson, Maui

abstract: Te Mata Ira was a three-year research project (2012–2015) that explored Māori views on genomic research and biobanking for the development of culturally appropriate guidelines. A key component of this process has been to identify Māori concepts that provide cultural reference points for engaging with biobanking and genomic research. These cultural cues provide the basis for describing the cultural logic that underpins engagement in this context in a culturally acceptable manner. This paper outlines the role of two wānanga (workshops) conducted as part of the larger project that were used to make sense of the Māori concepts that emerged from other data-collection activities. The wānanga involved six experts who worked with the research team to make sense of the Māori concepts. The wānanga process created the logic behind the cultural foundation for biobanking and genomic research, providing a basis for understanding Māori concepts, Māori ethical principles and their application to biobanking and genomic research.

text: Te Mata Ira—Faces of the Gene: Developing a cultural foundation for biobanking and genomic research involving Māori Te Mata Ira was a three-year research project (2012–2015) that explored Māori views on genomic research and biobanking for the development of culturally appropriate guidelines. A key component of this process has been to identify Māori concepts that provide cultural reference points for engaging with biobanking and genomic research. These cultural cues provide the basis for describing the cultural logic that underpins engagement in this context in a culturally acceptable manner. This paper outlines the role of two wānanga (workshops) conducted as part of the larger project that were used to make sense of the Māori concepts that emerged from other data-collection activities. The wānanga involved six experts who worked with the research team to make sense of the Māori concepts. The wānanga process created the logic behind the cultural foundation for biobanking and genomic research, providing a basis for understanding Māori concepts, Māori ethical principles and their application to biobanking and genomic research.

year: 2016