Vivek Ghosal
- Published in print:
- 2013
- Published Online:
- January 2014
- ISBN:
- 9780804785716
- eISBN:
- 9780804787925
- Item type:
- chapter
- Publisher:
- Stanford University Press
- DOI:
- 10.11126/stanford/9780804785716.003.0007
- Subject:
- Law, Competition Law
This chapter examines optimal structure and enforcement patterns of competition law enforcement agencies. Controlling for the size of the economy, larger agency size is not necessarily optimal. ...
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This chapter examines optimal structure and enforcement patterns of competition law enforcement agencies. Controlling for the size of the economy, larger agency size is not necessarily optimal. Highly developed economies are observed to have comparatively smaller agencies. This is likely driven by relatively better allocation of human capital, and reaping economies of scale and scope in utilization of scarce enforcement and investigative inputs. An important deficiency that prevents better understanding of enforcement patterns and institutional characteristics across countries relates to significant gaps in relevant data. International organizations such as ICN and OECD can meaningfully contribute in alleviating this deficiency.Less
This chapter examines optimal structure and enforcement patterns of competition law enforcement agencies. Controlling for the size of the economy, larger agency size is not necessarily optimal. Highly developed economies are observed to have comparatively smaller agencies. This is likely driven by relatively better allocation of human capital, and reaping economies of scale and scope in utilization of scarce enforcement and investigative inputs. An important deficiency that prevents better understanding of enforcement patterns and institutional characteristics across countries relates to significant gaps in relevant data. International organizations such as ICN and OECD can meaningfully contribute in alleviating this deficiency.
Johana Chylíková
- Published in print:
- 2021
- Published Online:
- May 2021
- ISBN:
- 9780198859987
- eISBN:
- 9780191892448
- Item type:
- chapter
- Publisher:
- Oxford University Press
- DOI:
- 10.1093/oso/9780198859987.003.0016
- Subject:
- Mathematics, Analysis, Applied Mathematics
The aim of this chapter is to illustrate the application of the quasi-simplex model (QSM) for reliability estimation in longitudinal data and to employ it to obtain information about the reliability ...
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The aim of this chapter is to illustrate the application of the quasi-simplex model (QSM) for reliability estimation in longitudinal data and to employ it to obtain information about the reliability of the European Union—Survey on Income and Living Conditions (EU-SILC) data collected between 2012 and 2017. Reliability of two survey questions is analysed: one which asks respondents about the financial situation in their households, and one which requests information about respondents’ health. Employing the QSM on the two items resulted in 80 reliability estimates from 17 and 11 European countries, respectively. Results revealed statistically significant differences in reliability between post-communist Central and Eastern European (CEE) countries and the rest of Europe, and similar patterns of the size of reliability estimates were observed for both items. The highest reliability (i.e. reliability over 0.8) was observed in CEE countries such as Bulgaria, Romania, Czechia, Poland, and Hungary. The lowest reliability (i.e. reliability lower than 0.7) was observed for data from Sweden, Slovenia, Norway, Spain, Portugal, Austria, Italy, and the Netherlands. The remarkable variation in longitudinal reliability across culturally and historically different European regions is discussed both from substantive and methodological perspectives.Less
The aim of this chapter is to illustrate the application of the quasi-simplex model (QSM) for reliability estimation in longitudinal data and to employ it to obtain information about the reliability of the European Union—Survey on Income and Living Conditions (EU-SILC) data collected between 2012 and 2017. Reliability of two survey questions is analysed: one which asks respondents about the financial situation in their households, and one which requests information about respondents’ health. Employing the QSM on the two items resulted in 80 reliability estimates from 17 and 11 European countries, respectively. Results revealed statistically significant differences in reliability between post-communist Central and Eastern European (CEE) countries and the rest of Europe, and similar patterns of the size of reliability estimates were observed for both items. The highest reliability (i.e. reliability over 0.8) was observed in CEE countries such as Bulgaria, Romania, Czechia, Poland, and Hungary. The lowest reliability (i.e. reliability lower than 0.7) was observed for data from Sweden, Slovenia, Norway, Spain, Portugal, Austria, Italy, and the Netherlands. The remarkable variation in longitudinal reliability across culturally and historically different European regions is discussed both from substantive and methodological perspectives.
