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Find more at: https://www.hhs.se/site
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Read about the event here: http://roadtolorien.kyopol.net/digital-networks-and-local-participation/
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Issues arise also for citizens seeking information. They face a rapid growth of internet-based sources, which both creates opportunities for research and difficulties in assessing data quality, credibility, and usability.
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HLEG thematic workshop on Measuring Trust and Social Capital, Bo RothsteinStatsCommunications
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Lee más sobre el evento en: http://rumboalorien.kyopol.net/redes-digitales-y-participacion-local/
-- "Challenges for the application of ICT for participation at the local level"
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Read about the event here: http://roadtolorien.kyopol.net/digital-networks-and-local-participation/
The paper aims at exploring the consequences of the gradually increasing availability of Open Data for evaluation as we know it. Using concepts from the literature on evaluation and democracy, it contends that new technologies both require a new behavior by evaluators and open up possibilities in the very framework in which evaluation is done.
The pressure to open up data changes the way governments and public sector offices conceptualize, produce, and disseminate data. Responding to this demand requires that internal procedures change in fundamental, still partially unexplored ways.
Issues arise also for citizens seeking information. They face a rapid growth of internet-based sources, which both creates opportunities for research and difficulties in assessing data quality, credibility, and usability.
It also implies that public interventions--be they programmes, projects, or services--are open to public scrutiny of a new, more informed type. It increasingly involves expert, non-expert, and differently-expert scrutiny.
It is highly unlikely that Open Data will ever provide all--or even most--information needed for an evaluation. There is a risk that, in addition to opening up new research avenues and framing new evaluation questions by new actors, the availability of great masses of data on public policies obscures the need to directly observe effects and to build credible theories about phenomena.
The very existence of open data, and the possibilities they open up to public scrutiny call into question the role of internal and external evaluators. This is even more so when thinking of the opportunities opened by the ability to conjure collective intelligence in evaluation processes--using concepts already developed in the participation tradition.
The paper explores these themes based on an on-going research project. The two authors are involved in the Open Data movement in Italy and will advance their research during the next months through their work, research on existing literature, and holding workshops (e.g. within the Sapienza Seminar on Classic Evaluation Theorists).
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The rate at which pi will be listed is practically unknown. But due to speculations surrounding it the predicted rate is tends to be from 30$ — 50$.
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@Pi_vendor_247
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Message: @Pi_vendor_247 on telegram.
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Comments on "Convicting corrupt officials: Evidence from randomly assigned cases"
1. Convicting corrupt officials
Evidence from randomly assigned cases
Sebastian Axbard
Discussant: Anna Tompsett, Stockholm University
September 1, 2015
Anna Tompsett Discussion: Convicting corrupt officials
2. Corruption, politics and economic activity
Protests against Malaysian prime minister Najib Razak
Picture credit: Saw Siow Feng, Malay Mail Online
Anna Tompsett Discussion: Convicting corrupt officials
3. Helping us interpret the monitoring literature?
When is monitoring effective in reducing corruption?
• Road projects
• government audits yes, community monitoring no (Olken
2007)
• Health care providers
• community monitoring yes (Björkman and Svensson 2009)
• top-down monitoring yes (Tella and Schargrodsky 2003)
• Politicians
• public audits yes (Ferraz and Finan 2008)
• Teachers
• digital cameras yes (Duflo, Hanna, and Ryan 2012)
• community monitoring no (Banerjee, Banerji, Duflo,
Glennerster, and Khemani 2010)
Anna Tompsett Discussion: Convicting corrupt officials
4. Alternative mechanisms
Random assignment to judge literature focuses largely on outcomes
for individuals. Here, so far: on municipalities.
• So far: replacement effects and information effects
• i.e. my prior that you are corrupt; my prior that I will be
punished for corruption
• What effect does corruption have on both real and reported
rates of income?
• “efficient” vs “inefficient” corruption?
• overpayments à la Tella and Schargrodsky (2003)
• projects halted after corruption discovery e.g. 1MDB
• over or underreporting of payments
• Bottom line: disaggregated results? Qualitative descriptions?
Anna Tompsett Discussion: Convicting corrupt officials
5. Empirics
• Conviction rate very low (range 10-20%): how do we think
about decisions to prosecute? LATE?
• No relation in OLS: richer municipalities more successful at
gaining conviction, or less likely to prosecute political cases?
• Exploit time variation in panel data e.g. instrument for
CONcdt|PROScdt with PROScdt × zcdt|PROScdt
• If we believe this reduces corruption: can we treat conviction
of a corrupt official as proxy for reduced corruption overall?
• Potential issues with instrument (Mueller-Smith 2015)
• omitted treatment bias: is exoneration the only alternative to
conviction?
• failure of monotonicity from heterogeneity of judge behaviour
as a function of defendant/offense characteristics
Anna Tompsett Discussion: Convicting corrupt officials