Robert E. Goodin
- Published in print:
- 2008
- Published Online:
- September 2008
- ISBN:
- 9780199547944
- eISBN:
- 9780191720116
- Item type:
- chapter
- Publisher:
- Oxford University Press
- DOI:
- 10.1093/acprof:oso/9780199547944.003.0005
- Subject:
- Political Science, Comparative Politics, Political Theory
Insofar as the reason ‘why’ we want deliberative democracy is just to pool information, what justifies so much emphasis among deliberative democrats on talking face-to-face to the exclusion of other ...
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Insofar as the reason ‘why’ we want deliberative democracy is just to pool information, what justifies so much emphasis among deliberative democrats on talking face-to-face to the exclusion of other equally good ways of pooling information? This chapter develops a contrast between two ways of pooling information: mechanically (through vote counting) and discursively (through talking together). It goes on to canvass five ways in which pooling information discursively might capture information that would have been lost had the information-pooling been done by more purely mechanical means.Less
Insofar as the reason ‘why’ we want deliberative democracy is just to pool information, what justifies so much emphasis among deliberative democrats on talking face-to-face to the exclusion of other equally good ways of pooling information? This chapter develops a contrast between two ways of pooling information: mechanically (through vote counting) and discursively (through talking together). It goes on to canvass five ways in which pooling information discursively might capture information that would have been lost had the information-pooling been done by more purely mechanical means.
Robert E. Goodin
- Published in print:
- 2008
- Published Online:
- September 2008
- ISBN:
- 9780199547944
- eISBN:
- 9780191720116
- Item type:
- chapter
- Publisher:
- Oxford University Press
- DOI:
- 10.1093/acprof:oso/9780199547944.003.0004
- Subject:
- Political Science, Comparative Politics, Political Theory
In its recent ‘deliberative’ turn, democratic theory has forgotten a conventional wisdom, once widely appreciated, that there is much in politics that is better not discussed. This chapter catalogues ...
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In its recent ‘deliberative’ turn, democratic theory has forgotten a conventional wisdom, once widely appreciated, that there is much in politics that is better not discussed. This chapter catalogues what topics might be deemed ‘politically undiscussable’, and why, as a first step toward showing how and to what extent talking about such matters might help or hinder their resolution. One important way discussion helps is by information-pooling helping to establish the truth of the matter. Even where that is not a viable aspiration, discussion might nonetheless serve a ‘premise-revealing’ function, showing one another that we are reasonable agents and in that way helping to desensitize contentious issues.Less
In its recent ‘deliberative’ turn, democratic theory has forgotten a conventional wisdom, once widely appreciated, that there is much in politics that is better not discussed. This chapter catalogues what topics might be deemed ‘politically undiscussable’, and why, as a first step toward showing how and to what extent talking about such matters might help or hinder their resolution. One important way discussion helps is by information-pooling helping to establish the truth of the matter. Even where that is not a viable aspiration, discussion might nonetheless serve a ‘premise-revealing’ function, showing one another that we are reasonable agents and in that way helping to desensitize contentious issues.
Kuangyu Wen and Ximing Wu
- Published in print:
- 2020
- Published Online:
- December 2020
- ISBN:
- 9780190636685
- eISBN:
- 9780190636722
- Item type:
- chapter
- Publisher:
- Oxford University Press
- DOI:
- 10.1093/oso/9780190636685.003.0014
- Subject:
- Economics and Finance, Microeconomics
This study concerns the estimation of spatially similar densities, each with a small number of observations. To achieve flexibility and improved efficiency, we propose kernel-based estimators that ...
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This study concerns the estimation of spatially similar densities, each with a small number of observations. To achieve flexibility and improved efficiency, we propose kernel-based estimators that are refined by generalized empirical likelihood probability weights associated with spatial moment conditions. We construct spatial moments based on spline basis functions that facilitate desirable local customization. Monte Carlo simulations demonstrate the good performance of the proposed method. To illustruate its usefulness, we apply this method to the estimation of crop yield distributions that are known to be spatically similar.Less
This study concerns the estimation of spatially similar densities, each with a small number of observations. To achieve flexibility and improved efficiency, we propose kernel-based estimators that are refined by generalized empirical likelihood probability weights associated with spatial moment conditions. We construct spatial moments based on spline basis functions that facilitate desirable local customization. Monte Carlo simulations demonstrate the good performance of the proposed method. To illustruate its usefulness, we apply this method to the estimation of crop yield distributions that are known to be spatically similar.
