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~person:"Eibich, Peter"
~person:"Orzen, Henrik"
~source:"repec"
~subject:"Competition"
~subject:"Germany"
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Eibich, Peter
Orzen, Henrik
Siciliani, Luigi
5
Straume, Odd Rune
5
Brekke, Kurt R.
4
Claussen, Jörg
4
Trüg, Moritz
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Centre for Decision Research and Experimental Economics (CeDEx), School of Economics
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1
Endogenous
entry
in contests
Morgan, John
;
Orzen, Henrik
;
Sefton, Martin
- In:
Economic Theory
51
(
2012
)
2
,
pp. 435-463
that (a) contest
entry
and rent-seeking expenditures increase with the size of the prize and (b) earnings are equalized …
Persistent link: https://www.econbiz.de/10010593368
Saved in:
2
Endogenous
Entry
in Contests
Morgan, John
;
Orzen, Henrik
;
Sefton, Martin
-
Centre for Decision Research and Experimental Economics …
-
2008
that (a) contest
entry
and rent-seeking expenditures increase with the size of the prize; and (b) earnings are equalized …
Persistent link: https://www.econbiz.de/10010552252
Saved in:
3
Endogenous
Entry
in Contests
Morgan, John
;
Orzen, Henrik
;
Sefton, Martin
-
Centre for Decision Research and Experimental Economics …
-
2008
that (a) contest
entry
and rent-seeking expenditures increase with the size of the prize; and (b) earnings are equalized …
Persistent link: https://www.econbiz.de/10005796055
Saved in:
4
Examining the structure of spatial health effects in Germany using Hierarchical Bayes Models
Eibich, Peter
;
Ziebarth, Nicolas R.
- In:
Regional Science and Urban Economics
49
(
2014
)
C
,
pp. 305-320
This paper uses Hierarchical Bayes Models to model and estimate spatial health effects in Germany. We combine rich individual-level household panel data from the German SOEP with administrative county-level data to estimate spatial county-level health dependencies. As dependent variable we use...
Persistent link: https://www.econbiz.de/10011117437
Saved in:
5
Examining the Structure of Spatial Health Effects in Germany Using Hierarchical Bayes Models
Eibich, Peter
;
Ziebarth, Nicolas
- In:
EconStor Open Access Articles
(
2014-11
),
pp. 305-320
This paper uses Hierarchical Bayes Models to model and estimate spatial health effects in Germany. We combine rich individual-level household panel data from the German SOEP with administrative county-level data to estimate spatial county-level health dependencies. As dependent variable we use...
Persistent link: https://www.econbiz.de/10011161210
Saved in:
6
Examining the Structure of Spatial Health Effects in Germany Using Hierarchical Bayes Models
Eibich, Peter
;
Ziebarth, Nicolas R.
-
Forschungsbasierte Infrastruktureinrichtung …
-
2013
This paper uses Hierarchical Bayes Models to model and estimate spatial health effects in Germany. We combine rich individual-level household panel data from the German SOEP with administrative county-level data to estimate spatial county-level health dependencies. As dependent variable we use...
Persistent link: https://www.econbiz.de/10010896253
Saved in:
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