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data collection
9
randomized control trials
9
big data
8
optimal survey design
8
orthogonal greedy algorithm
8
survey costs
8
Causality analysis
7
Costs
7
Data collection
7
Data collection method
7
Datenerhebung
7
Erhebungstechnik
7
Kausalanalyse
7
Kosten
7
Sampling
7
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Lee, Sokbae
Grabka, Markus M.
32
Meyer, Bruce D.
21
Mittag, Nikolas
17
Wagner, Gert G.
17
Burkhauser, Richard V.
16
Carletto, Calogero
16
Brakel, Jan A. van den
15
Dillon, Andrew
15
Schouten, Barry
15
Stark, Tom
15
Croushore, Dean Darrell
13
Sokolin, V. L.
13
Beegle, Kathleen
12
Dang, Hai-Anh H.
12
Wilhelm, Daniel
11
Falck-Zepeda, Jose Benjamin
10
Waal, Ton de
10
Abraham, Katharine G.
9
Albers, Sönke
9
Gruère, Guillaume P.
9
Kapetanios, George
9
Manski, Charles F.
9
McKenzie, David J.
9
Merz, Joachim
9
Sithole-Niang, Idah
9
Blau, Francine D.
8
Carneiro, Pedro
8
D'Haultfœuille, Xavier
8
Elbers, Chris
8
Feng, Shuaizhang
8
Figlio, David N.
8
Haltiwanger, John C.
8
Himelein, Kristen
8
Hurd, Michael D.
8
Kahn, Lawrence M.
8
Lanjouw, Peter
8
Olarreaga, Marcelo
8
Sabelhaus, John
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CEMMAP working papers / Centre for Microdata Methods and Practice
4
cemmap working paper
3
Discussion paper series / IZA
1
IZA Discussion Paper
1
IZA Discussion Papers
1
The econometrics journal
1
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ECONIS (ZBW)
7
EconStor
4
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1
Optimal
data
collection
for randomized control trials
Carneiro, Pedro
;
Lee, Sokbae
;
Wilhelm, Daniel
-
2017
of
data
collection
, or improvements of the same magnitude in the precision of the treatment effect estimator. …
Persistent link: https://www.econbiz.de/10011626202
Saved in:
2
Optimal
data
collection
for randomized control trials
Carneiro, Pedro
;
Lee, Sokbae
;
Wilhelm, Daniel
-
2017
of
data
collection
, or improvements of the same magnitude in the precision of the treatment effect estimator. …
Persistent link: https://www.econbiz.de/10011758346
Saved in:
3
Optimal
data
collection
for randomized control trials
Carneiro, Pedro
;
Lee, Sokbae
;
Wilhelm, Daniel
-
2019
% in the costs of
data
collection
, or improvements of the same magnitude in the precision of the treatment effect estimator. …
Persistent link: https://www.econbiz.de/10012003641
Saved in:
4
Optimal
data
collection
for randomized control trials : editor's choice
Carneiro, Pedro
;
Lee, Sokbae
;
Wilhelm, Daniel
- In:
The econometrics journal
23
(
2020
)
1
,
pp. 1-31
Persistent link: https://www.econbiz.de/10012166803
Saved in:
5
Optimal
data
collection
for randomized control trials
Carneiro, Pedro
;
Lee, Sokbae
;
Wilhelm, Daniel
-
2016
to 58%, measured either in terms of reductions in
data
collection
costs or in terms of improvements in the precision of …
Persistent link: https://www.econbiz.de/10011458877
Saved in:
6
Optimal
data
collection
for randomized control trials
Carneiro, Pedro
;
Lee, Sokbae
;
Wilhelm, Daniel
-
2016
of reductions in
data
collection
costs or in terms of improvements in the precision of the treatment effect estimator …
Persistent link: https://www.econbiz.de/10011446549
Saved in:
7
Optimal
Data
Collection
for Randomized Control Trials
Carneiro, Pedro Manuel
-
2016
to 58%, measured either in terms of reductions in
data
collection
costs or in terms of improvements in the precision of …
Persistent link: https://www.econbiz.de/10012992745
Saved in:
8
Optimal
data
collection
for randomized control trials
Carneiro, Pedro M.
;
Lee, Sokbae
;
Wilhelm, Daniel
-
2017
of
data
collection
, or improvements of the same magnitude in the precision of the treatment effect estimator. …
Persistent link: https://www.econbiz.de/10011941445
Saved in:
9
Optimal
data
collection
for randomized control trials
Carneiro, Pedro
;
Lee, Sokbae
;
Wilhelm, Daniel
-
2017
of
data
collection
, or improvements of the same magnitude in the precision of the treatment effect estimator. …
Persistent link: https://www.econbiz.de/10011941505
Saved in:
10
Optimal
data
collection
for randomized control trials
Carneiro, Pedro M.
;
Lee, Sokbae
;
Wilhelm, Daniel
-
2016
in terms of reductions in
data
collection
costs or in terms of improvements in the precision of the treatment effect …
Persistent link: https://www.econbiz.de/10011594325
Saved in:
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