Clustering and Standard Error Bias in Fixed Effects Panel Data Regressions
We address several issues concerning standard error bias in pooled time-series cross-section regressions. These include autocorrelation, problems with unit root tests, nonstationarity in levels regressions, and problems with clustered standard errors.
Main Author: | |
---|---|
Contributors: | |
Format: | Electronic Article |
Language: | English |
Published: |
2020
|
In: |
Journal of quantitative criminology
Year: 2020, Volume: 36, Issue: 2, Pages: 347-369 |
Online Access: |
Volltext (Resolving-System) |
Journals Online & Print: | |
Check availability: | HBZ Gateway |
Keywords: |
MARC
LEADER | 00000naa a22000002 4500 | ||
---|---|---|---|
001 | 1734042494 | ||
003 | DE-627 | ||
005 | 20200930160442.0 | ||
007 | cr uuu---uuuuu | ||
008 | 200930s2020 xx |||||o 00| ||eng c | ||
024 | 7 | |a 10.1007/s10940-018-9383-z |2 doi | |
035 | |a (DE-627)1734042494 | ||
035 | |a (DE-599)KXP1734042494 | ||
040 | |a DE-627 |b ger |c DE-627 |e rda | ||
041 | |a eng | ||
100 | 1 | |a Moody, Carlisle Eaton |e VerfasserIn |0 (DE-588)17062644X |0 (DE-627)06074166X |0 (DE-576)131493965 |4 aut | |
109 | |a Moody, Carlisle Eaton |a Eaton Moody, Carlisle |a Moody, Carlisle Eaton jun. |a Moody, C. E. |a Moody, Carlisle E. | ||
245 | 1 | 0 | |a Clustering and Standard Error Bias in Fixed Effects Panel Data Regressions |
264 | 1 | |c 2020 | |
336 | |a Text |b txt |2 rdacontent | ||
337 | |a Computermedien |b c |2 rdamedia | ||
338 | |a Online-Ressource |b cr |2 rdacarrier | ||
520 | |a We address several issues concerning standard error bias in pooled time-series cross-section regressions. These include autocorrelation, problems with unit root tests, nonstationarity in levels regressions, and problems with clustered standard errors. | ||
650 | 4 | |a Weighted regressions | |
650 | 4 | |a Difference-in-differences | |
650 | 4 | |a Small N | |
650 | 4 | |a Clustered standard errors | |
650 | 4 | |a Nonstationarity | |
650 | 4 | |a Auto correlation | |
650 | 4 | |a Panel data regression | |
700 | 1 | |a Marvell, Thomas B. |e VerfasserIn |4 aut | |
773 | 0 | 8 | |i Enthalten in |t Journal of quantitative criminology |d New York, NY [u.a.] : Springer Science + Business Media B.V., 1985 |g 36(2020), 2, Seite 347-369 |h Online-Ressource |w (DE-627)320578003 |w (DE-600)2017241-2 |w (DE-576)104082321 |x 1573-7799 |7 nnns |
773 | 1 | 8 | |g volume:36 |g year:2020 |g number:2 |g pages:347-369 |
856 | 4 | 0 | |u http://dx.doi.org/10.1007/s10940-018-9383-z |x Resolving-System |3 Volltext |
935 | |a mkri | ||
951 | |a AR | ||
ELC | |a 1 | ||
LOK | |0 000 xxxxxcx a22 zn 4500 | ||
LOK | |0 001 3764209666 | ||
LOK | |0 003 DE-627 | ||
LOK | |0 004 1734042494 | ||
LOK | |0 005 20200930160442 | ||
LOK | |0 008 200930||||||||||||||||ger||||||| | ||
LOK | |0 040 |a DE-21-110 |c DE-627 |d DE-21-110 | ||
LOK | |0 092 |o n | ||
LOK | |0 689 |a s |a Panel data regression | ||
LOK | |0 689 |a s |a Auto correlation | ||
LOK | |0 689 |a s |a Nonstationarity | ||
LOK | |0 689 |a s |a Clustered standard errors | ||
LOK | |0 689 |a s |a Small N | ||
LOK | |0 689 |a s |a Difference-in-differences | ||
LOK | |0 689 |a s |a Weighted regressions | ||
LOK | |0 852 |a DE-21-110 | ||
LOK | |0 852 1 |9 00 | ||
LOK | |0 935 |a krub |a krzo | ||
LOK | |0 000 xxxxxcx a22 zn 4500 | ||
LOK | |0 001 3957264162 | ||
LOK | |0 003 DE-627 | ||
LOK | |0 004 1734042494 | ||
LOK | |0 005 20210724061700 | ||
LOK | |0 008 210724||||||||||||||||ger||||||| | ||
LOK | |0 035 |a (DE-2619)KrimDok#2021-07-23#019E32785A5544D9BD03BE29F045CDA44769628B | ||
LOK | |0 040 |a DE-2619 |c DE-627 |d DE-2619 | ||
LOK | |0 092 |o n | ||
LOK | |0 852 |a DE-2619 | ||
LOK | |0 852 1 |9 00 | ||
LOK | |0 935 |a zota | ||
ORI | |a SA-MARC-krimdoka001.raw |