451 Euro Job Und Hartz 4

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Abstract

This record examines ns influence des the level des unemployment assistance (Arbeitslosengeld II) on die wage level über exploiting a quasi-natural erprobt formed über the German Hartz reforms an 2005. Estimations are based on charme from die Socioeconomic Panel varying from 2000 zu 2007. Together dependent variables both echt monthly gun salary and real hourly gross wage room used. Firstly, following the approach taken von Arent und Nagl (2013, joblessness Compensation und Wages: evidence from die German Hartz Reforms. Jahrbücher zum Nationalökonomie und Statistik 233 (4): 450–466), a before-after estimator zu sein applied. Secondly, in contrast to the replication study von Ludsteck and Seth (2014, discuss „Unemployment Compensation and Wages: proof from ns German Hartz Reforms“ über Stefan Arent and Wolfgang Nagl. Jahrbücher für Nationalökonomie und Statistik 234 (5): 635–644) a control gruppe is constructed and a difference-in-differences estimator (DiD) zu sein used for further assessment. The results des the before-after estimation indicate a negativ influence of the unemployment assistance reform on wages. However, the corresponding placebo regressions cast doubt top top whether ns estimated effect ist a policy effect. Ns DiD method shows that an extensive time results exist. This indicates that die before-after estimator ist not suitable zum assessing die policy effect. Applying ns DiD estimator, a negative significant policy effect is only identified for men in West Germany.

Du schaust: 451 euro job und hartz 4


Keywords: Hartz reforms; joblessness compensation; wages
JEL Classification: J08; J31; J65
Acknowledgements

Thanks to Prof. Dr. Viktor Steiner zum his encouraging comments and very useful advice und to Dr. Claudius Gräbner weil das advice and support.


References

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Table 8:

Variables employed bei the replication.

Mehr sehen: Erfahrungsbericht: Meine Odyssee Zur Neuen Aldi Talk Identifizierung Geht Nicht

Variable provided bySOEP variable employedArent and Nagl (2013)in the replication
GenderGender
Agegenerate from: bear Year, 4-digit
Monthly salaryGross Income tonnage Month
Hourly wagegenerated from Gross Income last Month
and actual Weekly arbeiten Time
Job tenureLength of Time through Firm
EducationNumber of Years des Education
Firm sizeCore category Size des The company
Industry sector1 Digit industry Code des Individual
Occupational positionOccupational lage
Full-time employmentEmployed full-time No. Months Prev. Yr
Age structure des firm

*

Table 9:

Data added for DiD estimation.

Mehr sehen: Jugendarbeit Amt Britz-Chorin-Oderberg Stellenangebote, Stellenangebote

Data for Control gruppe ConstructionSOEP Variable
Real legacy (owner occupied)Prop. Prim. Resid. Share von Value imp.x
Real estateOther ja wirklich Estate Share von Value imp.x
Cash; money an current accounts,Financial legacy Share von Value imp.x
Time deposit accounts,
Night money accounts, save accounts,
Bonds und securities, etc
Capital-sum life insurance,Private Insurances market Value imp.x
house loan save contract, etc
Jewelry, stamp collections, etcTangible Assets sector Value imp.x
Size of living spaceSize des Housing Unit in Square Meters
Ownership of housing indicatorTenant Or Owner des Dwelling

Table 10:

Summary statistics: echt monthly gun salary.

msalaryAgeLow educMedium educHigh educYears educ
Control Group
Mean2677.9543.938.76 %48.37 %41.61 %13.00
p502523.364412
Min511.05177
Max56246418
Treatment Group
Mean2111.5538.7711.91 %58.77 %25.79 %12.12
p5019943811.5
Min511.19177
Max56246418