Laurent Gobillon, Thierry Magnac, and Harris Selod, "The Effect of Location on Finding a Job in the Paris Region", Journal of Applied Econometrics, Vol. 26, No. 7, 2011, pp. 1079-1112. Most of the data used in the article are from the Fichier Historique Statistique des Demandeurs d'Emploi, 1993-2003. This is a confidential data source administered by: Pôle emploi Direction des Statistiques, enquêtes et prévisions 1 av. du Docteur Gley 75987 Paris Cedex 20 FRANCE Permission to use this data source should be directed to DARES, INSEE or Pôle Emploi. There is also a dataset that we constructed ourselves from municipal data, which is in the file datacom.csv. The variables used in our study and sample selection rules are described in the file variable.def. Both variable.def and datacom.csv are ASCII files in DOS format. Along with the program files discussed below, they are zipped in the file gms-files.zip. The creation of the dataset and the estimations are conducted in the following programs written in C, GAUSS and STATA. 1/ Programs used for the estimations PROG1_creation_dataset (STATA file): creation of the dataset from the individual data on unemployment durations PROG2_1st_stage_SPLE (GAUSS file): computation of the Stratified Partial Likelihood Estimator (SPLE) PROG3_2nd_stage_municipality_fixed_effects (GAUSS file): computation of the municipality fixed effects PROG4_town_alpha_dataset (STATA file): creation of a dataset including all the municipality variables + variance analysis at the municipality level, cf. Table 5 PROG5_3rd_stage_local_effects (GAUSS file): estimation of the effect of segregation and accessibility variables on municipality fixed effects 2/ Additional programs used to compute some descriptive statistics PROG6_creation_dataset_noncentered (STATA file): creation of an individual dataset with non-centered variables + computation of the descriptive statistics for table A1 PROG7_town_alpha_dataset_noncentered (STATA file): creation of a dataset including all the municipality variables (using noncentered individual variables) PROG8_statdes_inequalities (GAUSS file): computation of inequality indices at the municipality level, cf. Table 1, 2 and 4 3/ Additional program used to compute make tests of fit for the multiplicative specification of the municipality hazard functions PROG9_creation_dataset_Andrews (STATA file): creation of the dataset with unemployed workers in municipality with population>10000 PROG10_hazard_fit (GAUSS file): test of fit of multiplicative municipality hazard functions inspired by Andrews (1997) 4/ Subroutines in C as well as their compiled versions sple3f.txt, sple3f.def, sple3f.dll: C subroutines for the stratified partial likelihood estimator (SPLE) kernel_anpe.txt, kernel_anpe.def, kernel_anpe.dll: C subroutines for smoothing distributions sple3f_andrews.txt, sple3f_andrews.def, sple3f_andrews.dll: C subroutines for testing the fit of multiplicative municipality hazard functions All these programs are zipped in the file gms-files.zip. Please address any questions to: Laurent Gobillon 133 Boulevard Davout 75980 Paris Cedex 20 FRANCE