"346982" . . "Z(MPS4577300901)" . "labour market policy; active labor market policy; classification of claimants; profiling; zone counselling"@en . "RIV/45773009:_____/09:#0000427!RIV10-MPS-45773009" . "Jednotliv\u00E9 mo\u017Enosti systematick\u00E9 kategorizace uchaze\u010D\u016F na \u00DAP jsou analyzo\u010Cv\u00E1ny a porovn\u00E1v\u00E1ny v t\u00E9to studii. Uchaze\u010Di jsou t\u0159\u00EDd\u011Bni na z\u00E1klad\u011B individu\u00E1ln\u00EDho rizika dlouhodob\u00E9 nezam\u011Bstnanosti. Osobn\u00ED ohodnocen\u00ED poradcem na \u00DAP m\u016F\u017Ee b\u00FDt nejspolehliv\u011Bj\u0161\u00ED, nicm\u00E9n\u011B do zna\u010Dn\u00E9 m\u00EDry z\u00E1vis\u00ED na osob\u011B poradce a jeho \u010Dasov\u00FDch mo\u017Enostech. S vysokou \u010Dasovou n\u00E1ro\u010Dnost\u00ED souvis\u00ED i vysok\u00E9 n\u00E1klady. Rizikov\u00E9 skupiny definovan\u00E9 z\u00E1konem o zam\u011Bstnanosti se ukazuj\u00ED b\u00FDt zna\u010Dn\u011B nep\u0159esn\u00E9, nebo\u0165 mezi uchaze\u010Di v r\u00E1mci ka\u017Ed\u00E9 skupiny existuje vysok\u00E1 heterogenita. \u010Casov\u00E9 hranice p\u0159edstavuj\u00ED nejobjektivn\u011Bj\u0161\u00ED zp\u016Fsob t\u0159\u00EDd\u011Bn\u00ED uchaze\u010D\u016F, ale nelze je vyu\u017E\u00EDt pro preventivn\u00ED opat\u0159en\u00ED na trhu pr\u00E1ce. Kone\u010Dn\u011B statistick\u00E9 profilov\u00E1n\u00ED uchaze\u010D\u016F je optim\u00E1ln\u00ED kompromis mezi p\u0159esnost\u00ED, objektivnost\u00ED a n\u00E1klady. P\u0159i vhodn\u00E9 implementaci lze statistick\u00E9 profilov\u00E1n\u00ED vyu\u017E\u00EDt jak pro \u00FA\u010Dely rozd\u011Blen\u00ED uchaze\u010D\u016F do jednotliv\u00FDch skupin z\u00F3nov\u00E9ho poradenstv\u00ED tak pro efektivn\u011Bj\u0161\u00ED p\u0159id\u011Blov\u00E1n\u00ED program\u016F APZ." . "Soukup, Tom\u00E1\u0161" . "3"^^ . . "[C6543F2B8AE5]" . . "Classification of PES claimants - solving problems of targeting of active employment policy and counselling."@en . "Kot\u00EDkov\u00E1, Jarom\u00EDra" . "T\u0159\u00EDd\u011Bn\u00ED uchaze\u010D\u016F na \u00FA\u0159adech pr\u00E1ce - \u0159e\u0161en\u00ED problematiky c\u00EDlen\u00ED APZ a poradenstv\u00ED." . . "T\u0159\u00EDd\u011Bn\u00ED uchaze\u010D\u016F na \u00FA\u0159adech pr\u00E1ce - \u0159e\u0161en\u00ED problematiky c\u00EDlen\u00ED APZ a poradenstv\u00ED."@cs . . "Michali\u010Dka, Ludv\u00EDk" . "3"^^ . "Various alternatives for selecting PES claimants are analysed and compared in this study. Claimants are classified on the basis of the individual\u013As risk of becoming long-term unemployed. An assessment carried out by the relevant counsellor may be the most accurate determination method, however, accuracy and objectivity depend very much on the personality of the counsellor and the amount of time he/she has available. This time-consuming work naturally entails high costs. Risk groups defined by employment legislation seem to be inaccurate; there is a high degree of heterogeneity within each group. Using time limits would seem to be the most objective method, but it is not possible to use this method in terms of a preventative approach. Finally, statistical profiling would seem to represent the optimal compromise between accuracy, objectivity and costs. Suitably implemented profiling can be used for selecting claimants for zone counselling groups as well as for effective ALMP allocation."@en . . . . . . . "T\u0159\u00EDd\u011Bn\u00ED uchaze\u010D\u016F na \u00FA\u0159adech pr\u00E1ce - \u0159e\u0161en\u00ED problematiky c\u00EDlen\u00ED APZ a poradenstv\u00ED." . . . . "978-80-7416-027-1" . . . "50"^^ . . "Praha" . "T\u0159\u00EDd\u011Bn\u00ED uchaze\u010D\u016F na \u00FA\u0159adech pr\u00E1ce - \u0159e\u0161en\u00ED problematiky c\u00EDlen\u00ED APZ a poradenstv\u00ED." . "50"^^ . "V\u00FDzkumn\u00FD \u00FAstav pr\u00E1ce a soci\u00E1ln\u00EDch v\u011Bc\u00ED, v.v.i." . "Classification of PES claimants - solving problems of targeting of active employment policy and counselling."@en . "T\u0159\u00EDd\u011Bn\u00ED uchaze\u010D\u016F na \u00FA\u0159adech pr\u00E1ce - \u0159e\u0161en\u00ED problematiky c\u00EDlen\u00ED APZ a poradenstv\u00ED."@cs . "RIV/45773009:_____/09:#0000427" . . "Jednotliv\u00E9 mo\u017Enosti systematick\u00E9 kategorizace uchaze\u010D\u016F na \u00DAP jsou analyzo\u010Cv\u00E1ny a porovn\u00E1v\u00E1ny v t\u00E9to studii. Uchaze\u010Di jsou t\u0159\u00EDd\u011Bni na z\u00E1klad\u011B individu\u00E1ln\u00EDho rizika dlouhodob\u00E9 nezam\u011Bstnanosti. Osobn\u00ED ohodnocen\u00ED poradcem na \u00DAP m\u016F\u017Ee b\u00FDt nejspolehliv\u011Bj\u0161\u00ED, nicm\u00E9n\u011B do zna\u010Dn\u00E9 m\u00EDry z\u00E1vis\u00ED na osob\u011B poradce a jeho \u010Dasov\u00FDch mo\u017Enostech. S vysokou \u010Dasovou n\u00E1ro\u010Dnost\u00ED souvis\u00ED i vysok\u00E9 n\u00E1klady. Rizikov\u00E9 skupiny definovan\u00E9 z\u00E1konem o zam\u011Bstnanosti se ukazuj\u00ED b\u00FDt zna\u010Dn\u011B nep\u0159esn\u00E9, nebo\u0165 mezi uchaze\u010Di v r\u00E1mci ka\u017Ed\u00E9 skupiny existuje vysok\u00E1 heterogenita. \u010Casov\u00E9 hranice p\u0159edstavuj\u00ED nejobjektivn\u011Bj\u0161\u00ED zp\u016Fsob t\u0159\u00EDd\u011Bn\u00ED uchaze\u010D\u016F, ale nelze je vyu\u017E\u00EDt pro preventivn\u00ED opat\u0159en\u00ED na trhu pr\u00E1ce. Kone\u010Dn\u011B statistick\u00E9 profilov\u00E1n\u00ED uchaze\u010D\u016F je optim\u00E1ln\u00ED kompromis mezi p\u0159esnost\u00ED, objektivnost\u00ED a n\u00E1klady. P\u0159i vhodn\u00E9 implementaci lze statistick\u00E9 profilov\u00E1n\u00ED vyu\u017E\u00EDt jak pro \u00FA\u010Dely rozd\u011Blen\u00ED uchaze\u010D\u016F do jednotliv\u00FDch skupin z\u00F3nov\u00E9ho poradenstv\u00ED tak pro efektivn\u011Bj\u0161\u00ED p\u0159id\u011Blov\u00E1n\u00ED program\u016F APZ."@cs . .