caa a22 4500 397566247 CHVBK 20180308164829.0 cr unu---uuuuu 161202e199608 xx s 000 0 eng 10.1093/wbro/11.2.199 doi (NATIONALLICENCE)oxford-10.1093/wbro/11.2.199 Ravallion Martin HOW WELL CAN METHOD SUBSTITUTE FOR DATA? FIVE EXPERIMENTS IN POVERTY ANALYSIS [Elektronische Daten] [Martin Ravallion] No one doubts that good data are essential to sound policymaking. Alas, data are invariably faulty. Methodological solutions to data inadequacies have often been proposed and implemented, but they have been tested only rarely. Yet the methods that are used may well determine the direction of policy. For example, the particular survey method used—and the way nonsurvey data are interpreted—may be critical in assessing whether a country's strategy for reducing poverty is working. This article shows how counterfactual experiments can help test the reliability of various methods of dealing with common data problems. Well-designed methods—and they need not be very complicated—can help get around the problem, although it appears that substituting method for data is a long way from being perfect. © 1996 The International Bank for Reconstruction and Development/The World Bank Articles nationallicence The World Bank Research Observer Oxford University Press 11/2(1996-08), 199-221 0257-3032 11:2<199 1996 11 wbro https://doi.org/10.1093/wbro/11.2.199 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1093/wbro/11.2.199 text/html Onlinezugriff via DOI NATIONALLICENCE 100 1- Ravallion Martin NATIONALLICENCE 773 0- The World Bank Research Observer Oxford University Press 11/2(1996-08), 199-221 0257-3032 11:2<199 1996 11 wbro Metadata rights reserved CC BY-NC-4.0 http://creativecommons.org/licenses/by-nc/4.0 nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-oxford