@article{Ziegelhöfer:295957,
      recid = {295957},
      author = {Ziegelhöfer, Zacharias},
      title = {Down with diarrhea using fuzzy Regression Discontinuity  Design to link communal water supply with health},
      publisher = {Graduate Institute of International and Development  Studies, International Economics Department},
      address = {Geneva. 2012},
      number = {BOOK},
      series = {Graduate Institute of International and Development  Studies Working Paper ; no. 05/2012},
      pages = {42 p. : ill.},
      year = {2012},
      abstract = {This paper contributes to the existing literature by  demonstrating that the provision of communal water supply  can be effective in improving child health if the targeted  population shows adequate hygiene awareness and behavior.  Until now, the fast growing body of literature on water  development interventions could not establish a significant  effect of communal water supply on health. The  insignificant health effect regarding communal water supply  (in contrast to other types of water interventions) found  in meta-studies may be explained by recontamination of the  water between the source and the point of use; and by the  lack of studies which address the mode of selection into  treatment of water programs which may result in biased  estimates. To identify the health effect of communal water  supply, a fuzzy Regression Discontinuity Design set-up is  applied using an eligibility criterion as source of  exogenous variation. The paper also provides practical  insights in a little explored extension of the fuzzy  Regression Discontinuity Design which may have great  relevance for applied research: As occurs often in  practice, the forcing variable determining treatment could  not be directly observed. For this reason, a slightly noisy  measure was reconstructed. To convince the critical reader  of the validity of this approach, a variety of robustness  checks are carried out and the results are cross-validated  through two additional identification strategies: a village  fixed effects and an instrumental variable approach.},
      url = {http://repository.graduateinstitute.ch/record/295957},
}