### Citations

359 |
Bayesian Inference for Causal Effects: The Role of Randomization. The Annals of Statistics,
- Rubin
- 1978
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Citation Context ...omes. Throughout the paper, I maintain the stable unit treatment value assumption,8 which says that individuals’ potential outcomes {y (t)}t∈T do not depend on other individuals’ realized treatments (=-=Rubin 1978-=-). 3. Shape Restrictions In this section, I explore the identifying power of shape restrictions that formalize complementarity and substitutability, with an emphasis on the identification of average t... |

268 | The planning of experiments. - Cox - 1958 |

245 | Making The Most Out of Programme Evaluation and Social Experiments: Accounting For Heterogeneity in Programme Impacts.” Review of Economic Studies 64(4 - Heckman, Smith, et al. - 1997 |

181 | Anatomy of the Selection Problem,” - Manski - 1989 |

176 | Monotone instrumental variables: With an application to returns to schooling
- Manski, Pepper, et al.
- 2002
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Citation Context ...has motivated researchers to find weaker and more credible forms of these assumptions that still retain some identification power. A leading example is the notion of a monotone instrumental variable (=-=Manski and Pepper 2000-=-, 2009): Assumption MIV. xk is a monotone instrumental variable if, for all t, t ′ ∈ T and all x−k, xk ≤ x ′ k =⇒ E [ y (t) | z = t ′, x = (xk, x−k) ] ≤ E [ y (t) | z = t ′, x = (x′k, x−k) ] Manski an... |

57 |
The intergenerational transmission of welfare receipt: A nonparametric bounds analysis.
- Pepper
- 2000
(Show Context)
Citation Context ...ed researchers to find weaker and more credible forms of these assumptions that still retain some identification power. A leading example is the notion of a monotone instrumental variable (Manski and =-=Pepper 2000-=-, 2009): Assumption MIV. xk is a monotone instrumental variable if, for all t, t ′ ∈ T and all x−k, xk ≤ x ′ k =⇒ E [ y (t) | z = t ′, x = (xk, x−k) ] ≤ E [ y (t) | z = t ′, x = (x′k, x−k) ] Manski an... |

48 | Estimates of the Distribution Function of a Sum of Two Random Variables when the Marginal Distributions are Fixed”. Theory of Probability and its Applicatons - Makarov - 1981 |

48 | Bounding Disagreement about Treatment Effects: A Case Study of Sentencing and Recidivism.” Sociological Methodology 28:99137 - Manski, Nagin - 1998 |

46 |
The homevoter hypothesis
- Fischel
- 2001
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Citation Context ...It is well documented that residential property owners (especially single–family homeowners) generally oppose the encroachment of commercial uses and have substantial power to block such development (=-=Fischel 2001-=-). It is likely that the early establishment of commercial activity through zoning will be 27 a more important determinant of future commercial land use in areas also zoned for lower densities. This a... |

35 | Disability and employment: reevaluating the evidence in light of reporting errors. - Kreider, Pepper - 2007 |

34 | How Changes in Financial Incentives Affect the Duration of Unemployment. Review of Economic Studies, forthcoming - Lalive, Ours, et al. - 2006 |

31 | Intersection bounds: estimation and inference. - Chernozhukov, Lee, et al. - 2013 |

27 | Identifying Sorting – - Eeckhout, Kircher - 2011 |

26 | Best-possible bounds for the distribution of a sum - a problem of Kolmogorov[J]. Probability Theory and Related - Frank, Schweizer - 1987 |

25 | Hoynes (2006). What mean impacts miss: Distributional effects of welfare reform experiments - Bitler, Gelbach, et al. |

21 | Heterogeneous impacts in PROGRESA.
- Djebbari, Smith
- 2008
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Citation Context ...ions defined by observable covariates. Many recent experimental studies have discussed the importance of treatment effect heterogeneity between subgroups (Bitler, Gelbach and Hoynes 2006, 2008, 2014, =-=Djebbari and Smith 2008-=-, Feller and Holmes 2009). I show how qualitative information about such treatment effect heterogeneity leads naturally to supermodular instrumental variables, which can help narrow the bounds on aver... |

17 | The identification power of equilibrium in simple games. - Aradillas-Lopez, Tamer - 2008 |

17 | Treatment Effect Bounds Under Monotonicity Assumptions: An Application to Swan-Ganz Catheterization,” American Economic Review, Papers and Proceedings, - Bhattacharya, Shaikh, et al. - 2008 |

13 | 2008): “Bounds on Functionals of the Distribution of Treatment Effects”. Working paper - Firpo, Ridder |

12 | The impact of the National School Lunch Program on child health: a nonparametric bounds analysis - Gundersen, Kreider, et al. |

11 | 2010): “Sharp Bounds on the Distribution of Treatment Effects and Their Statistical Inference”. Econometric Theory - Fan, Park |

9 | The connection between varying treatment effects and the crisis of unreplicable research: A Bayesian perspective. - Gelman - 2015 |

9 | Partially Identifying Treatment Effects with an Application to Covering the Uninsured,” - Kreider, Hill - 2008 |

9 | Comuting best-possible bounds for the distribution of a sum of several variables is np-hard - Kreinovich, Ferson |

6 | Nonparametric analysis of cost complementarities in the telecommunications industry - Beresteanu - 2005 |

5 | Beyond top-lines: Heterogeneous treatment effects in randomized experiments. Unpublished manuscript
- Feller, Holmes
- 2009
(Show Context)
Citation Context ...e covariates. Many recent experimental studies have discussed the importance of treatment effect heterogeneity between subgroups (Bitler, Gelbach and Hoynes 2006, 2008, 2014, Djebbari and Smith 2008, =-=Feller and Holmes 2009-=-). I show how qualitative information about such treatment effect heterogeneity leads naturally to supermodular instrumental variables, which can help narrow the bounds on average treatment effects in... |

4 |
A Markov chain model of zoning change
- McMillen, McDonald
- 1991
(Show Context)
Citation Context ... densities. This assumption is also consistent with previous literature showing that mixed use areas are more likely to see conversion to completely non–residential use than strictly residential use (=-=McMillen and McDonald 1991-=-). This motivates the assumption that y exhibits SBM on T . One may also expect commercial zoning to have more persistent effects when it does not conflict with the existing land use pattern. The data... |

4 | Does a higher minimum wage enhance the effectiveness of the Earned Income Tax Credit - Neumark, Wascher - 2011 |

2 | Non-parametric bounds on quantiles under monotonicity assumptions: With an application to the Italian education returns - Giustinelli - 2011 |

2 | 2008): "The Identification Power of Equilibrium in Games: The Supermodular Case - Molinari, Rosen |

1 | Edward Vytlacil (2012). Treatment effect bounds: An application to Swan–Ganz catheterization - Bhattacharya, Shaikh |

1 | Multi–valued treatment effects - Cattaneo - 2010 |

1 | Geert Ridder (2014). Complementarity and aggregate implications of assortative matching: A nonparametric analysis - Graham, Imbens |

1 | Treatment response with social interactions: Partial identification via monotone comparative statics. Unpublished manuscript - Lazzati - 2014 |

1 |
Zoning and urban persistence. Unpublished manuscript
- Shertzer, Twinam, et al.
- 2014
(Show Context)
Citation Context ...ies) and 2 if it was zoned for higher density development (8–10 stories). Areas zoned for lower densities will be more residential in character and contain a larger proportion of single–family homes (=-=Shertzer et al. 2014-=-). It is well documented that residential property owners (especially single–family homeowners) generally oppose the encroachment of commercial uses and have substantial power to block such developmen... |

1 | Emiko Usui (2014). Concave–monotone treatment response and monotone treatment selection: With an application to the returns to schooling - Tsunao |