Nothing Special   »   [go: up one dir, main page]
create a website
An introduction to flexible methods for policy evaluation. (2019). Huber, Martin.
In: Papers.
RePEc:arx:papers:1910.00641.

Full description at Econpapers || Download paper

Cited: 4

Citations received by this document

Cites: 182

References cited by this document

Cocites: 50

Documents which have cited the same bibliography

Coauthors: 0

Authors who have wrote about the same topic

Citations

Citations received by this document

  1. Measuring stability and structural breaks: Applications in social sciences. (2023). Loginova, Daria ; Mann, Stefan.
    In: Journal of Economic Surveys.
    RePEc:bla:jecsur:v:37:y:2023:i:2:p:302-320.

    Full description at Econpapers || Download paper

  2. Do soda taxes affect the consumption and health of school-aged children? Evidence from France and Hungary. (2021). Gangl, Selina.
    In: Papers.
    RePEc:arx:papers:2111.14521.

    Full description at Econpapers || Download paper

  3. Do soda taxes affect the consumption and health of school-aged children? Evidence from France and Hungary. (2020). Gangl, Selina.
    In: VfS Annual Conference 2020 (Virtual Conference): Gender Economics.
    RePEc:zbw:vfsc20:224577.

    Full description at Econpapers || Download paper

  4. An introduction to flexible methods for policy evaluation. (2019). Huber, Martin.
    In: FSES Working Papers.
    RePEc:fri:fribow:fribow00504.

    Full description at Econpapers || Download paper

References

References cited by this document

  1. Abadie, A. (2003), ‘Semiparametric instrumental variable estimation of treatment response models’, Journal of Econometrics 113, 231–263.

  2. Abadie, A. (2005), ‘Semiparametric difference-in-differences estimators’, Review of Economic Studies 72, 1–19.
    Paper not yet in RePEc: Add citation now
  3. Abadie, A. and Cattaneo, M. D. (2018), ‘Econometric methods for program evaluation’, Annual Review of Economics 10, 465–503.
    Paper not yet in RePEc: Add citation now

  4. Abadie, A. and Gardeazabal, J. (2003), ‘The economic costs of conflict: A case study of the basque country’, The American Economic Review 93, 113–132.

  5. Abadie, A. and Imbens, G. W. (2006), ‘Large sample properties of matching estimators for average treatment effects’, Econometrica 74, 235–267.
    Paper not yet in RePEc: Add citation now
  6. Abadie, A. and Imbens, G. W. (2008), ‘On the failure of the bootstrap for matching estimators’, Econometrica 76, 1537–1557.
    Paper not yet in RePEc: Add citation now
  7. Abadie, A. and Imbens, G. W. (2011), ‘Bias-corrected matching estimators for average treatment effects’, Journal of Business & Economic Statistics 29, 1–11.
    Paper not yet in RePEc: Add citation now
  8. Abadie, A. and Imbens, G. W. (2016), ‘Matching on the estimated propensity score’, Econometrica 84, 781–807.
    Paper not yet in RePEc: Add citation now

  9. Abadie, A., Angrist, J. and Imbens, G. W. (2002), ‘Instrumental variables estimates of the effect of subsidized training on the quantiles of trainee earnings’, Econometrica 70, 91 – 117.

  10. Abadie, A., Diamond, A. and Hainmueller, J. (2010), ‘Synthetic control methods for comparative case studies: Estimating the effect of california’s tobacco control program’, Journal of the American Statistical Association 105, 493–505.

  11. Abraham, S. and Sun, L. (2018), ‘Estimating dynamic treatment effects in event studies with heterogeneous treatment effects’, working paper, Massachusetts Institute of Technology .

  12. Angrist, J. and Fernández-Val, I. (2010), ‘Extrapolate-ing: External validity and overidentification in the late framework’, NBER working paper 16566 .
    Paper not yet in RePEc: Add citation now
  13. Angrist, J. and Imbens, G. W. (1995), ‘Two-stage least squares estimation of average causal effects in models with variable treatment intensity’, Journal of American Statistical Association 90, 431–442.
    Paper not yet in RePEc: Add citation now
  14. Angrist, J. D. (2004), ‘Treatment effect heterogeneity in theory and practice’, The Economic Journal 114, C52– C83.
    Paper not yet in RePEc: Add citation now

  15. Angrist, J. D. and Rokkanen, M. (2015), ‘Wanna get away? regression discontinuity estimation of exam school effects away from the cutoff’, Journal of the American Statistical Association 110, 1331–1344.

  16. Angrist, J., Imbens, G. and Rubin, D. (1996), ‘Identification of causal effects using instrumental variables’, Journal of American Statistical Association 91, 444–472 (with discussion).
    Paper not yet in RePEc: Add citation now
  17. Arkhangelsky, D., Athey, S., Hirshberg, D. A. and Wager, G. W. I. S. (2019), ‘Synthetic difference in differences’, working paper, Stanford University .
    Paper not yet in RePEc: Add citation now
  18. Armstrong, T. B. and Kolesár, M. (2018), ‘Optimal inference in a class of regression models’, Econometrica 86(2), 655–683.
    Paper not yet in RePEc: Add citation now

  19. Aronow, P. M. and Carnegie, A. (2013), ‘Beyond late: Estimation of the average treatment effect with an instrumental variable’, Political Analysis 21, 492–506.

  20. Athey, S. and Imbens, G. (2006), ‘Identification and inference in nonlinear difference-in-differences models’, Econometrica 74, 431–497.
    Paper not yet in RePEc: Add citation now
  21. Athey, S. and Imbens, G. (2016), ‘Recursive partitioning for heterogeneous causal effects’, Proceedings of the National Academy of Sciences 113, 7353–7360.
    Paper not yet in RePEc: Add citation now

  22. Athey, S. and Imbens, G. (2018), ‘Design-based analysis in difference-in-differences settings with staggered adoption ’, working paper, Stanford University .

  23. Athey, S. and Imbens, G. W. (2019), ‘Machine learning methods that economists should know about’, Annual Review of Economics 11.

  24. Athey, S. and Wager, S. (2018), ‘Efficient policy learning’, working paper, Stanford University .
    Paper not yet in RePEc: Add citation now

  25. Athey, S., Imbens, G. W. and Wager, S. (2018), ‘Approximate residual balancing: debiased inference of average treatment effects in high dimensions’, Journal of the Royal Statistical Society Series B 80, 597–623.

  26. Athey, S., Tibshirani, J. and Wager, S. (2019), ‘Generalized random forests’, The Annals of Statistics 47, 1148– 1178.
    Paper not yet in RePEc: Add citation now

  27. Belloni, A., Chernozhukov, V. and Hansen, C. (2014), ‘Inference on treatment effects after selection among highdimensional controls’, The Review of Economic Studies 81, 608–650.

  28. Belloni, A., Chernozhukov, V., Fernández-Val, I. and Hansen, C. (2017), ‘Program evaluation and causal inference with high-dimensional data’, Econometrica 85, 233–298.

  29. Bertanha, M. and Imbens, G. W. (2019), ‘External validity in fuzzy regression discontinuity designs’, forthcoming in the Journal of Business & Economic Statistics .

  30. Bertrand, M., Duflo, E. and Mullainathan, S. (2004), ‘How much should we trust differences-in-differences estimates ?’, Quarterly Journal of Economics 119, 249–275.

  31. Bhattacharya, D. and Dupas, P. (2012), ‘Inferring welfare maximizing treatment assignment under budget constraints ’, Journal of Econometrics 167, 168–196.

  32. Black, D. A., Joo, J., LaLonde, R. J., Smith, J. A. and Taylor, E. J. (2015), ‘Simple tests for selection bias: Learning more from instrumental variables’, IZA Discussion Paper No 9346 .

  33. Borusyak, K. and Jaravel, X. (2018), ‘Revisiting event study designs’, working paper, Harvard University .
    Paper not yet in RePEc: Add citation now
  34. Breiman, L. (2001), ‘Random forests’, Machine Learning 45, 5–32.
    Paper not yet in RePEc: Add citation now
  35. Breiman, L., Friedman, J., Olshen, R. and Stone, C. (1984), Classification and Regression Trees, Wadsworth, Belmont, California.
    Paper not yet in RePEc: Add citation now
  36. Busso, M., DiNardo, J. and McCrary, J. (2014), ‘New evidence on the finite sample properties of propensity score matching and reweighting estimators’, Review of Economics and Statistics 96, 885–897.
    Paper not yet in RePEc: Add citation now

  37. Callaway, B. and Sant’Anna, P. H. C. (2018), ‘Difference-in-differences with multiple time periods and an application on the minimum wage and employment’, working paper, Vanderbilt University .

  38. Calonico, S., Cattaneo, M. D. and Titiunik, R. (2014), ‘Robust nonparametric confidence intervals for regressiondiscontinuity designs’, Econometrica 82, 2295–2326.
    Paper not yet in RePEc: Add citation now
  39. Calonico, S., Cattaneo, M. D., Farrell, M. H. and Titiunik, R. (2018), ‘Regression discontinuity designs using covariates’, forthcoming in the Review of Economics and Statistics .
    Paper not yet in RePEc: Add citation now
  40. Cameron, A. C., Gelbach, J. B. and Miller, D. L. (2008), ‘Bootstrap-based improvements for inference with clustered errors’, Review of Economics and Statistics 90, 414–427.
    Paper not yet in RePEc: Add citation now
  41. Card, D. (1995), Using geographic variation in college proximity to estimate the return to schooling, in L. Christofides, E. Grant and R. Swidinsky, eds, ‘Aspects of Labor Market Behaviour: Essays in Honour of John Vanderkamp’, University of Toronto Press, Toronto, pp. 201–222.
    Paper not yet in RePEc: Add citation now

  42. Card, D. and Krueger, A. B. (1994), ‘Minimum wages and employment: A case study of the fast-food industry in new jersey and pennsylvania’, The American Economic Review 84, 772–793.

  43. Card, D., Lee, D. S., Pei, Z. and Weber, A. (2015), ‘Inference on causal effects in a generalized regression kink design’, Econometrica 83, 2453–2483.

  44. Cattaneo, M. D. (2010), ‘Efficient semiparametric estimation of multi-valued treatment effects under ignorability’, Journal of Econometrics 155, 138 – 154.

  45. Cattaneo, M. D., Frandsen, B. R. and Titiunik, R. (2015), ‘Randomization inference in the regression discontinuity design: An application to party advantages in the u.s. senate’, Journal of Causal Inference 3.
    Paper not yet in RePEc: Add citation now
  46. Cattaneo, M. D., Keele, L., Titiunik, R. and Vazquez-Bare, G. (2016), ‘Interpreting regression discontinuity designs with multiple cutoffs’, The Journal of Politics 78, 1229–1248.
    Paper not yet in RePEc: Add citation now
  47. Cattaneo, M. D., Keele, L., Titiunik, R. and Vazquez-Bare, G. (2019), ‘Extrapolating treatment effects in multicutoff regression discontinuity designs’, working paper, University of Michigan .
    Paper not yet in RePEc: Add citation now
  48. Chabé-Ferret, S. (2017), ‘Should we combine difference in differences with conditioning on pre-treatment outcomes ’, working paper, Toulouse School of Economics .
    Paper not yet in RePEc: Add citation now
  49. Chen, X., Hong, H. and Tarozzi, A. (2008), ‘Semiparametric efficiency in gmm models with auxiliary data’, The Annals of Statistics 36, 808–843.
    Paper not yet in RePEc: Add citation now

  50. Chernozhukov, V., Chetverikov, D., Demirer, M., Duflo, E., Hansen, C., Newey, W. and Robins, J. (2018), ‘Double /debiased machine learning for treatment and structural parameters’, The Econometrics Journal 21, C1– C68.

  51. Chernozhukov, V., Fernández-Val, I. and Melly, B. (2013), ‘Inference on counterfactual distributions’, Econometrica 81, 2205–2268.
    Paper not yet in RePEc: Add citation now

  52. Conley, T. and Taber, C. (2011), ‘Inference with “difference in differences” with a small number of policy changes’, Review of Economics and Statistics 93, 113–125.

  53. Crump, R., Hotz, J., Imbens, G. and Mitnik, O. (2009), ‘Dealing with limited overlap in estimation of average treatment effects’, Biometrika 96, 187–199.

  54. de Chaisemartin, C. (2017), ‘Tolerating defiance? local average treatment effects without monotonicity’, Quantitative Economics 8, 367–396.
    Paper not yet in RePEc: Add citation now
  55. de Chaisemartin, C. and D’Haultfeuille, X. (2018), ‘Fuzzy differences-in-differences’, Review of Economic Studies 85, 999–1028.
    Paper not yet in RePEc: Add citation now
  56. de Chaisemartin, C. and D’Haultfeuille, X. (2019), ‘Two-way fixed effects estimators with heterogeneoustreatment effects’, working paper ,University of California at Santa Barbara .
    Paper not yet in RePEc: Add citation now
  57. de Luna, X. and Johansson, P. (2014), ‘Testing for the unconfoundedness assumption using an instrumental assumption’, Journal of Causal Inference 2, 187–199.
    Paper not yet in RePEc: Add citation now
  58. Deaton, A. S. (2010), ‘Instruments, randomization, and learning about development’, Journal of Economic Literature 48, 424–455.
    Paper not yet in RePEc: Add citation now
  59. Dehejia, R. H. and Wahba, S. (1999), ‘Causal effects in non-experimental studies: Reevaluating the evaluation of training programmes’, Journal of American Statistical Association 94, 1053–1062.
    Paper not yet in RePEc: Add citation now

  60. Diamond, A. and Sekhon, J. S. (2013), ‘Genetic matching for estimating causal effects: A general multivariate matching method for achieving balance in observational studies’, Review of Economics and Statistics 95, 932– 945.

  61. DiNardo, J. E., Fortin, N. M. and Lemieux, T. (1996), ‘Labor Market Institutions and the Distribution of Wages, 1973-1992: A Semiparametric Approach’, Econometrica 64, 1001–1044.

  62. Donald, S. and Lang, K. (2007), ‘Inference with difference-in-differences and other panel data’, Review of Economics and Statistics 89, 221–233.
    Paper not yet in RePEc: Add citation now

  63. Donald, S. G. and Hsu, Y. C. (2014), ‘Estimation and inference for distribution functions and quantile functions in treatment effect models’, Journal of Econometrics 178, 383–397.

  64. Donald, S. G., Hsu, Y.-C. and Lieli, R. P. (2014a), ‘Inverse probability weighted estimation of local average treatment effects: A higher order mse expansion’, Statistics and Probability Letters 95, 132–138.

  65. Donald, S. G., Hsu, Y.-C. and Lieli, R. P. (2014b), ‘Testing the unconfoundedness assumption via inverse probability weighted estimators of (L)ATT’, Journal of Business & Economic Statistics 32, 395–415.

  66. Dong, Y. (2014), ‘Jumpy or kinky? regression discontinuity without the discontinuity’, working Paper, University of Califronia Irvine .
    Paper not yet in RePEc: Add citation now
  67. Dong, Y. (2015), ‘Regression discontinuity applications with rounding errors in the running variable’, Journal of Applied Econometrics 30, 422–446.
    Paper not yet in RePEc: Add citation now

  68. Dong, Y. and Lewbel, A. (2015), ‘Identifying the effect of changing the policy threshold in regression discontinuity models’, Review of Economics and Statistics 97, 1081–1092.

  69. Dudı́k, M., Langford, J. and Li, L. (2011), ‘Doubly robust policy evaluation and learning’, Procceedings of the 28th International Conference on Machine Learning pp. 1097–1104.
    Paper not yet in RePEc: Add citation now

  70. Farrell, M. H. (2015), ‘Robust inference on average treatment effects with possibly more covariates than observations ’, Journal of Econometrics 189, 1–23.

  71. Farrell, M. H., Liang, T. and Misra, S. (2018), ‘Deep neural networks for estimation and inference: Application to causal effects and other semiparametric estimands’, working paper, University of Chicago .
    Paper not yet in RePEc: Add citation now

  72. Ferman, B. and Pinto, C. (2019), ‘Inference in differences-in-differences with few treated groups and heteroskedasticity ’, The Review of Economics and Statistics 101, 452–467.

  73. Firpo, S. (2007), ‘Efficient Semiparametric Estimation of Quantile Treatment Effects’, Econometrica 75, 259–276.
    Paper not yet in RePEc: Add citation now

  74. Flores, C. A. (2007), ‘Estimation of dose-response functions and optimal doses with a continuous treatment’, working paper, University of California, Berkeley. . Flores, C. A., Flores-Lagunes, A., Gonzalez, A. and Neumann, T. C. (2012), ‘Estimating the effects of length of exposure to instruction in a training program: the case of job corps’, The Review of Economics and Statistics 94, 153–171.

  75. Frandsen, B. R., Frölich, M. and Melly, B. (2012), ‘Quantile treatment effects in the regression discontinuity design’, Journal of Econometrics 168.
    Paper not yet in RePEc: Add citation now
  76. Frölich, M. (2004), ‘Finite sample properties of propensity-score matching and weighting estimators’, The Review of Economics and Statistics 86, 77–90.
    Paper not yet in RePEc: Add citation now
  77. Frölich, M. (2005), ‘Matching estimators and optimal bandwidth choice’, Statistics and Computing 15, 197–215.
    Paper not yet in RePEc: Add citation now
  78. Frölich, M. (2007), ‘Nonparametric iv estimation of local average treatment effects with covariates’, Journal of Econometrics 139, 35–75.
    Paper not yet in RePEc: Add citation now
  79. Frölich, M. and Huber, M. (2018), ‘Including covariates in the regression discontinuity design’, Journal of Business and Economic Statistics .
    Paper not yet in RePEc: Add citation now
  80. Frölich, M. and Melly, B. (2013), ‘Unconditional quantile treatment effects under endogeneity’, Journal of Business & Economic Statistics 31, 346–357.
    Paper not yet in RePEc: Add citation now

  81. Galvao, A. F. and Wang, L. (2015), ‘Uniformly semiparametric efficient estimation of treatment effects with a continuous treatment’, Journal of the American Statistical Association 110, 1528–1542.

  82. Ganong, P. and Jäger, S. (2018), ‘A permutation test for the regression kink design’, Journal of the American Statistical Association 113, 494–504.

  83. Gelman, A. and Imbens, G. (2018), ‘Why high-order polynomials should not be used in regression discontinuity designs’, forthcoming in the Journal of Business & Economic Statistics .
    Paper not yet in RePEc: Add citation now
  84. Goodman-Bacon, A. (2018), ‘Difference-in-differences with variation in treatment timing’, working paper, Vanderbilt University .
    Paper not yet in RePEc: Add citation now

  85. Graham, B., Pinto, C. and Egel, D. (2012), ‘Inverse probability tilting for moment condition models with missing data’, Review of Economic Studies 79, 1053–1079.

  86. Guber, R. (2018), ‘Instrument validity tests with causal trees:with an application to the same-sex instrument’, working paper, Munich Center for the Economics of Aging .

  87. Hahn, J. (1998), ‘On the role of the propensity score in efficient semiparametric estimation of average treatment effects’, Econometrica 66, 315–331.

  88. Hahn, J., Todd, P. and van der Klaauw, W. (2001), ‘Identification and estimation of treatment effects with a regression-discontinuity design’, Econometrica 69, 201–209.
    Paper not yet in RePEc: Add citation now

  89. Hainmueller, J. (2012), ‘Entropy balancing for causal effects: A multivariate reweighting method to produce balanced samples in observational studies’, Political Analysis 20, 25–46.

  90. Heckman, J. J. and Urzúa, S. (2010), ‘Comparing iv with structural models: What simple iv can and cannot identify’, Journal of Econometrics 156, 27–37.

  91. Heckman, J. J. and Vytlacil, E. (2001), Local instrumental variables, in C. Hsiao, K. Morimune and J. Powell, eds, ‘Nonlinear Statistical Inference: Essays in Honor of Takeshi Amemiya’, Cambridge University Press, Cambridge.
    Paper not yet in RePEc: Add citation now

  92. Heckman, J. J. and Vytlacil, E. (2005), ‘Structural equations, treatment effects, and econometric policy evaluation 1’, Econometrica 73, 669–738.

  93. Heckman, J. J., Ichimura, H. and Todd, P. (1998), ‘Matching as an econometric evaluation estimator’, Review of Economic Studies 65, 261–294.
    Paper not yet in RePEc: Add citation now
  94. Heckman, J., Ichimura, H., Smith, J. and Todd, P. (1998), ‘Characterizing selection bias using experimental data’, Econometrica 66, 1017–1098.
    Paper not yet in RePEc: Add citation now
  95. Hirano, K. and Imbens, G. W. (2005), The Propensity Score with Continuous Treatments, Wiley-Blackwell, chapter 7, pp. 73–84.
    Paper not yet in RePEc: Add citation now

  96. Hirano, K. and Porter, J. (2009), ‘Asymptotics for statistical treatment rules’, Econometrica 77, 1683–1701.

  97. Hirano, K., Imbens, G. W. and Ridder, G. (2003), ‘Efficient estimation of average treatment effects using the estimated propensity score’, Econometrica 71, 1161–1189.

  98. Hong, H. and Nekipelov, D. (2010), ‘Semiparametric efficiency in nonlinear late models’, Quantitative Economics 1, 279–304.
    Paper not yet in RePEc: Add citation now

  99. Hong, S.-H. (2013), ‘Measuring the effect of napster on recorded music sales: difference-in-differences estimates under compositional changes’, Journal of Applied Econometrics 28, 297–324.

  100. Horvitz, D. and Thompson, D. (1952), ‘A generalization of sampling without replacement from a finite population’, Journal of American Statistical Association 47, 663–685.
    Paper not yet in RePEc: Add citation now

  101. Huber, M. (2013), ‘A simple test for the ignorability of non-compliance in experiments’, Economics Letters 120, 389–391.

  102. Huber, M. (2014), ‘Identifying causal mechanisms (primarily) based on inverse probability weighting’, Journal of Applied Econometrics 29, 920–943.
    Paper not yet in RePEc: Add citation now
  103. Huber, M. (2019), ‘A review of causal mediation analysis for assessing direct and indirect treatment effects’, SES working paper 500, University of Fribourg .
    Paper not yet in RePEc: Add citation now

  104. Huber, M. and Mellace, G. (2015), ‘Testing instrument validity for late identification based on inequality moment constraints’, Review of Economics and Statistics 97, 398–411.

  105. Huber, M. and Wüthrich, K. (2019), ‘Local average and quantile treatment effects under endogeneity: A review’, Journal of Econometric Methods 8, 1–28.

  106. Huber, M., Lechner, M. and Wunsch, C. (2013), ‘The performance of estimators based on the propensity score’, Journal of Econometrics 175, 1–21.
    Paper not yet in RePEc: Add citation now

  107. Hull, P. (2018), ‘Estimating treatment effects in mover designs’, working paper, University of Chicago .

  108. Ichimura, H. and Linton, O. (2005), Asymptotic expansions for some semiparametric program evaluation estimators, in D. Andrews and J. Stock, eds, ‘Identification and Inference for Econometric Models’, Cambridge University Press, Cambridge, pp. 149–170.
    Paper not yet in RePEc: Add citation now
  109. Imai, K. and Kim, I. S. (2019), ‘On the use of two-way fixed effects regression models for causal inference with panel data’, working paper, Harvard University .
    Paper not yet in RePEc: Add citation now
  110. Imai, K. and Ratkovic, M. (2014), ‘Covariate balancing propensity score’, Journal of the Royal Statistical Society: Series B (Statistical Methodology) 76, 243–263.
    Paper not yet in RePEc: Add citation now
  111. Imai, K. and van Dyk, D. A. (2004), ‘Causal inference with general treatment regimes’, Journal of the American Statistical Association 99, 854–866.
    Paper not yet in RePEc: Add citation now
  112. Imai, K., Keele, L. and Yamamoto, T. (2010), ‘Identification, inference and sensitivity analysis for causal mediation effects’, Statistical Science 25, 51–71.
    Paper not yet in RePEc: Add citation now
  113. Imbens, G. and Kalyanaraman, K. (2012), ‘Optimal bandwidth choice for the regression discontinuity estimator’, The Review of Economic Studies 79, 933–959.
    Paper not yet in RePEc: Add citation now
  114. Imbens, G. W. (2000), ‘The role of the propensity score in estimating dose-response functions’, Biometrika 87, 706– 710.
    Paper not yet in RePEc: Add citation now

  115. Imbens, G. W. (2004), ‘Nonparametric estimation of average treatment effects under exogeneity: A review’, The Review of Economics and Statistics 86, 4–29.

  116. Imbens, G. W. (2010), ‘Better late than nothing: Some comments on Deaton (2009) and Heckman and Urzua (2009)’, Journal of Economic Literature 48, 399–423.

  117. Imbens, G. W. and Angrist, J. (1994), ‘Identification and estimation of local average treatment effects’, Econometrica 62, 467–475.
    Paper not yet in RePEc: Add citation now
  118. Imbens, G. W. and Lemieux, T. (2008), ‘Regression discontinuity designs: A guide to practice’, Journal of Econometrics 142, 615–635.
    Paper not yet in RePEc: Add citation now
  119. Imbens, G. W. and Wager, S. (2019), ‘Optimized regression discontinuity designs’, Review of Economics and Statistics 101, 264–278.
    Paper not yet in RePEc: Add citation now
  120. Imbens, G. W. and Wooldridge, J. M. (2009), ‘Recent developments in the econometrics of program evaluation’, Journal of Economic Literature 47, 5–86.
    Paper not yet in RePEc: Add citation now
  121. Kallus, N. (2017), ‘Balanced policy evaluation and learning’, working paper, Cornell University .
    Paper not yet in RePEc: Add citation now
  122. Keele, L. J. and Titiunik, R. (2015), ‘Geographic boundaries as regression discontinuities’, Political Analysis 23, 127–155.
    Paper not yet in RePEc: Add citation now

  123. Kennedy, E. H., Ma, Z., McHugh, M. D. and Small, D. S. (2017), ‘Non-parametric methods for doubly robust estimation of continuous treatment effects’, Journal of the Royal Statistical Society Series B 79, 1229–1245.

  124. Khan, S. and Tamer, E. (2010), ‘Irregular identification, support conditions, and inverse weight estimation’, Econometrica 78, 2021–2042.

  125. Kitagawa, T. (2015), ‘A test for instrument validity’, Econometrica 83, 2043–2063.

  126. Kitagawa, T. and Tetenov, A. (2018), ‘Who should be treated? empirical welfare maximization methods for treatment choice’, Econometrica 86, 591–616.

  127. Knaus, M., Lechner, M. and Strittmatter, A. (2018), ‘Machine learning estimation of heterogeneous causal effects: Empirical monte carlo evidence’, working paper, University of St. Gallen .

  128. Kolesár, M. and Rothe, C. (2018), ‘Inference in a regression discontinuity design with a discrete running variable’, American Economic Review 108, 2277–2304.

  129. Lalive, R. (2008), ‘How do extended benefits affect unemployment duration? a regression discontinuity approach’, Journal of Econometrics 142, 785 – 806.

  130. Landais, C. (2015), ‘Assessing the welfare effects of unemployment benefits using the regression kink design’, American Economic Journal: Economic Policy 7, 243–278.

  131. Lechner, M. (2001), Identification and estimation of causal effects of multiple treatments under the conditional independence assumption, in M. Lechner and F. Pfeiffer, eds, ‘Econometric Evaluations of Active Labor Market Policies in Europe’, Heidelberg: Physica.
    Paper not yet in RePEc: Add citation now

  132. Lechner, M. (2009), ‘Sequential causal models for the evaluation of labor market programs’, Journal of Business and Economic Statistics 27, 71–83.

  133. Lechner, M. (2010), ‘The estimation of causal effects by difference-in-difference methods’, Foundations and Trends in Econometrics 4, 165–224.
    Paper not yet in RePEc: Add citation now

  134. Lechner, M. and Strittmatter, A. (2019), ‘Practical procedures to deal with common support problems in matching estimation’, Econometric Reviews 38, 193–207.

  135. Lechner, M., Miquel, R. and Wunsch, C. (2011), ‘Long-run effects of public sector sponsored training in west germany’, Journal of the European Economic Association 9, 742–784.
    Paper not yet in RePEc: Add citation now

  136. Lee, D. (2008), ‘Randomized experiments from non-random selection in u.s. house elections’, Journal of Econometrics 142, 675–697.

  137. Lee, D. and Card, D. (2008), ‘Regression discontinuity inference with specification error’, Journal of Econometrics 142, 655–674.
    Paper not yet in RePEc: Add citation now
  138. Lee, D. and Lemieux, T. (2010), ‘Regression discontinuity designs in economics’, Journal of Economic Literature 48, 281–355.
    Paper not yet in RePEc: Add citation now

  139. Li, Q., Racine, J. and Wooldridge, J. (2009), ‘Efficient estimation of average treatment effects with mixed categorical and continuous data’, Journal of Business and Economics Statistics 27, 206–223.

  140. Manski, C. F. (2004), ‘Statistical treatment rules for heterogeneous populations’, Econometrica 72, 1221–1246.
    Paper not yet in RePEc: Add citation now

  141. McCrary, J. (2008), ‘Manipulation of the running variable in the regression discontinuity design: A density test’, Journal of Econometrics 142, 698–714.

  142. Mourifié, I. and Wan, Y. (2017), ‘Testing late assumptions’, The Review of Economics and Statistics 99, 305–313.
    Paper not yet in RePEc: Add citation now

  143. Papay, J. P., Willett, J. B. and Murnane, R. J. (2011), ‘Extending the regression-discontinuity approach to multiple assignment variables’, Journal of Econometrics 161, 203–207.

  144. Pearl, J. (2001), Direct and indirect effects, in ‘Proceedings of the Seventeenth Conference on Uncertainty in Artificial Intelligence’, Morgan Kaufman, San Francisco, pp. 411–420.
    Paper not yet in RePEc: Add citation now
  145. Porter, J. (2003), Estimation in the regression discontinuity model. mimeo.
    Paper not yet in RePEc: Add citation now
  146. Powers, S., Qian, J., Jung, K., Schuler, A., Shah, N. H., Hastie, T. and Tibshirani, R. (2018), ‘Some methods for heterogeneous treatment effect estimation in high dimensions’, Statistics in Medicine 37, 1767–1787.
    Paper not yet in RePEc: Add citation now
  147. Qian, M. and Murphy, S. A. (2011), ‘Performance guarantees for individualized treatment rules’, Annals of Statistics 39, 1180–1210.
    Paper not yet in RePEc: Add citation now
  148. Robins, J. M. (1986), ‘A new approach to causal inference in mortality studies with sustained exposure periods -application to control of the healthy worker survivor effect’, Mathematical Modelling 7, 1393–1512.
    Paper not yet in RePEc: Add citation now
  149. Robins, J. M. and Greenland, S. (1992), ‘Identifiability and exchangeability for direct and indirect effects’, Epidemiology 3, 143–155.
    Paper not yet in RePEc: Add citation now
  150. Robins, J. M. and Rotnitzky, A. (1995), ‘Semiparametric efficiency in multivariate regression models with missing data’, Journal of the American Statistical Association 90, 122–129.
    Paper not yet in RePEc: Add citation now
  151. Robins, J. M., Hernan, M. A. and Brumback, B. (2000), ‘Marginal structural models and causal inference in epidemiology’, Epidemiology 11, 550–560.
    Paper not yet in RePEc: Add citation now
  152. Robins, J. M., Mark, S. D. and Newey, W. K. (1992), ‘Estimating exposure effects by modelling the expectation of exposure conditional on confounders’, Biometrics 48, 479–495.
    Paper not yet in RePEc: Add citation now
  153. Robins, J. M., Rotnitzky, A. and Zhao, L. (1994), ‘Estimation of regression coefficients when some regressors are not always observed’, Journal of the American Statistical Association 90, 846–866.
    Paper not yet in RePEc: Add citation now
  154. Robins, J. M., Rotnitzky, A. and Zhao, L. (1995), ‘Analysis of semiparametric regression models for repeated outcomes in the presence of missing data’, Journal of the American Statistical Association 90, 106–121.
    Paper not yet in RePEc: Add citation now
  155. Rosenbaum, P. R. and Rubin, D. B. (1983), ‘The central role of the propensity score in observational studies for causal effects’, Biometrika 70, 41–55.
    Paper not yet in RePEc: Add citation now
  156. Rosenbaum, P. R. and Rubin, D. B. (1985), ‘Constructing a control group using multivariate matched sampling methods that incorporate the propensity score.’, The American Statistician 39, 33–38.
    Paper not yet in RePEc: Add citation now
  157. Rothe, C. and Firpo, S. (2013), ‘Semiparametric estimation and inference using doubly robust moment conditions’, IZA Discussion Paper No. 7564 .
    Paper not yet in RePEc: Add citation now
  158. Roy, A. (1951), ‘Some thoughts on the distribution of earnings’, Oxford Economic Papers 3, 135–146.
    Paper not yet in RePEc: Add citation now
  159. Rubin, D. B. (1974), ‘Estimating causal effects of treatments in randomized and nonrandomized studies’, Journal of Educational Psychology 66, 688–701.
    Paper not yet in RePEc: Add citation now
  160. Rubin, D. B. (1979), ‘Using multivariate matched sampling and regression adjustment to control bias in observational studies’, Journal of the American Statistical Association 74, 318–328.
    Paper not yet in RePEc: Add citation now
  161. Rubin, D. B. (1990), ‘Formal mode of statistical inference for causal effects’, Journal of Statistical Planning and Inference 25, 279–292.
    Paper not yet in RePEc: Add citation now
  162. Sant’Anna, P. H. C. and Zhao, J. B. (2018), ‘Doubly robust difference-in-differences estimators’, working paper, Vanderbilt University .
    Paper not yet in RePEc: Add citation now
  163. Sharma, A. (2016), ‘Necessary and probably sufficient test for finding valid instrumental variables’, working paper, Microsoft Research, New York .
    Paper not yet in RePEc: Add citation now

  164. Sianesi, B. (2004), ‘An evaluation of the swedish system of active labor market programs in the 1990s’, The Review of Economics and Statistics 86, 133–155.

  165. Simonsen, M., Skipper, L. and Skipper, N. (2016), ‘Price sensitivity of demand for prescription drugs: Exploiting a regression kink design’, Journal of Applied Econometrics 31, 320–337.
    Paper not yet in RePEc: Add citation now
  166. Smith, J. and Todd, P. (2005), ‘Rejoinder’, Journal of Econometrics 125, 365–375.
    Paper not yet in RePEc: Add citation now

  167. Stoye, J. (2009), ‘Minimax regret treatment choice with finite samples’, Journal of Econometrics 151, 70–81.

  168. Strezhnev, A. (2018), ‘Semiparametric weighting estimators for multi-period difference-in-differences designs’, working paper, University of Pennsylvania .
    Paper not yet in RePEc: Add citation now

  169. Tan, Z. (2006), ‘Regression and weighting methods for causal inference using instrumental variables’, Journal of the American Statistical Association 101, 1607–1618.

  170. Tchetgen Tchetgen, E. J. and Shpitser, I. (2012), ‘Semiparametric theory for causal mediation analysis: Efficiency bounds, multiple robustness, and sensitivity analysis’, The Annals of Statistics 40, 1816–1845.
    Paper not yet in RePEc: Add citation now
  171. Thistlethwaite, D. and Campbell, D. (1960), ‘Regression-discontinuity analysis: An alternative to the ex post facto experiment’, Journal of Educational Psychology 51, 309–317.
    Paper not yet in RePEc: Add citation now
  172. Tibshirani, R. (1996), ‘Regresson shrinkage and selection via the lasso’, Journal of the Royal Statistical Society 58, 267–288.
    Paper not yet in RePEc: Add citation now
  173. Uysal, S. D. (2011), ‘Doubly robust iv estimation of the local average treatment effects’, mimeo, University of Konstanz .
    Paper not yet in RePEc: Add citation now
  174. van der Laan, M. and Rubin, D. (2006), ‘Targeted maximum likelihood learning’, The International Journal of Biostatistics 2, 1–38.
    Paper not yet in RePEc: Add citation now
  175. Waernbaum, I. (2012), ‘Model misspecification and robustness in causal inference: comparing matching with doubly robust estimation’, Statistics in Medicine 31, 1572–1581.
    Paper not yet in RePEc: Add citation now
  176. Wager, S. and Athey, S. (2018), ‘Estimation and inference of heterogeneous treatment effects using random forests’, Journal of the American Statistical Association 113, 1228–1242.
    Paper not yet in RePEc: Add citation now
  177. Zhang, B., Tsiatis, A. A., Davidian, M., Zhang, M. and Laber, E. (2012), ‘Estimating optimal treatment regimes from a classification perspective’, Stat 1, 103–114.
    Paper not yet in RePEc: Add citation now

  178. Zhao, Z. (2004), ‘Using matching to estimate treatment effects: Data requirements, matching metrics, and monte carlo evidence’, Review of Economics and Statistics 86, 91–107.

  179. Zhou, X., Mayer-Hamblett, N., Khan, U. and Kosorok, M. R. (2017), ‘Residual weighted learning forestimating individualized treatment rules’, Journal of the American Statistical Association 112, 169–187.
    Paper not yet in RePEc: Add citation now

  180. Zhou, Z., Athey, S. and Wager, S. (2018), ‘Offline multi-action policy learning: Generalization and optimization’, working paper, Stanford University .

  181. Zimmert, M. (2018), ‘Efficient difference-in-differences estimation with high-dimensional common trend confounding ’, working paper, University of St. Gallen .
    Paper not yet in RePEc: Add citation now

  182. Zubizarreta, J. R. (2015), ‘Stable weights that balance covariates for estimation with incomplete outcome data’, Journal of the American Statistical Association 110, 910–922.

Cocites

Documents in RePEc which have cited the same bibliography

  1. College as a Marriage Market. (2021). Mogstad, Magne ; Leuven, Edwin ; Kirkebøen, Lars ; Kirkeboen, Lars.
    In: IZA Discussion Papers.
    RePEc:iza:izadps:dp14264.

    Full description at Econpapers || Download paper

  2. Global Representation of LATE Model: A Separability Result. (2020). Xie, Haitian ; Chen, Yu-Chang.
    In: Papers.
    RePEc:arx:papers:2007.08106.

    Full description at Econpapers || Download paper

  3. Efficient Covariate Balancing for the Local Average Treatment Effect. (2020). Heiler, Phillip.
    In: Papers.
    RePEc:arx:papers:2007.04346.

    Full description at Econpapers || Download paper

  4. Quantile treatment effects of Riester participation on wealth. (2017). Ihle, Dorothee.
    In: CAWM Discussion Papers.
    RePEc:zbw:cawmdp:96.

    Full description at Econpapers || Download paper

  5. Smoothing or strengthening the ‘Great Gatsby Curve’? The intergenerational impact of China’s New Rural Pension Scheme. (2017). You, Jing ; Niño-Zarazúa, Miguel ; Nio-Zarazua, Miguel.
    In: WIDER Working Paper Series.
    RePEc:unu:wpaper:wp2017-199.

    Full description at Econpapers || Download paper

  6. How Physicians Affect Patients’ Employment Outcomes Through Deciding on Sick Leave Durations. (2016). Ahammer, Alexander.
    In: Economics working papers.
    RePEc:jku:econwp:2016_05.

    Full description at Econpapers || Download paper

  7. The Effect of Industrial Cluster Policy on Firm Performance in Ethiopia: Evidence from the Leather Footware Cluster. (2016). Getahun, Tigabu Degu .
    In: Discussion Papers.
    RePEc:ags:ubzefd:229713.

    Full description at Econpapers || Download paper

  8. Granting Birthright Citizenship – A Door Opener for Immigrant Childrens Educational Participation and Success?. (2015). Felfe, Christina ; Saurer, Judith.
    In: ifo Working Paper Series.
    RePEc:ces:ifowps:_208.

    Full description at Econpapers || Download paper

  9. Wanna Get Away? RD Identification Away from the Cutoff. (2013). Rokkanen, Miikka ; Angrist, Joshua.
    In: IZA Discussion Papers.
    RePEc:iza:izadps:dp7429.

    Full description at Econpapers || Download paper

  10. Testing for Nonparametric Identification of Causal Effects in the Presence of a Quasi-Instrument. (2012). Johansson, Per ; de Luna, Xavier.
    In: IZA Discussion Papers.
    RePEc:iza:izadps:dp6692.

    Full description at Econpapers || Download paper

  11. Testing for nonparametric identification of causal effects in the presence of a quasi-instrument. (2012). Johansson, Per ; de Luna, Xavier.
    In: Working Paper Series.
    RePEc:hhs:ifauwp:2012_014.

    Full description at Econpapers || Download paper

  12. Informal adult care and caregivers employment in Europe. (2012). Ciani, Emanuele.
    In: Labour Economics.
    RePEc:eee:labeco:v:19:y:2012:i:2:p:155-164.

    Full description at Econpapers || Download paper

  13. Self-Disconnection Among Pre-Payment Customers - A Behavioural Analysis. (2012). Brutscher, P..
    In: Cambridge Working Papers in Economics.
    RePEc:cam:camdae:1214.

    Full description at Econpapers || Download paper

  14. Making Sense of Oil Stamp Saving Schemes. (2012). Brutscher, P-B., .
    In: Cambridge Working Papers in Economics.
    RePEc:cam:camdae:1203.

    Full description at Econpapers || Download paper

  15. Explaining Charter School Effectiveness. (2011). Pathak, Parag ; Angrist, Joshua ; Walters, Christopher R..
    In: NBER Working Papers.
    RePEc:nbr:nberwo:17332.

    Full description at Econpapers || Download paper

  16. Assessing the impact of improved agricultural technologies on household income in rural Mozambique. (2011). Cunguara, Benedito ; Darnhofer, Ika .
    In: Food Policy.
    RePEc:eee:jfpoli:v:36:y:2011:i:3:p:378-390.

    Full description at Econpapers || Download paper

  17. Fatal Attraction? Access to Early Retirement and Mortality. (2010). Zweimüller, Josef ; Wuellrich, Jean-Philippe ; Kuhn, Andreas ; Zweimuller, Josef.
    In: CEPR Discussion Papers.
    RePEc:cpr:ceprdp:8024.

    Full description at Econpapers || Download paper

  18. Inverse Propensity Score Weighted Estimation of Local Average Treatment Effects and a Test of the Unconfoundedness Assumption. (2010). Lieli, Robert ; Hsu, Yu-Chin ; Donald, Stephen G..
    In: CEU Working Papers.
    RePEc:ceu:econwp:2012_9.

    Full description at Econpapers || Download paper

  19. Is relaxing equity constraints panacea for Malawi’s green gold expansion? A fuzzy regression discontinuity design approach. (2009). Simtowe, Franklin.
    In: MPRA Paper.
    RePEc:pra:mprapa:17065.

    Full description at Econpapers || Download paper

  20. Estimating the Effects of Lenght of Exposure to Traning Program: The Case of Job Corps. (2009). Flores-Lagunes, Alfonso ; Neumann, Todd C. ; Gonzalez, Arturo.
    In: Working Papers.
    RePEc:mia:wpaper:2010-3.

    Full description at Econpapers || Download paper

  21. Estimating distributions of potential outcomes using local instrumental variables with an application to changes in college enrollment and wage inequality. (2009). Lee, Sokbae (Simon) ; Carneiro, Pedro.
    In: CeMMAP working papers.
    RePEc:ifs:cemmap:01/09.

    Full description at Econpapers || Download paper

  22. Estimating distributions of potential outcomes using local instrumental variables with an application to changes in college enrollment and wage inequality. (2009). Lee, Sokbae (Simon) ; Carneiro, Pedro.
    In: Journal of Econometrics.
    RePEc:eee:econom:v:149:y:2009:i:2:p:191-208.

    Full description at Econpapers || Download paper

  23. Identification of Causal Effects on Binary Outcomes Using Structural Mean Models. (2009). Windmeijer, Frank ; Clarke, Paul.
    In: The Centre for Market and Public Organisation.
    RePEc:bri:cmpowp:09/217.

    Full description at Econpapers || Download paper

  24. Instrumental Variable Estimators for Binary Outcomes. (2009). Windmeijer, Frank ; Clarke, Paul.
    In: The Centre for Market and Public Organisation.
    RePEc:bri:cmpowp:09/209.

    Full description at Econpapers || Download paper

  25. Recent Developments in the Econometrics of Program Evaluation. (2008). Wooldridge, Jeffrey ; Imbens, Guido.
    In: NBER Working Papers.
    RePEc:nbr:nberwo:14251.

    Full description at Econpapers || Download paper

  26. After Midnight: A Regression Discontinuity Design in Length of Postpartum Hospital Stays. (2008). Almond, Douglas ; Joseph J. Doyle, Jr., .
    In: NBER Working Papers.
    RePEc:nbr:nberwo:13877.

    Full description at Econpapers || Download paper

  27. Estimation of causal effects of fertility on economic wellbeing: evidence from rural Vietnam. (2008). arpino, bruno ; Aassve, Arnstein.
    In: ISER Working Paper Series.
    RePEc:ese:iserwp:2007-27.

    Full description at Econpapers || Download paper

  28. Gendered impact of NERICA Adoption on Farmers’ Production and Income in Central Benin. (2008). Kinkingninhoun-Medagbe, F. M. ; Agboh-Noameshie, A. R. ; Diagne, A..
    In: 2007 Second International Conference, August 20-22, 2007, Accra, Ghana.
    RePEc:ags:aaae07:52082.

    Full description at Econpapers || Download paper

  29. Opium for the Masses: How Foreign Free Media Can Stabilize Authoritarian Regimes. (2007). Hainmueller, Jens ; Kern, Holger.
    In: MPRA Paper.
    RePEc:pra:mprapa:2702.

    Full description at Econpapers || Download paper

  30. Vocational Labour Market Training in Promoting Youth Employment. (2007). Tuomala, Juha ; Hamalainen, Kari .
    In: Discussion Papers.
    RePEc:fer:dpaper:432.

    Full description at Econpapers || Download paper

  31. Fertility and female labor supply in Latin America: New causal evidence. (2007). Galiani, Sebastian ; Cruces, Guillermo.
    In: Labour Economics.
    RePEc:eee:labeco:v:14:y:2007:i:3:p:565-573.

    Full description at Econpapers || Download paper

  32. Nonparametric IV estimation of local average treatment effects with covariates. (2007). Frölich, Markus ; Frolich, Markus.
    In: Journal of Econometrics.
    RePEc:eee:econom:v:139:y:2007:i:1:p:35-75.

    Full description at Econpapers || Download paper

  33. The Effect of Marital Breakup on the Income Distribution of Women with Children. (2007). Michaels, Guy ; Ananat, Elizabeth O..
    In: CEPR Discussion Papers.
    RePEc:cpr:ceprdp:6228.

    Full description at Econpapers || Download paper

  34. The Effect of Marital Breakup on the Income Distribution of Women with Children. (2007). Michaels, Guy ; Ananat, Elizabeth O..
    In: CEP Discussion Papers.
    RePEc:cep:cepdps:dp0787.

    Full description at Econpapers || Download paper

  35. Endogenous Selection Or Treatment Model Estimation. (2007). Lewbel, Arthur.
    In: Boston College Working Papers in Economics.
    RePEc:boc:bocoec:462.

    Full description at Econpapers || Download paper

  36. Nonparametric bounds on the effect of deductibles in health care insurance on doctor visits - Swiss evidence. (2006). Gerfin, Michael ; Schellhorn, Martin.
    In: Health Economics.
    RePEc:wly:hlthec:v:15:y:2006:i:9:p:1011-1020.

    Full description at Econpapers || Download paper

  37. Nonparametric Econometrics: Theory and Practice. (2006). Racine, Jeffrey Scott ; Li, QI.
    In: Economics Books.
    RePEc:pup:pbooks:8355.

    Full description at Econpapers || Download paper

  38. Estimating ATT Effects with Non-Experimental Data and Low Compliance. (2006). Attanasio, Orazio ; Angelucci, Manuela.
    In: IZA Discussion Papers.
    RePEc:iza:izadps:dp2368.

    Full description at Econpapers || Download paper

  39. Estimation of Average Treatment Effects With Misclassification. (2006). Lewbel, Arthur.
    In: Boston College Working Papers in Economics.
    RePEc:boc:bocoec:556.

    Full description at Econpapers || Download paper

  40. Fertility and Female Labor Supply in Latin America: New Causal Evidence. (2005). Galiani, Sebastian ; Cruces, Guillermo.
    In: Labor and Demography.
    RePEc:wpa:wuwpla:0511011.

    Full description at Econpapers || Download paper

  41. Do Temporary Help Jobs Improve Labor Market Outcomes for Low-Skilled Workers? Evidence from Work First. (2005). Houseman, Susan ; Autor, David.
    In: NBER Working Papers.
    RePEc:nbr:nberwo:11743.

    Full description at Econpapers || Download paper

  42. Instrumental Variables Methods in Experimental Criminological Research: What, Why, and How?. (2005). Angrist, Joshua.
    In: NBER Technical Working Papers.
    RePEc:nbr:nberte:0314.

    Full description at Econpapers || Download paper

  43. Estimation of Average Treatment Effects With Misclassification. (2004). Lewbel, Arthur.
    In: Econometric Society 2004 North American Winter Meetings.
    RePEc:ecm:nawm04:210.

    Full description at Econpapers || Download paper

  44. Estimation of Treatment Effects in Randomized Trials with Noncompliance and a Dichotomous Outcome. (2004). Hubbard, Alan ; Jewell, Nicholas ; van der Laan, Mark ; Mark van der Laan, .
    In: U.C. Berkeley Division of Biostatistics Working Paper Series.
    RePEc:bep:ucbbio:1157.

    Full description at Econpapers || Download paper

  45. Generalizing the Causal Effect of Fertility on Female Labor Supply. (2003). Galiani, Sebastian ; Cruces, Guillermo.
    In: Labor and Demography.
    RePEc:wpa:wuwpla:0310002.

    Full description at Econpapers || Download paper

  46. Generalizing the Causal Effect of Fertility on Female Labor Supply. (2003). Galiani, Sebastian ; Cruces, Guillermo.
    In: William Davidson Institute Working Papers Series.
    RePEc:wdi:papers:2003-625.

    Full description at Econpapers || Download paper

  47. Treatment Effect Heterogeneity in Theory and Practice. (2003). Angrist, Joshua.
    In: NBER Working Papers.
    RePEc:nbr:nberwo:9708.

    Full description at Econpapers || Download paper

  48. Treatment Effect Heterogeneity in Theory and Practice. (2003). Angrist, Joshua.
    In: IZA Discussion Papers.
    RePEc:iza:izadps:dp851.

    Full description at Econpapers || Download paper

  49. Simple and Bias-Corrected Matching Estimators for Average Treatment Effects. (2002). Imbens, Guido ; Abadie, Alberto ; Alberto, .
    In: NBER Technical Working Papers.
    RePEc:nbr:nberte:0283.

    Full description at Econpapers || Download paper

  50. Nonparametric Instrumental Regression. (2002). Renault, Eric ; Florens, Jean-Pierre ; darolles, serge.
    In: Cahiers de recherche.
    RePEc:mtl:montde:2002-05.

    Full description at Econpapers || Download paper

Coauthors

Authors registered in RePEc who have wrote about the same topic

Report date: 2024-11-28 18:54:15 || Missing content? Let us know

CitEc is a RePEc service, providing citation data for Economics since 2001. Sponsored by INOMICS. Last updated October, 6 2023. Contact: CitEc Team.