This document has not been cited yet.

1. (1990): “A consistent conditional moment test of functional form,” Econometrica: Journal of the Econometric Society, pp. 1443–1458.
   Paper not yet in RePEc: Add citation now
   
2. (2000): “Consistent model specification tests: Kernel-based tests versus Bierens’ ICM tests,” Econometric Theory, pp. 1016–1041.
   Paper not yet in RePEc: Add citation now
   
3. ABADIE, A., AND M. D. CATTANEO (2018): “Econometric methods for program evaluation, ” Annual Review of Economics, 10, 465–503.
   Paper not yet in RePEc: Add citation now
   

4. ABREVAYA, J., Y.-C. HSU, AND R. P. LIELI (2015): “Estimating conditional average treatment effects,” Journal of Business & Economic Statistics, 33(4), 485–505.

5. AI, C., O. LINTON, K. MOTEGI, AND Z. ZHANG (2021): “A Unified Framework for Efficient Estimation of General Treatment Models,” Quantitative Economics, forthcoming.

6. AIT-SAHALIA, Y., P. J. BICKEL, AND T. M. STOKER (2001): “Goodness-of-fit tests for kernel regression with an application to option implied volatilities,” Journal of Econometrics, 105(2), 363–412.

7. ANDREWS, D. W. K. (1994): “Empirical Process Methods in Econometrics,” in Handbook of Econometrics, ed. by R. F. Engle, and D. L. McFadden, vol. 4, chap. 37, pp. 2247– 2294. Citeseer.
   Paper not yet in RePEc: Add citation now
   

8. AO, W., S. CALONICO, AND Y.-Y. LEE (2021): “Multivalued treatments and decomposition analysis: An application to the WIA program,” Journal of Business & Economic Statistics, 39(1), 358–371.

9. ATHEY, S., G. W. IMBENS, AND S. WAGER (2018): “Approximate residual balancing: debiased inference of average treatment effects in high dimensions,” Journal of the Royal Statistical Society: Series B (Statistical Methodology), 80(4), 597–623.

10. BIERENS, H. J. (1982): “Consistent model specification tests,” Journal of Econometrics, 20(1), 105–134.

11. BIERENS, H. J., AND W. PLOBERGER (1997): “Asymptotic theory of integrated conditional moment tests,” Econometrica: Journal of the Econometric Society, pp. 1129–1151.

12. BUCHINSKY, M. (1995): “Quantile regression, Box-Cox transformation model, and the U.S. wage structure, 1963–1987,” Journal of Econometrics, 65(1), 109–154.

13. CATTANEO, M. D. (2010): “Efficient semiparametric estimation of multi-valued treatment effects under ignorability,” Journal of Econometrics, 155(2), 138–154.

14. CHAN, K. C. G., S. C. P. YAM, AND Z. ZHANG (2016): “Globally efficient nonparametric inference of average treatment effects by empirical balancing calibration weighting,” Journal of the Royal Statistical Society: Series B (Statistical Methodology), 78(3), 673–700.

15. CHEN, X. (2007): “Large sample sieve estimation of semi-nonparametric models,” Handbook of Econometrics, 6(B), 5549–5632.

16. CHEN, X., AND Y. FAN (1999): “Consistent hypothesis testing in semiparametric and nonparametric models for econometric time series.,” Journal of Econometrics, 91, 373–401.

17. CHEN, Y.-T., Y.-C. HSU, AND H.-J. WANG (2020): “A stochastic frontier model with endogenous treatment status and mediator,” Journal of Business & Economic Statistics, 38(2), 243–256.

18. CHERNOZHUKOV, V., I. FERNÁNDEZ-VAL, AND B. MELLY (2013): “Inference on counterfactual distributions,” Econometrica, 81(6), 2205–2268.
    Paper not yet in RePEc: Add citation now
    
19. COLANGELO, K., AND Y.-Y. LEE (2020): “Double debiased machine learning nonparametric inference with continuous treatments,” arXiv preprint arXiv:2004.03036.
    Paper not yet in RePEc: Add citation now
    

20. CRUMP, R. K., V. J. HOTZ, G. W. IMBENS, AND O. A. MITNIK (2008): “Nonparametric tests for treatment effect heterogeneity,” The Review of Economics and Statistics, 90(3), 389–405.

21. DONALD, S. G., AND Y.-C. HSU (2014): “Estimation and inference for distribution functions and quantile functions in treatment effect models,” Journal of Econometrics, 178(3), 383–397.

22. DONALD, S. G., Y.-C. HSU, AND R. P. LIELI (2014): “Testing the unconfoundedness assumption via inverse probability weighted estimators of (L) ATT,” Journal of Business & Economic Statistics, 32(3), 395–415.

23. DONG, Y., Y.-Y. LEE, AND M. GOU (2019): “Regression discontinuity designs with a continuous treatment,” Available at SSRN 3167541.

24. FAN, Q., Y.-C. HSU, R. P. LIELI, AND Y. ZHANG (2020): “Estimation of conditional average treatment effects with high-dimensional data,” Journal of Business & Economic Statistics, pp. 1–15.
    Paper not yet in RePEc: Add citation now
    

25. FAN, Y., AND Q. LI (1996): “Consistent model specification tests: omitted variables and semiparametric functional forms,” Econometrica: Journal of the econometric society, pp. 865–890.

26. FIRPO, S. (2007): “Efficient Semiparametric Estimation of Quantile Treatment Effects,” Econometrica, 75(1), 259–276.

27. FONG, C., C. HAZLETT, AND K. IMAI (2018): “Covariate Balancing Propensity Score for a Continuous Treatment: Application to the Efficacy of Political Advertisements,” Annals of Applied Statistics, 12(1), 156–177.
    Paper not yet in RePEc: Add citation now
    

28. GALVAO, A. F., AND L. WANG (2015): “Uniformly semiparametric efficient estimation of treatment effects with a continuous treatment,” Journal of the American Statistical Association, 110(512), 1528–1542.

29. HAHN, J. (1998): “On the role of the propensity score in efficient semiparametric estimation of average treatment effects,” Econometrica, 66(2), 315–331.

30. HIRANO, K., AND G. W. IMBENS (2004): “The propensity score with continuous treatments, ” in Applied Bayesian Modeling and Causal Inference from Incomplete-Data Perspectives, ed. by A. Gelman, and X.-L. Meng, chap. 7, pp. 73–84. John Wiley & Sons Ltd.
    Paper not yet in RePEc: Add citation now
    

31. HIRANO, K., G. W. IMBENS, AND G. RIDDER (2003): “Efficient Estimation of Average Treatment Effects Using the Estimated Propensity Score,” Econometrica, 71(4), 1161– 1189.

32. HSU, Y.-C., T.-C. LAI, AND R. P. LIELI (2020): “Counterfactual Treatment Effects: Estimation and Inference,” Journal of Business & Economic Statistics, pp. 1–16.
    Paper not yet in RePEc: Add citation now
    
33. HUBER, M., Y.-C. HSU, Y.-Y. LEE, AND L. LETTRY (2020): “Direct and indirect effects of continuous treatments based on generalized propensity score weighting,” Journal of Applied Econometrics, 35(7), 814–840.
    Paper not yet in RePEc: Add citation now
    

34. IMAI, K., AND D. A. VAN DYK (2004): “Causal inference with general treatment regimes: Generalizing the propensity score,” Journal of the American Statistical Association, 99(467), 854–866.

35. IMBENS, G. W., AND J. M. WOOLDRIDGE (2009): “Recent developments in the econometrics of program evaluation,” Journal of Economic Literature, 47(1), 5–86.

36. KENNEDY, E. H., Z. MA, M. D. MCHUGH, AND D. S. SMALL (2017): “Non-parametric methods for doubly robust estimation of continuous treatment effects,” Journal of the Royal Statistical Society: Series B (Statistical Methodology), 79(4), 1229–1245.

37. LEE, Y.-Y. (2018): “Efficient propensity score regression estimators of multivalued treatment effects for the treated,” Journal of Econometrics, 204(2), 207–222.

38. LI, Q. (1999): “Consistent model specification tests for time series econometric models,” Journal of Econometrics, 92(1), 101–147.

39. LI, Q., C. HSIAO, AND J. ZINN (2003): “Consistent specification tests for semiparametric /nonparametric models based on series estimation methods,” Journal of Econometrics, 112(2), 295–325.

40. NEWEY, W. K. (1997): “Convergence Rates and Asymptotic Normality for Series Estimators, ” Journal of Econometrics, 79(1), 147–168.

41. PAKES, A., AND D. POLLARD (1989): “Simulation and the asymptotics of optimization estimators,” Econometrica, 57(5), 1027–1057.

42. PRAESTGAARD, J., AND J. A. WELLNER (1993): “Exchangeably weighted bootstraps of the general empirical process,” The Annals of Probability, 21(4), 2053–2086.
    Paper not yet in RePEc: Add citation now
    
43. ROBINS, J. M., M. A. HERNÁN, AND B. BRUMBACK (2000): “Marginal structural models and causal inference in epidemiology,” Epidemiology, 11(5), 550–560.
    Paper not yet in RePEc: Add citation now
    
44. ROSENBAUM, P. R., AND D. B. RUBIN (1983): “The central role of the propensity score in observational studies for causal effects,” Biometrika, 70(1), 41–55.
    Paper not yet in RePEc: Add citation now
    
45. ROSENBAUM, P. R., AND D. B. RUBIN (1984): “Reducing bias in observational studies using subclassification on the propensity score,” J. Am. Statist. Ass., 79(387), 516–524.
    Paper not yet in RePEc: Add citation now
    

46. RUPPERT, D., M. P. WAND, AND R. J. CARROLL (2003): Semiparametric Regression. Cambridge University Press.

47. STINCHCOMBE, M. B., AND H. WHITE (1998): “Consistent specification testing with nuisance parameters present only under the alternative,” Econometric theory, 14(3), 295– 325.

48. STUTE, W. (1997): “Nonparametric model checks for regression,” The Annals of Statistics, pp. 613–641.
    Paper not yet in RePEc: Add citation now
    
49. URBAN, C., AND S. NIEBLER (2014): “Dollars on the Sidewalk: Should U.S. Presidential Candidates Advertise in Uncontested States?,” American Journal of Political Science, 58(2), 322–336.
    Paper not yet in RePEc: Add citation now
    
50. VAN DER VAART, A. W. (1998): Asymptotic Statistics. Cambridge University Press.
    Paper not yet in RePEc: Add citation now
    
51. VAN DER VAART, A. W., AND J. A. WELLNER (1996): Weak convergence and empirical processes with applications to statistics. Springer.
    Paper not yet in RePEc: Add citation now
    

52. ZHENG, J. X. (1996): “A consistent test of functional form via nonparametric estimation techniques,” Journal of Econometrics, 75(2), 263–289.

1. Identifying the impact of health insurance on subgroups with changing rates of diagnosis. (2023). Kaliski, Daniel.
   In: Health Economics.
   RePEc:wly:hlthec:v:32:y:2023:i:9:p:2098-2112.

   Full description at Econpapers || Download paper

2. Fused Extended Two-Way Fixed Effects for Difference-in-Differences with Staggered Adoptions. (2023). Faletto, Gregory.
   In: Papers.
   RePEc:arx:papers:2312.05985.

   Full description at Econpapers || Download paper

3. Optimal Transport for Counterfactual Estimation: A Method for Causal Inference. (2023). Gallic, Ewen ; Flachaire, Emmanuel ; Charpentier, Arthur.
   In: Papers.
   RePEc:arx:papers:2301.07755.

   Full description at Econpapers || Download paper

4. Stable Probability Weighting: Large-Sample and Finite-Sample Estimation and Inference Methods for Heterogeneous Causal Effects of Multivalued Treatments Under Limited Overlap. (2023). Karapakula, Ganesh.
   In: Papers.
   RePEc:arx:papers:2301.05703.

   Full description at Econpapers || Download paper

5. Estimating conditional treatment effects of EIB lending to SMEs in Europe. (2022). Wolski, Marcin ; Gereben, Aron ; Barbera, Alessandro.
   In: EIB Working Papers.
   RePEc:zbw:eibwps:202203.

   Full description at Econpapers || Download paper

6. Outcome regression-based estimation of conditional average treatment effect. (2022). ZHU, LI XING ; Zhou, Niwen ; Li, LU.
   In: Annals of the Institute of Statistical Mathematics.
   RePEc:spr:aistmt:v:74:y:2022:i:5:d:10.1007_s10463-022-00821-x.

   Full description at Econpapers || Download paper

7. Aggregation Trees. (2022). Di Francesco, Riccardo.
   In: CEIS Research Paper.
   RePEc:rtv:ceisrp:546.

   Full description at Econpapers || Download paper

8. Causal Inference During a Pandemic: Evidence on the Effectiveness of Nebulized Ibuprofen as an Unproven Treatment for COVID-19 in Argentina. (2022). Di Tella, Rafael ; DiTella, Rafael ; Calonico, Sebastian ; Lopez, Juan Cruz.
   In: NBER Working Papers.
   RePEc:nbr:nberwo:30084.

   Full description at Econpapers || Download paper

9. The Effect of Participation in the Supplemental Nutrition Assistance Program on Food Insecurity of Children in U.S. Immigrant Households. (2022). Cho, Seungyeon.
   In: Journal of Family and Economic Issues.
   RePEc:kap:jfamec:v:43:y:2022:i:3:d:10.1007_s10834-021-09799-9.

   Full description at Econpapers || Download paper

10. Effect or Treatment Heterogeneity? Policy Evaluation with Aggregated and Disaggregated Treatments. (2022). Knaus, Michael C ; Heiler, Phillip.
    In: IZA Discussion Papers.
    RePEc:iza:izadps:dp15580.

    Full description at Econpapers || Download paper

11. Impact of COVID-19 School Closures on the Cognitive and Non-cognitive Skills of Elementary School Students. (2022). Ohtake, Fumio ; Fumio, Ohtake ; Shinsuke, Asakawa.
    In: Discussion papers.
    RePEc:eti:dpaper:22075.

    Full description at Econpapers || Download paper

12. Statistical inference of heterogeneous treatment effect based on single-index model. (2022). Wang, Zhaoliang ; Li, Gaorong ; Kong, Yinfei ; Feng, Sanying.
    In: Computational Statistics & Data Analysis.
    RePEc:eee:csdana:v:175:y:2022:i:c:s0167947322001347.

    Full description at Econpapers || Download paper

13. The role of propensity score structure in asymptotic efficiency of estimated conditional quantile treatment effect. (2022). ZHU, LI XING ; Guo, XU ; Zhou, Niwen.
    In: Scandinavian Journal of Statistics.
    RePEc:bla:scjsta:v:49:y:2022:i:2:p:718-743.

    Full description at Econpapers || Download paper

14. Estimating conditional treatment effects of EIB lending to SMEs in Europe. (2022). Wolski, Marcin ; Gereben, Aron ; Barbera, Alessandro.
    In: BIS Working Papers.
    RePEc:bis:biswps:1006.

    Full description at Econpapers || Download paper

15. Sample Fit Reliability. (2022). Younge, Kenneth A ; Okasa, Gabriel.
    In: Papers.
    RePEc:arx:papers:2209.06631.

    Full description at Econpapers || Download paper

16. Modified Causal Forest. (2022). Mareckova, Jana ; Lechner, Michael.
    In: Papers.
    RePEc:arx:papers:2209.03744.

    Full description at Econpapers || Download paper

17. .

    Full description at Econpapers || Download paper

18. A Nonparametric Test for Testing Heterogeneity in Conditional Quantile Treatment Effects. (2021). Tang, Shengfang ; Lin, Ming ; Fang, Ying ; Cai, Zongwu.
    In: WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS.
    RePEc:kan:wpaper:202117.

    Full description at Econpapers || Download paper

19. Estimating Partially Conditional Quantile Treatment Effects. (2021). Tang, Shengfang ; Lin, Ming ; Fang, Ying ; Cai, Zongwu.
    In: WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS.
    RePEc:kan:wpaper:202103.

    Full description at Econpapers || Download paper

20. Semiparametric Estimation of a Corporate Bond Rating Model. (2021). Jiang, Yixiao.
    In: Econometrics.
    RePEc:gam:jecnmx:v:9:y:2021:i:2:p:23-:d:564043.

    Full description at Econpapers || Download paper

21. A Unified Framework for Specification Tests of Continuous Treatment Effect Models. (2021). Zhang, Z ; Linton, O ; Huang, W.
    In: Cambridge Working Papers in Economics.
    RePEc:cam:camdae:2113.

    Full description at Econpapers || Download paper

22. A Finite Sample Theorem for Longitudinal Causal Inference with Machine Learning: Long Term, Dynamic, and Mediated Effects. (2021). Singh, Rahul.
    In: Papers.
    RePEc:arx:papers:2112.14249.

    Full description at Econpapers || Download paper

23. \beta-Intact-VAE: Identifying and Estimating Causal Effects under Limited Overlap. (2021). Fukumizu, Kenji ; Wu, Pengzhou.
    In: Papers.
    RePEc:arx:papers:2110.05225.

    Full description at Econpapers || Download paper

24. Effect or Treatment Heterogeneity? Policy Evaluation with Aggregated and Disaggregated Treatments. (2021). Heiler, Phillip ; Knaus, Michael C.
    In: Papers.
    RePEc:arx:papers:2110.01427.

    Full description at Econpapers || Download paper

25. Partial Identification and Inference for the Conditional Distribution of Treatment Effects. (2021). Lee, Sungwon.
    In: Papers.
    RePEc:arx:papers:2108.00723.

    Full description at Econpapers || Download paper

26. A Simple and General Debiased Machine Learning Theorem with Finite Sample Guarantees. (2021). Chernozhukov, Victor ; Singh, Rahul ; Newey, Whitney K.
    In: Papers.
    RePEc:arx:papers:2105.15197.

    Full description at Econpapers || Download paper

27. A Unified Framework for Specification Tests of Continuous Treatment Effect Models. (2021). Zhang, Zheng ; Linton, Oliver ; Huang, Wei.
    In: Papers.
    RePEc:arx:papers:2102.08063.

    Full description at Econpapers || Download paper

28. .

    Full description at Econpapers || Download paper

29. Direct and indirect effects of continuous treatments based on generalized propensity score weighting. (2020). Huber, Martin ; Hsu, Yuchin ; Lettry, Layal ; Lee, Yingying.
    In: Journal of Applied Econometrics.
    RePEc:wly:japmet:v:35:y:2020:i:7:p:814-840.

    Full description at Econpapers || Download paper

30. Paid parental leave and maternal reemployment: Do part-time subsidies help or harm?. (2020). Zimmert, Michael.
    In: Economics Working Paper Series.
    RePEc:usg:econwp:2020:02.

    Full description at Econpapers || Download paper

31. Inferences for Partially Conditional Quantile Treatment Effect Model. (2020). Fang, Ying ; Cai, Zongwu ; Tang, Shengfang ; Lin, Ming.
    In: WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS.
    RePEc:kan:wpaper:202005.

    Full description at Econpapers || Download paper

32. A New Quantile Treatment Effect Model for Studying Smoking Effect on Birth Weight During Mothers Pregnancy. (2020). Cai, Zongwu ; Tang, Shengfang ; Lin, Ming ; Fang, Ying.
    In: WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS.
    RePEc:kan:wpaper:202003.

    Full description at Econpapers || Download paper

33. Causal forest estimation of heterogeneous and time-varying environmental policy effects. (2020). Miller, Steve.
    In: Journal of Environmental Economics and Management.
    RePEc:eee:jeeman:v:103:y:2020:i:c:s0095069620300607.

    Full description at Econpapers || Download paper

34. Kernel Methods for Policy Evaluation: Treatment Effects, Mediation Analysis, and Off-Policy Planning. (2020). Gretton, Arthur ; Xu, Liyuan ; Singh, Rahul.
    In: Papers.
    RePEc:arx:papers:2010.04855.

    Full description at Econpapers || Download paper

35. Estimating and Decomposing Conditional Average Treatment Effects: The Smoking Ban in England. (2019). Robson, Matthew ; Cookson, R ; Doran, T.
    In: Health, Econometrics and Data Group (HEDG) Working Papers.
    RePEc:yor:hectdg:19/20.

    Full description at Econpapers || Download paper

36. Modified Causal Forests for Estimating Heterogeneous Causal Effects. (2019). Lechner, Michael.
    In: Economics Working Paper Series.
    RePEc:usg:econwp:2019:01.

    Full description at Econpapers || Download paper

37. Nonparametric estimation of causal heterogeneity under high-dimensional confounding. (2019). Lechner, Michael ; Zimmert, Michael.
    In: Papers.
    RePEc:arx:papers:1908.08779.

    Full description at Econpapers || Download paper

38. Estimation of Conditional Average Treatment Effects with High-Dimensional Data. (2019). Lieli, Robert ; Zhang, Yichong ; Hsu, Yu-Chin ; Fan, Qingliang.
    In: Papers.
    RePEc:arx:papers:1908.02399.

    Full description at Econpapers || Download paper

39. Modified Causal Forests for Estimating Heterogeneous Causal Effects. (2019). Lechner, Michael.
    In: Papers.
    RePEc:arx:papers:1812.09487.

    Full description at Econpapers || Download paper

40. Machine Learning Estimation of Heterogeneous Causal Effects: Empirical Monte Carlo Evidence. (2018). Strittmatter, Anthony ; Lechner, Michael ; Knaus, Michael.
    In: Economics Working Paper Series.
    RePEc:usg:econwp:2018:17.

    Full description at Econpapers || Download paper

41. Modified Causal Forests for Estimating Heterogeneous Causal Effects. (2018). Lechner, Michael.
    In: IZA Discussion Papers.
    RePEc:iza:izadps:dp12040.

    Full description at Econpapers || Download paper

42. Machine Learning Estimation of Heterogeneous Causal Effects: Empirical Monte Carlo Evidence. (2018). Strittmatter, Anthony ; Lechner, Michael ; Knaus, Michael.
    In: IZA Discussion Papers.
    RePEc:iza:izadps:dp12039.

    Full description at Econpapers || Download paper

43. Direct and indirect effects of continuous treatments based on generalized propensity score weighting. (2018). Huber, Martin ; Hsu, Yu-Chin ; Pipoz, Layal ; Lee, Ying-Ying.
    In: FSES Working Papers.
    RePEc:fri:fribow:fribow00495.

    Full description at Econpapers || Download paper

44. Doubly robust uniform confidence band for the conditional average treatment effect function. (2017). Whang, Yoon-Jae ; Okui, Ryo ; Lee, Sokbae (Simon).
    In: LSE Research Online Documents on Economics.
    RePEc:ehl:lserod:86852.

    Full description at Econpapers || Download paper

45. Information provision and consumer behavior: A natural experiment in billing frequency. (2017). Wichman, Casey.
    In: Journal of Public Economics.
    RePEc:eee:pubeco:v:152:y:2017:i:c:p:13-33.

    Full description at Econpapers || Download paper

46. DOUBLY ROBUST UNIFORM CONFIDENCE BAND FOR THE CONDITIONAL AVERAGE TREATMENT EFFECT FUNCTION. (2016). Whang, Yoon-Jae ; Okui, Ryo ; Lee, Sokbae (Simon).
    In: KIER Working Papers.
    RePEc:kyo:wpaper:931.

    Full description at Econpapers || Download paper

47. Doubly robust uniform confidence band for the conditional average treatment effect function. (2016). Whang, Yoon-Jae ; Okui, Ryo ; Lee, Sokbae (Simon).
    In: CeMMAP working papers.
    RePEc:ifs:cemmap:03/16.

    Full description at Econpapers || Download paper

48. Doubly Robust Uniform Confidence Band for the Conditional Average Treatment Effect Function. (2016). Whang, Yoon-Jae ; Okui, Ryo ; Lee, Sokbae (Simon).
    In: Papers.
    RePEc:arx:papers:1601.02801.

    Full description at Econpapers || Download paper

Report date: 2025-02-27 10:37:00 || Missing content? Let us know