Robert Pal Lieli
Personal Details
First Name: | Robert |
Middle Name: | Pal |
Last Name: | Lieli |
Suffix: | |
RePEc Short-ID: | pli759 |
[This author has chosen not to make the email address public] | |
https://www.sites.google.com/site/robertplieli | |
Affiliation
Department of Economics and Business
Central European University
Budapest, Hungaryhttp://economics.ceu.edu/
RePEc:edi:deceuhu (more details at EDIRC)
Research output
Jump to: Working papers Articles ChaptersWorking papers
- Mate Kormos & Robert P. Lieli & Martin Huber, 2023. "Treatment Effect Analysis for Pairs with Endogenous Treatment Takeup," Papers 2301.04876, arXiv.org.
- Yu-Chin Hsu & Robert P. Lieli, 2021. "Inference for ROC Curves Based on Estimated Predictive Indices," Papers 2112.01772, arXiv.org.
- Qingliang Fan & Yu-Chin Hsu & Robert P. Lieli & Yichong Zhang, 2019.
"Estimation of Conditional Average Treatment Effects with High-Dimensional Data,"
Papers
1908.02399, arXiv.org, revised Jul 2021.
- Qingliang Fan & Yu-Chin Hsu & Robert P. Lieli & Yichong Zhang, 2022. "Estimation of Conditional Average Treatment Effects With High-Dimensional Data," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 40(1), pages 313-327, January.
- Robert Pal Lieli & Yu-Chin Hsu, 2018.
"Using the Area Under an Estimated ROC Curve to Test the Adequacy of Binary Predictors,"
CEU Working Papers
2018_1, Department of Economics, Central European University.
- Robert P. Lieli & Yu-Chin Hsu, 2019. "Using the area under an estimated ROC curve to test the adequacy of binary predictors," Journal of Nonparametric Statistics, Taylor & Francis Journals, vol. 31(1), pages 100-130, January.
- Yu-Chin Hsu & Tsung-Chih Lai & Robert P. Lieli, 2017. "Estimating Counterfactual Treatment Effects to Assess External Validity," IEAS Working Paper : academic research 17-A011, Institute of Economics, Academia Sinica, Taipei, Taiwan.
- Urmee Khan & Robert Lieli, 2016.
"Information Flow Between Prediction Markets, Polls and Media: Evidence from the 2008 Presidential Primaries,"
Working Papers
201610, University of California at Riverside, Department of Economics.
- Khan, Urmee & Lieli, Robert P., 2018. "Information flow between prediction markets, polls and media: Evidence from the 2008 presidential primaries," International Journal of Forecasting, Elsevier, vol. 34(4), pages 696-710.
- Urmee Khan & Robert Lieli, 2017. "Information Flow Between Prediction Markets, Polls and Media: Evidence from the 2008 Presidential Primaries," Working Papers 201711, University of California at Riverside, Department of Economics.
- Robert P. Lieli & Yu-Chin Hsu, 2016. "The Null Distribution of the Empirical AUC for Classi ers with Estimated Parameters: a Special Case," IEAS Working Paper : academic research 16-A007, Institute of Economics, Academia Sinica, Taipei, Taiwan.
- Yu-Chin Hsu & Robert P. Lieli & Tsung-Chih Lai, 2015. "Estimation and Inference for Distribution Functions and Quantile Functions in Endogenous Treatment Effect Models," IEAS Working Paper : academic research 15-A003, Institute of Economics, Academia Sinica, Taipei, Taiwan.
- Marianna Endresz & Peter Harasztosi & Robert P. Lieli, 2015. "The Impact of the Magyar Nemzeti Bank's Funding for Growth Scheme on Firm Level Investment," MNB Working Papers 2015/2, Magyar Nemzeti Bank (Central Bank of Hungary).
- Stephen G. Donald & Yu-Chin Hsu & Robert P. Lieli, 2014.
"Inverse Probability Weighted Estimation of Local Average Treatment Effects: A Higher Order MSE Expansion,"
IEAS Working Paper : academic research
14-A002, Institute of Economics, Academia Sinica, Taipei, Taiwan, revised Aug 2014.
- Donald, Stephen G. & Hsu, Yu-Chin & Lieli, Robert P., 2014. "Inverse probability weighted estimation of local average treatment effects: A higher order MSE expansion," Statistics & Probability Letters, Elsevier, vol. 95(C), pages 132-138.
- Stephen G. Donald & Yu-Chin Hsu & Robert P. Lieli, 2012.
"Testing the Unconfoundedness Assumption via Inverse Probability Weighted Estimators of (L)ATT,"
IEAS Working Paper : academic research
12-A017, Institute of Economics, Academia Sinica, Taipei, Taiwan.
- Stephen G. Donald & Yu-Chin Hsu & Robert P. Lieli, 2014. "Testing the Unconfoundedness Assumption via Inverse Probability Weighted Estimators of (L)ATT," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 32(3), pages 395-415, July.
- Jason Abrevaya & Yu-Chin Hsu & Robert P. Lieli, 2012.
"Estimating Conditional Average Treatment Effects,"
CEU Working Papers
2012_16, Department of Economics, Central European University, revised 20 Jul 2012.
- Jason Abrevaya & Yu-Chin Hsu & Robert P. Lieli, 2015. "Estimating Conditional Average Treatment Effects," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 33(4), pages 485-505, October.
- Stephen G. Donald & Yu-Chin Hsu & Robert P. Lieli, 2010. "Inverse Propensity Score Weighted Estimation of Local Average Treatment Effects and a Test of the Unconfoundedness Assumption," CEU Working Papers 2012_9, Department of Economics, Central European University, revised 11 Aug 2010.
Articles
- Qingliang Fan & Yu-Chin Hsu & Robert P. Lieli & Yichong Zhang, 2022.
"Estimation of Conditional Average Treatment Effects With High-Dimensional Data,"
Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 40(1), pages 313-327, January.
- Qingliang Fan & Yu-Chin Hsu & Robert P. Lieli & Yichong Zhang, 2019. "Estimation of Conditional Average Treatment Effects with High-Dimensional Data," Papers 1908.02399, arXiv.org, revised Jul 2021.
- Yu-Chin Hsu & Tsung-Chih Lai & Robert P. Lieli, 2022. "Counterfactual Treatment Effects: Estimation and Inference," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 40(1), pages 240-255, January.
- Yu-Chin Hsu & Tsung-Chih Lai & Robert P. Lieli, 2022. "Estimation and inference for distribution and quantile functions in endogenous treatment effect models," Econometric Reviews, Taylor & Francis Journals, vol. 41(1), pages 22-50, January.
- Robert P Lieli & Augusto Nieto-Barthaburu, 2020. "On the Possibility of Informative Equilibria in Futures Markets with Feedback," Journal of the European Economic Association, European Economic Association, vol. 18(3), pages 1521-1552.
- Robert P. Lieli & Yu-Chin Hsu, 2019.
"Using the area under an estimated ROC curve to test the adequacy of binary predictors,"
Journal of Nonparametric Statistics, Taylor & Francis Journals, vol. 31(1), pages 100-130, January.
- Robert Pal Lieli & Yu-Chin Hsu, 2018. "Using the Area Under an Estimated ROC Curve to Test the Adequacy of Binary Predictors," CEU Working Papers 2018_1, Department of Economics, Central European University.
- Lieli, Robert P. & Stinchcombe, Maxwell B. & Grolmusz, Viola M., 2019. "Unrestricted and controlled identification of loss functions: Possibility and impossibility results," International Journal of Forecasting, Elsevier, vol. 35(3), pages 878-890.
- Khan, Urmee & Lieli, Robert P., 2018.
"Information flow between prediction markets, polls and media: Evidence from the 2008 presidential primaries,"
International Journal of Forecasting, Elsevier, vol. 34(4), pages 696-710.
- Urmee Khan & Robert Lieli, 2016. "Information Flow Between Prediction Markets, Polls and Media: Evidence from the 2008 Presidential Primaries," Working Papers 201610, University of California at Riverside, Department of Economics.
- Urmee Khan & Robert Lieli, 2017. "Information Flow Between Prediction Markets, Polls and Media: Evidence from the 2008 Presidential Primaries," Working Papers 201711, University of California at Riverside, Department of Economics.
- Kónya, István & Benczúr, Péter & Szabó-Morvai, Ágnes & Lieli, Róbert & Reiff, Ádám, 2018. "Doktoranduszhallgatók VI. Nyári Műhelye. MKE-PTE KTK, Pécs, 2018. május 25-26 [6th Summer Conference of Doctoral Students]," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(7), pages 852-853.
- Kónya, István & Benczúr, Péter & Szabó-Morvai, Ágnes & Lieli, Róbert & Reiff, Ádám, 2018. "Előszó. A Magyar Közgazdaságtudományi Egyesület 11. konferenciája, Budapest, 2017. december 18-19 [Introduction. 11th Conference, Hungarian Society of Economics]," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(7), pages 685-686.
- Jason Abrevaya & Yu-Chin Hsu & Robert P. Lieli, 2015.
"Estimating Conditional Average Treatment Effects,"
Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 33(4), pages 485-505, October.
- Jason Abrevaya & Yu-Chin Hsu & Robert P. Lieli, 2012. "Estimating Conditional Average Treatment Effects," CEU Working Papers 2012_16, Department of Economics, Central European University, revised 20 Jul 2012.
- Donald, Stephen G. & Hsu, Yu-Chin & Lieli, Robert P., 2014.
"Inverse probability weighted estimation of local average treatment effects: A higher order MSE expansion,"
Statistics & Probability Letters, Elsevier, vol. 95(C), pages 132-138.
- Stephen G. Donald & Yu-Chin Hsu & Robert P. Lieli, 2014. "Inverse Probability Weighted Estimation of Local Average Treatment Effects: A Higher Order MSE Expansion," IEAS Working Paper : academic research 14-A002, Institute of Economics, Academia Sinica, Taipei, Taiwan, revised Aug 2014.
- Stephen G. Donald & Yu-Chin Hsu & Robert P. Lieli, 2014.
"Testing the Unconfoundedness Assumption via Inverse Probability Weighted Estimators of (L)ATT,"
Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 32(3), pages 395-415, July.
- Stephen G. Donald & Yu-Chin Hsu & Robert P. Lieli, 2012. "Testing the Unconfoundedness Assumption via Inverse Probability Weighted Estimators of (L)ATT," IEAS Working Paper : academic research 12-A017, Institute of Economics, Academia Sinica, Taipei, Taiwan.
- Robert P. Lieli & Michael Springborn, 2013. "Closing the Gap between Risk Estimation and Decision Making: Efficient Management of Trade-Related Invasive Species Risk," The Review of Economics and Statistics, MIT Press, vol. 95(2), pages 632-645, May.
- Elliott, Graham & Lieli, Robert P., 2013. "Predicting binary outcomes," Journal of Econometrics, Elsevier, vol. 174(1), pages 15-26.
- Lieli, Robert P. & Stinchcombe, Maxwell B., 2013. "On The Recoverability Of Forecasters’ Preferences," Econometric Theory, Cambridge University Press, vol. 29(3), pages 517-544, June.
- Lieli, Robert P. & White, Halbert, 2010. "The construction of empirical credit scoring rules based on maximization principles," Journal of Econometrics, Elsevier, vol. 157(1), pages 110-119, July.
- Lieli, Robert P. & Nieto-Barthaburu, Augusto, 2010. "Optimal Binary Prediction for Group Decision Making," Journal of Business & Economic Statistics, American Statistical Association, vol. 28(2), pages 308-319.
Chapters
- Robert P. Lieli & Yu-Chin Hsu & Ágoston Reguly, 2022. "The Use of Machine Learning in Treatment Effect Estimation," Advanced Studies in Theoretical and Applied Econometrics, in: Felix Chan & László Mátyás (ed.), Econometrics with Machine Learning, chapter 0, pages 79-109, Springer.
Citations
Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.Working papers
- Yu-Chin Hsu & Robert P. Lieli, 2021.
"Inference for ROC Curves Based on Estimated Predictive Indices,"
Papers
2112.01772, arXiv.org.
Cited by:
- Kajal Lahiri & Cheng Yang, 2023. "A tale of two recession-derivative indicators," Empirical Economics, Springer, vol. 65(2), pages 925-947, August.
- Qingliang Fan & Yu-Chin Hsu & Robert P. Lieli & Yichong Zhang, 2019.
"Estimation of Conditional Average Treatment Effects with High-Dimensional Data,"
Papers
1908.02399, arXiv.org, revised Jul 2021.
- Qingliang Fan & Yu-Chin Hsu & Robert P. Lieli & Yichong Zhang, 2022. "Estimation of Conditional Average Treatment Effects With High-Dimensional Data," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 40(1), pages 313-327, January.
Cited by:
- Riccardo Di Francesco, 2022. "Aggregation Trees," CEIS Research Paper 546, Tor Vergata University, CEIS, revised 20 Nov 2023.
- Kyle Colangelo & Ying-Ying Lee, 2020. "Double Debiased Machine Learning Nonparametric Inference with Continuous Treatments," Papers 2004.03036, arXiv.org, revised Sep 2023.
- Phillip Heiler & Michael C. Knaus, 2021.
"Effect or Treatment Heterogeneity? Policy Evaluation with Aggregated and Disaggregated Treatments,"
Papers
2110.01427, arXiv.org, revised Aug 2023.
- Heiler, Phillip & Knaus, Michael C., 2022. "Effect or Treatment Heterogeneity? Policy Evaluation with Aggregated and Disaggregated Treatments," IZA Discussion Papers 15580, Institute of Labor Economics (IZA).
- Kazuhiko Shinoda & Takahiro Hoshino, 2022. "Orthogonal Series Estimation for the Ratio of Conditional Expectation Functions," Papers 2212.13145, arXiv.org.
- Michael Zimmert & Michael Lechner, 2019. "Nonparametric estimation of causal heterogeneity under high-dimensional confounding," Papers 1908.08779, arXiv.org.
- 'Agoston Reguly, 2021. "Heterogeneous Treatment Effects in Regression Discontinuity Designs," Papers 2106.11640, arXiv.org, revised Oct 2021.
- Daniel Jacob, 2019. "Group Average Treatment Effects for Observational Studies," Papers 1911.02688, arXiv.org, revised Mar 2020.
- Knaus, Michael C., 2020.
"Double Machine Learning based Program Evaluation under Unconfoundedness,"
Economics Working Paper Series
2004, University of St. Gallen, School of Economics and Political Science.
- Knaus, Michael C., 2020. "Double Machine Learning Based Program Evaluation under Unconfoundedness," IZA Discussion Papers 13051, Institute of Labor Economics (IZA).
- Michael C Knaus, 2022. "Double machine learning-based programme evaluation under unconfoundedness [Econometric methods for program evaluation]," The Econometrics Journal, Royal Economic Society, vol. 25(3), pages 602-627.
- Michael C. Knaus, 2020. "Double Machine Learning based Program Evaluation under Unconfoundedness," Papers 2003.03191, arXiv.org, revised Jun 2022.
- Claudia Noack & Tomasz Olma & Christoph Rothe, 2021. "Flexible Covariate Adjustments in Regression Discontinuity Designs," Papers 2107.07942, arXiv.org, revised May 2023.
- Wei Huang & Oliver Linton & Zheng Zhang, 2021.
"A Unified Framework for Specification Tests of Continuous Treatment Effect Models,"
Papers
2102.08063, arXiv.org, revised Sep 2021.
- Huang, W. & Linton, O. & Zhang, Z., 2021. "A Unified Framework for Specification Tests of Continuous Treatment Effect Models," Cambridge Working Papers in Economics 2113, Faculty of Economics, University of Cambridge.
- Kyle Colangelo & Ying-Ying Lee, 2019. "Double debiased machine learning nonparametric inference with continuous treatments," CeMMAP working papers CWP54/19, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Gregory Faletto, 2023. "Fused Extended Two-Way Fixed Effects for Difference-in-Differences with Staggered Adoptions," Papers 2312.05985, arXiv.org.
- Adam Baybutt & Manu Navjeevan, 2023. "Doubly-Robust Inference for Conditional Average Treatment Effects with High-Dimensional Controls," Papers 2301.06283, arXiv.org.
- Arthur Charpentier & Emmanuel Flachaire & Ewen Gallic, 2023. "Optimal Transport for Counterfactual Estimation: A Method for Causal Inference," Papers 2301.07755, arXiv.org.
- Agboola, Oluwagbenga David & Yu, Han, 2023. "Neighborhood-based cross fitting approach to treatment effects with high-dimensional data," Computational Statistics & Data Analysis, Elsevier, vol. 186(C).
- Yang Ning & Sida Peng & Jing Tao, 2020. "Doubly Robust Semiparametric Difference-in-Differences Estimators with High-Dimensional Data," Papers 2009.03151, arXiv.org.
- Zimmert, Franziska & Zimmert, Michael, 2020. "Paid parental leave and maternal reemployment: Do part-time subsidies help or harm?," Economics Working Paper Series 2002, University of St. Gallen, School of Economics and Political Science.
- Ganesh Karapakula, 2023. "Stable Probability Weighting: Large-Sample and Finite-Sample Estimation and Inference Methods for Heterogeneous Causal Effects of Multivalued Treatments Under Limited Overlap," Papers 2301.05703, arXiv.org, revised Jan 2023.
- Robert Pal Lieli & Yu-Chin Hsu, 2018.
"Using the Area Under an Estimated ROC Curve to Test the Adequacy of Binary Predictors,"
CEU Working Papers
2018_1, Department of Economics, Central European University.
- Robert P. Lieli & Yu-Chin Hsu, 2019. "Using the area under an estimated ROC curve to test the adequacy of binary predictors," Journal of Nonparametric Statistics, Taylor & Francis Journals, vol. 31(1), pages 100-130, January.
Cited by:
- Christiansen, Charlotte & Eriksen, Jonas N. & Møller, Stig V., 2019. "Negative house price co-movements and US recessions," Regional Science and Urban Economics, Elsevier, vol. 77(C), pages 382-394.
- Robert Pal Lieli & Yu-Chin Hsu, 2018.
"Using the Area Under an Estimated ROC Curve to Test the Adequacy of Binary Predictors,"
CEU Working Papers
2018_1, Department of Economics, Central European University.
- Robert P. Lieli & Yu-Chin Hsu, 2019. "Using the area under an estimated ROC curve to test the adequacy of binary predictors," Journal of Nonparametric Statistics, Taylor & Francis Journals, vol. 31(1), pages 100-130, January.
- Kajal Lahiri & Cheng Yang, 2023.
"ROC and PRC Approaches to Evaluate Recession Forecasts,"
Journal of Business Cycle Research, Springer;Centre for International Research on Economic Tendency Surveys (CIRET), vol. 19(2), pages 119-148, September.
- Kajal Lahiri & Cheng Yang, 2023. "ROC and PRC Approaches to Evaluate Recession Forecasts," CESifo Working Paper Series 10449, CESifo.
- Halko, Marja-Liisa & Lappalainen, Olli & Sääksvuori, Lauri, 2021. "Do non-choice data reveal economic preferences? Evidence from biometric data and compensation-scheme choice," Journal of Economic Behavior & Organization, Elsevier, vol. 188(C), pages 87-104.
- Saldarriaga, Miguel, 2018.
"Credit Booms in Commodity Exporters,"
Working Papers
2018-008, Banco Central de Reserva del Perú.
- Miguel Angel Saldarriaga, 2017. "Credit Booms in Commodity Exporters," Working Papers 98, Peruvian Economic Association.
- Yu-Chin Hsu & Robert P. Lieli & Tsung-Chih Lai, 2015.
"Estimation and Inference for Distribution Functions and Quantile Functions in Endogenous Treatment Effect Models,"
IEAS Working Paper : academic research
15-A003, Institute of Economics, Academia Sinica, Taipei, Taiwan.
Cited by:
- Chernozhukov, Victor & Fernández-Val, Iván & Melly, Blaise & Wüthrich, Kaspar, 2020.
"Generic Inference on Quantile and Quantile Effect Functions for Discrete Outcomes,"
University of California at San Diego, Economics Working Paper Series
qt5zm6m9rq, Department of Economics, UC San Diego.
- Victor Chernozhukov & Ivan Fernandez-Val & Blaise Melly & Kaspar Wüthrich, 2017. "Generic inference on quantile and quantile effect functions for discrete outcomes," CeMMAP working papers CWP23/17, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Victor Chernozhukov & Ivan Fernandez-Val & Blaise Melly & Kaspar Wüthrich, 2016. "Generic inference on quantile and quantile effect functions for discrete outcomes," CeMMAP working papers CWP35/16, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Victor Chernozhukov & Iván Fernández-Val & Blaise Melly & Kaspar Wüthrich, 2020. "Generic Inference on Quantile and Quantile Effect Functions for Discrete Outcomes," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 115(529), pages 123-137, January.
- Victor Chernozhukov & Ivan Fernandez-Val & Blaise Melly & Kaspar Wüthrich, 2017. "Generic inference on quantile and quantile effect functions for discrete outcomes," CeMMAP working papers 23/17, Institute for Fiscal Studies.
- Victor Chernozhukov & Ivan Fernandez-Val & Blaise Melly & Kaspar Wüthrich, 2016. "Generic inference on quantile and quantile effect functions for discrete outcomes," CeMMAP working papers 35/16, Institute for Fiscal Studies.
- Victor Chernozhukov & Ivan Fernandez-Val & Blaise Melly & Kaspar W thrich, 2016. "Generic Inference on Quantile and Quantile Effect Functions for Discrete Outcomes," Diskussionsschriften dp1607, Universitaet Bern, Departement Volkswirtschaft.
- Victor Chernozhukov & Iv'an Fern'andez-Val & Blaise Melly & Kaspar Wuthrich, 2016. "Generic Inference on Quantile and Quantile Effect Functions for Discrete Outcomes," Papers 1608.05142, arXiv.org, revised Aug 2018.
- Wüthrich, Kaspar, 2019.
"A closed-form estimator for quantile treatment effects with endogeneity,"
Journal of Econometrics, Elsevier, vol. 210(2), pages 219-235.
- Wüthrich, Kaspar, 2019. "A closed-form estimator for quantile treatment effects with endogeneity," University of California at San Diego, Economics Working Paper Series qt99n9197q, Department of Economics, UC San Diego.
- Blaise Melly und Kaspar W thrich, 2016. "Local quantile treatment effects," Diskussionsschriften dp1605, Universitaet Bern, Departement Volkswirtschaft.
- Huber Martin & Wüthrich Kaspar, 2019.
"Local Average and Quantile Treatment Effects Under Endogeneity: A Review,"
Journal of Econometric Methods, De Gruyter, vol. 8(1), pages 1-27, January.
- Huber, Martin & Wüthrich, Kaspar, 2019. "Local Average and Quantile Treatment Effects Under Endogeneity: A Review," University of California at San Diego, Economics Working Paper Series qt4j29d8sc, Department of Economics, UC San Diego.
- Huber, Martin & Wüthrich, Kaspar, 2017. "Evaluating local average and quantile treatment effects under endogeneity based on instruments: a review," FSES Working Papers 479, Faculty of Economics and Social Sciences, University of Freiburg/Fribourg Switzerland.
- Chernozhukov, Victor & Fernández-Val, Iván & Melly, Blaise & Wüthrich, Kaspar, 2020.
"Generic Inference on Quantile and Quantile Effect Functions for Discrete Outcomes,"
University of California at San Diego, Economics Working Paper Series
qt5zm6m9rq, Department of Economics, UC San Diego.
- Marianna Endresz & Peter Harasztosi & Robert P. Lieli, 2015.
"The Impact of the Magyar Nemzeti Bank's Funding for Growth Scheme on Firm Level Investment,"
MNB Working Papers
2015/2, Magyar Nemzeti Bank (Central Bank of Hungary).
Cited by:
- Gereben, Áron & Rop, Anton & Petriček, Matic & Winkler, Adalbert, 2019. "The impact of international financial institutions on small and medium enterprises: The case of EIB lending in Central and Eastern Europe," EIB Working Papers 2019/09, European Investment Bank (EIB).
- Harasztosi, Péter & Maurin, Laurent & Pál, Rozália & Revoltella, Debora & van der Wielen, Wouter, 2022.
"Firm-level policy support during the crisis: So far, so good?,"
International Economics, Elsevier, vol. 171(C), pages 30-48.
- Harasztosi, Péter & Maurin, Laurent & Pál, Rozália & Revoltella, Debora & Van Der Wielen, Wouter, 2022. "Firm-level policy support during the crisis: So far, so good?," EIB Working Papers 2022/01, European Investment Bank (EIB).
- András László, 2016. "Impact of the Funding for Growth Scheme on the Hungarian economy," Financial and Economic Review, Magyar Nemzeti Bank (Central Bank of Hungary), vol. 15(4), pages 65-87.
- Péter Gábriel & György Molnár & Judit Várhegyi, 2016. "Fixing an impaired monetary transmission mechanism: the Hungarian experience," BIS Papers chapters, in: Bank for International Settlements (ed.), Inflation mechanisms, expectations and monetary policy, volume 89, pages 179-191, Bank for International Settlements.
- Hosszú, Zsuzsanna, 2018. "The impact of credit supply shocks and a new Financial Conditions Index based on a FAVAR approach," Economic Systems, Elsevier, vol. 42(1), pages 32-44.
- Lang, Péter & Drabancz, Áron & El-Meouch Nedim, Márton, 2021. "A koronavírus-járvány miatt bevezetett jegybanki és állami hitelprogramok hatása a magyar foglalkoztatásra [The impact of central-bank and state-loan programmes introduced in Hungarian employment d," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(9), pages 930-965.
- Dinara Khamitovna GALLYAMOVA & Aidar Il'darovich MIFTAKHOV, 2017. "Boosting The Autonomy Of Regional Banking Systems As A Driver Of Economic Development: The Case Of Russia," Regional Science Inquiry, Hellenic Association of Regional Scientists, vol. 0(2), pages 55-68, December.
- Stephen G. Donald & Yu-Chin Hsu & Robert P. Lieli, 2014.
"Inverse Probability Weighted Estimation of Local Average Treatment Effects: A Higher Order MSE Expansion,"
IEAS Working Paper : academic research
14-A002, Institute of Economics, Academia Sinica, Taipei, Taiwan, revised Aug 2014.
- Donald, Stephen G. & Hsu, Yu-Chin & Lieli, Robert P., 2014. "Inverse probability weighted estimation of local average treatment effects: A higher order MSE expansion," Statistics & Probability Letters, Elsevier, vol. 95(C), pages 132-138.
Cited by:
- Huber, Martin, 2019.
"An introduction to flexible methods for policy evaluation,"
FSES Working Papers
504, Faculty of Economics and Social Sciences, University of Freiburg/Fribourg Switzerland.
- Martin Huber, 2019. "An introduction to flexible methods for policy evaluation," Papers 1910.00641, arXiv.org.
- Tymon S{l}oczy'nski & S. Derya Uysal & Jeffrey M. Wooldridge, 2022. "Abadie's Kappa and Weighting Estimators of the Local Average Treatment Effect," Papers 2204.07672, arXiv.org, revised Feb 2024.
- Sloczynski, Tymon & Uysal, Derya & Wooldridge, Jeffrey M., 2022.
"Abadie's Kappa and Weighting Estimators of the Local Average Treatment Effect,"
IZA Discussion Papers
15241, Institute of Labor Economics (IZA).
- Tymon Sloczynski & Derya Uysal & Jeffrey Wooldridge, 2023. "Abadie's Kappa and Weighting Estimators of the Local Average Treatment Effect," Rationality and Competition Discussion Paper Series 424, CRC TRR 190 Rationality and Competition.
- Tymon Sloczynski & S. Derya Uysal & Jeffrey M. Wooldridge & Derya Uysal, 2022. "Abadie's Kappa and Weighting Estimators of the Local Average Treatment Effect," CESifo Working Paper Series 9715, CESifo.
- Jason Abrevaya & Yu-Chin Hsu & Robert P. Lieli, 2012.
"Estimating Conditional Average Treatment Effects,"
CEU Working Papers
2012_16, Department of Economics, Central European University, revised 20 Jul 2012.
- Jason Abrevaya & Yu-Chin Hsu & Robert P. Lieli, 2015. "Estimating Conditional Average Treatment Effects," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 33(4), pages 485-505, October.
- Huber Martin & Wüthrich Kaspar, 2019.
"Local Average and Quantile Treatment Effects Under Endogeneity: A Review,"
Journal of Econometric Methods, De Gruyter, vol. 8(1), pages 1-27, January.
- Huber, Martin & Wüthrich, Kaspar, 2019. "Local Average and Quantile Treatment Effects Under Endogeneity: A Review," University of California at San Diego, Economics Working Paper Series qt4j29d8sc, Department of Economics, UC San Diego.
- Hsu, Yu-Chin & Huber, Martin & Lai, Tsung Chih, 2017.
"Nonparametric estimation of natural direct and indirect effects based on inverse probability weighting,"
FSES Working Papers
482, Faculty of Economics and Social Sciences, University of Freiburg/Fribourg Switzerland.
- Hsu Yu-Chin & Huber Martin & Lai Tsung-Chih, 2019. "Nonparametric estimation of natural direct and indirect effects based on inverse probability weighting," Journal of Econometric Methods, De Gruyter, vol. 8(1), pages 1-20, January.
- Huber, Martin & Wüthrich, Kaspar, 2017. "Evaluating local average and quantile treatment effects under endogeneity based on instruments: a review," FSES Working Papers 479, Faculty of Economics and Social Sciences, University of Freiburg/Fribourg Switzerland.
- Tesfaye, Wondimagegn & Tirivayi, Nyasha, 2016. "The effect of improved storage innovations on food security and welfare in Ethiopia," MERIT Working Papers 2016-063, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
- Tesfaye, Wondimagegn & Tirivayi, Nyasha, 2018. "The impacts of postharvest storage innovations on food security and welfare in Ethiopia," Food Policy, Elsevier, vol. 75(C), pages 52-67.
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"Estimation of Conditional Average Treatment Effects With High-Dimensional Data,"
Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 40(1), pages 313-327, January.
See citations under working paper version above.
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Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 40(1), pages 240-255, January.
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- Arthur Charpentier & Emmanuel Flachaire & Ewen Gallic, 2023. "Optimal Transport for Counterfactual Estimation: A Method for Causal Inference," Papers 2301.07755, arXiv.org.
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- Jason Abrevaya & Yu-Chin Hsu & Robert P. Lieli, 2015.
"Estimating Conditional Average Treatment Effects,"
Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 33(4), pages 485-505, October.
See citations under working paper version above.
- Jason Abrevaya & Yu-Chin Hsu & Robert P. Lieli, 2012. "Estimating Conditional Average Treatment Effects," CEU Working Papers 2012_16, Department of Economics, Central European University, revised 20 Jul 2012.
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Statistics & Probability Letters, Elsevier, vol. 95(C), pages 132-138.
See citations under working paper version above.
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- Stephen G. Donald & Yu-Chin Hsu & Robert P. Lieli, 2014.
"Testing the Unconfoundedness Assumption via Inverse Probability Weighted Estimators of (L)ATT,"
Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 32(3), pages 395-415, July.
See citations under working paper version above.
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- Chen, Le-Yu & Lee, Sokbae, 2018. "Best subset binary prediction," Journal of Econometrics, Elsevier, vol. 206(1), pages 39-56.
- Le-Yu Chen & Sokbae (Simon) Lee, 2017. "Best subset binary prediction," CeMMAP working papers CWP50/17, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Lahiri, Kajal & Yang, Liu, 2013.
"Forecasting Binary Outcomes,"
Handbook of Economic Forecasting, in: G. Elliott & C. Granger & A. Timmermann (ed.), Handbook of Economic Forecasting, edition 1, volume 2, chapter 0, pages 1025-1106,
Elsevier.
- Kajal Lahiri & Liu Yang, 2012. "Forecasting Binary Outcomes," Discussion Papers 12-09, University at Albany, SUNY, Department of Economics.
- Werner Ehm & Tilmann Gneiting & Alexander Jordan & Fabian Krüger, 2016. "Of quantiles and expectiles: consistent scoring functions, Choquet representations and forecast rankings," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 78(3), pages 505-562, June.
- Le-Yu Chen & Sokbae Lee, 2016.
"Best Subset Binary Prediction,"
Papers
1610.02738, arXiv.org, revised May 2018.
- Elliott, Graham & Lieli, Robert P., 2013.
"Predicting binary outcomes,"
Journal of Econometrics, Elsevier, vol. 174(1), pages 15-26.
Cited by:
- Andrii Babii & Xi Chen & Eric Ghysels & Rohit Kumar, 2020.
"Binary Choice with Asymmetric Loss in a Data-Rich Environment: Theory and an Application to Racial Justice,"
Papers
2010.08463, arXiv.org, revised Nov 2021.
- Ghysels, Eric & Babii, Andrii & Chen, Xi & Kumar, Rohit, 2020. "Binary Choice with Asymmetric Loss in a Data-Rich Environment: Theory and an Application to Racial Justice," CEPR Discussion Papers 15418, C.E.P.R. Discussion Papers.
- Mathias Drehmann, 2013.
"Evaluating early warning indicators of banking crises: Satisfying policy requirements,"
BIS Working Papers
421, Bank for International Settlements.
- Drehmann, Mathias & Juselius, Mikael, 2014. "Evaluating early warning indicators of banking crises: Satisfying policy requirements," International Journal of Forecasting, Elsevier, vol. 30(3), pages 759-780.
- Toru Kitagawa & Aleksey Tetenov, 2018.
"Who Should Be Treated? Empirical Welfare Maximization Methods for Treatment Choice,"
Econometrica, Econometric Society, vol. 86(2), pages 591-616, March.
- Toru Kitagawa & Aleksey Tetenov, 2017. "Who should be treated? Empirical welfare maximization methods for treatment choice," CeMMAP working papers CWP24/17, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Toru Kitagawa & Aleksey Tetenov, 2015. "Who should be Treated? Empirical Welfare Maximization Methods for Treatment Choice," Carlo Alberto Notebooks 402, Collegio Carlo Alberto.
- Toru Kitagawa & Aleksey Tetenov, 2015. "Who should be treated? Empirical welfare maximization methods for treatment choice," CeMMAP working papers CWP10/15, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Kajal Lahiri & Cheng Yang, 2022. "ROC approach to forecasting recessions using daily yield spreads," Business Economics, Palgrave Macmillan;National Association for Business Economics, vol. 57(4), pages 191-203, October.
- André K. Anundsen & Frank Hansen & Karsten Gerdrup & Kasper Kragh-Sørensen, 2014.
"Bubbles and crises: The role of house prices and credit,"
Working Paper
2014/14, Norges Bank.
- André K. Anundsen & Karsten Gerdrup & Frank Hansen & Kasper Kragh‐Sørensen, 2016. "Bubbles and Crises: The Role of House Prices and Credit," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 31(7), pages 1291-1311, November.
- Le-Yu Chen & Sokbae Lee, 2016.
"Best Subset Binary Prediction,"
Papers
1610.02738, arXiv.org, revised May 2018.
- Le-Yu Chen & Sokbae (Simon) Lee, 2017. "Best subset binary prediction," CeMMAP working papers 50/17, Institute for Fiscal Studies.
- Chen, Le-Yu & Lee, Sokbae, 2018. "Best subset binary prediction," Journal of Econometrics, Elsevier, vol. 206(1), pages 39-56.
- Le-Yu Chen & Sokbae (Simon) Lee, 2017. "Best subset binary prediction," CeMMAP working papers CWP50/17, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Nyberg, Henri & Pönkä, Harri, 2016.
"International sign predictability of stock returns: The role of the United States,"
Economic Modelling, Elsevier, vol. 58(C), pages 323-338.
- Henri Nyberg & Harri Pönkä, 2015. "International Sign Predictability of Stock Returns: The Role of the United States," CREATES Research Papers 2015-20, Department of Economics and Business Economics, Aarhus University.
- Travis J. Berge, 2015.
"Predicting Recessions with Leading Indicators: Model Averaging and Selection over the Business Cycle,"
Journal of Forecasting, John Wiley & Sons, Ltd., vol. 34(6), pages 455-471, September.
- Travis J. Berge, 2013. "Predicting recessions with leading indicators: model averaging and selection over the business cycle," Research Working Paper RWP 13-05, Federal Reserve Bank of Kansas City.
- Knut Are Aastveit & André K. Anundsen & Eyo I. Herstad, 2017.
"Residential investment and recession predictability,"
Working Paper
2017/24, Norges Bank.
- Knut Are Aastveit & Andr� K. Anundsen & Eyo I. Herstad, 2017. "Residential investment and recession predictability," Working Papers No 8/2017, Centre for Applied Macro- and Petroleum economics (CAMP), BI Norwegian Business School.
- Aastveit, Knut Are & Anundsen, André K. & Herstad, Eyo I., 2019. "Residential investment and recession predictability," International Journal of Forecasting, Elsevier, vol. 35(4), pages 1790-1799.
- Davide Viviano & Jess Rudder, 2020. "Policy design in experiments with unknown interference," Papers 2011.08174, arXiv.org, revised Dec 2023.
- Robert Pal Lieli & Yu-Chin Hsu, 2018.
"Using the Area Under an Estimated ROC Curve to Test the Adequacy of Binary Predictors,"
CEU Working Papers
2018_1, Department of Economics, Central European University.
- Robert P. Lieli & Yu-Chin Hsu, 2019. "Using the area under an estimated ROC curve to test the adequacy of binary predictors," Journal of Nonparametric Statistics, Taylor & Francis Journals, vol. 31(1), pages 100-130, January.
- Timmermann, Allan & Elliott, Graham, 2007.
"Economic Forecasting,"
CEPR Discussion Papers
6158, C.E.P.R. Discussion Papers.
- Graham Elliott & Allan Timmermann, 2016. "Economic Forecasting," Economics Books, Princeton University Press, edition 1, number 10740.
- Graham Elliott & Allan Timmermann, 2008. "Economic Forecasting," Journal of Economic Literature, American Economic Association, vol. 46(1), pages 3-56, March.
- Davide Viviano, 2019. "Policy Targeting under Network Interference," Papers 1906.10258, arXiv.org, revised Jan 2023.
- Jiun-Hua Su, 2019. "Model Selection in Utility-Maximizing Binary Prediction," Papers 1903.00716, arXiv.org, revised Jul 2020.
- Kajal Lahiri & Cheng Yang, 2023.
"ROC and PRC Approaches to Evaluate Recession Forecasts,"
Journal of Business Cycle Research, Springer;Centre for International Research on Economic Tendency Surveys (CIRET), vol. 19(2), pages 119-148, September.
- Kajal Lahiri & Cheng Yang, 2023. "ROC and PRC Approaches to Evaluate Recession Forecasts," CESifo Working Paper Series 10449, CESifo.
- Daniel F. Pellatt, 2022. "PAC-Bayesian Treatment Allocation Under Budget Constraints," Papers 2212.09007, arXiv.org, revised Jun 2023.
- Lahiri, Kajal & Yang, Liu, 2013.
"Forecasting Binary Outcomes,"
Handbook of Economic Forecasting, in: G. Elliott & C. Granger & A. Timmermann (ed.), Handbook of Economic Forecasting, edition 1, volume 2, chapter 0, pages 1025-1106,
Elsevier.
- Kajal Lahiri & Liu Yang, 2012. "Forecasting Binary Outcomes," Discussion Papers 12-09, University at Albany, SUNY, Department of Economics.
- Timothy Christensen & Hyungsik Roger Moon & Frank Schorfheide, 2020.
"Robust Forecasting,"
PIER Working Paper Archive
20-038, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.
- Timothy Christensen & Hyungsik Roger Moon & Frank Schorfheide, 2020. "Robust Forecasting," Papers 2011.03153, arXiv.org, revised Dec 2020.
- Jianghao Chu & Tae-Hwy Lee & Aman Ullah, 2023. "Asymmetric AdaBoost for High-dimensional Maximum Score Regression," Working Papers 202306, University of California at Riverside, Department of Economics.
- Kai Feng & Han Hong & Ke Tang & Jingyuan Wang, 2019. "Decision Making with Machine Learning and ROC Curves," Papers 1905.02810, arXiv.org.
- Oliver Blaskowitz & Helmut Herwartz, 2009.
"On economic evaluation of directional forecasts,"
SFB 649 Discussion Papers
SFB649DP2009-052, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
- Blaskowitz, Oliver & Herwartz, Helmut, 2011. "On economic evaluation of directional forecasts," International Journal of Forecasting, Elsevier, vol. 27(4), pages 1058-1065, October.
- Lieli, Robert P. & White, Halbert, 2010. "The construction of empirical credit scoring rules based on maximization principles," Journal of Econometrics, Elsevier, vol. 157(1), pages 110-119, July.
- Toru Kitagawa & Aleksey Tetenov, 2015. "Who should be treated? Empirical welfare maximization methods for treatment choice," CeMMAP working papers 10/15, Institute for Fiscal Studies.
- Su, Jiun-Hua, 2021. "Model selection in utility-maximizing binary prediction," Journal of Econometrics, Elsevier, vol. 223(1), pages 96-124.
- Pönkä, Harri, 2015.
"Real oil prices and the international sign predictability of stock returns,"
MPRA Paper
68330, University Library of Munich, Germany.
- Pönkä, Harri, 2016. "Real oil prices and the international sign predictability of stock returns," Finance Research Letters, Elsevier, vol. 17(C), pages 79-87.
- Stanislav Anatolyev & Natalia Kryzhanovskaya, 2009.
"Directional Prediction of Returns under Asymmetric Loss: Direct and Indirect Approaches,"
Working Papers
w0136, Center for Economic and Financial Research (CEFIR).
- Stanislav Anatolyev & Natalia Kryzhanovskaya, 2009. "Directional Prediction of Returns under Asymmetric Loss: Direct and Indirect Approaches," Working Papers w0136, New Economic School (NES).
- Martin Feldkircher & Thomas Gruber & Isabella Moder, 2014. "Using a Threshold Approach to Flag Vulnerabilities in CESEE Economies," Focus on European Economic Integration, Oesterreichische Nationalbank (Austrian Central Bank), issue 3, pages 8-30.
- Òscar Jordà & Alan M. Taylor, 2011. "Performance Evaluation of Zero Net-Investment Strategies," NBER Working Papers 17150, National Bureau of Economic Research, Inc.
- Madden, Gary & Mayer, Walter & Wu, Chen & Tran, Thien, 2015. "The forecasting accuracy of models of post-award network deployment: An application of maximum score tests," International Journal of Forecasting, Elsevier, vol. 31(4), pages 1153-1158.
- Mathias Drehmann & Kostas Tsatsaronis, 2014. "The credit-to-GDP gap and countercyclical capital buffers: questions and answers," BIS Quarterly Review, Bank for International Settlements, March.
- Halbert White & Karim Chalak, 2008. "Identifying Structural Effects in Nonseparable Systems Using Covariates," Boston College Working Papers in Economics 734, Boston College Department of Economics.
- Travis J. Berge, 2011.
"Forecasting disconnected exchange rates,"
Research Working Paper
RWP 11-12, Federal Reserve Bank of Kansas City.
- Travis J. Berge, 2014. "Forecasting Disconnected Exchange Rates," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 29(5), pages 713-735, August.
- Geršl, Adam & Jašová, Martina, 2018. "Credit-based early warning indicators of banking crises in emerging markets," Economic Systems, Elsevier, vol. 42(1), pages 18-31.
- Florios, Kostas & Skouras, Spyros, 2008. "Exact computation of max weighted score estimators," Journal of Econometrics, Elsevier, vol. 146(1), pages 86-91, September.
- Davide Viviano & Jelena Bradic, 2020. "Fair Policy Targeting," Papers 2005.12395, arXiv.org, revised Jun 2022.
- Nyberg, Henri, 2011. "Forecasting the direction of the US stock market with dynamic binary probit models," International Journal of Forecasting, Elsevier, vol. 27(2), pages 561-578, April.
- Baidoo, Edwin & Natarajan, Ramachandran, 2021. "Profit-based credit models with lender’s attitude towards risk and loss," Journal of Behavioral and Experimental Finance, Elsevier, vol. 32(C).
- Lee, Seung Jung & Posenau, Kelly E. & Stebunovs, Viktors, 2020. "The anatomy of financial vulnerabilities and banking crises," Journal of Banking & Finance, Elsevier, vol. 112(C).
- Andrii Babii & Xi Chen & Eric Ghysels & Rohit Kumar, 2020.
"Binary Choice with Asymmetric Loss in a Data-Rich Environment: Theory and an Application to Racial Justice,"
Papers
2010.08463, arXiv.org, revised Nov 2021.
- Lieli, Robert P. & Stinchcombe, Maxwell B., 2013.
"On The Recoverability Of Forecasters’ Preferences,"
Econometric Theory, Cambridge University Press, vol. 29(3), pages 517-544, June.
Cited by:
- Ivana Komunjer & Michael T. Owyang, 2012.
"Multivariate Forecast Evaluation and Rationality Testing,"
The Review of Economics and Statistics, MIT Press, vol. 94(4), pages 1066-1080, November.
- Komunjer, Ivana & OWYANG, MICHAEL, 2007. "Multivariate Forecast Evaluation And Rationality Testing," University of California at San Diego, Economics Working Paper Series qt81w8m5sf, Department of Economics, UC San Diego.
- Ivana Komunjer & Michael T. Owyang, 2007. "Multivariate forecast evaluation and rationality testing," Working Papers 2007-047, Federal Reserve Bank of St. Louis.
- Patrick Schmidt & Matthias Katzfuss & Tilmann Gneiting, 2021. "Interpretation of point forecasts with unknown directive," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 36(6), pages 728-743, September.
- Lieli, Robert P. & Stinchcombe, Maxwell B. & Grolmusz, Viola M., 2019. "Unrestricted and controlled identification of loss functions: Possibility and impossibility results," International Journal of Forecasting, Elsevier, vol. 35(3), pages 878-890.
- Fildes, Robert, 2015. "Forecasters and rationality—A comment on Fritsche et al., Forecasting the Brazilian Real and Mexican Peso: Asymmetric loss, forecast rationality and forecaster herding," International Journal of Forecasting, Elsevier, vol. 31(1), pages 140-143.
- Ivana Komunjer & Michael T. Owyang, 2012.
"Multivariate Forecast Evaluation and Rationality Testing,"
The Review of Economics and Statistics, MIT Press, vol. 94(4), pages 1066-1080, November.
- Lieli, Robert P. & White, Halbert, 2010.
"The construction of empirical credit scoring rules based on maximization principles,"
Journal of Econometrics, Elsevier, vol. 157(1), pages 110-119, July.
Cited by:
- Toru Kitagawa & Aleksey Tetenov, 2018.
"Who Should Be Treated? Empirical Welfare Maximization Methods for Treatment Choice,"
Econometrica, Econometric Society, vol. 86(2), pages 591-616, March.
- Toru Kitagawa & Aleksey Tetenov, 2017. "Who should be treated? Empirical welfare maximization methods for treatment choice," CeMMAP working papers CWP24/17, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Toru Kitagawa & Aleksey Tetenov, 2015. "Who should be Treated? Empirical Welfare Maximization Methods for Treatment Choice," Carlo Alberto Notebooks 402, Collegio Carlo Alberto.
- Toru Kitagawa & Aleksey Tetenov, 2015. "Who should be treated? Empirical welfare maximization methods for treatment choice," CeMMAP working papers CWP10/15, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Le-Yu Chen & Sokbae Lee, 2016.
"Best Subset Binary Prediction,"
Papers
1610.02738, arXiv.org, revised May 2018.
- Le-Yu Chen & Sokbae (Simon) Lee, 2017. "Best subset binary prediction," CeMMAP working papers 50/17, Institute for Fiscal Studies.
- Chen, Le-Yu & Lee, Sokbae, 2018. "Best subset binary prediction," Journal of Econometrics, Elsevier, vol. 206(1), pages 39-56.
- Le-Yu Chen & Sokbae (Simon) Lee, 2017. "Best subset binary prediction," CeMMAP working papers CWP50/17, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Robert Pal Lieli & Yu-Chin Hsu, 2018.
"Using the Area Under an Estimated ROC Curve to Test the Adequacy of Binary Predictors,"
CEU Working Papers
2018_1, Department of Economics, Central European University.
- Robert P. Lieli & Yu-Chin Hsu, 2019. "Using the area under an estimated ROC curve to test the adequacy of binary predictors," Journal of Nonparametric Statistics, Taylor & Francis Journals, vol. 31(1), pages 100-130, January.
- Toru Kitagawa & Shosei Sakaguchi & Aleksey Tetenov, 2021. "Constrained Classification and Policy Learning," Papers 2106.12886, arXiv.org, revised Jul 2023.
- Rafał Balina & Marta Idasz-Balina, 2021. "Drivers of Individual Credit Risk of Retail Customers—A Case Study on the Example of the Polish Cooperative Banking Sector," Risks, MDPI, vol. 9(12), pages 1-26, December.
- Toru Kitagawa & Aleksey Tetenov, 2015. "Who should be treated? Empirical welfare maximization methods for treatment choice," CeMMAP working papers 10/15, Institute for Fiscal Studies.
- Halbert White & Karim Chalak, 2008. "Identifying Structural Effects in Nonseparable Systems Using Covariates," Boston College Working Papers in Economics 734, Boston College Department of Economics.
- Maria Patricia Durango‐Gutiérrez & Juan Lara‐Rubio & Andrés Navarro‐Galera, 2023. "Analysis of default risk in microfinance institutions under the Basel III framework," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 28(2), pages 1261-1278, April.
- Baidoo, Edwin & Natarajan, Ramachandran, 2021. "Profit-based credit models with lender’s attitude towards risk and loss," Journal of Behavioral and Experimental Finance, Elsevier, vol. 32(C).
- Toru Kitagawa & Aleksey Tetenov, 2018.
"Who Should Be Treated? Empirical Welfare Maximization Methods for Treatment Choice,"
Econometrica, Econometric Society, vol. 86(2), pages 591-616, March.
- Lieli, Robert P. & Nieto-Barthaburu, Augusto, 2010.
"Optimal Binary Prediction for Group Decision Making,"
Journal of Business & Economic Statistics, American Statistical Association, vol. 28(2), pages 308-319.
Cited by:
- Elliott, Graham & Lieli, Robert P., 2013. "Predicting binary outcomes," Journal of Econometrics, Elsevier, vol. 174(1), pages 15-26.
- Le-Yu Chen & Sokbae Lee, 2016.
"Best Subset Binary Prediction,"
Papers
1610.02738, arXiv.org, revised May 2018.
- Le-Yu Chen & Sokbae (Simon) Lee, 2017. "Best subset binary prediction," CeMMAP working papers 50/17, Institute for Fiscal Studies.
- Chen, Le-Yu & Lee, Sokbae, 2018. "Best subset binary prediction," Journal of Econometrics, Elsevier, vol. 206(1), pages 39-56.
- Le-Yu Chen & Sokbae (Simon) Lee, 2017. "Best subset binary prediction," CeMMAP working papers CWP50/17, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Lahiri, Kajal & Yang, Liu, 2013.
"Forecasting Binary Outcomes,"
Handbook of Economic Forecasting, in: G. Elliott & C. Granger & A. Timmermann (ed.), Handbook of Economic Forecasting, edition 1, volume 2, chapter 0, pages 1025-1106,
Elsevier.
- Kajal Lahiri & Liu Yang, 2012. "Forecasting Binary Outcomes," Discussion Papers 12-09, University at Albany, SUNY, Department of Economics.
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NEP Fields
NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 13 papers announced in NEP. These are the fields, ordered by number of announcements, along with their dates. If the author is listed in the directory of specialists for this field, a link is also provided.- NEP-ECM: Econometrics (9) 2013-01-07 2014-02-15 2015-08-30 2016-07-02 2017-08-27 2018-04-30 2019-08-26 2022-01-10 2023-02-13. Author is listed
- NEP-BIG: Big Data (1) 2019-08-26
- NEP-CFN: Corporate Finance (1) 2015-09-26
- NEP-CTA: Contract Theory and Applications (1) 2017-10-22
- NEP-CUL: Cultural Economics (1) 2016-06-04
- NEP-ENT: Entrepreneurship (1) 2015-09-26
- NEP-EXP: Experimental Economics (1) 2023-02-13
- NEP-GER: German Papers (1) 2015-08-30
- NEP-LMA: Labor Markets - Supply, Demand, and Wages (1) 2017-08-27
- NEP-MAC: Macroeconomics (1) 2015-09-26
- NEP-PAY: Payment Systems and Financial Technology (1) 2019-08-26
- NEP-RMG: Risk Management (1) 2012-11-03
- NEP-SOG: Sociology of Economics (1) 2014-02-15
- NEP-TRA: Transition Economics (1) 2015-09-26
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