Anna Simoni : Citation Profile


Centre de Recherche en Économie et Statistique (CREST)

8

H index

5

i10 index

191

Citations

RESEARCH PRODUCTION:

13

Articles

43

Papers

RESEARCH ACTIVITY:

   12 years (2010 - 2022). See details.
   Cites by year: 15
   Journals where Anna Simoni has often published
   Relations with other researchers
   Recent citing documents: 39.    Total self citations: 18 (8.61 %)

MORE DETAILS IN:
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   Permalink: http://citec.repec.org/psi733
   Updated: 2025-12-13    RAS profile: 2023-02-24    
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Relations with other researchers


Works with:

Mogliani, Matteo (3)

Ferrara, Laurent (2)

Shin, Minchul (2)

Authors registered in RePEc who have co-authored more than one work in the last five years with Anna Simoni.

Is cited by:

Chen, Xiaohong (7)

Lewbel, Arthur (6)

Escanciano, Juan Carlos (5)

Bhattacharjee, Arnab (5)

Shin, Minchul (5)

Centorrino, Samuele (4)

Marcellino, Massimiliano (4)

Babii, Andrii (4)

Giacomini, Raffaella (4)

Kline, Brendan (4)

LINTON, OLIVER (3)

Cites to:

Chen, Xiaohong (26)

Chernozhukov, Victor (24)

Newey, Whitney (14)

Molinari, Francesca (13)

Giannone, Domenico (11)

Andrews, Donald (10)

Reichlin, Lucrezia (10)

Tamer, Elie (9)

Magnac, Thierry (8)

Bontemps, Christian (8)

Renault, Eric (8)

Main data


Where Anna Simoni has published?


Journals with more than one article published# docs
Journal of Econometrics5
Annals of Economics and Statistics3
Econometric Theory2

Working Papers Series with more than one paper published# docs
Post-Print / HAL13
Papers / arXiv.org6
TSE Working Papers / Toulouse School of Economics (TSE)3
Working Papers / Center for Research in Economics and Statistics3
IDEI Working Papers / Institut d'conomie Industrielle (IDEI), Toulouse3
LIDAM Discussion Papers ISBA / Universit catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA)2

Recent works citing Anna Simoni (2025 and 2024)


YearTitle of citing document
2024Identification and Estimation of Multidimensional Screening. (2024). Zincenko, Federico ; Aryal, Gaurab. In: Papers. RePEc:arx:papers:1411.6250.

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2025Is completeness necessary? Estimation in nonidentified linear models. (2025). Babii, Andrii ; Florens, Jean-Pierre. In: Papers. RePEc:arx:papers:1709.03473.

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2024A Heteroskedasticity-Robust Overidentifying Restriction Test with High-Dimensional Covariates. (2024). Mei, Ziwei ; Guo, Zijian ; Fan, Qingliang. In: Papers. RePEc:arx:papers:2205.00171.

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2025Double Robust Bayesian Inference on Average Treatment Effects. (2025). Yu, Zhengfei ; Liu, Ruixuan ; Breunig, Christoph. In: Papers. RePEc:arx:papers:2211.16298.

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2024On LASSO for High Dimensional Predictive Regression. (2024). Mei, Ziwei ; Shi, Zhentao. In: Papers. RePEc:arx:papers:2212.07052.

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2024Hierarchical Regularizers for Reverse Unrestricted Mixed Data Sampling Regressions. (2024). Wilms, Ines ; Hecq, Alain ; Ternes, Marie. In: Papers. RePEc:arx:papers:2301.10592.

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2025Parametrization, Prior Independence, and the Semiparametric Bernstein-von Mises Theorem for the Partially Linear Model. (2025). Walker, Christopher D. In: Papers. RePEc:arx:papers:2306.03816.

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2025Factor-augmented sparse MIDAS regressions with an application to nowcasting. (2024). Striaukas, Jonas ; Beyhum, Jad. In: Papers. RePEc:arx:papers:2306.13362.

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2024Functional Spatial Autoregressive Models. (2024). Hoshino, Tadao. In: Papers. RePEc:arx:papers:2402.14763.

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2024Bayesian Bi-level Sparse Group Regressions for Macroeconomic Density Forecasting. (2024). Mogliani, Matteo ; Simoni, Anna. In: Papers. RePEc:arx:papers:2404.02671.

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2024MIDAS-QR with 2-Dimensional Structure. (2024). Szendrei, Tibor ; Schaffer, Mark ; Bhattacharjee, Arnab. In: Papers. RePEc:arx:papers:2406.15157.

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2024Nowcasting R&D Expenditures: A Machine Learning Approach. (2024). de Rassenfosse, Ga'Etan ; Aboutorabi, Atin. In: Papers. RePEc:arx:papers:2407.11765.

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2024Counterfactual Analysis in Empirical Games. (2024). Kline, Brendan ; Tamer, Elie. In: Papers. RePEc:arx:papers:2410.12731.

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2024Semiparametric Bayesian Inference for a Conditional Moment Equality Model. (2024). Walker, Christopher D. In: Papers. RePEc:arx:papers:2410.16017.

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2025High-frequency Density Nowcasts of U.S. State-Level Carbon Dioxide Emissions. (2025). Garr, Ignacio ; Ramos, Andrey. In: Papers. RePEc:arx:papers:2501.03380.

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2025Plausible GMM: A Quasi-Bayesian Approach. (2025). Hansen, Christian B ; Chernozhukov, Victor ; Wang, Weining ; Kong, Lingwei. In: Papers. RePEc:arx:papers:2507.00555.

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2025Plausible GMM: a quasi-bayesian approach. (2025). Chernozhukov, Victor ; Wang, Weining ; Kong, Lingwei ; Hansen, Christian. In: CeMMAP working papers. RePEc:azt:cemmap:14/25.

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2025Panel Machine Learning with Mixed-Frequency Data: Monitoring State-Level Fiscal Variables. (2025). Stevanovic, Dalibor ; Marcellino, Massimiliano ; Coulombe, Philippe Goulet. In: Working Papers. RePEc:bbh:wpaper:25-04.

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2024CLARA and CARLSON: Combination of Ensemble and Neural Network Machine Learning Methods for GDP Forecasting. (2024). Bozhechkova, Alexandra ; Dzhunkeev, Urmat. In: Russian Journal of Money and Finance. RePEc:bkr:journl:v:83:y:2024:i:3:p:45-69.

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2024Nowcasting services trade for the G7 economies. (2024). Mourougane, Annabelle ; Gonzales, Frederic ; Jaax, Alexander. In: The World Economy. RePEc:bla:worlde:v:47:y:2024:i:4:p:1336-1386.

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2025Panel Machine Learning with Mixed-Frequency Data: Monitoring State-Level Fiscal Variables. (2025). Stevanovic, Dalibor ; Marcellino, Massimiliano ; Coulombe, Philippe Goulet. In: CIRANO Working Papers. RePEc:cir:cirwor:2025s-15.

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2024Harnessing Machine Learning for Real-Time Inflation Nowcasting. (2024). Schnorrenberger, Richard ; Moura, Guilherme Valle ; Schmidt, Aishameriane. In: Working Papers. RePEc:dnb:dnbwpp:806.

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2025A novel probabilistic carbon price prediction model: Integrating the transformer framework with mixed-frequency modeling at different quartiles. (2025). Wang, Jianzhou ; Niu, Tong ; Du, Pei ; Ji, Mingyang. In: Applied Energy. RePEc:eee:appene:v:391:y:2025:i:c:s0306261925006816.

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2024Classical p-values and the Bayesian posterior probability that the hypothesis is approximately true. (2024). Kline, Brendan. In: Journal of Econometrics. RePEc:eee:econom:v:240:y:2024:i:1:s030440762400023x.

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2024On LASSO for high dimensional predictive regression. (2024). Mei, Ziwei ; Shi, Zhentao. In: Journal of Econometrics. RePEc:eee:econom:v:242:y:2024:i:2:s0304407624001556.

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2024A model specification test for semiparametric nonignorable missing data modeling. (2024). Tang, Cheng Yong. In: Econometrics and Statistics. RePEc:eee:ecosta:v:30:y:2024:i:c:p:124-132.

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2024Words or numbers? Macroeconomic nowcasting with textual and macroeconomic data. (2024). Fan, Xinyue ; Jin, Wei ; Zheng, Tingguo ; Fang, Kuangnan. In: International Journal of Forecasting. RePEc:eee:intfor:v:40:y:2024:i:2:p:746-761.

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2024Daily growth at risk: Financial or real drivers? The answer is not always the same. (2024). Uribe, Jorge ; Chuliá, Helena ; Garron, Ignacio ; Chulia, Helena. In: International Journal of Forecasting. RePEc:eee:intfor:v:40:y:2024:i:2:p:762-776.

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2024Nowcasting with panels and alternative data: The OECD weekly tracker. (2024). Woloszko, Nicolas. In: International Journal of Forecasting. RePEc:eee:intfor:v:40:y:2024:i:4:p:1302-1335.

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2024A trade-off between lives and the economy? Subsidizing dining out under the COVID-19 pandemic in Japan. (2024). Wang, Yupeng ; Shimokawa, Satoru. In: Food Policy. RePEc:eee:jfpoli:v:124:y:2024:i:c:s0306919224000368.

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2024DIY google trends indicators in social sciences: A methodological note. (2024). Sorić, Petar ; Lolić, Ivana ; Matoec, Marina. In: Technology in Society. RePEc:eee:teinso:v:77:y:2024:i:c:s0160791x24000253.

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2025From digital search to deed: Forecasting UK housing purchases in Spain using Google Trends across the Brexit disruption. (2025). Onrubia, Jorge ; Pinto, Fernando ; del Carmen, Mara. In: Working Papers. RePEc:fda:fdaddt:2025-08.

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2025Development of per Capita GDP Forecasting Model Using Deep Learning: Including Consumer Goods Index and Unemployment Rate. (2025). Na, Hyung Jong ; Lin, Chi-Ho ; Kim, Min Gyeong ; Chen, Xiao-Shan. In: Sustainability. RePEc:gam:jsusta:v:17:y:2025:i:3:p:843-:d:1572806.

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2024Taking the Pulse of Fiscal Distress: Inflation, Depreciation, and Crises. (2024). Uribe, Jorge ; Valencia, Oscar. In: IREA Working Papers. RePEc:ira:wpaper:202416.

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2024Bayesian Linear Inverse Problems in Regularity Scales with Discrete Observations. (2024). Vaart, Aad ; Gugushvili, Shota ; Yan, Dong. In: Sankhya A: The Indian Journal of Statistics. RePEc:spr:sankha:v:86:y:2024:i:1:d:10.1007_s13171-024-00342-0.

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2024An Investigation of Models for Under-Reporting in the Analysis of Violence Against Women in Italy. (2024). Polettini, Silvia ; Martino, Sara ; Arima, Serena. In: Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement. RePEc:spr:soinre:v:175:y:2024:i:3:d:10.1007_s11205-023-03225-3.

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2025Exact Mixed-Frequency Data Sampling (eMIDAS). (2025). Quinlan, Stephen Snudden. In: LCERPA Working Papers. RePEc:wlu:lcerpa:jc0157.

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2025Exploring Multisource High‐Dimensional Mixed‐Frequency Risks in the Stock Market: A Group Penalized Reverse Unrestricted Mixed Data Sampling Approach. (2025). Luo, Shunfei ; Cao, Yan ; Zhuo, Xingxuan. In: Journal of Forecasting. RePEc:wly:jforec:v:44:y:2025:i:2:p:459-473.

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2025Hierarchical Regularizers for Reverse Unrestricted Mixed Data Sampling Regressions. (2025). Hecq, Alain ; Ternes, Marie ; Wilms, Ines. In: Journal of Forecasting. RePEc:wly:jforec:v:44:y:2025:i:6:p:1946-1968.

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Works by Anna Simoni:


YearTitleTypeCited
2017Introduction to the Special Issue on Inverse Problems in Econometrics In: Annals of Economics and Statistics.
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article0
2020Adaptive Bayesian Estimation in Indirect Gaussian Sequence Space Models In: Annals of Economics and Statistics.
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article1
2015Adaptive Bayesian estimation in indirect Gaussian sequence space models.(2015) In: LIDAM Discussion Papers ISBA.
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This paper has nother version. Agregated cites: 1
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2020Adaptive Bayesian Estimation in Indirect Gaussian Sequence Space Models.(2020) In: Post-Print.
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This paper has nother version. Agregated cites: 1
paper
2021Revisiting Identification Concepts in Bayesian Analysis In: Annals of Economics and Statistics.
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article1
2021Revisiting identification concepts in Bayesian analysis.(2021) In: Papers.
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This paper has nother version. Agregated cites: 1
paper
2021Revisiting Identification Concepts in Bayesian Analysis.(2021) In: Post-Print.
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This paper has nother version. Agregated cites: 1
paper
2014Adaptive Bayesian estimation in Gaussian sequence space models In: LIDAM Discussion Papers ISBA.
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paper0
2014Adaptive Bayesian estimation in Gaussian In: LIDAM Reprints ISBA.
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paper0
2013Semi-parametric Bayesian Partially Identified Models based on Support Function In: Papers.
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paper7
2012Semi-parametric Bayesian Partially Identified Models based on Support Function.(2012) In: MPRA Paper.
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This paper has nother version. Agregated cites: 7
paper
2020Ill-posed Estimation in High-Dimensional Models with Instrumental Variables In: Papers.
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paper3
2020Ill-posed estimation in high-dimensional models with instrumental variables.(2020) In: Journal of Econometrics.
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This paper has nother version. Agregated cites: 3
article
2020Ill-posed estimation in high-dimensional models with instrumental variables.(2020) In: Post-Print.
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This paper has nother version. Agregated cites: 3
paper
2020Bayesian MIDAS Penalized Regressions: Estimation, Selection, and Prediction In: Papers.
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paper27
2021Bayesian MIDAS penalized regressions: Estimation, selection, and prediction.(2021) In: Journal of Econometrics.
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2020Bayesian MIDAS penalized regressions: Estimation, selection, and prediction.(2020) In: Post-Print.
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This paper has nother version. Agregated cites: 27
paper
2022When are Google data useful to nowcast GDP? An approach via pre-selection and shrinkage In: Papers.
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paper36
2019When are Google data useful to nowcast GDP? An approach via pre-selection and shrinkage.(2019) In: Working papers.
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2019When are Google data useful to nowcast GDP? An approach via pre-selection and shrinkage.(2019) In: Working Papers.
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2020When are Google data useful to nowcast GDP? An approach via pre-selection and shrinkage.(2020) In: EconomiX Working Papers.
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2021Bayesian Estimation and Comparison of Conditional Moment Models In: Papers.
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2019Bayesian Estimation and Comparison of Conditional Moment Models.(2019) In: Working Papers.
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2022Bayesian Estimation and Comparison of Conditional Moment Models.(2022) In: Post-Print.
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2012Regularized Posteriors in Linear Ill-Posed Inverse Problems In: Scandinavian Journal of Statistics.
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article2
2016Semiparametric Estimation of Random Coefficients in Structural Economic Models In: Boston College Working Papers in Economics.
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2017SEMIPARAMETRIC ESTIMATION OF RANDOM COEFFICIENTS IN STRUCTURAL ECONOMIC MODELS.(2017) In: Econometric Theory.
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2017SEMIPARAMETRIC ESTIMATION OF RANDOM COEFFICIENTS IN STRUCTURAL ECONOMIC MODELS.(2017) In: Post-Print.
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This paper has nother version. Agregated cites: 19
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2012Semiparametric estimation of random coefficients in structural economic models.(2012) In: CeMMAP working papers.
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2015Gaussian processes and Bayesian moment estimation In: Working Papers.
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2019Gaussian Processes and Bayesian Moment Estimation.(2019) In: Post-Print.
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2021Gaussian Processes and Bayesian Moment Estimation.(2021) In: Journal of Business & Economic Statistics.
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2016Bayesian Empirical Likelihood Estimation and Comparison of Moment Condition Models In: Working Papers.
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2016REGULARIZING PRIORS FOR LINEAR INVERSE PROBLEMS In: Econometric Theory.
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2013Regularizing Priors for Linear Inverse Problems.(2013) In: THEMA Working Papers.
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2016REGULARIZING PRIORS FOR LINEAR INVERSE PROBLEMS.(2016) In: Post-Print.
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2013Regularizing Priors for Linear Inverse Problems.(2013) In: Working Papers.
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2010Regularizing priors for linear inverse problems.(2010) In: IDEI Working Papers.
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2013Regularizing Priors for Linear Inverse Problems.(2013) In: IDEI Working Papers.
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2010Regularizing priors for linear inverse problems.(2010) In: TSE Working Papers.
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2013Regularizing Priors for Linear Inverse Problems.(2013) In: TSE Working Papers.
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2012Nonparametric estimation of an instrumental regression: A quasi-Bayesian approach based on regularized posterior In: Journal of Econometrics.
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article26
2012Nonparametric estimation of an instrumental regression: A quasi-Bayesian approach based on regularized posterior.(2012) In: Post-Print.
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2012Nonparametric estimation of an instrumental regression: A quasi-Bayesian approach based on regularized posterior.(2012) In: Post-Print.
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2010Nonparametric Estimation of An Instrumental Regression: A Quasi-Bayesian Approach Based on Regularized Posterior.(2010) In: IDEI Working Papers.
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2010Nonparametric Estimation of An Instrumental Regression: A Quasi-Bayesian Approach Based on Regularized Posterior.(2010) In: TSE Working Papers.
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2018Nonparametric estimation in case of endogenous selection In: Journal of Econometrics.
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2018Nonparametric estimation in case of endogenous selection.(2018) In: Post-Print.
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2017Nonparametric Estimation in Case of Endogenous Selection.(2017) In: Rationality and Competition Discussion Paper Series.
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2015Nonparametric estimation in case of endogenous selection.(2015) In: SFB 649 Discussion Papers.
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2019Bayesian inference for partially identified smooth convex models In: Journal of Econometrics.
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2019Bayesian inference for partially identified smooth convex models.(2019) In: Post-Print.
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This paper has nother version. Agregated cites: 9
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2018Bayesian Estimation and Comparison of Moment Condition Models In: Post-Print.
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paper22
2018Bayesian Estimation and Comparison of Moment Condition Models.(2018) In: Journal of the American Statistical Association.
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This paper has nother version. Agregated cites: 22
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2015Nonparametric Estimation in case of Endogenous Selection In: SFB 649 Discussion Papers.
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paper8
2016Bayesian Inference for Partially Identified Convex Models: Is it Valid for Frequentist Inference? In: Departmental Working Papers.
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