Anna Simoni : Citation Profile


Are you Anna Simoni?

Centre de Recherche en Économie et Statistique (CREST)

8

H index

5

i10 index

171

Citations

RESEARCH PRODUCTION:

13

Articles

43

Papers

RESEARCH ACTIVITY:

   12 years (2010 - 2022). See details.
   Cites by year: 14
   Journals where Anna Simoni has often published
   Relations with other researchers
   Recent citing documents: 42.    Total self citations: 18 (9.52 %)

MORE DETAILS IN:
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   Permalink: http://citec.repec.org/psi733
   Updated: 2024-12-03    RAS profile: 2023-02-24    
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Relations with other researchers


Works with:

Ferrara, Laurent (4)

Mogliani, Matteo (3)

Shin, Minchul (3)

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)

Shin, Minchul (5)

Centorrino, Samuele (4)

Giacomini, Raffaella (4)

Babii, Andrii (4)

Kline, Brendan (4)

Escanciano, Juan Carlos (4)

Sinclair, Tara (3)

Georgiadis, Georgios (3)

Mogliani, Matteo (3)

Cites to:

Chen, Xiaohong (26)

Chernozhukov, Victor (24)

Newey, Whitney (14)

Molinari, Francesca (13)

Giannone, Domenico (11)

Reichlin, Lucrezia (10)

Andrews, Donald (10)

Tamer, Elie (9)

Magnac, Thierry (8)

Renault, Eric (8)

Bontemps, Christian (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
IDEI Working Papers / Institut d'Économie Industrielle (IDEI), Toulouse3
Working Papers / Center for Research in Economics and Statistics3
TSE Working Papers / Toulouse School of Economics (TSE)3
LIDAM Discussion Papers ISBA / Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA)2

Recent works citing Anna Simoni (2024 and 2023)


YearTitle of citing document
2024Identifying Multidiemsnional Adverse Selection Models. (2015). Aryal, Gaurab. In: Papers. RePEc:arx:papers:1411.6250.

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2024Testing Overidentifying Restrictions with High-Dimensional Data and Heteroskedasticity. (2022). Mei, Ziwei ; Guo, Zijian ; Fan, Qingliang. In: Papers. RePEc:arx:papers:2205.00171.

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2024Double Robust Bayesian Inference on Average Treatment Effects. (2022). Yu, Zhengfei ; Liu, Ruixuan ; Breunig, Christoph. In: Papers. RePEc:arx:papers:2211.16298.

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2024On LASSO for High Dimensional Predictive Regression. (2022). Shi, Zhentao ; Mei, Ziwei. In: Papers. RePEc:arx:papers:2212.07052.

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2024Hierarchical Regularizers for Reverse Unrestricted Mixed Data Sampling Regressions. (2023). Hecq, Alain ; Wilms, Ines ; Ternes, Marie. In: Papers. RePEc:arx:papers:2301.10592.

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2024Reparametrization and the Semiparametric Bernstein-von-Mises Theorem. (2023). Walker, Christopher D. In: Papers. RePEc:arx:papers:2306.03816.

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2024Factor-augmented sparse MIDAS regression for nowcasting. (2023). Striaukas, Jonas ; Beyhum, Jad. In: Papers. RePEc:arx:papers:2306.13362.

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2023Econometrics of Machine Learning Methods in Economic Forecasting. (2023). Striaukas, Jonas ; Ghysels, Eric ; Babii, Andrii. In: Papers. RePEc:arx:papers:2308.10993.

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2023High Dimensional Time Series Regression Models: Applications to Statistical Learning Methods. (2023). Katsouris, Christis. In: Papers. RePEc:arx:papers:2308.16192.

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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 Forecasting. (2024). Mogliani, Matteo ; Simoni, Anna. In: Papers. RePEc:arx:papers:2404.02671.

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2023Nowcasting Key Australian Macroeconomic Variables. (2023). Anthonisz, Michael. In: Australian Economic Review. RePEc:bla:ausecr:v:56:y:2023:i:3:p:371-380.

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2024EURQ: A New Web Search?based Uncertainty Index. (2021). Golinelli, Roberto ; Bontempi, Maria ; Frigeri, Michele ; Squadrani, Matteo. In: Economica. RePEc:bla:econom:v:88:y:2021:i:352:p:969-1015.

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2024Bayesian criterion?based variable selection. (2021). Ghosh, Santu ; Basu, Sanjib ; Maity, Arnab Kumar. In: Journal of the Royal Statistical Society Series C. RePEc:bla:jorssc:v:70:y:2021:i:4:p:835-857.

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2023Bayesian mixed-frequency quantile vector autoregression: Eliciting tail risks of monthly US GDP. (2023). Rossini, Luca ; Poon, Aubrey ; Iacopini, Matteo ; Zhu, Dan. In: Journal of Economic Dynamics and Control. RePEc:eee:dyncon:v:157:y:2023:i:c:s016518892300163x.

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2023Time-varying unobserved heterogeneity in earnings shocks. (2023). Botosaru, Irene. In: Journal of Econometrics. RePEc:eee:econom:v:235:y:2023:i:2:p:1378-1393.

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2023Dynamic discrete choice models with incomplete data: Sharp identification. (2023). Sasaki, Yuya ; Hu, Yingyao ; Xin, YI ; Takahashi, Yuya. In: Journal of Econometrics. RePEc:eee:econom:v:236:y:2023:i:1:s0304407623001550.

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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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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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2023Nowcasting growth using Google Trends data: A Bayesian Structural Time Series model. (2023). Bhattacharjee, Arnab ; Kohns, David. In: International Journal of Forecasting. RePEc:eee:intfor:v:39:y:2023:i:3:p:1384-1412.

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2023Testing big data in a big crisis: Nowcasting under Covid-19. (2023). Ratto, Marco ; Pericoli, Filippo Maria ; Barbaglia, Luca ; Pezzoli, Luca Tiozzo ; Onorante, Luca ; Frattarolo, Lorenzo. In: International Journal of Forecasting. RePEc:eee:intfor:v:39:y:2023:i:4:p:1548-1563.

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2023Forecasting GDP growth rates in the United States and Brazil using Google Trends. (2023). Clements, Michael ; Urquhart, Andrew ; Bantis, Evripidis. In: International Journal of Forecasting. RePEc:eee:intfor:v:39:y:2023:i:4:p:1909-1924.

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2024Words or numbers? Macroeconomic nowcasting with textual and macroeconomic data. (2024). Fang, Kuangnan ; Jin, Wei ; Zheng, Tingguo. 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 ; 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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2023Semiparametric Bayesian doubly robust causal estimation. (2022). McCoy, Emma J ; Graham, Daniel J ; Luo, YU. In: LSE Research Online Documents on Economics. RePEc:ehl:lserod:117944.

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2023When are Google Data Useful to Nowcast GDP? An Approach via Preselection and Shrinkage. (2022). Simoni, Anna ; Ferrara, Laurent. In: Post-Print. RePEc:hal:journl:hal-03919944.

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2023Approximate Bayesian Computation for Partially Identified Models. (2023). Alvarez, Luis Antonio. In: MPRA Paper. RePEc:pra:mprapa:117339.

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2023Variable selection for categorical response: a comparative study. (2023). Das, Kiranmoy ; Kundu, Damitri ; Sen, Sweata. In: Computational Statistics. RePEc:spr:compst:v:38:y:2023:i:2:d:10.1007_s00180-022-01260-1.

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2024Forecasting low?frequency macroeconomic events with high?frequency data. (2022). Owyang, Michael ; Galvo, Ana Beatriz. In: Journal of Applied Econometrics. RePEc:wly:japmet:v:37:y:2022:i:7:p:1314-1333.

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2024Nowcasting world GDP growth with high?frequency data. (2022). Meunier, Baptiste ; Jardet, Caroline. In: Journal of Forecasting. RePEc:wly:jforec:v:41:y:2022:i:6:p:1181-1200.

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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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2020Adaptive Bayesian Estimation in Indirect Gaussian Sequence Space Models In: Annals of Economics and Statistics.
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2015Adaptive Bayesian estimation in indirect Gaussian sequence space models.(2015) In: LIDAM Discussion Papers ISBA.
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2020Adaptive Bayesian Estimation in Indirect Gaussian Sequence Space Models.(2020) In: Post-Print.
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2021Revisiting Identification Concepts in Bayesian Analysis In: Annals of Economics and Statistics.
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article0
2021Revisiting identification concepts in Bayesian analysis.(2021) In: Papers.
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2021Revisiting Identification Concepts in Bayesian Analysis.(2021) In: Post-Print.
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2014Adaptive Bayesian estimation in Gaussian sequence space models In: LIDAM Discussion Papers ISBA.
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2014Adaptive Bayesian estimation in Gaussian In: LIDAM Reprints ISBA.
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2013Semi-parametric Bayesian Partially Identified Models based on Support Function In: Papers.
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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
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2020Ill-posed Estimation in High-Dimensional Models with Instrumental Variables In: Papers.
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2020Ill-posed estimation in high-dimensional models with instrumental variables.(2020) In: Journal of Econometrics.
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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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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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2022When are Google data useful to nowcast GDP? An approach via pre-selection and shrinkage In: 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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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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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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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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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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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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2018Bayesian Estimation and Comparison of Moment Condition Models In: Post-Print.
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2018Bayesian Estimation and Comparison of Moment Condition Models.(2018) In: Journal of the American Statistical Association.
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2015Nonparametric Estimation in case of Endogenous Selection In: SFB 649 Discussion Papers.
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2016Bayesian Inference for Partially Identified Convex Models: Is it Valid for Frequentist Inference? In: Departmental Working Papers.
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