Anna Simoni : Citation Profile

Are you Anna Simoni?

Centre de Recherche en Économie et Statistique (CREST)

6

H index

6

i10 index

124

Citations

RESEARCH PRODUCTION:

13

Articles

42

Papers

RESEARCH ACTIVITY:

   12 years (2010 - 2022). See details.
   Cites by year: 10
   Journals where Anna Simoni has often published
   Relations with other researchers
   Recent citing documents: 46.    Total self citations: 17 (12.06 %)

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   Permalink: http://citec.repec.org/psi733
   Updated: 2023-05-27    RAS profile: 2022-04-29    
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Relations with other researchers

Works with:

Shin, Minchul (5)

Ferrara, Laurent (4)

Mogliani, Matteo (3)

hoderlein, stefan (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)

Giacomini, Raffaella (4)

Escanciano, Juan Carlos (4)

Centorrino, Samuele (4)

Forbes, Catherine (3)

Georgiadis, Georgios (3)

Sinclair, Tara (3)

Anderson, Heather (3)

hoderlein, stefan (3)

Larson, William (3)

Cites to:

Chernozhukov, Victor (22)

Chen, Xiaohong (21)

Newey, Whitney (13)

Molinari, Francesca (13)

Giannone, Domenico (11)

Reichlin, Lucrezia (10)

Andrews, Donald (10)

Tamer, Elie (9)

Beresteanu, Arie (8)

Bontemps, Christian (8)

Magnac, Thierry (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'Économie Industrielle (IDEI), Toulouse3
LIDAM Discussion Papers ISBA / Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA)2

Recent works citing Anna Simoni (2022 and 2021)

YearTitle of citing document
2021Machine Learning Time Series Regressions With an Application to Nowcasting. (2021). Striaukas, Jonas ; Ghysels, Eric ; Babii, Andrii. In: LIDAM Discussion Papers LFIN. RePEc:ajf:louvlf:2021004.

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2021Is completeness necessary? Estimation in nonidentified linear models. (2020). Babii, Andrii ; FLORENS, Jean-Pierre. In: Papers. RePEc:arx:papers:1709.03473.

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2021Nonclassical Measurement Error in the Outcome Variable. (2020). Martin, Stephan ; Breunig, Christoph. In: Papers. RePEc:arx:papers:2009.12665.

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2022Developments on the Bayesian Structural Time Series Model: Trending Growth. (2020). Kohns, David ; Bhattacharjee, Arnab. In: Papers. RePEc:arx:papers:2011.00938.

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2021The Proper Use of Google Trends in Forecasting Models. (2021). Pires, Henrique F ; Medeiros, Marcelo C. In: Papers. RePEc:arx:papers:2104.03065.

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2023Testing 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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2022Fast Instrument Learning with Faster Rates. (2022). Zhu, Jun ; Zhou, Yuhao ; Wang, Ziyu. In: Papers. RePEc:arx:papers:2205.10772.

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2022Bayesian Mixed-Frequency Quantile Vector Autoregression: Eliciting tail risks of Monthly US GDP. (2022). Zhu, Dan ; Rossini, Luca ; Poon, Aubrey ; Iacopini, Matteo. In: Papers. RePEc:arx:papers:2209.01910.

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2022Spectral Representation Learning for Conditional Moment Models. (2022). Scholkopf, Bernhard ; Zhu, Jun ; Li, Yueru ; Luo, Yucen ; Wang, Ziyu. In: Papers. RePEc:arx:papers:2210.16525.

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2023Double 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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2022On LASSO for High Dimensional Predictive Regression. (2022). Shi, Zhentao ; Mei, Ziwei. In: Papers. RePEc:arx:papers:2212.07052.

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2023Hierarchical 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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2022.

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2022Obtaining consistent time series from Google Trends. (2022). Martínez, Isabel ; Sax, Christoph ; Martinez, Isabel Z ; Indergand, Ronald ; Eichenauer, Vera Z. In: Economic Inquiry. RePEc:bla:ecinqu:v:60:y:2022:i:2:p:694-705.

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2021EURQ: 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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2022Quantifying domestic violence in times of crisis: An internet search activity?based measure for the COVID?19 pandemic. (2022). Rainer, Helmut ; Siuda, Fabian ; Anderberg, Dan. In: Journal of the Royal Statistical Society Series A. RePEc:bla:jorssa:v:185:y:2022:i:2:p:498-518.

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2022Bayesian estimation and comparison of conditional moment models. (2022). Simoni, Anna ; Shin, Minchul ; Chib, Siddhartha. In: Journal of the Royal Statistical Society Series B. RePEc:bla:jorssb:v:84:y:2022:i:3:p:740-764.

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2021Bayesian 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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2022Constructing GDP Nowcasting Models Using Alternative Data. (2022). Nakazawa, Takashi. In: Bank of Japan Working Paper Series. RePEc:boj:bojwps:wp22e09.

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2022Locally- but not Globally-identified SVARs. (2022). Kitagawa, Toru ; Bacchiocchi, Emanuele. In: Working Papers. RePEc:bol:bodewp:wp1171.

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2021What goes around comes around: How large are spillbacks from US monetary policy?. (2021). Georgiadis, Georgios ; Schumann, Ben ; Breitenlechner, Max. In: GRU Working Paper Series. RePEc:cth:wpaper:gru_2021_003.

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2021What goes around comes around: How large are spillbacks from US monetary policy?. (2021). Georgiadis, Georgios ; Schumann, Ben ; Breitenlechner, Max. In: Working Paper Series. RePEc:ecb:ecbwps:20212613.

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2022The dimension of green economy: Culture viewpoint. (2022). Lee, Chien-Chiang ; Ho, Shan-Ju ; Wang, Chih-Wei. In: Economic Analysis and Policy. RePEc:eee:ecanpo:v:74:y:2022:i:c:p:122-138.

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2021Nonparametric regression with selectively missing covariates. (2021). Haan, Peter ; Breunig, Christoph. In: Journal of Econometrics. RePEc:eee:econom:v:223:y:2021:i:1:p:28-52.

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2022Constrained estimation using penalization and MCMC. (2022). Leung, Michael ; Li, Jessie ; Hong, Han ; Gallant, Ronald A. In: Journal of Econometrics. RePEc:eee:econom:v:228:y:2022:i:1:p:85-106.

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2022Asymptotically valid Bayesian inference in the presence of distributional misspecification in VAR models. (2022). Petrova, Katerina. In: Journal of Econometrics. RePEc:eee:econom:v:230:y:2022:i:1:p:154-182.

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2022Posterior-based Wald-type statistics for hypothesis testing. (2022). Yu, Jun ; Zeng, Tao ; JunYu, ; Li, Yong ; Liu, Xiaobin. In: Journal of Econometrics. RePEc:eee:econom:v:230:y:2022:i:1:p:83-113.

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2021Nonparametric Instrumental Variable Estimation of Binary Response Models with Continuous Endogenous Regressors. (2021). Centorrino, Samuele ; FLORENS, Jean-Pierre. In: Econometrics and Statistics. RePEc:eee:ecosta:v:17:y:2021:i:c:p:35-63.

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2022New evidence on Bayesian tests of global factor pricing models. (2022). , Keith ; Wang, Yan ; Qiao, Zhuo. In: Journal of Empirical Finance. RePEc:eee:empfin:v:68:y:2022:i:c:p:160-172.

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2022Forecasting unemployment insurance claims in realtime with Google Trends. (2022). Seo, Boyoung ; Sacks, Daniel W ; Fogarty, Michael ; Butters, Andrew R ; Brave, Scott A ; Aaronson, Daniel. In: International Journal of Forecasting. RePEc:eee:intfor:v:38:y:2022:i:2:p:567-581.

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2022High-frequency monitoring of growth at risk. (2022). Sahuc, Jean-Guillaume ; Mogliani, Matteo ; Ferrara, Laurent. In: International Journal of Forecasting. RePEc:eee:intfor:v:38:y:2022:i:2:p:582-595.

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2022Nowcasting unemployment insurance claims in the time of COVID-19. (2022). Sinclair, Tara ; Larson, William D. In: International Journal of Forecasting. RePEc:eee:intfor:v:38:y:2022:i:2:p:635-647.

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2021Economic sentiment during the COVID pandemic: Evidence from search behaviour in the EU. (2021). van der Wielen, Wouter ; Barrios, Salvador. In: Journal of Economics and Business. RePEc:eee:jebusi:v:115:y:2021:i:c:s0148619520304148.

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2022Semiparametric 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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2021Forecasting Low Frequency Macroeconomic Events with High Frequency Data. (2020). Owyang, Michael ; Galvão, Ana ; Galvo, Ana B. In: Working Papers. RePEc:fip:fedlwp:88704.

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2022When 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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2021What goes around comes around: How large are spillbacks from US monetary policy?. (2021). Georgiadis, Georgios ; Schumann, Ben ; Breitenlechner, Max. In: Working Papers. RePEc:inn:wpaper:2021-05.

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2022Monitoring daily unemployment at risk.. (2022). Uribe, Jorge M ; Garron, Ignacio ; Chulia, Helena. In: IREA Working Papers. RePEc:ira:wpaper:202211.

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2021Approximating Bayes in the 21st Century. (2021). Robert, Christian P ; Frazier, David T ; Martin, Gael M. In: Monash Econometrics and Business Statistics Working Papers. RePEc:msh:ebswps:2021-24.

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2022Nowcasting Growth using Google Trends Data: A Bayesian Structural Time Series Model. (2022). Kohns, David ; Bhattacharjee, Arnab. In: National Institute of Economic and Social Research (NIESR) Discussion Papers. RePEc:nsr:niesrd:538.

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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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2021Unified approach for regression models with nonmonotone missing at random data. (2021). Liu, Meng ; Zhao, Yang. In: AStA Advances in Statistical Analysis. RePEc:spr:alstar:v:105:y:2021:i:1:d:10.1007_s10182-020-00389-y.

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2022Optimal Decision Rules for Weak GMM. (2022). Mikusheva, Anna ; Andrews, Isaiah. In: Econometrica. RePEc:wly:emetrp:v:90:y:2022:i:2:p:715-748.

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2021Early child development and parents labor supply. (2021). Schmidpeter, Bernhard ; Laffers, Luka. In: Journal of Applied Econometrics. RePEc:wly:japmet:v:36:y:2021:i:2:p:190-208.

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2022Forecasting 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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2022Nowcasting 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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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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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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2020Ill-posed estimation in high-dimensional models with instrumental variables.(2020) In: Post-Print.
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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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2015Nonparametric Estimation in case of Endogenous Selection.(2015) In: SFB 649 Discussion Papers.
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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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2016Bayesian Inference for Partially Identified Convex Models: Is it Valid for Frequentist Inference? In: Departmental Working Papers.
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