Catherine Doz : Citation Profile

Are you Catherine Doz?

Université Paris 1 (Panthéon-Sorbonne) (50% share)
Paris School of Economics (50% share)

5

H index

3

i10 index

827

Citations

RESEARCH PRODUCTION:

7

Articles

9

Papers

RESEARCH ACTIVITY:

   21 years (1991 - 2012). See details.
   Cites by year: 39
   Journals where Catherine Doz has often published
   Relations with other researchers
   Recent citing documents: 52.    Total self citations: 7 (0.84 %)

MORE DETAILS IN:
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   Permalink: http://citec.repec.org/pdo117
   Updated: 2024-11-04    RAS profile: 2019-12-05    
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Relations with other researchers

Works with:

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

Is cited by:

Giannone, Domenico (43)

Barigozzi, Matteo (30)

Ferrara, Laurent (29)

Koopman, Siem Jan (28)

Reichlin, Lucrezia (26)

Luciani, Matteo (21)

Poncela, Pilar (18)

Marcellino, Massimiliano (18)

Modugno, Michele (17)

Darné, Olivier (16)

Ruiz, Esther (16)

Cites to:

Reichlin, Lucrezia (16)

Giannone, Domenico (12)

Sentana, Enrique (9)

Engle, Robert (9)

Rothschild, Michael (6)

Shephard, Neil (6)

Hansen, Lars (6)

Forni, Mario (5)

Fiorentini, Gabriele (5)

Nelson, Charles (4)

Sala, Luca (4)

Main data

Where Catherine Doz has published?

Journals with more than one article published# docs
conomie et Prvision4

Working Papers Series with more than one paper published# docs
THEMA Working Papers / THEMA (THorie Economique, Modlisation et Applications), Universit de Cergy-Pontoise3
CEPR Discussion Papers / C.E.P.R. Discussion Papers2

Recent works citing Catherine Doz (2024 and 2023)

YearTitle of citing document
2024Quasi Maximum Likelihood Estimation and Inference of Large Approximate Dynamic Factor Models via the EM algorithm. (2019). Barigozzi, Matteo ; Luciani, Matteo. In: Papers. RePEc:arx:papers:1910.03821.

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2023Factor-augmented tree ensembles. (2021). Pellegrino, Filippo. In: Papers. RePEc:arx:papers:2111.14000.

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2023Estimation and Inference for High Dimensional Factor Model with Regime Switching. (2022). Wang, FA ; Urga, Giovanni. In: Papers. RePEc:arx:papers:2205.12126.

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2024Modelling Large Dimensional Datasets with Markov Switching Factor Models. (2022). Massacci, Daniele ; Barigozzi, Matteo. In: Papers. RePEc:arx:papers:2210.09828.

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2024Reservoir Computing for Macroeconomic Forecasting with Mixed Frequency Data. (2022). Ortega, Juan-Pablo ; van Huellen, Sophie ; Hirt, Marcel ; Grigoryeva, Lyudmila ; Dellaportas, Petros ; Ballarin, Giovanni. In: Papers. RePEc:arx:papers:2211.00363.

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2023Constructing High Frequency Economic Indicators by Imputation. (2023). Scanlan, Susannah ; Ng, Serena. In: Papers. RePEc:arx:papers:2303.01863.

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2024Quasi Maximum Likelihood Estimation of High-Dimensional Factor Models. (2023). Barigozzi, Matteo. In: Papers. RePEc:arx:papers:2303.11777.

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2023sparseDFM: An R Package to Estimate Dynamic Factor Models with Sparse Loadings. (2023). Gibberd, Alex ; Chan, Tak-Shing ; Mosley, Luke. In: Papers. RePEc:arx:papers:2303.14125.

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2024GDP nowcasting with artificial neural networks: How much does long-term memory matter?. (2023). Hadh, D'Aniel. In: Papers. RePEc:arx:papers:2304.05805.

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2023Does Principal Component Analysis Preserve the Sparsity in Sparse Weak Factor Models?. (2023). Zhang, Yonghui ; Wei, Jie. In: Papers. RePEc:arx:papers:2305.05934.

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2023Nowcasting with signature methods. (2023). Mantoan, Giulia ; Malpass, Will ; Lui, Silvia ; Cohen, Samuel N ; Yang, Lingyi ; Small, Emma ; Scott, Craig ; Reeves, Andrew ; Nesheim, Lars. In: Papers. RePEc:arx:papers:2305.10256.

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2024Asymptotic equivalence of Principal Component and Quasi Maximum Likelihood estimators in Large Approximate Factor Models. (2023). Barigozzi, Matteo. In: Papers. RePEc:arx:papers:2307.09864.

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2024Reconciling the Theory of Factor Sequences. (2023). Deistler, Manfred ; Rust, Christoph ; Gersing, Philipp. In: Papers. RePEc:arx:papers:2307.10067.

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2024Dynamic Factor Models: a Genealogy. (2023). Hallin, Marc ; Barigozzi, Matteo. In: Papers. RePEc:arx:papers:2310.17278.

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2023Monitoring Financial Conditions and Downside Risk to Economic Activity in Australia. (2023). Hartigan, Luke ; Wright, Michelle. In: The Economic Record. RePEc:bla:ecorec:v:99:y:2023:i:325:p:253-287.

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2023Economic activity and C02 emissions in Spain. (2023). Ortega, Esther Ruiz ; Poncela, Maria Pilar ; de Juan, Aranzazu. In: DES - Working Papers. Statistics and Econometrics. WS. RePEc:cte:wsrepe:37975.

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2023Dynamic Factor Models: a Genealogy. (2023). Hallin, Marc ; Barigozzi, Matteo. In: Working Papers ECARES. RePEc:eca:wpaper:2013/364359.

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2023Nowcasting employment in the euro area. (2023). Toth, Mate Barnabas ; Bodnar, Katalin ; Belousova, Irina ; Babura, Marta. In: Working Paper Series. RePEc:ecb:ecbwps:20232815.

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2023Measuring economic activity in the presence of superstar MNEs. (2023). Nikolaishvili, Giorgi ; Economides, Philip. In: Economics Letters. RePEc:eee:ecolet:v:226:y:2023:i:c:s0165176523001027.

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2023Ignoring cross-correlated idiosyncratic components when extracting factors in dynamic factor models. (2023). Ruiz, Esther ; Poncela, Pilar ; Fresoli, Diego. In: Economics Letters. RePEc:eee:ecolet:v:230:y:2023:i:c:s0165176523002719.

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2023Large dimensional latent factor modeling with missing observations and applications to causal inference. (2023). Pelger, Markus ; Xiong, Ruoxuan. In: Journal of Econometrics. RePEc:eee:econom:v:233:y:2023:i:1:p:271-301.

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2024Inferential theory for generalized dynamic factor models. (2024). Hallin, Marc ; Barigozzi, Matteo ; Zaffaroni, Paolo ; Luciani, Matteo. In: Journal of Econometrics. RePEc:eee:econom:v:239:y:2024:i:2:s0304407623000593.

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2023High-Dimensional Dynamic Factor Models: A Selective Survey and Lines of Future Research. (2023). Anderson, Brian ; Deistler, Manfred ; Lippi, Marco. In: Econometrics and Statistics. RePEc:eee:ecosta:v:26:y:2023:i:c:p:3-16.

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2024One scheme fits all: A central fiscal capacity for the EMU targeting eurozone, national and regional shocks. (2024). Cimadomo, Jacopo ; van Spronsen, Josha. In: European Economic Review. RePEc:eee:eecrev:v:165:y:2024:i:c:s0014292124000503.

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2023Nowcasting German GDP: Foreign factors, financial markets, and model averaging. (2023). Senftleben-Konig, Charlotte ; Reichlin, Lucrezia ; Hasenzagl, Thomas ; Andreini, Paolo ; Strohsal, Till. In: International Journal of Forecasting. RePEc:eee:intfor:v:39:y:2023:i:1:p:298-313.

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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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2024Back to the present: Learning about the euro area through a now-casting model. (2024). Giannone, Domenico ; Modugno, Michele ; Cascaldi-Garcia, Danilo. In: International Journal of Forecasting. RePEc:eee:intfor:v:40:y:2024:i:2:p:661-686.

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2024Estimating shadow policy rates in a small open economy and the role of foreign factors. (2024). Kirchner, Markus ; Fornero, Jorge ; Molina, Carlos. In: Journal of International Money and Finance. RePEc:eee:jimfin:v:140:y:2024:i:c:s0261560623001730.

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2023Oil shocks and investor attention. (2023). Panagiotidis, Theodore ; Bampinas, Georgios ; Papapanagiotou, Georgios. In: The Quarterly Review of Economics and Finance. RePEc:eee:quaeco:v:87:y:2023:i:c:p:68-81.

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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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2023Estimation and Inference for High Dimensional Factor Model with Regime Switching. (2023). Wang, FA ; Urga, Giovanni. In: MPRA Paper. RePEc:pra:mprapa:117012.

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2023Forecasting GDP with many predictors in a small open economy: forecast or information pooling?. (2023). Han, Daniel ; Fei, Yijie ; Chow, Hwee Kwan. In: Empirical Economics. RePEc:spr:empeco:v:65:y:2023:i:2:d:10.1007_s00181-022-02356-9.

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2023Dissecting Brazilian agriculture business cycles in high-dimensional and time-irregular span contexts. (2023). Castro, Nicole Renno ; Maranho, Andre Nunes. In: Empirical Economics. RePEc:spr:empeco:v:65:y:2023:i:4:d:10.1007_s00181-023-02391-0.

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2023The D-model for GDP nowcasting. (2023). Degiannakis, Stavros. In: Swiss Journal of Economics and Statistics. RePEc:spr:sjecst:v:159:y:2023:i:1:d:10.1186_s41937-023-00109-8.

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2023Slow Expectation-Maximization Convergence in Low-Noise Dynamic Factor Models. (2023). van Dijk, Dick ; Opschoor, Daan. In: Tinbergen Institute Discussion Papers. RePEc:tin:wpaper:20230018.

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2023Likelihood‐based dynamic factor analysis for measurement and forecasting. (2015). Koopman, Siem Jan ; Jungbacker, Borus . In: Econometrics Journal. RePEc:wly:emjrnl:v:18:y:2015:i:2:p:c1-c21.

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2023Global financial uncertainty. (2023). Castelnuovo, Efrem ; Caggiano, Giovanni. In: Journal of Applied Econometrics. RePEc:wly:japmet:v:38:y:2023:i:3:p:432-449.

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2023Identifying and interpreting the factors in factor models via sparsity: Different approaches. (2023). Doz, Catherine ; Despois, Thomas. In: Journal of Applied Econometrics. RePEc:wly:japmet:v:38:y:2023:i:4:p:533-555.

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2023Nowcasting the state of the Italian economy: The role of financial markets. (2023). Silvestrini, Andrea ; Ceci, Donato. In: Journal of Forecasting. RePEc:wly:jforec:v:42:y:2023:i:7:p:1569-1593.

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Works by Catherine Doz:

YearTitleTypeCited
2004Conditionally Heteroskedastic Factor Models: Identification and Instrumental Variables Estimation In: CIRANO Working Papers.
[Full Text][Citation analysis]		paper6
2004Conditionaly Heteroskedastic Factor Models : Identificationand Instrumental variables Estmation.(2004) In: THEMA Working Papers.
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This paper has nother version. Agregated cites: 6		paper
1993Var models and short term forecasting In: CEPREMAP Working Papers (Couverture Orange).
[Full Text][Citation analysis]		paper0
2006A Quasi Maximum Likelihood Approach for Large Approximate Dynamic Factor Models In: CEPR Discussion Papers.
[Full Text][Citation analysis]		paper411
2008A Quasi Maximum Likelihood Approach for Large Approximate Dynamic Factor Models.(2008) In: Working Papers ECARES.
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This paper has nother version. Agregated cites: 411		paper
2012A Quasi–Maximum Likelihood Approach for Large, Approximate Dynamic Factor Models.(2012) In: The Review of Economics and Statistics.
[Full Text][Citation analysis]
This paper has nother version. Agregated cites: 411		article
2007A Two-Step Estimator for Large Approximate Dynamic Factor Models Based on Kalman Filtering In: CEPR Discussion Papers.
[Full Text][Citation analysis]		paper380
2011A two-step estimator for large approximate dynamic factor models based on Kalman filtering.(2011) In: Journal of Econometrics.
[Full Text][Citation analysis]
This paper has nother version. Agregated cites: 380		article
2006A Two-step estimator for large approximate dynamic factor models based on Kalman filtering.(2006) In: THEMA Working Papers.
[Full Text][Citation analysis]
This paper has nother version. Agregated cites: 380		paper
1998Analyse factorielle dynamique : Test du nombre de facteurs, estimation, et application à lenquête de conjoncture dans lindustrie In: THEMA Working Papers.
[Citation analysis]		paper2
1998Analyse factorielle dynamique: test du nombre de facteurs, estimation, et application a lenquete de conjoncture dans lindustrie..(1998) In: Paris X - Nanterre, U.F.R. de Sc. Ec. Gest. Maths Infor..
[Citation analysis]
This paper has nother version. Agregated cites: 2		paper
1991Vingt ans de prévisions macro-économiques : une évaluation sur données françaises In: Économie et Prévision.
[Full Text][Citation analysis]		article5
1992Modèles VAR et prévisions à court terme In: Économie et Prévision.
[Full Text][Citation analysis]		article4
1993Note sur les tests de rationalité des prévisions In: Économie et Prévision.
[Full Text][Citation analysis]		article2
1995Décomposition tendance-cycle : estimations par des méthodes statistiques univariées In: Économie et Prévision.
[Full Text][Citation analysis]		article1
2006Factor Stochastic Volatility in Mean Models: A GMM Approach In: Econometric Reviews.
[Full Text][Citation analysis]		article16

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