They have used and cited Grocer

Thanks to all!
If you use grocer in your work, do not hesitate to do like them. The citation could be as follows:
Dubois É. and Michaux E. (2020): "Grocer 1.82: an econometric toolbox for Scilab", available at http://grocer.toolbox.free.fr/grocer.html

Abberger K. (2008), Ein Druckmesser für den deutschen Arbeitsmarkt Klaus Abberger, IFO Schnelldienst 61 (10), 2008, p. 19-22, https://www.ifo.de/DocDL/ifosd_2008_9_3.pdf.

Abberger K. und W. Nierhaus (2008), Markov-Switching und IFO Geschäftsklima, IFO Schnelldienst 61 (10), 2008, p. 25-30, https://www.ifo.de/DocDL/ifosd_2008_10_6.pdf;h=repec:ces:ifosdt:v:61:y:2008:i:10:p:25-30.

Abberger K. und W. Nierhaus (2010), Markov-Switching and the Ifo Business : The Ifo Business Cycle Traffic Lights, CESIFO WORKING PAPER NO. 2936 https://www.cesifo-group.de/pls/guestci/download/CESifo%20Working%20Papers%202010/CESifo%20Working%20Papers%20January%202010/cesifo1_wp2936.pdf.

Abberger K. und W. Nierhaus (2011), Drei Monitorsysteme zur Analyse der sächsischen Industriekonjunktur, mimeo https://www.ifo.de/en/node/33631.

Abberger K. und W. Nierhaus (2015), ifo Konjunkturampel revisited, mimeo https://www.ifo.de/DocDL/ifosd_2015_05_4.pdf.

Antipa P., Barhoumi K., Brunhes-Lesage V. and Darnée O. (2012): Nowcasting German GDP: a Comparison of Bridge and Factor Models, Banque de France, document de travail n°401, http://www.banque-france.fr/uploads/tx_bdfdocumentstravail/DT_401_01.pdf.

Bardaji J and Tallet F. (2008), Detecting Economic Regimes in France: a Turning Point Index using Mixed Frequency Data, 28th Annual international Symposium of Forecasting, Nice https://www.insee.fr/fr/statistiques/1380902.

Baxa J., Horvath R. and Vasicek B. (2013), How Does Monetary Policy Change? Evidence on Inflation Targeting Countries, Macroeconomic Dynamics, Volume 18, Issue 3. https://www.cambridge.org/core/journals/macroeconomic-dynamics/article/how-does-monetary-policy-change-evidence-on-inflationtargeting-countries/B93D54677D3FA8A35F48E75BB1CE62F2, also available as CNB WORKING PAPER SERIES, n° 3/2011. https://www.cnb.cz/export/sites/cnb/en/economic-research/.galleries/research_publications/cnb_wp/cnbwp_2011_03.pdf

Baxa J., Horvath R. and Vasicek B. (2011), Time-Varying Monetary-Policy Rules and Financial Stress: Does Financial Instability Matter for Monetary Policy?, Journal of Financial Stability, http://www.sciencedirect.com/science/article/pii/S1572308911000520 , also available as CNB WORKING PAPER SERIES, n° 3/2011. https://www.cnb.cz/export/sites/cnb/en/economic-research/.galleries/research_publications/cnb_wp/cnbwp_2011_03.pdf

Bessec M. (2010), Étalonnages du taux de croissance du PIB français sur la base des enquêtes de conjoncture, Économie et Prévision, n°193. http://basepub.dauphine.fr/bitstream/handle/123456789/10077/Etalonnage_10.pdf?sequence=1.

Barhoumi K., V. Brunhes-Lesage, O. Darné, L. Ferrara, B. Pluyaud and B. Rouvreau (2008), Monthly forecasting of French GDP: A revised version of the OPTIM model, Banque de France, Note d'études et de recherche n° 222. http://www.banque-france.fr/gb/publications/telechar/ner/ner222.pdf.

Biau O. and D'ELia A. (2010), Euro area GDP forecast using large survey datasets. A random forest approach, Euroindicator working papers. https://unstats.un.org/unsd/nationalaccount/workshops/2010/moscow/AC223-S73Bk4.PDF.

Bosch A. and Ruch F. (2012), An Alternative Business Cycle Dating Procedure for South Africa, Economic Research Southern Africa Working Paper, n° 267. http://www.econrsa.org/system/files/publications/working_papers/wp267.pdf.

Brahami A. (2005), Taux d'épargne : quel lien avec les indicateurs de confiance de l'Insee ?, Diagnostics Prévisions et Analyses Économiques, n°69, https://www.tresor.economie.gouv.fr/Articles/a15af222-93b3-41b4-a6c0-106090423454/files/0901cc9a-b1da-4ce7-96c6-376ed53e9152

Brunhes-Lesage V. and Darné O. (2012), Nowcasting the French index of industrial production: A comparison from bridge and factor models, Economic Modelling, volume 29, Issue 6, http://www.sciencedirect.com/science/article/pii/S0264999312001046.

Buss G. (2009), Comparing forecasts of Latvia's GDP using simple seasonal ARIMA models and direct versus indirect approach, http://mpra.ub.uni-muenchen.de/16684/2/MPRA_paper_16684.pdf

Buss G. (2009), Economic forecasts with Bayesian autoregressive distributed lag model: choosing optimal prior in economic downturn, Journal of Applied Mathematics, Volume III, n° III http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.372.4275&rep=rep1&type=pdf.

Buss G. (2010), Forecasts with single-equation Markov-switching model: an application to the gross domestic product of Latvia, http://mpra.ub.uni-muenchen.de/20688/2/MPRA_paper_20688.pdf

Buss G. (2010), A note on GDP now-/forecasting with dynamic versus static factor models along a business cycle, http://mpra.ub.uni-muenchen.de/22147/2/MPRA_paper_22147.pdf

Buss G. (2010), Seasonal decomposition with a modified Hodrick-Prescott filter, http://mpra.ub.uni-muenchen.de/24133/2/MPRA_paper_24133.pdf

Cabezas-Ares,A., M. Delgado-Rodríguez and S. de Lucas-Santos (2020), The Dynamics of Cyclical Convergence and Decoupling in the Environmental Performance of Spanish Regions, Sustainability, MDPI, Open Access Journal, vol. 12(20), pages 1-14, October. https://www.mdpi.com/2071-1050/12/20/8569/pdf.

Cornec M and T. Deperraz (2006) Un nouvel indicateur synthétique mensuel résumant le climat des affaires dans les services en France, Economie et statistique, no 395-396, p.13-38. http://www.insee.fr/fr/ffc/docs_ffc/ES395-396b.pdf.

Cruzet T. and Langlet (2006), évolutions comparées des exportations en zone euro, Diagnostics Prévisions et Analyses Économiques, n°110, http://www.minefe.gouv.fr/directions_services/dgtpe/dpae/pdf/2006-016-110.pdf.

Darné O. (2008): "Using business survey in industrial and services sector to nowcast GDP growth: The French case." Economics Bulletin, Vol. 3, No. 32 pp. 1-8, https://pdfs.semanticscholar.org/f790/626e694f1ff63013e761074d1018b32661bc.pdf.

Darné O. and V. Brunhes-Lesage (2007), L'Indicateur Synthétique Mensuel d'Activité (ISMA) : une révision, Banque de France, Note d'études et de recherche n° 171, http://www.banque-de-france.fr/fr/publications/telechar/ner/ner171.pdf.

Darné O. and L. Ferrara (2008), Identification of slowdowns and accelerations for the euro area economy, Association Française de Sciences Économiques, https://publications.banque-france.fr/sites/default/files/medias/documents/working-paper_239_2009.pdf.

Desmarchelier B., Djellal F. and Gallouj F. (2013), Sectors’ Dynamics and the Economics of Growth: an Agent-Based System, mimeo,

European Commission (2009), PRODUCT MARKET REVIEW 2009: Microeconomic Consequences of the Crisis and Implications for the Recovery, http://ec.europa.eu/economy_finance/publications/european_economy/2009/pdf/ee11_2009_en.pdf.

Erkel-Rousse E. and C. Minodier (2008), Do Business Tendency Surveys in Industry and Services Help in Forecasting GDP Growth? A Real-Time Analysis on French Data, Association Française de Sciences Économiques and Insee working paper G2009-03, https://www.insee.fr/fr/statistiques/fichier/1380740/G2009-03.pdf.

Garfa K. (2013), Couplage ou découplage des cycles économiques des mena : une approche en termes de modèle à facteurs dynamiques, Région et Développement , n° 38-2013 http://regionetdeveloppement.univ-tln.fr/wp-content/uploads/9_Garfa.pdf.

Jaiswal R. and R. Uchil (2009), Markov-Switching Approach to Analyze the Inflation Hedging Potential of Copper and Gold Futures, IOSR Journal of Economics and Finance, http://www.iosrjournals.org/iosr-jef/papers/SIFICO/Version-1/11.%2067.73.pdf.

Jaiswal R. and R. Uchil (2018), An analysis of diversification benefits of commodity futures using Markov regime-switching approach, Afro-Asian Journal of Finance and Accounting, 2018, vol. 8, issue 1, 20-47, http://www.inderscience.com/link.php?id=89193.

Jayaram S., Patnaik I. and A. Shah (2009), Examining the decoupling hypothesis for India, http://www.nipfp.org.in/nipfp-dea-program/PDF/11_4Pr_Patnaik_JPS2009_sync.pdf.

Lagarde A., Doyena L., Ahad-Cisséa A., Caill-Millyd N., S. Gourguetb, Le Papec O., Macherb C., G. Morandeaud and O. Thébaud (2018), How Does MMEY Mitigate the Bioeconomic Effects of Climate Change for Mixed Fisheries, Ecological Economics, vol 154, p. 317-332. , http://www.bioecon-network.org/pages/20th%202018/Lagarde.pdf.

Lawan M.O, Mustapha A.B and M. Musa (2015), Factors Influencing Currency Convertibility in Economic Community of West African States (ECOWAS), Journal of Business & Economic Policy, Vol. 2, No. 4; December 2015 http://jbepnet.com/journals/Vol_2_No_4_December_2015/19.pdf.

Lalande E. and T. Rioust de Largentaye (2015), La prévision de croissance de court terme à la DG Trésor, Document de travail de la DG Trésor, https://www.tresor.economie.gouv.fr/Articles/3aec3360-39fa-4b28-92cf-70366c6a4e04/files/feb65d53-177a-4f6b-9368-038d31ac2345.

Lopez A. , De Lucas S.,Delgado M. J.(2021), Economic convergence in a globalized world: The role of business cycle synchronization. PLoS ONE 16(10):e0256182, https://doi.org/10.1371/journal.pone.0256182.

Lovrinovic I. and M. Benazic (2006), The Monetary Transmission Mechanism in the Republic of Croatia, 11th International Conference on Operational Research, Proceedings, p.87-110.

Mahé G. and Jaidane M. (2018), Perceptually Controlled Reshaping of Sound Histograms, IEEE/ACM Transactions on Audio, Speech and Language Processing, Institute of Electrical and Electronics Engineers, 2018, 26 (9), pp.1671 - 1683 , https://hal-descartes.archives-ouvertes.fr/hal-01828960/document>,

Minodier C. (2010), Avantages comparés des séries des premières valeurs publiées et des séries des valeurs révisées - Un exercice de prévision en temps réel de la croissance trimestrielle du PIB en France, Insee, Document de travail de la Direction des Études et Synthèses Économiques http://www.insee.fr/fr/publications-et-services/docs_doc_travail/G2010-01.pdf.

Paoli C, Voyant C., Muselli M. and Nivet M-L (2010), Forecasting of preprocessed daily solar radiation time series using neural networks. Solar Energy, n°84-12 http://hal.archives-ouvertes.fr/docs/00/53/71/78/PDF/solar_energy.pdf.

Panday R. and Jessica V-M. (2016), Real estate investment: an alternative or a diversifier for indian financial market, Indone Management Journal, 8(2), 27-32, http://www.iimidr.ac.in/wp-content/uploads/Vol8-2-REI.pdf.

Pandey R. and Patnaik M. (2015), Dating business cycles in post reform emerging economies, mimeo, http://www.levyinstitute.org/pubs/wp_775.pdf.

Paoli C, Voyant C., Muselli M. and Nivet M-L (2010), Forecasting of preprocessed daily solar radiation time series using neural networks. Solar Energy, n°84-12 http://hal.archives-ouvertes.fr/docs/00/53/71/78/PDF/solar_energy.pdf.

Rabanal R. (2016), CICLO ECÓNOMICO Y CONVERGENCIA: UN ANÁLISIS TEMPORAL DEL CASO ARGENTINO EN EL CONTEXTO MUNDIAL, Revista Fundamentos en Humanidades, http://revista.eco.unrc.edu.ar/index.php/fundamentos/article/download/9/10.

MJD Rodríguez, AC Ares and S de Lucas Santos (2017): Cyclical fluctuation patterns and decoupling: Towards common EU-28 environmental performance, Journal of cleaner production 175, 696-706, , https://www.sciencedirect.com/science/article/pii/S0959652617329189.

Rouché D. and Sicsic (2012), Chine : De nouveaux outils pour suivre la conjoncture et déterminer les véritables moteurs de la croissance, presented at the Fourgeaud Seminar of the French Treasury https://www.tresor.economie.gouv.fr/Articles/35909005-86ea-4b9d-b93b-38a250823b66/files/a27e65a0-a07a-49aa-82fd-35c77ac4195c.

Sharaborova I. (2019), METHODE DE LA MODELISATION ECONOMETRIQUE DU PIB EN RUSSIE: Mémoire de Master en Econométrie : Le Produit Intérier Brut, available on amazon.com.

Voyant C. (2008), Prediction de séries temporelles et application aux énergies renouvelables, présentation du 04/05/2008.

Voyant C, et al. (2010), Optimization of an artificial neural network dedicated to the multivariate forecasting of daily global radiation, Energy , doi:10.1016/j.energy.2010.10.032 https://hal.archives-ouvertes.fr/hal-00556471/document.

Yamada H. S. Nagata and Y. Honda (2007), A Comparison of Two Alternative Composite Leading Indicators for Detecting Japanese Business Turning Points, presented at the MSSANZ International Congress on Modelling and Simulation, Chrischurch, New Zealand. http://www.mssanz.org.au/MODSIM07/papers/17_s18/AComparisonOfTwo_s18_Yamada_.pdf.

Beside Emmanuel and Éric themselves

É. Dubois (2014), Discussion of the paper “Forecasting performance of three automated modeling techniques during the economic crisis 2007–2009” by A. Kock and T. Teräsvirta, International Journal of Forecasting, n°438-440 download (subscribers to the International Journal of Forecasting only).

P. Beynet, É. Dubois, Fréville D. et Michel A.(2006), Pourquoi le solde commercial américain a-t-il continué de se dégrader depuis 2002 malgré la dépréciation du dollar ?, Économie et Statistique, n° 397, pp. 3-20. http://www.insee.fr/fr/ffc/docs_ffc/es397a.pdf.

É. Dubois and E. Michaux (2006), Étalonnages à l'aide d'enquêtes de conjoncture : de nouveaux résultats, Économie et Prévision, n°172, http://dubois.ensae.net/EcoPrev126_Dubois_Michaux.pdf.

B. Bellone and E. Michaux (2006), Model Uncertainty and Forecasting, a Practitioner Point of View, https://pdfs.semanticscholar.org/1c2e/221d4b39d6138b4132be8506a7442b6e1a6e.pdf?_ga=2.124362825.2145207130.1588943659-2033541105.1588943659

Last updated: 2021/11/21