Dalibor Stevanovic : Citation Profile

Are you Dalibor Stevanovic?

Université du Québec à Montréal (UQAM)

9

H index

9

i10 index

330

Citations

RESEARCH PRODUCTION:

15

Articles

66

Papers

RESEARCH ACTIVITY:

   12 years (2012 - 2024). See details.
   Cites by year: 27
   Journals where Dalibor Stevanovic has often published
   Relations with other researchers
   Recent citing documents: 82.    Total self citations: 45 (12 %)

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   Permalink: http://citec.repec.org/pst385
   Updated: 2024-11-04    RAS profile: 2024-07-12    
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Relations with other researchers

Works with:

Marcellino, Massimiliano (8)

Moran, Kevin (8)

Foroni, Claudia (4)

Kotchoni, Rachidi (3)

Barattieri, Alessandro (2)

Martin, Julien (2)

Eden, Maya (2)

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

Is cited by:

Huber, Florian (15)

Marcellino, Massimiliano (13)

Koop, Gary (11)

Ng, Serena (10)

Rossi, Barbara (9)

Borup, Daniel (9)

Clark, Todd (8)

Desai, Ajit (6)

McCracken, Michael (6)

Beyeler, Simon (5)

Schütte, Erik Christian (5)

Cites to:

Ng, Serena (53)

Watson, Mark (43)

Marcellino, Massimiliano (25)

Zakrajšek, Egon (24)

Giannone, Domenico (23)

Gilchrist, Simon (23)

Stock, James (20)

Giannoni, Marc (20)

Yankov, Vladimir (18)

Boivin, Jean (17)

Reichlin, Lucrezia (16)

Main data

Where Dalibor Stevanovic has published?

Journals with more than one article published# docs
Canadian Journal of Economics/Revue canadienne d'économique2
International Journal of Forecasting2
Journal of Business & Economic Statistics2

Working Papers Series with more than one paper published# docs
Working Papers / Chair in macroeconomics and forecasting, University of Quebec in Montreal's School of Management9
CEPR Discussion Papers / C.E.P.R. Discussion Papers3
Papers / arXiv.org3
Working Paper Series / European Central Bank2
Working Papers / HAL2
EconomiX Working Papers / University of Paris Nanterre, EconomiX2

Recent works citing Dalibor Stevanovic (2024 and 2023)

YearTitle of citing document
2024To Bag is to Prune. (2020). Coulombe, Philippe Goulet. In: Papers. RePEc:arx:papers:2008.07063.

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2023Time-Varying Parameters as Ridge Regressions. (2020). Coulombe, Philippe Goulet. In: Papers. RePEc:arx:papers:2009.00401.

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2023Bayesian Modeling of Time-varying Parameters Using Regression Trees. (2022). Mitchell, James ; Koop, Gary ; Huber, Florian ; Hauzenberger, Niko. In: Papers. RePEc:arx:papers:2209.11970.

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2023Monotonicity for AI ethics and society: An empirical study of the monotonic neural additive model in criminology, education, health care, and finance. (2023). Zhang, Luyao ; Chen, Dangxing. In: Papers. RePEc:arx:papers:2301.07060.

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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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2023Machine Learning for Economics Research: When What and How?. (2023). Desai, Ajit. In: Papers. RePEc:arx:papers:2304.00086.

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2023Coarsened Bayesian VARs -- Correcting BVARs for Incorrect Specification. (2023). Marcellino, Massimiliano ; Huber, Florian. In: Papers. RePEc:arx:papers:2304.07856.

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2023Generalized Autoregressive Score Trees and Forests. (2023). Simsek, Yasin ; Patton, Andrew J. In: Papers. RePEc:arx:papers:2305.18991.

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2024Maximally Machine-Learnable Portfolios. (2023). Goebel, Maximilian ; Coulombe, Philippe Goulet. In: Papers. RePEc:arx:papers:2306.05568.

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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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2023Learning Probability Distributions of Day-Ahead Electricity Prices. (2023). Hanus, Lubos ; Barunik, Jozef. In: Papers. RePEc:arx:papers:2310.02867.

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2024From Reactive to Proactive Volatility Modeling with Hemisphere Neural Networks. (2023). Frenette, Mikael ; Coulombe, Philippe Goulet ; Klieber, Karin. In: Papers. RePEc:arx:papers:2311.16333.

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2024Non-stationary Financial Risk Factors and Macroeconomic Vulnerability for the UK. (2024). Szendrei, Tibor ; Varga, Katalin. In: Papers. RePEc:arx:papers:2404.01451.

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2024Maximally Forward-Looking Core Inflation. (2024). Goebel, Maximilian ; Barrette, Christophe ; Klieber, Karin ; Coulombe, Philippe Goulet. In: Papers. RePEc:arx:papers:2404.05209.

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2024Kernel Three Pass Regression Filter. (2024). Padha, Daanish ; Jat, Rajveer. In: Papers. RePEc:arx:papers:2405.07292.

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2024Optimal Text-Based Time-Series Indices. (2024). Bluteau, Keven ; Ardia, David. In: Papers. RePEc:arx:papers:2405.10449.

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2023.

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2023.

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2023Forecasting Risks to the Canadian Economic Outlook at a Daily Frequency. (2023). Feunou, Bruno ; Kyeong, James ; Azizova, Chinara. In: Discussion Papers. RePEc:bca:bocadp:23-19.

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2023Predicting Changes in Canadian Housing Markets with Machine Learning. (2023). Yang, Jing ; Macisaac, Maureen ; Lao, Helen ; Brannlund, Johan. In: Discussion Papers. RePEc:bca:bocadp:23-21.

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2024Forecasting Inflation in Russia Using Gradient Boosting and Neural Networks. (2024). Dzhunkeev, Urmat. In: Russian Journal of Money and Finance. RePEc:bkr:journl:v:83:y:2024:i:1:p:53-76.

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2023Forecasting models for the Chinese macroeconomy in a data?rich environment: Evidence from large dimensional approximate factor models with mixed?frequency data. (2023). Xu, Hao ; Ni, HE ; Zhang, Qin. In: Accounting and Finance. RePEc:bla:acctfi:v:63:y:2023:i:1:p:719-767.

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2023Machine learning advances for time series forecasting. (2023). Mendes, Eduardo F ; Medeiros, Marcelo C ; Masini, Ricardo P. In: Journal of Economic Surveys. RePEc:bla:jecsur:v:37:y:2023:i:1:p:76-111.

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2024Large?sample approximations and change testing for high?dimensional covariance matrices of multivariate linear time series and factor models. (2021). Steland, Ansgar ; Bours, Monika. In: Scandinavian Journal of Statistics. RePEc:bla:scjsta:v:48:y:2021:i:2:p:610-654.

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2024Challenges and Opportunities for Twenty First Century Bayesian Econometricians: A Personal View. (2024). Herman, Van Dijk. In: Studies in Nonlinear Dynamics & Econometrics. RePEc:bpj:sndecm:v:28:y:2024:i:2:p:155-176:n:12.

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2023Predicting Firm Exits with Machine Learning: Implications for Selection into COVID-19 Support and Productivity Growth. (2023). Vogt, Benedikt ; Kattenberg, Mark ; Davies, Lily. In: CPB Discussion Paper. RePEc:cpb:discus:444.

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2023Density forecasts of inflation: a quantile regression forest approach. (2023). Paredes, Joan ; Moutachaker, Ines ; Lenza, Michele. In: Working Paper Series. RePEc:ecb:ecbwps:20232830.

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2024The nonlinear effects of banks’ vulnerability to capital depletion in euro area countries. (2024). Moccero, Diego Nicolas ; Davidson, Sharada Nia. In: Working Paper Series. RePEc:ecb:ecbwps:20242912.

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2024Nowcasting consumer price inflation using high-frequency scanner data: evidence from Germany. (2024). Menz, Jan-Oliver ; Wieland, Elisabeth ; Schnorrenberger, Richard ; Carstensen, Kai ; Beck, Gunter W. In: Working Paper Series. RePEc:ecb:ecbwps:20242930.

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2024Leveraging machine learning to forecast carbon returns: Factors from energy markets. (2024). Guo, Lingling ; Dai, Yifan ; Xu, Yingying ; Chen, Jingjing. In: Applied Energy. RePEc:eee:appene:v:357:y:2024:i:c:s0306261923018792.

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2024Non-linear dimension reduction in factor-augmented vector autoregressions. (2024). Klieber, Karin. In: Journal of Economic Dynamics and Control. RePEc:eee:dyncon:v:159:y:2024:i:c:s0165188923002063.

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2023Nowcasting Chinese GDP in a data-rich environment: Lessons from machine learning algorithms. (2023). Xu, Hao ; Ni, HE ; Zhang, Qin. In: Economic Modelling. RePEc:eee:ecmode:v:122:y:2023:i:c:s0264999323000160.

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2023Trade openness and connectedness of national productions: Do financial openness, economic specialization, and the size of the country matter?. (2023). Toure, Adam ; Mao Takongmo, Charles-O., . In: Economic Modelling. RePEc:eee:ecmode:v:125:y:2023:i:c:s0264999323001529.

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2024Predicting tourism recovery from COVID-19: A time-varying perspective. (2024). Song, Haiyan ; Liu, Han ; Wen, Long. In: Economic Modelling. RePEc:eee:ecmode:v:135:y:2024:i:c:s0264999324000622.

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2023Bank capital requirement shocks: A narrative perspective. (2023). Conti, Antonio ; Signoretti, Federico M ; Nobili, Andrea. In: European Economic Review. RePEc:eee:eecrev:v:151:y:2023:i:c:s0014292122001507.

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2023The asymmetric impact of COVID-19: A novel approach to quantifying financial distress across industries. (2023). Nikolov, Plamen ; Simons, Wouter ; Hobza, Alexandr ; Canton, Erik ; Archanskaia, Elizaveta. In: European Economic Review. RePEc:eee:eecrev:v:158:y:2023:i:c:s0014292123001381.

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2023Assessing and comparing fixed-target forecasts of Arctic sea ice: Glide charts for feature-engineered linear regression and machine learning models. (2023). Coulombe, Philippe Goulet ; Gobel, Maximilian ; Diebold, Francis X. In: Energy Economics. RePEc:eee:eneeco:v:124:y:2023:i:c:s0140988323003316.

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2023Nowcasting industrial production using linear and non-linear models of electricity demand. (2023). Galdi, Giulio ; Casarin, Roberto ; Ravazzolo, Francesco ; Fezzi, Carlo ; Ferrari, Davide. In: Energy Economics. RePEc:eee:eneeco:v:126:y:2023:i:c:s0140988323005042.

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2023The interplay among COVID-19 economic recovery, behavioural changes, and the European Green Deal: An energy-economic modelling perspective. (2023). le Mouel, Pierre ; Elia, Alessia ; Boitier, Baptiste ; Cassetti, Gabriele ; Chiodi, Alessandro ; Doukas, Haris ; Koasidis, Konstantinos ; Nikas, Alexandros ; Zagame, Paul ; Gargiulo, Maurizio. In: Energy. RePEc:eee:energy:v:263:y:2023:i:pc:s0360544222026846.

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2023Thermo-economic analysis of a novel hydrogen production system using medical waste and biogas with zero carbon emission. (2023). Liu, Jun ; Zheng, Qiwei ; Chen, Heng ; Zhao, Xinyue ; Jiang, Xue ; Xu, Gang ; Pan, Peiyuan. In: Energy. RePEc:eee:energy:v:265:y:2023:i:c:s0360544222032194.

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2023A novel methanol-electricity cogeneration system based on the integration of water electrolysis and plasma waste gasification. (2023). Jiang, Xue ; Dong, Yuehong ; Xu, Gang ; Pan, Peiyuan ; Qiao, Shichao ; Chen, Heng ; Wang, Yuting. In: Energy. RePEc:eee:energy:v:267:y:2023:i:c:s036054422203376x.

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2024Fan charts in era of big data and learning. (2024). Hanus, Lubo ; Barunik, Jozef. In: Finance Research Letters. RePEc:eee:finlet:v:61:y:2024:i:c:s1544612324000333.

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2023Targeting predictors in random forest regression. (2023). Nielsen, Mikkel Slot ; Muhlbach, Nicolaj Sondergaard ; Christensen, Bent Jesper ; Borup, Daniel. In: International Journal of Forecasting. RePEc:eee:intfor:v:39:y:2023:i:2:p:841-868.

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2023Real-time inflation forecasting using non-linear dimension reduction techniques. (2023). Huber, Florian ; Klieber, Karin ; Hauzenberger, Niko. In: International Journal of Forecasting. RePEc:eee:intfor:v:39:y:2023:i:2:p:901-921.

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2023Mixed-frequency machine learning: Nowcasting and backcasting weekly initial claims with daily internet search volume data. (2023). Montes, Erik Christian ; Rapach, David E ; Borup, Daniel. In: International Journal of Forecasting. RePEc:eee:intfor:v:39:y:2023:i:3:p:1122-1144.

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2023Forecasting CPI inflation components with Hierarchical Recurrent Neural Networks. (2023). Benchimol, Jonathan ; Koenigstein, Noam ; Hammer, Allon ; Cohen, Eliya ; Caspi, Itamar ; Barkan, Oren. In: International Journal of Forecasting. RePEc:eee:intfor:v:39:y:2023:i:3:p:1145-1162.

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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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2023Central bank asset purchases, banks’ risky security holdings and profitability: Macro and micro evidence from Japan and the U.S.. (2023). Wang, Ling. In: International Review of Economics & Finance. RePEc:eee:reveco:v:87:y:2023:i:c:p:347-364.

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2024Forecasting of technology innovation and economic growth in Indonesia. (2024). Aminullah, Erman. In: Technological Forecasting and Social Change. RePEc:eee:tefoso:v:202:y:2024:i:c:s004016252400129x.

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2023Bayesian Modeling of Time-Varying Parameters Using Regression Trees. (2023). Mitchell, James ; Koop, Gary ; Huber, Florian ; Hauzenberger, Niko. In: Working Papers. RePEc:fip:fedcwq:95470.

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2023Macroeconomic Predictions Using Payments Data and Machine Learning. (2023). Desai, Ajit. In: Forecasting. RePEc:gam:jforec:v:5:y:2023:i:4:p:36-683:d:1288660.

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2023Does Automatic Wage Indexation Destroy Jobs? A Machine Learning Approach. (2023). Bijnens, Gert ; Konings, Jozef ; Karimov, Shyngys. In: De Economist. RePEc:kap:decono:v:171:y:2023:i:1:d:10.1007_s10645-023-09418-y.

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2023Macroeconomic forecasting in Poland: lessons from the external shocks. (2023). Rybacki, Jakub ; Gniazdowski, Micha. In: Bank i Kredyt. RePEc:nbp:nbpbik:v:53:y:2023:i:1:p:45-64.

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2023ARIMA and LSTM: A Comparative Analysis of Financial Time Series Forecasting. (2023). Lima, Gilberto ; Matos, Joao Vitor ; Alexandre, Michel. In: Working Papers, Department of Economics. RePEc:spa:wpaper:2023wpecon13.

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2023Big data forecasting of South African inflation. (2023). Steenkamp, Daan ; Rankin, Neil ; Kotze, Kevin ; Burger, Rulof ; Botha, Byron. In: Empirical Economics. RePEc:spr:empeco:v:65:y:2023:i:1:d:10.1007_s00181-022-02329-y.

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2023Predicting inflation component drivers in Nigeria: a stacked ensemble approach. (2023). Anthony, Abel ; Joshua, Jeremiah D ; Taiwo, Oyedamola F ; Akanni, Elijah O ; Akande, Emmanuel O. In: SN Business & Economics. RePEc:spr:snbeco:v:3:y:2023:i:1:d:10.1007_s43546-022-00384-2.

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2023Bayesian Modelling of TVP-VARs Using Regression Trees. (2023). Mitchell, James ; Koop, Gary ; Huber, Florian ; Hauzenberger, Niko. In: Working Papers. RePEc:str:wpaper:2308.

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2023TAIL FORECASTING WITH MULTIVARIATE BAYESIAN ADDITIVE REGRESSION TREES. (2023). Pfarrhofer, Michael ; Marcellino, Massimiliano ; Koop, Gary ; Huber, Florian ; Clark, Todd E. In: International Economic Review. RePEc:wly:iecrev:v:64:y:2023:i:3:p:979-1022.

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2024The macroeconomy as a random forest. (2024). Coulombe, Philippe Goulet. In: Journal of Applied Econometrics. RePEc:wly:japmet:v:39:y:2024:i:3:p:401-421.

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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 Dalibor Stevanovic:

YearTitleTypeCited
2021Macroeconomic Data Transformations Matter In: Papers.
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2020Macroeconomic Data Transformations Matter.(2020) In: CIRANO Working Papers.
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2021Macroeconomic data transformations matter.(2021) In: International Journal of Forecasting.
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2020How is Machine Learning Useful for Macroeconomic Forecasting? In: Papers.
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.() In: .
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2019How is Machine Learning Useful for Macroeconomic Forecasting?.(2019) In: CIRANO Working Papers.
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2022How is machine learning useful for macroeconomic forecasting?.(2022) In: Journal of Applied Econometrics.
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2021Can Machine Learning Catch the COVID-19 Recession? In: Papers.
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2021Can Machine Learning Catch the COVID-19 Recession?.(2021) In: CIRANO Working Papers.
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2021Can Machine Learning Catch the COVID-19 Recession?.(2021) In: CEPR Discussion Papers.
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2018A Large Canadian Database for Macroeconomic Analysis.(2018) In: CIRANO Working Papers.
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2022A large Canadian database for macroeconomic analysis.(2022) In: Canadian Journal of Economics/Revue canadienne d'économique.
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2020Forecasting the Covid-19 Recession and Recovery: Lessons from the Financial Crisis.(2020) In: CIRANO Working Papers.
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2020Forecasting the Covid-19 recession and recovery: Lessons from the financial crisis.(2020) In: CEPR Discussion Papers.
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2020Forecasting the Covid-19 recession and recovery: lessons from the financial crisis.(2020) In: Working Paper Series.
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2022Forecasting the Covid-19 recession and recovery: Lessons from the financial crisis.(2022) In: International Journal of Forecasting.
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2020Macroeconomic Uncertainty and the COVID-19 Pandemic: Measure and Impacts on the Canadian Economy.(2020) In: CIRANO Working Papers.
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2022The demand and supply of information about inflation.(2022) In: CIRANO Working Papers.
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2024Risk Scenarios and Macroeconomic Forecasts.(2024) In: CIRANO Working Papers.
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2012Bank leverage shocks and the macroeconomy: a new look in a data-rich environment. In: Working papers.
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2012BANK LEVERAGE SHOCKS AND THE MACROECONOMY: A NEW LOOK IN A DATA-RICH ENVIRONMENT.(2012) In: CIRANO Papers.
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2012Bank Leverage Shocks and the Macroeconomy: a New Look in a Data-Rich Environment.(2012) In: CIRANO Working Papers.
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2013Bank Leverage Shocks and the Macroeconomy: a New Look in a Data-Rich Environment.(2013) In: Cahiers de recherche.
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2017The Macroeconomic Effects of Shocks to Large Banks’ Capital In: Oxford Bulletin of Economics and Statistics.
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2016Common time variation of parameters in reduced-form macroeconomic models In: Studies in Nonlinear Dynamics & Econometrics.
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2015Financial Sector Interconnectedness and Monetary Policy Transmission In: Carlo Alberto Notebooks.
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2019FINANCIAL SECTOR INTERCONNECTEDNESS AND MONETARY POLICY TRANSMISSION.(2019) In: Macroeconomic Dynamics.
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2012CHOCS LIÃS AU RATIO DE LEVIER DES BANQUES ET MACROÃCONOMIE: NOUVEAU REGARD SUR UN ENVIRONNEMENT RICHE EN DONNÃES In: CIRANO Papers.
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2020Incertitude et effets macroéconomiques : mise à jour dans le contexte de la pandémie COVID-19 In: CIRANO Papers.
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2020Réflexions pour la relance du Québec : productivité de la main-dâÅuvre, investissements et mutations du commerce international In: CIRANO Papers.
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2023Le pessimisme risque de nous plonger dans une récession In: CIRANO Papers.
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2024Pessimism could plunge us into a recession In: CIRANO Papers.
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2016Prévision de lâactivité économique au Québec In: CIRANO Project Reports.
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2019Prévisions de lâactivité économique en temps de crise In: CIRANO Project Reports.
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2019Identification des points de retournement du cycle économique au Canada In: CIRANO Project Reports.
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2019Incertitude macroéconomique canadienne : mesure, évaluation et effets sur lâinvestissement In: CIRANO Project Reports.
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2020Analyse de la connectivité économique du Canada et du Québec In: CIRANO Project Reports.
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2020Prévision de lâactivité économique au Québec et au Canada à lâaide des méthodes Machine Learning In: CIRANO Project Reports.
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2021Analyse du marché du travail à lâaide des données de Google Trends In: CIRANO Project Reports.
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2023Confiance et activité économique : analyse dâimpact sur lâéconomie canadienne In: CIRANO Project Reports.
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2024Scénarios de risque et prévisions macroéconomiques In: CIRANO Project Reports.
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2012An Empirical Study of Credit Shock Transmission in a Small Open Economy In: CIRANO Working Papers.
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2017An empirical study of credit shock transmission in a small open economy.(2017) In: Canadian Journal of Economics.
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2017An empirical study of credit shock transmission in a small open economy.(2017) In: Canadian Journal of Economics/Revue canadienne d'économique.
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This paper has nother version. Agregated cites: 2		article
2013Dynamic Effects of Credit Shocks in a Data-Rich Environment In: CIRANO Working Papers.
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