Eduardo Zilberman : Citation Profile


Pontifícia Universidade Católica do Rio de Janeiro

6

H index

5

i10 index

253

Citations

RESEARCH PRODUCTION:

11

Articles

27

Papers

EDITOR:

1

Series edited

RESEARCH ACTIVITY:

   17 years (2008 - 2025). See details.
   Cites by year: 14
   Journals where Eduardo Zilberman has often published
   Relations with other researchers
   Recent citing documents: 52.    Total self citations: 5 (1.94 %)

MORE DETAILS IN:
ABOUT THIS REPORT:

   Permalink: http://citec.repec.org/pzi88
   Updated: 2025-06-07    RAS profile: 2024-05-07    
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Relations with other researchers


Works with:

Medeiros, Marcelo (4)

Bigio, Saki (4)

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

Is cited by:

Goulet Coulombe, Philippe (15)

Stevanovic, Dalibor (8)

Kapetanios, George (5)

Marcellino, Massimiliano (5)

Huber, Florian (5)

Borup, Daniel (4)

Alstadsæter, Annette (4)

Kohlscheen, Emanuel (4)

Kohlscheen, Emanuel (4)

Caspi, Itamar (4)

Benchimol, Jonathan (4)

Cites to:

Berger, David (10)

wang, cheng (10)

Mongey, Simon (10)

Herkenhoff, Kyle (10)

Krueger, Dirk (10)

Heathcote, Jonathan (8)

Iacoviello, Matteo (8)

Shin, Yongseok (7)

Buera, Francisco (7)

Neri, Stefano (7)

Barro, Robert (7)

Main data


Where Eduardo Zilberman has published?


Journals with more than one article published# docs
Journal of Public Economics2

Working Papers Series with more than one paper published# docs
Textos para discusso / Department of Economics PUC-Rio (Brazil)12
Working Papers Central Bank of Chile / Central Bank of Chile4
NBER Working Papers / National Bureau of Economic Research, Inc2
Papers / arXiv.org2

Recent works citing Eduardo Zilberman (2025 and 2024)


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

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

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2024Forecasting CPI inflation under economic policy and geopolitical uncertainties. (2024). Chakraborty, Tanujit ; Singh, Sunny Kumar ; Sengupta, Shovon. In: Papers. RePEc:arx:papers:2401.00249.

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2024Monthly GDP nowcasting with Machine Learning and Unstructured Data. (2024). TENORIO, JUAN ; Perez, Wilder. In: Papers. RePEc:arx:papers:2402.04165.

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2024Cross-Temporal Forecast Reconciliation at Digital Platforms with Machine Learning. (2024). Wilms, Ines ; Ternes, Marie ; Rombouts, Jeroen. In: Papers. RePEc:arx:papers:2402.09033.

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2024Inflation Target at Risk: A Time-varying Parameter Distributional Regression. (2024). Oka, Tatsushi ; Wang, Yunyun ; Zhu, Dan. In: Papers. RePEc:arx:papers:2403.12456.

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

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2024The Pass-through of Retail Crime. (2024). Hase, Carl ; Kasinger, Johannes. In: Papers. RePEc:arx:papers:2407.07201.

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2024Econometric Inference for High Dimensional Predictive Regressions. (2024). Lee, Ji Hyung ; Mei, Ziwei ; Shi, Zhentao ; Gao, Zhan. In: Papers. RePEc:arx:papers:2409.10030.

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2024Predicting Company Growth by Econophysics informed Machine Learning. (2024). Jing, XU ; Liu, Kaiwei ; Tao, Ruyi ; Zhang, Jiang. In: Papers. RePEc:arx:papers:2410.17587.

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2024International vulnerability of inflation. (2024). Ruiz, Esther ; Garr, Ignacio ; Rodr, Vladimir C. In: Papers. RePEc:arx:papers:2410.20628.

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2024Dual Interpretation of Machine Learning Forecasts. (2024). Goulet Coulombe, Philippe ; Goebel, Maximilian ; Klieber, Karin. In: Papers. RePEc:arx:papers:2412.13076.

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2025Generalized Factor Neural Network Model for High-dimensional Regression. (2025). Shestopaloff, Alexander Y ; Cucuringu, Mihai ; Guo, Zichuan. In: Papers. RePEc:arx:papers:2502.11310.

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2025Opening the Black Box of Local Projections. (2025). Coulombe, Philippe Goulet ; Klieber, Karin. In: Papers. RePEc:arx:papers:2505.12422.

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2024Exploring an LSTM-SARIMA routine for core inflation forecasting. (2024). Krukovets, Dmytro. In: Technology audit and production reserves. RePEc:baq:taprar:v:2:y:2024:i:2:p:6-12.

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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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2024The influence of global uncertainty and financial shocks, and sovereign risk shock on the Brazilian term structure of interest rate.. (2024). Ferreira, Mauro Sayar ; Figueiredo, Joice Marques. In: Textos para Discussão Cedeplar-UFMG. RePEc:cdp:texdis:td674.

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2024International vulnerability of inflation. (2024). Ortega, Esther Ruiz ; Rodrguez, Carlos Vladimir ; Vedia, Ignacio Garrn. In: DES - Working Papers. Statistics and Econometrics. WS. RePEc:cte:wsrepe:44814.

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2024Harnessing Machine Learning for Real-Time Inflation Nowcasting. (2024). Schnorrenberger, Richard ; Moura, Guilherme Valle ; Schmidt, Aishameriane. In: Working Papers. RePEc:dnb:dnbwpp:806.

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2025Forecasting Dutch inflation using machine learning methods. (2025). de Winter, Jasper ; Rasiawan, Rajni ; Berben, Robert-Paul. In: Working Papers. RePEc:dnb:dnbwpp:828.

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

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2024Renewable Energy Development and Employment in Ecuador€™s Rural Sector: An Economic Impact Analysis. (2024). Ulloa-De, Ral Clemente ; Salgado-Ortiz, Patricia Janella ; Reyna-Tenorio, Luis Jheovanny ; Gonzlez-Quionez, Luis Adrin ; Chere-Quinez, Byron Fernando. In: International Journal of Energy Economics and Policy. RePEc:eco:journ2:2024-01-51.

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2024The Effects of Oil Price on Energy Production and the Ecuadorian Economy. (2024). Lara-Tambaco, Rosalba Mercedes ; Cevallos-Mina, Mirna Geraldine ; Castillo-Gmez, Jos Luis ; Mosquera-Quionez, Erick Fabin ; Reyes-Vera, Carlos Humberto. In: International Journal of Energy Economics and Policy. RePEc:eco:journ2:2024-03-5.

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2024Time-varying forecast combination for factor-augmented regressions with smooth structural changes. (2024). Hong, Yongmiao ; Chen, Qitong ; Li, Haiqi. In: Journal of Econometrics. RePEc:eee:econom:v:240:y:2024:i:1:s0304407624000393.

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2024On LASSO for high dimensional predictive regression. (2024). Mei, Ziwei ; Shi, Zhentao. In: Journal of Econometrics. RePEc:eee:econom:v:242:y:2024:i:2:s0304407624001556.

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2024COVID-19 Supply Chain Disruptions. (2024). Meier, Matthias ; Pinto, Eugenio. In: European Economic Review. RePEc:eee:eecrev:v:162:y:2024:i:c:s0014292124000035.

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2024Inflation prediction in emerging economies: Machine learning and FX reserves integration for enhanced forecasting. (2024). Mirza, Nawazish ; Abbas, Syed Kumail ; Umar, Muhammad ; Naqvi, Bushra. In: International Review of Financial Analysis. RePEc:eee:finana:v:94:y:2024:i:c:s1057521924001704.

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2024How local is the local inflation factor? Evidence from emerging European countries. (2024). Clements, Michael ; Cepni, Oguzhan. In: International Journal of Forecasting. RePEc:eee:intfor:v:40:y:2024:i:1:p:160-183.

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2024Words or numbers? Macroeconomic nowcasting with textual and macroeconomic data. (2024). Fan, Xinyue ; Jin, Wei ; Zheng, Tingguo ; Fang, Kuangnan. In: International Journal of Forecasting. RePEc:eee:intfor:v:40:y:2024:i:2:p:746-761.

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2024Forecasting UK inflation bottom up. (2024). Potjagailo, Galina ; Kapetanios, George ; Chakraborty, Chiranjit ; Joseph, Andreas. In: International Journal of Forecasting. RePEc:eee:intfor:v:40:y:2024:i:4:p:1521-1538.

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2024Factor-augmented forecasting in big data. (2024). Bae, Juhee. In: International Journal of Forecasting. RePEc:eee:intfor:v:40:y:2024:i:4:p:1660-1688.

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2025Forecasting macroeconomic tail risk in real time: Do textual data add value?. (2025). Schssler, Rainer A ; Prser, Jan ; Admmer, Philipp. In: International Journal of Forecasting. RePEc:eee:intfor:v:41:y:2025:i:1:p:307-320.

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2025Cross-temporal forecast reconciliation at digital platforms with machine learning. (2025). Rombouts, Jeroen ; Ternes, Marie ; Wilms, Ines. In: International Journal of Forecasting. RePEc:eee:intfor:v:41:y:2025:i:1:p:321-344.

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2024GDP nowcasting: A machine learning and remote sensing data-based approach for Bolivia. (2024). Bolivar Rosales, Osmar. In: Latin American Journal of Central Banking (previously Monetaria). RePEc:eee:lajcba:v:5:y:2024:i:3:s2666143824000085.

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2024Uneven recessions and optimal firm subsidies. (2024). Machado, Caio. In: Journal of Public Economics. RePEc:eee:pubeco:v:239:y:2024:i:c:s0047272724001865.

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2024The Anatomy of Out-of-Sample Forecasting Accuracy. (2024). Schütte, Erik Christian ; Goulet Coulombe, Philippe ; Borup, Daniel ; Schwenk-Nebbe, Sander ; Rapach, David E. In: FRB Atlanta Working Paper. RePEc:fip:fedawp:97785.

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2024Forecasting Selected Commodities’ Prices with the Bayesian Symbolic Regression. (2024). Drachal, Krzysztof ; Pawowski, Micha. In: IJFS. RePEc:gam:jijfss:v:12:y:2024:i:2:p:34-:d:1366740.

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2025Expectation Shocks: Structural VAR Insights and the Case of Brazil. (2025). de Mendonca, Thiago Drummond. In: International Journal of Economics and Finance. RePEc:ibn:ijefaa:v:17:y:2025:i:2:p:45.

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2024Monitoring time-varying systemic risk in sovereign debt and currency markets with generative AI. (2024). Uribe, Jorge ; Chuliá, Helena ; Khalili, Sabuhi ; Chulia, Helena. In: IREA Working Papers. RePEc:ira:wpaper:202402.

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2024Implementing Machine Learning Methods in Estimating the Size of the Non-observed Economy. (2024). Lazebnik, Teddy ; Shami, Labib. In: Computational Economics. RePEc:kap:compec:v:63:y:2024:i:4:d:10.1007_s10614-023-10369-4.

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2024Boosting and Predictability of Macroeconomic Variables: Evidence from Brazil. (2024). Torrent, Hudson Silva ; Lindenmeyer, Guilherme Schultz. In: Computational Economics. RePEc:kap:compec:v:64:y:2024:i:1:d:10.1007_s10614-023-10421-3.

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2024Benchmark Analysis of Machine Learning Methods to Forecast the U.S. Annual Inflation Rate During a High-Decile Inflation Period. (2024). Malladi, Rama K. In: Computational Economics. RePEc:kap:compec:v:64:y:2024:i:1:d:10.1007_s10614-023-10436-w.

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2025Brazilian Selic Rate Forecasting with Deep Neural Networks. (2025). Moreira, Rodrigo ; Rodrigues, Larissa Ferreira ; Silva, Flvio Oliveira. In: Computational Economics. RePEc:kap:compec:v:65:y:2025:i:3:d:10.1007_s10614-024-10597-2.

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2024Tax policy design in a hierarchical model with occupational decisions. (2024). Castillo Ramos, Sebastián. In: International Tax and Public Finance. RePEc:kap:itaxpf:v:31:y:2024:i:5:d:10.1007_s10797-023-09806-9.

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2024Investor attention and consumer price index inflation rate: Evidence from the United States. (2024). Zhang, Yinpeng ; Zhou, Qingjie ; Zhu, Panpan. In: Palgrave Communications. RePEc:pal:palcom:v:11:y:2024:i:1:d:10.1057_s41599-024-03036-y.

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2024.

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2024Forecasting oil prices with random forests. (2024). Kohlscheen, Emanuel. In: Empirical Economics. RePEc:spr:empeco:v:66:y:2024:i:2:d:10.1007_s00181-023-02480-0.

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2025Bitcoin as a financial asset: a survey. (2025). Kang, Daeyun ; Ryu, Doojin ; Webb, Robert I. In: Financial Innovation. RePEc:spr:fininn:v:11:y:2025:i:1:d:10.1186_s40854-025-00773-0.

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2024Forecasting and Analyzing Predictors of Inflation Rate: Using Machine Learning Approach. (2024). Das, Prabir Kumar. In: Journal of Quantitative Economics. RePEc:spr:jqecon:v:22:y:2024:i:2:d:10.1007_s40953-024-00384-z.

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2024Using deep (machine) learning to forecast US inflation in the COVID‐19 era. (2024). Duca, John ; Stoneman, David. In: Journal of Forecasting. RePEc:wly:jforec:v:43:y:2024:i:4:p:894-902.

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2024Enhancing forecast accuracy through frequencydomain combination: Applications to financial and economic indicators. (2024). Verona, Fabio ; Faria, Gonçalo. In: Bank of Finland Research Discussion Papers. RePEc:zbw:bofrdp:307140.

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2024Forecast combination and interpretability using random subspace. (2024). Kozyrev, Boris. In: IWH Discussion Papers. RePEc:zbw:iwhdps:304455.

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Eduardo Zilberman is editor of


Journal
Notas de Investigacin Journal Economa Chilena (The Chilean Economy)

Works by Eduardo Zilberman:


YearTitleTypeCited
2020Speculation-driven Business Cycles In: Working Papers.
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paper0
2020Speculation-Driven Business Cycles.(2020) In: Working Papers Central Bank of Chile.
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This paper has nother version. Agregated cites: 0
paper
2021Short-Term Covid-19 Forecast for Latecomers In: Papers.
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paper1
2022Short-term Covid-19 forecast for latecomers.(2022) In: International Journal of Forecasting.
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This paper has nother version. Agregated cites: 1
article
2021Lockdown effects in US states: an artificial counterfactual approach In: Papers.
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paper0
2016Audits or Distortions: The Optimal Scheme to Enforce Self-Employment Income Taxes In: Journal of Public Economic Theory.
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article3
2011Audits or Distortions: The Optimal Scheme to Enforce Self-Employment Income Taxes.(2011) In: Textos para discussão.
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This paper has nother version. Agregated cites: 3
paper
2008Does Crime Affect Economic Decisions? An Empirical Investigation of Savings in a High-Crime Environment In: The B.E. Journal of Economic Analysis & Policy.
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article12
2008Does crime affect economic decisions? An empirical investigation of savings in a high-crime environment.(2008) In: Textos para discussão.
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This paper has nother version. Agregated cites: 12
paper
2019Macroeconomic Effects of Credit Deepening in Latin America In: Working Papers Central Bank of Chile.
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paper8
2015Macroeconomic Effects of Credit Deepening in Latin America.(2015) In: IDB Publications (Working Papers).
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This paper has nother version. Agregated cites: 8
paper
2014Macroeconomic Effects of Credit Deepening in Latin America.(2014) In: Textos para discussão.
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This paper has nother version. Agregated cites: 8
paper
2023Macroeconomic Effects of Credit Deepening in Latin America.(2023) In: Journal of Money, Credit and Banking.
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This paper has nother version. Agregated cites: 8
article
2019Forecasting Inflation in a Data-Rich Environment: The Benefits of Machine Learning Methods In: Working Papers Central Bank of Chile.
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paper140
2021Forecasting Inflation in a Data-Rich Environment: The Benefits of Machine Learning Methods.(2021) In: Journal of Business & Economic Statistics.
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This paper has nother version. Agregated cites: 140
article
2020Proyección de la Inflación en Chile con Métodos de Machine Learning In: Working Papers Central Bank of Chile.
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paper0
2014The effects of exposure to hyperinflation on occupational choice In: Journal of Economic Behavior & Organization.
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article5
2013The Effects of Exposure to Hyperinflation on Occupational Choice.(2013) In: Textos para discussão.
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This paper has nother version. Agregated cites: 5
paper
2011Optimal self-employment income tax enforcement In: Journal of Public Economics.
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article25
2011Optimal self-employment income tax enforcement.(2011) In: Journal of Public Economics.
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This paper has nother version. Agregated cites: 25
article
2011Targeting the poor: a macroeconomic analysis of cash transfer programs In: FGV EPGE Economics Working Papers (Ensaios Economicos da EPGE).
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paper6
2012Targeting the Poor: A Macroeconomic Analysis of Cash Transfer Programs.(2012) In: 2012 Meeting Papers.
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This paper has nother version. Agregated cites: 6
paper
2012Targeting the Poor: A Macroeconomic Analysis of Cash Transfer Programs.(2012) In: Textos para discussão.
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This paper has nother version. Agregated cites: 6
paper
2018Os Efeitos da Incerteza sobre a Atividade Econômica no Brasil In: Revista Brasileira de Economia - RBE.
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article11
2017Os Efeitos da Incerteza sobre a Atividade Econômica no Brasil.(2017) In: Textos para discussão.
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This paper has nother version. Agregated cites: 11
paper
2017Impactos Macroeconômicos da Expansão do Crédito no Brasil: o período 2001-2011 In: Discussion Papers.
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2020Transfers vs Credit Policy: Macroeconomic Policy Trade-offs during Covid-19 In: NBER Working Papers.
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paper36
2025Heterogeneous Beliefs, Asset Prices, and Business Cycles In: NBER Working Papers.
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2019Macroeconomic Macroeconomic Effects of Credit Deepening in Latin America. In: Working Papers.
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2013On the Optimal Size of Public Employment In: 2013 Meeting Papers.
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2013On the Optimal Size of Public Employment.(2013) In: Textos para discussão.
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This paper has nother version. Agregated cites: 0
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2013O Programa de Aceleração do Crescimento Acelera o Crescimento? In: Textos para discussão.
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paper4
2015Risk Contracts with Private Information and One-Sided Commitment In: Textos para discussão.
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Sentiment, Electoral Uncertainty and Stock Returns In: Textos para discussão.
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paper1
Transitions in Central Bank Leadership In: Textos para discussão.
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paper0
2018Gambling, Risk Appetite and Asset Pricing In: Textos para discussão.
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2012Does the Growth Acceleration Program Accelerate Growth? In: Brazilian Review of Econometrics.
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2019Risk sharing contracts with private information and one-sided commitment In: Economic Theory.
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article1

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