Eduardo Zilberman : Citation Profile

Are you Eduardo Zilberman?

Pontifícia Universidade Católica do Rio de Janeiro

6

H index

4

i10 index

230

Citations

RESEARCH PRODUCTION:

11

Articles

26

Papers

EDITOR:

1

Series edited

RESEARCH ACTIVITY:

   15 years (2008 - 2023). See details.
   Cites by year: 15
   Journals where Eduardo Zilberman has often published
   Relations with other researchers
   Recent citing documents: 71.    Total self citations: 5 (2.13 %)

MORE DETAILS IN:
ABOUT THIS REPORT:

   Permalink: http://citec.repec.org/pzi88
   Updated: 2024-11-04    RAS profile: 2024-05-07    
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Relations with other researchers

Works with:

Medeiros, Marcelo (4)

Bigio, Saki (3)

Carvalho, Carlos (3)

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

Is cited by:

Stevanovic, Dalibor (8)

Huber, Florian (5)

Marcellino, Massimiliano (5)

Kohlscheen, Emanuel (4)

Borup, Daniel (4)

Kohlscheen, Emanuel (4)

Alstadsæter, Annette (4)

Kapetanios, George (4)

Castillo Ramos, Sebastián (3)

Koop, Gary (3)

Schütte, Erik Christian (3)

Cites to:

Mongey, Simon (10)

Berger, David (10)

wang, cheng (10)

Herkenhoff, Kyle (10)

Krueger, Dirk (10)

Iacoviello, Matteo (8)

Heathcote, Jonathan (8)

Barro, Robert (7)

Neri, Stefano (7)

Storesletten, Kjetil (7)

Buera, Francisco (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
Papers / arXiv.org2

Recent works citing Eduardo Zilberman (2024 and 2023)

YearTitle of citing document
2023Predicting Inflation with Neural Networks. (2021). Paranhos, Livia. In: Papers. RePEc:arx:papers:2104.03757.

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2023What does machine learning say about the drivers of inflation?. (2022). Kohlscheen, Emanuel. In: Papers. RePEc:arx:papers:2208.14653.

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2024On LASSO for High Dimensional Predictive Regression. (2022). Shi, Zhentao ; Mei, Ziwei. In: Papers. RePEc:arx:papers:2212.07052.

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2023The Effects of the Pandemic on Market Power and Profitability. (2023). Ramirez-Cuellar, Jaime ; Espinosa-Torres, Juan Andres. In: Papers. RePEc:arx:papers:2303.08765.

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

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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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2024.

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2023.

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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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2024A similarity‐based approach for macroeconomic forecasting. (2020). Marcellino, Massimiliano ; Kapetanios, G ; Dendramis, Y. In: Journal of the Royal Statistical Society Series A. RePEc:bla:jorssa:v:183:y:2020:i:3:p:801-827.

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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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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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2023Determinants of Renewable Energy Production in Egypt New Approach: Machine Learning Algorithms. (2023). Abdallah, Mohammed Galal ; Aly, Hamdy Ahmad ; Mohamed, Mohamed Ahmed ; Arafat, Nabil Medhat ; Abdelraouf, Ibrahim Abdalla ; Elgohari, Mohamed Ibrahim. In: International Journal of Energy Economics and Policy. RePEc:eco:journ2:2023-06-71.

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2023Short- and long-term forecasting for building energy consumption considering IPMVP recommendations, WEO and COP27 scenarios. (2023). Rodrigues, Rafael Nilson ; Cordeiro, Pedro Cesar ; Orsi, Gustavo Cardoso ; Luiz, Vinicius Viana ; Avila, Sergio Luciano ; Dos, Deilson Martins ; Santos, Greicili Dos. In: Applied Energy. RePEc:eee:appene:v:339:y:2023:i:c:s0306261923003446.

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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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2023Penalized time-varying model averaging. (2023). Hong, Yongmiao ; Zhang, Xinyu ; Wang, Shouyang ; Sun, Yuying. In: Journal of Econometrics. RePEc:eee:econom:v:235:y:2023:i:2:p:1355-1377.

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2023Time-varying forecast combination for high-dimensional data. (2023). Maung, Kenwin ; Chen, Bin. In: Journal of Econometrics. RePEc:eee:econom:v:237:y:2023:i:2:s0304407623000556.

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

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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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2023The commodity risk premium and neural networks. (2023). faff, robert ; Yew, Rand Kwong ; Rad, Hossein ; Miffre, Joelle. In: Journal of Empirical Finance. RePEc:eee:empfin:v:74:y:2023:i:c:s0927539823001007.

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

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2023Nowcasting food inflation with a massive amount of online prices. (2023). Szafranek, Karol ; Stelmasiak, Damian ; Macias, Pawe. In: International Journal of Forecasting. RePEc:eee:intfor:v:39:y:2023:i:2:p:809-826.

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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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2023Model combinations through revised base rates. (2023). Panagiotelis, Anastasios ; Spiliotis, Evangelos ; Petropoulos, Fotios. In: International Journal of Forecasting. RePEc:eee:intfor:v:39:y:2023:i:3:p:1477-1492.

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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). Fang, Kuangnan ; Jin, Wei ; Zheng, Tingguo. In: International Journal of Forecasting. RePEc:eee:intfor:v:40:y:2024:i:2:p:746-761.

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2023Firm-bank linkages and optimal policies after a rare disaster. (2023). Villacorta, Alonso ; Segura, Anatoli. In: Journal of Financial Economics. RePEc:eee:jfinec:v:149:y:2023:i:2:p:296-322.

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2023Machine learning and fund characteristics help to select mutual funds with positive alpha. (2023). Gil-Bazo, Javier ; Demiguel, Victor ; Nogales, Francisco J. In: Journal of Financial Economics. RePEc:eee:jfinec:v:150:y:2023:i:3:s0304405x23001770.

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2023Monetary policy transmission, productive activity, and inflation in Brazil: Does uncertainty matter?. (2023). Lopes, Luckas Sabioni ; Rotatori, Wilson Luiz. In: The Journal of Economic Asymmetries. RePEc:eee:joecas:v:27:y:2023:i:c:s1703494922000457.

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2023Machine learning methods for inflation forecasting in Brazil: New contenders versus classical models. (2023). Gaglianone, Wagner ; Araujo, Gustavo Silva. In: Latin American Journal of Central Banking (previously Monetaria). RePEc:eee:lajcba:v:4:y:2023:i:2:s2666143823000042.

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2023A factor pricing model based on machine learning algorithm. (2023). Ren, Hang ; Chen, Yuzhi ; Fang, YI. In: International Review of Economics & Finance. RePEc:eee:reveco:v:88:y:2023:i:c:p:280-297.

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

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2023Forecasting the Stability and Growth Pact compliance using Machine Learning. (2023). Papadimitriou, Theophilos ; Barbier-Gauchard, Amelie ; Baret, Kea. In: Post-Print. RePEc:hal:journl:hal-03121966.

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2023Uncertainty and the effectiveness of fiscal policy in the United States and Brasil: SVAR Approach. (2023). de Sa, Eduardo. In: Working Papers. RePEc:inf:wpaper:2023.03.

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2023Comparing Out-of-Sample Performance of Machine Learning Methods to Forecast U.S. GDP Growth. (2023). Qureshi, Shafiullah ; Chu, BA. In: Computational Economics. RePEc:kap:compec:v:62:y:2023:i:4:d:10.1007_s10614-022-10312-z.

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

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2023Tax evasion, efficiency, and bunching in the presence of enforcement notches. (2023). Hungerman, Daniel. In: International Tax and Public Finance. RePEc:kap:itaxpf:v:30:y:2023:i:1:d:10.1007_s10797-021-09710-0.

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2023Forecasting Loan Default in Europe with Machine Learning*. (2023). Tosetti, Elisa ; Manzan, Sebastiano ; Barbaglia, Luca. In: Journal of Financial Econometrics. RePEc:oup:jfinec:v:21:y:2023:i:2:p:569-596..

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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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2023???????? ?? ??????????????? ?????? ? ??????????????? ?????????? ?????????. (2020). Fokin, Nikita ; Tretyakov, Dmitriy. In: MPRA Paper. RePEc:pra:mprapa:109556.

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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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2023Pricing uncertainty in the Brazilian stock market: do size and sustainability matter?. (2023). Figueiredo, Antonio Carlos ; Vereda, Luciano ; Klotzle, Marcelo Cabus ; Gea, Cristiane. In: SN Business & Economics. RePEc:spr:snbeco:v:3:y:2023:i:1:d:10.1007_s43546-022-00400-5.

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2023Termination as an incentive device. (2022). Zhang, Yuzhe ; Grochulski, Borys. In: Theoretical Economics. RePEc:the:publsh:3881.

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2023Can Machine Learning Models Predict Inflation?. (2023). Codru, Ivacu. In: Proceedings of the International Conference on Business Excellence. RePEc:vrs:poicbe:v:17:y:2023:i:1:p:1748-1756:n:10.

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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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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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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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2016Audits or Distortions: The Optimal Scheme to Enforce Self-Employment Income Taxes In: Journal of Public Economic Theory.
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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.
[Full Text][Citation analysis]		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.
[Full Text][Citation analysis]		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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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: 120		article
2020Proyección de la Inflación en Chile con Métodos de Machine Learning In: Working Papers Central Bank of Chile.
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2014The effects of exposure to hyperinflation on occupational choice In: Journal of Economic Behavior & Organization.
[Full Text][Citation analysis]		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.
[Full Text][Citation analysis]		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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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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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: 9		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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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		paper
2013O Programa de Aceleração do Crescimento Acelera o Crescimento? In: Textos para discussão.
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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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Transitions in Central Bank Leadership In: Textos para discussão.
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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.
[Full Text][Citation analysis]		article1

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