Michael McCracken : Citation Profile


Are you Michael McCracken?

Federal Reserve Bank of St. Louis

20

H index

30

i10 index

3022

Citations

RESEARCH PRODUCTION:

46

Articles

58

Papers

5

Chapters

RESEARCH ACTIVITY:

   26 years (1997 - 2023). See details.
   Cites by year: 116
   Journals where Michael McCracken has often published
   Relations with other researchers
   Recent citing documents: 258.    Total self citations: 49 (1.6 %)

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   Permalink: http://citec.repec.org/pmc81
   Updated: 2023-11-04    RAS profile: 2023-08-11    
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Relations with other researchers


Works with:

Owyang, Michael (4)

Ng, Serena (3)

Sekhposyan, Tatevik (2)

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

Is cited by:

GUPTA, RANGAN (86)

Swanson, Norman (84)

Rossi, Barbara (81)

Clark, Todd (72)

Pincheira, Pablo (59)

Marcellino, Massimiliano (56)

Clements, Michael (47)

Kilian, Lutz (46)

West, Kenneth (44)

Wohar, Mark (42)

Franses, Philip Hans (39)

Cites to:

Clark, Todd (86)

West, Kenneth (82)

Watson, Mark (58)

Kilian, Lutz (50)

Stock, James (47)

Swanson, Norman (37)

Diebold, Francis (36)

Giannone, Domenico (30)

Rogoff, Kenneth (24)

Rossi, Barbara (24)

Giacomini, Raffaella (23)

Main data


Where Michael McCracken has published?


Journals with more than one article published# docs
Economic Synopses7
Journal of Econometrics7
Journal of Business & Economic Statistics5
Journal of Applied Econometrics5
Review4
The Regional Economist2
International Economic Review2
Econometric Reviews2
Journal of Money, Credit and Banking2

Working Papers Series with more than one paper published# docs
Working Papers / Federal Reserve Bank of St. Louis30
Research Working Paper / Federal Reserve Bank of Kansas City11
Working Papers (Old Series) / Federal Reserve Bank of Cleveland4
Finance and Economics Discussion Series / Board of Governors of the Federal Reserve System (U.S.)3

Recent works citing Michael McCracken (2023 and 2022)


YearTitle of citing document
2022Change point inference in high-dimensional regression models under temporal dependence. (2022). Yu, YI ; Zhao, Zifeng ; Wang, Daren ; Xu, Haotian. In: LIDAM Discussion Papers ISBA. RePEc:aiz:louvad:2022027.

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2022Forecasting total energy’s CO2 emissions. (2022). Leccadito, Arturo ; Algieri, Bernardina ; Iania, Leonardo. In: LIDAM Discussion Papers LFIN. RePEc:ajf:louvlf:2022003.

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2022News Co-Occurrence, Attention Spillover and Return Predictability. (2018). Tao, Yubo ; Guo, LI. In: Papers. RePEc:arx:papers:1703.02715.

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2023Equal Predictive Ability Tests for Panel Data with an Application to OECD and IMF Forecasts. (2020). Yang, Zhenlin ; Urga, Giovanni ; Pirotte, Alain ; Akgun, Oguzhan. In: Papers. RePEc:arx:papers:2003.02803.

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2022What Drives Inflation and How: Evidence from Additive Mixed Models Selected by cAIC. (2020). Volkmann, Alexander ; Rossi, Enzo ; Baumann, Philipp. In: Papers. RePEc:arx:papers:2006.06274.

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2022Real-Time Real Economic Activity: Exiting the Great Recession and Entering the Pandemic Recession. (2020). Diebold, Francis X. In: Papers. RePEc:arx:papers:2006.15183.

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2023Deep Dynamic Factor Models. (2020). Ricco, Giovanni ; Izzo, Cosimo ; Andreini, Paolo. In: Papers. RePEc:arx:papers:2007.11887.

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2023A Novel Approach to Predictive Accuracy Testing in Nested Environments. (2020). Pitarakis, Jean-Yves. In: Papers. RePEc:arx:papers:2008.08387.

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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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2022Bridging factor and sparse models. (2021). Medeiros, Marcelo C ; Masini, Ricardo ; Fan, Jianqing. In: Papers. RePEc:arx:papers:2102.11341.

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2022Hierarchical Regularizers for Mixed-Frequency Vector Autoregressions. (2021). Hecq, Alain ; Wilms, Ines ; Ternes, Marie. In: Papers. RePEc:arx:papers:2102.11780.

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2022Feasible Weighted Projected Principal Component Analysis for Factor Models with an Application to Bond Risk Premia. (2021). Choi, Sung Hoon. In: Papers. RePEc:arx:papers:2108.10250.

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2022Gaussian Process Vector Autoregressions and Macroeconomic Uncertainty. (2021). Marcellino, Massimiliano ; Petz, Nico ; Huber, Florian ; Hauzenberger, Niko. In: Papers. RePEc:arx:papers:2112.01995.

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2022Dynamic Factor Models with Sparse VAR Idiosyncratic Components. (2021). Margaritella, Luca ; Krampe, Jonas. In: Papers. RePEc:arx:papers:2112.07149.

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2022Estimation of Impulse-Response Functions with Dynamic Factor Models: A New Parametrization. (2022). Funovits, Bernd ; Koistinen, Juho. In: Papers. RePEc:arx:papers:2202.00310.

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2022A Neural Phillips Curve and a Deep Output Gap. (2022). Coulombe, Philippe Goulet. In: Papers. RePEc:arx:papers:2202.04146.

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2022Forecasting US Inflation Using Bayesian Nonparametric Models. (2022). Marcellino, Massimiliano ; Koop, Gary ; Huber, Florian ; Clark, Todd. In: Papers. RePEc:arx:papers:2202.13793.

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2022Improving Macroeconomic Model Validity and Forecasting Performance with Pooled Country Data using Structural, Reduced Form, and Neural Network Model. (2022). Fen, Cameron ; Undavia, Samir. In: Papers. RePEc:arx:papers:2203.06540.

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2022Learning Probability Distributions in Macroeconomics and Finance. (2022). Hanus, Lubos ; Barunik, Jozef. In: Papers. RePEc:arx:papers:2204.06848.

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2022From point forecasts to multivariate probabilistic forecasts: The Schaake shuffle for day-ahead electricity price forecasting. (2022). Kruger, Fabian ; Kachele, Fabian ; Grothe, Oliver. In: Papers. RePEc:arx:papers:2204.10154.

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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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2022Economic activity and climate change. (2022). Ruiz, Esther ; Rodr, Vladimir ; Poncela, Pilar ; de Juan, Ar'Anzazu. In: Papers. RePEc:arx:papers:2206.03187.

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2023Forecasting macroeconomic data with Bayesian VARs: Sparse or dense? It depends!. (2022). Kastner, Gregor ; Gruber, Luis. In: Papers. RePEc:arx:papers:2206.04902.

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2022Comparing Stochastic Volatility Specifications for Large Bayesian VARs. (2022). , Joshua. In: Papers. RePEc:arx:papers:2208.13255.

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2022150 Years of Return Predictability Around the World: A Holistic View. (2022). Bai, Yang. In: Papers. RePEc:arx:papers:2209.00121.

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2023Local Projection Inference in High Dimensions. (2022). Wilms, Ines ; Smeekes, Stephan ; Adamek, Robert. In: Papers. RePEc:arx:papers:2209.03218.

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2022The boosted HP filter is more general than you might think. (2022). Shi, Zhentao ; PEter, ; Mei, Ziwei. In: Papers. RePEc:arx:papers:2209.09810.

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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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2022Forecasting Cryptocurrencies Log-Returns: a LASSO-VAR and Sentiment Approach. (2022). Ciganovic, Milos ; D'Amario, Federico. In: Papers. RePEc:arx:papers:2210.00883.

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2023Prediction intervals for economic fixed-event forecasts. (2022). Plett, Hendrik ; Kruger, Fabian. In: Papers. RePEc:arx:papers:2210.13562.

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2023Reservoir 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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2023Boosted p-Values for High-Dimensional Vector Autoregression. (2022). Huang, Xiao. In: Papers. RePEc:arx:papers:2211.02215.

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2023Enhanced Bayesian Neural Networks for Macroeconomics and Finance. (2022). Marcellino, Massimiliano ; Klieber, Karin ; Huber, Florian ; Hauzenberger, Niko. In: Papers. RePEc:arx:papers:2211.04752.

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

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2022Probabilistic quantile factor analysis. (2022). Korobilis, Dimitris ; Schroder, Maximilian. In: Papers. RePEc:arx:papers:2212.10301.

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2023Hierarchical Regularizers for Reverse Unrestricted Mixed Data Sampling Regressions. (2023). Hecq, Alain ; Wilms, Ines ; Ternes, Marie. In: Papers. RePEc:arx:papers:2301.10592.

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2023Inference in Non-stationary High-Dimensional VARs. (2023). Smeekes, Stephan ; Margaritella, Luca. In: Papers. RePEc:arx:papers:2302.01434.

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2023Out of Sample Predictability in Predictive Regressions with Many Predictor Candidates. (2023). Pitarakis, Jean-Yves ; Gonzalo, Jesus. In: Papers. RePEc:arx:papers:2302.02866.

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2023High-Dimensional Conditionally Gaussian State Space Models with Missing Data. (2023). Zhu, Dan ; Poon, Aubrey. In: Papers. RePEc:arx:papers:2302.03172.

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2023Combining search strategies to improve performance in the calibration of economic ABMs. (2023). Delli Gatti, Domenico ; Chanda, Debmallya ; Favorito, Marco ; Glielmo, Aldo. In: Papers. RePEc:arx:papers:2302.11835.

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2023Distributional Vector Autoregression: Eliciting Macro and Financial Dependence. (2023). Oka, Tatsushi ; Zhu, Dan ; Wang, Yunyun. In: Papers. RePEc:arx:papers:2303.04994.

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

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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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2023Band-Pass Filtering with High-Dimensional Time Series. (2023). Proietti, Tommaso ; Lippi, Marco ; Giovannelli, Alessandro. In: Papers. RePEc:arx:papers:2305.06618.

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2023Fast and Order-invariant Inference in Bayesian VARs with Non-Parametric Shocks. (2023). Huber, Florian ; Koop, Gary. In: Papers. RePEc:arx:papers:2305.16827.

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2023Supervised Dynamic PCA: Linear Dynamic Forecasting with Many Predictors. (2023). Tsay, Ruey S ; Gao, Zhaoxing. In: Papers. RePEc:arx:papers:2307.07689.

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

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2023Composite Quantile Factor Models. (2023). Huang, Xiao. In: Papers. RePEc:arx:papers:2308.02450.

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2023Linear Regression with Weak Exogeneity. (2023). Solvsten, Mikkel ; Mikusheva, Anna. In: Papers. RePEc:arx:papers:2308.08958.

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2023Common Firm-level Investor Fears: Evidence from Equity Options. (2023). Baruník, Jozef ; Ellington, Michael ; Bevilacqua, Mattia. In: Papers. RePEc:arx:papers:2309.03968.

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2023Non-linear dimension reduction in factor-augmented vector autoregressions. (2023). Klieber, Karin. In: Papers. RePEc:arx:papers:2309.04821.

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2022.

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2023Time-Varying Risk Aversion and International Stock Returns. (2023). Guidolin, Massimo ; Cabrera, Gabriel ; Hansen, Erwin. In: BAFFI CAREFIN Working Papers. RePEc:baf:cbafwp:cbafwp23203.

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2022.

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2022.

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2022Nowcasting Canadian GDP with Density Combinations. (2022). Chernis, Tony ; Webley, Taylor. In: Discussion Papers. RePEc:bca:bocadp:22-12.

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2022Financial Intermediaries and the Macroeconomy: Evidence from a High-Frequency Identification. (2022). Ottonello, Pablo ; Song, Wenting. In: Staff Working Papers. RePEc:bca:bocawp:22-24.

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2022Sectoral Uncertainty. (2022). Uzeda, Luis ; Tuzcuoglu, Kerem ; Castelnuovo, Efrem. In: Staff Working Papers. RePEc:bca:bocawp:22-38.

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2023Central Bank Forecasting: A Survey. (2023). Sekkel, Rodrigo ; Binder, Carola Conces. In: Staff Working Papers. RePEc:bca:bocawp:23-18.

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2022Nowcasting Brazilian GDP with Electronic Payments Data. (2022). Cesar, Raquel Nadal. In: Working Papers Series. RePEc:bcb:wpaper:564.

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2022Beating the Average: Equity Premium Variations, Uncertainty, and Liquidity. (2022). Wagner, Niklas ; Kinateder, Harald ; Batten, Jonathan A. In: Abacus. RePEc:bla:abacus:v:58:y:2022:i:3:p:567-588.

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2022Stock return predictability: Evaluation based on interval forecasts. (2022). Kim, Jae H ; Darne, Olivier ; Charles, Amelie. In: Bulletin of Economic Research. RePEc:bla:buecrs:v:74:y:2022:i:2:p:363-385.

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2023The closer we get, the better we are?. (2023). Zilberfarb, Ben Zion ; Goldstein, Nathan. In: Economic Inquiry. RePEc:bla:ecinqu:v:61:y:2023:i:2:p:364-376.

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2022Does the kitchen?sink model work forecasting the equity premium?. (2022). Yin, Anwen. In: International Review of Finance. RePEc:bla:irvfin:v:22:y:2022:i:1:p:223-247.

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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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2022Anomalies and the Expected Market Return. (2022). Rapach, David E ; Li, Yan ; Dong, XI ; Zhou, Guofu. In: Journal of Finance. RePEc:bla:jfinan:v:77:y:2022:i:1:p:639-681.

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2023Pockets of Predictability. (2023). Timmermann, Allan ; Schmidt, Lawrence ; Farmer, Leland E. In: Journal of Finance. RePEc:bla:jfinan:v:78:y:2023:i:3:p:1279-1341.

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2022A reappraisal of Katona’s adaptive theory of consumer behaviour using U.K. data. (2022). Hasan, Mohammad ; Gausden, Robert. In: Manchester School. RePEc:bla:manchs:v:90:y:2022:i:2:p:122-143.

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2022Return predictability between industries and the stock market in China. (2022). Zhang, Gaiyan ; Tse, Yiuman. In: Pacific Economic Review. RePEc:bla:pacecr:v:27:y:2022:i:2:p:194-220.

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2023Is the US Phillips curve stable? Evidence from Bayesian vector autoregressions. (2023). Österholm, Pär ; Karlsson, Sune ; Osterholm, Par. In: Scandinavian Journal of Economics. RePEc:bla:scandj:v:125:y:2023:i:1:p:287-314.

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2022Sectoral Uncertainty. (2022). Uzeda, Luis ; Tuzcuoglu, Kerem ; Castelnuovo, Efrem. In: CESifo Working Paper Series. RePEc:ces:ceswps:_10034.

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2022Uncertainty, Skewness, and the Business Cycle through the MIDAS Lens. (2022). Mori, Lorenzo ; Castelnuovo, Efrem. In: CESifo Working Paper Series. RePEc:ces:ceswps:_10062.

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2023The Asymmetric Impact of Economic Policy and Oil Price Uncertainty on Inflation: Evidence from Developed and Emerging Economies. (2023). Anderl, Christina ; Caporale, Guglielmo Maria. In: CESifo Working Paper Series. RePEc:ces:ceswps:_10276.

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2023Government Purchases, the Labor Earnings Gap, andConsumption Dynamics. (2023). Giarda, Mario. In: Working Papers Central Bank of Chile. RePEc:chb:bcchwp:972.

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2022The demand and supply of information about inflation. (2022). Stevanovic, Dalibor ; Marcellino, Massimiliano. In: CIRANO Working Papers. RePEc:cir:cirwor:2022s-27.

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2022Addressing Unemployment Rate Forecast Errors in Relation to the Business Cycle. (2022). Scheer, Bas. In: CPB Discussion Paper. RePEc:cpb:discus:434.

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2022The boosted HP filter is more general than you might think. (2022). , Peter ; PEter, ; Shi, Zhentao ; Mei, Ziwei. In: Cowles Foundation Discussion Papers. RePEc:cwl:cwldpp:2348.

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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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2022A novel irrigation canal scheduling model adaptable to the spatial-temporal variability of water conveyance loss. (2022). Hu, Tiesong ; Mahmoud, Ali ; Liao, Xiangcheng ; Wang, Jinglin. In: Agricultural Water Management. RePEc:eee:agiwat:v:274:y:2022:i:c:s037837742200508x.

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2022Forecasting crash risk in U.S. bank returns—The role of credit booms. (2022). Mansur, Iqbal ; Mihai, Marius M. In: Journal of Corporate Finance. RePEc:eee:corfin:v:76:y:2022:i:c:s092911992200116x.

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2022A neural network ensemble approach for GDP forecasting. (2022). Rungi, Armando ; Riccaboni, Massimo ; Longo, Luigi. In: Journal of Economic Dynamics and Control. RePEc:eee:dyncon:v:134:y:2022:i:c:s016518892100213x.

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2022Time to build and bond risk premia. (2022). Li, Kai ; Huang, Fuzhe ; Guo, Bin. In: Journal of Economic Dynamics and Control. RePEc:eee:dyncon:v:136:y:2022:i:c:s0165188921000154.

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2022Sparse restricted perceptions equilibrium. (2022). Slobodyan, Sergey ; Audzei, Volha. In: Journal of Economic Dynamics and Control. RePEc:eee:dyncon:v:139:y:2022:i:c:s016518892200121x.

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2023Vector autoregression models with skewness and heavy tails. (2023). Karlsson, Sune ; Nguyen, Hoang ; Mazur, Stepan. In: Journal of Economic Dynamics and Control. RePEc:eee:dyncon:v:146:y:2023:i:c:s0165188922002834.

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2023Measuring the trend real interest rate in a data-rich environment. (2023). Fu, Bowen. In: Journal of Economic Dynamics and Control. RePEc:eee:dyncon:v:147:y:2023:i:c:s016518892300012x.

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2022Time-varying effect of uncertainty shocks on unemployment. (2022). Onur, Bedri Kamil ; Eksi, Ozan. In: Economic Modelling. RePEc:eee:ecmode:v:110:y:2022:i:c:s0264999322000566.

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2023Time-varying impacts of monetary policy uncertainty on Chinas housing market. (2023). Yang, Haisheng ; Li, Jie ; Lu, Yunzhi. In: Economic Modelling. RePEc:eee:ecmode:v:118:y:2023:i:c:s0264999322003182.

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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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2023Diligent forecasters can make accurate predictions despite disagreeing with the consensus. (2023). Zheng, Xinye ; An, Zidong. In: Economic Modelling. RePEc:eee:ecmode:v:125:y:2023:i:c:s0264999323001840.

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2022Commonality, macroeconomic factors and banking profitability. (2022). Uribe, Jorge M ; Manotas-Duque, Diego F ; Joaqui-Barandica, Orlando. In: The North American Journal of Economics and Finance. RePEc:eee:ecofin:v:62:y:2022:i:c:s1062940822000663.

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2022Interdependent capital structure choices and the macroeconomy. (2022). Uribe, Jorge M ; Hirs-Garzon, Jorge ; Gomez-Gonzalez, Jose E. In: The North American Journal of Economics and Finance. RePEc:eee:ecofin:v:62:y:2022:i:c:s1062940822000985.

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2022Predicting the equity market risk premium: A model selection approach. (2022). Ciner, Cetin. In: Economics Letters. RePEc:eee:ecolet:v:215:y:2022:i:c:s0165176522000970.

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2022Analyzing cross-validation for forecasting with structural instability. (2022). Hirano, Keisuke ; Wright, Jonathan H. In: Journal of Econometrics. RePEc:eee:econom:v:226:y:2022:i:1:p:139-154.

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2022Real-time Bayesian learning and bond return predictability. (2022). Li, Junye ; Fulop, Andras ; Wan, Runqing. In: Journal of Econometrics. RePEc:eee:econom:v:230:y:2022:i:1:p:114-130.

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2022Bayesian factor-adjusted sparse regression. (2022). Sun, Qiang ; Jiang, Bai ; Fan, Jianqing. In: Journal of Econometrics. RePEc:eee:econom:v:230:y:2022:i:1:p:3-19.

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2022Conditional rotation between forecasting models. (2022). Timmermann, Allan ; Zhu, Yinchu. In: Journal of Econometrics. RePEc:eee:econom:v:231:y:2022:i:2:p:329-347.

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2022Testing for parameter instability and structural change in persistent predictive regressions. (2022). Varneskov, Rasmus T ; Andersen, Torben G. In: Journal of Econometrics. RePEc:eee:econom:v:231:y:2022:i:2:p:361-386.

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More than 100 citations found, this list is not complete...

Works by Michael McCracken:


YearTitleTypeCited
2001NEW MSE TESTS FOR EVALUATING FORECASTING PERFORMANCE: EMPIRICS AND BOOTSTRAP In: 2001 Annual meeting, August 5-8, Chicago, IL.
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2001Inference about predictive ability In: Working papers.
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paper10
1997Regression-Based Tests of Predictive Ability. In: Working papers.
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paper156
1998Regression-Based Tests of Predictive Ability..(1998) In: International Economic Review.
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This paper has another version. Agregated cites: 156
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1998Regression-Based Tests of Predictive Ability.(1998) In: NBER Technical Working Papers.
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This paper has another version. Agregated cites: 156
paper
2009Tests of Equal Predictive Ability With Real-Time Data In: Journal of Business & Economic Statistics.
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article85
2007Tests of equal predictive ability with real-time data.(2007) In: Research Working Paper.
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This paper has another version. Agregated cites: 85
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2008Tests of equal predictive ability with real-time data.(2008) In: Working Papers.
[Full Text][Citation analysis]
This paper has another version. Agregated cites: 85
paper
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