Thomas R. Cook : Citation Profile


Are you Thomas R. Cook?

Federal Reserve Bank of Kansas City

2

H index

1

i10 index

35

Citations

RESEARCH PRODUCTION:

7

Articles

4

Papers

RESEARCH ACTIVITY:

   6 years (2016 - 2022). See details.
   Cites by year: 5
   Journals where Thomas R. Cook has often published
   Relations with other researchers
   Recent citing documents: 15.    Total self citations: 0 (0 %)

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   Permalink: http://citec.repec.org/pco928
   Updated: 2023-01-28    RAS profile: 2022-04-08    
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Relations with other researchers


Works with:

Doh, Taeyoung (4)

Smalter Hall, Aaron (2)

Nie, Jun (2)

Authors registered in RePEc who have co-authored more than one work in the last five years with Thomas R. Cook.

Is cited by:

Stevanovic, Dalibor (6)

Clark, Todd (3)

Marcellino, Massimiliano (3)

Pierdzioch, Christian (2)

GUPTA, RANGAN (2)

Paranhos, Livia (2)

Shintani, Mototsugu (1)

Chauvet, Marcelle (1)

Mamedli, Mariam (1)

Rodriguez Vargas, Adolfo (1)

Pfarrhofer, Michael (1)

Cites to:

Rodrik, Dani (2)

Imbens, Guido (2)

Löschel, Andreas (2)

Romer, Paul (2)

Bachmann, Ruediger (2)

Athey, Susan (2)

Bayer, Christian (2)

Mayda, Anna Maria (2)

Park, Walter (2)

Baqaee, David (2)

Peichl, Andreas (2)

Main data


Where Thomas R. Cook has published?


Journals with more than one article published# docs
Economic Bulletin3
Macro Bulletin2

Working Papers Series with more than one paper published# docs
Research Working Paper / Federal Reserve Bank of Kansas City3

Recent works citing Thomas R. Cook (2022 and 2021)


YearTitle of citing document
2021Macroeconomic Data Transformations Matter. (2020). Stevanovic, Dalibor ; Surprenant, St'Ephane ; Leroux, Maxime ; Coulombe, Philippe Goulet. In: Papers. RePEc:arx:papers:2008.01714.

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2021Predicting Inflation with Neural Networks. (2021). Paranhos, Livia. In: Papers. RePEc:arx:papers:2104.03757.

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2022Deep Learning Macroeconomics. (2022). , Rafael ; Rafael, . In: Papers. RePEc:arx:papers:2201.13380.

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2022Deep Growth-at-Risk Model: Nowcasting the 2020 Pandemic Lockdown Recession in Small Open Economies. (2022). Yanchev, Mihail. In: Economic Studies journal. RePEc:bas:econst:y:2022:i:7:p:20-41.

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2021Transfer Learning for Business Cycle Identification. (2021). , Rafael ; Rafael, ; Chauvet, Marcelle. In: Working Papers Series. RePEc:bcb:wpaper:545.

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2021FORECASTING RUSSIAN CPI WITH DATA VINTAGES AND MACHINE LEARNING TECHNIQUES. (2021). Mamedli, Mariam ; Shibitov, Denis. In: Bank of Russia Working Paper Series. RePEc:bkr:wpaper:wps70.

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2021The Role of the Real Estate Sector in the Structural Dynamics of the Chinese Economy: An Input–Output Analysis. (2021). Khan, Jamal ; Huang, Yongming ; Shad, Umair ; Girardin, Eric. In: China & World Economy. RePEc:bla:chinae:v:29:y:2021:i:1:p:61-86.

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2022International financial stress spillovers to bank lending: Do internal characteristics matter?. (2022). Haddou, Samira . In: International Review of Financial Analysis. RePEc:eee:finana:v:83:y:2022:i:c:s1057521922002459.

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2021Nowcasting GDP using machine-learning algorithms: A real-time assessment. (2021). Vehbi, Tugrul ; Richardson, Adam ; van Florenstein, Thomas. In: International Journal of Forecasting. RePEc:eee:intfor:v:37:y:2021:i:2:p:941-948.

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2021Macroeconomic data transformations matter. (2021). Stevanovic, Dalibor ; Surprenant, Stephane ; Leroux, Maxime ; Coulombe, Philippe Goulet. In: International Journal of Forecasting. RePEc:eee:intfor:v:37:y:2021:i:4:p:1338-1354.

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2021Disaggregated oil shocks and stock-market tail risks: Evidence from a panel of 48 economics. (2021). GUPTA, RANGAN ; Ji, Qiang ; Pierdzioch, Christian ; Sheng, Xin. In: Research in International Business and Finance. RePEc:eee:riibaf:v:58:y:2021:i:c:s0275531921001367.

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2022Tail Forecasting with Multivariate Bayesian Additive Regression Trees. (2021). Pfarrhofer, Michael ; Marcellino, Massimiliano ; Huber, Florian ; Clark, Todd ; Koop, Gary. In: Working Papers. RePEc:fip:fedcwq:90366.

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2021Disaggregated Oil Shocks and Stock-Market Tail Risks: Evidence from a Panel of 48 Countries. (2021). GUPTA, RANGAN ; Sheng, Xin ; Ji, Qiang ; Pierdzioch, Christian. In: Working Papers. RePEc:pre:wpaper:202106.

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2022How is machine learning useful for macroeconomic forecasting?. (2022). Surprenant, Stephane ; Stevanovic, Dalibor ; Leroux, Maxime ; Coulombe, Philippe Goulet. In: Journal of Applied Econometrics. RePEc:wly:japmet:v:37:y:2022:i:5:p:920-964.

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2021Predicting Inflation with Neural Networks. (2021). Paranhos, Livia. In: The Warwick Economics Research Paper Series (TWERPS). RePEc:wrk:warwec:1344.

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Works by Thomas R. Cook:


YearTitleTypeCited
2016Using Linguistic Networks to Explain Strength of Intellectual Property Rights In: World Development.
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article1
2019Assessing the Risk of Extreme Unemployment Outcomes In: Economic Bulletin.
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article0
2021To Improve the Accuracy of GDP Growth Forecasts, Add Financial Market Conditions In: Economic Bulletin.
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article0
2022Disruptions to Russian Energy Supply Likely to Weigh on European Output In: Economic Bulletin.
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article0
2018How Much Would China’s GDP Respond to a Slowdown in Housing Activity? In: Macro Bulletin.
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article1
2018Revamping the Kansas City Financial Stress Index Using the Treasury Repo Rate In: Macro Bulletin.
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article1
2019Assessing Macroeconomic Tail Risks in a Data-Rich Environment In: Research Working Paper.
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paper5
2021Explaining Machine Learning by Bootstrapping Partial Dependence Functions and Shapley Values In: Research Working Paper.
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paper0
2017Macroeconomic Indicator Forecasting with Deep Neural Networks In: Research Working Paper.
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paper27
2019Macroeconomic Indicator Forecasting with Deep Neural Networks.(2019) In: 2019 Meeting Papers.
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This paper has another version. Agregated cites: 27
paper
2018The first image reversed: IGO signals and mass political attitudes In: The Review of International Organizations.
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article0

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