Citation profile for Thomas James van Florenstein Mulder

Thomas James van Florenstein Mulder : Citation Profile

Reserve Bank of New Zealand

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Citations

RESEARCH PRODUCTION:

Articles

Papers

Chapters

RESEARCH ACTIVITY:

   3 years (2018 - 2021). See details.
   Cites by year: 16
   Journals where Thomas James van Florenstein Mulder has often published
   Relations with other researchers
   Recent citing documents: 19.    Total self citations: 1 (2 %)

MORE DETAILS IN:

EconPapers

ABOUT THIS REPORT:

   Permalink: http://citec.repec.org/pva914
   Updated: 2024-11-08    RAS profile: 2020-02-13
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Relations with other researchers

Works with:

Richardson, Adam (2)

Vehbi, Tugrul (2)

Authors registered in RePEc who have co-authored more than one work in the last five years with Thomas James van Florenstein Mulder.

Is cited by:

Asongu, Simplice (3)

Steenkamp, Daan (2)

Ofori, Isaac Kwesi (2)

Botha, Byron (2)

Obeng, Camara Kwasi (2)

Holtemöller, Oliver (2)

Bolhuis, Marijn (2)

Medeiros, Marcelo (1)

Pericoli, Filippo Maria (1)

Wong, Benjamin (1)

Vehbi, Tugrul (1)

Cites to:

Giannone, Domenico (3)

Reichlin, Lucrezia (3)

Eickmeier, Sandra (2)

Mariano, Roberto (2)

Jansen, W. Jos (2)

Richardson, Adam (2)

Roberts, John (2)

Modugno, Michele (2)

Banbura, Marta (2)

Diebold, Francis (2)

Vehbi, Tugrul (2)

Main data

Where Thomas James van Florenstein Mulder has published?

Recent works citing Thomas James van Florenstein Mulder (2024 and 2023)

Year	Title of citing document
2023	Nowcasting with signature methods. (2023). Mantoan, Giulia ; Malpass, Will ; Lui, Silvia ; Cohen, Samuel N ; Yang, Lingyi ; Small, Emma ; Scott, Craig ; Reeves, Andrew ; Nesheim, Lars. In: Papers. RePEc:arx:papers:2305.10256. Full description at Econpapers \|\| Download paper
2024	Forecasting Key Macroeconomic Indicators Using DMA and DMS Methods. (2024). Pankratova, Anastasiia. In: Russian Journal of Money and Finance. RePEc:bkr:journl:v:83:y:2024:i:1:p:32-52. Full description at Econpapers \|\| Download paper
2023	Nowcasting 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. Full description at Econpapers \|\| Download paper
2023	Testing 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. Full description at Econpapers \|\| Download paper
2023	Nowcasting India’s Quarterly GDP Growth: A Factor-Augmented Time-Varying Coefficient Regression Model (FA-TVCRM). (2023). Mundle, Sudipto ; Bhandari, Bornali ; Bhattacharya, Rudrani. In: Journal of Quantitative Economics. RePEc:spr:jqecon:v:21:y:2023:i:1:d:10.1007_s40953-022-00335-6. Full description at Econpapers \|\| Download paper
2023	Real?time macroeconomic projection using narrative central bank communication. (2023). Chen, Liangyuan ; Zhang, Yifan ; Fan, Jiacheng ; Lin, Jianhao. In: Journal of Applied Econometrics. RePEc:wly:japmet:v:38:y:2023:i:2:p:202-221. Full description at Econpapers \|\| Download paper
2024	Nowcasting inflation with Lasso?regularized vector autoregressions and mixed frequency data. (2023). Tancioni, Massimiliano ; Ciganovic, Milos ; Aliaj, Tesi. In: Journal of Forecasting. RePEc:wly:jforec:v:42:y:2023:i:3:p:464-480. Full description at Econpapers \|\| Download paper
2024	Forecasting economic activity using a neural network in uncertain times: Monte Carlo evidence and application to the German GDP. (2024). Holtemöller, Oliver ; Kozyrev, Boris ; Holtemoller, Oliver. In: IWH Discussion Papers. RePEc:zbw:iwhdps:287749. Full description at Econpapers \|\| Download paper
2023	. Full description at Econpapers \|\| Download paper

Works by Thomas James van Florenstein Mulder:

Year	Title	Type	Cited
2019	Nowcasting New Zealand GDP using machine learning algorithms In: IFC Bulletins chapters. [Full Text][Citation analysis]	chapter	44
2021	Nowcasting GDP using machine-learning algorithms: A real-time assessment.(2021) In: International Journal of Forecasting. [Full Text][Citation analysis] This paper has nother version. Agregated cites: 44	article
2018	Nowcasting New Zealand GDP using machine learning algorithms.(2018) In: CAMA Working Papers. [Full Text][Citation analysis] This paper has nother version. Agregated cites: 44	paper
2019	Forecasting with a Global VAR model In: Reserve Bank of New Zealand Analytical Notes series. [Full Text][Citation analysis]	paper	1
2019	The flattening of the Phillips curve: Rounding up the suspects In: Reserve Bank of New Zealand Analytical Notes series. [Full Text][Citation analysis]	paper	4
2020	GDP Plus: An Economic Activity Indicator for New Zealand In: Reserve Bank of New Zealand Analytical Notes series. [Full Text][Citation analysis]	paper	0
2020	Using job transitions data as a labour market indicator In: Reserve Bank of New Zealand Analytical Notes series. [Full Text][Citation analysis]	paper	0