Thomas James van Florenstein Mulder : Citation Profile

Reserve Bank of New Zealand

2

H index

1

i10 index

78

Citations

RESEARCH PRODUCTION:

2

Articles

5

Papers

1

Chapters

RESEARCH ACTIVITY:

   6 years (2018 - 2024). See details.
   Cites by year: 13
   Journals where Thomas James van Florenstein Mulder has often published
   Relations with other researchers
   Recent citing documents: 40.    Total self citations: 1 (1.27 %)

MORE DETAILS IN:
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   Permalink: http://citec.repec.org/pva914
   Updated: 2026-09-26    RAS profile: 2025-04-28    
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Relations with other researchers

Works with:

Richardson, Adam (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)

Obeng, Kwasi (3)

Wilhelm, Paulo (2)

Obeng, Camara Kwasi (2)

Holtemöller, Oliver (2)

Bolhuis, Marijn (2)

Ofori, Isaac Kwesi (2)

Silva, Thiago (2)

Botha, Byron (2)

de Winter, Jasper (2)

Steenkamp, Daan (2)

Cites to:

Reichlin, Lucrezia (3)

Giannone, Domenico (3)

Banbura, Marta (2)

Richardson, Adam (2)

Eickmeier, Sandra (2)

Diebold, Francis (2)

Roberts, John (2)

Jansen, W. Jos (2)

Mariano, Roberto (2)

Ng, Tim (2)

Modugno, Michele (2)

Main data

Where Thomas James van Florenstein Mulder has published?

Recent works citing Thomas James van Florenstein Mulder (2025 and 2024)

YearTitle of citing document
2024Forecasting The Economic Growth of Sverdlovsk Region: A Comparative Analysis of Machine Learning, Linear Regression and Autoregressive Models. (2024). Kumar, Avinash ; Balungu, Daniel Musafiri. In: Journal of Applied Economic Research. RePEc:aiy:jnjaer:v:23:y:2024:i:3:p:674-695.

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2025Nowcasting with signature methods. (2023). de Paula, Aureo ; Cohen, Samuel N ; Yang, Lingyi ; Nesheim, Lars ; Mantoan, Giulia ; Small, Emma ; Scott, Craig ; Reeves, Andrew ; Malpass, Will ; Lui, Silvia. In: Papers. RePEc:arx:papers:2305.10256.

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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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2024Machine Learning for Economic Forecasting: An Application to Chinas GDP Growth. (2024). Xu, Yan ; Yang, Yanqing ; Ge, Jinfeng. In: Papers. RePEc:arx:papers:2407.03595.

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2024Deep Learning for Multi-Country GDP Prediction: A Study of Model Performance and Data Impact. (2024). Yang, Yanqing ; Qian, Xun ; Xu, Xingcheng ; Xie, Huaqing. In: Papers. RePEc:arx:papers:2409.02551.

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2025GDP-GFCF Dynamics Across Global Economies: A Comparative Study of Panel Regressions and Random Forest. (2025). Raczkowski, Konrad ; Filip, Dariusz ; Klopotek, Robert A ; Landowska, Alina. In: Papers. RePEc:arx:papers:2504.20993.

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2025An Interpretable Machine Learning Approach in Predicting Inflation Using Payments System Data: A Case Study of Indonesia. (2025). Badrawani, Wishnu. In: Papers. RePEc:arx:papers:2506.10369.

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2024Machine Learning and Economic Forecasting: the role of international trade networks. (2024). Silva, Thiago ; Berri, Paulo Victor ; Amancio, Diego Raphael. In: Working Papers Series. RePEc:bcb:wpaper:597.

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2024Forecasting 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.

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2024CLARA and CARLSON: Combination of Ensemble and Neural Network Machine Learning Methods for GDP Forecasting. (2024). Bozhechkova, Alexandra ; Dzhunkeev, Urmat. In: Russian Journal of Money and Finance. RePEc:bkr:journl:v:83:y:2024:i:3:p:45-69.

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2025Nowcasting Russian GDP in a Mixed-Frequency DSGE Model with a Panel of Non-Modelled Variables. (2025). Eliseev, Alexander. In: Russian Journal of Money and Finance. RePEc:bkr:journl:v:84:y:2025:i:3:p:63-93.

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2024Future directions in nowcasting economic activity: A systematic literature review. (2024). Pekarskiene, Irena ; Lukauskas, Mantas ; Grybauskas, Andrius ; Bruneckiene, Jurgita ; Pilinkiene, Vaida ; Stundziene, Alina. In: Journal of Economic Surveys. RePEc:bla:jecsur:v:38:y:2024:i:4:p:1199-1233.

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2024Nowcasting services trade for the G7 economies. (2024). Mourougane, Annabelle ; Gonzales, Frederic ; Jaax, Alexander. In: The World Economy. RePEc:bla:worlde:v:47:y:2024:i:4:p:1336-1386.

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2025GDP 5.0: Real-Time, Micro-Founded and Sustainable Metrics for Beyond-GDP Economic Assessment. (2025). Elimam, Sarah ; Warin, Thierry. In: CIRANO Working Papers. RePEc:cir:cirwor:2025s-20.

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2025Colombian economic activity nowcasting: addressing nonlinearities and high dimensionality through machine-learning. (2025). Rincn, Juan Jos. In: Documentos CEDE. RePEc:col:000089:021388.

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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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2025A multi-factor GDP nowcast model for India. (2025). Ranjan, Abhishek ; Kaustubh, Kaustubh. In: Economic Modelling. RePEc:eee:ecmode:v:147:y:2025:i:c:s0264999325000483.

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2025Robust determinants of green finance. (2025). Grechyna, Daryna ; Ofori, Pamela Efua. In: Energy Economics. RePEc:eee:eneeco:v:152:y:2025:i:c:s0140988325008333.

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2025Integrating machine learning and econometric models to uncover macroeconomic determinants of renewable energy production in the selected European countries. (2025). Wyrwa, Artur ; Khan, Atif Maqbool. In: Energy. RePEc:eee:energy:v:333:y:2025:i:c:s0360544225029081.

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2025Divergent relationships between exchange rate pass-through and policy rates across economies: An extension of the Taylor rule. (2025). Zhang, Renzhong ; Ma, Wei ; Li, Wei. In: Finance Research Letters. RePEc:eee:finlet:v:71:y:2025:i:c:s1544612324014855.

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2025Econometric forecasting using ubiquitous news text: Text-enhanced factor model. (2025). Seo, Beomseok. In: International Journal of Forecasting. RePEc:eee:intfor:v:41:y:2025:i:3:p:1055-1072.

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2024Machine learning and economic forecasting: The role of international trade networks. (2024). Silva, Thiago ; Berri, Paulo Victor ; Amancio, Diego R. In: Physica A: Statistical Mechanics and its Applications. RePEc:eee:phsmap:v:649:y:2024:i:c:s0378437124004862.

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2025Predictive modeling the past. (2025). Paker, Meredith ; Stephenson, Judy ; Wallis, Patrick. In: LSE Research Online Documents on Economics. RePEc:ehl:lserod:128852.

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2025Nowcasting Perus GDP with Machine Learning Methods. (2025). Tang, Juan ; Flores Audante, Jairo ; Ruelas-Huanca, Walter ; Gonzaga, Bruno. In: IHEID Working Papers. RePEc:gii:giihei:heidwp01-2025.

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2026Macroeconomic Forecasting Using Machine Learning Methods: An Application to Uzbekistan. (2026). Abdurakhmonov, Abdukakhkhor. In: IHEID Working Papers. RePEc:gii:giihei:heidwp19-2026.

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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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2025Enhancing Long-Term GDP Forecasting with Advanced Hybrid Models: A Comparative Study of ARIMA-LSTM and ARIMA-TCN with Dense Regression. (2025). Atif, Dalia. In: Computational Economics. RePEc:kap:compec:v:65:y:2025:i:6:d:10.1007_s10614-024-10683-5.

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2025Guangxi GDP Prediction Model Based on Principal Component Analysis and SSA–SVM. (2025). Cheng, Xianbao ; Nie, Jun ; Tong, Yanfen. In: Computational Economics. RePEc:kap:compec:v:66:y:2025:i:2:d:10.1007_s10614-024-10715-0.

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2026Applying Multi-Critic Deep Deterministic Policy Gradient for Effective Selection of Macroeconomic Announcements in Forex Trading. (2026). Gernowo, Rahmat ; Baradja, Abdillah ; Wibowo, Adi. In: Computational Economics. RePEc:kap:compec:v:67:y:2026:i:5:d:10.1007_s10614-025-10988-z.

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2024Nowcasting Quarterly GDP Growth during the COVID-19 Crisis Using a Monthly Activity Indicator. (2024). Hartigan, Luke ; Rosewall, Tom. In: RBA Research Discussion Papers. RePEc:rba:rbardp:rdp2024-04.

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2025Nowcasting GDP using machine learning methods. (2025). de Winter, Jasper ; Pick, Andreas ; Kant, Dennis. In: AStA Advances in Statistical Analysis. RePEc:spr:alstar:v:109:y:2025:i:1:d:10.1007_s10182-024-00515-0.

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2024Benchmarking econometric and machine learning methodologies in nowcasting GDP. (2024). Hopp, Daniel. In: Empirical Economics. RePEc:spr:empeco:v:66:y:2024:i:5:d:10.1007_s00181-023-02515-6.

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2026Artificial intelligence in African economics: a systematic review of performance and ethical risks. (2026). Forkuo, Gabriel Osei ; Osei-Dwomoh, Emmanuel. In: Future Business Journal. RePEc:spr:futbus:v:12:y:2026:i:1:d:10.1186_s43093-026-00776-y.

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2024What Really Drives Economic Growth in Sub-Saharan Africa? Evidence from the Lasso Regularization and Inferential Techniques. (2024). Obeng, Kwasi ; Asongu, Simplice ; Ofori, Isaac K. In: Journal of the Knowledge Economy. RePEc:spr:jknowl:v:15:y:2024:i:1:d:10.1007_s13132-022-01055-1.

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2024Neighbor Weighting and Distance Metrics in Nearest Neighbor Nowcasting of Swedish GDP. (2024). Jnsson, Kristian. In: Journal of Quantitative Economics. RePEc:spr:jqecon:v:22:y:2024:i:4:d:10.1007_s40953-024-00400-2.

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2025Macroeconomic Nowcasting: What can Central Banks Learn from a Structured Literature Review?. (2025). Kathuria, Vinish ; Sharma, Manu. In: Journal of Quantitative Economics. RePEc:spr:jqecon:v:23:y:2025:i:2:d:10.1007_s40953-024-00421-x.

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2024Pluralist economics in an era of polycrisis. (2024). Hötte, Kerstin ; Schulz, Jan ; Htte, Kerstin ; Mayerhoffer, Daniel M. In: Review of Evolutionary Political Economy. RePEc:spr:revepe:v:5:y:2024:i:2:d:10.1007_s43253-024-00128-y.

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2025Deciphering Long‐Term Economic Growth: An Exploration With Leading Machine Learning Techniques. (2025). Kakinaka, Makoto ; Lin, Chingyang ; Oo, Zin Mar. In: Journal of Forecasting. RePEc:wly:jforec:v:44:y:2025:i:4:p:1531-1562.

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2026GDP Nowcasting With Artificial Neural Networks: How Much Does Long‐Term Memory Matter?. (2026). Hadhzi, Dniel ; Nmeth, Kristf. In: Journal of Forecasting. RePEc:wly:jforec:v:45:y:2026:i:3:p:924-963.

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2024Forecasting economic activity using a neural network in uncertain times: Monte Carlo evidence and application to the German GDP. (2024). Holtemöller, Oliver ; Holtemoller, Oliver ; Kozyrev, Boris. In: IWH Discussion Papers. RePEc:zbw:iwhdps:287749.

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Works by Thomas James van Florenstein Mulder:

YearTitleTypeCited
2019Nowcasting New Zealand GDP using machine learning algorithms In: IFC Bulletins chapters.
[Full Text][Citation analysis]		chapter72
2021Nowcasting 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: 72		article
2018Nowcasting New Zealand GDP Using Machine Learning Algorithms.(2018) In: CAMA Working Papers.
[Full Text][Citation analysis]
This paper has nother version. Agregated cites: 72		paper
2019Forecasting with a Global VAR model In: Reserve Bank of New Zealand Analytical Notes series.
[Full Text][Citation analysis]		paper1
2019The flattening of the Phillips curve: Rounding up the suspects In: Reserve Bank of New Zealand Analytical Notes series.
[Full Text][Citation analysis]		paper4
2020GDP Plus: An Economic Activity Indicator for New Zealand In: Reserve Bank of New Zealand Analytical Notes series.
[Full Text][Citation analysis]		paper0
2020Using job transitions data as a labour market indicator In: Reserve Bank of New Zealand Analytical Notes series.
[Full Text][Citation analysis]		paper0
2024Does the RBNZ respond to exchange rate fluctuations? In: New Zealand Economic Papers.
[Full Text][Citation analysis]		article1

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