Jan G. De Gooijer : Citation Profile


Universiteit van Amsterdam

11

H index

11

i10 index

508

Citations

RESEARCH PRODUCTION:

49

Articles

27

Papers

1

Chapters

RESEARCH ACTIVITY:

   48 years (1977 - 2025). See details.
   Cites by year: 10
   Journals where Jan G. De Gooijer has often published
   Relations with other researchers
   Recent citing documents: 23.    Total self citations: 21 (3.97 %)

MORE DETAILS IN:
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   Permalink: http://citec.repec.org/pgo185
   Updated: 2025-12-27    RAS profile: 2025-10-11    
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Relations with other researchers


Works with:

Authors registered in RePEc who have co-authored more than one work in the last five years with Jan G. De Gooijer.

Is cited by:

Clements, Michael (17)

Franses, Philip Hans (13)

GUPTA, RANGAN (13)

Balcilar, Mehmet (10)

Majumdar, Anandamayee (9)

Hendry, David (9)

Miller, Stephen (9)

Zhang, Xibin (8)

King, Maxwell (7)

Shang, Han Lin (7)

Smith, Jeremy (7)

Cites to:

Franses, Philip Hans (13)

Clements, Michael (12)

Diebold, Francis (10)

Smith, Jeremy (10)

Engle, Robert (10)

Hyndman, Rob (9)

Ord, John (9)

Zerom, Dawit (8)

LINTON, OLIVER (7)

Reichlin, Lucrezia (6)

Brännäs, Kurt (6)

Main data


Where Jan G. De Gooijer has published?


Journals with more than one article published# docs
International Journal of Forecasting13
Computational Statistics & Data Analysis6
Scandinavian Journal of Statistics2
Journal of Time Series Analysis2
Journal of Applied Statistics2
Statistics & Probability Letters2
Communications in Statistics - Theory and Methods2

Working Papers Series with more than one paper published# docs
Tinbergen Institute Discussion Papers / Tinbergen Institute14
Ume Economic Studies / Ume University, Department of Economics3
University of Amsterdam, Actuarial Science and Econometrics Archive / University of Amsterdam, Faculty of Economics and Business3

Recent works citing Jan G. De Gooijer (2025 and 2024)


YearTitle of citing document
2024QxEAI: Quantum-like evolutionary algorithm for automated probabilistic forecasting. (2024). Xin, Lizhi. In: Papers. RePEc:arx:papers:2405.03701.

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2025Comparative analysis of financial data differentiation techniques using LSTM neural network. (2025). Gajda, Janusz ; Stempie, Dominik. In: Papers. RePEc:arx:papers:2505.19243.

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2025Hybrid Models for Financial Forecasting: Combining Econometric, Machine Learning, and Deep Learning Models. (2025). Ślepaczuk, Robert ; Stempie, Dominik. In: Papers. RePEc:arx:papers:2505.19617.

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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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202430 years of exchange rate analysis and forecasting: A bibliometric review. (2024). Wang, Shouyang ; Wei, Yunjie ; Fang, Siran. In: Journal of Economic Surveys. RePEc:bla:jecsur:v:38:y:2024:i:3:p:973-1007.

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2024Semiparametric efficient estimation in high‐dimensional partial linear regression models. (2024). Yao, Weixin ; Huang, Mian ; Fu, Xinyu. In: Scandinavian Journal of Statistics. RePEc:bla:scjsta:v:51:y:2024:i:3:p:1259-1287.

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2024Probabilistic forecast-based portfolio optimization of electricity demand at low aggregation levels. (2024). Ahn, Kwangwon ; Park, Jungyeon ; Jeon, Jooyoung ; Kim, Hokyun ; Petropoulos, Fotios ; Alvarenga, Estevo ; Li, Ran. In: Applied Energy. RePEc:eee:appene:v:353:y:2024:i:pb:s0306261923014733.

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2024Persistence of disaggregate energy RD&D expenditures in top-five economies: Evidence from artificial neural network approach. (2024). Avci, Salih Bortecine ; Datan, Muhammet ; Caglar, Abdullah Emre. In: Applied Energy. RePEc:eee:appene:v:365:y:2024:i:c:s0306261924005993.

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2024Estimation of complier expected shortfall treatment effects with a binary instrumental variable. (2024). He, Xuming ; Tan, Kean Ming ; Wei, BO. In: Journal of Econometrics. RePEc:eee:econom:v:238:y:2024:i:2:s0304407623002889.

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

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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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2024Adaptive market hypothesis: A comparison of Islamic and conventional stock indices. (2024). Ali, Shahid ; Rehman, Naser ; Akbar, Muhammad ; Ullah, Ihsan. In: International Review of Economics & Finance. RePEc:eee:reveco:v:89:y:2024:i:pa:p:460-477.

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2024Development of a Real-Time NOx Prediction Soft Sensor Algorithm for Power Plants Based on a Hybrid Boost Integration Model. (2024). Zhuo, Yuqun ; Li, Donghai ; Wang, Shun ; Zhang, RU ; Gan, YU ; Lyu, Tao. In: Energies. RePEc:gam:jeners:v:17:y:2024:i:19:p:4926-:d:1490753.

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2024Community-Aware Evolution Similarity for Link Prediction in Dynamic Social Networks. (2024). Choudhury, Nazim. In: Mathematics. RePEc:gam:jmathe:v:12:y:2024:i:2:p:285-:d:1319693.

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2024Combining Autoregressive Integrated Moving Average Model and Gaussian Process Regression to Improve Stock Price Forecast. (2024). Li, Ying ; Tu, Shiying ; Lu, Juan ; Huang, Jiehu ; Mu, Huailong. In: Mathematics. RePEc:gam:jmathe:v:12:y:2024:i:8:p:1187-:d:1376128.

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2025Traditional Prediction Techniques and Machine Learning Approaches for Financial Time Series Analysis. (2025). Mariella, Leonardo ; de Iaco, Sandra ; Congedi, Antonella ; Cappello, Claudia. In: Mathematics. RePEc:gam:jmathe:v:13:y:2025:i:3:p:537-:d:1584771.

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2025Variable Selection for Additive Quantile Regression with Nonlinear Interaction Structures. (2025). Bai, Yongxin ; Jiang, Jiancheng ; Tian, Maozai. In: Mathematics. RePEc:gam:jmathe:v:13:y:2025:i:9:p:1522-:d:1649533.

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2025A Time Series Approach to Forecasting Financial Indicators in the Wholesale and Retail Trade. (2025). Jenov, Sylvia ; Vaaniov, Petra ; Kokov, Martina ; Mikufov, Marta. In: World. RePEc:gam:jworld:v:6:y:2025:i:1:p:5-:d:1558165.

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2025Cash Flow Forecasting for Self-employed Workers: Fuzzy Inference Systems or Parametric Models?. (2025). Palomero, Luis ; Garca, Vicente ; Snchez, Salvador J. In: Computational Economics. RePEc:kap:compec:v:66:y:2025:i:1:d:10.1007_s10614-024-10723-0.

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2025Forecasting cryptocurrency volatility: a novel framework based on the evolving multiscale graph neural network. (2025). Zhou, Yang ; Xie, Chi ; Zhu, You ; Gong, Jue ; Wang, Gang-Jin. In: Financial Innovation. RePEc:spr:fininn:v:11:y:2025:i:1:d:10.1186_s40854-025-00768-x.

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2025An approach to design deep homogeneous ensembles for the monitoring and prediction of blood glucose level. (2025). Idri, Ali ; Wadghiri, Mohamed Zaim. In: International Journal of System Assurance Engineering and Management. RePEc:spr:ijsaem:v:16:y:2025:i:9:d:10.1007_s13198-025-02793-6.

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2025A Tool to Nowcast Tourist Overnight Stays with Payment Data and Complementary Indicators. (2025). Mariani, Vincenzo ; Crispino, Marta. In: Italian Economic Journal: A Continuation of Rivista Italiana degli Economisti and Giornale degli Economisti. RePEc:spr:italej:v:11:y:2025:i:1:d:10.1007_s40797-024-00266-6.

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2025Insecurity and inflation in Nigeria: a non-parametric causality analysis. (2025). Akpan, Usenobong ; Bako, Rimamtanung ; Akintola, Akinwunmi A. In: SN Business & Economics. RePEc:spr:snbeco:v:5:y:2025:i:9:d:10.1007_s43546-025-00907-7.

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Works by Jan G. De Gooijer:


YearTitleTypeCited
1977On the inverse of the autocovariance matrix for a general mixed autoregressive movie average process In: University of Amsterdam, Actuarial Science and Econometrics Archive.
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paper0
1980FORMULAE FOR THE COVARIANCE STRUCTURE OF THE SAMPLED AUTOCOVARIANCES FROM SERIES GENERATED BY GENERAL AUTOREGRESSIVE INTEGRATED MOVING AVERAGE PROCESSES OF ORDER (n,d,q) d = 0 or 1. In: University of Amsterdam, Actuarial Science and Econometrics Archive.
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paper0
1983Approximate moments for the sampled space-time autocorrelation function In: University of Amsterdam, Actuarial Science and Econometrics Archive.
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paper0
2009Information Flows Around the Globe: Predicting Opening Gaps from Overnight Foreign Stock Price Patterns In: CeNDEF Working Papers.
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paper6
2012Information Flows Around the Globe: Predicting Opening Gaps from Overnight Foreign Stock Price Patterns.(2012) In: Central European Journal of Economic Modelling and Econometrics.
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This paper has nother version. Agregated cites: 6
article
2009Information Flows around the Globe: Predicting Opening Gaps from Overnight Foreign Stock Price Patterns.(2009) In: Tinbergen Institute Discussion Papers.
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This paper has nother version. Agregated cites: 6
paper
2003On Additive Conditional Quantiles With High Dimensional Covariates In: Journal of the American Statistical Association.
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article35
1999Lagged Regression Residuals and Serial-Correlation Tests. In: Journal of Business & Economic Statistics.
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article0
1998On threshold moving‐average models In: Journal of Time Series Analysis.
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article3
2001Cross‐validation Criteria for Setar Model Selection In: Journal of Time Series Analysis.
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article1
2007Semiparametric Regression with Kernel Error Model In: Scandinavian Journal of Statistics.
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article15
2006Semiparametric Regression with Kernel Error Model.(2006) In: Tinbergen Institute Discussion Papers.
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This paper has nother version. Agregated cites: 15
paper
2011Efficient Estimation of an Additive Quantile Regression Model In: Scandinavian Journal of Statistics.
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article1
2009Efficient Estimation of an Additive Quantile Regression Model.(2009) In: MPRA Paper.
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This paper has nother version. Agregated cites: 1
paper
2003On Conditional Density Estimation In: Statistica Neerlandica.
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article18
2002On Conditional Density Estimation.(2002) In: Tinbergen Institute Discussion Papers.
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This paper has nother version. Agregated cites: 18
paper
2020Penalized Averaging of Parametric and Non-Parametric Quantile Forecasts In: Journal of Time Series Econometrics.
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article0
2012Simultaneity and Asymmetry of Returns and Volatilities: The Emerging Baltic States Stock Exchanges In: Studies in Nonlinear Dynamics & Econometrics.
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article2
2005Estimating threshold cointegrated systems In: Economics Bulletin.
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article1
2022Kernel-based hidden Markov conditional densities In: Computational Statistics & Data Analysis.
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article0
1996Component extraction analysis of multivariate time series In: Computational Statistics & Data Analysis.
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article0
2000Nonparametric conditional predictive regions for time series In: Computational Statistics & Data Analysis.
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article11
2003Modeling vector nonlinear time series using POLYMARS In: Computational Statistics & Data Analysis.
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article3
2006Detecting change-points in multidimensional stochastic processes In: Computational Statistics & Data Analysis.
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article6
2011Some exact tests for manifest properties of latent trait models In: Computational Statistics & Data Analysis.
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article3
2010Some Exact Tests for Manifest Properties of Latent Trait Models.(2010) In: Tinbergen Institute Discussion Papers.
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paper
1989Testing non-linearities in world stock market prices In: Economics Letters.
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article5
1980Exact moments of the sample autocorrelations from series generated by general arima processes of order (p, d, q), d=0 or 1 In: Journal of Econometrics.
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article7
2003Nonlinear stochastic inflation modelling using SEASETARs In: Insurance: Mathematics and Economics.
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article2
1995Oliver Duncan Anderson: 1940-1995 In: International Journal of Forecasting.
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article0
1997Forecasting and seasonality In: International Journal of Forecasting.
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article3
2002Introduction to forecasting decisions in conflict situations In: International Journal of Forecasting.
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article0
2004Forecasting threshold cointegrated systems In: International Journal of Forecasting.
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article24
2004Editorial Announcement In: International Journal of Forecasting.
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article0
2005Introduction to nonlinearities, business cycles, and forecasting In: International Journal of Forecasting.
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article1
200625 years of time series forecasting In: International Journal of Forecasting.
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article195
2019Semiparametric quantile averaging in the presence of high-dimensional predictors In: International Journal of Forecasting.
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article1
1990The role of time series analysis in forecasting: A personal view In: International Journal of Forecasting.
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article2
1992On the cumulated multi-step-ahead predictions of vector autoregressive moving average processes In: International Journal of Forecasting.
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article3
1992Some recent developments in non-linear time series modelling, testing, and forecasting In: International Journal of Forecasting.
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article69
1993Nonlinear dynamics, chaos, and instability : William A. Brock, David A. Hsieh and Blake LeBaron, 1991, (MIT Press, Cambridge) 328, pp. [UK pound]29.25. ISBN 0-262-02329-6 In: International Journal of Forecasting.
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article0
1993On predictive least squares principles : C.Z. Wei, The Annals of Statistics 20 (1992), 1-42 In: International Journal of Forecasting.
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article3
1998Forecasting exchange rates using TSMARS In: Journal of International Money and Finance.
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article7
2023On portmanteau-type tests for nonlinear multivariate time series In: Journal of Multivariate Analysis.
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article0
2008Parametric and nonparametric Granger causality testing: Linkages between international stock markets In: Physica A: Statistical Mechanics and its Applications.
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article11
1998On forecasting SETAR processes In: Statistics & Probability Letters.
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article19
2002Mean squared error properties of the kernel-based multi-stage median predictor for time series In: Statistics & Probability Letters.
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article3
2021A multi-step kernel–based regression estimator that adapts to error distributions of unknown form In: LSE Research Online Documents on Economics.
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paper0
1997MODEL SELECTION BY MAXIMUM ENTROPY In: Advances in Econometrics.
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chapter0
1996Testing Linearity against Nonlinear Moving Average Models In: SSE/EFI Working Paper Series in Economics and Finance.
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paper0
1997Testing Linearity against Nonlinear Moving Average Models.(1997) In: Umeå Economic Studies.
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2000ASYMMETRIES IN CONDITIONAL MEAN AND VARIANCE: MODELLING STOCK RETURNS BY asMA-asQGARCH In: Umeå Economic Studies.
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paper13
2004Asymmetries in conditional mean and variance: modelling stock returns by asMA-asQGARCH.(2004) In: Journal of Forecasting.
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2000Asymmetries in Conditional Mean and Variance: Modelling Stock Returns by asMA-asQGARCH.(2000) In: Tinbergen Institute Discussion Papers.
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2007Simultaneity and Asymmetry of Returns and Volatilities in the Emerging Baltic State Stock Exchanges In: Umeå Economic Studies.
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paper5
2023Penalized Averaging of Quantile Forecasts from GARCH Models with Many Exogenous Predictors In: Computational Economics.
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article0
2018Mean–variance and mean–semivariance portfolio selection: a multivariate nonparametric approach In: Financial Markets and Portfolio Management.
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article0
200525 Years of IIF Time Series Forecasting: A Selective Review In: Monash Econometrics and Business Statistics Working Papers.
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paper6
200525 Years of IIF Time Series Forecasting: A Selective Review.(2005) In: Tinbergen Institute Discussion Papers.
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This paper has nother version. Agregated cites: 6
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2021Asymmetric vector moving average models: estimation and testing In: Computational Statistics.
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article0
1992Dynamic factor analysis of nonstationary multivariate time series In: Psychometrika.
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article14
2025Weighted forecasts from SETARs with single- and multiple thresholds In: Statistical Methods & Applications.
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article0
2008Partial sums of lagged cross-products of AR residuals and a test for white noise In: TEST: An Official Journal of the Spanish Society of Statistics and Operations Research.
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article0
2007Power of the Neyman Smooth Test for Evaluating Multivariate Forecast Densities In: Journal of Applied Statistics.
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article5
2024Testing nonlinearity of heavy-tailed time series In: Journal of Applied Statistics.
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article0
2014Asymptotically Informative Prior for Bayesian Analysis In: Communications in Statistics - Theory and Methods.
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article0
2011Asymptotically Informative Prior for Bayesian Analysis.(2011) In: Tinbergen Institute Discussion Papers.
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2016Non parametric portmanteau tests for detecting non linearities in high dimensions In: Communications in Statistics - Theory and Methods.
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article0
1999Nonparametric Regression with Serially Correlated Errors In: Tinbergen Institute Discussion Papers.
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paper0
2000Modelling Seasonalities in Nonlinear Inflation Rates using SEASETARs In: Tinbergen Institute Discussion Papers.
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2004On the u-th Geometric Conditional Quantile In: Tinbergen Institute Discussion Papers.
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paper4
2005Bahadur Representation for the Nonparametric M-Estimator Under Alpha-mixing Dependence In: Tinbergen Institute Discussion Papers.
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paper0
2008MDL Mean Function Selection in Semiparametric Kernel Regression Models In: Tinbergen Institute Discussion Papers.
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paper0
2009Efficient Estimation of an Additive Quantile Regression In: Tinbergen Institute Discussion Papers.
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paper0
2011Kernel-Smoothed Conditional Quantiles of Correlated Bivariate Discrete Data In: Tinbergen Institute Discussion Papers.
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paper1
1987Higher order moments of bilinear time series processes with symmetrically distributed errors In: Research Memorandum.
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paper0
1987Higher order moments of bilinear time series processes with symmetrically distributed errors.(1987) In: Other publications TiSEM.
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