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Javier López-de-Lacalle
(Javier Lopez-de-Lacalle)

Personal Details

First Name:Javier
Middle Name:
Last Name:Lopez-de-Lacalle
Suffix:
RePEc Short-ID:plp3
https://jalobe.com

Affiliation

Universidad del País Vasco / Euskal Herriko Unibertsitatea UPV/EHU

http://www.ehu.eus
Barrio Sarriena s/n 48940 Leioa Bizkaia

Research output

as
Jump to: Articles Software

Articles

  1. Vinod, Hrishikesh D. & Lopez-de-Lacalle, Javier, 2009. "Maximum Entropy Bootstrap for Time Series: The meboot R Package," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 29(i05).
  2. Lopez-de-Lacalle, Javier, 2006. "The R-computing language: Potential for Asian economists," Journal of Asian Economics, Elsevier, vol. 17(6), pages 1066-1081, December.

Software components

  1. Javier López-de-Lacalle, 2005. "Periodic Autoregressive Time Series Models in R: The partsm Package," BILCODEC bc2005-01, Universidad del País Vasco - Departamento de Economía Aplicada III (Econometría y Estadística).

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Articles

  1. Vinod, Hrishikesh D. & Lopez-de-Lacalle, Javier, 2009. "Maximum Entropy Bootstrap for Time Series: The meboot R Package," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 29(i05).

    Cited by:

    1. Daniel Kosiorowski & Dominik Mielczarek & Jerzy P. Rydlewski, 2018. "Forecasting of a Hierarchical Functional Time Series on Example of Macromodel for the Day and Night Air Pollution in Silesia Region - A Critical Overview," Central European Journal of Economic Modelling and Econometrics, Central European Journal of Economic Modelling and Econometrics, vol. 10(1), pages 53-73, March.
    2. Hrishikesh Vinod & Lekha S. Chakraborty & Honey Karun, 2014. "If Deficits Are Not the Culprit, What Determines Indian Interest Rates? An Evaluation Using the Maximum Entropy Bootstrap Method," Economics Working Paper Archive wp_811, Levy Economics Institute.
    3. Chakraborty, Lekha, 2015. "Fiscal Seigniorage "Laffer-curve effect" on Central Bank Autonomy in India," Working Papers 15/156, National Institute of Public Finance and Policy.
    4. Grant L. Harley & R. Stockton Maxwell & Bryan A. Black & Matthew F. Bekker, 2020. "A multi-century, tree-ring-derived perspective of the North Cascades (USA) 2014–2016 snow drought," Climatic Change, Springer, vol. 162(1), pages 127-143, September.
    5. Vacca, Gianmarco & Zoia, Maria Grazia & Bagnato, Luca, 2022. "Forecasting in GARCH models with polynomially modified innovations," International Journal of Forecasting, Elsevier, vol. 38(1), pages 117-141.
    6. Alptekin, Aynur & Broadstock, David C. & Chen, Xiaoqi & Wang, Dong, 2019. "Time-varying parameter energy demand functions: Benchmarking state-space methods against rolling-regressions," Energy Economics, Elsevier, vol. 82(C), pages 26-41.
    7. A. R. Soltani & A. R. Nematollahi & M. R. Mahmoudi, 2019. "On the asymptotic distribution of the periodograms for the discrete time harmonizable simple processes," Statistical Inference for Stochastic Processes, Springer, vol. 22(2), pages 307-322, July.
    8. A. Talha Yalta, 2013. "Small Sample Bootstrap Inference of Level Relationships in the Presence of Autocorrelated Errors: A Large Scale Simulation Study and an Application in Energy Demand," Working Papers 1301, TOBB University of Economics and Technology, Department of Economics.
    9. A. Talha Yalta, 2013. "The Dynamics of Road Energy Demand and Illegal Fuel Activity in Turkey: A Rolling Window Analysis," Working Papers 1304, TOBB University of Economics and Technology, Department of Economics, revised Jul 2013.
    10. Recchioni, Maria Cristina & Tedeschi, Gabriele & Gallegati, Mauro, 2014. "A calibration procedure for analyzing stock price dynamics in an agent-based framework," FinMaP-Working Papers 26, Collaborative EU Project FinMaP - Financial Distortions and Macroeconomic Performance: Expectations, Constraints and Interaction of Agents.
    11. Yalta, A. Talha & Yalta, A. Yasemin, 2016. "The dynamics of fuel demand and illegal fuel activity in Turkey," Energy Economics, Elsevier, vol. 54(C), pages 144-158.
    12. Arisara Romyen & Chukiat Chaiboonsri & Satawat Wannapan & Songsak Sriboonchitta, 2019. "Multi-Process-Based Maximum Entropy Bootstrapping Estimator: Application for Net Foreign Direct Investment in ASEAN," Economies, MDPI, vol. 7(3), pages 1-13, July.
    13. Zeinab Zanjani & Pedro Macedo & Isabel Soares, 2021. "Investigating Carbon Emissions from Electricity Generation and GDP Nexus Using Maximum Entropy Bootstrap: Evidence from Oil-Producing Countries in the Middle East," Energies, MDPI, vol. 14(12), pages 1-22, June.
    14. Francesco Campigli & Gabriele Tedeschi & Maria Cristina Recchioni, 2021. "The talkative variables of the hybrid Heston model: Yields’ maturity and economic (in)stability," Working Papers 2021/03, Economics Department, Universitat Jaume I, Castellón (Spain).
    15. Han Lin Shang & Yang Yang & Fearghal Kearney, 2019. "Intraday forecasts of a volatility index: functional time series methods with dynamic updating," Annals of Operations Research, Springer, vol. 282(1), pages 331-354, November.
    16. Daniel Kosiorowski & Dominik Mielczarek & Jerzy. P. Rydlewski, 2017. "Forecasting of a Hierarchical Functional Time Series on Example of Macromodel for Day and Night Air Pollution in Silesia Region: A Critical Overview," Papers 1712.03797, arXiv.org.
    17. Pedro Macedo & Mara Madaleno, 2022. "Global Temperature and Carbon Dioxide Nexus: Evidence from a Maximum Entropy Approach," Energies, MDPI, vol. 16(1), pages 1-13, December.
    18. Galip Altinay & A. Talha Yalta, 2016. "Estimating the evolution of elasticities of natural gas demand: the case of Istanbul, Turkey," Empirical Economics, Springer, vol. 51(1), pages 201-220, August.
    19. Meira, Erick & Cyrino Oliveira, Fernando Luiz & de Menezes, Lilian M., 2022. "Forecasting natural gas consumption using Bagging and modified regularization techniques," Energy Economics, Elsevier, vol. 106(C).
    20. Yanfei Kang & Rob J Hyndman & Feng Li, 2018. "Efficient generation of time series with diverse and controllable characteristics," Monash Econometrics and Business Statistics Working Papers 15/18, Monash University, Department of Econometrics and Business Statistics.
    21. H. D. Vinod, 2022. "Bootstrap Version of Rao–Blackwellization to Two-Step and Instrumental Variable Estimators," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 20(1), pages 49-69, September.
    22. Alam, Mohammad Jahangir & Ahmed, Mumtaz & Begum, Ismat Ara, 2017. "Nexus between non-renewable energy demand and economic growth in Bangladesh: Application of Maximum Entropy Bootstrap approach," Renewable and Sustainable Energy Reviews, Elsevier, vol. 72(C), pages 399-406.
    23. Daniel Kosiorowski & Dominik Mielczarek & Jerzy P. Rydlewski, 2017. "Aggregated moving functional median in robust prediction of hierarchical functional time series - an application to forecasting web portal users behaviors," Papers 1710.02669, arXiv.org, revised Jul 2018.
    24. A. Talha Yalta, 2011. "Analyzing Energy Consumption and GDP Nexus Using Maximum Entropy Bootstrap: The Case of Turkey," Working Papers 1103, TOBB University of Economics and Technology, Department of Economics.
    25. Hrishikesh D. Vinod, 2013. "Maximum Entropy Bootstrap Algorithm Enhancements," Fordham Economics Discussion Paper Series dp2013-04, Fordham University, Department of Economics.
    26. Philippa A. Higgins & Jonathan G. Palmer & Martin S. Andersen & Christian S. M. Turney & Fiona Johnson, 2023. "Extreme events in the multi-proxy South Pacific drought atlas," Climatic Change, Springer, vol. 176(8), pages 1-20, August.
    27. Honey Karun & Hrishikesh Vinod & Chakraborty, Lekha S., 2020. "Did public investment crowd out private investment in India?," Working Papers 20/312, National Institute of Public Finance and Policy.
    28. Mohammad Reza Mahmoudi & Mohsen Maleki, 2017. "A new method to detect periodically correlated structure," Computational Statistics, Springer, vol. 32(4), pages 1569-1581, December.
    29. Aqil Khan & Mumtaz Ahmed & Salma Bibi, 2019. "Financial development and economic growth nexus for Pakistan: a revisit using maximum entropy bootstrap approach," Empirical Economics, Springer, vol. 57(4), pages 1157-1169, October.
    30. Han Lin Shang, 2017. "Reconciling Forecasts of Infant Mortality Rates at National and Sub-National Levels: Grouped Time-Series Methods," Population Research and Policy Review, Springer;Southern Demographic Association (SDA), vol. 36(1), pages 55-84, February.
    31. Mariano Méndez-Suárez, 2021. "Marketing Mix Modeling Using PLS-SEM, Bootstrapping the Model Coefficients," Mathematics, MDPI, vol. 9(15), pages 1-12, August.
    32. Hrishikesh Vinod, 2023. "Taraldsen's Exact Correlation Density," Fordham Economics Discussion Paper Series dp2023-10er:dp2023-10, Fordham University, Department of Economics.
    33. A. Yasemin Yalta, 2011. "New Evidence on FDI-Led Growth: The Case of China," Working Papers 1107, TOBB University of Economics and Technology, Department of Economics.
    34. Garcia-Jorcano, Laura & Sanchis-Marco, Lidia, 2022. "Spillover effects between commodity and stock markets: A SDSES approach," Resources Policy, Elsevier, vol. 79(C).
    35. A. Talha Yalta & Hatice Cakar, 2012. "Energy Consumption and Economic Growth in China: A Reconciliation," Working Papers 1202, TOBB University of Economics and Technology, Department of Economics.
    36. Kosiorowski Daniel & Mielczarek Dominik & Rydlewski Jerzy P. & Snarska Małgorzata, 2018. "Generalized Exponential Smoothing In Prediction Of Hierarchical Time Series," Statistics in Transition New Series, Statistics Poland, vol. 19(2), pages 331-350, June.
    37. Zanjani, Zeinab & Soares, Isabel & Macedo, Pedro, 2023. "Investigating CO2 emissions from aviation in oil producing countries using a two-stage maximum entropy approach," Energy, Elsevier, vol. 278(PA).
    38. Vinod, H.D., 2024. "Portfolio choice algorithms, including exact stochastic dominance," Journal of Financial Stability, Elsevier, vol. 70(C).
    39. Antonio Rubia Serrano & Lidia Sanchis-Marco, 2015. "Measuring Tail-Risk Cross-Country Exposures in the Banking Industry," Working Papers. Serie AD 2015-01, Instituto Valenciano de Investigaciones Económicas, S.A. (Ivie).
    40. Méndez-Suárez, Mariano & Monfort, Abel, 2020. "The amplifying effect of branded queries on advertising in multi-channel retailing," Journal of Business Research, Elsevier, vol. 112(C), pages 254-260.
    41. H.D. Vinod, 2016. "New bootstrap inference for spurious regression problems," Journal of Applied Statistics, Taylor & Francis Journals, vol. 43(2), pages 317-335, February.
    42. Alice B. V. Mello & Maria C. S. Lima & Abraão D. C. Nascimento, 2022. "A notable Gamma‐Lindley first‐order autoregressive process: An application to hydrological data," Environmetrics, John Wiley & Sons, Ltd., vol. 33(4), June.
    43. Karen J. Heeter & Grant L. Harley & Justin T. Maxwell & James H. McGee & Trevis J. Matheus, 2020. "Late summer temperature variability for the Southern Rocky Mountains (USA) since 1735 CE: applying blue light intensity to low-latitude Picea engelmannii Parry ex Engelm," Climatic Change, Springer, vol. 162(2), pages 965-988, September.
    44. Yalta, A. Yasemin, 2013. "Revisiting the FDI-led growth Hypothesis: The case of China," Economic Modelling, Elsevier, vol. 31(C), pages 335-343.
    45. Miroslav Plašil, 2011. "Potenciální produkt, mezera výstupu a míra nejistoty spojená s jejich určením při použití Hodrick-Prescottova filtru [Potential Product, Output Gap and Uncertainty Rate Associated with Their Determ," Politická ekonomie, Prague University of Economics and Business, vol. 2011(4), pages 490-507.
    46. A. Talha Yalta, 2016. "Bootstrap Inference of Level Relationships in the Presence of Serially Correlated Errors: A Large Scale Simulation Study and an Application in Energy Demand," Computational Economics, Springer;Society for Computational Economics, vol. 48(2), pages 339-366, August.
    47. Shang, Han Lin, 2017. "Functional time series forecasting with dynamic updating: An application to intraday particulate matter concentration," Econometrics and Statistics, Elsevier, vol. 1(C), pages 184-200.
    48. Daniel Kosiorowski & Jerzy P. Rydlewski & Małgorzata Snarska, 2019. "Detecting a structural change in functional time series using local Wilcoxon statistic," Statistical Papers, Springer, vol. 60(5), pages 1677-1698, October.
    49. Maria Grazia Zoia & Gianmarco Vacca & Laura Barbieri, 2020. "Modeling Multivariate Financial Series and Computing Risk Measures via Gram–Charlier-Like Expansions," Risks, MDPI, vol. 8(4), pages 1-21, November.
    50. Ahmed, Mumtaz & Riaz, Khalid & Maqbool Khan, Atif & Bibi, Salma, 2015. "Energy consumption–economic growth nexus for Pakistan: Taming the untamed," Renewable and Sustainable Energy Reviews, Elsevier, vol. 52(C), pages 890-896.
    51. H. D. Vinod, 2020. "Software-Illustrated Explanations of Econometrics Contributions by CR Rao for his 100-th Birthday," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 18(2), pages 235-252, June.

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