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Heiko Rachinger

Personal Details

First Name:Heiko
Middle Name:
Last Name:Rachinger
Suffix:
RePEc Short-ID:pra1213
[This author has chosen not to make the email address public]
https://sites.google.com/site/heikorachinger/

Affiliation

Departament d'Economia Aplicada
Facultat de Ciències Econòmiques i Empresarials
Universitat de les Illes Balears

Palma de Mallorca, Spain
http://dea.uib.cat/
RePEc:edi:dauibes (more details at EDIRC)

Research output

as
Jump to: Working papers Articles

Working papers

  1. Zuzana Irsova & Pedro R. D. Bom & Tomas Havranek & Heiko Rachinger, 2023. "Spurious Precision in Meta-Analysis," Working Papers IES 2023/05, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, revised Feb 2023.
  2. Roman Fossati & Heiko Rachinger, 2021. "Total Factor Productivity: Exploring firms’ dynamics and heterogeneity over the business cycle," Asociación Argentina de Economía Política: Working Papers 4471, Asociación Argentina de Economía Política.
  3. Dolado, Juan J & Rachinger, Heiko & Velasco, Carlos, 2020. "LM tests for joint breaks in the dynamics and level of a long-memory time series," CEPR Discussion Papers 15435, C.E.P.R. Discussion Papers.

Articles

  1. Jorge V Pérez-Rodríguez & Heiko Rachinger & María Santana-Gallego, 2022. "Does tourism promote economic growth? A fractionally integrated heterogeneous panel data analysis," Tourism Economics, , vol. 28(5), pages 1355-1376, August.
  2. Juan J. Dolado & Heiko Rachinger & Carlos Velasco, 2022. "LM Tests for Joint Breaks in the Dynamics and Level of a Long-Memory Time Series," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 40(2), pages 629-650, April.
  3. del Barrio Castro, Tomás & Rachinger, Heiko, 2021. "Aggregation of Seasonal Long-Memory Processes," Econometrics and Statistics, Elsevier, vol. 17(C), pages 95-106.
  4. Pérez-Rodríguez, Jorge V. & Andrada-Félix, Julián & Rachinger, Heiko, 2021. "Testing the forward volatility unbiasedness hypothesis in exchange rates under long-range dependence," The North American Journal of Economics and Finance, Elsevier, vol. 57(C).
  5. Roman Fossati & Heiko Rachinger & Matheus Stivali, 2021. "Extent and potential determinants of resource misallocation: A cross‐sectional study for developing countries," The World Economy, Wiley Blackwell, vol. 44(5), pages 1338-1379, May.
  6. Yu, Ting-Hung & Tsai, Henghsiu & Rachinger, Heiko, 2020. "Approximate maximum likelihood estimation of a threshold diffusion process," Computational Statistics & Data Analysis, Elsevier, vol. 142(C).
  7. Oleg Mariyev & Igor Drapkin & Kristina Chukavina & Heiko Rachinger, 2016. "Determinants Of Fdi Inflows: The Case Of Russian Regions," Economy of region, Centre for Economic Security, Institute of Economics of Ural Branch of Russian Academy of Sciences, vol. 1(4), pages 1244-1252.
    • Mariev Oleg Svyatoslavovich & Drapkin Igor Mikhailovich & Chukavina Kristina Vladimirovna & Rachinger Heiko, 2016. "Determinants of FDI inflows: the case of Russian regions," Экономика региона, CyberLeninka;Федеральное государственное бюджетное учреждение науки «Институт экономики Уральского отделения Российской академии наук», vol. 12(4), pages 1244-1252.
  8. Henghsiu Tsai & Heiko Rachinger & Edward M.H. Lin, 2015. "Inference of Seasonal Long-memory Time Series with Measurement Error," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 42(1), pages 137-154, March.

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.

Working papers

  1. Zuzana Irsova & Pedro R. D. Bom & Tomas Havranek & Heiko Rachinger, 2023. "Spurious Precision in Meta-Analysis," Working Papers IES 2023/05, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, revised Feb 2023.

    Cited by:

    1. Ali Elminejad & Tomas Havranek & Roman Horvath & Zuzana Irsova, 2023. "Online Appendix to "Intertemporal Substitution in Labor Supply: A Meta-Analysis"," Online Appendices 23-196, Review of Economic Dynamics.
    2. Pazzona, Matteo, 2024. "Revisiting the Income Inequality-Crime Puzzle," World Development, Elsevier, vol. 176(C).
    3. Opatrny, Matej & Havranek, Tomas & Irsova, Zuzana & Scasny, Milan, 2023. "Publication Bias and Model Uncertainty in Measuring the Effect of Class Size on Achievement," EconStor Preprints 270952, ZBW - Leibniz Information Centre for Economics.
    4. Zuzana Irsova & Hristos Doucouliagos & Tomas Havranek & T. D. Stanley, 2023. "Meta-Analysis of Social Science Research: A Practitioner´s Guide," Working Papers IES 2023/25, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, revised Sep 2023.
    5. Ichiro Iwasaki & Evžen Kočenda, 2024. "Quest for the general effect size of finance on growth: a large meta-analysis of worldwide studies," Empirical Economics, Springer, vol. 66(6), pages 2659-2722, June.
    6. Marvin Schütt, 2024. "Wind Turbines and Property Values: A Meta-Regression Analysis," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 87(1), pages 1-43, January.
    7. Tersoo David Iorngurum, 2023. "Method Versus Cross-Country Heterogeneity in the Exchange Rate Pass-Through," Working Papers IES 2023/16, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, revised May 2023.
    8. T. D. Stanley & Hristos Doucouliagos & Tomas Havranek, 2023. "Reducing the Biases of the Conventional Meta-Analysis of Correlations," Working Papers IES 2023/34, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, revised Dec 2023.

Articles

  1. Jorge V Pérez-Rodríguez & Heiko Rachinger & María Santana-Gallego, 2022. "Does tourism promote economic growth? A fractionally integrated heterogeneous panel data analysis," Tourism Economics, , vol. 28(5), pages 1355-1376, August.

    Cited by:

    1. Rupika Khanna & Chandan Sharma & Abhay Pant, 2022. "COVID-19, firm characteristics and stock volatility: new evidence from the Indian tourism sector," International Journal of Emerging Markets, Emerald Group Publishing Limited, vol. 19(6), pages 1563-1585, October.
    2. Juan L Eugenio-Martin & Roberto Patuelli, 2022. "Panel data models in tourism research: Innovative applications and methods," Tourism Economics, , vol. 28(5), pages 1348-1354, August.
    3. Chenghao Zhong & Wengao Lou & Yongzeng Lai, 2023. "A Projection Pursuit Dynamic Cluster Model for Tourism Safety Early Warning and Its Implications for Sustainable Tourism," Mathematics, MDPI, vol. 11(24), pages 1-17, December.

  2. del Barrio Castro, Tomás & Rachinger, Heiko, 2021. "Aggregation of Seasonal Long-Memory Processes," Econometrics and Statistics, Elsevier, vol. 17(C), pages 95-106.

    Cited by:

    1. del Barrio Castro, Tomás & Osborn, Denise R., 2023. "Periodic Integration and Seasonal Unit Roots," MPRA Paper 117935, University Library of Munich, Germany, revised 2023.

  3. Yu, Ting-Hung & Tsai, Henghsiu & Rachinger, Heiko, 2020. "Approximate maximum likelihood estimation of a threshold diffusion process," Computational Statistics & Data Analysis, Elsevier, vol. 142(C).

    Cited by:

    1. Zhao, Zhenwen & Xi, Yuejuan, 2021. "The first passage time on the (reflected) Brownian motion with broken drift hitting a random boundary," Statistics & Probability Letters, Elsevier, vol. 171(C).
    2. Heiko Rachinger & Edward M. H. Lin & Henghsiu Tsai, 2024. "A bootstrap test for threshold effects in a diffusion process," Computational Statistics, Springer, vol. 39(5), pages 2859-2872, July.
    3. Kirkby, J.L. & Nguyen, Dang H. & Nguyen, Duy & Nguyen, Nhu N., 2022. "Maximum likelihood estimation of diffusions by continuous time Markov chain," Computational Statistics & Data Analysis, Elsevier, vol. 168(C).

  4. Oleg Mariyev & Igor Drapkin & Kristina Chukavina & Heiko Rachinger, 2016. "Determinants Of Fdi Inflows: The Case Of Russian Regions," Economy of region, Centre for Economic Security, Institute of Economics of Ural Branch of Russian Academy of Sciences, vol. 1(4), pages 1244-1252.
    • Mariev Oleg Svyatoslavovich & Drapkin Igor Mikhailovich & Chukavina Kristina Vladimirovna & Rachinger Heiko, 2016. "Determinants of FDI inflows: the case of Russian regions," Экономика региона, CyberLeninka;Федеральное государственное бюджетное учреждение науки «Институт экономики Уральского отделения Российской академии наук», vol. 12(4), pages 1244-1252.

    Cited by:

    1. Rogneda Groznykh & Igor Drapkin & Oleg Mariev, 2019. "Determinants Of Foreign Direct Investment Inflows: The Case Of Heterogeneous Russian Regions," Proceedings of Economics and Finance Conferences 8911540, International Institute of Social and Economic Sciences.
    2. Yerkezhan Akhmetzaki & Bulat Mukhamediyev, 2017. "Fdi Determinants In The Eurasian Economic Union Countries And Eurasian Economic Integration Effect On Fdi Inflows," Economy of region, Centre for Economic Security, Institute of Economics of Ural Branch of Russian Academy of Sciences, vol. 1(3), pages 959-970.

  5. Henghsiu Tsai & Heiko Rachinger & Edward M.H. Lin, 2015. "Inference of Seasonal Long-memory Time Series with Measurement Error," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 42(1), pages 137-154, March.

    Cited by:

    1. Manabu Asai & Shelton Peiris & Michael McAleer & David E. Allen, 2018. "Cointegrated Dynamics for A Generalized Long Memory Process: An Application to Interest Rates," Documentos de Trabajo del ICAE 2018-22, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
    2. Asai, M. & Chang, C-L. & McAleer, M.J., 2017. "Realized Stochastic Volatility with General Asymmetry and Long Memory," Econometric Institute Research Papers TI 2017-038/III, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    3. Asai, M. & McAleer, M.J. & Peiris, S., 2017. "Realized Stochastic Volatility Models with Generalized Gegenbauer Long Memory," Econometric Institute Research Papers EI2017-29, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    4. Reisen, Valdério Anselmo & Monte, Edson Zambon & da Conceição Franco, Glaura & Sgrancio, Adriano Marcio & Molinares, Fábio Alexander Fajardo & Bondon, Pascal & Ziegelmann, Flávio Augusto & Abraham, Bo, 2018. "Robust estimation of fractional seasonal processes: Modeling and forecasting daily average SO2 concentrations," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 146(C), pages 27-43.
    5. Asai, M. & Peiris, S. & McAleer, M.J. & Allen, D.E., 2018. "Cointegrated Dynamics for A Generalized Long Memory Process," Econometric Institute Research Papers EI 2018-32, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.

More information

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Statistics

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Co-authorship network on CollEc

NEP Fields

NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 3 papers announced in NEP. These are the fields, ordered by number of announcements, along with their dates. If the author is listed in the directory of specialists for this field, a link is also provided.
  1. NEP-ECM: Econometrics (2) 2021-05-24 2023-03-13. Author is listed
  2. NEP-BEC: Business Economics (1) 2023-04-10. Author is listed
  3. NEP-EFF: Efficiency and Productivity (1) 2023-04-10. Author is listed
  4. NEP-SBM: Small Business Management (1) 2023-04-10. Author is listed

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