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Carlos Vladimir Rodríguez Caballero

Personal Details

First Name:Carlos
Middle Name:Vladimir
Last Name:Rodriguez Caballero
Suffix:
RePEc Short-ID:pro761
[This author has chosen not to make the email address public]
http://c-vladimir-rodriguez-caballero.weebly.com/
Río Hondo No.1, Col. Progreso Tizapán, Álvaro Obregón, CDMX. 01080. Mexico
Terminal Degree:2016 Center for Research in Econometric Analysis of Time Series (CREATES); Institut for Økonomi; Aarhus Universitet (from RePEc Genealogy)

Affiliation

Departamento Académico de Estadística
Instituto Tecnólogico Autónomo de México (ITAM)

México, Mexico
https://estadistica.itam.mx/
RePEc:edi:dsitamx (more details at EDIRC)

Research output

as
Jump to: Working papers Articles

Working papers

  1. González-Rivera, Gloria & Rodríguez Caballero, Carlos Vladimir & Ruiz Ortega, Esther, 2023. "Modelling intervals of minimum/maximum temperatures in the Iberian Peninsula," DES - Working Papers. Statistics and Econometrics. WS 37968, Universidad Carlos III de Madrid. Departamento de Estadística.
  2. De Juan Fernández, Aránzazu & Poncela, Pilar & Rodríguez Caballero, Carlos Vladimir & Ruiz Ortega, Esther, 2022. "Economic activity and climate change," DES - Working Papers. Statistics and Econometrics. WS 35044, Universidad Carlos III de Madrid. Departamento de Estadística.
  3. Gloria González-Rivera & Carlos Vladimir Rodríguez-Caballero & Esther Ruiz Ortega, 2021. "Expecting the unexpected: economic growth under stress," CREATES Research Papers 2021-06, Department of Economics and Business Economics, Aarhus University.
  4. Prados de la Escosura, Leandro & Rodriguez-Caballero, Carlos Vladimir, 2020. "Growth, War, and Pandemics: Europe in the Very Long-run," CEPR Discussion Papers 14816, C.E.P.R. Discussion Papers.
  5. Carlos Vladimir Rodríguez-Caballero & J. Eduardo Vera-Valdés, 2020. "Air pollution and mobility in the Mexico City Metropolitan Area, what drives the COVID-19 death toll?," CREATES Research Papers 2020-15, Department of Economics and Business Economics, Aarhus University.
  6. Duván Humberto Cataño & Carlos Vladimir Rodríguez-Caballero & Daniel Peña, 2019. "Wavelet Estimation for Dynamic Factor Models with Time-Varying Loadings," CREATES Research Papers 2019-23, Department of Economics and Business Economics, Aarhus University.
  7. Carlos Vladimir Rodríguez-Caballero & Massimiliano Caporin, 2018. "A multilevel factor approach for the analysis of CDS commonality and risk contribution," CREATES Research Papers 2018-33, Department of Economics and Business Economics, Aarhus University.
  8. Ergemen, Yunus Emre & Rodríguez Caballero, Carlos Vladimir, 2017. "Estimation of a Dynamic Multilevel Factor Model with possible long-range dependence," DES - Working Papers. Statistics and Econometrics. WS 24614, Universidad Carlos III de Madrid. Departamento de Estadística.
  9. Yunus Emre Ergemen & Carlos Vladimir Rodríguez-Caballero, 2016. "A Dynamic Multi-Level Factor Model with Long-Range Dependence," CREATES Research Papers 2016-23, Department of Economics and Business Economics, Aarhus University.
  10. Carlos Vladimir Rodríguez-Caballero, 2016. "Panel Data with Cross-Sectional Dependence Characterized by a Multi-Level Factor Structure," CREATES Research Papers 2016-31, Department of Economics and Business Economics, Aarhus University.
  11. Yunus Emre Ergemen & Niels Haldrup & Carlos Vladimir Rodríguez-Caballero, 2015. "Common long-range dependence in a panel of hourly Nord Pool electricity prices and loads," CREATES Research Papers 2015-58, Department of Economics and Business Economics, Aarhus University.
  12. Daniel Ventosa-Santaulària & Carlos Vladimir Rodríguez-Caballero, 2013. "Polynomial Regressions and Nonsense Inference," CREATES Research Papers 2013-40, Department of Economics and Business Economics, Aarhus University.

Articles

  1. Ergemen, Yunus Emre & Rodríguez-Caballero, C. Vladimir, 2023. "Estimation of a dynamic multi-level factor model with possible long-range dependence," International Journal of Forecasting, Elsevier, vol. 39(1), pages 405-430.
  2. Rodríguez-Caballero, Carlos Vladimir, 2022. "Energy consumption and GDP: a panel data analysis with multi-level cross-sectional dependence," Econometrics and Statistics, Elsevier, vol. 23(C), pages 128-146.
  3. C. Vladimir Rodríguez-Caballero & Mauricio Villanueva-Domínguez, 2022. "Predicting cryptocurrency crash dates," Empirical Economics, Springer, vol. 63(6), pages 2855-2873, December.
  4. Prados de la Escosura, Leandro & Rodríguez-Caballero, C. Vladimir, 2022. "War, pandemics, and modern economic growth in Europe," Explorations in Economic History, Elsevier, vol. 86(C).
  5. Arnoldo López-Marmolejo & Carlos Vladimir Rodríguez-Caballero & Daniel Ventosa-Santaulà ria, 2021. "Remittances at record highs in Latin America: Time to revisit the Dutch disease," Economics Bulletin, AccessEcon, vol. 41(3), pages 2133-2146.
  6. C. Vladimir Rodríguez-Caballero & J. Eduardo Vera-Valdés, 2021. "Air Pollution and Mobility, What Carries COVID-19?," Econometrics, MDPI, vol. 9(4), pages 1-17, October.
  7. C. Vladimir Rodríguez-Caballero & J. Eduardo Vera-Valdés, 2020. "Long-Lasting Economic Effects of Pandemics:Evidence on Growth and Unemployment," Econometrics, MDPI, vol. 8(3), pages 1-16, September.
  8. Rodríguez-Caballero, Carlos Vladimir & Caporin, Massimiliano, 2019. "A multilevel factor approach for the analysis of CDS commonality and risk contribution," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 63(C).
  9. Rodríguez-Caballero, Carlos Vladimir & Ventosa-Santaulària, Daniel, 2017. "Energy-growth long-term relationship under structural breaks. Evidence from Canada, 17 Latin American economies and the USA," Energy Economics, Elsevier, vol. 61(C), pages 121-134.
  10. Ergemen, Yunus Emre & Haldrup, Niels & Rodríguez-Caballero, Carlos Vladimir, 2016. "Common long-range dependence in a panel of hourly Nord Pool electricity prices and loads," Energy Economics, Elsevier, vol. 60(C), pages 79-96.
  11. Carlos Vladimir Rodriguez-Caballero & Daniel Ventosa-Santaularia, 2014. "Granger Causality and Unit Roots," Journal of Statistical and Econometric Methods, SCIENPRESS Ltd, vol. 3(1), pages 1-7.
  12. Carlos Vladimir Rodríguez-Caballero & Oskar Knapik, 2014. "Bayesian log-periodic model for financial crashes," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 87(10), pages 1-14, October.
  13. Daniel Ventosa-Santaulària & Carlos Vladimir Rodríguez-Caballero, 2013. "Polynomial Regressions and Nonsense Inference," Econometrics, MDPI, vol. 1(3), pages 1-13, November.
  14. Osvaldo Espin-García & Carlos Vladimir Rodríguez-Caballero, 2013. "Metodología para un scoring de clientes sin referencias crediticias," Revista Cuadernos de Economia, Universidad Nacional de Colombia, FCE, CID, May.

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. De Juan Fernández, Aránzazu & Poncela, Pilar & Rodríguez Caballero, Carlos Vladimir & Ruiz Ortega, Esther, 2022. "Economic activity and climate change," DES - Working Papers. Statistics and Econometrics. WS 35044, Universidad Carlos III de Madrid. Departamento de Estadística.

    Cited by:

    1. Juan, Aranzazu de & Poncela, Maria Pilar & Ruiz Ortega, Esther, 2023. "Economic activity and C02 emissions in Spain," DES - Working Papers. Statistics and Econometrics. WS 37975, Universidad Carlos III de Madrid. Departamento de Estadística.

  2. Gloria González-Rivera & Carlos Vladimir Rodríguez-Caballero & Esther Ruiz Ortega, 2021. "Expecting the unexpected: economic growth under stress," CREATES Research Papers 2021-06, Department of Economics and Business Economics, Aarhus University.

    Cited by:

    1. Fresoli, Diego & Poncela, Pilar & Ruiz, Esther, 2023. "Ignoring cross-correlated idiosyncratic components when extracting factors in dynamic factor models," Economics Letters, Elsevier, vol. 230(C).

  3. Prados de la Escosura, Leandro & Rodriguez-Caballero, Carlos Vladimir, 2020. "Growth, War, and Pandemics: Europe in the Very Long-run," CEPR Discussion Papers 14816, C.E.P.R. Discussion Papers.

    Cited by:

    1. Dosi, G. & Pereira, M.C. & Roventini, A. & Virgillito, M.E., 2022. "Technological paradigms, labour creation and destruction in a multi-sector agent-based model," Research Policy, Elsevier, vol. 51(10).
    2. González-Álvarez, María A. & Montañés, Antonio, 2023. "CO2 emissions, energy consumption, and economic growth: Determining the stability of the 3E relationship," Economic Modelling, Elsevier, vol. 121(C).

  4. Carlos Vladimir Rodríguez-Caballero & Massimiliano Caporin, 2018. "A multilevel factor approach for the analysis of CDS commonality and risk contribution," CREATES Research Papers 2018-33, Department of Economics and Business Economics, Aarhus University.

    Cited by:

    1. Ergemen, Yunus Emre & Rodríguez-Caballero, C. Vladimir, 2023. "Estimation of a dynamic multi-level factor model with possible long-range dependence," International Journal of Forecasting, Elsevier, vol. 39(1), pages 405-430.
    2. Gloria Gonzalez-Rivera & Vladimir Rodriguez-Caballero & Esther Ruiz, 2021. "Expecting the unexpected: economic growth under stress," Working Papers 202106, University of California at Riverside, Department of Economics.
    3. Rodríguez-Caballero, Carlos Vladimir, 2022. "Energy consumption and GDP: a panel data analysis with multi-level cross-sectional dependence," Econometrics and Statistics, Elsevier, vol. 23(C), pages 128-146.

  5. Ergemen, Yunus Emre & Rodríguez Caballero, Carlos Vladimir, 2017. "Estimation of a Dynamic Multilevel Factor Model with possible long-range dependence," DES - Working Papers. Statistics and Econometrics. WS 24614, Universidad Carlos III de Madrid. Departamento de Estadística.

    Cited by:

    1. Carlos Vladimir Rodríguez-Caballero & Massimiliano Caporin, 2018. "A multilevel factor approach for the analysis of CDS commonality and risk contribution," CREATES Research Papers 2018-33, Department of Economics and Business Economics, Aarhus University.
    2. Camacho, Maximo & Lopez-Buenache, German, 2023. "Factor models for large and incomplete data sets with unknown group structure," International Journal of Forecasting, Elsevier, vol. 39(3), pages 1205-1220.

  6. Yunus Emre Ergemen & Carlos Vladimir Rodríguez-Caballero, 2016. "A Dynamic Multi-Level Factor Model with Long-Range Dependence," CREATES Research Papers 2016-23, Department of Economics and Business Economics, Aarhus University.

    Cited by:

    1. Francisco Corona & Graciela González-Farías & Pedro Orraca, 2017. "A dynamic factor model for the Mexican economy: are common trends useful when predicting economic activity?," Latin American Economic Review, Springer;Centro de Investigaciòn y Docencia Económica (CIDE), vol. 26(1), pages 1-35, December.
    2. Carlos Vladimir Rodríguez-Caballero, 2016. "Panel Data with Cross-Sectional Dependence Characterized by a Multi-Level Factor Structure," CREATES Research Papers 2016-31, Department of Economics and Business Economics, Aarhus University.
    3. Rodríguez-Caballero, Carlos Vladimir, 2022. "Energy consumption and GDP: a panel data analysis with multi-level cross-sectional dependence," Econometrics and Statistics, Elsevier, vol. 23(C), pages 128-146.

  7. Yunus Emre Ergemen & Niels Haldrup & Carlos Vladimir Rodríguez-Caballero, 2015. "Common long-range dependence in a panel of hourly Nord Pool electricity prices and loads," CREATES Research Papers 2015-58, Department of Economics and Business Economics, Aarhus University.

    Cited by:

    1. Martin-Valmayor, Miguel A. & Gil-Alana, Luis A. & Infante, Juan, 2023. "Energy prices in Europe. Evidence of persistence across markets," Resources Policy, Elsevier, vol. 82(C).
    2. Thomaidis, Nikolaos S. & Biskas, Pandelis N., 2021. "Fundamental pricing laws and long memory effects in the day-ahead power market," Energy Economics, Elsevier, vol. 100(C).
    3. Ergemen, Yunus Emre & Rodríguez-Caballero, C. Vladimir, 2023. "Estimation of a dynamic multi-level factor model with possible long-range dependence," International Journal of Forecasting, Elsevier, vol. 39(1), pages 405-430.
    4. Lahmiri, Salim & Bekiros, Stelios, 2021. "The effect of COVID-19 on long memory in returns and volatility of cryptocurrency and stock markets," Chaos, Solitons & Fractals, Elsevier, vol. 151(C).
    5. Daniel Borup & Bent Jesper Christensen & Yunus Emre Ergemen, 2019. "Assessing predictive accuracy in panel data models with long-range dependence," CREATES Research Papers 2019-04, Department of Economics and Business Economics, Aarhus University.
    6. Ergemen, Yunus Emre, 2023. "Parametric estimation of long memory in factor models," Journal of Econometrics, Elsevier, vol. 235(2), pages 1483-1499.
    7. Yunus Emre Ergemen & Carlos Vladimir Rodríguez-Caballero, 2016. "A Dynamic Multi-Level Factor Model with Long-Range Dependence," CREATES Research Papers 2016-23, Department of Economics and Business Economics, Aarhus University.
    8. Chang, Kai & Zhang, Chao, 2018. "Asymmetric dependence structure between emissions allowances and wholesale diesel/gasoline prices in emerging China's emissions trading scheme pilots," Energy, Elsevier, vol. 164(C), pages 124-136.
    9. Michail I. Seitaridis & Nikolaos S. Thomaidis & Pandelis N. Biskas, 2021. "Fundamental Responsiveness in European Electricity Prices," Energies, MDPI, vol. 14(22), pages 1-14, November.
    10. Rodríguez-Caballero, Carlos Vladimir, 2022. "Energy consumption and GDP: a panel data analysis with multi-level cross-sectional dependence," Econometrics and Statistics, Elsevier, vol. 23(C), pages 128-146.
    11. Duván Humberto Cataño & Carlos Vladimir Rodríguez-Caballero & Daniel Peña, 2019. "Wavelet Estimation for Dynamic Factor Models with Time-Varying Loadings," CREATES Research Papers 2019-23, Department of Economics and Business Economics, Aarhus University.
    12. Didier Nibbering & Coos van Buuren & Wei Wei, 2021. "Real Options Valuation of Wind Energy Based on the Empirical Production Uncertainty," Monash Econometrics and Business Statistics Working Papers 19/21, Monash University, Department of Econometrics and Business Statistics.

Articles

  1. Ergemen, Yunus Emre & Rodríguez-Caballero, C. Vladimir, 2023. "Estimation of a dynamic multi-level factor model with possible long-range dependence," International Journal of Forecasting, Elsevier, vol. 39(1), pages 405-430.
    See citations under working paper version above.
  2. Prados de la Escosura, Leandro & Rodríguez-Caballero, C. Vladimir, 2022. "War, pandemics, and modern economic growth in Europe," Explorations in Economic History, Elsevier, vol. 86(C).

    Cited by:

    1. Puscasu Ela-Andrada, 2023. "The Impact of Russia’s Invasion of Ukraine on the Capital Markets from the CEE Countries," Proceedings of the International Conference on Business Excellence, Sciendo, vol. 17(1), pages 1791-1806, July.

  3. C. Vladimir Rodríguez-Caballero & J. Eduardo Vera-Valdés, 2020. "Long-Lasting Economic Effects of Pandemics:Evidence on Growth and Unemployment," Econometrics, MDPI, vol. 8(3), pages 1-16, September.

    Cited by:

    1. Ilan Noy & Tomáš Uher, 2022. "Economic consequences of pre-COVID-19 epidemics: a literature review," Chapters, in: Mark Skidmore (ed.), Handbook on the Economics of Disasters, chapter 7, pages 117-133, Edward Elgar Publishing.
    2. Dominika Gajdosikova & Katarina Valaskova & Tomas Kliestik & Veronika Machova, 2022. "COVID-19 Pandemic and Its Impact on Challenges in the Construction Sector: A Case Study of Slovak Enterprises," Mathematics, MDPI, vol. 10(17), pages 1-20, September.
    3. Nitya Mittal & Janina Isabel Steinert & Sebastian Vollmer, 2023. "COVID-19 pandemic, losses of livelihoods and uneven recovery in Pune, India," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-10, December.

  4. Rodríguez-Caballero, Carlos Vladimir & Caporin, Massimiliano, 2019. "A multilevel factor approach for the analysis of CDS commonality and risk contribution," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 63(C).
    See citations under working paper version above.
  5. Rodríguez-Caballero, Carlos Vladimir & Ventosa-Santaulària, Daniel, 2017. "Energy-growth long-term relationship under structural breaks. Evidence from Canada, 17 Latin American economies and the USA," Energy Economics, Elsevier, vol. 61(C), pages 121-134.

    Cited by:

    1. Shahbaz, Muhammad & Zakaria, Muhammad & Shahzad, Syed Jawad Hussain & Mahalik, Mantu Kumar, 2018. "The energy consumption and economic growth nexus in top ten energy-consuming countries: Fresh evidence from using the quantile-on-quantile approach," Energy Economics, Elsevier, vol. 71(C), pages 282-301.
    2. Leiva, Benjamin & Liu, Zhongyuan, 2019. "Energy and economic growth in the USA two decades later: Replication and reanalysis," Energy Economics, Elsevier, vol. 82(C), pages 89-99.
    3. Salisu, Afees A. & Ogbonna, Ahamuefula E., 2019. "Another look at the energy-growth nexus: New insights from MIDAS regressions," Energy, Elsevier, vol. 174(C), pages 69-84.
    4. Russo, Danilo & Muscetta, Marica & Clarizia, Laura & Di Somma, Ilaria & Garlisi, Corrado & Marotta, Raffaele & Palmisano, Giovanni & Andreozzi, Roberto, 2020. "Photoactivated Fe(III)/Fe(II)/WO3–Pd fuel cell for electricity generation using synthetic and real effluents under visible light," Renewable Energy, Elsevier, vol. 147(P1), pages 1070-1081.
    5. Bruns, Stephan B. & König, Johannes & Stern, David I., 2019. "Replication and robustness analysis of ‘energy and economic growth in the USA: A multivariate approach’," Energy Economics, Elsevier, vol. 82(C), pages 100-113.
    6. Benjamin Leiva & Mar Rubio-Varas, 2020. "The Energy and Gross Domestic Product Causality Nexus in Latin America 1900-2010," International Journal of Energy Economics and Policy, Econjournals, vol. 10(1), pages 423-435.
    7. Jacek Brożyna & Grzegorz Mentel & Eva Ivanová & Gennadii Sorokin, 2019. "Classification of Renewable Sources of Electricity in the Context of Sustainable Development of the New EU Member States," Energies, MDPI, vol. 12(12), pages 1-22, June.
    8. Mehmet Balcilar & Zeynel Abidin Ozdemir & Huseyin Ozdemir & Muhammad Shahbaz, 2018. "Carbon dioxide emissions, energy consumption and economic growth: The historical decomposition evidence from G-7 countries," Working Papers 15-41, Eastern Mediterranean University, Department of Economics.
    9. Abdullah Emre ÇAĞLAR & Çiğdem DEMİR, 2018. "Yenilenebilir Kaynaklı Enerji Tüketimi ve Ekonomik Büyüme İlişkisi: Avrupa Birliğine Ait Yeni Bulgular," EKOIST Journal of Econometrics and Statistics, Istanbul University, Faculty of Economics, vol. 14(28), pages 9-30, December.
    10. Mehmet Balcilar & Zeynel Abidin Ozdemir & Bedriye Tunçsiper & Huseyin Ozdemir & Muhammad Shahbaz, 2020. "On the nexus among carbon dioxide emissions, energy consumption and economic growth in G-7 countries: new insights from the historical decomposition approach," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 22(8), pages 8097-8134, December.
    11. Inayatullah Jan & Shazia Farhat Durrani & Himayatullah Khan, 2021. "Does renewable energy efficiently spur economic growth? Evidence from Pakistan," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(1), pages 373-387, January.
    12. Carlos Vladimir Rodriguez-Caballero & Daniel Ventosa-Santaularia, 2014. "Granger Causality and Unit Roots," Journal of Statistical and Econometric Methods, SCIENPRESS Ltd, vol. 3(1), pages 1-7.

  6. Ergemen, Yunus Emre & Haldrup, Niels & Rodríguez-Caballero, Carlos Vladimir, 2016. "Common long-range dependence in a panel of hourly Nord Pool electricity prices and loads," Energy Economics, Elsevier, vol. 60(C), pages 79-96.
    See citations under working paper version above.
  7. Carlos Vladimir Rodriguez-Caballero & Daniel Ventosa-Santaularia, 2014. "Granger Causality and Unit Roots," Journal of Statistical and Econometric Methods, SCIENPRESS Ltd, vol. 3(1), pages 1-7.

    Cited by:

    1. Antonietti, Roberto & Fontini, Fulvio, 2019. "Does energy price affect energy efficiency? Cross-country panel evidence," Energy Policy, Elsevier, vol. 129(C), pages 896-906.
    2. Mariana Kaneva, 2016. "Telecommunications Infrastructure And Gdp /Jipp Curve/," Economics and computer science, Publishing house "Knowledge and business" Varna, issue 4, pages 7-58.
    3. Rodríguez-Caballero, Carlos Vladimir & Ventosa-Santaulària, Daniel, 2017. "Energy-growth long-term relationship under structural breaks. Evidence from Canada, 17 Latin American economies and the USA," Energy Economics, Elsevier, vol. 61(C), pages 121-134.

  8. Carlos Vladimir Rodríguez-Caballero & Oskar Knapik, 2014. "Bayesian log-periodic model for financial crashes," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 87(10), pages 1-14, October.

    Cited by:

    1. Molina-Muñoz, Jesús & Mora-Valencia, Andrés & Perote, Javier, 2020. "Market-crash forecasting based on the dynamics of the alpha-stable distribution," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 557(C).
    2. C. Vladimir Rodríguez-Caballero & Mauricio Villanueva-Domínguez, 2022. "Predicting cryptocurrency crash dates," Empirical Economics, Springer, vol. 63(6), pages 2855-2873, December.

  9. Osvaldo Espin-García & Carlos Vladimir Rodríguez-Caballero, 2013. "Metodología para un scoring de clientes sin referencias crediticias," Revista Cuadernos de Economia, Universidad Nacional de Colombia, FCE, CID, May.

    Cited by:

    1. Alexi Ludovic Leal Fica & Marco Antonio Aranguiz Casanova & Juan Gallegos Mardones, 2017. "Análisis de riesgo crediticio, propuesta del modelo credit scoring," Revista Facultad de Ciencias Económicas, Universidad Militar Nueva Granada, vol. 26(1), pages 181-207, December.
    2. Rodríguez-García, Jair Hissarly & Venegas-Martínez, Francisco, 2021. "Reducción de la brecha del crédito en México en un ambiente de incertidumbre generada por la pandemia COVID-19: Un enfoque de ciencia de datos (machine learning) [Reducing the credit gap in Mexico ," MPRA Paper 105133, University Library of Munich, Germany.

More information

Research fields, statistics, top rankings, if available.

Statistics

Access and download statistics for all items

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 15 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-MAC: Macroeconomics (6) 2020-06-08 2020-06-15 2021-03-22 2021-03-29 2021-03-29 2021-06-28. Author is listed
  2. NEP-ECM: Econometrics (5) 2013-11-22 2016-08-28 2016-11-06 2017-06-04 2019-12-16. Author is listed
  3. NEP-ENE: Energy Economics (4) 2015-12-20 2017-06-04 2021-01-04 2022-06-20
  4. NEP-ETS: Econometric Time Series (4) 2013-11-22 2016-08-28 2017-06-04 2019-12-16
  5. NEP-GRO: Economic Growth (4) 2020-06-08 2020-06-15 2021-06-28 2022-06-20
  6. NEP-HIS: Business, Economic and Financial History (3) 2020-06-08 2020-06-15 2021-06-28
  7. NEP-ENV: Environmental Economics (2) 2022-06-20 2023-08-21
  8. NEP-FDG: Financial Development and Growth (2) 2021-03-22 2021-03-29
  9. NEP-AGR: Agricultural Economics (1) 2022-06-20
  10. NEP-CWA: Central and Western Asia (1) 2021-03-29
  11. NEP-DCM: Discrete Choice Models (1) 2017-06-04
  12. NEP-EVO: Evolutionary Economics (1) 2021-06-28
  13. NEP-HEA: Health Economics (1) 2021-01-04
  14. NEP-ORE: Operations Research (1) 2019-12-16
  15. NEP-RES: Resource Economics (1) 2022-06-20
  16. NEP-RMG: Risk Management (1) 2021-03-29
  17. NEP-URE: Urban and Real Estate Economics (1) 2021-01-04

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