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Danilo Leiva-Leon

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. Baumann, Ursel & Darracq Pariès, Matthieu & Westermann, Thomas & Riggi, Marianna & Bobeica, Elena & Meyler, Aidan & Böninghausen, Benjamin & Fritzer, Friedrich & Trezzi, Riccardo & Jonckheere, Jana & , 2021. "Inflation expectations and their role in Eurosystem forecasting," Occasional Paper Series 264, European Central Bank.

    Cited by:

    1. Ehrmann, Michael & Holton, Sarah & Kedan, Danielle & Phelan, Gillian, 2021. "Monetary Policy Communication: Perspectives from Former Policy Makers at the ECB," CEPR Discussion Papers 16816, C.E.P.R. Discussion Papers.
    2. Bobeica, Elena & Hartwig, Benny, 2023. "The COVID-19 shock and challenges for inflation modelling," International Journal of Forecasting, Elsevier, vol. 39(1), pages 519-539.
    3. Andrejs Zlobins, 2022. "Into the Universe of Unconventional Monetary Policy: State-dependence, Interaction and Complementarities," Working Papers 2022/05, Latvijas Banka.
    4. Koester, Gerrit & Lis, Eliza & Nickel, Christiane & Osbat, Chiara & Smets, Frank, 2021. "Understanding low inflation in the euro area from 2013 to 2019: cyclical and structural drivers," Occasional Paper Series 280, European Central Bank.

  2. Christiane Baumeister & Danilo Leiva-León & Eric Sims, 2021. "Tracking weekly state-level economic conditions," Working Papers 2134, Banco de España.

    Cited by:

    1. Sheng, Xin & Marfatia, Hardik A. & Gupta, Rangan & Ji, Qiang, 2023. "The non-linear response of US state-level tradable and non-tradable inflation to oil shocks: The role of oil-dependence," Research in International Business and Finance, Elsevier, vol. 64(C).
    2. Rueben Ellul & Germano Ruisi, 2022. "Nowcasting the Maltese economy with a dynamic factor model," CBM Working Papers WP/02/2022, Central Bank of Malta.
    3. Kohns, David & Potjagailo, Galina, 2023. "Flexible Bayesian MIDAS: time‑variation, group‑shrinkage and sparsity," Bank of England working papers 1025, Bank of England.

  3. Marta Bañbura & Danilo Leiva-León & Jan-Oliver Menz, 2021. "Do inflation expectations improve model-based inflation Forecasts?," Working Papers 2138, Banco de España.

    Cited by:

    1. Galdi, Giulio & Casarin, Roberto & Ferrari, Davide & Fezzi, Carlo & Ravazzolo, Francesco, 2023. "Nowcasting industrial production using linear and non-linear models of electricity demand," Energy Economics, Elsevier, vol. 126(C).
    2. Richard Schnorrenberger & Aishameriane Schmidt & Guilherme Valle Moura, 2024. "Harnessing Machine Learning for Real-Time Inflation Nowcasting," Working Papers 806, DNB.
    3. De Bandt Olivier & Bricongne Jean-Charles & Denes Julien & Dhenin Alexandre & De Gaye Annabelle & Robert Pierre-Antoine, 2023. "Using the Press to Construct a New Indicator of Inflation Perceptions in France," Working papers 921, Banque de France.
    4. Hervé Le Bihan & Danilo Leiva-León & Matías Pacce, 2023. "Underlying inflation and asymetric risks," Working Papers 2319, Banco de España.
    5. Baumann, Ursel & Darracq Pariès, Matthieu & Westermann, Thomas & Riggi, Marianna & Bobeica, Elena & Meyler, Aidan & Böninghausen, Benjamin & Fritzer, Friedrich & Trezzi, Riccardo & Jonckheere, Jana & , 2021. "Inflation expectations and their role in Eurosystem forecasting," Occasional Paper Series 264, European Central Bank.
    6. Florian Huber & Luca Onorante & Michael Pfarrhofer, 2022. "Forecasting euro area inflation using a huge panel of survey expectations," Papers 2207.12225, arXiv.org.
    7. Luigi Bonatti, & Andrea Fracasso & Roberto Tamborini, 2021. "What to expect from inflation expectations: theory, empirics and policy issues," DEM Working Papers 2022/1, Department of Economics and Management.

  4. Danilo Leiva-Leon & Luis Uzeda, 2020. "Endogenous Time Variation in Vector Autoregressions," Staff Working Papers 20-16, Bank of Canada.

    Cited by:

    1. Jamie L. Cross & Chenghan Hou & Gary Koop, 2021. "Macroeconomic Forecasting with Large Stochastic Volatility in Mean VARs," Working Papers No 04/2021, Centre for Applied Macro- and Petroleum economics (CAMP), BI Norwegian Business School.
    2. Xin Sheng & Rangan Gupta & Oguzhan Cepni, 2023. "Time-Varying Effects of Extreme Weather Shocks on Output Growth of the United States," Working Papers 202324, University of Pretoria, Department of Economics.

  5. Christian Friedrich & Pierre Guérin & Danilo Leiva-Leon, 2020. "Monetary Policy Independence and the Strength of the Global Financial Cycle," Staff Working Papers 20-25, Bank of Canada.

    Cited by:

    1. Forbes, Kristin, 2020. "The International Aspects of Macroprudential Policy," CEPR Discussion Papers 15198, C.E.P.R. Discussion Papers.

  6. Danilo Leiva-Leon & Gabriel Perez-Quiros & Eyno Rots, 2020. "Real-time weakness of the global economy: a first assessment of the coronavirus crisis," Working Papers 2015, Banco de España.

    Cited by:

    1. Phurichai Rungcharoenkitkul, 2021. "Macroeconomic effects of Covid-19: a mid-term review," BIS Working Papers 959, Bank for International Settlements.
    2. Marina Diakonova & Luis Molina & Hannes Mueller & Javier J. Pérez & Cristopher Rauh, 2022. "The information content of conflict, social unrest and policy uncertainty measures for macroeconomic forecasting," Working Papers 2232, Banco de España.
    3. Afees A. Salisu & Rangan Gupta & Elie Bouri, 2022. "Testing the Forecasting Power of Global Economic Conditions for the Volatility of International REITs using a GARCH-MIDAS Approach," Working Papers 202211, University of Pretoria, Department of Economics.
    4. Donato Masciandaro, 2020. "Covid-19 Helicopter Money, Monetary Policy And Central Bank Independence: Economics And Politics," BAFFI CAREFIN Working Papers 20137, BAFFI CAREFIN, Centre for Applied Research on International Markets Banking Finance and Regulation, Universita' Bocconi, Milano, Italy.
    5. Piotr Skórka & Beata Grzywacz & Dawid Moroń & Magdalena Lenda, 2020. "The macroecology of the COVID-19 pandemic in the Anthropocene," PLOS ONE, Public Library of Science, vol. 15(7), pages 1-17, July.
    6. Hervé Le Bihan & Danilo Leiva-León & Matías Pacce, 2023. "Underlying inflation and asymetric risks," Working Papers 2319, Banco de España.
    7. Funke, Michael & Tsang, Andrew, 2020. "The People's Bank of China's response to the coronavirus pandemic: A quantitative assessment," BOFIT Discussion Papers 12/2020, Bank of Finland Institute for Emerging Economies (BOFIT).
    8. Massimiliano Ferraresi, 2022. "The regional (re)allocation of migrants during the Great Lockdown in Italy," Economia Politica: Journal of Analytical and Institutional Economics, Springer;Fondazione Edison, vol. 39(2), pages 403-426, July.
    9. Pérez Quirós, Gabriel, 2020. "Global Weakness Index – reading the economy’s vital signs during the COVID-19 crisis," Research Bulletin, European Central Bank, vol. 72.
    10. Balsalobre-Lorente, Daniel & Driha, Oana M. & Bekun, Festus & Sinha, Avik & Fatai Adedoyin, Festus, 2020. "Consequences of COVID-19 on the social isolation of the Chinese economy: accounting for the role of reduction in carbon emissions," MPRA Paper 102894, University Library of Munich, Germany, revised 2020.
    11. Donato Masciandaro, 2020. "Ecb Helicopter Money: Economic And Political Economy Arithmetics," BAFFI CAREFIN Working Papers 20138, BAFFI CAREFIN, Centre for Applied Research on International Markets Banking Finance and Regulation, Universita' Bocconi, Milano, Italy.
    12. Mary Oluwatoyin Agboola & Festus Victor Bekun & Daniel Balsalobre-Lorente, 2021. "Implications of Social Isolation in Combating COVID-19 Outbreak in Kingdom of Saudi Arabia: Its Consequences on the Carbon Emissions Reduction," Sustainability, MDPI, vol. 13(16), pages 1-16, August.
    13. Boriss Siliverstovs, 2021. "Gauging the Effect of Influential Observations on Measures of Relative Forecast Accuracy in a Post-COVID-19 Era: Application to Nowcasting Euro Area GDP Growth," Working Papers 2021/01, Latvijas Banka.
    14. Sułkowski Łukasz, 2020. "Covid-19 Pandemic; Recession, Virtual Revolution Leading to De-globalization?," Journal of Intercultural Management, Sciendo, vol. 12(1), pages 1-11, March.

  7. María Gil & Danilo Leiva-Leon & Javier J. Pérez & Alberto Urtasun, 2019. "An application of dynamic factor models to nowcast regional economic activity in Spain," Occasional Papers 1904, Banco de España.

    Cited by:

    1. Robert Lehmann & Ida Wikman, 2022. "Quarterly GDP Estimates for the German States," ifo Working Paper Series 370, ifo Institute - Leibniz Institute for Economic Research at the University of Munich.
    2. Robert Lehmann, 2020. "The Forecasting Power of the ifo Business Survey," CESifo Working Paper Series 8291, CESifo.
    3. Priscila Espinosa & Jose M. Pavía, 2023. "Automation in Regional Economic Synthetic Index Construction with Uncertainty Measurement," Forecasting, MDPI, vol. 5(2), pages 1-19, April.
    4. Robert Lehmann & Sascha Möhrle, 2022. "Forecasting Regional Industrial Production with High-Frequency Electricity Consumption Data," CESifo Working Paper Series 9917, CESifo.
    5. Concha Artola & María Gil & Javier J. Pérez & Alberto Urtasun & Alejandro Fiorito & Diego Vila, 2018. "Monitoring the Spanish economy from a regional perspective: main elements of analysis," Occasional Papers 1809, Banco de España.

  8. Danilo Leiva-Leon & Eva Ortega & Jaime Martínez-Martín, 2019. "Exchange rate shocks and inflation comovement in the euro area," Working Papers 1934, Banco de España.

    Cited by:

    1. Marco Flaccadoro, 2022. "Exchange rate pass-through in small, open, commodity-exporting economies: lessons from Canada," Temi di discussione (Economic working papers) 1368, Bank of Italy, Economic Research and International Relations Area.
    2. Georgios Georgiadis & Ben Schumann, 2019. "Dominant-Currency Pricing and the Global Output Spillovers from U.S. Dollar Appreciation," Globalization Institute Working Papers 368, Federal Reserve Bank of Dallas.
    3. Camatte, Hadrien & Daudin, Guillaume & Faubert, Violaine & Rifflart, Christine, 2023. "Estimating the elasticity of consumer prices to the exchange rate: An accounting approach," Journal of International Money and Finance, Elsevier, vol. 137(C).
    4. Cristina ANGHELESCU, 2022. "Shock-dependent Exchange Rate Pass-through into Different Measures of Price Indices in the Case of Romania," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(3), pages 88-104, October.
    5. An, Lian & Wynne, Mark A. & Zhang, Ren, 2021. "Shock-dependent exchange rate pass-through: Evidence based on a narrative sign approach for Japan," Journal of International Money and Finance, Elsevier, vol. 118(C).
    6. Georgiadis, Georgios & Gräb, Johannes & Khalil, Makram, 2019. "Global value chain participation and exchange rate pass-through," Working Paper Series 2327, European Central Bank.
    7. Narayan, Seema & Cirikisuva, Salote & Naivutu, Revoni, 2023. "A hybrid NKPC inflation model for the small Island state of Fiji," Economic Analysis and Policy, Elsevier, vol. 78(C), pages 873-886.
    8. Baumann, Ursel & Darracq Pariès, Matthieu & Westermann, Thomas & Riggi, Marianna & Bobeica, Elena & Meyler, Aidan & Böninghausen, Benjamin & Fritzer, Friedrich & Trezzi, Riccardo & Jonckheere, Jana & , 2021. "Inflation expectations and their role in Eurosystem forecasting," Occasional Paper Series 264, European Central Bank.

  9. Michael Funke & Danilo Leiva-Leon & Andrew Tsang, 2019. "Mapping China’s time-varying house price landscape," Working Papers 1930, Banco de España.

    Cited by:

    1. Peng Nie & Andrew E. Clark & Conchita d'Ambrosio & Lanlin Ding, 2022. "Income-related health inequality in urban China (1991–2015): The role of homeownership and housing conditions," PSE-Ecole d'économie de Paris (Postprint) halshs-03672658, HAL.
    2. Maynou, Laia & Monfort, Mercedes & Morley, Bruce & Ordóñez, Javier, 2021. "Club convergence in European housing prices: The role of macroeconomic and housing market fundamentals," Economic Modelling, Elsevier, vol. 103(C).

  10. Danilo Leiva-Leon & Lorenzo Ductor, 2019. "Fluctuations in Global Macro Volatility," Working Papers 1925, Banco de España.

    Cited by:

    1. N. V. Suvorov & S. V. Treshchina & Yu. V. Beletskii, 2020. "Design of Methods for Long-Term Forecasting of Development Trends in the Russian Economy (Methodology and Model Toolkit)," Studies on Russian Economic Development, Springer, vol. 31(6), pages 636-646, November.

  11. Pierre Guérin & Danilo Leiva-Leon & Massimiliano Marcellino, 2017. "Markov-Switching Three-Pass Regression Filter," Staff Working Papers 17-13, Bank of Canada.

    Cited by:

    1. Elie Bouri & Christina Christou & Rangan Gupta, 2022. "Forecasting Returns of Major Cryptocurrencies: Evidence from Regime-Switching Factor Models," Working Papers 202213, University of Pretoria, Department of Economics.

  12. Danilo Leiva-Leon, 2017. "Measuring business cycles intra-synchronization in us: a regime-switching interdependence framework," Working Papers 1726, Banco de España.

    Cited by:

    1. Michael T. Owyang & Jeremy Piger & Daniel Soques, 2022. "Contagious switching," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 37(2), pages 415-432, March.
    2. Maximo Camacho & Fernando Soto, 2018. "Consumer confidence’s boom and bust in Latin America," Working Papers 18/02, BBVA Bank, Economic Research Department.
    3. Mattia Guerini & Duc Thi Luu & Mauro Napoletano, 2019. "Synchronization Patterns in the European Union," GREDEG Working Papers 2019-30, Groupe de REcherche en Droit, Economie, Gestion (GREDEG CNRS), Université Côte d'Azur, France.
    4. Mariarosaria Comunale, 2017. "Synchronicity of real and financial cycles and structural characteristics in EU countries," Bank of Lithuania Occasional Paper Series 15, Bank of Lithuania.
    5. Maximo Camacho & Danilo Leiva-Leon, 2014. "The Propagation of Industrial Business Cycles," Staff Working Papers 14-48, Bank of Canada.
    6. Chang, Kuang-Liang, 2022. "Do economic policy uncertainty indices matter in joint volatility cycles between U.S. and Japanese stock markets?," Finance Research Letters, Elsevier, vol. 47(PA).
    7. Yong Song & Tomasz Wo'zniak, 2020. "Markov Switching," Papers 2002.03598, arXiv.org.
    8. Amy Y. Guisinger & Michael T. Owyang & Daniel Soques, 2020. "Industrial Connectedness and Business Cycle Comovements," Working Papers 2020-052, Federal Reserve Bank of St. Louis, revised 04 Aug 2021.
    9. María Dolores Gadea-Rivas & Ana Gómez-Loscos & Danilo Leiva-Leon, 2017. "The evolution of regional economic interlinkages in Europe," Working Papers 1705, Banco de España.
    10. Michael Funke & Danilo Leiva-Leon & Andrew Tsang, 2019. "Mapping China’s time-varying house price landscape," Working Papers 1930, Banco de España.
    11. Inekwe, John Nkwoma, 2020. "Liquidity connectedness and output synchronisation," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 66(C).
    12. Maximo Camacho & Angela Caro & German Lopez-Buenache, 2020. "The two-speed Europe in business cycle synchronization," Empirical Economics, Springer, vol. 59(3), pages 1069-1084, September.
    13. Gadea-Rivas, María Dolores & Gómez-Loscos, Ana & Leiva-Leon, Danilo, 2019. "Increasing linkages among European regions. The role of sectoral composition," Economic Modelling, Elsevier, vol. 80(C), pages 222-243.
    14. Liu, Dayu & Wang, Qiaoru & Song, Yang, 2020. "China’s business cycles at the provincial level: National synchronization, interregional coordination and provincial idiosyncrasy," International Review of Economics & Finance, Elsevier, vol. 69(C), pages 629-650.
    15. Shinya Fukui, 2020. "Business Cycle Spatial Synchronization: Measuring a Synchronization Parameter," Discussion Papers 2009, Graduate School of Economics, Kobe University.
    16. Dalibor Stevanovic & Stéphane Surprenant & Rachidi Kotchoni, 2019. "Identification des points de retournement du cycle économique au Canada," CIRANO Project Reports 2019rp-05, CIRANO.

  13. Danilo Leiva-Leon, 2017. "Monitoring the Spanish Economy through the Lenses of Structural Bayesian VARs," Occasional Papers 1706, Banco de España.

    Cited by:

    1. Ian Borg & Germano Ruisi, 2018. "Forecasting using Bayesian VARs: A Benchmark for STREAM," CBM Working Papers WP/04/2018, Central Bank of Malta.
    2. Danilo Leiva-Leon & Eva Ortega & Jaime Martínez-Martín, 2019. "Exchange rate shocks and inflation comovement in the euro area," Working Papers 1934, Banco de España.
    3. Erik Andres-Escayola & Juan Carlos Berganza & Rodolfo Campos & Luis Molina, 2021. "A BVAR toolkit to assess macrofinancial risks in Brazil and Mexico," Occasional Papers 2114, Banco de España.

  14. María Dolores Gadea-Rivas & Ana Gómez-Loscos & Danilo Leiva-Leon, 2017. "The evolution of regional economic interlinkages in Europe," Working Papers 1705, Banco de España.

    Cited by:

    1. Eduardo Bandrés & María Dolores Gadea-Rivas & Ana Gómez-Loscos, 2017. "Regional business cycles across europe," Occasional Papers 1702, Banco de España.
    2. Chrysostomos Stoforos & Stavros Degiannakis & Panagiotis Delis & George Filis & Theodosios Palaskas, 2024. "Business Cycles Synchronization: Literature Review," Journal of Economic Analysis, Anser Press, vol. 3(4), pages 222-249, December.
    3. M. D. Gadea-Rivas & Ana Gómez-Loscos & Eduardo Bandrés, 2017. "Clustering regional business cycles," Working Papers 1744, Banco de España.
    4. Ana Gómez-Loscos & M. Dolores Gadea & Eduardo Bandres, 2020. "Business cycle patterns in European regions," Empirical Economics, Springer, vol. 59(6), pages 2639-2661, December.
    5. Maximo Camacho & Matias Pacce & Camilo Ulloa, 2017. "Business cycle phases in Spain," Working Papers 17/20, BBVA Bank, Economic Research Department.

  15. Barnett, William & Chauvet, Marcelle & Leiva-Leon, Danilo & Su, Liting, 2016. "Nowcasting Nominal GDP with the Credit-Card Augmented Divisia Monetary," Studies in Applied Economics 59, The Johns Hopkins Institute for Applied Economics, Global Health, and the Study of Business Enterprise.

    Cited by:

    1. Andrii Babii & Eric Ghysels & Jonas Striaukas, 2022. "Machine Learning Time Series Regressions With an Application to Nowcasting," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 40(3), pages 1094-1106, June.
    2. Raquel Nadal Cesar Gonçalves, 2022. "Nowcasting Brazilian GDP with Electronic Payments Data," Working Papers Series 564, Central Bank of Brazil, Research Department.
    3. Barnett, William & Su, Liting, 2016. "Risk Adjustment of the Credit-Card Augmented Divisia Monetary Aggregates," Studies in Applied Economics 67, The Johns Hopkins Institute for Applied Economics, Global Health, and the Study of Business Enterprise.
    4. Barnett, William & Liu, Jinan, 2017. "User Cost of Credit Card Services under Risk with Intertemporal Nonseparability," MPRA Paper 81461, University Library of Munich, Germany.
    5. William Barnett & Liting Su, 2016. "Data Sources For The Credit-Card Augmented Divisia Monetary Aggregates," WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS 201603, University of Kansas, Department of Economics, revised Aug 2016.
    6. Barnett, William & Chauvet, Marcelle & Leiva-Leon, Danilo & Su, Liting, 2016. "The credit-card-services augmented Divisia monetary aggregates," MPRA Paper 73245, University Library of Munich, Germany.
    7. William A. Barnett & Kun He & Jingtong He, 2022. "Consumption Loan Augmented Divisia Monetary Index and China Monetary Aggregation," JRFM, MDPI, vol. 15(10), pages 1-17, October.
    8. James Chapman & Ajit Desai, 2021. "Using Payments Data to Nowcast Macroeconomic Variables During the Onset of COVID-19," Staff Working Papers 21-2, Bank of Canada.
    9. William Barnett & Hyun Park & Sohee Park, 2021. "The Barnett Critique," WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS 202115, University of Kansas, Department of Economics, revised Jun 2021.
    10. William Barnett & Hyun Park, 2023. "Have Credit Card Services Become Important to Monetary Aggregation? An Application of Sign Restricted Bayesian VAR," WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS 202304, University of Kansas, Department of Economics.
    11. James T. E. Chapman & Ajit Desai, 2022. "Macroeconomic Predictions using Payments Data and Machine Learning," Papers 2209.00948, arXiv.org.
    12. António Rua & Nuno Lourenço, 2020. "The DEI: tracking economic activity daily during the lockdown," Working Papers w202013, Banco de Portugal, Economics and Research Department.
    13. Barnett, William & Park, Sohee, 2021. "Forecasting Inflation and Output Growth with Credit-Card-Augmented Divisia Monetary Aggregates," MPRA Paper 110298, University Library of Munich, Germany.
    14. Liu Jinan & Serletis Apostolos, 2020. "Money growth variability and output: evidence with credit card-augmented Divisia monetary aggregates," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 24(5), pages 1-11, December.
    15. Knut Are Aastveit & Tuva Marie Fastbø & Eleonora Granziera & Kenneth Sæterhagen Paulsen & Kjersti Næss Torstensen, 2020. "Nowcasting Norwegian household consumption with debit card transaction data," Working Paper 2020/17, Norges Bank.
    16. Ali B. Barlas & Seda Guler Mert & Berk Orkun Isa & Alvaro Ortiz & Tomasa Rodrigo & Baris Soybilgen & Ege Yazgan, 2021. "Big Data Information and Nowcasting: Consumption and Investment from Bank Transactions in Turkey," Papers 2107.03299, arXiv.org.
    17. Serletis, Apostolos & Xu, Libo, 2020. "Functional monetary aggregates, monetary policy, and business cycles," Journal of Economic Dynamics and Control, Elsevier, vol. 121(C).
    18. Lourenço, Nuno & Rua, António, 2021. "The Daily Economic Indicator: tracking economic activity daily during the lockdown," Economic Modelling, Elsevier, vol. 100(C).

  16. William Barnett & Marcelle Chauvet & Danilo Leiva-Leon & Liting Su, 2016. "Nowcasting Nominal GDP with the Credit-Card Augmented Divisia Monetary Aggregates," WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS 201605, University of Kansas, Department of Economics, revised Aug 2016.

    Cited by:

    1. Andrii Babii & Eric Ghysels & Jonas Striaukas, 2022. "Machine Learning Time Series Regressions With an Application to Nowcasting," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 40(3), pages 1094-1106, June.
    2. Raquel Nadal Cesar Gonçalves, 2022. "Nowcasting Brazilian GDP with Electronic Payments Data," Working Papers Series 564, Central Bank of Brazil, Research Department.
    3. Barnett, William & Su, Liting, 2016. "Risk Adjustment of the Credit-Card Augmented Divisia Monetary Aggregates," Studies in Applied Economics 67, The Johns Hopkins Institute for Applied Economics, Global Health, and the Study of Business Enterprise.
    4. Barnett, William & Su, Liting, 2017. "Financial Firm Production of Inside Monetary and Credit Card Services: An Aggregation Theoretic Approach," MPRA Paper 82061, University Library of Munich, Germany.
    5. Barnett, William & Liu, Jinan, 2017. "User Cost of Credit Card Services under Risk with Intertemporal Nonseparability," MPRA Paper 81461, University Library of Munich, Germany.
    6. William Barnett & Liting Su, 2016. "Data Sources For The Credit-Card Augmented Divisia Monetary Aggregates," WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS 201603, University of Kansas, Department of Economics, revised Aug 2016.
    7. Barnett, William & Chauvet, Marcelle & Leiva-Leon, Danilo & Su, Liting, 2016. "The credit-card-services augmented Divisia monetary aggregates," MPRA Paper 73245, University Library of Munich, Germany.
    8. William A. Barnett & Kun He & Jingtong He, 2022. "Consumption Loan Augmented Divisia Monetary Index and China Monetary Aggregation," JRFM, MDPI, vol. 15(10), pages 1-17, October.
    9. William Barnett & Hyun Park & Sohee Park, 2021. "The Barnett Critique," WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS 202115, University of Kansas, Department of Economics, revised Jun 2021.
    10. William Barnett & Hyun Park, 2023. "Have Credit Card Services Become Important to Monetary Aggregation? An Application of Sign Restricted Bayesian VAR," WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS 202304, University of Kansas, Department of Economics.
    11. Barnett, William & Park, Sohee, 2021. "Forecasting Inflation and Output Growth with Credit-Card-Augmented Divisia Monetary Aggregates," MPRA Paper 110298, University Library of Munich, Germany.
    12. Liu Jinan & Serletis Apostolos, 2020. "Money growth variability and output: evidence with credit card-augmented Divisia monetary aggregates," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 24(5), pages 1-11, December.
    13. Knut Are Aastveit & Tuva Marie Fastbø & Eleonora Granziera & Kenneth Sæterhagen Paulsen & Kjersti Næss Torstensen, 2020. "Nowcasting Norwegian household consumption with debit card transaction data," Working Paper 2020/17, Norges Bank.
    14. Serletis, Apostolos & Xu, Libo, 2020. "Functional monetary aggregates, monetary policy, and business cycles," Journal of Economic Dynamics and Control, Elsevier, vol. 121(C).
    15. Lourenço, Nuno & Rua, António, 2021. "The Daily Economic Indicator: tracking economic activity daily during the lockdown," Economic Modelling, Elsevier, vol. 100(C).
    16. William Barnett & Liting Su, 2017. "Financial Firm Production Of Inside Monetary And Credit Card Services: An Aggregation Theoretic Approach1," WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS 201707, University of Kansas, Department of Economics, revised Oct 2017.

  17. William Barnett & Marcelle Chauvet & Danilo Leiva-Leon & Liting Su, 2016. "The Credit-Card-Services Augmented Divisia Monetary Aggregates," WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS 201604, University of Kansas, Department of Economics, revised Aug 2016.

    Cited by:

    1. Andrii Babii & Eric Ghysels & Jonas Striaukas, 2022. "Machine Learning Time Series Regressions With an Application to Nowcasting," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 40(3), pages 1094-1106, June.
    2. Barnett, William & Su, Liting, 2017. "Financial Firm Production of Inside Monetary and Credit Card Services: An Aggregation Theoretic Approach," MPRA Paper 82061, University Library of Munich, Germany.
    3. Dennis Fixler & Kim Zieschang, 2016. "Producing Liquidity," CEPA Working Papers Series WP022016, School of Economics, University of Queensland, Australia.
    4. Barnett, William & Liu, Jinan, 2017. "User Cost of Credit Card Services under Risk with Intertemporal Nonseparability," MPRA Paper 81461, University Library of Munich, Germany.
    5. William A. Barnett & Liting Su, 2016. "Joint aggregation over money and credit card services under risk," Economics Bulletin, AccessEcon, vol. 36(4), pages 2301-2310.
    6. William A. Barnett & Kun He & Jingtong He, 2022. "Consumption Loan Augmented Divisia Monetary Index and China Monetary Aggregation," JRFM, MDPI, vol. 15(10), pages 1-17, October.
    7. William Barnett & Hyun Park & Sohee Park, 2021. "The Barnett Critique," WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS 202115, University of Kansas, Department of Economics, revised Jun 2021.
    8. William Barnett & Hyun Park, 2023. "Have Credit Card Services Become Important to Monetary Aggregation? An Application of Sign Restricted Bayesian VAR," WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS 202304, University of Kansas, Department of Economics.
    9. Barnett, William A. & Nguyen, Van H., 2021. "Constructing Divisia monetary aggregates for Singapore," MPRA Paper 108422, University Library of Munich, Germany.
    10. Barnett, William & Park, Sohee, 2021. "Forecasting Inflation and Output Growth with Credit-Card-Augmented Divisia Monetary Aggregates," MPRA Paper 110298, University Library of Munich, Germany.
    11. William Barnett & Liting Su, 2017. "Financial Firm Production Of Inside Monetary And Credit Card Services: An Aggregation Theoretic Approach1," WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS 201707, University of Kansas, Department of Economics, revised Oct 2017.

  18. Maximo Camacho & Danilo Leiva-Leon & Gabriel Perez-Quiros, 2015. "Country shocks, monetary policy expectations and ECB decisions. A dynamic non-linear approach," Working Papers 1523, Banco de España.

    Cited by:

    1. Poncela, Pilar & Ruiz, Esther & Miranda, Karen, 2021. "Factor extraction using Kalman filter and smoothing: This is not just another survey," International Journal of Forecasting, Elsevier, vol. 37(4), pages 1399-1425.
    2. Danilo Leiva-Leon, 2017. "Monitoring the Spanish Economy through the Lenses of Structural Bayesian VARs," Occasional Papers 1706, Banco de España.

  19. Lorenzo Ductor & Danilo Leiva-Leon, 2015. "Dynamics of Global Business Cycles Interdependence," Working Papers Central Bank of Chile 763, Central Bank of Chile.

    Cited by:

    1. Christiane Baumeister & Pierre Guérin, 2020. "A Comparison of Monthly Global Indicators for Forecasting Growth," CESifo Working Paper Series 8656, CESifo.
    2. Corinna Ghirelli & Danilo Leiva-León & Alberto Urtasun, 2023. "Housing prices in Spain: convergence or decoupling?," SERIEs: Journal of the Spanish Economic Association, Springer;Spanish Economic Association, vol. 14(2), pages 165-187, June.
    3. Ravid, Oded & Malul, Miki & Zultan, Ro’i, 2017. "The effect of economic cycles on job satisfaction in a two-sector economy," Journal of Economic Behavior & Organization, Elsevier, vol. 138(C), pages 1-9.
    4. Richard Friberg & Mark Sanctuary, 2022. "Matched trade at the firm level and the micro origins of international business‐cycle comovement," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 27(3), pages 2997-3009, July.
    5. Keisuke Kondo, 2015. "Spatial Dependence in Regional Business Cycles: Evidence from Mexican States," Discussion Paper Series DP2015-27, Research Institute for Economics & Business Administration, Kobe University, revised Jun 2021.
    6. Benoit Dicharry & Lubica Stiblarova, 2023. "Positive externalities of the EU cohesion policy: Toward more synchronised CEE countries?," International Economics and Economic Policy, Springer, vol. 20(3), pages 485-508, July.
    7. Mark F. J. Steel, 2020. "Model Averaging and Its Use in Economics," Journal of Economic Literature, American Economic Association, vol. 58(3), pages 644-719, September.
    8. Roman Matkovskyy, 2020. "A measurement of affluence and poverty interdependence across countries: Evidence from the application of tail copula," Post-Print hal-03163619, HAL.
    9. Danilo Leiva-Leon & Eva Ortega & Jaime Martínez-Martín, 2019. "Exchange rate shocks and inflation comovement in the euro area," Working Papers 1934, Banco de España.
    10. Shen, Jiancheng & Selover, David D. & Li, Chao & Yousefi, Hamed, 2022. "An ocean apart? The effects of US business cycles on Chinese business cycles," International Review of Economics & Finance, Elsevier, vol. 82(C), pages 677-698.
    11. Danilo Leiva-Leon & Lorenzo Ductor, 2019. "Fluctuations in Global Macro Volatility," ThE Papers 19/09, Department of Economic Theory and Economic History of the University of Granada..
    12. María Dolores Gadea-Rivas & Ana Gómez-Loscos & Danilo Leiva-Leon, 2017. "The evolution of regional economic interlinkages in Europe," Working Papers 1705, Banco de España.
    13. Friberg, Richard & Sanctuary, Mark, 2019. "Matched trade at the firm level and the micro origins of international business-cycle comovement," CEPR Discussion Papers 14122, C.E.P.R. Discussion Papers.
    14. Milan Deskar-Škrbić & Karlo Kotarac & Davor Kunovac, 2019. "The Third Round of the Euro Area Enlargement: Are the Candidates Ready?," Working Papers 57, The Croatian National Bank, Croatia.
    15. Oleksandr Faryna & Heli Simola, 2018. "The Transmission of International Shocks to CIS Economies: A Global VAR Approach," Working Papers 04/2018, National Bank of Ukraine.
    16. Central Bank of Brazil, 2018. "Globalisation and deglobalisation," BIS Papers chapters, in: Bank for International Settlements (ed.), Globalisation and deglobalisation, volume 100, pages 71-82, Bank for International Settlements.
    17. Berger, Tino & Wortmann, Marcus, 2018. "Global vs. group-specific business cycles: The importance of defining the groups," University of Göttingen Working Papers in Economics 334, University of Goettingen, Department of Economics.
    18. Faryna, Oleksandr & Simola, Heli, 2018. "The transmission of international shocks to CIS economies: A Global VAR approach," BOFIT Discussion Papers 17/2018, Bank of Finland Institute for Emerging Economies (BOFIT).
    19. Mao Takongmo, Charles-O. & Touré, Adam, 2023. "Trade openness and connectedness of national productions: Do financial openness, economic specialization, and the size of the country matter?," Economic Modelling, Elsevier, vol. 125(C).
    20. John D. Burger & Francis E. Warnock & Veronica Cacdac Warnock, 2018. "Benchmarking Portfolio Flows," NBER Working Papers 24761, National Bureau of Economic Research, Inc.
    21. Faryna, Oleksandr & Simola, Heli, 2021. "The transmission of international shocks to CIS economies: A global VAR approach," Economic Systems, Elsevier, vol. 45(2).
    22. Neville Francis & Michael T. Owyang & Daniel Soques, 2019. "Business Cycles Across Space and Time," Working Papers 2019-010, Federal Reserve Bank of St. Louis, revised 05 May 2021.
    23. Amalia Repele & Sébastien Waelti, 2021. "Mapping the Global Business Cycle Network," Open Economies Review, Springer, vol. 32(4), pages 739-760, September.
    24. Servén, Luis & Abate, Girum Dagnachew, 2020. "Adding space to the international business cycle," Journal of Macroeconomics, Elsevier, vol. 65(C).
    25. Ma, Feng & Wahab, M.I.M. & Zhang, Yaojie, 2019. "Forecasting the U.S. stock volatility: An aligned jump index from G7 stock markets," Pacific-Basin Finance Journal, Elsevier, vol. 54(C), pages 132-146.
    26. Gadea-Rivas, María Dolores & Gómez-Loscos, Ana & Leiva-Leon, Danilo, 2019. "Increasing linkages among European regions. The role of sectoral composition," Economic Modelling, Elsevier, vol. 80(C), pages 222-243.
    27. Ngozi E. Egbuna & Maimuna John-Sowe & Santigie M. Kargbo (PhD) & Sani Bawa (PhD) & Ibrahima Diallo & Isatou Mendy, 2020. "Business Cycle Synchronisation In The Ecowas Region," Working Papers 18, West African Monetary Institute.
    28. Renée Fry-McKibbin & Kate McKinnon & Vance L Martin, 2022. "Measuring Global Interest Rate Comovements with Implications for Monetary Policy Interdependence," RBA Annual Conference Papers acp2022-07, Reserve Bank of Australia, revised Dec 2022.
    29. Shinya Fukui, 2020. "Business Cycle Spatial Synchronization: Measuring a Synchronization Parameter," Discussion Papers 2009, Graduate School of Economics, Kobe University.
    30. Berger, Tino & Richter, Julia, 2017. "What has caused global business cycle decoupling: Smaller shocks or reduced sensitivity?," University of Göttingen Working Papers in Economics 300, University of Goettingen, Department of Economics.
    31. Szafranek, Karol, 2021. "Disentangling the sources of inflation synchronization. Evidence from a large panel dataset," International Review of Economics & Finance, Elsevier, vol. 76(C), pages 229-245.
    32. António M Lopes & J A Tenreiro Machado & John S Huffstot & Maria Eugénia Mata, 2018. "Dynamical analysis of the global business-cycle synchronization," PLOS ONE, Public Library of Science, vol. 13(2), pages 1-25, February.
    33. Ductor, Lorenzo & Leiva-León, Danilo, 2022. "Fluctuations in global output volatility," Journal of International Money and Finance, Elsevier, vol. 120(C).
    34. Víctor Alberto Pena & Alina Gómez-Mejía, 2019. "Effect of the anchoring and adjustment heuristic and optimism bias in stock market forecasts," Revista Finanzas y Politica Economica, Universidad Católica de Colombia, vol. 11(2), pages 389-409, November.
    35. Szafranek, Karol, 2021. "Evidence on time-varying inflation synchronization," Economic Modelling, Elsevier, vol. 94(C), pages 1-13.
    36. Simola, Heli, 2019. "Effects of external shocks on Russian economy," BOFIT Policy Briefs 4/2019, Bank of Finland Institute for Emerging Economies (BOFIT).

  20. Pierre Guérin & Danilo Leiva-Leon, 2015. "Model Averaging in Markov-Switching Models: Predicting National Recessions with Regional Data," Staff Working Papers 15-24, Bank of Canada.

    Cited by:

    1. Arabinda Basistha, 2023. "Estimation of short‐run predictive factor for US growth using state employment data," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 42(1), pages 34-50, January.
    2. Irfan Nurfalah & Aam Slamet Rusydiana & Nisful Laila & Eko Fajar Cahyono, 2018. "Early Warning to Banking Crises in the Dual Financial System in Indonesia: The Markov Switching Approach التحذير المبكر من الأزمات المصرفية في النظام المالي المزدوج في إندونيسيا: مقاربة ماركوف للتحويل," Journal of King Abdulaziz University: Islamic Economics, King Abdulaziz University, Islamic Economics Institute., vol. 31(2), pages 133-156, July.
    3. María Dolores Gadea-Rivas & Ana Gómez-Loscos & Danilo Leiva-Leon, 2017. "The evolution of regional economic interlinkages in Europe," Working Papers 1705, Banco de España.
    4. Baumann, Ursel & Gomez-Salvador, Ramon & Seitz, Franz, 2019. "Detecting turning points in global economic activity," Working Paper Series 2310, European Central Bank.
    5. Gadea-Rivas, María Dolores & Gómez-Loscos, Ana & Leiva-Leon, Danilo, 2019. "Increasing linkages among European regions. The role of sectoral composition," Economic Modelling, Elsevier, vol. 80(C), pages 222-243.

  21. Maximo Camacho & Danilo Leiva-Leon, 2014. "The Propagation of Industrial Business Cycles," Staff Working Papers 14-48, Bank of Canada.

    Cited by:

    1. Maximo Camacho & Fernando Soto, 2018. "Consumer confidence’s boom and bust in Latin America," Working Papers 18/02, BBVA Bank, Economic Research Department.
    2. Lirios Alos-Simo & Antonio J. Verdu-Jover & Jose M. Gomez-Gras, 2020. "Knowledge Transfer in Sustainable Contexts: A Comparative Analysis of Periods of Financial Recession and Expansion," Sustainability, MDPI, vol. 12(12), pages 1-24, June.
    3. Corinna Ghirelli & Danilo Leiva-León & Alberto Urtasun, 2023. "Housing prices in Spain: convergence or decoupling?," SERIEs: Journal of the Spanish Economic Association, Springer;Spanish Economic Association, vol. 14(2), pages 165-187, June.
    4. Amy Y. Guisinger & Michael T. Owyang & Daniel Soques, 2020. "Industrial Connectedness and Business Cycle Comovements," Working Papers 2020-052, Federal Reserve Bank of St. Louis, revised 04 Aug 2021.
    5. María Dolores Gadea-Rivas & Ana Gómez-Loscos & Danilo Leiva-Leon, 2017. "The evolution of regional economic interlinkages in Europe," Working Papers 1705, Banco de España.
    6. Agudze, Komla M. & Billio, Monica & Casarin, Roberto & Ravazzolo, Francesco, 2022. "Markov switching panel with endogenous synchronization effects," Journal of Econometrics, Elsevier, vol. 230(2), pages 281-298.
    7. Michael Funke & Danilo Leiva-Leon & Andrew Tsang, 2019. "Mapping China’s time-varying house price landscape," Working Papers 1930, Banco de España.
    8. Pierre Guérin & Danilo Leiva-Leon, 2017. "Monetary policy, stock market and sectoral comovement," Working Papers 1731, Banco de España.
    9. Gadea-Rivas, María Dolores & Gómez-Loscos, Ana & Leiva-Leon, Danilo, 2019. "Increasing linkages among European regions. The role of sectoral composition," Economic Modelling, Elsevier, vol. 80(C), pages 222-243.
    10. Paflioti, Persa & Vitsounis, Thomas K. & Teye, Collins & Bell, Michael G.H. & Tsamourgelis, Ioannis, 2017. "Box dynamics: A sectoral approach to analyse containerized port throughput interdependencies," Transportation Research Part A: Policy and Practice, Elsevier, vol. 106(C), pages 396-413.
    11. Wang, Xiaoyu & Sun, Yanlin & Peng, Bin, 2023. "Industrial linkage and clustered regional business cycles in China," International Review of Economics & Finance, Elsevier, vol. 85(C), pages 59-72.
    12. Lorenzo Ductor & Danilo Leiva-Leon, 2015. "Dynamics of Global Business Cycles Interdependence," Working Papers Central Bank of Chile 763, Central Bank of Chile.

  22. William A. Barnett & Marcelle Chauvet & Danilo Leiva-Leon, 2014. "Real-Time Nowcasting of Nominal GDP Under Structural Breaks," Staff Working Papers 14-39, Bank of Canada.

    Cited by:

    1. William Barnett & Biyan Tang, 2015. "Chinese Divisia Monetary Index and GDP Nowcasting," WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS 201506, University of Kansas, Department of Economics, revised Nov 2015.
    2. Christian Glocker & Philipp Wegmüller, 2017. "Business Cycle Dating and Forecasting with Real-time Swiss GDP Data," WIFO Working Papers 542, WIFO.
    3. Barnett, William & Suvra Bhadury, Soumya & Ghosh, Taniya, 2015. "An SVAR Approach to Evaluation of Monetary Policy in India: Solution to the Exchange Rate Puzzles in an Open Economy," Studies in Applied Economics 41, The Johns Hopkins Institute for Applied Economics, Global Health, and the Study of Business Enterprise.
    4. Gálvez-Soriano Oscar de Jesús, 2018. "Nowcasting Mexican GDP using Factor Models and Bridge Equations," Working Papers 2018-06, Banco de México.

  23. Danilo Leiva-Leon, 2014. "A New Approach to Infer Changes in the Synchronization of Business Cycle Phases," Staff Working Papers 14-38, Bank of Canada.

    Cited by:

    1. Maximo Camacho & Danilo Leiva-Leon, 2014. "The Propagation of Industrial Business Cycles," Staff Working Papers 14-48, Bank of Canada.
    2. Máximo Camacho & Danilo Leiva-León & Gabriel Pérez-Quiros, 2015. "Country Shocks, Monetary Policy Expectations and ECB Decisions. A Dynamic Non-Linear Approach," Working Papers Central Bank of Chile 764, Central Bank of Chile.
    3. Monica Billio & Roberto Casarin & Enrica De Cian & Malcolm Mistry & Anthony Osuntuyi, 2021. "The Impact of Climate on Economic and Financial Cycles: A Markov-switching Panel Approach," Working Papers 2021:03, Department of Economics, University of Venice "Ca' Foscari".
    4. Pierre Guérin & Danilo Leiva-Leon, 2015. "Model Averaging in Markov-Switching Models: Predicting National Recessions with Regional Data," Staff Working Papers 15-24, Bank of Canada.
    5. Agudze, Komla M. & Billio, Monica & Casarin, Roberto & Ravazzolo, Francesco, 2022. "Markov switching panel with endogenous synchronization effects," Journal of Econometrics, Elsevier, vol. 230(2), pages 281-298.
    6. Lorenzo Ductor & Danilo Leiva-Leon, 2015. "Dynamics of Global Business Cycles Interdependence," Working Papers Central Bank of Chile 763, Central Bank of Chile.

  24. William Barnett & Marcelle Chauvetz & Danilo Leiva-Leonx, 2014. "Real-Time Nowcasting Nominal GDP Under Structural Break," WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS 201313, University of Kansas, Department of Economics, revised Feb 2014.

    Cited by:

    1. Christian Glocker & Philipp Wegmüller, 2017. "Business Cycle Dating and Forecasting with Real-time Swiss GDP Data," WIFO Working Papers 542, WIFO.
    2. Gálvez-Soriano Oscar de Jesús, 2018. "Nowcasting Mexican GDP using Factor Models and Bridge Equations," Working Papers 2018-06, Banco de México.
    3. Lorenzo Ductor & Danilo Leiva-Leon, 2015. "Dynamics of Global Business Cycles Interdependence," Working Papers Central Bank of Chile 763, Central Bank of Chile.

  25. Leiva-Leon, Danilo, 2013. "Real vs. Nominal Cycles: A Multistate Markov-Switching Bi-Factor Approach," MPRA Paper 54456, University Library of Munich, Germany.

    Cited by:

    1. Mattia Guerini & Duc Thi Luu & Mauro Napoletano, 2019. "Synchronization Patterns in the European Union," GREDEG Working Papers 2019-30, Groupe de REcherche en Droit, Economie, Gestion (GREDEG CNRS), Université Côte d'Azur, France.
    2. Danilo Leiva-Leon, 2014. "A New Approach to Infer Changes in the Synchronization of Business Cycle Phases," Staff Working Papers 14-38, Bank of Canada.
    3. Danilo Leiva-Leon, 2017. "Measuring business cycles intra-synchronization in us: a regime-switching interdependence framework," Working Papers 1726, Banco de España.
    4. Máximo Camacho & Danilo Leiva-León & Gabriel Pérez-Quiros, 2015. "Country Shocks, Monetary Policy Expectations and ECB Decisions. A Dynamic Non-Linear Approach," Working Papers Central Bank of Chile 764, Central Bank of Chile.
    5. 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. William Barnett & Marcelle Chauvetz & Danilo Leiva-Leonx, 2014. "Real-Time Nowcasting Nominal GDP Under Structural Break," WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS 201313, University of Kansas, Department of Economics, revised Feb 2014.
    7. William A. Barnett & Marcelle Chauvet & Danilo Leiva-Leon, 2014. "Real-Time Nowcasting of Nominal GDP Under Structural Breaks," Staff Working Papers 14-39, Bank of Canada.
    8. Barnett, William A. & Chauvet, Marcelle & Leiva-Leon, Danilo, 2016. "Real-time nowcasting of nominal GDP with structural breaks," Journal of Econometrics, Elsevier, vol. 191(2), pages 312-324.

Articles

  1. Danilo Leiva-Leon & Luis Uzeda, 2023. "Endogenous Time Variation in Vector Autoregressions," The Review of Economics and Statistics, MIT Press, vol. 105(1), pages 125-142, January.
    See citations under working paper version above.
  2. Danilo Leiva-Leon & Jaime Martinez-Martin & Eva Ortega, 2022. "Exchange Rate Shocks and Inflation Co-movement in the Euro Area," International Journal of Central Banking, International Journal of Central Banking, vol. 18(1), pages 239-275, March.
    See citations under working paper version above.
  3. Ductor, Lorenzo & Leiva-León, Danilo, 2022. "Fluctuations in global output volatility," Journal of International Money and Finance, Elsevier, vol. 120(C).

    Cited by:

    1. Olagunju, Kehinde Oluseyi & Olagunju, Kehinde Ademola & Ogunniyi, Adebayo Isaiah & Omotayo, Abiodun Olusola & Oyetunde-Usman, Zainab, 2023. "To own or not to own? Land tenure security and production risk in small-scale farming," Land Use Policy, Elsevier, vol. 127(C).
    2. Gnangnon, Sèna Kimm, 2023. "Effect of the duration of membership in the GATT/WTO on economic growth volatility," Structural Change and Economic Dynamics, Elsevier, vol. 65(C), pages 448-467.
    3. Gnangnon, Sèna Kimm, 2022. "Effect of structural economic vulnerability on the participation in international trade," EconStor Preprints 262004, ZBW - Leibniz Information Centre for Economics.

  4. Pierre Guérin & Danilo Leiva-Leon & Massimiliano Marcellino, 2020. "Markov-Switching Three-Pass Regression Filter," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 38(2), pages 285-302, April.
    See citations under working paper version above.
  5. Gadea-Rivas, María Dolores & Gómez-Loscos, Ana & Leiva-Leon, Danilo, 2019. "Increasing linkages among European regions. The role of sectoral composition," Economic Modelling, Elsevier, vol. 80(C), pages 222-243.

    Cited by:

    1. Corinna Ghirelli & Danilo Leiva-León & Alberto Urtasun, 2023. "Housing prices in Spain: convergence or decoupling?," SERIEs: Journal of the Spanish Economic Association, Springer;Spanish Economic Association, vol. 14(2), pages 165-187, June.
    2. Augusto Cerqua & Roberta Di Stefano & Guido Pellegrini, 2021. "What kind of region reaps the benefits of a currency union?," Working Papers 2/21, Sapienza University of Rome, DISS.
    3. Ana Gómez-Loscos & M. Dolores Gadea & Eduardo Bandres, 2020. "Business cycle patterns in European regions," Empirical Economics, Springer, vol. 59(6), pages 2639-2661, December.
    4. María Gil & Danilo Leiva-Leon & Javier J. Pérez & Alberto Urtasun, 2019. "An application of dynamic factor models to nowcast regional economic activity in Spain," Occasional Papers 1904, Banco de España.

  6. Funke, Michael & Leiva-Leon, Danilo & Tsang, Andrew, 2019. "Mapping China’s time-varying house price landscape," Regional Science and Urban Economics, Elsevier, vol. 78(C).
    See citations under working paper version above.
  7. Camacho, Maximo & Leiva-Leon, Danilo, 2019. "The Propagation Of Industrial Business Cycles," Macroeconomic Dynamics, Cambridge University Press, vol. 23(1), pages 144-177, January.
    See citations under working paper version above.
  8. Danilo Leiva & Jaime Martínez-Martín & Eva Ortega, 2018. "Recent movements in the euro exchange rate and the impact on inflation in the Spanish economy," Economic Bulletin, Banco de España, issue DEC.

    Cited by:

    1. Mariarosaria Comunale, 2019. "An Investigation of the Exchange Rate Pass-Through in the Baltic States," Bank of Lithuania Discussion Paper Series 13, Bank of Lithuania.

  9. Guérin, Pierre & Leiva-Leon, Danilo, 2017. "Model averaging in Markov-switching models: Predicting national recessions with regional data," Economics Letters, Elsevier, vol. 157(C), pages 45-49.
    See citations under working paper version above.
  10. Danilo Leiva-Leon, 2017. "Measuring Business Cycles Intra-Synchronization in US: A Regime-switching Interdependence Framework," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 79(4), pages 513-545, August.
    See citations under working paper version above.
  11. Ductor, Lorenzo & Leiva-Leon, Danilo, 2016. "Dynamics of global business cycle interdependence," Journal of International Economics, Elsevier, vol. 102(C), pages 110-127.
    See citations under working paper version above.
  12. Barnett, William A. & Chauvet, Marcelle & Leiva-Leon, Danilo, 2016. "Real-time nowcasting of nominal GDP with structural breaks," Journal of Econometrics, Elsevier, vol. 191(2), pages 312-324.

    Cited by:

    1. Makram El-Shagi & Kiril Tochkov, 2021. "Divisia Monetary Aggregates for Russia: Money Demand, GDP Nowcasting, and the Price Puzzle," CFDS Discussion Paper Series 2021/1, Center for Financial Development and Stability at Henan University, Kaifeng, Henan, China.
    2. Fokin, Nikita, 2021. "The importance of modeling structural breaks in forecasting Russian GDP," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 63, pages 5-29.
    3. Barnett, William & Suvra Bhadury, Soumya & Ghosh, Taniya, 2015. "An SVAR Approach to Evaluation of Monetary Policy in India: Solution to the Exchange Rate Puzzles in an Open Economy," Studies in Applied Economics 41, The Johns Hopkins Institute for Applied Economics, Global Health, and the Study of Business Enterprise.
    4. Fumio Hayashi & Yuta Tachi, 2023. "Nowcasting Japan’s GDP," Empirical Economics, Springer, vol. 64(4), pages 1699-1735, April.
    5. Abel Rodríguez Tirado & Marcelo Delajara & Federico Hernández Álvarez, 2016. "Nowcasting Mexico’s Short-Term GDP Growth in Real-Time: A Factor Model versus Professional Forecasters," Economía Journal, The Latin American and Caribbean Economic Association - LACEA, vol. 0(Fall 2016), pages 167-182, October.
    6. Ellington, Michael, 2018. "The case for Divisia monetary statistics: A Bayesian time-varying approach," Journal of Economic Dynamics and Control, Elsevier, vol. 96(C), pages 26-41.
    7. Pierre Guérin & Danilo Leiva-Leon & Massimiliano Marcellino, 2017. "Markov-Switching Three-Pass Regression Filter," Staff Working Papers 17-13, Bank of Canada.
    8. Gong, Xu & Lin, Boqiang, 2018. "Structural changes and out-of-sample prediction of realized range-based variance in the stock market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 494(C), pages 27-39.
    9. Xu Gong & Boqiang Lin, 2021. "Effects of structural changes on the prediction of downside volatility in futures markets," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 41(7), pages 1124-1153, July.
    10. Gilbert Mbara, 2017. "Business Cycle Dating after the Great Moderation: A Consistent Two – Stage Maximum Likelihood Method," Working Papers 2017-13, Faculty of Economic Sciences, University of Warsaw.

  13. Leiva-Leon Danilo, 2014. "Real vs. nominal cycles: a multistate Markov-switching bi-factor approach," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 18(5), pages 1-24, December.
    See citations under working paper version above.

Chapters

  1. Elías Albagli & Danilo Leiva-Leon & Diego Saravia, 2016. "U.S. Monetary Spillovers to Latin America: The Role of Long-term Interest Rates," Central Banking, Analysis, and Economic Policies Book Series, in: Elías Albagli & Diego Saravia & Michael Woodford (ed.),Monetary Policy through Asset Markets: Lessons from Unconventional Measures and Implications for an Integrated World, edition 1, volume 24, chapter 9, pages 285-307, Central Bank of Chile.

    Cited by:

    1. Eijffinger, Sylvester & Malagon, Jonathan, 2018. "Financial spillovers of international monetary policy: Six hypotheses on the Latin American case, 2010-2016," CEPR Discussion Papers 12678, C.E.P.R. Discussion Papers.

  2. Maximo Camacho & Danilo Leiva-Leon & Gabriel Perez-Quiros, 2016. "Country Shocks, Monetary Policy Expectations and ECB Decisions. A Dynamic Non-linear Approach," Advances in Econometrics, in: Dynamic Factor Models, volume 35, pages 283-316, Emerald Group Publishing Limited.
    See citations under working paper version above.
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