Growt-at-risk in Costa Rica: an Open and Small Economy Perspective
Author
Abstract
Suggested Citation
Download full text from publisher
References listed on IDEAS
- Tobias Adrian & Federico Grinberg & Nellie Liang & Sheheryar Malik & Jie Yu, 2022.
"The Term Structure of Growth-at-Risk,"
American Economic Journal: Macroeconomics, American Economic Association, vol. 14(3), pages 283-323, July.
- Mr. Tobias Adrian & Federico Grinberg & Nellie Liang & Sheheryar Malik, 2018. "The Term Structure of Growth-at-Risk," IMF Working Papers 2018/180, International Monetary Fund.
- Adrian, Tobias & Liang, Nellie & Grinberg, Federico & Malik, Sheherya, 2018. "The Term Structure of Growth-at-Risk," CEPR Discussion Papers 13349, C.E.P.R. Discussion Papers.
- Doz, Catherine & Giannone, Domenico & Reichlin, Lucrezia, 2011.
"A two-step estimator for large approximate dynamic factor models based on Kalman filtering,"
Journal of Econometrics, Elsevier, vol. 164(1), pages 188-205, September.
- Catherine Doz & Domenico Giannone & Lucrezia Reichlin, 2006. "A Two-step estimator for large approximate dynamic factor models based on Kalman filtering," THEMA Working Papers 2006-23, THEMA (THéorie Economique, Modélisation et Applications), Université de Cergy-Pontoise.
- Catherine Doz & Domenico Giannone & Lucrezia Reichlin, 2011. "A two-step estimator for large approximate dynamic factor models based on Kalman filtering," PSE-Ecole d'économie de Paris (Postprint) hal-00638009, HAL.
- Catherine Doz & Domenico Giannone & Lucrezia Reichlin, 2011. "A two-step estimator for large approximate dynamic factor models based on Kalman filtering," Post-Print hal-00638009, HAL.
- Catherine Doz & Domenico Giannone & Lucrezia Reichlin, 2011. "A two-step estimator for large approximate dynamic factor models based on Kalman filtering," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) hal-00638009, HAL.
- Catherine Doz & Lucrezia Reichlin, 2011. "A two-step estimator for large approximate dynamic factor models based on Kalman filtering," Post-Print hal-00844811, HAL.
- Reichlin, Lucrezia & Doz, Catherine & Giannone, Domenico, 2007. "A Two-Step Estimator for Large Approximate Dynamic Factor Models Based on Kalman Filtering," CEPR Discussion Papers 6043, C.E.P.R. Discussion Papers.
- Ossandon Busch, Matias & Sánchez-Martínez, José Manuel & Rodríguez-Martínez, Anahí & Montañez-Enríquez, Ricardo & Martínez-Jaramillo, Serafín, 2022. "Growth at risk: Methodology and applications in an open-source platform," Latin American Journal of Central Banking (previously Monetaria), Elsevier, vol. 3(3).
- Scott Brave & R. Andrew Butters, 2012. "Diagnosing the Financial System: Financial Conditions and Financial Stress," International Journal of Central Banking, International Journal of Central Banking, vol. 8(2), pages 191-239, June.
- María Victoria Landaberry & Rodrigo Lluberas & Micaela Vidal, 2021. "Una aplicación de la metodología Growth at Risk a Uruguay," Documentos de trabajo 2021009, Banco Central del Uruguay.
- Wilmar Cabrera & Jorge Hurtado & Miguel Morales & Juan Sebastián Rojas, 2014.
"A Composite Indicator of Systemic Stress (CISS) for Colombia,"
Temas de Estabilidad Financiera
80, Banco de la Republica de Colombia.
- Wilmar Cabrera & Jorge Hurtado & Miguel Morales & Juan Sebastián Rojas, 2014. "A Composite Indicator of Systemic Stress (CISS) for Colombia," Borradores de Economia 826, Banco de la Republica de Colombia.
- Wilmar Cabrera & Jorge Hurtado & Miguel Morales & Juan Sebasti�n Rojas, 2014. "A Composite Indicator of Systemic Stress (CISS) for Colombia," Borradores de Economia 11697, Banco de la Republica.
- Kathryn Holston & Thomas Laubach & John C. Williams, 2023. "Measuring the Natural Rate of Interest after COVID-19," Staff Reports 1063, Federal Reserve Bank of New York.
- Stock, James H & Watson, Mark W, 2002. "Macroeconomic Forecasting Using Diffusion Indexes," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(2), pages 147-162, April.
- repec:hal:journl:peer-00844811 is not listed on IDEAS
- Diego Chicana & Rafael Nivin, 2021. "Evaluating Growth-at-Risk as a tool for monitoring macro-financial risks in the Peruvian economy," IHEID Working Papers 07-2021, Economics Section, The Graduate Institute of International Studies.
- John C. Williams, 2023. "Measuring the Natural Rate of Interest: Past, Present, and Future," Speech 96178, Federal Reserve Bank of New York.
- Adelchi Azzalini & Antonella Capitanio, 2003. "Distributions generated by perturbation of symmetry with emphasis on a multivariate skew t‐distribution," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 65(2), pages 367-389, May.
Most related items
These are the items that most often cite the same works as this one and are cited by the same works as this one.- Gloria González‐Rivera & C. Vladimir Rodríguez‐Caballero & Esther Ruiz, 2024.
"Expecting the unexpected: Stressed scenarios for economic growth,"
Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 39(5), pages 926-942, August.
- Gloria Gonzalez-Rivera & Vladimir Rodriguez-Caballero & Esther Ruiz, 2023. "Expecting the unexpected: Stressed scenarios for economic growth," Working Papers 202314, University of California at Riverside, Department of Economics.
- Raluca Maran, 2023. "Impact of macroprudential policy on economic growth in Indonesia: a growth-at-risk approach," Eurasian Economic Review, Springer;Eurasia Business and Economics Society, vol. 13(3), pages 575-613, December.
- Lucrezia Reichlin & Giovanni Ricco & Thomas Hasenzagl, 2020.
"Financial Variables as Predictors of Real Growth Vulnerability,"
Documents de Travail de l'OFCE
2020-06, Observatoire Francais des Conjonctures Economiques (OFCE).
- Lucrezia Reichlin & Giovanni Ricco & Thomas Hasenzagl, 2020. "Financial Variables as Predictors of Real Growth Vulnerability," Working Papers hal-03403077, HAL.
- Lucrezia Reichlin & Giovanni Ricco & Thomas Hasenzagl, 2020. "Financial Variables as Predictors of Real Growth Vulnerability," Sciences Po Economics Publications (main) hal-03403077, HAL.
- Reichlin, Lucrezia & Ricco, Giovanni & Hasenzagl, Thomas, 2020. "Financial Variables as Predictors of Real Growth Vulnerability," CEPR Discussion Papers 14322, C.E.P.R. Discussion Papers.
- Reichlin, Lucrezia & Ricco, Giovanni & Hasenzagl, Thomas, 2020. "Financial variables as predictors of real growth vulnerability," Discussion Papers 05/2020, Deutsche Bundesbank.
- repec:hal:spmain:info:hdl:2441/4nn4ojjkth8qe9ci5b0hpu7ala is not listed on IDEAS
- repec:spo:wpmain:info:hdl:2441/4nn4ojjkth8qe9ci5b0hpu7ala is not listed on IDEAS
- Hyeongwoo Kim & Wen Shi & Hyun Hak Kim, 2020.
"Forecasting financial stress indices in Korea: a factor model approach,"
Empirical Economics, Springer, vol. 59(6), pages 2859-2898, December.
- Hyeongwoo Kim & Hyun Hak Kim & Wen Shi, 2015. "Forecasting Financial Stress Indices in Korea: A Factor Model Approach," Working Papers 2015-30, Economic Research Institute, Bank of Korea.
- Hyeongwoo Kim & Wen Shi & Hyun Hak Kim, 2016. "Forecasting Financial Stress Indices in Korea: A Factor Model Approach," Auburn Economics Working Paper Series auwp2016-10, Department of Economics, Auburn University.
- Hyeongwoo Kim & Wen Shi & Hyun Hak Kim, 2019. "Forecasting Financial Stress Indices in Korea: A Factor Model Approach," Auburn Economics Working Paper Series auwp2019-02, Department of Economics, Auburn University.
- Hyeongwoo Kim & Wen Shi & Hyun Hak Kim, 2018. "Forecasting Financial Stress Indices in Korea: A Factor Model Approach," Auburn Economics Working Paper Series auwp2018-06, Department of Economics, Auburn University.
- Kim, Hyeongwoo & Shi, Wen & Kim, Hyun Hak, 2018. "Forecasting Financial Stress Indices in Korea: A Factor Model Approach," MPRA Paper 89768, University Library of Munich, Germany.
- Catherine Doz & Domenico Giannone & Lucrezia Reichlin, 2012.
"A Quasi–Maximum Likelihood Approach for Large, Approximate Dynamic Factor Models,"
The Review of Economics and Statistics, MIT Press, vol. 94(4), pages 1014-1024, November.
- Doz, Catherine & Giannone, Domenico & Reichlin, Lucrezia, 2006. "A quasi maximum likelihood approach for large approximate dynamic factor models," Working Paper Series 674, European Central Bank.
- Catherine Doz & Domenico Giannone & Lucrezia Reichlin, 2012. "A Quasi Maximum Likelihood Approach for Large, Approximate Dynamic Factor Models," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) hal-00638440, HAL.
- Catherine Doz & Domenico Giannone & Lucrezia Reichlin, 2012. "A Quasi Maximum Likelihood Approach for Large, Approximate Dynamic Factor Models," PSE-Ecole d'économie de Paris (Postprint) hal-00638440, HAL.
- Catherine Doz & Domenico Giannone & Lucrezia Reichlin, 2012. "A Quasi Maximum Likelihood Approach for Large, Approximate Dynamic Factor Models," Post-Print hal-00638440, HAL.
- Catherine Doz & Domenico Giannone & Lucrezia Reichlin, 2008. "A Quasi Maximum Likelihood Approach for Large Approximate Dynamic Factor Models," Working Papers ECARES 2008_034, ULB -- Universite Libre de Bruxelles.
- Reichlin, Lucrezia & Doz, Catherine & Giannone, Domenico, 2006. "A Quasi Maximum Likelihood Approach for Large Approximate Dynamic Factor Models," CEPR Discussion Papers 5724, C.E.P.R. Discussion Papers.
- Aastveit, Knut Are & Trovik, Tørres, 2014.
"Estimating the output gap in real time: A factor model approach,"
The Quarterly Review of Economics and Finance, Elsevier, vol. 54(2), pages 180-193.
- Knut Are Aastveit & Tørres G. Trovik, 2008. "Estimating the output gap in real time: A factor model approach," Working Paper 2008/23, Norges Bank.
- Schick, Manuel, 2024. "Real-time Nowcasting Growth-at-Risk using the Survey of Professional Forecasters," Working Papers 0750, University of Heidelberg, Department of Economics.
- Kamber, Güneş & Morley, James & Wong, Benjamin, 2025.
"Trend-cycle decomposition in the presence of large shocks,"
Journal of Economic Dynamics and Control, Elsevier, vol. 173(C).
- Gunes Kamber & James Morley & Benjamin Wong, 2024. "Trend-Cycle Decomposition in the Presence of Large Shocks," CAMA Working Papers 2024-24, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University, revised Aug 2024.
- Hartwig, Benny & Meinerding, Christoph & Schüler, Yves S., 2021.
"Identifying indicators of systemic risk,"
Journal of International Economics, Elsevier, vol. 132(C).
- Hartwig, Benny & Meinerding, Christoph & Schüler, Yves, 2020. "Identifying indicators of systemic risk," Discussion Papers 33/2020, Deutsche Bundesbank.
- Tobias Adrian & Nina Boyarchenko & Domenico Giannone, 2019.
"Vulnerable Growth,"
American Economic Review, American Economic Association, vol. 109(4), pages 1263-1289, April.
- Adrian, Tobias & Boyarchenko, Nina & Giannone, Domenico, 2016. "Vulnerable Growth," CEPR Discussion Papers 11583, C.E.P.R. Discussion Papers.
- Tobias Adrian & Nina Boyarchenko & Domenico Giannone, 2016. "Vulnerable growth," Staff Reports 794, Federal Reserve Bank of New York.
- Tobias Adrian & Nina Boyarchenko & Domenico Giannone, 2018. "Vulnerable Growth," Liberty Street Economics 20180409, Federal Reserve Bank of New York.
- Nina Boyarchenko & Domenico Giannone & Tobias Adrian, 2017. "Vulnerable Growth," 2017 Meeting Papers 1317, Society for Economic Dynamics.
- Tommaso Proietti, 2008.
"Estimation of Common Factors Under Cross-Sectional and Temporal Aggregation Constraints: Nowcasting Monthly GDP and Its Main Components,"
Springer Books, in: Paula Brito (ed.), Compstat 2008, pages 547-558,
Springer.
- Proietti, Tommaso, 2008. "Estimation of Common Factors under Cross-Sectional and Temporal Aggregation Constraints: Nowcasting Monthly GDP and its Main Components," MPRA Paper 6860, University Library of Munich, Germany.
- Thomas Despois & Catherine Doz, 2023. "Identifying and interpreting the factors in factor models via sparsity: Different approaches," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 38(4), pages 533-555, June.
- Vladimir Kuzin & Massimiliano Marcellino & Christian Schumacher, 2009.
"Pooling versus Model Selection for Nowcasting with Many Predictors: An Application to German GDP,"
Economics Working Papers
ECO2009/13, European University Institute.
- Kuzin, Vladimir N. & Marcellino, Massimiliano & Schumacher, Christian, 2009. "Pooling versus model selection for nowcasting with many predictors: an application to German GDP," Discussion Paper Series 1: Economic Studies 2009,03, Deutsche Bundesbank.
- Schumacher, Christian & Marcellino, Massimiliano & Kuzin, Vladimir, 2009. "Pooling versus model selection for nowcasting with many predictors: An application to German GDP," CEPR Discussion Papers 7197, C.E.P.R. Discussion Papers.
- Mario Forni & Alessandro Giovannelli & Marco Lippi & Stefano Soccorsi, 2018.
"Dynamic factor model with infinite‐dimensional factor space: Forecasting,"
Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 33(5), pages 625-642, August.
- Forni, Mario & Giovannelli, Alessandro & Lippi, Marco & Soccorsi, Stefano, 2016. "Dynamic Factor model with infinite dimensional factor space: forecasting," CEPR Discussion Papers 11161, C.E.P.R. Discussion Papers.
- Mario Forni & Alessandro Giovannelli & Marco Lippi & Stefano Soccorsi, 2016. "Dynamic Factor Model with Infinite Dimensional Factor Space: Forecasting," Working Papers ECARES ECARES 2016-16, ULB -- Universite Libre de Bruxelles.
- Mario Forni & Alessandro Giovannelli & Marco Lippi & Stefano Soccorsi, 2016. "Dynamic Factor model with infinite dimensional factor space: forecasting," Center for Economic Research (RECent) 120, University of Modena and Reggio E., Dept. of Economics "Marco Biagi".
- Karen Poghosyan & Ruben Poghosyan, 2021.
"On the Applicability of Dynamic Factor Models for Forecasting Real GDP Growth in Armenia,"
Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, vol. 71(1), pages 52-79, June.
- Karen Poghosyan & Ruben Poghosyan, 2021. "On the applicability of dynamic factor models for forecasting real GDP growth in Armenia," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 61, pages 28-46.
- Katerina Arnostova & David Havrlant & Luboš Rùžièka & Peter Tóth, 2011.
"Short-Term Forecasting of Czech Quarterly GDP Using Monthly Indicators,"
Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, vol. 61(6), pages 566-583, December.
- Katerina Arnostova & David Havrlant & Lubos Ruzicka & Peter Toth, 2010. "Short-Term Forecasting of Czech Quarterly GDP Using Monthly Indicators," Working Papers 2010/12, Czech National Bank, Research and Statistics Department.
- Simona Delle Chiaie & Laurent Ferrara & Domenico Giannone, 2022.
"Common factors of commodity prices,"
Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 37(3), pages 461-476, April.
- Delle Chiaie, Simona & Ferrara, Laurent & Giannone, Domenico, 2018. "Common factors of commodity prices," Research Bulletin, European Central Bank, vol. 51.
- Simona Delle Chiaie & Laurent Ferrara & Domenico Giannone, 2017. "Common Factors of Commodity Prices," Working papers 645, Banque de France.
- Giannone, Domenico & Ferrara, Laurent & Delle Chiaie, Simona, 2018. "Common Factors of Commodity Prices," CEPR Discussion Papers 12767, C.E.P.R. Discussion Papers.
- Delle Chiaie, Simona & Ferrara, Laurent & Giannone, Domenico, 2017. "Common factors of commodity prices," Working Paper Series 2112, European Central Bank.
- Brunhes-Lesage, Véronique & Darné, Olivier, 2012. "Nowcasting the French index of industrial production: A comparison from bridge and factor models," Economic Modelling, Elsevier, vol. 29(6), pages 2174-2182.
- Adams, Patrick A. & Adrian, Tobias & Boyarchenko, Nina & Giannone, Domenico, 2021.
"Forecasting macroeconomic risks,"
International Journal of Forecasting, Elsevier, vol. 37(3), pages 1173-1191.
- Patrick A. Adams & Tobias Adrian & Nina Boyarchenko & Domenico Giannone, 2020. "Forecasting Macroeconomic Risks," Staff Reports 914, Federal Reserve Bank of New York.
- Adrian, Tobias & Adams, Patrick & Boyarchenko, Nina & Giannone, Domenico, 2020. "Forecasting Macroeconomic Risks," CEPR Discussion Papers 14436, C.E.P.R. Discussion Papers.
- Xiong, Ruoxuan & Pelger, Markus, 2023.
"Large dimensional latent factor modeling with missing observations and applications to causal inference,"
Journal of Econometrics, Elsevier, vol. 233(1), pages 271-301.
- Ruoxuan Xiong & Markus Pelger, 2019. "Large Dimensional Latent Factor Modeling with Missing Observations and Applications to Causal Inference," Papers 1910.08273, arXiv.org, revised Jan 2022.
More about this item
Keywords
; ; ; ; ; ;JEL classification:
- C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
- C38 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Classification Methdos; Cluster Analysis; Principal Components; Factor Analysis
- E44 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Financial Markets and the Macroeconomy
- F43 - International Economics - - Macroeconomic Aspects of International Trade and Finance - - - Economic Growth of Open Economies
NEP fields
This paper has been announced in the following NEP Reports:- NEP-FDG-2025-09-01 (Financial Development and Growth)
- NEP-OPM-2025-09-01 (Open Economy Macroeconomics)
Statistics
Access and download statisticsCorrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:apk:doctra:2501. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Departamento de Investigación Económica (email available below). General contact details of provider: https://edirc.repec.org/data/bccrrcr.html .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.
Printed from https://ideas.repec.org/p/apk/doctra/2501.html