Carlos A. Medel

Personal Details

First Name:	Carlos A.
Middle Name:
Last Name:	Medel
Suffix:
RePEc Short-ID:	pme357
	Agustinas 1180, Office 12/Second Floor, Santiago 8340454, CHILE
	+56 2 23882172

Affiliation

Banco Central de Chile

Santiago, Chile
http://www.bcentral.cl/
RePEc:edi:bccgvcl (more details at EDIRC)

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. Nicolas Chanut & Mario Marcel & Carlos Medel, 2018. "Can Economic Perception Surveys Improve Macroeconomic Forecasting in Chile?," Working Papers Central Bank of Chile 824, Central Bank of Chile.
   • Nicolás Chanut & Mario Marcel C. & Carlos A. Medel V., 2019. "Can economic perception surveys improve macroeconomic forecasting in Chile?," Journal Economía Chilena (The Chilean Economy), Central Bank of Chile, vol. 22(3), pages 034-097, December.

   Cited by:

   1. Felipe Leal & Carlos Molina & Eduardo Zilberman, 2020. "Proyección de la Inflación en Chile con Métodos de Machine Learning," Working Papers Central Bank of Chile 860, Central Bank of Chile.
   2. María del Pilar Cruz & Hugo Peralta & Bruno Ávila, 2020. "Análisis de Sentimiento Basado en el Informe de Percepciones de Negocios del Banco Central de Chile," Working Papers Central Bank of Chile 862, Central Bank of Chile.
   3. Camila Figueroa S. & Michael Pedersen, 2019. "Extracting information on economic activity from business and consumer surveys in an emerging economy (Chile)," Journal Economía Chilena (The Chilean Economy), Central Bank of Chile, vol. 22(3), pages 098-131, December.
   4. Elías Albagli I. & Jorge A. Fornero & Miguel A. Fuentes D. & Roberto Zúñiga V., 2019. "On the effects of confidence and uncertainty on aggregate demand: evidence from Chile," Journal Economía Chilena (The Chilean Economy), Central Bank of Chile, vol. 22(3), pages 008-033, December.

2. Carlos Medel, 2018. "Econometric Analysis on Survey-data-based Anchoring of Inflation Expectations in Chile," Working Papers Central Bank of Chile 825, Central Bank of Chile.
   • Carlos Medel, 2018. "An econometric analysis on survey-data-based anchoring of inflation expectations in Chile," Notas de Investigación Journal Economía Chilena (The Chilean Economy), Central Bank of Chile, vol. 21(2), pages 128-152, August.

   Cited by:

   1. Michael Pedersen, 2020. "Surveying the survey: What can we learn about the effects of monetary policy on inflation expectations?," Working Papers Central Bank of Chile 889, Central Bank of Chile.

3. Mario Marcel & Carlos Medel & Jessica Mena, 2017. "Determinantes de la Inflación de Servicios en Chile," Working Papers Central Bank of Chile 803, Central Bank of Chile.

   Cited by:

   1. Carlos Medel, 2018. "Econometric Analysis on Survey-data-based Anchoring of Inflation Expectations in Chile," Working Papers Central Bank of Chile 825, Central Bank of Chile.
      • Carlos Medel, 2018. "An econometric analysis on survey-data-based anchoring of inflation expectations in Chile," Notas de Investigación Journal Economía Chilena (The Chilean Economy), Central Bank of Chile, vol. 21(2), pages 128-152, August.
   2. Carlos Medel, 2021. "Searching for the Best Inflation Forecasters within a Consumer Perceptions Survey: Microdata Evidence from Chile," Working Papers Central Bank of Chile 899, Central Bank of Chile.

4. Carlos Medel, 2016. "Un Análisis de la Capacidad Predictiva del Precio del Cobre sobre la Inflación Global," Working Papers Central Bank of Chile 786, Central Bank of Chile.
   • Carlos A. Medel, 2016. "Un análisis de la capacidad predictiva del precio del cobre sobre la inflación global," Notas de Investigación Journal Economía Chilena (The Chilean Economy), Central Bank of Chile, vol. 19(2), pages 128-153, August.

   Cited by:

   1. Medel, Carlos A., 2015. "Geopolitical Tensions, OPEC News, and Oil Price: A Granger Causality Analysis," MPRA Paper 65667, University Library of Munich, Germany.
      • Carlos Medel, 2017. "Geopolitical Tensions, OPEC News, and Oil Price: A Granger Causality Analysis," Working Papers Central Bank of Chile 805, Central Bank of Chile.
      • Antonio Fernandois & Carlos A. Medel, 2020. "Geopolitical tensions, OPEC news, and the oil price: A granger causality analysis," Revista de Analisis Economico – Economic Analysis Review, Universidad Alberto Hurtado/School of Economics and Business, vol. 35(2), pages 57-90, October.
   2. Carlos Medel, 2016. "Un Análisis de la Capacidad Predictiva del Precio del Cobre sobre la Inflación Global," Working Papers Central Bank of Chile 786, Central Bank of Chile.
      • Carlos A. Medel, 2016. "Un análisis de la capacidad predictiva del precio del cobre sobre la inflación global," Notas de Investigación Journal Economía Chilena (The Chilean Economy), Central Bank of Chile, vol. 19(2), pages 128-153, August.
   3. Carlos Medel, 2021. "Forecasting Brazilian Inflation with the Hybrid New Keynesian Phillips Curve: Assessing the Predictive Role of Trading Partners," Working Papers Central Bank of Chile 900, Central Bank of Chile.

5. Carlos Medel, 2016. "Forecasting Chilean Inflation with the Hybrid New Keynesian Phillips Curve: Globalisation, Combination, and Accuracy," Working Papers Central Bank of Chile 791, Central Bank of Chile.
   • Carlos Medel, 2017. "Forecasting Chilean inflation with the hybrid new keynesian Phillips curve: globalisation, combination, and accuracy," Journal Economía Chilena (The Chilean Economy), Central Bank of Chile, vol. 20(3), pages 004-050, December.
   • Medel, Carlos A., 2017. "Forecasting Chilean Inflation with the Hybrid New Keynesian Phillips Curve: Globalisation, Combination, and Accuracy," MPRA Paper 78439, University Library of Munich, Germany.

   Cited by:

   1. Carlos Medel, 2018. "Econometric Analysis on Survey-data-based Anchoring of Inflation Expectations in Chile," Working Papers Central Bank of Chile 825, Central Bank of Chile.
      • Carlos Medel, 2018. "An econometric analysis on survey-data-based anchoring of inflation expectations in Chile," Notas de Investigación Journal Economía Chilena (The Chilean Economy), Central Bank of Chile, vol. 21(2), pages 128-152, August.
   2. Carlos Medel, 2021. "Searching for the Best Inflation Forecasters within a Consumer Perceptions Survey: Microdata Evidence from Chile," Working Papers Central Bank of Chile 899, Central Bank of Chile.
   3. Carlos Medel, 2021. "Forecasting Brazilian Inflation with the Hybrid New Keynesian Phillips Curve: Assessing the Predictive Role of Trading Partners," Working Papers Central Bank of Chile 900, Central Bank of Chile.

6. Medel, Carlos A., 2015. "Forecasting Inflation with the Hybrid New Keynesian Phillips Curve: A Compact-Scale Global VAR Approach," MPRA Paper 67081, University Library of Munich, Germany.
   • Carlos A. Medel, 2018. "Forecasting Inflation with the Hybrid New Keynesian Phillips Curve: A Compact-Scale Global VAR Approach," International Economic Journal, Taylor & Francis Journals, vol. 32(3), pages 331-371, July.
   • Carlos Medel, 2016. "Forecasting Inflation with the Hybrid New Keynesian Phillips Curve: A Compact-Scale Global VAR Approach," Working Papers Central Bank of Chile 785, Central Bank of Chile.

   Cited by:

   1. Medel, Carlos A., 2017. "Forecasting Chilean Inflation with the Hybrid New Keynesian Phillips Curve: Globalisation, Combination, and Accuracy," MPRA Paper 78439, University Library of Munich, Germany.
      • Carlos Medel, 2017. "Forecasting Chilean inflation with the hybrid new keynesian Phillips curve: globalisation, combination, and accuracy," Journal Economía Chilena (The Chilean Economy), Central Bank of Chile, vol. 20(3), pages 004-050, December.
      • Carlos Medel, 2016. "Forecasting Chilean Inflation with the Hybrid New Keynesian Phillips Curve: Globalisation, Combination, and Accuracy," Working Papers Central Bank of Chile 791, Central Bank of Chile.
   2. Carlos Medel, 2021. "Forecasting Brazilian Inflation with the Hybrid New Keynesian Phillips Curve: Assessing the Predictive Role of Trading Partners," Working Papers Central Bank of Chile 900, Central Bank of Chile.

7. Carlos Medel, 2015. "Fuelling Future Prices: Oil Price and Global Inflation," Working Papers Central Bank of Chile 770, Central Bank of Chile.

   Cited by:

   1. Felipe Leal & Carlos Molina & Eduardo Zilberman, 2020. "Proyección de la Inflación en Chile con Métodos de Machine Learning," Working Papers Central Bank of Chile 860, Central Bank of Chile.
   2. Medel, Carlos A., 2015. "Geopolitical Tensions, OPEC News, and Oil Price: A Granger Causality Analysis," MPRA Paper 65667, University Library of Munich, Germany.
      • Carlos Medel, 2017. "Geopolitical Tensions, OPEC News, and Oil Price: A Granger Causality Analysis," Working Papers Central Bank of Chile 805, Central Bank of Chile.
      • Antonio Fernandois & Carlos A. Medel, 2020. "Geopolitical tensions, OPEC news, and the oil price: A granger causality analysis," Revista de Analisis Economico – Economic Analysis Review, Universidad Alberto Hurtado/School of Economics and Business, vol. 35(2), pages 57-90, October.
   3. Carlos Medel, 2016. "Un Análisis de la Capacidad Predictiva del Precio del Cobre sobre la Inflación Global," Working Papers Central Bank of Chile 786, Central Bank of Chile.
      • Carlos A. Medel, 2016. "Un análisis de la capacidad predictiva del precio del cobre sobre la inflación global," Notas de Investigación Journal Economía Chilena (The Chilean Economy), Central Bank of Chile, vol. 19(2), pages 128-153, August.

8. Medel, Carlos, 2015. "Inflation Dynamics and the Hybrid Neo Keynesian Phillips Curve: The Case of Chile," MPRA Paper 62609, University Library of Munich, Germany.
   • Carlos A. Medel, 2015. "Inflation Dynamics and the Hybrid New Keynesian Phillips Curve: The Case of Chile," Monetaria, Centro de Estudios Monetarios Latinoamericanos, CEMLA, vol. 0(1), pages 25-69, january-j.
   • Carlos Medel, 2015. "Inflation Dynamics and the Hybrid Neo Keynesian Phillips Curve: The Case of Chile," Working Papers Central Bank of Chile 769, Central Bank of Chile.

   Cited by:

   1. Medel, Carlos A., 2017. "Forecasting Chilean Inflation with the Hybrid New Keynesian Phillips Curve: Globalisation, Combination, and Accuracy," MPRA Paper 78439, University Library of Munich, Germany.
      • Carlos Medel, 2017. "Forecasting Chilean inflation with the hybrid new keynesian Phillips curve: globalisation, combination, and accuracy," Journal Economía Chilena (The Chilean Economy), Central Bank of Chile, vol. 20(3), pages 004-050, December.
      • Carlos Medel, 2016. "Forecasting Chilean Inflation with the Hybrid New Keynesian Phillips Curve: Globalisation, Combination, and Accuracy," Working Papers Central Bank of Chile 791, Central Bank of Chile.
   2. Carlos Medel, 2018. "Econometric Analysis on Survey-data-based Anchoring of Inflation Expectations in Chile," Working Papers Central Bank of Chile 825, Central Bank of Chile.
      • Carlos Medel, 2018. "An econometric analysis on survey-data-based anchoring of inflation expectations in Chile," Notas de Investigación Journal Economía Chilena (The Chilean Economy), Central Bank of Chile, vol. 21(2), pages 128-152, August.
   3. Carlos Medel, 2021. "Searching for the Best Inflation Forecasters within a Consumer Perceptions Survey: Microdata Evidence from Chile," Working Papers Central Bank of Chile 899, Central Bank of Chile.
   4. Medel, Carlos A., 2015. "Forecasting Inflation with the Hybrid New Keynesian Phillips Curve: A Compact-Scale Global VAR Approach," MPRA Paper 67081, University Library of Munich, Germany.
      • Carlos Medel, 2016. "Forecasting Inflation with the Hybrid New Keynesian Phillips Curve: A Compact-Scale Global VAR Approach," Working Papers Central Bank of Chile 785, Central Bank of Chile.
      • Carlos A. Medel, 2018. "Forecasting Inflation with the Hybrid New Keynesian Phillips Curve: A Compact-Scale Global VAR Approach," International Economic Journal, Taylor & Francis Journals, vol. 32(3), pages 331-371, July.
   5. Carlos Medel, 2021. "Forecasting Brazilian Inflation with the Hybrid New Keynesian Phillips Curve: Assessing the Predictive Role of Trading Partners," Working Papers Central Bank of Chile 900, Central Bank of Chile.

9. Medel, Carlos, 2015. "Producers, Politicians, Warriors, and Forecasters: Who's Who in the Oil Market?," MPRA Paper 65298, University Library of Munich, Germany.

   Cited by:

   1. Su, Chi-Wei & Qin, Meng & Tao, Ran & Shao, Xue-Feng & Albu, Lucian Liviu & Umar, Muhammad, 2020. "Can Bitcoin hedge the risks of geopolitical events?," Technological Forecasting and Social Change, Elsevier, vol. 159(C).

10. Medel, Carlos & Camilleri, Gilmour & Hsu, Hsiang-Ling & Kania, Stefan & Touloumtzoglou, Miltiadis, 2015. "Robustness in Foreign Exchange Rate Forecasting Models: Economics-based Modelling After the Financial Crisis," MPRA Paper 65290, University Library of Munich, Germany.
    • Carlos Medel & Gilmour Camilleri & Hsiang-Ling Hsu & Stefan Kania & Miltiadis Touloumtzoglou, 2016. "Robustness in Foreign Exchange Rate Forecasting Models: Economics-Based Modelling After the Financial Crisis," Working Papers Central Bank of Chile 784, Central Bank of Chile.

    Cited by:

    1. Nyoni, Thabani, 2018. "Modeling and Forecasting Naira / USD Exchange Rate In Nigeria: a Box - Jenkins ARIMA approach," MPRA Paper 88622, University Library of Munich, Germany, revised 19 Aug 2018.

11. Medel, Carlos & Pincheira, Pablo, 2015. "The Out-of-sample Performance of an Exact Median-Unbiased Estimator for the Near-Unity AR(1) Model," MPRA Paper 62552, University Library of Munich, Germany.
    • Carlos A. Medel & Pablo M. Pincheira, 2016. "The out-of-sample performance of an exact median-unbiased estimator for the near-unity AR(1) model," Applied Economics Letters, Taylor & Francis Journals, vol. 23(2), pages 126-131, February.
    • Carlos Medel & Pablo Pincheira, 2015. "The Out-of-Sample Performance of An Exact Median-Unbiased Estimator for the Near-Unity Ar(1)Model," Working Papers Central Bank of Chile 768, Central Bank of Chile.

    Cited by:

    1. Medel, Carlos A., 2017. "Forecasting Chilean Inflation with the Hybrid New Keynesian Phillips Curve: Globalisation, Combination, and Accuracy," MPRA Paper 78439, University Library of Munich, Germany.
       • Carlos Medel, 2017. "Forecasting Chilean inflation with the hybrid new keynesian Phillips curve: globalisation, combination, and accuracy," Journal Economía Chilena (The Chilean Economy), Central Bank of Chile, vol. 20(3), pages 004-050, December.
       • Carlos Medel, 2016. "Forecasting Chilean Inflation with the Hybrid New Keynesian Phillips Curve: Globalisation, Combination, and Accuracy," Working Papers Central Bank of Chile 791, Central Bank of Chile.
    2. Carlos A. Medel & Michael Pedersen & Pablo M. Pincheira, 2016. "The Elusive Predictive Ability of Global Inflation," International Finance, Wiley Blackwell, vol. 19(2), pages 120-146, June.
       • Carlos Medel & Michael Pedersen & Pablo Pincheira, 2014. "The Elusive Predictive Ability of Global Inflation," Working Papers Central Bank of Chile 725, Central Bank of Chile.
    3. Carlos Medel, 2016. "Un Análisis de la Capacidad Predictiva del Precio del Cobre sobre la Inflación Global," Working Papers Central Bank of Chile 786, Central Bank of Chile.
       • Carlos A. Medel, 2016. "Un análisis de la capacidad predictiva del precio del cobre sobre la inflación global," Notas de Investigación Journal Economía Chilena (The Chilean Economy), Central Bank of Chile, vol. 19(2), pages 128-153, August.
    4. Medel, Carlos A., 2015. "Forecasting Inflation with the Hybrid New Keynesian Phillips Curve: A Compact-Scale Global VAR Approach," MPRA Paper 67081, University Library of Munich, Germany.
       • Carlos Medel, 2016. "Forecasting Inflation with the Hybrid New Keynesian Phillips Curve: A Compact-Scale Global VAR Approach," Working Papers Central Bank of Chile 785, Central Bank of Chile.
       • Carlos A. Medel, 2018. "Forecasting Inflation with the Hybrid New Keynesian Phillips Curve: A Compact-Scale Global VAR Approach," International Economic Journal, Taylor & Francis Journals, vol. 32(3), pages 331-371, July.
    5. Carlos Medel, 2021. "Forecasting Brazilian Inflation with the Hybrid New Keynesian Phillips Curve: Assessing the Predictive Role of Trading Partners," Working Papers Central Bank of Chile 900, Central Bank of Chile.

12. Carlos Medel & Michael Pedersen & Pablo Pincheira, 2014. "The Elusive Predictive Ability of Global Inflation," Working Papers Central Bank of Chile 725, Central Bank of Chile.
    • Carlos A. Medel & Michael Pedersen & Pablo M. Pincheira, 2016. "The Elusive Predictive Ability of Global Inflation," International Finance, Wiley Blackwell, vol. 19(2), pages 120-146, June.

    Cited by:

    1. Duncan, Roberto & Martínez-García, Enrique, 2019. "New perspectives on forecasting inflation in emerging market economies: An empirical assessment," International Journal of Forecasting, Elsevier, vol. 35(3), pages 1008-1031.
       • Roberto Duncan & Enrique Martinez-Garcia, 2018. "New Perspectives on Forecasting Inflation in Emerging Market Economies: An Empirical Assessment," Globalization Institute Working Papers 338, Federal Reserve Bank of Dallas.
    2. Pincheira, Pablo & Hernández, Ana María, 2019. "Forecasting Unemployment Rates with International Factors," MPRA Paper 97855, University Library of Munich, Germany.
    3. Pincheira, Pablo M. & West, Kenneth D., 2016. "A comparison of some out-of-sample tests of predictability in iterated multi-step-ahead forecasts," Research in Economics, Elsevier, vol. 70(2), pages 304-319.
    4. Jonathan Kearns, 2016. "Global inflation forecasts," BIS Working Papers 582, Bank for International Settlements.
    5. Pincheira, Pablo, 2017. "A Power Booster Factor for Out-of-Sample Tests of Predictability," MPRA Paper 77027, University Library of Munich, Germany.
    6. Dellas, Harris & Gibson, Heather D. & Hall, Stephen G. & Tavlas, George S., 2018. "The macroeconomic and fiscal implications of inflation forecast errors," Journal of Economic Dynamics and Control, Elsevier, vol. 93(C), pages 203-217.
    7. Mikael Juselius & Előd Takáts, 2018. "The enduring link between demography and inflation," BIS Working Papers 722, Bank for International Settlements.
       • Juselius, Mikael & Takáts, Előd, 2018. "The enduring link between demography and inflation," Research Discussion Papers 8/2018, Bank of Finland.
    8. Juan Carlos Berganza & Pedro del Río & Fructuoso Borrallo, 2016. "Determinants and implications of low global inflation rates," Occasional Papers 1608, Banco de España.
    9. Nyoni, Thabani & Nathaniel, Solomon Prince, 2018. "Modeling rates of inflation in Nigeria: an application of ARMA, ARIMA and GARCH models," MPRA Paper 91351, University Library of Munich, Germany.
    10. Carlos Medel, 2016. "Un Análisis de la Capacidad Predictiva del Precio del Cobre sobre la Inflación Global," Working Papers Central Bank of Chile 786, Central Bank of Chile.
        • Carlos A. Medel, 2016. "Un análisis de la capacidad predictiva del precio del cobre sobre la inflación global," Notas de Investigación Journal Economía Chilena (The Chilean Economy), Central Bank of Chile, vol. 19(2), pages 128-153, August.
    11. Friedrich, Christian, 2016. "Global inflation dynamics in the post-crisis period: What explains the puzzles?," Economics Letters, Elsevier, vol. 142(C), pages 31-34.
        • Christian Friedrich, 2014. "Global Inflation Dynamics in the Post-Crisis Period: What Explains the Twin Puzzle?," Staff Working Papers 14-36, Bank of Canada.
    12. S. Béreau & V. Faubert & K. Schmidt, 2018. "Explaining and Forecasting Euro Area Inflation: the Role of Domestic and Global Factors," Working papers 663, Banque de France.
    13. Carlos Medel, 2021. "Forecasting Brazilian Inflation with the Hybrid New Keynesian Phillips Curve: Assessing the Predictive Role of Trading Partners," Working Papers Central Bank of Chile 900, Central Bank of Chile.

13. Medel, Carlos A., 2014. "Probabilidad Clásica de Sobreajuste con Criterios de Información: Estimaciones con Series Macroeconómicas Chilenas [Classical Probability of Overfitting with Information Criteria: Estimations with ," MPRA Paper 57401, University Library of Munich, Germany.
    • Carlos A. Medel, 2015. "Probabilidad Clásica de Sobreajuste con Criterios de Información: Estimaciones con Series Macroeconómicas Chilenas," Revista de Analisis Economico – Economic Analysis Review, Universidad Alberto Hurtado/School of Economics and Business, vol. 30(1), pages 57-72, Abril.
    • Carlos Medel, 2014. "Probabilidad Clásica de Sobreajuste con Criterios de Información: Estimaciones con Series Macroeconómicas Chilenas," Working Papers Central Bank of Chile 735, Central Bank of Chile.

    Cited by:

    1. Medel, Carlos A., 2017. "Forecasting Chilean Inflation with the Hybrid New Keynesian Phillips Curve: Globalisation, Combination, and Accuracy," MPRA Paper 78439, University Library of Munich, Germany.
       • Carlos Medel, 2017. "Forecasting Chilean inflation with the hybrid new keynesian Phillips curve: globalisation, combination, and accuracy," Journal Economía Chilena (The Chilean Economy), Central Bank of Chile, vol. 20(3), pages 004-050, December.
       • Carlos Medel, 2016. "Forecasting Chilean Inflation with the Hybrid New Keynesian Phillips Curve: Globalisation, Combination, and Accuracy," Working Papers Central Bank of Chile 791, Central Bank of Chile.
    2. Medel, Carlos A., 2015. "Forecasting Inflation with the Hybrid New Keynesian Phillips Curve: A Compact-Scale Global VAR Approach," MPRA Paper 67081, University Library of Munich, Germany.
       • Carlos Medel, 2016. "Forecasting Inflation with the Hybrid New Keynesian Phillips Curve: A Compact-Scale Global VAR Approach," Working Papers Central Bank of Chile 785, Central Bank of Chile.
       • Carlos A. Medel, 2018. "Forecasting Inflation with the Hybrid New Keynesian Phillips Curve: A Compact-Scale Global VAR Approach," International Economic Journal, Taylor & Francis Journals, vol. 32(3), pages 331-371, July.

14. Carlos Medel, 2014. "The Typical Spectral Shape of An Economic Variable: A Visual Guide with 100 Examples," Working Papers Central Bank of Chile 719, Central Bank of Chile.
    • Medel, Carlos A., 2014. "The Typical Spectral Shape of an Economic Variable: A Visual Guide with 100 Examples," MPRA Paper 53584, University Library of Munich, Germany.

    Cited by:

    1. Sibani, Paolo & Rasmussen, Steen, 2020. "Human wealth evolution: Trends and fluctuations," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 558(C).
    2. Fousekis, Panos & Tzaferi, Dimitra, 2021. "Returns and volume: Frequency connectedness in cryptocurrency markets," Economic Modelling, Elsevier, vol. 95(C), pages 13-20.

15. Medel, Carlos A. & Salgado, Sergio C., 2012. "Does BIC Estimate and Forecast Better than AIC?," MPRA Paper 42235, University Library of Munich, Germany.
    • Carlos A. Medel & Sergio C. Salgado, 2013. "Does the Bic Estimate and Forecast Better than the Aic?," Revista de Analisis Economico – Economic Analysis Review, Universidad Alberto Hurtado/School of Economics and Business, vol. 28(1), pages 47-64, April.
    • Carlos A. Medel & Sergio C. Salgado, 2012. "Does BIC Estimate and Forecast Better Than AIC?," Working Papers Central Bank of Chile 679, Central Bank of Chile.

    Cited by:

    1. Medel, Carlos A., 2017. "Forecasting Chilean Inflation with the Hybrid New Keynesian Phillips Curve: Globalisation, Combination, and Accuracy," MPRA Paper 78439, University Library of Munich, Germany.
       • Carlos Medel, 2017. "Forecasting Chilean inflation with the hybrid new keynesian Phillips curve: globalisation, combination, and accuracy," Journal Economía Chilena (The Chilean Economy), Central Bank of Chile, vol. 20(3), pages 004-050, December.
       • Carlos Medel, 2016. "Forecasting Chilean Inflation with the Hybrid New Keynesian Phillips Curve: Globalisation, Combination, and Accuracy," Working Papers Central Bank of Chile 791, Central Bank of Chile.
    2. Medel, Carlos A., 2014. "Probabilidad Clásica de Sobreajuste con Criterios de Información: Estimaciones con Series Macroeconómicas Chilenas [Classical Probability of Overfitting with Information Criteria: Estimations with ," MPRA Paper 57401, University Library of Munich, Germany.
       • Carlos A. Medel, 2015. "Probabilidad Clásica de Sobreajuste con Criterios de Información: Estimaciones con Series Macroeconómicas Chilenas," Revista de Analisis Economico – Economic Analysis Review, Universidad Alberto Hurtado/School of Economics and Business, vol. 30(1), pages 57-72, Abril.
       • Carlos Medel, 2014. "Probabilidad Clásica de Sobreajuste con Criterios de Información: Estimaciones con Series Macroeconómicas Chilenas," Working Papers Central Bank of Chile 735, Central Bank of Chile.
    3. Medel, Carlos A., 2015. "Forecasting Inflation with the Hybrid New Keynesian Phillips Curve: A Compact-Scale Global VAR Approach," MPRA Paper 67081, University Library of Munich, Germany.
       • Carlos Medel, 2016. "Forecasting Inflation with the Hybrid New Keynesian Phillips Curve: A Compact-Scale Global VAR Approach," Working Papers Central Bank of Chile 785, Central Bank of Chile.
       • Carlos A. Medel, 2018. "Forecasting Inflation with the Hybrid New Keynesian Phillips Curve: A Compact-Scale Global VAR Approach," International Economic Journal, Taylor & Francis Journals, vol. 32(3), pages 331-371, July.

16. Medel, Carlos A., 2012. "¿Akaike o Schwarz? ¿Cuál elegir para predecir el PIB chileno? [Akaike or Schwarz? Which One is a Better Predictor of Chilean GDP?]," MPRA Paper 35950, University Library of Munich, Germany.
    • Carlos Medel, 2012. "¿Akaike o Schwarz? ¿Cuál elegir para Predecir el PIB Chileno?," Working Papers Central Bank of Chile 658, Central Bank of Chile.

    Cited by:

    1. Carlos Garcia, 2012. "Impacto del Costo de la Energía Eléctrica en la Economía Chilena: Una Perspectiva Macroeconómica," ILADES-UAH Working Papers inv281, Universidad Alberto Hurtado/School of Economics and Business.
    2. Carlos J. García & Pablo González M. & Antonio Moncado S., 2013. "Macroeconomic Forecasting in Chile: a Structural Bayesian Approach," Journal Economía Chilena (The Chilean Economy), Central Bank of Chile, vol. 16(1), pages 24-63, April.
    3. Stephanie Schmitt-Grohé & Martín Uribe, 2012. "Pegs, Downward Wage Rigidity, and Unemployment: the Role of Financial Structure," Working Papers Central Bank of Chile 672, Central Bank of Chile.
       • Stephanie Schmitt-Grohé & Martín Uribe, 2014. "Pegs, Downward Wage Rigidity and Unemployment: The Role of Financial Structure," Central Banking, Analysis, and Economic Policies Book Series, in: Miguel Fuentes D. & Claudio E. Raddatz & Carmen M. Reinhart (ed.),Capital Mobility and Monetary Policy, edition 1, volume 18, chapter 3, pages 69-95, Central Bank of Chile.
       • Stephanie Schmitt-Grohé & Martín Uribe, 2012. "Pegs, Downward Wage Rigidity, and Unemployment: The Role of Financial Structure," NBER Working Papers 18223, National Bureau of Economic Research, Inc.

17. Medel, Carlos A., 2012. "How informative are in-sample information criteria to forecasting? the case of Chilean GDP," MPRA Paper 35949, University Library of Munich, Germany.
    • Carlos A. Medel, 2013. "How informative are in-sample information criteria to forecasting? The case of Chilean GDP," Latin American Journal of Economics-formerly Cuadernos de Economía, Instituto de Economía. Pontificia Universidad Católica de Chile., vol. 50(1), pages 133-161, May.
    • Carlos Medel, 2012. "How Informative are In–Sample Information Criteria to Forecasting? The Case of Chilean GDP," Working Papers Central Bank of Chile 657, Central Bank of Chile.

    Cited by:

    1. Medel, Carlos A., 2012. "¿Akaike o Schwarz? ¿Cuál elegir para predecir el PIB chileno? [Akaike or Schwarz? Which One is a Better Predictor of Chilean GDP?]," MPRA Paper 35950, University Library of Munich, Germany.
       • Carlos Medel, 2012. "¿Akaike o Schwarz? ¿Cuál elegir para Predecir el PIB Chileno?," Working Papers Central Bank of Chile 658, Central Bank of Chile.
    2. Pereda, Javier, 2010. "Estimación de la Tasa Natural de Interés para el Perú: Un Enfoque Financiero," Working Papers 2010-018, Banco Central de Reserva del Perú.
       • Javier Pereda, 2011. "Estimación de la tasa natural de interés para Perú: un enfoque financiero," Monetaria, Centro de Estudios Monetarios Latinoamericanos, CEMLA, vol. 0(4), pages 429-459, octubre-d.
    3. Medel, Carlos A., 2014. "A Comparison Between Direct and Indirect Seasonal Adjustment of the Chilean GDP 1986-2009 with X-12-ARIMA," MPRA Paper 57053, University Library of Munich, Germany.
       • Carlos A. Medel, 2018. "A Comparison Between Direct and Indirect Seasonal Adjustment of the Chilean GDP 1986–2009 with X-12-ARIMA," Journal of Business Cycle Research, Springer;Centre for International Research on Economic Tendency Surveys (CIRET), vol. 14(1), pages 47-87, April.
    4. Medel, Carlos A., 2014. "Probabilidad Clásica de Sobreajuste con Criterios de Información: Estimaciones con Series Macroeconómicas Chilenas [Classical Probability of Overfitting with Information Criteria: Estimations with ," MPRA Paper 57401, University Library of Munich, Germany.
       • Carlos A. Medel, 2015. "Probabilidad Clásica de Sobreajuste con Criterios de Información: Estimaciones con Series Macroeconómicas Chilenas," Revista de Analisis Economico – Economic Analysis Review, Universidad Alberto Hurtado/School of Economics and Business, vol. 30(1), pages 57-72, Abril.
       • Carlos Medel, 2014. "Probabilidad Clásica de Sobreajuste con Criterios de Información: Estimaciones con Series Macroeconómicas Chilenas," Working Papers Central Bank of Chile 735, Central Bank of Chile.
    5. Carlos A. Medel Vera, 2011. "¿Akaike o Schwarz? ¿Cuál utilizar para predecir el PIB chileno?," Monetaria, Centro de Estudios Monetarios Latinoamericanos, CEMLA, vol. 0(4), pages 591-615, octubre-d.
    6. Daniel Fernández, 2011. "Suficiencia del capital y previsiones de la banca uruguaya por su exposición al sector industrial," Monetaria, Centro de Estudios Monetarios Latinoamericanos, CEMLA, vol. 0(4), pages 517-589, octubre-d.
    7. Massimiliano Giacalone & Raffaele Mattera & Eugenia Nissi, 2020. "Economic indicators forecasting in presence of seasonal patterns: time series revision and prediction accuracy," Quality & Quantity: International Journal of Methodology, Springer, vol. 54(1), pages 67-84, February.
    8. Tamara Burdisso & Eduardo Ariel Corso, 2011. "Incertidumbre y dolarización de cartera: el caso argentino en el último medio siglo," Monetaria, Centro de Estudios Monetarios Latinoamericanos, CEMLA, vol. 0(4), pages 461-515, octubre-d.

18. Pablo Pincheira & Carlos A. Medel, 2012. "Forecasting Inflation with a Simple and Accurate Benchmark: a Cross-Country Analysis," Working Papers Central Bank of Chile 677, Central Bank of Chile.

    Cited by:

    1. Pablo Pincheira B., 2014. "Predictive Evaluation of Sectoral and Total Employment Based on Entrepreneurial Confidence Indicators," Journal Economía Chilena (The Chilean Economy), Central Bank of Chile, vol. 17(1), pages 66-87, April.
    2. Pablo Pincheira & Carlos Medel, 2012. "Forecasting Inflation With a Random Walk," Working Papers Central Bank of Chile 669, Central Bank of Chile.
    3. Pablo Pincheira & Andrés Gatty, 2014. "Forecasting Chilean Inflation with International Factors," Working Papers Central Bank of Chile 723, Central Bank of Chile.
       • Pablo Pincheira & Andrés Gatty, 2016. "Forecasting Chilean inflation with international factors," Empirical Economics, Springer, vol. 51(3), pages 981-1010, November.
    4. Pablo M. Pincheira & Carlos A. Medel, 2015. "Forecasting Inflation with a Simple and Accurate Benchmark: The Case of the US and a Set of Inflation Targeting Countries," Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, vol. 65(1), pages 2-29, January.

19. Pablo Pincheira & Carlos Medel, 2012. "Forecasting Inflation With a Random Walk," Working Papers Central Bank of Chile 669, Central Bank of Chile.

    Cited by:

    1. Duncan, Roberto & Martínez-García, Enrique, 2019. "New perspectives on forecasting inflation in emerging market economies: An empirical assessment," International Journal of Forecasting, Elsevier, vol. 35(3), pages 1008-1031.
       • Roberto Duncan & Enrique Martinez-Garcia, 2018. "New Perspectives on Forecasting Inflation in Emerging Market Economies: An Empirical Assessment," Globalization Institute Working Papers 338, Federal Reserve Bank of Dallas.
    2. Medel, Carlos A., 2017. "Forecasting Chilean Inflation with the Hybrid New Keynesian Phillips Curve: Globalisation, Combination, and Accuracy," MPRA Paper 78439, University Library of Munich, Germany.
       • Carlos Medel, 2017. "Forecasting Chilean inflation with the hybrid new keynesian Phillips curve: globalisation, combination, and accuracy," Journal Economía Chilena (The Chilean Economy), Central Bank of Chile, vol. 20(3), pages 004-050, December.
       • Carlos Medel, 2016. "Forecasting Chilean Inflation with the Hybrid New Keynesian Phillips Curve: Globalisation, Combination, and Accuracy," Working Papers Central Bank of Chile 791, Central Bank of Chile.
    3. Pablo Pincheira & Carlos A. Medel, 2012. "Forecasting Inflation with a Simple and Accurate Benchmark: a Cross-Country Analysis," Working Papers Central Bank of Chile 677, Central Bank of Chile.
    4. Carlos A. Medel & Pablo M. Pincheira, 2016. "The out-of-sample performance of an exact median-unbiased estimator for the near-unity AR(1) model," Applied Economics Letters, Taylor & Francis Journals, vol. 23(2), pages 126-131, February.
       • Carlos Medel & Pablo Pincheira, 2015. "The Out-of-Sample Performance of An Exact Median-Unbiased Estimator for the Near-Unity Ar(1)Model," Working Papers Central Bank of Chile 768, Central Bank of Chile.
       • Medel, Carlos & Pincheira, Pablo, 2015. "The Out-of-sample Performance of an Exact Median-Unbiased Estimator for the Near-Unity AR(1) Model," MPRA Paper 62552, University Library of Munich, Germany.
    5. Pincheira, Pablo & Selaive, Jorge & Nolazco, Jose Luis, 2016. "The Evasive Predictive Ability of Core Inflation," MPRA Paper 68704, University Library of Munich, Germany.
       • Jose Luis Nolazco & Pablo Pincheira & Jorge Selaive, 2016. "The evasive predictive ability of core inflation," Working Papers 15/34, BBVA Bank, Economic Research Department.
    6. Pablo Pincheira & Andrés Gatty, 2014. "Forecasting Chilean Inflation with International Factors," Working Papers Central Bank of Chile 723, Central Bank of Chile.
       • Pablo Pincheira & Andrés Gatty, 2016. "Forecasting Chilean inflation with international factors," Empirical Economics, Springer, vol. 51(3), pages 981-1010, November.
    7. Medel, Carlos A., 2015. "Forecasting Inflation with the Hybrid New Keynesian Phillips Curve: A Compact-Scale Global VAR Approach," MPRA Paper 67081, University Library of Munich, Germany.
       • Carlos Medel, 2016. "Forecasting Inflation with the Hybrid New Keynesian Phillips Curve: A Compact-Scale Global VAR Approach," Working Papers Central Bank of Chile 785, Central Bank of Chile.
       • Carlos A. Medel, 2018. "Forecasting Inflation with the Hybrid New Keynesian Phillips Curve: A Compact-Scale Global VAR Approach," International Economic Journal, Taylor & Francis Journals, vol. 32(3), pages 331-371, July.
    8. Pablo M. Pincheira & Carlos A. Medel, 2015. "Forecasting Inflation with a Simple and Accurate Benchmark: The Case of the US and a Set of Inflation Targeting Countries," Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, vol. 65(1), pages 2-29, January.

20. Medel, Carlos A., 2011. "The Effects of Global Warming on Fisheries," MPRA Paper 28373, University Library of Munich, Germany.

    Cited by:

    1. Da Rocha, José María & Gutiérrez Huerta, María José & Villasante, Sebastián, 2013. "Economic Effects of Global Warming under Stock Growth Uncertainty: The European Sardine Fishery," DFAEII Working Papers DFAEII;2013-03, University of the Basque Country - Department of Foundations of Economic Analysis II.

21. Marcus Cobb & Gonzalo Echavarría & Pablo Filippi & Macarena García & Carolina Godoy & Wildo González & Carlos Medel & Marcela Urrutia, 2011. "Short-Term GDP Forecasting Using Bridge Models: a Case for Chile," Working Papers Central Bank of Chile 626, Central Bank of Chile.

    Cited by:

    1. Nicolas Chanut & Mario Marcel & Carlos Medel, 2018. "Can Economic Perception Surveys Improve Macroeconomic Forecasting in Chile?," Working Papers Central Bank of Chile 824, Central Bank of Chile.
       • Nicolás Chanut & Mario Marcel C. & Carlos A. Medel V., 2019. "Can economic perception surveys improve macroeconomic forecasting in Chile?," Journal Economía Chilena (The Chilean Economy), Central Bank of Chile, vol. 22(3), pages 034-097, December.
    2. Víctor Riquelme & Gabriela Riveros, 2018. "Un Indicador Contemporáneo de Actividad (ICA) para Chile," Notas de Investigación Journal Economía Chilena (The Chilean Economy), Central Bank of Chile, vol. 21(1), pages 134-149, April.

22. Yan Carrière–Swallow & Carlos Medel, 2011. "Incertidumbre Global sobre la Economía Chilena," Working Papers Central Bank of Chile 647, Central Bank of Chile.
    • Yan Carrière-Swallow & Carlos A. Medel V., 2011. "Incertidumbre Externa sobre la Economía Chilena," Notas de Investigación Journal Economía Chilena (The Chilean Economy), Central Bank of Chile, vol. 14(3), pages 75-82, December.

    Cited by:

    1. Carrière-Swallow, Yan & Medel, Carlos, 2011. "Incertidumbre Global sobre el Pacífico Sur," Working Papers 2011-016, Banco Central de Reserva del Perú.
    2. Carlos A. Medel V., 2018. "Informe Encuesta CEP 2016 ¿Malestar en Chile?. Ricardo González T," Revisión de libros Journal Economía Chilena (The Chilean Economy), Central Bank of Chile, vol. 21(2), pages 154-163, August.
    3. Luis Ceballos S. & Mario González F., 2012. "Indicador de Condiciones Económicas," Notas de Investigación Journal Economía Chilena (The Chilean Economy), Central Bank of Chile, vol. 15(1), pages 105-117, April.
    4. Carrière-Swallow, Yan & Céspedes, Luis Felipe, 2013. "The impact of uncertainty shocks in emerging economies," Journal of International Economics, Elsevier, vol. 90(2), pages 316-325.
       • Yan Carrière–Swallow & Luis Felipe Céspedes, 2011. "The Impact of Uncertainty Shocks in Emerging Economies," Working Papers Central Bank of Chile 646, Central Bank of Chile.

23. Carlos Medel & Marcela Urrutia, 2010. "Proyección Agregada y Desagregada del PIB Chileno con Procedimientos Automatizados de Series de Tiempo," Working Papers Central Bank of Chile 577, Central Bank of Chile.

    Cited by:

    1. Medel, Carlos A., 2012. "How informative are in-sample information criteria to forecasting? the case of Chilean GDP," MPRA Paper 35949, University Library of Munich, Germany.
       • Carlos Medel, 2012. "How Informative are In–Sample Information Criteria to Forecasting? The Case of Chilean GDP," Working Papers Central Bank of Chile 657, Central Bank of Chile.
       • Carlos A. Medel, 2013. "How informative are in-sample information criteria to forecasting? The case of Chilean GDP," Latin American Journal of Economics-formerly Cuadernos de Economía, Instituto de Economía. Pontificia Universidad Católica de Chile., vol. 50(1), pages 133-161, May.

Articles

1. Nicolás Chanut & Mario Marcel C. & Carlos A. Medel V., 2019. "Can economic perception surveys improve macroeconomic forecasting in Chile?," Journal Economía Chilena (The Chilean Economy), Central Bank of Chile, vol. 22(3), pages 034-097, December.
   • Nicolas Chanut & Mario Marcel & Carlos Medel, 2018. "Can Economic Perception Surveys Improve Macroeconomic Forecasting in Chile?," Working Papers Central Bank of Chile 824, Central Bank of Chile.
   See citations under working paper version above.
2. Carlos Medel, 2018. "An econometric analysis on survey-data-based anchoring of inflation expectations in Chile," Notas de Investigación Journal Economía Chilena (The Chilean Economy), Central Bank of Chile, vol. 21(2), pages 128-152, August.
   • Carlos Medel, 2018. "Econometric Analysis on Survey-data-based Anchoring of Inflation Expectations in Chile," Working Papers Central Bank of Chile 825, Central Bank of Chile.
   See citations under working paper version above.
3. Carlos A. Medel, 2018. "Forecasting Inflation with the Hybrid New Keynesian Phillips Curve: A Compact-Scale Global VAR Approach," International Economic Journal, Taylor & Francis Journals, vol. 32(3), pages 331-371, July.
   • Medel, Carlos A., 2015. "Forecasting Inflation with the Hybrid New Keynesian Phillips Curve: A Compact-Scale Global VAR Approach," MPRA Paper 67081, University Library of Munich, Germany.
   • Carlos Medel, 2016. "Forecasting Inflation with the Hybrid New Keynesian Phillips Curve: A Compact-Scale Global VAR Approach," Working Papers Central Bank of Chile 785, Central Bank of Chile.
   See citations under working paper version above.
4. Carlos Medel, 2017. "Forecasting Chilean inflation with the hybrid new keynesian Phillips curve: globalisation, combination, and accuracy," Journal Economía Chilena (The Chilean Economy), Central Bank of Chile, vol. 20(3), pages 004-050, December.
   • Medel, Carlos A., 2017. "Forecasting Chilean Inflation with the Hybrid New Keynesian Phillips Curve: Globalisation, Combination, and Accuracy," MPRA Paper 78439, University Library of Munich, Germany.
   • Carlos Medel, 2016. "Forecasting Chilean Inflation with the Hybrid New Keynesian Phillips Curve: Globalisation, Combination, and Accuracy," Working Papers Central Bank of Chile 791, Central Bank of Chile.
   See citations under working paper version above.
5. Pablo M. Pincheira & Carlos A. Medel, 2016. "Forecasting with a Random Walk," Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, vol. 66(6), pages 539-564, December.

   Cited by:

   1. Medel, Carlos A., 2017. "Forecasting Chilean Inflation with the Hybrid New Keynesian Phillips Curve: Globalisation, Combination, and Accuracy," MPRA Paper 78439, University Library of Munich, Germany.
      • Carlos Medel, 2017. "Forecasting Chilean inflation with the hybrid new keynesian Phillips curve: globalisation, combination, and accuracy," Journal Economía Chilena (The Chilean Economy), Central Bank of Chile, vol. 20(3), pages 004-050, December.
      • Carlos Medel, 2016. "Forecasting Chilean Inflation with the Hybrid New Keynesian Phillips Curve: Globalisation, Combination, and Accuracy," Working Papers Central Bank of Chile 791, Central Bank of Chile.
   2. Carlos Medel, 2021. "Forecasting Brazilian Inflation with the Hybrid New Keynesian Phillips Curve: Assessing the Predictive Role of Trading Partners," Working Papers Central Bank of Chile 900, Central Bank of Chile.

6. Carlos A. Medel, 2016. "Un análisis de la capacidad predictiva del precio del cobre sobre la inflación global," Notas de Investigación Journal Economía Chilena (The Chilean Economy), Central Bank of Chile, vol. 19(2), pages 128-153, August.
   • Carlos Medel, 2016. "Un Análisis de la Capacidad Predictiva del Precio del Cobre sobre la Inflación Global," Working Papers Central Bank of Chile 786, Central Bank of Chile.
   See citations under working paper version above.
7. Carlos A. Medel & Michael Pedersen & Pablo M. Pincheira, 2016. "The Elusive Predictive Ability of Global Inflation," International Finance, Wiley Blackwell, vol. 19(2), pages 120-146, June.
   • Carlos Medel & Michael Pedersen & Pablo Pincheira, 2014. "The Elusive Predictive Ability of Global Inflation," Working Papers Central Bank of Chile 725, Central Bank of Chile.
   See citations under working paper version above.
8. Carlos A. Medel & Pablo M. Pincheira, 2016. "The out-of-sample performance of an exact median-unbiased estimator for the near-unity AR(1) model," Applied Economics Letters, Taylor & Francis Journals, vol. 23(2), pages 126-131, February.
   • Carlos Medel & Pablo Pincheira, 2015. "The Out-of-Sample Performance of An Exact Median-Unbiased Estimator for the Near-Unity Ar(1)Model," Working Papers Central Bank of Chile 768, Central Bank of Chile.
   • Medel, Carlos & Pincheira, Pablo, 2015. "The Out-of-sample Performance of an Exact Median-Unbiased Estimator for the Near-Unity AR(1) Model," MPRA Paper 62552, University Library of Munich, Germany.
   See citations under working paper version above.
9. Pablo M. Pincheira & Carlos A. Medel, 2015. "Forecasting Inflation with a Simple and Accurate Benchmark: The Case of the US and a Set of Inflation Targeting Countries," Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, vol. 65(1), pages 2-29, January.

   Cited by:

   1. Olalude, Gbenga Adelekan & Olayinka, Hammed Abiola & Ankeli, Uchechi Constance, 2020. "Modelling and forecasting inflation rate in Nigeria using ARIMA models," MPRA Paper 105342, University Library of Munich, Germany, revised Dec 2020.
   2. Duncan, Roberto & Martínez-García, Enrique, 2019. "New perspectives on forecasting inflation in emerging market economies: An empirical assessment," International Journal of Forecasting, Elsevier, vol. 35(3), pages 1008-1031.
      • Roberto Duncan & Enrique Martinez-Garcia, 2018. "New Perspectives on Forecasting Inflation in Emerging Market Economies: An Empirical Assessment," Globalization Institute Working Papers 338, Federal Reserve Bank of Dallas.
   3. Pablo M. Pincheira & Carlos A. Medel, 2016. "Forecasting with a Random Walk," Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, vol. 66(6), pages 539-564, December.
   4. Medel, Carlos A., 2017. "Forecasting Chilean Inflation with the Hybrid New Keynesian Phillips Curve: Globalisation, Combination, and Accuracy," MPRA Paper 78439, University Library of Munich, Germany.
      • Carlos Medel, 2017. "Forecasting Chilean inflation with the hybrid new keynesian Phillips curve: globalisation, combination, and accuracy," Journal Economía Chilena (The Chilean Economy), Central Bank of Chile, vol. 20(3), pages 004-050, December.
      • Carlos Medel, 2016. "Forecasting Chilean Inflation with the Hybrid New Keynesian Phillips Curve: Globalisation, Combination, and Accuracy," Working Papers Central Bank of Chile 791, Central Bank of Chile.
   5. Carlos A. Medel & Michael Pedersen & Pablo M. Pincheira, 2016. "The Elusive Predictive Ability of Global Inflation," International Finance, Wiley Blackwell, vol. 19(2), pages 120-146, June.
      • Carlos Medel & Michael Pedersen & Pablo Pincheira, 2014. "The Elusive Predictive Ability of Global Inflation," Working Papers Central Bank of Chile 725, Central Bank of Chile.
   6. Felipe Leal & Carlos Molina & Eduardo Zilberman, 2020. "Proyección de la Inflación en Chile con Métodos de Machine Learning," Working Papers Central Bank of Chile 860, Central Bank of Chile.
   7. Pincheira, Pablo & Selaive, Jorge & Nolazco, Jose Luis, 2016. "The Evasive Predictive Ability of Core Inflation," MPRA Paper 68704, University Library of Munich, Germany.
      • Jose Luis Nolazco & Pablo Pincheira & Jorge Selaive, 2016. "The evasive predictive ability of core inflation," Working Papers 15/34, BBVA Bank, Economic Research Department.
   8. Nyoni, Thabani & Nathaniel, Solomon Prince, 2018. "Modeling rates of inflation in Nigeria: an application of ARMA, ARIMA and GARCH models," MPRA Paper 91351, University Library of Munich, Germany.
   9. Pablo Pincheira & Andrés Gatty, 2014. "Forecasting Chilean Inflation with International Factors," Working Papers Central Bank of Chile 723, Central Bank of Chile.
      • Pablo Pincheira & Andrés Gatty, 2016. "Forecasting Chilean inflation with international factors," Empirical Economics, Springer, vol. 51(3), pages 981-1010, November.
   10. Medel, Carlos A., 2015. "Forecasting Inflation with the Hybrid New Keynesian Phillips Curve: A Compact-Scale Global VAR Approach," MPRA Paper 67081, University Library of Munich, Germany.
       • Carlos Medel, 2016. "Forecasting Inflation with the Hybrid New Keynesian Phillips Curve: A Compact-Scale Global VAR Approach," Working Papers Central Bank of Chile 785, Central Bank of Chile.
       • Carlos A. Medel, 2018. "Forecasting Inflation with the Hybrid New Keynesian Phillips Curve: A Compact-Scale Global VAR Approach," International Economic Journal, Taylor & Francis Journals, vol. 32(3), pages 331-371, July.
   11. Hassani, Hossein & Silva, Emmanuel Sirimal, 2018. "Forecasting UK consumer price inflation using inflation forecasts," Research in Economics, Elsevier, vol. 72(3), pages 367-378.
   12. Pincheira-Brown, Pablo & Selaive, Jorge & Nolazco, Jose Luis, 2019. "Forecasting inflation in Latin America with core measures," International Journal of Forecasting, Elsevier, vol. 35(3), pages 1060-1071.
       • Pincheira, Pablo & Selaive, Jorge & Nolazco, Jose Luis, 2017. "Forecasting Inflation in Latin America with Core Measures," MPRA Paper 80496, University Library of Munich, Germany.
   13. Carlos Medel, 2021. "Forecasting Brazilian Inflation with the Hybrid New Keynesian Phillips Curve: Assessing the Predictive Role of Trading Partners," Working Papers Central Bank of Chile 900, Central Bank of Chile.
   14. Nyoni, Thabani, 2019. "Understanding inflation dynamics in the United States of America (USA): A univariate approach," MPRA Paper 92460, University Library of Munich, Germany.

10. Carlos A. Medel, 2015. "Inflation Dynamics and the Hybrid New Keynesian Phillips Curve: The Case of Chile," Monetaria, Centro de Estudios Monetarios Latinoamericanos, CEMLA, vol. 0(1), pages 25-69, january-j.
    • Medel, Carlos, 2015. "Inflation Dynamics and the Hybrid Neo Keynesian Phillips Curve: The Case of Chile," MPRA Paper 62609, University Library of Munich, Germany.
    • Carlos Medel, 2015. "Inflation Dynamics and the Hybrid Neo Keynesian Phillips Curve: The Case of Chile," Working Papers Central Bank of Chile 769, Central Bank of Chile.
    See citations under working paper version above.
11. Carlos A. Medel, 2015. "Probabilidad Clásica de Sobreajuste con Criterios de Información: Estimaciones con Series Macroeconómicas Chilenas," Revista de Analisis Economico – Economic Analysis Review, Universidad Alberto Hurtado/School of Economics and Business, vol. 30(1), pages 57-72, Abril.
    • Carlos Medel, 2014. "Probabilidad Clásica de Sobreajuste con Criterios de Información: Estimaciones con Series Macroeconómicas Chilenas," Working Papers Central Bank of Chile 735, Central Bank of Chile.
    • Medel, Carlos A., 2014. "Probabilidad Clásica de Sobreajuste con Criterios de Información: Estimaciones con Series Macroeconómicas Chilenas [Classical Probability of Overfitting with Information Criteria: Estimations with ," MPRA Paper 57401, University Library of Munich, Germany.
    See citations under working paper version above.
12. Carlos A. Medel, 2014. "The typical spectral shape of an economic variable: a visual guide," Applied Economics Letters, Taylor & Francis Journals, vol. 21(14), pages 1017-1024, September.

    Cited by:

    1. Sibani, Paolo & Rasmussen, Steen, 2020. "Human wealth evolution: Trends and fluctuations," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 558(C).

13. Carlos A. Medel & Sergio C. Salgado, 2013. "Does the Bic Estimate and Forecast Better than the Aic?," Revista de Analisis Economico – Economic Analysis Review, Universidad Alberto Hurtado/School of Economics and Business, vol. 28(1), pages 47-64, April.
    • Carlos A. Medel & Sergio C. Salgado, 2012. "Does BIC Estimate and Forecast Better Than AIC?," Working Papers Central Bank of Chile 679, Central Bank of Chile.
    • Medel, Carlos A. & Salgado, Sergio C., 2012. "Does BIC Estimate and Forecast Better than AIC?," MPRA Paper 42235, University Library of Munich, Germany.
    See citations under working paper version above.
14. Carlos A. Medel, 2013. "How informative are in-sample information criteria to forecasting? The case of Chilean GDP," Latin American Journal of Economics-formerly Cuadernos de Economía, Instituto de Economía. Pontificia Universidad Católica de Chile., vol. 50(1), pages 133-161, May.
    • Carlos Medel, 2012. "How Informative are In–Sample Information Criteria to Forecasting? The Case of Chilean GDP," Working Papers Central Bank of Chile 657, Central Bank of Chile.
    • Medel, Carlos A., 2012. "How informative are in-sample information criteria to forecasting? the case of Chilean GDP," MPRA Paper 35949, University Library of Munich, Germany.
    See citations under working paper version above.
15. Yan Carrière-Swallow & Carlos A. Medel V., 2011. "Incertidumbre Externa sobre la Economía Chilena," Notas de Investigación Journal Economía Chilena (The Chilean Economy), Central Bank of Chile, vol. 14(3), pages 75-82, December.
    • Yan Carrière–Swallow & Carlos Medel, 2011. "Incertidumbre Global sobre la Economía Chilena," Working Papers Central Bank of Chile 647, Central Bank of Chile.
    See citations under working paper version above.
16. Carlos A. Medel V. & Michael Pedersen, 2010. "Incertidumbre en las Series Desestacionalizadas de Actividad y Demanda en Chile," Notas de Investigación Journal Economía Chilena (The Chilean Economy), Central Bank of Chile, vol. 13(1), pages 63-72, April.

    Cited by:

    1. Carlos J. García & Pablo González M. & Antonio Moncado S., 2013. "Macroeconomic Forecasting in Chile: a Structural Bayesian Approach," Journal Economía Chilena (The Chilean Economy), Central Bank of Chile, vol. 16(1), pages 24-63, April.
    2. Marcus Cobb C. & Carlos A. Medel V., 2010. "Una Estimación del Impacto del Efecto Calendario en Series Desestacionalizadas Chilenas de Actividad y Demanda," Notas de Investigación Journal Economía Chilena (The Chilean Economy), Central Bank of Chile, vol. 13(3), pages 95-103, December.

17. Marcus Cobb C. & Carlos A. Medel V., 2010. "Una Estimación del Impacto del Efecto Calendario en Series Desestacionalizadas Chilenas de Actividad y Demanda," Notas de Investigación Journal Economía Chilena (The Chilean Economy), Central Bank of Chile, vol. 13(3), pages 95-103, December.

    Cited by:

    1. Medel, Carlos A., 2012. "How informative are in-sample information criteria to forecasting? the case of Chilean GDP," MPRA Paper 35949, University Library of Munich, Germany.
       • Carlos Medel, 2012. "How Informative are In–Sample Information Criteria to Forecasting? The Case of Chilean GDP," Working Papers Central Bank of Chile 657, Central Bank of Chile.
       • Carlos A. Medel, 2013. "How informative are in-sample information criteria to forecasting? The case of Chilean GDP," Latin American Journal of Economics-formerly Cuadernos de Economía, Instituto de Economía. Pontificia Universidad Católica de Chile., vol. 50(1), pages 133-161, May.

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NEP Fields

NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 35 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-FOR: Forecasting (24) 2011-06-18 2012-01-25 2012-01-25 2012-02-27 2012-02-27 2012-07-29 2012-09-09 2012-11-11 2013-02-08 2014-05-04 2015-03-13 2015-03-13 2015-07-04 2015-07-25 2015-10-10 2016-02-23 2016-02-29 2016-03-06 2016-06-04 2016-06-09 2016-11-06 2017-04-23 2018-08-27 2021-03-01. Author is listed
2. NEP-MAC: Macroeconomics (19) 2011-06-18 2014-07-28 2014-12-03 2015-03-13 2015-07-04 2015-07-04 2015-07-25 2015-07-25 2015-10-10 2016-03-06 2016-06-09 2016-06-14 2016-11-06 2017-01-01 2017-04-23 2017-07-02 2018-08-27 2018-08-27 2021-03-01. Author is listed
3. NEP-MON: Monetary Economics (11) 2012-07-29 2012-09-09 2014-05-04 2015-03-13 2015-07-04 2015-10-10 2016-06-04 2016-06-09 2016-11-06 2017-04-23 2018-08-27. Author is listed
4. NEP-CBA: Central Banking (9) 2011-06-18 2012-07-29 2014-05-04 2015-07-25 2015-10-10 2016-06-09 2016-11-06 2017-04-23 2018-08-27. Author is listed
5. NEP-ENE: Energy Economics (5) 2011-02-05 2015-07-04 2015-07-25 2016-02-23 2017-07-02. Author is listed
6. NEP-ETS: Econometric Time Series (5) 2012-11-11 2013-02-08 2014-02-15 2015-03-13 2016-02-29. Author is listed
7. NEP-ECM: Econometrics (3) 2012-07-29 2012-11-11 2015-03-13
8. NEP-EEC: European Economics (2) 2015-07-04 2016-06-04
9. NEP-LAM: Central & South America (2) 2015-03-13 2017-01-01
10. NEP-AGR: Agricultural Economics (1) 2011-02-05
11. NEP-ENV: Environmental Economics (1) 2011-02-05
12. NEP-ORE: Operations Research (1) 2012-07-29
13. NEP-PAY: Payment Systems & Financial Technology (1) 2017-08-27
14. NEP-POL: Positive Political Economics (1) 2017-07-02
15. NEP-SOG: Sociology of Economics (1) 2014-02-15

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