IDEAS home Printed from https://ideas.repec.org/r/spr/empeco/v42y2012i3p619-638.html
   My bibliography  Save this item

The role of the log transformation in forecasting economic variables

Citations

Blog mentions

As found by EconAcademics.org, the blog aggregator for Economics research:
  1. Log Transformations & Forecasting
    by Dave Giles in Econometrics Beat: Dave Giles' Blog on 2012-05-23 00:20:00

Citations

Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
as


Cited by:

  1. Roxana Halbleib & Valerie Voev, 2011. "Forecasting Covariance Matrices: A Mixed Frequency Approach," Working Papers ECARES ECARES 2011-002, ULB -- Universite Libre de Bruxelles.
  2. Alan T. K. Wan & Shangyu Xie & Yong Zhou, 2017. "A varying coefficient approach to estimating hedonic housing price functions and their quantiles," Journal of Applied Statistics, Taylor & Francis Journals, vol. 44(11), pages 1979-1999, August.
  3. Bårdsen, Gunnar & Lütkepohl, Helmut, 2011. "Forecasting levels of log variables in vector autoregressions," International Journal of Forecasting, Elsevier, vol. 27(4), pages 1108-1115, October.
  4. Proietti, Tommaso & Lütkepohl, Helmut, 2013. "Does the Box–Cox transformation help in forecasting macroeconomic time series?," International Journal of Forecasting, Elsevier, vol. 29(1), pages 88-99.
  5. Xiaojie Xu, 2017. "Short-run price forecast performance of individual and composite models for 496 corn cash markets," Journal of Applied Statistics, Taylor & Francis Journals, vol. 44(14), pages 2593-2620, October.
  6. Tuhkuri, Joonas, 2016. "ETLAnow: A Model for Forecasting with Big Data – Forecasting Unemployment with Google Searches in Europe," ETLA Reports 54, The Research Institute of the Finnish Economy.
  7. Donal Smith, 2016. "The International Impact of Financial Shocks: A Global VAR and Connectedness Measures Approach," Discussion Papers 16/07, Department of Economics, University of York.
  8. Berrisch, Jonathan & Pappert, Sven & Ziel, Florian & Arsova, Antonia, 2023. "Modeling volatility and dependence of European carbon and energy prices," Finance Research Letters, Elsevier, vol. 52(C).
  9. Festic, Mejra & Kavkler, Alenka & Repina, Sebastijan, 2011. "The macroeconomic sources of systemic risk in the banking sectors of five new EU member states," Journal of Banking & Finance, Elsevier, vol. 35(2), pages 310-322, February.
  10. Lorena Cakerri & Oltiana Muharremi & Filloreta Madani, 2020. "An Empirical Study in Albania of Foreign Direct Investments and Economic Growth Relationship," International Journal of Economics and Financial Issues, Econjournals, vol. 10(2), pages 193-202.
  11. Mejra Festić, 2011. "The role of the foreign banks in the 5 EU member states," Journal of Business Economics and Management, Taylor & Francis Journals, vol. 13(1), pages 189-206, June.
  12. Danilson Varela & Filipa Monteiro & Patrícia Vidigal & Luís Silva & Maria M. Romeiras, 2020. "Mechanisms Implemented for the Sustainable Development of Agriculture: An Overview of Cabo Verde Performance," Sustainability, MDPI, vol. 12(14), pages 1-19, July.
  13. Ji, In Bae & Chung, Chanjin, 2012. "Causality Between Captive Supplies and Cash Market Prices in the U.S. Cattle Procurement Market," Agricultural and Resource Economics Review, Northeastern Agricultural and Resource Economics Association, vol. 41(3), pages 1-11, December.
  14. Taylor, Nick, 2017. "Realised variance forecasting under Box-Cox transformations," International Journal of Forecasting, Elsevier, vol. 33(4), pages 770-785.
  15. Ioannis Chatziantoniou & Stavros Degiannakis & Bruno Eeckels & George Filis, 2016. "Forecasting tourist arrivals using origin country macroeconomics," Applied Economics, Taylor & Francis Journals, vol. 48(27), pages 2571-2585, June.
  16. Rossen Anja, 2016. "On the Predictive Content of Nonlinear Transformations of Lagged Autoregression Residuals and Time Series Observations," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 236(3), pages 389-409, May.
  17. Helmut Lütkepohl, 2010. "Forecasting Aggregated Time Series Variables: A Survey," OECD Journal: Journal of Business Cycle Measurement and Analysis, OECD Publishing, Centre for International Research on Economic Tendency Surveys, vol. 2010(2), pages 1-26.
  18. Luo, Bin & Gao, Xiaoli, 2022. "High-dimensional robust approximated M-estimators for mean regression with asymmetric data," Journal of Multivariate Analysis, Elsevier, vol. 192(C).
  19. Margaret E. Slade, 2022. "Many losers and a few winners: The impact of COVID‐19 on Canadian industries and regions," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 55(S1), pages 282-307, February.
  20. Wu, Rongxin & Lin, Boqiang, 2021. "Does industrial agglomeration improve effective energy service: An empirical study of China’s iron and steel industry," Applied Energy, Elsevier, vol. 295(C).
  21. Xu Xiaojie, 2018. "Using Local Information to Improve Short-Run Corn Price Forecasts," Journal of Agricultural & Food Industrial Organization, De Gruyter, vol. 16(1), pages 1-15, January.
  22. Festic, Mejra & Kavkler, Alenka, 2012. "The Roots of the Banking Crisis in the New EU Member States: A Panel Regression Approach," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(1), pages 20-40, March.
  23. Axelsson, Birger & Song, Han-Suck, 2023. "Univariate Forecasting for REITs with Deep Learning: A Comparative Analysis with an ARIMA Model," Working Paper Series 23/10, Royal Institute of Technology, Department of Real Estate and Construction Management & Banking and Finance, revised 14 Nov 2023.
  24. Ayesha Serfraz, 2018. "Analyzing Short-Run and Long-Run Causality between FDI Inflows, Labor Productivity and Education in Pakistan," Asian Journal of Economics and Empirical Research, Asian Online Journal Publishing Group, vol. 5(1), pages 36-59.
  25. Kresova, Svetlana & Hess, Sebastian, 2021. "Determinants of Regional Raw Milk Prices in Russia," 2021 Conference, August 17-31, 2021, Virtual 315064, International Association of Agricultural Economists.
  26. Cees Diks & Cars Hommes & Juanxi Wang, 2019. "Critical slowing down as an early warning signal for financial crises?," Empirical Economics, Springer, vol. 57(4), pages 1201-1228, October.
  27. Kriechbaumer, Thomas & Angus, Andrew & Parsons, David & Rivas Casado, Monica, 2014. "An improved wavelet–ARIMA approach for forecasting metal prices," Resources Policy, Elsevier, vol. 39(C), pages 32-41.
  28. Avishek Khanal & Mohammad Mafizur Rahman & Rasheda Khanam & Eswaran Velayutham, 2021. "Are Tourism and Energy Consumption Linked? Evidence from Australia," Sustainability, MDPI, vol. 13(19), pages 1-20, September.
  29. Moneta, Alessio & Pallante, Gianluca, 2022. "Identification of Structural VAR Models via Independent Component Analysis: A Performance Evaluation Study," Journal of Economic Dynamics and Control, Elsevier, vol. 144(C).
  30. Marcio Genovevo da Costa & Nils Donner, 2016. "Cointegration between Equity- and Agricultural Markets: Implications for Portfolio Diversification," Journal of Management and Sustainability, Canadian Center of Science and Education, vol. 6(1), pages 24-44, March.
  31. Rickels, Wilfried & Quaas, Martin F. & Ricke, Katharine & Quaas, Johannes & Moreno-Cruz, Juan & Smulders, Sjak, 2020. "Who turns the global thermostat and by how much?," Energy Economics, Elsevier, vol. 91(C).
  32. Mayr, Johannes & Ulbricht, Dirk, 2015. "Log versus level in VAR forecasting: 42 million empirical answers—Expect the unexpected," Economics Letters, Elsevier, vol. 126(C), pages 40-42.
  33. Grosche, Stephanie & Heckelei, Thomas, 2014. "Directional Volatility Spillovers between Agricultural, Crude Oil, Real Estate and other Financial Markets," Discussion Papers 166079, University of Bonn, Institute for Food and Resource Economics.
  34. Radovan Parrák, 2013. "The Economic Valuation of Variance Forecasts: An Artificial Option Market Approach," Working Papers IES 2013/09, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, revised Aug 2013.
  35. Mariana Kaneva, 2019. "Broadband and e-Commerce in the Balkans - Econometric Analysis," Izvestia Journal of the Union of Scientists - Varna. Economic Sciences Series, Union of Scientists - Varna, Economic Sciences Section, vol. 8(2), pages 100-109, August.
  36. Xiaojie Xu, 2020. "Corn Cash Price Forecasting," American Journal of Agricultural Economics, John Wiley & Sons, vol. 102(4), pages 1297-1320, August.
  37. Bleher, Johannes & Dimpfl, Thomas, 2019. "Today I got a million, tomorrow, I don't know: On the predictability of cryptocurrencies by means of Google search volume," International Review of Financial Analysis, Elsevier, vol. 63(C), pages 147-159.
  38. Jalan, Akanksha & Matkovskyy, Roman & Urquhart, Andrew, 2022. "Demand elasticities of Bitcoin and Ethereum," Economics Letters, Elsevier, vol. 220(C).
  39. Tuhkuri, Joonas, 2016. "Forecasting Unemployment with Google Searches," ETLA Working Papers 35, The Research Institute of the Finnish Economy.
  40. Helmut Lütkepohl & Fang Xu, 2012. "The role of the log transformation in forecasting economic variables," Empirical Economics, Springer, vol. 42(3), pages 619-638, June.
  41. Mejra Festić, 2015. "The Stability of the Credit Supply in the Globalized Banking Sector Environment: The Case of the EU New Member States-10," Prague Economic Papers, Prague University of Economics and Business, vol. 2015(4), pages 386-398.
  42. Pontes, Laíse da Silveira & Porfírio-da-Silva, Vanderley & Moletta, José Luiz & Telles, Tiago Santos, 2021. "Long-term profitability of crop-livestock systems, with and without trees," Agricultural Systems, Elsevier, vol. 192(C).
  43. Kresova, Svetlana & Hess, Sebastian, 2021. "Determinants of Regional Raw Milk Prices in Russia," 61st Annual Conference, Berlin, Germany, September 22-24, 2021 317051, German Association of Agricultural Economists (GEWISOLA).
  44. Jose Juan Caceres-Hernandez & Gloria Martin-Rodriguez & Jonay Hernandez-Martin, 2022. "A proposal for measuring and comparing seasonal variations in hourly economic time series," Empirical Economics, Springer, vol. 62(4), pages 1995-2021, April.
  45. Roxana Halbleib & Valeri Voev, 2016. "Forecasting Covariance Matrices: A Mixed Approach," Journal of Financial Econometrics, Oxford University Press, vol. 14(2), pages 383-417.
  46. Ekinci, Aykut, 2021. "Modelling and forecasting of growth rate of new COVID-19 cases in top nine affected countries: Considering conditional variance and asymmetric effect," Chaos, Solitons & Fractals, Elsevier, vol. 151(C).
  47. Heidland, Tobias & Jannsen, Nils & Groll, Dominik & Kalweit, René & Boockmann, Bernhard, 2021. "Analyse und Prognose von Migrationsbewegungen," Kieler Beiträge zur Wirtschaftspolitik 34, Kiel Institute for the World Economy (IfW Kiel).
  48. Mosheim, Roberto, 2012. "A Quarterly Econometric Model for Short-Term Forecasting of the U.S. Dairy Industry," Technical Bulletins 184305, United States Department of Agriculture, Economic Research Service.
  49. Dar, Javaid & Asif, Mohammad, 2023. "Environmental feasibility of a gradual shift from fossil fuels to renewable energy in India: Evidence from multiple structural breaks cointegration," Renewable Energy, Elsevier, vol. 202(C), pages 589-601.
  50. Xiaojie Xu, 2018. "Cointegration and price discovery in US corn cash and futures markets," Empirical Economics, Springer, vol. 55(4), pages 1889-1923, December.
  51. Demetrescu, Matei & Golosnoy, Vasyl & Titova, Anna, 2020. "Bias corrections for exponentially transformed forecasts: Are they worth the effort?," International Journal of Forecasting, Elsevier, vol. 36(3), pages 761-780.
  52. Cheick Kader M’baye, 2023. "Fertility, employment, and the demographic dividend in sub-Saharan African countries with incipient demographic transition: evidence from Mali," Journal of Population Research, Springer, vol. 40(2), pages 1-15, June.
  53. Nemanja Deretić & Dragan Stanimirović & Mohammed Al Awadh & Nikola Vujanović & Aleksandar Djukić, 2022. "SARIMA Modelling Approach for Forecasting of Traffic Accidents," Sustainability, MDPI, vol. 14(8), pages 1-18, April.
  54. Qingyun Tang & Ke Gong & Li Xiong & Yuanxiang Dong & Wei Xu, 2022. "Can El Niño–Southern Oscillation Increase Respiratory Infectious Diseases in China? An Empirical Study of 31 Provinces," IJERPH, MDPI, vol. 19(5), pages 1-17, March.
  55. Damen, Sven & Vastmans, Frank & Buyst, Erik, 2016. "The effect of mortgage interest deduction and mortgage characteristics on house prices," Journal of Housing Economics, Elsevier, vol. 34(C), pages 15-29.
IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.