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An Introduction to State Space Time Series Analysis

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Cited by:

  1. Siem Jan Koopman & Kai Ming Lee, 2009. "Seasonality with trend and cycle interactions in unobserved components models," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 58(4), pages 427-448, September.
  2. Füss, Roland & Zietz, Joachim, 2016. "The economic drivers of differences in house price inflation rates across MSAs," Journal of Housing Economics, Elsevier, vol. 31(C), pages 35-53.
  3. Jeyhun I. Mikayilov & Shahriyar Mukhtarov & Jeyhun Mammadov, 2020. "Gasoline Demand Elasticities at the Backdrop of Lower Oil Prices: Fuel-Subsidizing Country Case," Energies, MDPI, vol. 13(24), pages 1-18, December.
  4. Augustus J. Panton, 2020. "Climate hysteresis and monetary policy," CAMA Working Papers 2020-76, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
  5. Alexander Vlasenko & Nataliia Vlasenko & Olena Vynokurova & Dmytro Peleshko, 2018. "A Novel Neuro-Fuzzy Model for Multivariate Time-Series Prediction," Data, MDPI, vol. 3(4), pages 1-14, December.
  6. Tsyplakov, Alexander, 2010. "Revealing the arcane: an introduction to the art of stochastic volatility models," MPRA Paper 25511, University Library of Munich, Germany.
  7. Michael Jacobs, 2019. "An Analysis of the Impact of Modeling Assumptions in the Current Expected Credit Loss (CECL) Framework on the Provisioning for Credit Loss," Journal of Risk & Control, Risk Market Journals, vol. 6(1), pages 65-112.
  8. Nikolaus Bartzsch & Marco Brandi & Lucas Devigne & Raymond de Pastor & Gianluca Maddaloni & Diana Posada Restrepo & Gabriele Sene, 2023. "Forecasting banknote circulation during the COVID-19 pandemic using structural time series models," Questioni di Economia e Finanza (Occasional Papers) 771, Bank of Italy, Economic Research and International Relations Area.
  9. repec:jss:jstsof:41:i08 is not listed on IDEAS
  10. Cain, P.M., 2022. "Modelling short-and long-term marketing effects in the consumer purchase journey," International Journal of Research in Marketing, Elsevier, vol. 39(1), pages 96-116.
  11. Alptekin, Aynur & Broadstock, David C. & Chen, Xiaoqi & Wang, Dong, 2019. "Time-varying parameter energy demand functions: Benchmarking state-space methods against rolling-regressions," Energy Economics, Elsevier, vol. 82(C), pages 26-41.
  12. Charles Ka Yui Leung & Joe Cho Yiu Ng & Edward Tang, 2020. "Why is the Hong Kong Housing Market Unaffordable? Some Stylized Facts and Estimations," Globalization Institute Working Papers 380, Federal Reserve Bank of Dallas.
  13. Shahriyar Mukhtarov & Jeyhun I. Mikayilov & Sugra Humbatova & Vugar Muradov, 2020. "Do High Oil Prices Obstruct the Transition to Renewable Energy Consumption?," Sustainability, MDPI, vol. 12(11), pages 1-16, June.
  14. Seong, Byeongchan & Lee, Kiseop, 2021. "Intervention analysis based on exponential smoothing methods: Applications to 9/11 and COVID-19 effects," Economic Modelling, Elsevier, vol. 98(C), pages 290-301.
  15. Müller-Plantenberg, Nikolas, 2012. "Balance of payments flows and exchange rate prediction in Japan," Working Papers in Economic Theory 2012/09, Universidad Autónoma de Madrid (Spain), Department of Economic Analysis (Economic Theory and Economic History).
  16. Seong, Byeongchan, 2020. "Smoothing and forecasting mixed-frequency time series with vector exponential smoothing models," Economic Modelling, Elsevier, vol. 91(C), pages 463-468.
  17. Hammad Mahmoud A. & Jereb Borut & Rosi Bojan & Dragan Dejan, 2020. "Methods and Models for Electric Load Forecasting: A Comprehensive Review," Logistics, Supply Chain, Sustainability and Global Challenges, Sciendo, vol. 11(1), pages 51-76, February.
  18. Anari, Ali & Kolari, James, 2019. "The Fisher puzzle, real rate anomaly, and Wicksell effect," Journal of Empirical Finance, Elsevier, vol. 52(C), pages 128-148.
  19. Song, Haiyan & Li, Gang & Witt, Stephen F. & Athanasopoulos, George, 2011. "Forecasting tourist arrivals using time-varying parameter structural time series models," International Journal of Forecasting, Elsevier, vol. 27(3), pages 855-869.
  20. Michael Jacobs, 2016. "Stress Testing and a Comparison of Alternative Methodologies for Scenario Generation," Journal of Applied Finance & Banking, SCIENPRESS Ltd, vol. 6(6), pages 1-7.
  21. Commandeur, Jacques J. F. & Koopman, Siem Jan & Ooms, Marius, 2011. "Statistical Software for State Space Methods," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 41(i01).
  22. Xiaoshan Chen & Terence Mills, 2012. "Measuring the Euro area output gap using a multivariate unobserved components model containing phase shifts," Empirical Economics, Springer, vol. 43(2), pages 671-692, October.
  23. Dilaver, Zafer & Hunt, Lester C., 2011. "Industrial electricity demand for Turkey: A structural time series analysis," Energy Economics, Elsevier, vol. 33(3), pages 426-436, May.
  24. Feng Xu & Mohamad Sepehri & Jian Hua & Sergey Ivanov & Julius N. Anyu, 2018. "Time-Series Forecasting Models for Gasoline Prices in China," International Journal of Economics and Finance, Canadian Center of Science and Education, vol. 10(12), pages 1-43, December.
  25. Veenstra, Joost, 2015. "Output growth in German manufacturing, 1907–1936. A reinterpretation of time-series evidence," Explorations in Economic History, Elsevier, vol. 57(C), pages 38-49.
  26. AKINYEMI, Emmanuel K & OGUNLEYE, Abiodun O & GUNSOLA, Obaseye A & Olaoye, Hakeem O, 2021. "Modelling Theft Criminal Offence in Kwara State Using ARIMA," International Journal of Research and Scientific Innovation, International Journal of Research and Scientific Innovation (IJRSI), vol. 8(4), pages 177-182, April.
  27. Eugenio-Martin, Juan Luis & Perez-Granja, Ubay, 2022. "Quantifying the net impact and redistribution effects of airlines’ exits on passenger traffic," Journal of Air Transport Management, Elsevier, vol. 101(C).
  28. Karanfil, Fatih & Yeddir-Tamsamani, Yasser, 2010. "Is technological change biased toward energy? A multi-sectoral analysis for the French economy," Energy Policy, Elsevier, vol. 38(4), pages 1842-1850, April.
  29. Petar Sorić, 2022. "Ability to consume versus willingness to consume: the role of nonlinearities," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 49(3), pages 663-689, August.
  30. Fei Gu & Kristopher J. Preacher & Emilio Ferrer, 2014. "A State Space Modeling Approach to Mediation Analysis," Journal of Educational and Behavioral Statistics, , vol. 39(2), pages 117-143, April.
  31. Albulene Kastrati & Geoff Pugh & Valentin Toci, 2017. "Output Gap In Transition Economies Using Unobserved Component Method: The Case Of Czech Republic, Estonia And Kosovo," Economic Thought and Practice, Department of Economics and Business, University of Dubrovnik, vol. 26(2), pages 477-500, december.
  32. John M. Nunley & Joachim Zietz, 2012. "The Long-Run Impact of Age Demographics on the U.S. Divorce Rate," The American Economist, Sage Publications, vol. 57(1), pages 65-77, May.
  33. Elisa Jorge-González & Enrique González-Dávila & Raquel Martín-Rivero & Domingo Lorenzo-Díaz, 2020. "Univariate and multivariate forecasting of tourism demand using state-space models," Tourism Economics, , vol. 26(4), pages 598-621, June.
  34. Doan, Thomas, 2011. "State Space Methods in RATS," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 41(i09).
  35. Carlos David Ardila-Dueñas & Hernán Rincón-Castro, 2019. "¿Cómo y qué tanto impacta la deuda pública a las tasas de interés de mercado?," Borradores de Economia 1077, Banco de la Republica de Colombia.
  36. Bergmann, Dennis & O’Connor, Declan & Thümmel, Andreas, 2013. "A decomposition analysis of the EU farm gate milk price," 87th Annual Conference, April 8-10, 2013, Warwick University, Coventry, UK 158702, Agricultural Economics Society.
  37. repec:jss:jstsof:41:i09 is not listed on IDEAS
  38. Vujić Sunčica & Koopman Siem Jan & Commandeur J.F., 2012. "Economic Trends and Cycles in Crime: A Study for England and Wales," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 232(6), pages 652-677, December.
  39. Paolo Agnolucci & Vincenzo De Lipsis, 2020. "Long-run trend in agricultural yield and climatic factors in Europe," Climatic Change, Springer, vol. 159(3), pages 385-405, April.
  40. Inkyu Kang, 2023. "How does technology‐based monitoring affect street‐level bureaucrats' behavior? An analysis of body‐worn cameras and police actions," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 42(4), pages 971-991, September.
  41. Guglielmo Maria Caporale & Abdurrahman Nazif Catik & Gül Serife Huyugüzel Kisla & Mohamad Husam Helmi & Coskun Akdeniz, 2021. "Oil Prices, Exchange Rates and Sectoral Stock Returns in the BRICS-T Countries: A Time-Varying Approach," CESifo Working Paper Series 9322, CESifo.
  42. Paradiso, Antonio & Rao, B. Bhaskara, 2012. "Flattening of the Phillips curve and the role of the oil price: An unobserved component model for the USA and Australia," Economics Letters, Elsevier, vol. 117(1), pages 259-262.
  43. Alexander Tsyplakov, 2011. "An introduction to state space modeling (in Russian)," Quantile, Quantile, issue 9, pages 1-24, July.
  44. Rueda, Cristina & Rodríguez, Pilar, 2010. "State space models for estimating and forecasting fertility," International Journal of Forecasting, Elsevier, vol. 26(4), pages 712-724, October.
  45. Markmann, Holger & Zietz, Joachim, 2017. "Determining the effectiveness of the Eurosystem’s Covered Bond Purchase Programs on secondary markets," The Quarterly Review of Economics and Finance, Elsevier, vol. 66(C), pages 314-327.
  46. Michael Jacobs, 2020. "A Holistic Model Validation Framework for Current Expected Credit Loss (CECL) Model Development and Implementation," IJFS, MDPI, vol. 8(2), pages 1-36, May.
  47. Vujić, Sunčica & Commandeur, Jacques J.F. & Koopman, Siem Jan, 2016. "Intervention time series analysis of crime rates: The case of sentence reform in Virginia," Economic Modelling, Elsevier, vol. 57(C), pages 311-323.
  48. Reusens Peter & Croux Christophe, 2017. "Detecting time variation in the price puzzle: a less informative prior choice for time varying parameter VAR models," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 21(4), pages 1-18, September.
  49. Chai, Jian & Xing, Li-Min & Zhou, Xiao-Yang & Zhang, Zhe George & Li, Jie-Xun, 2018. "Forecasting the WTI crude oil price by a hybrid-refined method," Energy Economics, Elsevier, vol. 71(C), pages 114-127.
  50. Martyna Marczak & Thomas Beissinger, 2013. "Real wages and the business cycle in Germany," Empirical Economics, Springer, vol. 44(2), pages 469-490, April.
  51. Inchauspe, Julian & Ripple, Ronald D. & Trück, Stefan, 2015. "The dynamics of returns on renewable energy companies: A state-space approach," Energy Economics, Elsevier, vol. 48(C), pages 325-335.
  52. Ronald Stegen & L. Koren & Peter Harteloh & Jan Kardaun & Fanny Janssen, 2014. "A Novel Time Series Approach to Bridge Coding Changes with a Consistent Solution Across Causes of Death," European Journal of Population, Springer;European Association for Population Studies, vol. 30(3), pages 317-335, August.
  53. Schütz, Peter & Westgaard, Sjur, 2018. "Optimal hedging strategies for salmon producers," Journal of Commodity Markets, Elsevier, vol. 12(C), pages 60-70.
  54. Edilean Silva Bejarano Aragón & Gabriela Medeiros, 2015. "Monetary policy in Brazil: evidence of a reaction function with time-varying parameters and endogenous regressors," Empirical Economics, Springer, vol. 48(2), pages 557-575, March.
  55. Zietz, Joachim & Traian, Anca, 2014. "When was the U.S. housing downturn predictable? A comparison of univariate forecasting methods," The Quarterly Review of Economics and Finance, Elsevier, vol. 54(2), pages 271-281.
  56. Pires, Manoel Carlos de Castro & Rocha, Bruno & Goto, Fábio, 2010. "Fiscal policy in times of crisis: macroeconomic effects of the primary surplus," Revista CEPAL, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL), December.
  57. Chen, Xiaoshan & MacDonald, Ronald, 2014. "Measuring the Euro-Dollar Permanent Equilibrium Exchange Rate using the Unobserved Components Model," SIRE Discussion Papers 2015-05, Scottish Institute for Research in Economics (SIRE).
  58. Andrew Evans, 2018. "Okun coefficients and participation coefficients by age and gender," IZA Journal of Labor Economics, Springer;Forschungsinstitut zur Zukunft der Arbeit GmbH (IZA), vol. 7(1), pages 1-22, December.
  59. Chang, Yu Sang, 2014. "Comparative analysis of long-term road fatality targets for individual states in the US—An application of experience curve models," Transport Policy, Elsevier, vol. 36(C), pages 53-69.
  60. Alexander Tsyplakov, 2010. "Revealing the arcane: an introduction to the art of stochastic volatility models (in Russian)," Quantile, Quantile, issue 8, pages 69-122, July.
  61. Hanxiong Zhang & Robert Hudson & Hugh Metcalf & Viktor Manahov, 2017. "Investigation of institutional changes in the UK housing market using structural break tests and time-varying parameter models," Empirical Economics, Springer, vol. 53(2), pages 617-640, September.
  62. Pelagatti, Matteo M., 2011. "State Space Methods in Ox/SsfPack," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 41(i03).
  63. Andrew E. Evans, 2020. "Average labour productivity dynamics over the business cycle," Empirical Economics, Springer, vol. 59(4), pages 1833-1863, October.
  64. Suncica Vujic & Jacques Commandeur & Siem Jan Koopman, 2012. "Structural Intervention Time Series Analysis of Crime Rates: The Impact of Sentence Reform in Virginia," Tinbergen Institute Discussion Papers 12-007/4, Tinbergen Institute.
  65. Filippo Gusella & Giorgio Ricchiuti, 2021. "State Space Model to Detect Cycles in Heterogeneous Agents Models," Working Papers - Economics wp2021_10.rdf, Universita' degli Studi di Firenze, Dipartimento di Scienze per l'Economia e l'Impresa.
  66. Keita Honjo & Hiroto Shiraki & Shuichi Ashina, 2018. "Dynamic linear modeling of monthly electricity demand in Japan: Time variation of electricity conservation effect," PLOS ONE, Public Library of Science, vol. 13(4), pages 1-23, April.
  67. Irma Hindrayanto & Jan Jacobs & Denise Osborn, 2014. "On trend-cycle-seasonal interactions," DNB Working Papers 417, Netherlands Central Bank, Research Department.
  68. Nils Droste & Claudia Becker & Irene Ring & Rui Santos, 2018. "Decentralization Effects in Ecological Fiscal Transfers: A Bayesian Structural Time Series Analysis for Portugal," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 71(4), pages 1027-1051, December.
  69. repec:jss:jstsof:41:i01 is not listed on IDEAS
  70. Moonam, Hasan M. & Qin, Xiao & Zhang, Jun, 2019. "Utilizing data mining techniques to predict expected freeway travel time from experienced travel time," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 155(C), pages 154-167.
  71. Ferrara, L. & Koopman, S J., 2010. "Common business and housing market cycles in the Euro area from a multivariate decomposition," Working papers 275, Banque de France.
  72. Sergio Contreras-Espinoza & Francisco Novoa-Muñoz & Szabolcs Blazsek & Pedro Vidal & Christian Caamaño-Carrillo, 2022. "COVID-19 Active Case Forecasts in Latin American Countries Using Score-Driven Models," Mathematics, MDPI, vol. 11(1), pages 1-17, December.
  73. Ivana Lolic & Petar Soric & Mirjana Cizmesija, 2017. "Disentangling the Relationship between News Media and Consumers' Inflation Sentiment: the Case of Croatia," Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, vol. 67(3), pages 221-249, June.
  74. Seok, Juheon & Brorsen, B. Wade & Li, Weiping, 2013. "Calendar Spread Options for Storable Commodities," 2013 Annual Meeting, August 4-6, 2013, Washington, D.C. 150294, Agricultural and Applied Economics Association.
  75. Filippo Gusella, 2019. "Modelling Minskyan financial cycles with fundamentalist and extrapolative price strategies: An empirical analysis via the Kalman filter approach," Working Papers - Economics wp2019_24.rdf, Universita' degli Studi di Firenze, Dipartimento di Scienze per l'Economia e l'Impresa.
  76. Petar Sorić, 2018. "Consumer confidence as a GDP determinant in New EU Member States: a view from a time-varying perspective," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 45(2), pages 261-282, May.
  77. Margaret R Donald & Kerrie L Mengersen & Rick R Young, 2015. "A Four Dimensional Spatio-Temporal Analysis of an Agricultural Dataset," PLOS ONE, Public Library of Science, vol. 10(10), pages 1-22, October.
  78. Giovanni Angelini & Giuseppe Cavaliere & Luca Fanelli, 2022. "Bootstrap inference and diagnostics in state space models: With applications to dynamic macro models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 37(1), pages 3-22, January.
  79. John M. Nunley & Richard Alan Seals Jr. & Joachim Zietz, 2011. "The Impact of Macroeconomic Conditions on Property Crime," Auburn Economics Working Paper Series auwp2011-06, Department of Economics, Auburn University.
  80. Carlos Carrasco & Jesus Ferreiro, 2013. "Inflation targeting in Mexico," Journal of Post Keynesian Economics, Taylor & Francis Journals, vol. 35(3), pages 341-372.
  81. Cesar R. Van Der Laan & Marcos Tadeu C. Lélis & André Moreira Cunha, 2016. "External Capital Flows’ Management In The Great Recession: The Brazilian Experience (2007-2013)," Anais do XLII Encontro Nacional de Economia [Proceedings of the 42nd Brazilian Economics Meeting] 035, ANPEC - Associação Nacional dos Centros de Pós-Graduação em Economia [Brazilian Association of Graduate Programs in Economics].
  82. Maria C Mariani & Md Al Masum Bhuiyan & Osei K Tweneboah & Hector Gonzalez-Huizar & Ionut Florescu, 2019. "Volatility Models Applied to Geophysics and High Frequency Financial Market Data," Papers 1901.09145, arXiv.org.
  83. Orair, Rodrigo Octávio & Silva, Wesley de Jesus, 2013. "Subnational Government Investment in Brazil: Estimation and Analysis by State Space Models," Brazilian Review of Econometrics, Sociedade Brasileira de Econometria - SBE, vol. 33(1), September.
  84. João Lourenço Marques & Eduardo Anselmo Castro & Arnab Bhattacharjee, 2012. "Methods and models of analysis in the urban housing market," Chapters, in: Roberta Capello & Tomaz Ponce Dentinho (ed.), Networks, Space and Competitiveness, chapter 7, pages 149-180, Edward Elgar Publishing.
  85. Paul G. Egan & Anthony J. Leddin, 2016. "Examining Monetary Policy Transmission in the People's Republic of China–Structural Change Models with a Monetary Policy Index," Asian Development Review, MIT Press, vol. 33(1), pages 74-110, March.
  86. Wei Kang & David Penn & Joachim Zietz, 2015. "The response of state employment to oil price volatility," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 39(3), pages 478-500, July.
  87. Peter Dreuw, 2023. "Structural time series models and synthetic controls—assessing the impact of the euro adoption," Empirical Economics, Springer, vol. 64(2), pages 681-725, February.
  88. Van den Bossche, Filip A. M., 2011. "Fitting State Space Models with EViews," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 41(i08).
  89. repec:jss:jstsof:41:i03 is not listed on IDEAS
  90. Miller, Tom W. & Sabbarese, Donald, 2012. "An Economic Indicator for the State of the Economy in the Southeastern U.S," Journal of Regional Analysis and Policy, Mid-Continent Regional Science Association, vol. 42(1), pages 1-27.
  91. Chen, Xiaoshan & MacDonald, Ronald, 2014. "Measuring the Euro-Dollar Permanent Equilibrium Exchange Rate using the Unobserved Components Model," 2007 Annual Meeting, July 29-August 1, 2007, Portland, Oregon TN 2015-05, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
  92. Donadelli, M. & Paradiso, A. & Livieri, G., 2019. "Adding cycles into the neoclassical growth model," Economic Modelling, Elsevier, vol. 78(C), pages 162-171.
  93. Begüm Yurteri Kösedağlı & Gül Huyugüzel Kışla & A. Nazif Çatık, 2021. "The time-varying effects of oil prices on oil–gas stock returns of the fragile five countries," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 7(1), pages 1-22, December.
  94. Manuel Gonzalez-Astudillo & Rakeen Tanvir, 2023. "Hawkish or Dovish Fed? Estimating a Time-Varying Reaction Function of the Federal Open Market Committee's Median Participant," Finance and Economics Discussion Series 2023-070, Board of Governors of the Federal Reserve System (U.S.).
  95. Neil Dias Karunaratne, 2013. "The mining boom, productivity conundrum and monetary policy design to combat resource curse effects in Australia," Discussion Papers Series 504, School of Economics, University of Queensland, Australia.
  96. Hettihewa, Samanthala & Saha, Shrabani & Zhang, Hanxiong, 2018. "Does an aging population influence stock markets? Evidence from New Zealand," Economic Modelling, Elsevier, vol. 75(C), pages 142-158.
  97. Caporale, Guglielmo Maria & Çatık, Abdurrahman Nazif & Huyuguzel Kısla, Gul Serife & Helmi, Mohamad Husam & Akdeniz, Coşkun, 2022. "Oil prices and sectoral stock returns in the BRICS-T countries: A time-varying approach," Resources Policy, Elsevier, vol. 79(C).
  98. Nazif Çatık, Abdurrahman & Huyugüzel Kışla, Gül & Akdeni̇z, Coşkun, 2020. "Time-varying impact of oil prices on sectoral stock returns: Evidence from Turkey," Resources Policy, Elsevier, vol. 69(C).
  99. Gomes de Lima, Manuela & Lélis, Marcos Tadeo Caputi & Cunha, André Moreira, 2012. "The performance of Chinese and Brazilian exports to Latin America, 1994-2009," Revista CEPAL, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL), April.
  100. Mikayilov, Jeyhun I. & Darandary, Abdulelah & Alyamani, Ryan & Hasanov, Fakhri J. & Alatawi, Hatem, 2020. "Regional heterogeneous drivers of electricity demand in Saudi Arabia: Modeling regional residential electricity demand," Energy Policy, Elsevier, vol. 146(C).
  101. Petros Pechlivanoglou & Jaap E. Wieringa & Tim de Jager & Maarten J. Postma, 2015. "The Effect of Financial and Educational Incentives on Rational Prescribing. A State‐Space Approach," Health Economics, John Wiley & Sons, Ltd., vol. 24(4), pages 439-453, April.
  102. Jogeir Myklebust & Asgeir Tomasgard & Sjur Westgaard, 2010. "Forecasting gas component prices with multivariate structural time series models," OPEC Energy Review, Organization of the Petroleum Exporting Countries, vol. 34(2), pages 82-106, June.
  103. David C Broadstock & Eleni Papathanasopoulou, 2013. "Gasoline demand in Greece: the importance of shifts in the underlying energy demand trend," Surrey Energy Economics Centre (SEEC), School of Economics Discussion Papers (SEEDS) 141, Surrey Energy Economics Centre (SEEC), School of Economics, University of Surrey.
  104. Mariani, Maria C. & Bhuiyan, Md Al Masum & Tweneboah, Osei K. & Gonzalez-Huizar, Hector & Florescu, Ionut, 2018. "Volatility models applied to geophysics and high frequency financial market data," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 503(C), pages 304-321.
  105. Bartzsch, Nikolaus & Brandi, Marco & de Pastor, Raymond & Devigne, Lucas & Maddaloni, Gianluca & Posada Restrepo, Diana & Sene, Gabriele, 2023. "Forecasting banknote circulation during the COVID-19 pandemic using structural time series models," Discussion Papers 20/2023, Deutsche Bundesbank.
  106. Chen, Xiaoshan & MacDonald, Ronald, 2015. "Measuring the dollar–euro permanent equilibrium exchange rate using the unobserved components model," Journal of International Money and Finance, Elsevier, vol. 53(C), pages 20-35.
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