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Aaron Smith

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.

Wikipedia or ReplicationWiki mentions

(Only mentions on Wikipedia that link back to a page on a RePEc service)
  1. Konstantinos Metaxoglou & Aaron Smith, 2007. "Efficiency of the California electricity reserves market," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 22(6), pages 1127-1144.

    Mentioned in:

    1. Efficiency of the California electricity reserves market (Journal of Applied Econometrics 2007) in ReplicationWiki ()

Working papers

  1. Konstantinos Metaxoglou & Aaron Smith, 2022. "Nutrient Pollution and U.S. Agriculture: Causal Effects, Integrated Assessment, and Implications of Climate Change," NBER Working Papers 30124, National Bureau of Economic Research, Inc.

    Cited by:

    1. Jacqueline Amaya & Emily Bednarski & Allison Guccione & Zachary Raniszeski & Megan Tierney & Samantha Trajcevski & Isabella Waite & Robert J. Brecha, 2024. "The Food, Energy, and Water Nexus through the Lens of Electric Vehicle Adoption and Ethanol Consumption in the United States," Sustainability, MDPI, vol. 16(13), pages 1-19, June.
    2. Hsin‐Chieh Hsieh & Benjamin M. Gramig, 2024. "Estimating the impact of cover crop adoption on ambient nitrogen concentration in the upper Mississippi River drainage," Applied Economic Perspectives and Policy, John Wiley & Sons, vol. 46(2), pages 609-626, June.
    3. Choi, Eseul & DePaula, Guilherme & Kyveryga, Peter & Fey, Suzanne, 2024. "The Trade-off between Yield and Nitrogen Pollution under Excessive Rainfall: Evidence from On-farm Field Experiments in Iowa," ISU General Staff Papers 202402222018560000, Iowa State University, Department of Economics.

  2. Olivia, Susan & Gibson, John & Smith, Aaron D. & Rozelle, Scott & Deng, Xiangzheng, 2009. "An Empirical Evaluation of Poverty Mapping Methodology: Explicitly Spatial versus Implicitly Spatial Approach," 2009 Conference (53rd), February 11-13, 2009, Cairns, Australia 47651, Australian Agricultural and Resource Economics Society.

    Cited by:

    1. Taupo, Tauisi & Cuffe, Harold & Noy, Ilan, 2016. "Household vulnerability on the frontline of climate change: The Pacific atoll nation of Tuvalu," Working Paper Series 19500, Victoria University of Wellington, School of Economics and Finance.
    2. Cuong Nguyen & Ilan Noy, 2018. "Measuring the Impact of Insurance on Urban Recovery with Light: The 2010-2011 New Zealand Earthquakes," CESifo Working Paper Series 7031, CESifo.

  3. Carter, Colin A. & Smith, Aaron D., 2006. "Estimating the Market Effect of a Food Scare: The Case of Genetically Modified StarLink Corn," 2006 Annual Meeting, August 12-18, 2006, Queensland, Australia 25447, International Association of Agricultural Economists.

    Cited by:

    1. Schaefer, K. Aleks & Scheitrum, Daniel, 2020. "Sewing terror: price dynamics of the strawberry needle crisis," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 64(2), April.
    2. Martin Henseler & Isabelle Piot-Lepetit & Aida Gonzalez Mellado & Emanuele Ferrari & Martin Banse & Harald Grethe & Claudia Parisi & Sophie Helaine, 2013. "On the asynchronous approvals of GM crops: potential market impacts of a trade disruption of EU soy imports," Post-Print hal-02646480, HAL.
    3. Ye, Shiyu & Karali, Berna, 2016. "Estimating relative price impact: The case of Brent and WTI," 2016 Annual Meeting, July 31-August 2, Boston, Massachusetts 235728, Agricultural and Applied Economics Association.
    4. Kalaitzandonakes, Nicholas & Kaufman, James & Miller, Douglas, 2014. "Potential economic impacts of zero thresholds for unapproved GMOs: The EU case," Food Policy, Elsevier, vol. 45(C), pages 146-157.
    5. David Ubilava, 2012. "El Niño, La Niña, and world coffee price dynamics," Agricultural Economics, International Association of Agricultural Economists, vol. 43(1), pages 17-26, January.
    6. de Faria, Rosane Nunes & Wieck, Christine, 2014. "Measuring The Extent Of Gmo Asynchronous Approval Using Regulatory Dissimilarity Indices: The Case Of Maize And Soybean," 2014 International Congress, August 26-29, 2014, Ljubljana, Slovenia 182796, European Association of Agricultural Economists.
    7. Adjemian, Michael K. & Smith, Aaron & He, Wendi, 2019. "Estimating the Market Effect of a Trade War: The Case of Soybean Tariffs," 2019 Annual Meeting, July 21-23, Atlanta, Georgia 292089, Agricultural and Applied Economics Association.
    8. Vincent Smith & Justus H. H. Wesseler & David Zilberman, 2021. "New Plant Breeding Technologies: An Assessment of the Political Economy of the Regulatory Environment and Implications for Sustainability," Sustainability, MDPI, vol. 13(7), pages 1-18, March.
    9. MacLachlan, Matthew J. & Boussios, David & Hagerman, Amy D., 2021. "Market Responses to Export Restrictions from Highly Pathogenic Avian Influenza Outbreaks," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 47(1), January.
    10. Almánzar, Miguel & Torero, Máximo & Grebmer, Klaus von, 2013. "Futures Commodities Prices and Media Coverage," Discussion Papers 149414, University of Bonn, Center for Development Research (ZEF).
    11. Gao, Yixuan & Malone, Trey & Schaefer, K. Aleks & Myers, Robert J., 2023. "Disentangling Short-Run COVID-19 Price Impact Pathways in the US Corn Market," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 48(2), May.
    12. Xavier IRZ & Mario MAZZOCCHI & Vincent RÉQUILLART & Louis-Georges SOLER, 2015. "Research in Food Economics: past trends and new challenges," Review of Agricultural and Environmental Studies - Revue d'Etudes en Agriculture et Environnement, INRA Department of Economics, vol. 96(1), pages 187-237.
    13. James B. Bushnell & Jonathan E. Hughes & Aaron Smith, 2017. "Food vs. Fuel? Impacts of Petroleum Shipments on Agricultural Prices," NBER Working Papers 23924, National Bureau of Economic Research, Inc.
    14. R. Guy Reeves & Martin Phillipson, 2017. "Mass Releases of Genetically Modified Insects in Area-Wide Pest Control Programs and Their Impact on Organic Farmers," Sustainability, MDPI, vol. 9(1), pages 1-24, January.
    15. de Faria, Rosane Nunes & Wieck, Christine, 2015. "Empirical evidence on the trade impact of asynchronous regulatory approval of new GMO events," Food Policy, Elsevier, vol. 53(C), pages 22-32.
    16. Detre, Joshua D. & Gunderson, Michael A., 2011. "The Triple Bottom Line: What is the Impact on the Returns to Agribusiness?," International Food and Agribusiness Management Review, International Food and Agribusiness Management Association, vol. 14(4), pages 1-14, November.
    17. Carlos Arnade & Linda Calvin & Fred Kuchler, 2009. "Consumer Response to a Food Safety Shock: The 2006 Food-Borne Illness Outbreak of E. coli O157: H7 Linked to Spinach," Review of Agricultural Economics, Agricultural and Applied Economics Association, vol. 31(4), pages 734-750, December.
    18. Yu, Zhijian & Jin, Zhibin & Bai, Hefei & Yu, Xiaohua & Zheng, Shi, 2021. "Scares, Risks, and Recovery: Consumers’ Response to the Incident of Salmon Contamination of COVID-19 in China," 2021 Conference, August 17-31, 2021, Virtual 315353, International Association of Agricultural Economists.
    19. Hoffmann, Vivian & Moser, Christine & Saak, Alexander, 2019. "Food safety in low and middle-income countries: The evidence through an economic lens," World Development, Elsevier, vol. 123(C), pages 1-1.
    20. Almanzar, Miguel & Torero, Maximo, 2017. "Media Coverage and Food Commodities: Agricultural Futures Prices and Volatility Effects," Discussion Papers 264781, University of Bonn, Center for Development Research (ZEF).
    21. John Cotter & Kevin Dowd & Wyn Morgan, 2011. "Extreme Measures of Agricultural Financial Risk," Papers 1103.5962, arXiv.org.
    22. Ferrier, P. & Zhen, C. & Bovay, J., 2018. "Price and Welfare Effects of the Food Safety Modernization Act Produce Safety Rule," 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia 277492, International Association of Agricultural Economists.
    23. Stojkov, Katarina & Noy, Ilan & Sağlam, Yiğit, 2016. "The trade impacts of a food scare: The Fonterra contamination incident," Working Paper Series 19393, Victoria University of Wellington, School of Economics and Finance.
    24. Jacob Wells & Peter Slade, 2021. "The effect of the Canada–China canola trade dispute on canola prices," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 69(1), pages 141-149, March.
    25. Filipski, Mateusz J. & Jin, Ling & Zhang, Xiaobo & Chen, Kevin Z., 2015. "Living like there’s no tomorrow: Saving and spending following the Sichuan earthquake:," IFPRI discussion papers 1461, International Food Policy Research Institute (IFPRI).
    26. David Ubilava, 2012. "Modeling Nonlinearities in the U.S. Soybean‐to‐Corn Price Ratio: A Smooth Transition Autoregression Approach," Agribusiness, John Wiley & Sons, Ltd., vol. 28(1), pages 29-41, January.
    27. Ubilava, David & Helmers, Claes Gustav, 2011. "The ENSO Impact on Predicting World Cocoa Prices," 2011 Annual Meeting, July 24-26, 2011, Pittsburgh, Pennsylvania 103528, Agricultural and Applied Economics Association.
    28. Richard D. Smart & Matthias Blum & Justus Wesseler, 2017. "Trends in Approval Times for Genetically Engineered Crops in the United States and the European Union," Journal of Agricultural Economics, Wiley Blackwell, vol. 68(1), pages 182-198, February.
    29. Magnier, Alexandre & Konduru, Srinivasa & Kalaitzandonakes, Nicholas G., 2009. "Market and Welfare Effects of Trade Disruptions from Unapproved Biotech Crops," 2009 Annual Meeting, July 26-28, 2009, Milwaukee, Wisconsin 49592, Agricultural and Applied Economics Association.
    30. McKendree, Melissa G. S. & Saitone, Tina L. & Schaefer, K Aleks, 2020. "Cattle Cycle Dynamics in a Modern Agricultural Market: Competition in Holstein Cattle Procurement," 2020 Annual Meeting, July 26-28, Kansas City, Missouri 304380, Agricultural and Applied Economics Association.
    31. Troy G. Schmitz, 2018. "Impact of the Chinese embargo against MIR162 corn on Canadian corn producers," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 66(4), pages 571-586, December.
    32. John Bovay, 2023. "Food safety, reputation, and regulation," Applied Economic Perspectives and Policy, John Wiley & Sons, vol. 45(2), pages 684-704, June.
    33. Han, Xue & Philip, Garcia, 2016. "GMO Contamination Price Effects in the U.S. Corn Market: StarLink and MIR162," 2016 Annual Meeting, July 31-August 2, Boston, Massachusetts 236004, Agricultural and Applied Economics Association.
    34. Stacy Sneeringer & Gianna Short & Matthew MacLachlan & Maria Bowman, 2020. "Impacts on Livestock Producers and Veterinarians of FDA Policies on Use of Medically Important Antibiotics in Food Animal Production," Applied Economic Perspectives and Policy, John Wiley & Sons, vol. 42(4), pages 674-694, December.
    35. M. P. McCullough & T. L. Marsh & R. Huffaker, 2013. "Reconstructing market reactions to consumption harms," Applied Economics Letters, Taylor & Francis Journals, vol. 20(2), pages 173-179, February.
    36. David Ubilava, 2014. "El Niño Southern Oscillation and the fishmeal–soya bean meal price ratio: regime-dependent dynamics revisited," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 41(4), pages 583-604.
    37. Chen, Xiaohong & Zhao, Jinhua & Zhou, Li, 2024. "Knowledge protects against pollution: The health effects of the cadmium rice event in China," World Development, Elsevier, vol. 175(C).
    38. Melissa G.S. McKendree & Tina L. Saitone & K. Aleks Schaefer, 2021. "Oligopsonistic Input Substitution in a Thin Market," American Journal of Agricultural Economics, John Wiley & Sons, vol. 103(4), pages 1414-1432, August.
    39. Kjersti Nes & K. Aleks Schaefer & Daniel P. Scheitrum, 2022. "Global Food Trade and the Costs of Non‐Adoption of Genetic Engineering," American Journal of Agricultural Economics, John Wiley & Sons, vol. 104(1), pages 70-91, January.
    40. Neill, Clinton L. & Chen, Susan E., 2021. "Food Safety Events versus Media: Nonlinear Effects of Egg Recalls on U.S. Egg Prices," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 47(1), January.
    41. Wesseler, Justus, 2014. "Biotechnologies and agrifood strategies: opportunities, threats and economic implications," Bio-based and Applied Economics Journal, Italian Association of Agricultural and Applied Economics (AIEAA), vol. 3(3), pages 1-18, December.
    42. Filipski, Mateusz & Jin, Ling & Zhang, Xiaobo & Chen, Kevin Z., 2019. "Living like there’s no tomorrow: The psychological effects of an earthquake on savings and spending behavior," European Economic Review, Elsevier, vol. 116(C), pages 107-128.

  4. Smith, Aaron D. & Naik, Prasad A. & Tsai, Chih-Ling, 2005. "Markov-Switching Model Selection Using Kullback-Leibler Divergence," Working Papers 11976, University of California, Davis, Department of Agricultural and Resource Economics.

    Cited by:

    1. Carstensen, Kai & Heinrich, Markus & Reif, Magnus & Wolters, Maik H., 2020. "Predicting ordinary and severe recessions with a three-state Markov-switching dynamic factor model," International Journal of Forecasting, Elsevier, vol. 36(3), pages 829-850.
    2. Philippe J. Deschamps, 2008. "Comparing smooth transition and Markov switching autoregressive models of US unemployment," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 23(4), pages 435-462.
    3. Mathieu Gatumel & Florian Ielpo, 2011. "The Number of Regimes Across Asset Returns: Identification and Economic Value," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-00658540, HAL.
    4. James D. Hamilton & Tatsuyoshi Okimoto, 2010. "Sources of Variation in Holding Returns for Fed Funds Futures Contracts," NBER Working Papers 15736, National Bureau of Economic Research, Inc.
    5. Dendramis, Yiannis & Kapetanios, George & Tzavalis, Elias, 2014. "Level shifts in stock returns driven by large shocks," Journal of Empirical Finance, Elsevier, vol. 29(C), pages 41-51.
    6. Hiroyuki Kasahara & Tatsuyoshi Okimoto & Katsumi Shimotsu, 2014. "Modified Quasi-Likelihood Ratio Test for Regime Switching," The Japanese Economic Review, Japanese Economic Association, vol. 65(1), pages 25-41, March.
    7. Takero Doi & Takeo Hoshi & Tatsuyoshi Okimoto, 2011. "Japanese Government Debt and Sustainability of Fiscal Policy," NBER Working Papers 17305, National Bureau of Economic Research, Inc.
    8. Okimoto, Tatsuyoshi & Takaoka, Sumiko, 2017. "The term structure of credit spreads and business cycle in Japan," Journal of the Japanese and International Economies, Elsevier, vol. 45(C), pages 27-36.
    9. N. Baba & Y. Sakurai, 2011. "Predicting regime switches in the VIX index with macroeconomic variables," Applied Economics Letters, Taylor & Francis Journals, vol. 18(15), pages 1415-1419.
    10. Ghysels, Eric & Guérin, Pierre & Marcellino, Massimiliano, 2014. "Regime switches in the risk–return trade-off," Journal of Empirical Finance, Elsevier, vol. 28(C), pages 118-138.
    11. Dibooglu, Sel & Erdogan, Seyfettin & Yildirim, Durmus Cagri & Cevik, Emrah Ismail, 2020. "Financial conditions and monetary policy in the US," Economic Systems, Elsevier, vol. 44(4).
    12. Kaihua Deng, 2018. "Another Look at Large-Cap Stock Return Comovement: A Semi-Markov-Switching Approach," Computational Economics, Springer;Society for Computational Economics, vol. 51(2), pages 227-262, February.
    13. Rinke, Saskia & Sibbertsen, Philipp, 2015. "Information Criteria for Nonlinear Time Series Models," Hannover Economic Papers (HEP) dp-548, Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät.
    14. Magnus Reif, 2020. "Macroeconomics, Nonlinearities, and the Business Cycle," ifo Beiträge zur Wirtschaftsforschung, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, number 87.
    15. Oded Netzer & James M. Lattin & V. Srinivasan, 2008. "A Hidden Markov Model of Customer Relationship Dynamics," Marketing Science, INFORMS, vol. 27(2), pages 185-204, 03-04.
    16. Melvin Woodley, 2021. "Decoupling the individual effects of multiple marketing channels with state space models," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 20(3), pages 248-255, June.
    17. Roque Montero & Javier García-Cicco, 2012. "Modelo y Pronóstico del Precio del Cobre: Un Enfoque de Cambio de Regímenes," Notas de Investigación Journal Economía Chilena (The Chilean Economy), Central Bank of Chile, vol. 15(2), pages 099-116, August.
    18. Josh Stillwagon & Peter Sullivan, 2020. "Markov switching in exchange rate models: will more regimes help?," Empirical Economics, Springer, vol. 59(1), pages 413-436, July.
    19. Hwa-Taek Lee & Gawon Yoon, 2013. "Does purchasing power parity hold sometimes? Regime switching in real exchange rates," Applied Economics, Taylor & Francis Journals, vol. 45(16), pages 2279-2294, June.
    20. Girardin, Eric & Salimi Namin, Fatemeh, 2019. "The January effect in the foreign exchange market: Evidence for seasonal equity carry trades," Economic Modelling, Elsevier, vol. 81(C), pages 422-439.
    21. Fatemeh Salimi Namin, 2020. "Exchange Rates, Stock Prices, and Stock Market Uncertainty," AMSE Working Papers 2037, Aix-Marseille School of Economics, France.
    22. Winn-Nuñez, Emily T. & Griffin, Maryclare & Crawford, Lorin, 2024. "A simple approach for local and global variable importance in nonlinear regression models," Computational Statistics & Data Analysis, Elsevier, vol. 194(C).
    23. Carstensen, Kai & Heinrich, Markus & Reif, Magnus & Wolters, Maik H., 2020. "Predicting ordinary and severe recessions with a three-state Markov-switching dynamic factor model An application to the German business cycle," Munich Reprints in Economics 84736, University of Munich, Department of Economics.
    24. Bejaoui, Azza & Karaa, Adel, 2016. "Revisiting the bull and bear markets notions in the Tunisian stock market: New evidence from multi-state duration-dependence Markov-switching models," Economic Modelling, Elsevier, vol. 59(C), pages 529-545.
    25. Song, Wonho & Ryu, Doojin & Webb, Robert I., 2016. "Overseas market shocks and VKOSPI dynamics: A Markov-switching approach," Finance Research Letters, Elsevier, vol. 16(C), pages 275-282.
    26. Pierre Guérin & Danilo Leiva-Leon & Massimiliano Marcellino, 2017. "Markov-Switching Three-Pass Regression Filter," Staff Working Papers 17-13, Bank of Canada.
    27. Rianne Legerstee & Philip Hans Franses, 2015. "Does Disagreement Amongst Forecasters Have Predictive Value?," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 34(4), pages 290-302, July.
    28. Christian Aßmann & Jens Boysen-Hogrefe, 2010. "Analysis of current account reversals via regime switching models," Economic Change and Restructuring, Springer, vol. 43(1), pages 21-43, February.
    29. Smith Aaron, 2012. "Markov Breaks in Regression Models," Journal of Time Series Econometrics, De Gruyter, vol. 4(1), pages 1-35, May.
    30. Mathieu Gatumel & Florian Ielpo, 2011. "The Number of Regimes Across Asset Returns: Identification and Economic Value," Post-Print halshs-00658540, HAL.
    31. Lee, Hwa-Taek & Yoon, Gawon, 2007. "Does Purchasing Power Parity Hold Sometimes? Regime Switching in Real Exchange Rates," Economics Working Papers 2007-24, Christian-Albrechts-University of Kiel, Department of Economics.
    32. Davide Debortoli & Ricardo Nunes, 2011. "Monetary regime switches and unstable objectives," International Finance Discussion Papers 1036, Board of Governors of the Federal Reserve System (U.S.).
    33. Balcılar, Mehmet & Demirer, Rıza & Hammoudeh, Shawkat, 2015. "Regional and global spillovers and diversification opportunities in the GCC equity sectors," Emerging Markets Review, Elsevier, vol. 24(C), pages 160-187.
    34. Baba, Naohiko & Sakurai, Yuji, 2011. "When and how US dollar shortages evolved into the full crisis? Evidence from the cross-currency swap market," Journal of Banking & Finance, Elsevier, vol. 35(6), pages 1450-1463, June.
    35. Maciejowska, Katarzyna, 2013. "Assessing the number of components in a normal mixture: an alternative approach," MPRA Paper 50303, University Library of Munich, Germany.
    36. Nan Li & Simon S. Kwok, 2021. "Jointly determining the state dimension and lag order for Markov‐switching vector autoregressive models," Journal of Time Series Analysis, Wiley Blackwell, vol. 42(4), pages 471-491, July.
    37. Fatemeh Salimi, 2020. "Exchange Rates, Stock Prices, and Stock Market Uncertainty," Working Papers halshs-03007904, HAL.
    38. ZHENG, Tingguo & WANG, Xia & GUO, Huiming, 2012. "Estimating forward-looking rules for China's Monetary Policy: A regime-switching perspective," China Economic Review, Elsevier, vol. 23(1), pages 47-59.
    39. James D. Hamilton, 2016. "Macroeconomic Regimes and Regime Shifts," NBER Working Papers 21863, National Bureau of Economic Research, Inc.
    40. Huseyin Tastan & Nuri Yildirim, 2008. "Business cycle asymmetries in Turkey: an application of Markov-switching autoregressions," International Economic Journal, Taylor & Francis Journals, vol. 22(3), pages 315-333.
    41. Xu, Jianjun & Tan, Xianming & Zhang, Runchu, 2010. "A note on Phillips (1991): "A constrained maximum likelihood approach to estimating switching regressions"," Journal of Econometrics, Elsevier, vol. 154(1), pages 35-41, January.
    42. Peter Ebbes & Rajdeep Grewal & Wayne DeSarbo, 2010. "Modeling strategic group dynamics: A hidden Markov approach," Quantitative Marketing and Economics (QME), Springer, vol. 8(2), pages 241-274, June.
    43. Katarzyna Maciejowska, 2010. "Estimation Methods Comparison of SVAR Models with a Mixture of Two Normal Distributions," Central European Journal of Economic Modelling and Econometrics, Central European Journal of Economic Modelling and Econometrics, vol. 2(4), pages 279-314, September.
    44. Elena Derunova & Alexandr Semenov & Olga Balash & Anna Firsova, 2016. "The Mechanisms of Formation of Demand in the High-Tech Products Market," International Journal of Economics and Financial Issues, Econjournals, vol. 6(1), pages 96-102.
    45. L. Scaffidi Domianello & E. Otranto, 2023. "On the relationship between Markov Switching inference and Fuzzy Clustering: A Monte Carlo evidence," Working Paper CRENoS 202304, Centre for North South Economic Research, University of Cagliari and Sassari, Sardinia.
    46. Kerekes, Monika, 2009. "Growth miracles and failures in a Markov switching classification model of growth," Discussion Papers 2009/11, Free University Berlin, School of Business & Economics.

  5. Smith, Aaron D. & Morrison Paul, Catherine J. & Goe, W. Richard & Kenney, Martin, 2004. "Computer and Internet Use by Great Plains Farmers," Working Papers 11947, University of California, Davis, Department of Agricultural and Resource Economics.

    Cited by:

    1. Arens, Ludwig & Plumeyer, Cord-Herwig & Theuvsen, Ludwig, 2011. "Akzeptanz von Informationssystemen durch Schweinemäster: Eine Kausalanalyse," 51st Annual Conference, Halle, Germany, September 28-30, 2011 114482, German Association of Agricultural Economists (GEWISOLA).
    2. LoPiccalo, Katherine, 2022. "Impact of broadband penetration on U.S. Farm productivity: A panel approach," Telecommunications Policy, Elsevier, vol. 46(9).
    3. Sauer, Johannes & Zilberman, David, 2009. "Innovation behaviour at farm level: Selection and identification," 49th Annual Conference, Kiel, Germany, September 30-October 2, 2009 53276, German Association of Agricultural Economists (GEWISOLA).
    4. Kahsay, Goytom Abraha & Garcia, Nerea Turreira & Bosselmann, Aske Skovmand, 2023. "Mobile Internet Use and Climate Adaptation: Empirical Evidence from Vietnamese Coffee Farmers," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 48(3), September.
    5. Zapata, Samuel D. & Isengildina-Massa, Olga & Carpio, Carlos E. & Lamie, R. David, 2016. "Does E-Commerce Help Farmers’ Markets? Measuring the Impact of MarketMaker," Journal of Food Distribution Research, Food Distribution Research Society, vol. 47(2), pages 1-18, July.
    6. Briggeman, Brian C. & Whitacre, Brian E., 2010. "Farming and the Internet: Reasons for Non-Use," Agricultural and Resource Economics Review, Northeastern Agricultural and Resource Economics Association, vol. 39(3), pages 1-14, October.
    7. Sauer, J. & Zilbermann, D., 2010. "Innovation Behaviour At Farm Level – Selection And Identification," Proceedings “Schriften der Gesellschaft für Wirtschafts- und Sozialwissenschaften des Landbaues e.V.”, German Association of Agricultural Economists (GEWISOLA), vol. 45, March.
    8. Qianqian Chen & Chao Zhang & Ruifa Hu & Shengyang Sun, 2022. "Can Information from the Internet Improve Grain Technical Efficiency? New Evidence from Rice Production in China," Agriculture, MDPI, vol. 12(12), pages 1-16, December.
    9. Lin Tang & Xiaofeng Luo & Yanzhong Huang & Sanxia Du & Aqian Yan, 2023. "Can smartphone use increase farmers’ willingness to participate in the centralized treatment of rural domestic sewage? Evidence from rural China," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(4), pages 3379-3403, April.
    10. Monaco, Lourival C. & Mohammadi, Z. Mati & Utech, Hailey & Gray, Allan W. & Brewer, Brady E. & Downey, Scott & Keshavarz, Masoomeh, 2021. "Online Purchasing of Agricultural Inputs by American Farmers," 2021 Annual Meeting, August 1-3, Austin, Texas 313987, Agricultural and Applied Economics Association.
    11. Fecke, Wilm & Danne, Michael & Mußhoff, Oliver, 2018. "E-commerce in agriculture: The case of crop protection product purchases in a discrete choice experiment," DARE Discussion Papers 1803, Georg-August University of Göttingen, Department of Agricultural Economics and Rural Development (DARE).
    12. Baer, Alexander G. & Brown, Cheryl, 2006. "Adoption of E-Marketing by Direct Market Farms in the Northeastern U.S," 2006 Annual meeting, July 23-26, Long Beach, CA 21320, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    13. Arens, L. & Plumeyer, C.H. & Theuvsen, L., 2012. "Akzeptanz von Informationssystemen durch Schweinemäster: Eine Kausalanalyse," Proceedings “Schriften der Gesellschaft für Wirtschafts- und Sozialwissenschaften des Landbaues e.V.”, German Association of Agricultural Economists (GEWISOLA), vol. 47, March.
    14. Hung‐Hao Chang & David R. Just, 2009. "Internet Access and Farm Household Income – Empirical Evidence using a Semi‐parametric Assessment in Taiwan," Journal of Agricultural Economics, Wiley Blackwell, vol. 60(2), pages 348-366, June.
    15. Adamides, George & Stylianou, Andreas & Kosmas, Petros C. & Apostolopoulos, Constantinos D., 2013. "Factors Affecting PC and Internet Usage by the Rural Population of Cyprus," Agricultural Economics Review, Greek Association of Agricultural Economists, vol. 14(1), pages 1-21.
    16. Wanglin Ma & Peng Nie & Pei Zhang & Alan Renwick, 2020. "Impact of Internet use on economic well‐being of rural households: Evidence from China," Review of Development Economics, Wiley Blackwell, vol. 24(2), pages 503-523, May.
    17. Sauer, Johannes & Zilberman, David D., 2009. "Innovation behaviour at micro level - selection and identification," Department of Agricultural & Resource Economics, UC Berkeley, Working Paper Series qt6t49r0fh, Department of Agricultural & Resource Economics, UC Berkeley.
    18. El-Osta, Hisham S., 2011. "The Impact of Human Capital on Farm Operator Household Income," Agricultural and Resource Economics Review, Northeastern Agricultural and Resource Economics Association, vol. 40(1), pages 1-21, April.
    19. Zhu, Xiaoke & Hu, Ruifa & Zhang, Chao & Shi, Guanming, 2021. "Does Internet use improve technical efficiency? Evidence from apple production in China," Technological Forecasting and Social Change, Elsevier, vol. 166(C).
    20. Marius Michels & Wilm Fecke & Jan‐Henning Feil & Oliver Musshoff & Frederike Lülfs‐Baden & Saskia Krone, 2020. "“Anytime, anyplace, anywhere”—A sample selection model of mobile internet adoption in german agriculture," Agribusiness, John Wiley & Sons, Ltd., vol. 36(2), pages 192-207, April.
    21. Paulo Duarte & Ana Rita Pais, 2010. "Use and Perception of the Internet as a Marketing Tool to Promote Rural Tourism," Working Papers de Gestão, Economia e Marketing (Management, Economics and Marketing Working Papers) td05_2010, Universidade da Beira Interior, Departamento de Gestão e Economia (Portugal).
    22. Baer, Alexander G. & Brown, Cheryl, 2007. "Adoption of E-Marketing by Direct-Market Farms in the Northeastern United States," Journal of Food Distribution Research, Food Distribution Research Society, vol. 38(2), pages 1-11, July.
    23. Tadjiev, Abdusame & Kurbanov, Zafar & Djanibekov, Nodir & Govind, Ajit & Akramkhanov, Akmal, 2023. "Determinants and impact of farmers' participation in social media groups: Evidence from irrigated areas of Kazakhstan and Uzbekistan," IAMO Discussion Papers 201, Leibniz Institute of Agricultural Development in Transition Economies (IAMO).
    24. Danne, Michael & Fecke, Wilm & Mußhoff, Oliver, 2021. "Onlineeinkauf von Pflanzenschutzmitteln: Ein Discrete-Choice-Experiment mit landwirtschaftlichen Unternehmern in Deutschland," German Journal of Agricultural Economics, Humboldt-Universitaet zu Berlin, Department for Agricultural Economics, vol. 70(02), January.
    25. Thia Hennessy & Doris Läpple & Brian Moran, 2016. "The Digital Divide in Farming: A Problem of Access or Engagement?," Applied Economic Perspectives and Policy, Agricultural and Applied Economics Association, vol. 38(3), pages 474-491.
    26. Briggeman, Brian C. & Whitacre, Brian E., 2008. "Farming and the Internet: Factors Affecting Input Purchases Online and Reasons for Non-Adoption," 2008 Annual Meeting, February 2-6, 2008, Dallas, Texas 6871, Southern Agricultural Economics Association.

  6. Carter, Colin A. & Smith, Aaron D., 2004. "The Market Effect of a Food Scare: The Case of Genetically Modified StarLink Corn," Working Papers 11997, University of California, Davis, Department of Agricultural and Resource Economics.

    Cited by:

    1. David Ubilava, 2012. "El Niño, La Niña, and world coffee price dynamics," Agricultural Economics, International Association of Agricultural Economists, vol. 43(1), pages 17-26, January.
    2. Almánzar, Miguel & Torero, Máximo & Grebmer, Klaus von, 2013. "Futures Commodities Prices and Media Coverage," Discussion Papers 149414, University of Bonn, Center for Development Research (ZEF).
    3. Zhen, Chen, 2009. "Long-Run Effects From Consumer Reaction To The Spread Of Foodborne Pathogens: The Case Of E. Coli Contamination Of Beef At Jack In The Box Restaurants," 2009 Conference, August 16-22, 2009, Beijing, China 51341, International Association of Agricultural Economists.
    4. Detre, Joshua D. & Gunderson, Michael A., 2011. "The Triple Bottom Line: What is the Impact on the Returns to Agribusiness?," International Food and Agribusiness Management Review, International Food and Agribusiness Management Association, vol. 14(4), pages 1-14, November.
    5. Resende Filho, Moises de Andrade & Buhr, Brian L., 2006. "Economic Evidence of Willingness to Pay for the National Animal Identification System in the US," 2006 Annual Meeting, August 12-18, 2006, Queensland, Australia 25342, International Association of Agricultural Economists.
    6. John Cotter & Kevin Dowd & Wyn Morgan, 2011. "Extreme Measures of Agricultural Financial Risk," Papers 1103.5962, arXiv.org.
    7. David Ubilava, 2012. "Modeling Nonlinearities in the U.S. Soybean‐to‐Corn Price Ratio: A Smooth Transition Autoregression Approach," Agribusiness, John Wiley & Sons, Ltd., vol. 28(1), pages 29-41, January.
    8. Ubilava, David & Helmers, Claes Gustav, 2011. "The ENSO Impact on Predicting World Cocoa Prices," 2011 Annual Meeting, July 24-26, 2011, Pittsburgh, Pennsylvania 103528, Agricultural and Applied Economics Association.
    9. Magnier, Alexandre & Konduru, Srinivasa & Kalaitzandonakes, Nicholas G., 2009. "Market and Welfare Effects of Trade Disruptions from Unapproved Biotech Crops," 2009 Annual Meeting, July 26-28, 2009, Milwaukee, Wisconsin 49592, Agricultural and Applied Economics Association.

  7. Smith, Aaron D., 2004. "Partially Overlapping Time Series: A New Model for Volatility Dynamics in Commodity Futures," Working Papers 11978, University of California, Davis, Department of Agricultural and Resource Economics.

    Cited by:

    1. Julyerme M. Tonin & Carlos M. R. Vieira & Rui M. de Sousa Fragoso & João G. Martines Filho, 2020. "Conditional correlation and volatility between spot and futures markets for soybean and corn," Agribusiness, John Wiley & Sons, Ltd., vol. 36(4), pages 707-724, October.
    2. Xiaoli L. Etienne & Mindy L. Mallory & Scott H. Irwin, 2017. "Estimating the cost of pre‐harvest forward contracting corn and soybeans in Illinois before and after 2007," Agribusiness, John Wiley & Sons, Ltd., vol. 33(3), pages 358-377, June.
    3. Suenaga, Hiroaki, 2013. "Measuring bias in a term-structure model of commodity prices through the comparison of simultaneous and sequential estimation," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 93(C), pages 53-66.
    4. Berna Karali & Jeffrey H. Dorfman & Walter N. Thurman, 2010. "Do volatility determinants vary across futures contracts? Insights from a smoothed Bayesian estimator," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 30(3), pages 257-277, March.
    5. Gabriel E Lade & C -Y Cynthia Lin Lawell & Aaron Smith, 2018. "Policy Shocks and Market-Based Regulations: Evidence from the Renewable Fuel Standard," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 100(3), pages 707-731.
    6. Power, Gabriel J. & Robinson, John R.C., 2009. "Cotton Futures Dynamics: Structural Change, Index Traders and the Returns to Storage," 2009 Conference, April 20-21, 2009, St. Louis, Missouri 53044, NCCC-134 Conference on Applied Commodity Price Analysis, Forecasting, and Market Risk Management.
    7. Algirdas Justinas Staugaitis & Bernardas Vaznonis, 2022. "Financial Speculation Impact on Agricultural and Other Commodity Return Volatility: Implications for Sustainable Development and Food Security," Agriculture, MDPI, vol. 12(11), pages 1-27, November.
    8. Jing Ao & Jihui Chen, 2020. "Price Volatility, the Maturity Effect, and Global Oil Prices: Evidence from Chinese Commodity Futures Markets," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 44(4), pages 627-654, October.
    9. Karali, Berna & Dorfman, Jeffrey H. & Thurman, Walter N., 2009. "Does Futures Price Volatility Differ Across Delivery Horizon?," 2009 Conference, April 20-21, 2009, St. Louis, Missouri 53036, NCCC-134 Conference on Applied Commodity Price Analysis, Forecasting, and Market Risk Management.
    10. Quanbiao Shang & Teresa Serra & Philip Garcia & Mindy Mallory, 2021. "Looking under the surface: An analysis of iceberg orders in the U.S. agricultural futures markets," Agricultural Economics, International Association of Agricultural Economists, vol. 52(4), pages 679-699, July.
    11. Xiaoyang Wang & Philip Garcia & Scott H. Irwin, 2014. "The Behavior of Bid-Ask Spreads in the Electronically-Traded Corn Futures Market," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 96(2), pages 557-577.
    12. Gabriel J. Power & John R. C. Robinson, 2013. "Commodity futures price volatility, convenience yield and economic fundamentals," Applied Economics Letters, Taylor & Francis Journals, vol. 20(11), pages 1089-1095, July.
    13. Li, Jianping & Li, Guowen & Liu, Mingxi & Zhu, Xiaoqian & Wei, Lu, 2022. "A novel text-based framework for forecasting agricultural futures using massive online news headlines," International Journal of Forecasting, Elsevier, vol. 38(1), pages 35-50.
    14. Karali, Berna & Thurman, Walter N., 2007. "Announcement Effects and the Theory of Storage: An Empirical Study of Lumber Futures," 2007 Annual Meeting, July 29-August 1, 2007, Portland, Oregon 9865, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    15. Power, Gabriel J. & Turvey, Calum G., 2008. "On Term Structure Models of Commodity Futures Prices and the Kaldor-Working Hypothesis," 2008 Conference, April 21-22, 2008, St. Louis, Missouri 37608, NCCC-134 Conference on Applied Commodity Price Analysis, Forecasting, and Market Risk Management.
    16. Hiroaki Suenaga, 2013. "A flexible model of term-structure dynamics of commodity prices: a comparative analysis with a two-factor Gaussian model," Quantitative Finance, Taylor & Francis Journals, vol. 13(4), pages 509-526, March.
    17. Bozic, Marin & Fortenbery, T., 2015. "Price Discovery, Volatility Spillovers and Adequacy of Speculation when Spot Prices are Stationary: The Case of U.S. Dairy Markets," 2015 Conference, August 9-14, 2015, Milan, Italy 211369, International Association of Agricultural Economists.
    18. Zhepeng Hu & Mindy Mallory & Teresa Serra & Philip Garcia, 2017. "Measuring Price Discovery between Nearby and Deferred Contracts in Storable and Non-Storable Commodity Futures Markets," Papers 1711.03506, arXiv.org.
    19. Quanbiao Shang & Mindy Mallory & Philip Garcia, 2018. "The components of the bid†ask spread: Evidence from the corn futures market," Agricultural Economics, International Association of Agricultural Economists, vol. 49(3), pages 381-393, May.
    20. Jin, Na, 2011. "Three essays on commodity futures and options markets," ISU General Staff Papers 201101010800001428, Iowa State University, Department of Economics.

  8. Taylor, J. Edward & Boucher, Stephen R. & Smith, Aaron D. & Yunez-Naude, Antonio, 2004. "Impacts Of Policy Reforms On The Supply Of Mexican Labor To U.S. Farms: New Evidence From Mexico," 2004 Annual meeting, August 1-4, Denver, CO 19993, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).

    Cited by:

    1. Melo, Grace & Colson, Gregory J. & Ramirez, Octavio A., 2014. "Hispanic Immigrants' Opinions towards Immigration and Immigration Policy Reform," 2014 Annual Meeting, July 27-29, 2014, Minneapolis, Minnesota 170562, Agricultural and Applied Economics Association.
    2. Zachariah Rutledge & Pierre Mérel, 2023. "Farm labor supply and fruit and vegetable production," American Journal of Agricultural Economics, John Wiley & Sons, vol. 105(2), pages 644-673, March.
    3. J. Edward Taylor, 2006. "The relationship between international migration, trade, and development: some paradoxes and findings," Proceedings, Federal Reserve Bank of Dallas, pages 199-212.
    4. Fan, Maoyong & Gabbard, Susan & Pena, Anita Alves & Perloff, Jeffrey M, 2014. "Why Do Fewer Agricultural Workers Migrate Now?," Department of Agricultural & Resource Economics, UC Berkeley, Working Paper Series qt8nb89219, Department of Agricultural & Resource Economics, UC Berkeley.
    5. Brady, Michael P. & Gallardo, R. Karina & Badruddozza, Syed & Jiang, Xiaojiao, 2016. "Regional Equilibrium Wage Rate for Hired Farm Workers in the Tree Fruit Industry," Western Economics Forum, Western Agricultural Economics Association, vol. 15(1), pages 1-12.
    6. John Gibson & Bonggeun Kim, 2009. "Non-Classical Measurement Error in Long-Term Retrospective Recall Surveys," CIRJE F-Series CIRJE-F-658, CIRJE, Faculty of Economics, University of Tokyo.
    7. World Bank, 2010. "Taking Stock of Recent Migration Flows in the European Union," World Bank Publications - Reports 2965, The World Bank Group.
    8. Khan, Nazmus Sadat, 2020. "Revisiting the effects of NAFTA," Economic Analysis and Policy, Elsevier, vol. 68(C), pages 1-16.
    9. Rutledge, Zach, 2020. "No Farm Workers, No Food? Evidence from Specialty Crop Production," 2020 Annual Meeting, July 26-28, Kansas City, Missouri 304249, Agricultural and Applied Economics Association.

  9. Smith, Aaron D., 2004. "Level Shifts and the Illusion of Long Memory in Economic Time Series," Working Papers 11974, University of California, Davis, Department of Agricultural and Resource Economics.

    Cited by:

    1. D. (Derek) Bond & Michael J. Harrison & Edward J. (Edward Joseph) O'Brien, 2009. "Exploring long memory and nonlinearity in Irish real exchange Rates using tests based on semiparametric estimation," Working Papers 200901, School of Economics, University College Dublin.
    2. Luis A. Gil-Alana & Rangan Gupta, 2013. "Persistence and Cycles in Historical Oil Prices Data," Working Papers 201375, University of Pretoria, Department of Economics.
    3. Zhongjun Qu, 2010. "A Test Against Spurious Long Memory," Boston University - Department of Economics - Working Papers Series WP2010-051, Boston University - Department of Economics.
    4. Mccloskey, Adam & Perron, Pierre, 2013. "Memory Parameter Estimation In The Presence Of Level Shifts And Deterministic Trends," Econometric Theory, Cambridge University Press, vol. 29(6), pages 1196-1237, December.
    5. Mathieu Gatumel & Florian Ielpo, 2011. "The Number of Regimes Across Asset Returns: Identification and Economic Value," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-00658540, HAL.
    6. Berna Kirkulak Uludag & Zorikto Lkhamazhapov, 2014. "Long memory and structural breaks in the returns and volatility of gold: evidence from Turkey," Applied Economics, Taylor & Francis Journals, vol. 46(31), pages 3777-3787, November.
    7. McMillan, David G. & Wohar, Mark E., 2010. "Persistence and time-varying coefficients," Economics Letters, Elsevier, vol. 108(1), pages 85-88, July.
    8. Dominique Guegan, 2005. "How can we Define the Concept of Long Memory? An Econometric Survey," Econometric Reviews, Taylor & Francis Journals, vol. 24(2), pages 113-149.
    9. Dendramis, Yiannis & Kapetanios, George & Tzavalis, Elias, 2014. "Level shifts in stock returns driven by large shocks," Journal of Empirical Finance, Elsevier, vol. 29(C), pages 41-51.
    10. Zied Ftiti & Slim Chaouachi, 2018. "What Can We Learn About the Real Exchange Rate Behavior in the Case of a Peripheral Country?," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 16(3), pages 681-707, September.
    11. Adewuyi, Adeolu O. & Wahab, Bashir A. & Adeboye, Olusegun S., 2020. "Stationarity of prices of precious and industrial metals using recent unit root methods: Implications for markets’ efficiency," Resources Policy, Elsevier, vol. 65(C).
    12. Bond, Derek & Gallagher, Emer & Ramsey, Elaine, 2012. "A preliminary investigation of northern Ireland's housing market dynamics," MPRA Paper 39806, University Library of Munich, Germany.
    13. Rodríguez, Gabriel, 2017. "Modeling Latin-American stock and Forex markets volatility: Empirical application of a model with random level shifts and genuine long memory," The North American Journal of Economics and Finance, Elsevier, vol. 42(C), pages 393-420.
    14. Yoon, Gawon, 2009. "Is high real interest rate persistence an intrinsic characteristic of industrialized economies?," Economic Modelling, Elsevier, vol. 26(2), pages 359-363, March.
    15. Thanasis Stengos & M. Ege Yazgan, 2012. "Persistence in Real Exchange Rate Convergence," Working Papers 1207, University of Guelph, Department of Economics and Finance.
    16. Rea, William & Reale, Marco & Brown, Jennifer & Oxley, Les, 2011. "Long memory or shifting means in geophysical time series?," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 81(7), pages 1441-1453.
    17. Aloy, Marcel & Boutahar, Mohamed & Gente, Karine & Péguin-Feissolle, Anne, 2011. "Purchasing power parity and the long memory properties of real exchange rates: Does one size fit all?," Economic Modelling, Elsevier, vol. 28(3), pages 1279-1290, May.
    18. Rasmus Tangsgaard Varneskov & Pierre Perron, 2011. "Combining Long Memory and Level Shifts in Modeling and Forecasting the Volatility of Asset Returns," CREATES Research Papers 2011-26, Department of Economics and Business Economics, Aarhus University.
    19. Arturo Leccadito & Omar Rachedi & Giovanni Urga, 2015. "True Versus Spurious Long Memory: Some Theoretical Results and a Monte Carlo Comparison," Econometric Reviews, Taylor & Francis Journals, vol. 34(4), pages 452-479, April.
    20. Paulo M.M. Rodrigues & Uwe Hassler, 2014. "Persistence in the Banking Industry: Fractional integration and breaks in memory," Working Papers w201406, Banco de Portugal, Economics and Research Department.
    21. Karali, Berna & Power, Gabriel J., 2010. "Is commodity price volatility persistent? Another look using improved, full-sample estimates," 2010 Annual Meeting, July 25-27, 2010, Denver, Colorado 61826, Agricultural and Applied Economics Association.
    22. Baek, Changryong & Fortuna, Natércia & Pipiras, Vladas, 2014. "Can Markov switching model generate long memory?," Economics Letters, Elsevier, vol. 124(1), pages 117-121.
    23. Gawon Yoon, 2010. "Long memory in return volatility," Applied Economics Letters, Taylor & Francis Journals, vol. 17(4), pages 345-349.
    24. William Rea & Marco Reale & Jennifer Brown, 2011. "Long memory in temperature reconstructions," Climatic Change, Springer, vol. 107(3), pages 247-265, August.
    25. Barros, Carlos Pestana & Gil-Alana, Luis A. & Payne, James E., 2011. "An analysis of oil production by OPEC countries: Persistence, breaks, and outliers," Energy Policy, Elsevier, vol. 39(1), pages 442-453, January.
    26. End, Nicolas, 2023. "Big Brother is also being watched: Measuring fiscal credibility," Journal of Macroeconomics, Elsevier, vol. 77(C).
    27. McAleer, Michael & Medeiros, Marcelo C., 2008. "A multiple regime smooth transition Heterogeneous Autoregressive model for long memory and asymmetries," Journal of Econometrics, Elsevier, vol. 147(1), pages 104-119, November.
    28. Dennis Alvaro & Ángel Guillén & Gabriel Rodríguez, 2017. "Modelling the volatility of commodities prices using a stochastic volatility model with random level shifts," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 153(1), pages 71-103, February.
    29. Javier Haulde & Morten Ørregaard Nielsen, 2022. "Fractional integration and cointegration," CREATES Research Papers 2022-02, Department of Economics and Business Economics, Aarhus University.
    30. Les Oxley & Chris Price & William Rea & Marco Reale, 2008. "A New Procedure to Test for H Self-Similarity," Working Papers in Economics 08/16, University of Canterbury, Department of Economics and Finance.
    31. Giorgio Canarella & Luis A. Gil-Alana & Rangan Gupta & Stephen M. Miller, 2018. "Persistence and Cyclical Dynamics of US and UK House Prices: Evidence from Over 150 Years of Data," Working Papers 201838, University of Pretoria, Department of Economics.
    32. Busch, Marie & Sibbertsen, Philipp, 2018. "An Overview of Modified Semiparametric Memory Estimation Methods," Hannover Economic Papers (HEP) dp-628, Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät.
    33. Smith Aaron, 2012. "Markov Breaks in Regression Models," Journal of Time Series Econometrics, De Gruyter, vol. 4(1), pages 1-35, May.
    34. Mathieu Gatumel & Florian Ielpo, 2011. "The Number of Regimes Across Asset Returns: Identification and Economic Value," Post-Print halshs-00658540, HAL.
    35. Yalama, Abdullah & Celik, Sibel, 2013. "Real or spurious long memory characteristics of volatility: Empirical evidence from an emerging market," Economic Modelling, Elsevier, vol. 30(C), pages 67-72.
    36. Leschinski, Christian & Sibbertsen, Philipp, 2018. "The Periodogram of Spurious Long-Memory Processes," Hannover Economic Papers (HEP) dp-632, Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät.
    37. Ezzat, Hassan, 2013. "Long Memory Processes and Structural Breaks in Stock Returns and Volatility: Evidence from the Egyptian Exchange," MPRA Paper 51465, University Library of Munich, Germany.
    38. Terence C. Mills, 2007. "Time series modelling of two millennia of northern hemisphere temperatures: long memory or shifting trends?," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 170(1), pages 83-94, January.
    39. Omane-Adjepong, Maurice & Boako, Gidoen & Alagidede, Paul, 2018. "Modelling heterogeneous speculation in Ghana’s foreign exchange market: Evidence from ARFIMA-FIGARCH and Semi-Parametric methods," MPRA Paper 86617, University Library of Munich, Germany.
    40. Assaf, Ata, 2015. "Long memory and level shifts in REITs returns and volatility," International Review of Financial Analysis, Elsevier, vol. 42(C), pages 172-182.
    41. Samet Günay, 2016. "Performance of the Multifractal Model of Asset Returns (MMAR): Evidence from Emerging Stock Markets," IJFS, MDPI, vol. 4(2), pages 1-17, May.
    42. Dominique Guegan, 2007. "La persistance dans les marchés financiers," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-00179269, HAL.
    43. Omane-Adjepong, Maurice & Alagidede, Paul & Akosah, Nana Kwame, 2019. "Wavelet time-scale persistence analysis of cryptocurrency market returns and volatility," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 514(C), pages 105-120.
    44. Patrick Krieger & Carsten Lausberg & Kristin Wellner, 2018. "Einblicke in die Gründe für nicht-normalverteilte Immobilienrenditen: eine explorative Untersuchung deutscher Wohnimmobilienportfolios [Insights into the reasons for non-normal real estate returns:," Zeitschrift für Immobilienökonomie (German Journal of Real Estate Research), Springer;Gesellschaft für Immobilienwirtschaftliche Forschung e. V., vol. 4(1), pages 49-79, November.
    45. Slim Chaouachi & Zied Ftiti & Frederic Teulon, 2014. "Explaining the Tunisian Real Exchange: Long Memory versus Structural Breaks," Working Papers 2014-147, Department of Research, Ipag Business School.
    46. Kirkulak-Uludag, Berna & Lkhamazhapov, Zorikto, 2016. "The volatility dynamics of spot and futures gold prices: Evidence from Russia," Research in International Business and Finance, Elsevier, vol. 38(C), pages 474-484.
    47. Gabriel Rodríguez, 2016. "Modeling Latin-American Stock and Forex Markets Volatility: Empirical Application of a Model with Random Level Shifts and Genuine Long Memory [Modelando la volatilidad de los mercados bursátiles y cam," Documentos de Trabajo / Working Papers 2016-416, Departamento de Economía - Pontificia Universidad Católica del Perú.
    48. Mihaela Craioveanu & Eric Hillebrand, 2012. "Level changes in volatility models," Annals of Finance, Springer, vol. 8(2), pages 277-308, May.
    49. Omane-Adjepong, Maurice & Boako, Gideon, 2017. "Long-range dependence in returns and volatility of global gold market amid financial crises," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 472(C), pages 188-202.
    50. Robert A. Connolly & Z. Nuray Güner & Kenneth N. Hightower, 2007. "Evidence on the Extent and Potential Sources of Long Memory in U.S. Treasury Security Returns and Yields," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 39(2‐3), pages 689-702, March.
    51. Berna Kirkulak-Uludag & Zorikto Lkhamazhapov, 2017. "Volatility Dynamics of Precious Metals: Evidence from Russia," Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, vol. 67(4), pages 300-317, August.
    52. Luis Alberiko Gil-Alaña & Borja Balprad & Guglielmo Maria Caporale, 2015. "African Growth, Non-Linearities and Strong Dependence: An Empirical Study," NCID Working Papers 12/2015, Navarra Center for International Development, University of Navarra.
    53. Eric Hillebrand & Marcelo Cunha Medeiros, 2010. "Asymmetries, breaks, and long-range dependence: An estimation framework for daily realized volatility," Textos para discussão 578, Department of Economics PUC-Rio (Brazil).

  10. Smith, Aaron D., 2004. "Forecasting in the Presence of Level Shifts," Working Papers 11985, University of California, Davis, Department of Agricultural and Resource Economics.

    Cited by:

    1. Mathieu Gatumel & Florian Ielpo, 2011. "The Number of Regimes Across Asset Returns: Identification and Economic Value," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-00658540, HAL.
    2. Rossi, Barbara, 2013. "Advances in Forecasting under Instability," Handbook of Economic Forecasting, in: G. Elliott & C. Granger & A. Timmermann (ed.), Handbook of Economic Forecasting, edition 1, volume 2, chapter 0, pages 1203-1324, Elsevier.
    3. Michael D. Bradley & Dennis W. Jansen & Tara M. Sinclair, 2013. "How Well Does "Core" Inflation Capture Permanent Price Changes?," CAMA Working Papers 2013-26, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    4. Mathieu Gatumel & Florian Ielpo, 2011. "The Number of Regimes Across Asset Returns: Identification and Economic Value," Post-Print halshs-00658540, HAL.

Articles

  1. Colin A. Carter & Aaron Smith, 2007. "Estimating the Market Effect of a Food Scare: The Case of Genetically Modified StarLink Corn," The Review of Economics and Statistics, MIT Press, vol. 89(3), pages 522-533, August.
    See citations under working paper version above.
  2. Konstantinos Metaxoglou & Aaron Smith, 2007. "Maximum Likelihood Estimation of VARMA Models Using a State‐Space EM Algorithm," Journal of Time Series Analysis, Wiley Blackwell, vol. 28(5), pages 666-685, September.

    Cited by:

    1. Francesca Di Iorio & Umberto Triacca, 2014. "Testing for A Set of Linear Restrictions in VARMA Models Using Autoregressive Metric: An Application to Granger Causality Test," Econometrics, MDPI, vol. 2(4), pages 1-14, December.
    2. Joshua C C Chan & Eric Eisenstat & Gary Koop, 2014. "Large Bayesian VARMAs," Working Papers 1409, University of Strathclyde Business School, Department of Economics.
    3. Luis A. Gil-Alana & Rangan Gupta & Olusanya E. Olubusoye & OlaOluwa S. Yaya, 2015. "Time Series Analysis of Persistence in Crude Oil Price Volatility across Bull and Bear Regimes," Working Papers 201580, University of Pretoria, Department of Economics.
    4. Jean-Marie Dufour & Tarek Jouini, 2011. "Asymptotic Distributions for Some Quasi-Efficient Estimators in Echelon VARMA Models," CIRANO Working Papers 2011s-25, CIRANO.
    5. Dufour, Jean-Marie & Jouini, Tarek, 2014. "Asymptotic distributions for quasi-efficient estimators in echelon VARMA models," Computational Statistics & Data Analysis, Elsevier, vol. 73(C), pages 69-86.
    6. Joshua C.C. Chan & Eric Eisenstat, 2015. "Efficient estimation of Bayesian VARMAs with time-varying coefficients," CAMA Working Papers 2015-19, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    7. Jiaying Peng & Zhenghui Li & Benjamin M. Drakeford, 2020. "Dynamic Characteristics of Crude Oil Price Fluctuation—From the Perspective of Crude Oil Price Influence Mechanism," Energies, MDPI, vol. 13(17), pages 1-19, August.
    8. Joshua C.C. Chan & Eric Eisenstat, 2013. "Gibbs Samplers for VARMA and Its Extensions," ANU Working Papers in Economics and Econometrics 2013-604, Australian National University, College of Business and Economics, School of Economics.
    9. Nitithumbundit, Thanakorn & Chan, Jennifer S.K., 2022. "Covid-19 impact on Cryptocurrencies market using Multivariate Time Series Models," The Quarterly Review of Economics and Finance, Elsevier, vol. 86(C), pages 365-375.

  3. Konstantinos Metaxoglou & Aaron Smith, 2007. "Efficiency of the California electricity reserves market," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 22(6), pages 1127-1144.

    Cited by:

    1. Werner, Dan, 2014. "Electricity Market Price Volatility: The Importance of Ramping Costs," 2014 Annual Meeting, July 27-29, 2014, Minneapolis, Minnesota 169619, Agricultural and Applied Economics Association.

  4. Smith, Aaron & Naik, Prasad A. & Tsai, Chih-Ling, 2006. "Markov-switching model selection using Kullback-Leibler divergence," Journal of Econometrics, Elsevier, vol. 134(2), pages 553-577, October.
    See citations under working paper version above.
  5. Smith, Aaron, 2005. "Level Shifts and the Illusion of Long Memory in Economic Time Series," Journal of Business & Economic Statistics, American Statistical Association, vol. 23, pages 321-335, July.
    See citations under working paper version above.
  6. Aaron Smith, 2005. "Forecasting in the presence of level shifts," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 24(8), pages 557-574.
    See citations under working paper version above.
  7. Aaron Smith, 2005. "Partially overlapping time series: a new model for volatility dynamics in commodity futures," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 20(3), pages 405-422.
    See citations under working paper version above.
  8. Smith, Aaron D. & Goe, W. Richard & Kemey, Martin & Morrison Paul, Catherine J., 2004. "Computer and Internet Use by Great Plains Farmers," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 29(3), pages 1-20, December.
    See citations under working paper version above.
  9. Robert F. Engle & Aaron D. Smith, 1999. "Stochastic Permanent Breaks," The Review of Economics and Statistics, MIT Press, vol. 81(4), pages 553-574, November.

    Cited by:

    1. J. Cuñado & L. Gil-Alana & F. Gracia, 2009. "US stock market volatility persistence: evidence before and after the burst of the IT bubble," Review of Quantitative Finance and Accounting, Springer, vol. 33(3), pages 233-252, October.
    2. Hendry, David F. & Clements, Michael P., 2003. "Economic forecasting: some lessons from recent research," Economic Modelling, Elsevier, vol. 20(2), pages 301-329, March.
    3. Claudio Morana, 2014. "Factor Vector Autoregressive Estimation of Heteroskedastic Persistent and Non Persistent Processes Subject to Structural Breaks," Working Papers 273, University of Milano-Bicocca, Department of Economics, revised May 2014.
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Chapters

  1. Konstantinos Metaxoglou & Aaron Smith, 2022. "Nutrient Pollution and US Agriculture: Causal Effects, Integrated Assessment, and Implications of Climate Change," NBER Chapters, in: American Agriculture, Water Resources, and Climate Change, pages 297-341, National Bureau of Economic Research, Inc.
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