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Kelvin George Balcombe

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.

Blog mentions

As found by EconAcademics.org, the blog aggregator for Economics research:
  1. A. B. Prakash & E. H. D'A. Oliver & K. Balcombe, 2001. "Does building new roads really create extra traffic? Some new evidence," Applied Economics, Taylor & Francis Journals, vol. 33(12), pages 1579-1585.

    Mentioned in:

    1. Do more roads really mean less congestion for commuters?
      by Michiel Bliemer, Professor in Transport and Logistics Network Modelling at University of Sydney in The Conversation on 2015-04-13 01:33:10

Working papers

  1. Balcombe, Kelvin George & Fraser, Iain & McSorley, Eugene, 2013. "Visual Attention and Attribute Attendance in Multi-Attribute Choice Experiments," 87th Annual Conference, April 8-10, 2013, Warwick University, Coventry, UK 158709, Agricultural Economics Society.

    Cited by:

    1. Yegoryan, Narine & Guhl, Daniel & Klapper, Daniel, 2018. "Inferring Attribute Non-Attendance Using Eye Tracking in Choice-Based Conjoint Analysis," Rationality and Competition Discussion Paper Series 111, CRC TRR 190 Rationality and Competition.
    2. Chavez, Daniel & Palma, Marco & Collart, Alba J., 2016. "Eye Tracking to Model Attribute Attendance," 2016 Annual Meeting, February 6-9, 2016, San Antonio, Texas 230011, Southern Agricultural Economics Association.
    3. Balcombe, Kelvin & Fraser, Iain & Williams, Louis & McSorley, Eugene, 2017. "Examining the relationship between visual attention and stated preferences: A discrete choice experiment using eye-tracking," Journal of Economic Behavior & Organization, Elsevier, vol. 144(C), pages 238-257.
    4. Sandorf, Erlend Dancke & Campbell, Danny, 2016. "Accommodating satisficing behavior in stated choice experiments," 2016 Annual Meeting, July 31-August 2, Boston, Massachusetts 235905, Agricultural and Applied Economics Association.
    5. Robert J. Johnston & Kevin J. Boyle & Wiktor (Vic) Adamowicz & Jeff Bennett & Roy Brouwer & Trudy Ann Cameron & W. Michael Hanemann & Nick Hanley & Mandy Ryan & Riccardo Scarpa & Roger Tourangeau & Ch, 2017. "Contemporary Guidance for Stated Preference Studies," Journal of the Association of Environmental and Resource Economists, University of Chicago Press, vol. 4(2), pages 319-405.
    6. Uggeldahl, Kennet & Jacobsen, Catrine & Lundhede, Thomas Hedemark & Olsen, Søren Bøye, 2016. "Choice certainty in Discrete Choice Experiments: Will eye tracking provide useful measures?," Journal of choice modelling, Elsevier, vol. 20(C), pages 35-48.
    7. Chavez, Daniel E. & Palma, Marco A. & Nayga Jr., Rodolfo M., 2017. "When does real become consequential in non-hypothetical choice experiments?," 2018 Annual Meeting, February 2-6, 2018, Jacksonville, Florida 266327, Southern Agricultural Economics Association.
    8. Grebitus, Carola & Davis, George C., 2017. "Change is good!? Analyzing the relationship between attention and nutrition facts panel modifications," Food Policy, Elsevier, vol. 73(C), pages 119-130.
    9. Balcombe, Kelvin George & Bitzios, Michael & Fraser, Iain & Haddock-Fraser, Janet, 2013. "Using Attribute Importance Rankings within Discrete Choice Experiments: An Application to Valuing Bread Attributes," 2013 Conference (57th), February 5-8, 2013, Sydney, Australia 152151, Australian Agricultural and Resource Economics Society.
    10. Parveneh Shahnoori & Glenn P. Jenkins, 2015. "Value of E-Banking to Small and Medium-Sized Enterprises," Development Discussion Papers 2015-09, JDI Executive Programs.
    11. Krajbich Ian & Smith Stephanie M., 2015. "Modeling Eye Movements and Response Times in Consumer Choice," Journal of Agricultural & Food Industrial Organization, De Gruyter, vol. 13(1), pages 55-72, January.
    12. Leard, Benjamin, 2018. "Consumer inattention and the demand for vehicle fuel cost savings," Journal of choice modelling, Elsevier, vol. 29(C), pages 1-16.
    13. Inkyoung Hur & Sung-Hee Kim & Anya Samek & Ji Soo Yi, 2015. "An Experimental Study of Decision Process with Interactive Technology," Artefactual Field Experiments 00427, The Field Experiments Website.
    14. Macario Rodríguez‐Entrena & Anastasio J. Villanueva & José A. Gómez‐Limón, 2019. "Unraveling determinants of inferred and stated attribute nonattendance: Effects on farmers’ willingness to accept to join agri‐environmental schemes," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 67(1), pages 31-52, March.
    15. Takahashi, Ryo & Todo, Yasuyuki & Funaki, Yukihiko, 2018. "How Can We Motivate Consumers to Purchase Certified Forest Coffee? Evidence From a Laboratory Randomized Experiment Using Eye-trackers," Ecological Economics, Elsevier, vol. 150(C), pages 107-121.
    16. Renske J. Hoefman & Job Exel & Werner B. F. Brouwer, 2017. "Measuring Care-Related Quality of Life of Caregivers for Use in Economic Evaluations: CarerQol Tariffs for Australia, Germany, Sweden, UK, and US," PharmacoEconomics, Springer, vol. 35(4), pages 469-478, April.
    17. Sandorf, Erlend Dancke & Crastes dit Sourd, Romain & Mahieu, Pierre-Alexandre, 2018. "The effect of attribute-alternative matrix displays on preferences and processing strategies," Journal of choice modelling, Elsevier, vol. 29(C), pages 113-132.
    18. Parvaneh Shahnoori & Glenn P. Jenkins, 2018. "Valuation of the Quality Attributes of Online Banking Services by Small and Medium Enterprises Engaged in International Trade," Development Discussion Papers 2018-11, JDI Executive Programs.
    19. Rakotonarivo, O. Sarobidy & Jacobsen, Jette B. & Larsen, Helle O. & Jones, Julia P.G. & Nielsen, Martin R. & Ramamonjisoa, Bruno S. & Mandimbiniaina, Rina H. & Hockley, Neal, 2017. "Qualitative and Quantitative Evidence on the True Local Welfare Costs of Forest Conservation in Madagascar: Are Discrete Choice Experiments a Valid ex ante Tool?," World Development, Elsevier, vol. 94(C), pages 478-491.
    20. Thiene, Mara & Scarpa, Riccardo & Longo, Alberto & Hutchinson, William George, 2018. "Types of front of pack food labels: Do obese consumers care? Evidence from Northern Ireland," Food Policy, Elsevier, vol. 80(C), pages 84-102.
    21. Hongpeng Xu & Jing Li & Jianmei Wu & Jian Kang, 2019. "Evaluation of Wood Coverage on Building Facades Towards Sustainability," Sustainability, MDPI, Open Access Journal, vol. 11(5), pages 1-12, March.
    22. Jacob L. Orquin & Martin P. Bagger & Simone Mueller Loose, 2013. "Learning affects top down and bottom up modulation of eye movements in decision making," Judgment and Decision Making, Society for Judgment and Decision Making, vol. 8(6), pages 700-716, November.

  2. Areal, Francisco J & Balcombe, Kelvin & Rapsomanikis, George, 2013. "Testing for bubbles in agriculture commodity markets," MPRA Paper 48015, University Library of Munich, Germany.

    Cited by:

    1. Roman Kräussl & Thorsten Lehnert & Nicolas Martelin, 2014. "Is there a Bubble in the Art Market?," LSF Research Working Paper Series 14-07, Luxembourg School of Finance, University of Luxembourg.
    2. Etienne, Xiaoli L., 2015. "Financialization of Agricultural Commodity Markets: Do Financial Data Help to Forecast Agricultural Prices?," 2015 AAEA & WAEA Joint Annual Meeting, July 26-28, San Francisco, California 205124, Agricultural and Applied Economics Association.
    3. Itamar Caspi & Nico Katzke & Rangan Gupta, 2014. "Date stamping historical oil price bubbles: 1876 - 2014," Working Papers 20/2014, Stellenbosch University, Department of Economics.
    4. Butt, Muhammad Danial & Ahmed, Mumtaz, 2019. "Testing for Multiple Bubbles in Inflation for Pakistan," MPRA Paper 96705, University Library of Munich, Germany.
    5. Caramugan, Karlo Martin & Bayacag, Purisima, 2016. "Price Bubble in Selected ASEAN Agricultural Exports: An Application of the Generalized Supremum Augmented Dickey Fuller," MPRA Paper 74807, University Library of Munich, Germany.
    6. Moreno-Pérez, Olga M. & Marcossi, Gisele P.C. & Ortiz-Miranda, Dionisio, 2017. "Taking stock of the evolution of the biodiesel industry in Brazil: Business concentration and structural traits," Energy Policy, Elsevier, vol. 110(C), pages 525-533.
    7. Laurie Binge & Willem H Boshoff, 2016. "Modelling South African Art Prices: An analysis of post-2000 price behaviour," Working Papers 18/2016, Stellenbosch University, Department of Economics.
    8. Fatima, Hira & Ahmed, Mumtaz, 2019. "Testing for Exuberance Behavior in Agricultural Commodities of Pakistan," MPRA Paper 95304, University Library of Munich, Germany.
    9. Jeanne Diesteldorf & Sarah Meyer & Jan Voelzke, 2016. "New evidence for explosive behavior of commodity prices," CQE Working Papers 5016, Center for Quantitative Economics (CQE), University of Muenster.
    10. Fantazzini, Dean, 2016. "The oil price crash in 2014/15: Was there a (negative) financial bubble?," Energy Policy, Elsevier, vol. 96(C), pages 383-396.
    11. Rosa, Franco & Vasciaveo, Michela & Weaver, Robert D., 2014. "Agricultural and oil commodities: price transmission and market integration between US and Italy," Bio-based and Applied Economics Journal, Italian Association of Agricultural and Applied Economics (AIEAA), vol. 3(2), pages 1-25, August.
    12. Koy, Ayben, 2018. "Testing Multi Bubbles for Commodity Derivative Markets: A Study on MCX," Business and Economics Research Journal, Uludag University, Faculty of Economics and Administrative Sciences, vol. 9(2), pages 291-299, April.
    13. Caspi, Itamar & Katzke, Nico & Gupta, Rangan, 2018. "Date stamping historical periods of oil price explosivity: 1876–2014," Energy Economics, Elsevier, vol. 70(C), pages 582-587.

  3. Balcombe, Kelvin George & Bitzios, Michael & Fraser, Iain & Haddock-Fraser, Janet, 2012. "Using Attribute Importance Rankings within Discrete Choice Experiments: an application to Valuing Bread Attributes," 86th Annual Conference, April 16-18, 2012, Warwick University, Coventry, UK 134759, Agricultural Economics Society.

    Cited by:

    1. Kang, Moon Jeong & Siry, Jacek & Colson, Gregory J. & Ferreira, Susana, 2017. "Do Forest Property Characteristics Reveal Landowners’ Willingness to Accept Payment for Ecosystem Services Contracts?," 2017 Annual Meeting, July 30-August 1, Chicago, Illinois 258475, Agricultural and Applied Economics Association.
    2. Menegaki, Angeliki, N. & Olsen, Søren Bøye & Tsagarakis, Konstantinos P., 2016. "Towards a common standard – A reporting checklist for web-based stated preference valuation surveys and a critique for mode surveys," Journal of choice modelling, Elsevier, vol. 18(C), pages 18-50.
    3. Eeva ALHO, 2019. "Farmers’ Willingness To Invest In New Cooperative Instruments: A Choice Experiment," Annals of Public and Cooperative Economics, Wiley Blackwell, vol. 90(1), pages 161-186, March.
    4. Harmsen - van Hout, Marjolein & Ghosh, Gaurav & Madlener, Reinhard, 2013. "An Evaluation of Attribute Anchoring Bias in a Choice Experimental Setting," FCN Working Papers 6/2013, E.ON Energy Research Center, Future Energy Consumer Needs and Behavior (FCN).
    5. Caputo, Vincenzina & Scarpa, Riccardo & Nayga, Rodolfo M. & Ortega, David L., 2018. "Are preferences for food quality attributes really normally distributed? An analysis using flexible mixing distributions," Journal of choice modelling, Elsevier, vol. 28(C), pages 10-27.
    6. Oyinbo, O. & Maertens, M. & Chamberlin, J. & Vanlauwe, B. & Craufurd, P. & Kamara, A., 2018. "Maize Farmers Preferences for ICT-based extension services: Evidence from a Choice Experiment in Nigeria," 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia 277328, International Association of Agricultural Economists.
    7. Rebecca Owusu Coffie & Michael P. Burton & Fiona L. Gibson & Atakelty Hailu, 2016. "Choice of Rice Production Practices in Ghana: A Comparison of Willingness to Pay and Preference Space Estimates," Journal of Agricultural Economics, Wiley Blackwell, vol. 67(3), pages 799-819, September.
    8. Hayk Khachatryan & Alicia L. Rihn & Benjamin Campbell & Chengyan Yue & Charles Hall & Bridget Behe, 2017. "Visual Attention to Eco-Labels Predicts Consumer Preferences for Pollinator Friendly Plants," Sustainability, MDPI, Open Access Journal, vol. 9(10), pages 1-14, September.

  4. Salois, Matthew J. & Tiffin, J. Richard & Balcombe, Kelvin George, 2011. "Impact of Income on Calorie and Nutrient Intakes: A Cross-Country Analysis," 2011 Annual Meeting, July 24-26, 2011, Pittsburgh, Pennsylvania 103647, Agricultural and Applied Economics Association.

    Cited by:

    1. Smith, Lisa C., 2015. "The great Indian calorie debate: Explaining rising undernourishment during India’s rapid economic growth," Food Policy, Elsevier, vol. 50(C), pages 53-67.

  5. Balcombe, Kelvin & Tiffin, R, 2010. "The Determinants of Technology Adoption by UK Farmers using Bayesian Model Averaging. The Cases of Organic Production and Computer Usage," MPRA Paper 25193, University Library of Munich, Germany.

    Cited by:

    1. Bartosz Bartkowski & Stephan Bartke, 2018. "Leverage Points for Governing Agricultural Soils: A Review of Empirical Studies of European Farmers’ Decision-Making," Sustainability, MDPI, Open Access Journal, vol. 10(9), pages 1-27, September.
    2. Daniele Mozzato & Paola Gatto & Edi Defrancesco & Lucia Bortolini & Francesco Pirotti & Elena Pisani & Luigi Sartori, 2018. "The Role of Factors Affecting the Adoption of Environmentally Friendly Farming Practices: Can Geographical Context and Time Explain the Differences Emerging from Literature?," Sustainability, MDPI, Open Access Journal, vol. 10(9), pages 1-23, August.

  6. Areal, Francisco J & Balcombe, Kelvin & Tiffin, R, 2010. "Integrating spatial dependence into stochastic frontier analysis," MPRA Paper 24961, University Library of Munich, Germany.

    Cited by:

    1. Ang, Frederic & Jan Kerstens, Pieter, 2016. "To mix or specialise? A coordination productivity indicator for English and Welsh farms," 90th Annual Conference, April 4-6, 2016, Warwick University, Coventry, UK 236337, Agricultural Economics Society.
    2. MCarmen Martínez†Victoria & Mariluz Maté Sánchez†Val & Narciso Arcas†Lario, 2018. "Spatial determinants of productivity growth on agri†food Spanish firms: a comparison between cooperatives and investor†owned firms," Agricultural Economics, International Association of Agricultural Economists, vol. 49(2), pages 213-223, March.
    3. Pede, Valerien O. & McKinley, Justin & Singbo, Alphonse & Kajisa, Kei, 2015. "Spatial Dependency of Technical Efficiency in Rice Farming: The Case of Bohol, Philippines," 2015 AAEA & WAEA Joint Annual Meeting, July 26-28, San Francisco, California 205456, Agricultural and Applied Economics Association.
    4. Zenaida M Sumalde & Donald B. Villanueva & Valerien O Pede & Yolanda T Garcia & U-Primo E Rodriguez, 2017. "Assessment of Neighborhood and Spillover Effects on Technical Efficiency of Irrigated Rice Farmers," Asian Journal of Agriculture and Development, Southeast Asian Regional Center for Graduate Study and Research in Agriculture (SEARCA), vol. 14(2), pages 103-125, December.
    5. A. G. Billé & C. Salvioni & R. Benedetti, 2018. "Modelling spatial regimes in farms technologies," Journal of Productivity Analysis, Springer, vol. 49(2), pages 173-185, June.
    6. Vidoli, Francesco & Cardillo, Concetta & Fusco, Elisa & Canello, Jacopo, 2016. "Spatial nonstationarity in the stochastic frontier model: An application to the Italian wine industry," Regional Science and Urban Economics, Elsevier, vol. 61(C), pages 153-164.
    7. Valerien O. Pede & Francisco J. Areal & Alphonse Singbo & Justin McKinley & Kei Kajisa, 2018. "Spatial dependency and technical efficiency: an application of a Bayesian stochastic frontier model to irrigated and rainfed rice farmers in Bohol, Philippines," Agricultural Economics, International Association of Agricultural Economists, vol. 49(3), pages 301-312, May.
    8. Orea, Luis & Álvarez, Inmaculada C., 2017. "A new stochastic frontier model with cross-sectional effects in both noise and inefficiency terms," Efficiency Series Papers 2017/04, University of Oviedo, Department of Economics, Oviedo Efficiency Group (OEG).
    9. Federico Belotti & Giuseppe Ilardi & Andrea Piano Mortari, 2019. "Estimation of Stochastic Frontier Panel Data Models with Spatial Inefficiency," CEIS Research Paper 459, Tor Vergata University, CEIS, revised 30 May 2019.
    10. Cavalieri, M.; Di Caro, P.; Guccio, C.; Lisi, D.;, 2017. "Does neighbour’s grass matter? Exploring spatial dependent heterogeneity in technical efficiency of Italian hospitals," Health, Econometrics and Data Group (HEDG) Working Papers 17/13, HEDG, c/o Department of Economics, University of York.

  7. Salois, Matthew & Tiffin, Richard & Balcombe, Kelvin, 2010. "Calorie and Nutrient Consumption as a Function of Income: A Cross-Country Analysis," MPRA Paper 24726, University Library of Munich, Germany.

    Cited by:

    1. Phiri, Andrew & Dube, Wisdom, 2014. "Nutrition and economic growth in South Africa: A momentum threshold autoregressive (MTAR) approach," MPRA Paper 52950, University Library of Munich, Germany.
    2. Tukae Mbegalo & Xiaohua Yu, 2016. "The Impact of Food Prices on Household Welfare and Poverty in Rural Tanzania," Courant Research Centre: Poverty, Equity and Growth - Discussion Papers 216, Courant Research Centre PEG.

  8. Areal, Francisco J & Tiffin, Richard & Balcombe, Kelvin, 2010. "Provision of an environmental output within a multi-output distance function approach," MPRA Paper 25051, University Library of Munich, Germany.

    Cited by:

    1. Jerzy Marzec & Andrzej Pisulewski, 2015. "Analysis of the Economic Activity of Dairy Farms in Poland: Results obtained from the Short-run Cost Function," Collegium of Economic Analysis Annals, Warsaw School of Economics, Collegium of Economic Analysis, issue 39, pages 167-182.
    2. Czekaj, Tomasz G., 2015. "Measuring the Technical Efficiency of Farms Producing Environmental Output: Semiparametric Estimation of Multi-output Stochastic Ray Production Frontiers," 2015 Conference, August 9-14, 2015, Milan, Italy 211555, International Association of Agricultural Economists.
    3. Ang, Frederic & Mortimer, Simon & Areal, Francisco & Tiffin, Richard, 2015. "The Impact of Dynamic Profit Maximization on Biodiversity: A Network DEA Application to UK Cereal Farms," 2015 AAEA & WAEA Joint Annual Meeting, July 26-28, San Francisco, California 205857, Agricultural and Applied Economics Association.
    4. Ang, Frederic & Oude Lansink, Alfons, 2014. "Dynamic Profit Inefficiency: A DEA Application to Belgian Dairy Farms," Working Papers 165693, Katholieke Universiteit Leuven, Centre for Agricultural and Food Economics.
    5. Jerzy Marzec & Andrzej Pisulewski, 2017. "The Effect of CAP Subsidies on the Technical Efficiency of Polish Dairy Farms," Central European Journal of Economic Modelling and Econometrics, CEJEME, vol. 9(3), pages 243-273, September.
    6. Barnes, Andrew Peter, 2012. "A method for constructing an index of sustainable intensification within the developed country context," Working Papers 131466, Scotland's Rural College (formerly Scottish Agricultural College), Land Economy & Environment Research Group.
    7. Lisandro Roco & Boris Bravo-Ureta & Alejandra Engler & Roberto Jara-Rojas, 2017. "The Impact of Climatic Change Adaptation on Agricultural Productivity in Central Chile: A Stochastic Production Frontier Approach," Sustainability, MDPI, Open Access Journal, vol. 9(9), pages 1-16, September.
    8. Frederic Ang & Simon M. Mortimer & Francisco J. Areal & Richard Tiffin, 2018. "On the Opportunity Cost of Crop Diversification," Journal of Agricultural Economics, Wiley Blackwell, vol. 69(3), pages 794-814, September.
    9. Tomasz Gerard Czekaj, 2013. "Measuring the Technical Efficiency of Farms Producing Environmental Output: Parametric and Semiparametric Estimation of Multi-output Stochastic Ray Production Frontiers," IFRO Working Paper 2013/21, University of Copenhagen, Department of Food and Resource Economics.

  9. Balcombe, Kelvin, 2009. "The Nature and Determinants of Volatility in Agricultural Prices," MPRA Paper 24819, University Library of Munich, Germany.

    Cited by:

    1. Andrea Bastianin & Marzio Galeotti & Matteo Manera, 2013. "Food versus Fuel: Causality and Predictability in Distribution," Working Papers 2013.23, Fondazione Eni Enrico Mattei.
    2. Serra, Teresa, 2012. "Biofuel-related price volatility literature: a review and new approaches," 2012 Conference, August 18-24, 2012, Foz do Iguacu, Brazil 126057, International Association of Agricultural Economists.
    3. Ott, Herve, 2012. "Which factors drive which volatility in the grain sector?," 123rd Seminar, February 23-24, 2012, Dublin, Ireland 122486, European Association of Agricultural Economists.
    4. Philip Abbott, 2014. "Biofuels, Binding Constraints, and Agricultural Commodity Price Volatility," NBER Chapters, in: The Economics of Food Price Volatility, pages 91-131, National Bureau of Economic Research, Inc.
    5. Alexandros SARRIS, 2014. "Options for Developing Countries to Deal with Global Food Commodity Market Volatility," Working Papers P98, FERDI.
    6. Jebabli, Ikram & Arouri, Mohamed & Teulon, Frédéric, 2014. "On the effects of world stock market and oil price shocks on food prices: An empirical investigation based on TVP-VAR models with stochastic volatility," Energy Economics, Elsevier, vol. 45(C), pages 66-98.
    7. Phillip A. Cartwright & Natalija Riabko, 2016. "Further evidence on the explanatory power of spot food and energy commodities market prices for futures prices," Review of Quantitative Finance and Accounting, Springer, vol. 47(3), pages 579-605, October.
    8. Abdelradi, Fadi & Serra, Teresa, 2015. "Food–energy nexus in Europe: Price volatility approach," Energy Economics, Elsevier, vol. 48(C), pages 157-167.
    9. Luna Méndez, Nexeai & Jaramillo Villanueva, José Luis & Ramírez Juárez, Javier, 2016. "Factores explicativos de la disposición a pagar por atributos culturales en nuez de Castilla," Economia Agraria y Recursos Naturales, Spanish Association of Agricultural Economists, vol. 16(01), June.
    10. Alexandros SARRIS, 2014. "Options for Developing Countries to Deal with Global Food Commodity Market Volatility," Working Papers P98, FERDI.
    11. Roehlano M. Briones & Jesus Felipe, 2016. "Agriculture and Structural Transformation in Developing Asia: Review and Outlook," Working Papers id:8696, eSocialSciences.
    12. Massimo Peri, 2017. "Climate variability and the volatility of global maize and soybean prices," Food Security: The Science, Sociology and Economics of Food Production and Access to Food, Springer;The International Society for Plant Pathology, vol. 9(4), pages 673-683, August.
    13. Tharcisse NKUNZIMANA & François Kayitakire, 2013. "Measuring food price volatility and transmission in West Africa: How important are magnitudes of transmission across cereals and countries?," EcoMod2013 5219, EcoMod.
    14. Areal, Francisco José & Balcombe, Kevin & Rapsomanikis, George, 2016. "Testing for bubbles in agriculture commodity markets," Economia Agraria y Recursos Naturales, Spanish Association of Agricultural Economists, vol. 16(01), June.
    15. Deborah Bentivoglio & Adele Finco & Mirian Rumenos Piedade Bacchi, 2016. "Interdependencies between Biofuel, Fuel and Food Prices: The Case of the Brazilian Ethanol Market," Energies, MDPI, Open Access Journal, vol. 9(6), pages 1-16, June.
    16. Santeramo, Fabio Gaetano & Lamonaca, Emilia & Contò, Francesco & Stasi, Antonio & Nardone, Gianluca, 2017. "Drivers of grain price volatility: a cursory critical review," MPRA Paper 79427, University Library of Munich, Germany.
    17. Wanti Fitrianti & Yusman Syaukat & Sri Hartoyo & Anna Fariyanti, 2019. "The Spillover Effect of Shocks of Fundamental Factors and Speculative Activity on Prices Volatility of World Vegetable Oil," International Journal of Economics and Financial Issues, Econjournals, vol. 9(2), pages 230-240.
    18. Serra, Teresa & Gil, Jose Maria, 2012. "Price volatility in food markets: can stock building mitigate price fluctuations?," 2012 Conference, August 18-24, 2012, Foz do Iguacu, Brazil 126055, International Association of Agricultural Economists.
    19. Xiarchos, Irene M. & Burnett, J. Wesley & Kucher, Oleg, 2012. "Energy and Speculation: New Dynamics in Agricultural Commodity Price Volatility," 2012 Annual Meeting, August 12-14, 2012, Seattle, Washington 124788, Agricultural and Applied Economics Association.
    20. Matthias Kalkuhl & Lukas Kornher & Matthias Kalkuhl & Irfan Mujahid, 2015. "Food price volatility in developing countries – the role of trade and storage," EcoMod2015 8415, EcoMod.
    21. Caramugan, Karlo Martin & Bayacag, Purisima, 2016. "Price Bubble in Selected ASEAN Agricultural Exports: An Application of the Generalized Supremum Augmented Dickey Fuller," MPRA Paper 74807, University Library of Munich, Germany.
    22. Listorti, Giulia & Esposti, Roberto, 2012. "Horizontal Price Transmission in Agricultural Markets: Fundamental Concepts and Open Empirical Issues," Bio-based and Applied Economics Journal, Italian Association of Agricultural and Applied Economics (AIEAA), vol. 1(1), pages 1-28, April.
    23. Klimkowski, Cezary, 2016. "Common agriculture policy and price stabilisation – the case of wheat market," Rural Areas and Development, European Rural Development Network (ERDN), vol. 13, pages 1-14.
    24. Philip Abbott, 2013. "Biofuels, Binding Constraints and Agricultural Commodity Price Volatility," NBER Working Papers 18873, National Bureau of Economic Research, Inc.
    25. Maitre d'Hotel, Elodie & le Cotty, Tristan & Jayne, Thomas S., 2012. "Is A Public Regulation Of Food Price Volatility Feasible In Africa? An Arch Approach In Kenya," 123rd Seminar, February 23-24, 2012, Dublin, Ireland 122551, European Association of Agricultural Economists.
    26. Emiliano Magrini & Ayca Donmez, 2013. "Agricultural Commodity Price Volatility and Its Macroeconomic Determinants: A GARCH-MIDAS Approach," JRC Working Papers JRC84138, Joint Research Centre (Seville site).
    27. Troester, Bernhard & Staritz, Cornelia, 2013. "Fundamentals or financialisation of commodity markets: What determines recent wheat prices?," Working Papers 43, Österreichische Forschungsstiftung für Internationale Entwicklung (ÖFSE) / Austrian Foundation for Development Research.
    28. Saghaian, Sayed & Nemati, Mehdi & Walters, Cory & Chen, Bo, 2018. "Asymmetric Price Volatility Transmission between U.S. Biofuel, Corn, and Oil Markets," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 43(1), January.
    29. Baldi, Lucia & Peri, Massimo & Vandone, Daniela, 2016. "Financial Markets and Agricultural Commodities: Volatility Impulse Response Analysis," 2016 International European Forum (151st EAAE Seminar), February 15-19, 2016, Innsbruck-Igls, Austria 244461, International European Forum on System Dynamics and Innovation in Food Networks.
    30. Kelbore, Zerihun Getachew, 2013. "A Comparison of World and Domestic Price Volatilities of Oilseeds: Evidence from Ethiopia," MPRA Paper 62816, University Library of Munich, Germany, revised 15 Apr 2015.
    31. Rosa, Franco & Vasciaveo, Michela & Weaver, Robert D., 2014. "Agricultural and oil commodities: price transmission and market integration between US and Italy," Bio-based and Applied Economics Journal, Italian Association of Agricultural and Applied Economics (AIEAA), vol. 3(2), pages 1-25, August.
    32. Serra, Teresa & Zilberman, David, 2013. "Biofuel-related price transmission literature: A review," Energy Economics, Elsevier, vol. 37(C), pages 141-151.
    33. Bakucs, Lajos Zoltan & Jambor, Attila, 2014. "Consumer price volatility in the New Member States: Insights from the agri-food sector," 142nd Seminar, May 29-30, 2014, Budapest, Hungary 169793, European Association of Agricultural Economists.
    34. Ojogho, Osaihiomwan & Egware, Robert Awotu, 2015. "Price Generating Process And Volatility In Nigerian Agricultural Commodities Market," International Journal of Food and Agricultural Economics (IJFAEC), Alanya Alaaddin Keykubat University, Department of Economics and Finance, vol. 3(4), pages 1-10, October.

  10. Kelvin Balcombe & Aurelia Samuel & Iain Fraser, 2009. "Estimating WTP With Uncertainty Choice Contingent Valuation," Studies in Economics 0921, School of Economics, University of Kent.

    Cited by:

    1. Kehlbacher, A. & Bennett, R. & Balcombe, K., 2012. "Measuring the consumer benefits of improving farm animal welfare to inform welfare labelling," Food Policy, Elsevier, vol. 37(6), pages 627-633.
    2. Pierre-Alexandre Mahieu & Pere Riera & Bengt Kriström & Runar Brännlund & Marek Giergiczny, 2014. "Exploring the determinants of uncertainty in contingent valuation surveys," Journal of Environmental Economics and Policy, Taylor & Francis Journals, vol. 3(2), pages 186-200, July.

  11. Kelvin Balcombe & Iain Fraser & Salvatore Di Falco, 2009. "Traffic Lights and Food Choice: A Choice Experiment Examining the Relationship Between Nutritional Food Labels and Price," Studies in Economics 0915, School of Economics, University of Kent.

    Cited by:

    1. Debra Van Camp & Diogo M. de Souza Monteiro & Neal H. Hooker, 2012. "Stop or go? How is the UK food industry responding to front-of-pack nutrition labels?," European Review of Agricultural Economics, Foundation for the European Review of Agricultural Economics, vol. 39(5), pages 821-842, December.
    2. Berning, Joshua P. & Sprott, David E., 2011. "Examining the Effectiveness of Nutrition Information in a Simulated Shopping Environment," Journal of Food Distribution Research, Food Distribution Research Society, vol. 42(3), pages 1-17, November.
    3. Pomeranz, Jennifer L. & Wilde, Parke & Mozaffarian, Dariush & Micha, Renata, 2019. "Mandating front-of-package food labels in the U.S. – What are the First Amendment obstacles?," Food Policy, Elsevier, vol. 86(C), pages 1-1.
    4. Øvrum, Arnstein & Alfnes, Frode & Almli, Valérie L. & Rickertsen, Kyrre, 2012. "Health information and diet choices: Results from a cheese experiment," Food Policy, Elsevier, vol. 37(5), pages 520-529.
    5. Jisung Jo & Jayson L. Lusk & Laurent Muller & Bernard Ruffieux, 2016. "Value of parsimonious nutritional information in a framed field experiment," Post-Print hal-01458424, HAL.
    6. Michalopoulos, T. & Hogeveen, H. & Heuvelink, E. & Oude Lansink, A.G.J.M., 2013. "Public multi-criteria assessment for societal concerns and gradual labelling," Food Policy, Elsevier, vol. 40(C), pages 97-108.
    7. Pallante, Giacomo & Drucker, Adam G. & Sthapit, Sajal, 2016. "Assessing the potential for niche market development to contribute to farmers' livelihoods and agrobiodiversity conservation: Insights from the finger millet case study in Nepal," Ecological Economics, Elsevier, vol. 130(C), pages 92-105.
    8. Andy Grinnall & Simon Burnett, 2015. "First Catch Your Fish: Designing a “Low Energy Fish” Label," Sustainability, MDPI, Open Access Journal, vol. 7(5), pages 1-16, May.
    9. Defago, Daniel & Geng, José F. & Molina, Oswaldo & Santa María, Diego, 2017. "Digestible information: The impact of Multiple Traffic Light nutritional labeling in a developing country," MPRA Paper 79678, University Library of Munich, Germany.
    10. S. Marette & L. Nabec & F. Durieux, 2019. "Improving Nutritional Quality of Consumers’ Food Purchases With Traffic-Lights Labels: An Experimental Analysis," Journal of Consumer Policy, Springer, vol. 42(3), pages 377-395, September.
    11. Xavier Irz & Mario Mazzocchi & Vincent Requillart & Louis-Georges Soler, 2015. "Research in Food Economics: past trends and new challenges," Post-Print hal-01884941, HAL.
    12. Balogh, Péter & Békési, Dániel & Gorton, Matthew & Popp, József & Lengyel, Péter, 2016. "Consumer willingness to pay for traditional food products," Food Policy, Elsevier, vol. 61(C), pages 176-184.
    13. Allen, S. & Goddard, E., 2018. "The Effectiveness of High Sugar Warning Labels on Breakfast Cereals," 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia 275885, International Association of Agricultural Economists.
    14. Y. Gómez & V. Martínez-Molés & J. Vila, 2016. "Spanish regulation for labeling of financial products: a behavioral-experimental analysis," Economia Politica: Journal of Analytical and Institutional Economics, Springer;Fondazione Edison, vol. 33(3), pages 355-378, December.
    15. Jacobson, Michael & Shr, Yau-Huo & Dalemans, Floris & Magaju, Christine & Ciannella, Rodrigo, 2018. "Using a choice experiment approach to assess production tradeoffs for developing the croton value chain in Kenya," Forest Policy and Economics, Elsevier, vol. 86(C), pages 76-85.
    16. Balcombe, Kelvin George & Bitzios, Michael & Fraser, Iain & Haddock-Fraser, Janet, 2013. "Using Attribute Importance Rankings within Discrete Choice Experiments: An Application to Valuing Bread Attributes," 2013 Conference (57th), February 5-8, 2013, Sydney, Australia 152151, Australian Agricultural and Resource Economics Society.
    17. Erdem, Seda & McCarthy, Tony, 2016. "The effect of front-of-pack nutrition labelling formats on consumers’ food choices and decision-making: merging discrete choice experiment with an eye tracking experiment," 2016 Annual Meeting, July 31-August 2, Boston, Massachusetts 235864, Agricultural and Applied Economics Association.
    18. Sauthoff, Saramena & Danne, Michael & Mußhoff, Oliver, 2017. "To switch or not to switch? Understanding German consumers' willingness to pay for green electricity tariff attributes," DARE Discussion Papers 1707, Georg-August University of Göttingen, Department of Agricultural Economics and Rural Development (DARE).
    19. Onozaka, Yuko & Lind Melbye, Elisabeth & Hansen, Havard, 2012. "What If You Stop and Think About it? Nutrition Logos and Product Selection Behavior," 2012 Annual Meeting, August 12-14, 2012, Seattle, Washington 124874, Agricultural and Applied Economics Association.
    20. Crosetto, P. & Lacroix, A. & Muller, L. & Ruffieux, B., 2018. "Nutritional and economic impact of 5 alternative front-of-pack nutritional labels: experimental evidence," Working Papers 2018-11, Grenoble Applied Economics Laboratory (GAEL).
    21. Cerroni, S. & Watson, V. & Macdiarmid, J., 2018. "Preferences for healthy and environmentally sustainable food: Combining induced-value and home-grown experiments," 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia 277155, International Association of Agricultural Economists.
    22. Alessia CAVALIERE & Elisa DE MARCHI & Alessandro BANTERLE, 2013. "Time preference and health: the problem of obesity," Departmental Working Papers 2013-13, Department of Economics, Management and Quantitative Methods at Università degli Studi di Milano.
    23. Boeri, Marco & Brown, Hannah & Longo, Alberto, 2014. "The implications across Europe of the ‘horse meat scandal’ on the monetary value of meat authenticity and food safety in ready to heat lasagne: evidence from six countries," 2014 International Congress, August 26-29, 2014, Ljubljana, Slovenia 182830, European Association of Agricultural Economists.
    24. Edenbrandt, Anna Kristina & Smed, Sinne, 2018. "Exploring the correlation between self-reported preferences and actual purchases of nutrition labeled products," Food Policy, Elsevier, vol. 77(C), pages 71-80.
    25. Angela Tarabella & Lelia Voinea, 2013. "Advantages and Limitations of the Front-of-Package (FOP) Labeling Systems in Guiding the Consumers’ Healthy Food Choice," The AMFITEATRU ECONOMIC journal, Academy of Economic Studies - Bucharest, Romania, vol. 15(33), pages 198-209, February.
    26. Laurent Muller & Anne Lacroix & Bernard Ruffieux, 2019. "Environmental Labelling and Consumption Changes: A Food Choice Experiment," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 73(3), pages 871-897, July.
    27. Balcombe, Kelvin & Bradley, Dylan & Fraser, Iain & Hussein, Mohamud, 2016. "Consumer preferences regarding country of origin for multiple meat products," Food Policy, Elsevier, vol. 64(C), pages 49-62.
    28. Lelia Voinea & Diana Maria Vrânceanu & Alina Filip & Dorin Vicențiu Popescu & Teodor Mihai Negrea & Răzvan Dina, 2019. "Research on Food Behavior in Romania from the Perspective of Supporting Healthy Eating Habits," Sustainability, MDPI, Open Access Journal, vol. 11(19), pages 1-26, September.
    29. Becker, Mark W. & Bello, Nora M. & Sundar, Raghav P. & Peltier, Chad & Bix, Laura, 2015. "Front of pack labels enhance attention to nutrition information in novel and commercial brands," Food Policy, Elsevier, vol. 56(C), pages 76-86.
    30. Hoefkens, Christine & Veettil, Prakashan Chellattan & Van Huylenbroeck, Guido & Van Camp, John & Verbeke, Wim, 2012. "What nutrition label to use in a catering environment? A discrete choice experiment," Food Policy, Elsevier, vol. 37(6), pages 741-750.
    31. Wang, Emily Y. & Wei, Hongli & Caswell, Julie A., 2016. "The impact of mandatory trans fat labeling on product mix and consumer choice: A longitudinal analysis of the U.S. Market for margarine and spreads," Food Policy, Elsevier, vol. 64(C), pages 63-81.
    32. Spinks, Jean & Mortimer, Duncan, 2015. "The effect of traffic lights and regulatory statements on the choice between complementary and conventional medicines in Australia: Results from a discrete choice experiment," Social Science & Medicine, Elsevier, vol. 124(C), pages 257-265.
    33. Thiene, Mara & Scarpa, Riccardo & Longo, Alberto & Hutchinson, William George, 2018. "Types of front of pack food labels: Do obese consumers care? Evidence from Northern Ireland," Food Policy, Elsevier, vol. 80(C), pages 84-102.
    34. Thiene, Mara & Scarpa, Riccardo & Longo, Alberto & Hutchinson, George, "undated". "Front of Pack Food Labels and dietary choice determinants: what works and for whom?," 2017 Annual Meeting, July 30-August 1, Chicago, Illinois 261225, Agricultural and Applied Economics Association.
    35. Cavaliere, Alessia & De Marchi, Elisa & Banterle, Alessandro, 2013. "Time Preference and Health: The Problem of Obesity," 2013 International European Forum, February 18-22, 2013, Innsbruck-Igls, Austria 164754, International European Forum on System Dynamics and Innovation in Food Networks.
    36. Hellyer, Nicole Elizabeth & Fraser, Iain & Haddock-Fraser, Janet, 2012. "Food choice, health information and functional ingredients: An experimental auction employing bread," Food Policy, Elsevier, vol. 37(3), pages 232-245.

  12. Balcombe, Kelvin George & Davidova, Sophia & Latruffe, Laure, 2006. "The Use of Bootstrapped Malmquist Indices to Reassess Productivity Change Findings: An Application to a Sample of Polish Farms," 2006 Annual Meeting, August 12-18, 2006, Queensland, Australia 25793, International Association of Agricultural Economists.

    Cited by:

    1. Sethi, Amarjit Singh, 2016. "Sources of Growth in India: Evidence from Punjab and Haryana," Journal of Regional Development and Planning, Rajarshi Majumder, vol. 5(1), pages 15-34.
    2. Liu, John S. & Lu, Louis Y.Y. & Lu, Wen-Min & Lin, Bruce J.Y., 2013. "Data envelopment analysis 1978–2010: A citation-based literature survey," Omega, Elsevier, vol. 41(1), pages 3-15.
    3. Bruno De Borger & Kristiaan Kerstens & Diego Prior & Ignace Van de Woestyne, 2012. "Static efficiency decompositions and capacity utilization: integrating economic and technical capacity notions," Applied Economics, Taylor & Francis Journals, vol. 44(31), pages 4125-4141, November.
    4. Assaf, A. George & Gillen, David & Barros, Carlos, 2012. "Performance assessment of UK airports: Evidence from a Bayesian dynamic frontier model," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 48(3), pages 603-615.
    5. Olson, Kent D. & Vu, Linh, 2009. "Productivity Growth, Technical Efficiency and Technical Change on Minnesota Farms," 2009 Annual Meeting, July 26-28, 2009, Milwaukee, Wisconsin 49204, Agricultural and Applied Economics Association.
    6. Arjomandi, Amir & Valadkhani, Abbas & Harvie, Charles, 2011. "Analysing Productivity Changes Using the Bootstrapped Malmquist Approach: The Case of the Iranian Banking Industry," MPRA Paper 50397, University Library of Munich, Germany.
    7. Rodrigo Taborda & Julieth Santamaría, 2011. "Productivity growth in electric energy retail in Colombia. A bootstrapped malmquist indices approach," Documentos de Trabajo 009152, Universidad del Rosario.
    8. Tomas Baležentis, 2014. "Total factor productivity in the Lithuanian family farms after accession to the EU: application of the bias-corrected Malmquist indices," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 41(4), pages 731-746, November.
    9. Baležentis, Tomas & De Witte, Kristof, 2015. "One- and multi-directional conditional efficiency measurement – Efficiency in Lithuanian family farms," European Journal of Operational Research, Elsevier, vol. 245(2), pages 612-622.
    10. A. Assaf, 2011. "Accounting for technological differences in modelling the performance of airports: a Bayesian approach," Applied Economics, Taylor & Francis Journals, vol. 43(18), pages 2267-2275.
    11. Aleksandra Parteka & Joanna Wolszczak-Derlacz, 2013. "Dynamics of productivity in higher education: cross-european evidence based on bootstrapped Malmquist indices," Journal of Productivity Analysis, Springer, vol. 40(1), pages 67-82, August.
    12. Mad Ithnin Salleh & Nurul Fadly Habidin & Abdul Halim Masnan & Nordin Mamat, 2017. "Estimating Technical Efficiency and Bootstrapping Malmquist Indices: Analysis of Malaysian Preschool Sector," International Journal of Academic Research in Business and Social Sciences, Human Resource Management Academic Research Society, International Journal of Academic Research in Business and Social Sciences, vol. 7(3), pages 440-457, March.

  13. Balcombe, Kelvin George & Davidova, Sophia & Latruffe, Laure, 2005. "Productivity Change in Polish Agriculture: An Application of a Bootstrap Procedure to Malmquist Indices," 2005 International Congress, August 23-27, 2005, Copenhagen, Denmark 24572, European Association of Agricultural Economists.

    Cited by:

    1. Latruffe, Laure & Fogarasi, Jozsef, 2009. "Farm performance and support in Central and Western Europe: A comparison of Hungary and France," Working Papers 210400, Institut National de la recherche Agronomique (INRA), Departement Sciences Sociales, Agriculture et Alimentation, Espace et Environnement (SAE2).
    2. Fekete-Farkas, Maria & Szucs, Istvan & Varga, Tibor, 2012. "Technological progress and efficiency change In Hungarian Agriculture," 2012 Conference, August 18-24, 2012, Foz do Iguacu, Brazil 126120, International Association of Agricultural Economists.
    3. Kostlivý, V. & Fuksová, Z. & Dubec, J., 2017. "Farms Productivity Developments Based on Malmquist Production Indices," AGRIS on-line Papers in Economics and Informatics, Czech University of Life Sciences Prague, Faculty of Economics and Management, vol. 9(2), June.

  14. Gillson, I & Poulton, Colin & Balcombe, Kelvin & Page, S, 2004. "Understanding the impact of Cotton Subsidies on developing countries," MPRA Paper 15373, University Library of Munich, Germany.

    Cited by:

    1. Gadanakis, Yiorgos & Baourakis, George & Clapan, Carmen, 2007. "Measuring the impacts of distortions in the European Union cotton sector: a partial equilibrium analysis using the ATPSM model framework," Working Papers 7285, TRADEAG - Agricultural Trade Agreements.
    2. Orden, David & Salam, Abdul & Dewina, Reno & Nazli, Hina & Minot, Nicholas, 2006. "The Impact of Global Cotton Markets on Rural Poverty in Pakistan," 2006 Annual meeting, July 23-26, Long Beach, CA 21381, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    3. Kohnert, Dirk, 2006. "Vom Nutzen afrikanischer Zuwanderer für Europa. Wende in der EU-Einwanderungspolitik?
      [On the benefit of African immigration to Europe. Turn in the EU immigration policy?]
      ," MPRA Paper 1064, University Library of Munich, Germany.
    4. Hazell, Peter & Poulton, Colin & Wiggins, Steve & Dorward, Andrew, 2010. "The Future of Small Farms: Trajectories and Policy Priorities," World Development, Elsevier, vol. 38(10), pages 1349-1361, October.
    5. Catherine Araujo Bonjean & Stéphane Calipel & Fousseini Traore, 2011. "L'impact des aides américaines et européennes sur le marché du coton : résultats d'un modèle d'équilibre partiel dynamique," Working Papers halshs-00564570, HAL.
    6. Addison, Tony, 2005. "Post-Conflict Recovery: Does the Global Economy Work for Peace?," WIDER Working Paper Series DP2005/05, World Institute for Development Economic Research (UNU-WIDER).
    7. Wang, Ping & Kinnucan, Henry W. & Duffy, Patricia A., 2017. "Effects of China's Rising Labor Costs on the World Cotton Market," 2017 Annual Meeting, July 30-August 1, Chicago, Illinois 258431, Agricultural and Applied Economics Association.
    8. Jeffrey D. Vitale & Hamady Djourra & Aminata Sidibé, 2009. "Estimating the supply response of cotton and cereal crops in smallholder production systems: recent evidence from Mali," Agricultural Economics, International Association of Agricultural Economists, vol. 40(5), pages 519-533, September.
    9. Ilhem Baghdadli & Hela Cheikhrouhou & Gael Raballand, 2007. "Strategies for Cotton in West and Central Africa : Enhancing Competitiveness in the "Cotton 4"," World Bank Publications, The World Bank, number 6784, January.
    10. Shepherd, Ben, 2006. "Estimating Price Elasticities of Supply for Cotton: A Structural Time-Series Approach," MPRA Paper 1252, University Library of Munich, Germany.
    11. Delpeuch, Claire, 2011. "African cotton markets at crossroads : will the price spike turn into a new kick-start ?," Policy Research Working Paper Series 5847, The World Bank.
    12. Shepherd, Ben & Delpeuch, Claire, 2007. "Subsidies and regulatory reform in West African cotton: What are the development stakes?," MPRA Paper 2289, University Library of Munich, Germany.
    13. Cororaton, Caesar B. & Orden, David, 2008. "Pakistan's cotton and textile economy: Intersectoral linkages and effects on rural and urban poverty," Research reports 158, International Food Policy Research Institute (IFPRI).
    14. Vitale, Jeffrey D. & Sanders, John H., 2005. "Estimating the Impacts of Liberalization in West Africa: The Malian Case," 2005 Annual meeting, July 24-27, Providence, RI 19481, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    15. Blasco, Lorea Barron & Devadoss, Stephen & Stodick, Leroy, 2006. "The Doha Round Declaration on Cotton: A Catalyst for Poverty Reduction in Africa?," 2006 Annual meeting, July 23-26, Long Beach, CA 21161, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    16. Traoré, Fousseini, 2013. "Estimating the supply elasticity of cotton in Mali with the Nerlove Model: A bayesian method of moments approach," Review of Agricultural and Environmental Studies - Revue d'Etudes en Agriculture et Environnement (RAEStud), Institut National de la Recherche Agronomique (INRA), vol. 94(3).

  15. Laure Latruffe & Kelvin Balcombe & Sophia Davidova & Katarzyna Zawalinska, 2004. "Determinants of technical efficiency of crop and livestock farms in Poland," Post-Print hal-02360570, HAL.

    Cited by:

    1. Kashfi, Hamed & Yazdani, Ahmad Reza & Bidabadi, Farhad Shirani & Latifi, Mehrdad, 2012. "The Effect of Socio-Personal Factors on Economic and Managerial Variables in Shahroud Commercial Dairy Farms," International Journal of Agricultural Management and Development (IJAMAD), Iranian Association of Agricultural Economics, vol. 2(2), pages 1-6, June.
    2. Cechura, Lukas & Hockmann, Heinrich, 2011. "Efficiency and Heterogeneity in Czech Food Processing Industry," 2011 International Congress, August 30-September 2, 2011, Zurich, Switzerland 114314, European Association of Agricultural Economists.
    3. Sauer, Johannes & Davidova, Sophia & Gorton, Matthew, 2012. "Land fragmentation, market integration and farm efficiency: empirical evidence from Kosovo," 86th Annual Conference, April 16-18, 2012, Warwick University, Coventry, UK 134968, Agricultural Economics Society.
    4. Kotyza, P. & Tomšík, K., 2014. "Effects of Public Support on Producer Groups Establishment in the Czech Republic and Slovakia," AGRIS on-line Papers in Economics and Informatics, Czech University of Life Sciences Prague, Faculty of Economics and Management, vol. 6(2), pages 1-11, June.
    5. Wettemann, Patrick Johannes Christopher & Latacz-Lohmann, Uwe, 2017. "An efficiency-based concept to assess potential cost and greenhouse gas savings on German dairy farms," Agricultural Systems, Elsevier, vol. 152(C), pages 27-37.
    6. Bozoglu, Mehmet & Ceyhan, Vedat, 2007. "Measuring the technical efficiency and exploring the inefficiency determinants of vegetable farms in Samsun province, Turkey," Agricultural Systems, Elsevier, vol. 94(3), pages 649-656, June.
    7. Tomasz Gerard Czekaj & Arne Henningsen, 2012. "Comparing Parametric and Nonparametric Regression Methods for Panel Data: the Optimal Size of Polish Crop Farms," IFRO Working Paper 2012/12, University of Copenhagen, Department of Food and Resource Economics.
    8. Bezat, Agnieszka, 2011. "Estimation of technical efficiency by application of the SFA method for panel data," Problems of World Agriculture / Problemy Rolnictwa Światowego, Warsaw University of Life Sciences, vol. 11(26), pages 1-9, September.
    9. Abate, Megersa & Lijesen, Mark & Pels, Eric & Roelevelt, Adriaan, 2013. "The impact of reliability on the productivity of railroad companies," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 51(C), pages 41-49.
    10. Phill Wheat & Alexander D. Stead & William H. Greene, 2019. "Robust stochastic frontier analysis: a Student’s t-half normal model with application to highway maintenance costs in England," Journal of Productivity Analysis, Springer, vol. 51(1), pages 21-38, February.
    11. Fatima Lambarraa & Spiro Stefanou & Teresa Serra & José M. Gil, 2009. "The impact of the 1999 CAP reforms on the efficiency of the COP sector in Spain," Agricultural Economics, International Association of Agricultural Economists, vol. 40(3), pages 355-364, May.
    12. Sauer, Johannes & Davidova, Sophia & Gorton, Matthew, 2012. "Heterogeneous Technologies as an Answer to Market and Price Risk: The Case of Kosovo," 123rd Seminar, February 23-24, 2012, Dublin, Ireland 122509, European Association of Agricultural Economists.
    13. Bravo-Ureta, Boris & Solís, Daniel & Moreira, Victor & Maripani, José & Thiam, Abdourahmane & Rivas, Teodoro, 2005. "Technical Efficiency in Farming: A Meta-regression analysis," Efficiency Series Papers 2005/01, University of Oviedo, Department of Economics, Oviedo Efficiency Group (OEG).
    14. von Hirschhausen, Christian R. & Cullmann, Astrid, 2005. "Efficiency Analysis of German Electricity Distribution Utilities : Non-Parametric and Parametric Tests," Dresden Discussion Paper Series in Economics 06/05, Technische Universität Dresden, Faculty of Business and Economics, Department of Economics.
    15. Laure Latruffe & Sophia Davidova & Kelvin Balcombe, 2007. "Productivity change in Polish agriculture: an application of a bootstrap procedure to Malmquist indices," Post-Print hal-02285595, HAL.
    16. Jean-Philippe Boussemart & Kassoum Ayouba & Stephane Vigeant, 2017. "The impact of single farm payments on technical inefficiency of French crop farms," Post-Print hal-01680258, HAL.
    17. Tian, Xu & Sun, Feifei & Zhou, Yingheng, 2015. "Technical Efficiency and Its Determinants in China's Hog Production," 2015 Conference, August 9-14, 2015, Milan, Italy 212718, International Association of Agricultural Economists.
    18. Sahoo, Bimal Kishore & Nauriyal, D.K., 2014. "Trends in and determinants of technical efficiency of software companies in India," Journal of Policy Modeling, Elsevier, vol. 36(3), pages 539-561.
    19. Andrea BONFIGLIO, 2006. "Efficiency and Productivity Changes of the Italian Agrifood Cooperatives: a Malmquist Index Analysis," Working Papers 250, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.
    20. Zdeňka Náglová & Tereza Horáková, 2017. "Position of the Bakery Enterprises in the Czech Republic According to Detailed Specification of the Businesses," Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis, Mendel University Press, vol. 65(5), pages 1719-1727.
    21. Petrick, Martin & Latruffe, Laure, 2005. "The Determinants of Polish Farmers' Credit Interest Rates: Hedonic Price Analysis and Implications for Government Policy," 2005 International Congress, August 23-27, 2005, Copenhagen, Denmark 24757, European Association of Agricultural Economists.
    22. Ligia Alba Melo-Becerra & Antonio José Orozco-Gallo, 2015. "Technical efficiency for Colombian small crop and livestock farmers: A stochastic metafrontier approach for different production systems," BORRADORES DE ECONOMIA 014052, BANCO DE LA REPÚBLICA.
    23. Atici, Kazim Baris & Podinovski, Victor V., 2015. "Using data envelopment analysis for the assessment of technical efficiency of units with different specialisations: An application to agriculture," Omega, Elsevier, vol. 54(C), pages 72-83.
    24. Stefan Bojnec & Laure Latruffe, 2009. "Determinants of technical efficiency of Slovenian farms," Post-Communist Economies, Taylor & Francis Journals, vol. 21(1), pages 117-124.
    25. Kourtesi, Sofia & De Witte, Kristof & Polymeros, Apostolos, 2016. "Technical Efficiency in the Agricultural Sector - Evidence from a Conditional Quantile-Based Approach," Agricultural Economics Review, Greek Association of Agricultural Economists, vol. 17(2), June.
    26. Fabio Carlucci & Andrea Cirà & Paolo Coccorese, 2018. "Measuring and Explaining Airport Efficiency and Sustainability: Evidence from Italy," Sustainability, MDPI, Open Access Journal, vol. 10(2), pages 1-17, February.
    27. Majiwa, E. & Mugodo, C., 2018. "Technical efficiency and technology gap ratios among rice farmers in Kenya," 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia 277209, International Association of Agricultural Economists.
    28. Tomas Baležentis, 2016. "Stochastic production frontier for the Lithuanian family farms," Journal of Business Economics and Management, Taylor & Francis Journals, vol. 17(2), pages 283-298, April.
    29. Jerzy Marzec & Andrzej Pisulewski, 2017. "The Effect of CAP Subsidies on the Technical Efficiency of Polish Dairy Farms," Central European Journal of Economic Modelling and Econometrics, CEJEME, vol. 9(3), pages 243-273, September.
    30. Fertö, Imre, 2014. "The Structural Transformation in Central and Eastern European Agriculture," CEI Working Paper Series 2014-9, Center for Economic Institutions, Institute of Economic Research, Hitotsubashi University.
    31. Bjerke, Lina, 2016. "Knowledge in agriculture: a micro data assessment of the role of internal and external knowledge in farm productivity in Sweden," Studies in Agricultural Economics, Research Institute for Agricultural Economics, vol. 118(2), pages 1-9, August.
    32. Gosse Alserda & Jaap Bikker & Fieke van der Lecq, 2017. "X-efficiency and economies of scale in pension fund administration and investment," DNB Working Papers 547, Netherlands Central Bank, Research Department.
    33. Hockmann, Heinrich & Pieniadz, Agata, 2009. "Explaining differences in farms efficiencies in Polish agriculture," 2009 Conference, August 16-22, 2009, Beijing, China 51051, International Association of Agricultural Economists.
    34. Huang, Wei & Bruemmer, Bernhard & Huntsinger, Lynn, 2016. "Incorporating measures of grassland productivity into efficiency estimates for livestock grazing on the Qinghai-Tibetan Plateau in China," Ecological Economics, Elsevier, vol. 122(C), pages 1-11.
    35. Paul Rouse & Julie Harrison & Li Chen, 2010. "Data Envelopment Analysis: A Practical Tool to Measure Performance," Australian Accounting Review, CPA Australia, vol. 20(2), pages 165-177, June.
    36. Czekaj, Stefania & Czubak, Wawrzyniec & Góral, Justyna & Majewski, Edward & Poczta, Walenty & Sadowski, Arkadiusz & Wąs, Adam, 2014. "Direct payments and budget subsidies versus finance and functioning of holdings and agricultural enterprises," Multiannual Program Reports 207399, Institute of Agricultural and Food Economics - National Research Institute (IAFE-NRI).
    37. Cipriano Quiros, 2011. "Liberalization and efficiency in the European postal sector," Applied Economics Letters, Taylor & Francis Journals, vol. 18(12), pages 1155-1158.
    38. Lien, Gudbrand & Kumbhakar, Subal C. & Alem, Habtamu, 2018. "Endogeneity, heterogeneity, and determinants of inefficiency in Norwegian crop-producing farms," International Journal of Production Economics, Elsevier, vol. 201(C), pages 53-61.
    39. Gregory E. Frey, & Hugo E. Fassola & A. Nahuel Pachas & Luis Colcombet & Santiago M. Lacorte & Mitch Renkow & Oscar Pérez & Frederick W. Cubbage, 2012. "A Within-Farm Efficiency Comparison of Silvopasture Systems with Conventional Pasture and Forestry in Northeast Argentina," Land Economics, University of Wisconsin Press, vol. 88(4), pages 639-657.
    40. Lukáš Čechura & Heinrich Hockmann, 2017. "Heterogeneity in Production Structures and Efficiency: An Analysis of the Czech Food Processing Industry," Pacific Economic Review, Wiley Blackwell, vol. 22(4), pages 702-719, October.
    41. Špička, J., 2014. "The Regional Efficiency of Mixed Crop and Livestock Type of Farming and Its Determinants," AGRIS on-line Papers in Economics and Informatics, Czech University of Life Sciences Prague, Faculty of Economics and Management, vol. 6(1), pages 1-11, March.
    42. Jerzy Marzec & Andrzej Pisulewski & Artur Prędki, 2019. "Efektywność techniczna i produktywność polskich gospodarstw rolnych specjalizujących się w uprawach polowych," Gospodarka Narodowa, Warsaw School of Economics, issue 2, pages 95-125.
    43. Hockmann, Heinrich & Pieniadz, Agata, 2008. "Farm Heterogeneity and Efficiency in Polish Agriculture: A Stochastic Frontier Analysis," 2008 International Congress, August 26-29, 2008, Ghent, Belgium 44278, European Association of Agricultural Economists.
    44. Sauer, J. & Davidova, S. & Gorton, M., 2013. "Land Fragmentation and Market Integration- Heterogenous Technologies in Kosovo," Proceedings “Schriften der Gesellschaft für Wirtschafts- und Sozialwissenschaften des Landbaues e.V.”, German Association of Agricultural Economists (GEWISOLA), vol. 48, March.
    45. Latruffe, Laure & Guyomard, Hervé & Le Mouël, Chantal, 2009. "The role of public subsidies on farms’ managerial efficiency: An application of a five-stage approach to France," Working Papers 210398, Institut National de la recherche Agronomique (INRA), Departement Sciences Sociales, Agriculture et Alimentation, Espace et Environnement (SAE2).
    46. Baležentis, Tomas & De Witte, Kristof, 2015. "One- and multi-directional conditional efficiency measurement – Efficiency in Lithuanian family farms," European Journal of Operational Research, Elsevier, vol. 245(2), pages 612-622.
    47. Laure Latruffe & Sophia Davidova & Kelvin Balcombe, 2008. "Application of a double bootstrap to investigation of determinants of technical efficiency of farms in Central Europe," Journal of Productivity Analysis, Springer, vol. 29(2), pages 183-191, April.
    48. Carlos Pestana Barros & Stephanie Leach, 2006. "Performance evaluation of the English Premier Football League with data envelopment analysis," Applied Economics, Taylor & Francis Journals, vol. 38(12), pages 1449-1458.
    49. Ligia Alba Melo-Becerra & Antonio José Orozco-Gallo, 2015. "Eficiencia técnica de los hogares con producción agropecuaria en Colombia," Documentos de trabajo sobre Economía Regional y Urbana 227, Banco de la Republica de Colombia.
    50. Hannah Pieters & Johan Swinnen, 2014. "Trading-off Volatility and Distortions? Food Policy During Price Spikes," LICOS Discussion Papers 35914, LICOS - Centre for Institutions and Economic Performance, KU Leuven.
    51. Lambarraa, Fatima & Stefanou, Spiro E. & Serra, Teresa & Gil, Jose Maria, 2008. "The impact of the CAP reforms on the efficiency of the COP sector in Spain," 2008 International Congress, August 26-29, 2008, Ghent, Belgium 44408, European Association of Agricultural Economists.
    52. Hockmann, Heinrich & Pieniadz, Agata & Goraj, Lech, 2007. "Modeling Heterogeneity In Production Models: Empirical Evidence From Individual Farming In Poland," IAMO Discussion Papers 91733, Institute of Agricultural Development in Transition Economies (IAMO).
    53. McDonald, John, 2009. "Using least squares and tobit in second stage DEA efficiency analyses," European Journal of Operational Research, Elsevier, vol. 197(2), pages 792-798, September.
    54. Geys, Benny & Moesen, Wim, 2008. "Exploring sources of local government technical inefficiency: evidence from Flemish municipalities
      [Ursachenforschung zur technischen Ineffizienz kommunaler Verwaltungen: Evidenz von flämischen Gem
      ," Discussion Papers, Research Unit: Market Processes and Governance SP II 2008-18, WZB Berlin Social Science Center.
    55. Vasile Burja, 2011. "Regional Disparities Of Agricultural Performance In Romania," Annales Universitatis Apulensis Series Oeconomica, Faculty of Sciences, "1 Decembrie 1918" University, Alba Iulia, vol. 1(13), pages 1-12.
    56. Souksavanh Vixathep & Nobuaki Matsunaga, 2012. "Firm Efficiency in Cambodia's Garment Industry on the Eve of the Multi-Fiber Arrangement Termination," Asian Economic Journal, East Asian Economic Association, vol. 26(4), pages 359-380, December.
    57. Orkhan Guliyev & Aijun Liu & Gershom Endelani Mwalupaso & Jarkko Niemi, 2019. "The Determinants of Technical Efficiency of Hazelnut Production in Azerbaijan: An Analysis of the Role of NGOs," Sustainability, MDPI, Open Access Journal, vol. 11(16), pages 1-19, August.
    58. Zhu, Xueqin & Oude Lansink, Alfons G.J.M., 2008. "Technical Efficiency of the Crop Farms under the Various CAP Reforms: Empirical Studies for Germany, the Netherlands and Sweden," 107th Seminar, January 30-February 1, 2008, Sevilla, Spain 6589, European Association of Agricultural Economists.
    59. Daniel Gaitán-Cremaschi & Frits K. Van Evert & Don M. Jansen & Miranda P. M. Meuwissen & Alfons G. J. M. Oude Lansink, 2018. "Assessing the Sustainability Performance of Coffee Farms in Vietnam: A Social Profit Inefficiency Approach," Sustainability, MDPI, Open Access Journal, vol. 10(11), pages 1-23, November.
    60. Ruhul Salim & Amzad Hossain, 2006. "Market deregulation, trade liberalization and productive efficiency in Bangladesh agriculture: an empirical analysis," Applied Economics, Taylor & Francis Journals, vol. 38(21), pages 2567-2580.
    61. Antonis Adam & Sofia Tsarsitalidou, 2019. "Environmental policy efficiency: measurement and determinants," Economics of Governance, Springer, vol. 20(1), pages 1-22, March.
    62. Yongjun Li & Xiao Shi & Min Yang & Liang Liang, 2017. "Variable selection in data envelopment analysis via Akaike’s information criteria," Annals of Operations Research, Springer, vol. 253(1), pages 453-476, June.
    63. Hasan DUDU & Zuzana Smeets Kristkova, 2017. "Impact of CAP Pillar II Payments on Agricultural Productivity," JRC Working Papers JRC106591, Joint Research Centre (Seville site).
    64. Zdeňka Náglová & Marie Šimpachová Pechrová, 2019. "Are Wine Producers With Subsidies More Technically Efficient?," Central European Business Review, University of Economics, Prague, vol. 2019(1), pages 1-14.
    65. Manevska-Tasevska, Gordana, 2011. "Efficiency analysis of commercial grape-producing family farms in the Republic of Macedonia," Department of Economics publications 8496, Swedish University of Agricultural Sciences, Department of Economics.
    66. Dudu, Hasan & Smeets Kristkova, Zuzana, 2017. "Impact of CAP Pillar II Payments on Agricultural Productivity," 2017 International Congress, August 28-September 1, 2017, Parma, Italy 261171, European Association of Agricultural Economists.

  16. Bailey, Alastair & Irz, Xavier T. & Balcombe, Kelvin George, 2003. "An Appliation Of The Stochastic Latent Variable Approach To The Correction Of Sector Level Tfp Calculations In The Face Of Biased Technological Change," 2003 Annual Meeting, August 16-22, 2003, Durban, South Africa 25842, International Association of Agricultural Economists.

    Cited by:

    1. Luis Lanteri, 2005. "Crecimiento y la paradoja de la productividad: Una estimación en la forma de state-space con componentes no observables para el sector agropecuario argentino, 1955-2003," Estudios Económicos, El Colegio de México, Centro de Estudios Económicos, vol. 20(1), pages 53-78.

  17. Tiffin, J. Richard & Balcombe, Kelvin George, 2003. "Testing Symmetry And Homogeneity In The Aids With Cointegrated Data Using Fully-Modified Estimation And The Bootstrap," 2003 Annual Meeting, August 16-22, 2003, Durban, South Africa 25845, International Association of Agricultural Economists.

    Cited by:

    1. Ken-ichi Mizobuchi & Hisashi Tanizaki, 2014. "On estimation of almost ideal demand system using moving blocks bootstrap and pairs bootstrap methods," Empirical Economics, Springer, vol. 47(4), pages 1221-1250, December.

Articles

  1. Balcombe, Kelvin & Fraser, Iain & Williams, Louis & McSorley, Eugene, 2017. "Examining the relationship between visual attention and stated preferences: A discrete choice experiment using eye-tracking," Journal of Economic Behavior & Organization, Elsevier, vol. 144(C), pages 238-257.

    Cited by:

    1. Jeffrey E. Harris & Mariana Gerstenblüth & Patricia Triunfo, 2018. "Smokers’ Rational Lexicographic Preferences for Cigarette Package Warnings: A Discrete Choice Experiment with Eye Tracking," Documentos de Trabajo (working papers) 0218, Department of Economics - dECON.
    2. Huseynov, Samir & Krajbich, Ian & Palma, Marco A., 2018. "No Time to Think: Food Decision-Making under Time Pressure," 2018 Annual Meeting, August 5-7, Washington, D.C. 274135, Agricultural and Applied Economics Association.

  2. Balcombe, Kelvin & Fraser, Iain, 2017. "Do bubbles have an explosive signature in markov switching models?," Economic Modelling, Elsevier, vol. 66(C), pages 81-100.

    Cited by:

    1. Charles Shaw, 2018. "Conditional heteroskedasticity in crypto-asset returns," Papers 1804.07978, arXiv.org, revised Dec 2018.
    2. Mawuli Segnon & Stelios Bekiros, 2019. "Forecasting Volatility in Cryptocurrency Markets," CQE Working Papers 7919, Center for Quantitative Economics (CQE), University of Muenster.
    3. Ardia, David & Bluteau, Keven & Rüede, Maxime, 2019. "Regime changes in Bitcoin GARCH volatility dynamics," Finance Research Letters, Elsevier, vol. 29(C), pages 266-271.
    4. Narayan, Paresh Kumar & Narayan, Seema & Eki Rahman, R. & Setiawan, Iwan, 2019. "Bitcoin price growth and Indonesia's monetary system," Emerging Markets Review, Elsevier, vol. 38(C), pages 364-376.
    5. Shaw, Charles, 2018. "Conditional heteroskedasticity in crypto-asset returns," MPRA Paper 90437, University Library of Munich, Germany.

  3. Balcombe, Kelvin & Bradley, Dylan & Fraser, Iain & Hussein, Mohamud, 2016. "Consumer preferences regarding country of origin for multiple meat products," Food Policy, Elsevier, vol. 64(C), pages 49-62.

    Cited by:

    1. Adelina Gschwandtner & Michael Burton, 2017. "The Willingness to Pay for Organic Attributes in the UK," Studies in Economics 1702, School of Economics, University of Kent.
    2. Regan, Mark & Keane, Claire & Walsh, John R, 2018. "Using behavioural experiments to pre-test policy," Papers BP2019/2, Economic and Social Research Institute (ESRI).
    3. Balcombe, Kelvin & Fraser, Iain & Williams, Louis & McSorley, Eugene, 2017. "Examining the relationship between visual attention and stated preferences: A discrete choice experiment using eye-tracking," Journal of Economic Behavior & Organization, Elsevier, vol. 144(C), pages 238-257.
    4. Shijiu Yin & Shanshan Lv & Yusheng Chen & Linhai Wu & Mo Chen & Jiang Yan, 2018. "Consumer preference for infant milk‐based formula with select food safety information attributes: Evidence from a choice experiment in China," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 66(4), pages 557-569, December.
    5. Caputo, Vincenzina & Scarpa, Riccardo & Nayga, Rodolfo M. & Ortega, David L., 2018. "Are preferences for food quality attributes really normally distributed? An analysis using flexible mixing distributions," Journal of choice modelling, Elsevier, vol. 28(C), pages 10-27.
    6. Bruno Larue, 2018. "Economic Integration Reconsidered," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 66(1), pages 5-25, March.

  4. Ali Chalak & Mohamad Abiad & Kelvin Balcombe, 2016. "Joint use of attribute importance rankings and non-attendance data in choice experiments," European Review of Agricultural Economics, Foundation for the European Review of Agricultural Economics, vol. 43(5), pages 737-760.

    Cited by:

    1. Dan Pan, 2016. "The Design of Policy Instruments towards Sustainable Livestock Production in China: An Application of the Choice Experiment Method," Sustainability, MDPI, Open Access Journal, vol. 8(7), pages 1-18, July.
    2. Chen, Xuqi & Shen, Meng & Gao, Zhifeng, 2017. "Impact of Intra-respondent Variations in Attribute Attendance on Consumer Preference in Food Choice," 2017 Annual Meeting, July 30-August 1, Chicago, Illinois 258509, Agricultural and Applied Economics Association.
    3. Macario Rodríguez‐Entrena & Anastasio J. Villanueva & José A. Gómez‐Limón, 2019. "Unraveling determinants of inferred and stated attribute nonattendance: Effects on farmers’ willingness to accept to join agri‐environmental schemes," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 67(1), pages 31-52, March.

  5. Kelvin Balcombe & Iain Fraser & Ben Lowe & Diogo Souza Monteiro, 2016. "Information Customization and Food Choice," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 98(1), pages 54-73.

    Cited by:

    1. Adelina Gschwandtner & Michael Burton, 2017. "The Willingness to Pay for Organic Attributes in the UK," Studies in Economics 1702, School of Economics, University of Kent.
    2. Gschwandtner, A., 2018. "Improving Drinking Water Quality in South Korea: A Choice Experiment," 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia 277418, International Association of Agricultural Economists.
    3. Balcombe, Kelvin & Fraser, Iain & Williams, Louis & McSorley, Eugene, 2017. "Examining the relationship between visual attention and stated preferences: A discrete choice experiment using eye-tracking," Journal of Economic Behavior & Organization, Elsevier, vol. 144(C), pages 238-257.
    4. Huseynov, Samir & Krajbich, Ian & Palma, Marco A., 2018. "No Time to Think: Food Decision-Making under Time Pressure," 2018 Annual Meeting, August 5-7, Washington, D.C. 274135, Agricultural and Applied Economics Association.
    5. I. G. Ukpong & K. G. Balcombe & I. M. Fraser & F. J. Areal, 2019. "Preferences for Mitigation of the Negative Impacts of the Oil and Gas Industry in the Niger Delta Region of Nigeria," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 74(2), pages 811-843, October.
    6. Pambo, Kennedy O. & Okello, Julius J. & Mbeche, Robert & Kinyuru, John N., 2016. "Consumer Acceptance of Edible Insects for Non-Meat Protein in Western Kenya," 2016 Fifth International Conference, September 23-26, 2016, Addis Ababa, Ethiopia 246317, African Association of Agricultural Economists (AAAE).

  6. Areal, Francisco José & Balcombe, Kevin & Rapsomanikis, George, 2016. "Testing for bubbles in agriculture commodity markets," Economia Agraria y Recursos Naturales, Spanish Association of Agricultural Economists, vol. 16(01), June.
    See citations under working paper version above.
  7. Kelvin Balcombe & Iain Fraser, 2015. "Parametric preference functionals under risk in the gain domain: A Bayesian analysis," Journal of Risk and Uncertainty, Springer, vol. 50(2), pages 161-187, April.

    Cited by:

    1. Glenn W. Harrison & J. Todd Swarthout, 2016. "Cumulative Prospect Theory in the Laboratory: A Reconsideration," Experimental Economics Center Working Paper Series 2016-04, Experimental Economics Center, Andrew Young School of Policy Studies, Georgia State University.
    2. Balcombe, Kelvin & Bardsley, Nicholas & Dadzie, Sam & Fraser, Iain, 2019. "Estimating parametric loss aversion with prospect theory: Recognising and dealing with size dependence," Journal of Economic Behavior & Organization, Elsevier, vol. 162(C), pages 106-119.
    3. Galizzi, Matteo M. & Machado, Sara R. & Miniaci, Raffaele, 2016. "Temporal stability, cross-validity, and external validity of risk preferences measures: experimental evidence from a UK representative sample," LSE Research Online Documents on Economics 67554, London School of Economics and Political Science, LSE Library.
    4. Konstantinos Georgalos, 2016. "Dynamic decision making under ambiguity," Working Papers 112111041, Lancaster University Management School, Economics Department.
    5. Müller, Julia & Li, Zhihua & Wakker, Peter P. & Wang, Tong V., 2016. "The Rich Domain of Ambiguity Explored," Annual Conference 2016 (Augsburg): Demographic Change 145734, Verein für Socialpolitik / German Economic Association.
    6. Mehmet Kutluay & Roy Brouwer & Richard S. J. Tol, 2017. "Preference updating in public health risk valuation," Working Paper Series 1517, Department of Economics, University of Sussex Business School.
    7. Konstantinos Georgalos, 2019. "An experimental test of the predictive power of dynamic ambiguity models," Journal of Risk and Uncertainty, Springer, vol. 59(1), pages 51-83, August.
    8. Li, Baibing & Hensher, David A., 2017. "Risky weighting in discrete choice," Transportation Research Part B: Methodological, Elsevier, vol. 102(C), pages 1-21.
    9. Monica Novackova & Richard S.J. Tol, 2018. "Climate Change Awareness and Willingness to Pay for its Mitigation: Evidence from the UK," Working Paper Series 0318, Department of Economics, University of Sussex Business School.

  8. Breeze, T.D. & Bailey, A.P. & Potts, S.G. & Balcombe, K.G., 2015. "A stated preference valuation of the non-market benefits of pollination services in the UK," Ecological Economics, Elsevier, vol. 111(C), pages 76-85.

    Cited by:

    1. Khachatryan, Hayk & Rihn, Alicia, 2018. "Defining U. S. Consumers' (mis)perceptions of Pollinator Friendly Labels: An Exploratory Study," International Food and Agribusiness Management Review, International Food and Agribusiness Management Association, vol. 21(3), February.
    2. Grammatikopoulou, Ioanna & Pouta, Eija & Artell, Janne, 2019. "Heterogeneity and attribute non-attendance in preferences for peatland conservation," Forest Policy and Economics, Elsevier, vol. 104(C), pages 45-55.
    3. Campbell, Ben & Khachatryan, Hayk & Rihn, Alicia, 2017. "Pollinator Friendly Plants: Reasons for and Barriers to Purchase," 2017 Annual Meeting, February 4-7, 2017, Mobile, Alabama 252763, Southern Agricultural Economics Association.
    4. Hayk Khachatryan & Alicia L. Rihn & Benjamin Campbell & Chengyan Yue & Charles Hall & Bridget Behe, 2017. "Visual Attention to Eco-Labels Predicts Consumer Preferences for Pollinator Friendly Plants," Sustainability, MDPI, Open Access Journal, vol. 9(10), pages 1-14, September.

  9. Kelvin Balcombe & Iain Fraser & Eugene McSorley, 2015. "Visual Attention and Attribute Attendance in Multi‐Attribute Choice Experiments," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 30(3), pages 447-467, April.
    See citations under working paper version above.
  10. Matthew J. Salois & Kelvin G. Balcombe, 2015. "A Generalized Bayesian Instrumental Variable Approach under Student t-distributed Errors with Application," Manchester School, University of Manchester, vol. 83(5), pages 499-522, September.

    Cited by:

    1. Fernández-Amador, Octavio & Oberdabernig, Doris & Tomberger, Patrick, 2017. "Testing for Convergence in Carbon Dioxide Emissions using a Bayesian Robust Structural Model," Papers 1101, World Trade Institute.

  11. Kelvin Balcombe & Michail Bitzios & Iain Fraser & Janet Haddock-Fraser, 2014. "Using Attribute Importance Rankings Within Discrete Choice Experiments: An Application to Valuing Bread Attributes," Journal of Agricultural Economics, Wiley Blackwell, vol. 65(2), pages 446-462, June.
    See citations under working paper version above.
  12. Ariane Kehlbacher & Kelvin Balcombe & Richard Bennett, 2013. "Stated Attribute Non-attendance in Successive Choice Experiments," Journal of Agricultural Economics, Wiley Blackwell, vol. 64(3), pages 693-706, September.

    Cited by:

    1. Wu, Cheng-Lung & So, T.H. Hanson, 2018. "On the flight choice behaviour of business-purpose passengers in the Australian domestic air market," Journal of Air Transport Management, Elsevier, vol. 72(C), pages 56-67.
    2. Yangui, A. & Akaichi, F. & Gil, J.M., 2018. "Investigating attribute non-attendance effects in conjoint analysis methods performance: Choice experiment, ranking conjoint analysis and best worst scaling," 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia 275989, International Association of Agricultural Economists.
    3. Chen, Xuqi & Shen, Meng & Gao, Zhifeng, 2017. "Impact of Intra-respondent Variations in Attribute Attendance on Consumer Preference in Food Choice," 2017 Annual Meeting, July 30-August 1, Chicago, Illinois 258509, Agricultural and Applied Economics Association.
    4. Caputo, Vincenzina & Scarpa, Riccardo & Nayga, Rodolfo M. & Ortega, David L., 2018. "Are preferences for food quality attributes really normally distributed? An analysis using flexible mixing distributions," Journal of choice modelling, Elsevier, vol. 28(C), pages 10-27.
    5. Breeze, T.D. & Bailey, A.P. & Potts, S.G. & Balcombe, K.G., 2015. "A stated preference valuation of the non-market benefits of pollination services in the UK," Ecological Economics, Elsevier, vol. 111(C), pages 76-85.

  13. Francisco José Areal & Kelvin Balcombe & Richard Tiffin, 2012. "Integrating spatial dependence into Stochastic Frontier Analysis," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 56(4), pages 521-541, October.
    See citations under working paper version above.
  14. Matthew J. Salois & Richard Tiffin & Kelvin G. Balcombe, 2012. "Impact of Income on Nutrient Intakes: Implications for Undernourishment and Obesity," Journal of Development Studies, Taylor & Francis Journals, vol. 48(12), pages 1716-1730, December.

    Cited by:

    1. De Zhou & Xiaohua Yu, 2015. "Calorie Elasticities with Income Dynamics: Evidence from the Literature," Applied Economic Perspectives and Policy, Agricultural and Applied Economics Association, vol. 37(4), pages 575-601.
    2. Patricia C Melo & Yakubu Abdul-Salam & Deborah Roberts & Alana Gilbert & Robin Matthews & Liesbeth Colen & Sergio Gomez Y Paloma, 2015. "Income Elasticities of Food Demand in Africa: A Meta-Analysis," JRC Working Papers JRC98812, Joint Research Centre (Seville site).
    3. Kolawole Ogundari & Shoichi Ito & Victor O Okoruwa, 2016. "Estimating nutrition-income elasticities in sub-Saharan Africa: implications on health," Journal of Economic Studies, Emerald Group Publishing, vol. 43(1), pages 59-69, January.
    4. Ogundari, Kolawole & Abdulai, Awudu, 2013. "Examining the heterogeneity in calorie–income elasticities: A meta-analysis," Food Policy, Elsevier, vol. 40(C), pages 119-128.
    5. Samuel Kobina Annim & Raymond Boadi Frempong, 2018. "Effects of access to credit and income on dietary diversity in Ghana," Food Security: The Science, Sociology and Economics of Food Production and Access to Food, Springer;The International Society for Plant Pathology, vol. 10(6), pages 1649-1663, December.
    6. Mohammad Ali & Kira M. Villa & Janak Joshi, 2018. "Health and hunger: nutrient response to income depending on caloric availability in Nepal," Agricultural Economics, International Association of Agricultural Economists, vol. 49(5), pages 611-621, September.
    7. Colen, L. & Melo, P.C. & Abdul-Salam, Y. & Roberts, D. & Mary, S. & Gomez Y Paloma, S., 2018. "Income elasticities for food, calories and nutrients across Africa: A meta-analysis," Food Policy, Elsevier, vol. 77(C), pages 116-132.
    8. Melo, P. C. & Abdul-Salam, Yakubu & Roberts, D. & Colen, L. & Mary, S. & Gomez Y Paloma, S., 2016. "Income growth and malnutrition in Africa: Is there a need for region-specific policies?," 90th Annual Conference, April 4-6, 2016, Warwick University, Coventry, UK 236372, Agricultural Economics Society.
    9. Jorge Valero-Gil & Magali Valero, 2013. "Nutritional Intake and Poverty in Mexico: 1984--2010," Journal of Development Studies, Taylor & Francis Journals, vol. 49(10), pages 1375-1396, October.
    10. Ogundari, Kolawole & Aromolaran, Adebayo, 2016. "On the causal relationship between nutrition and economic Growth: Evidence from sub-Saharan Africa," 2016 Annual Meeting, July 31-August 2, Boston, Massachusetts 235352, Agricultural and Applied Economics Association.

  15. Areal, Francisco J. & Tiffin, Richard & Balcombe, Kelvin G., 2012. "Provision of environmental output within a multi-output distance function approach," Ecological Economics, Elsevier, vol. 78(C), pages 47-54.
    See citations under working paper version above.
  16. Richard Bennett & Kelvin Balcombe, 2012. "Farmers’ Willingness to Pay for a Tuberculosis Cattle Vaccine," Journal of Agricultural Economics, Wiley Blackwell, vol. 63(2), pages 408-424, June.

    Cited by:

    1. Zhang, Haifeng & Kono, Hiroichi & Kubota, Satoko & Wang, Jun, 2015. "Farmers’ Willingness to Pay for a Porcine Reproductive and Respiratory Syndrome (PRRS) Vaccine in Thua Thien Hue Province, Vietnam," International Food and Agribusiness Management Review, International Food and Agribusiness Management Association, vol. 18(2), pages 1-14, May.
    2. Sauthoff, Saramena & Anastassiadis, Friederike & Mußhoff, Oliver, 2015. "Analyzing farmers' preferences for substrate supply contracts for sugar beets," DARE Discussion Papers 1509, Georg-August University of Göttingen, Department of Agricultural Economics and Rural Development (DARE).
    3. Zhang, Haifeng & Kono, Hiroichi & Kubota, Satoko, 2014. "Farmers’ Preferences and Attitudes Toward Porcine Reproductive and Respiratory Syndrome (PRRS) Vaccination in Vietnam," 2014 International Congress, August 26-29, 2014, Ljubljana, Slovenia 183038, European Association of Agricultural Economists.
    4. Pierre-Alexandre Mahieu & Henrik Andersson & Olivier Beaumais & Romain Crastes & François-Charles Wolff, 2014. "Is Choice Experiment Becoming more Popular than Contingent Valuation? A Systematic Review in Agriculture, Environment and Health," Working Papers 2014.12, FAERE - French Association of Environmental and Resource Economists.

  17. Areal, Francisco Jose & Balcombe, Kelvin & Tiffin, Richard, 2012. "Integrated spatial dependence into Stochastic Frontier Analysis," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 56(4), pages 1-21, December.

    Cited by:

    1. Ang, Frederic & Jan Kerstens, Pieter, 2016. "To mix or specialise? A coordination productivity indicator for English and Welsh farms," 90th Annual Conference, April 4-6, 2016, Warwick University, Coventry, UK 236337, Agricultural Economics Society.
    2. MCarmen Martínez†Victoria & Mariluz Maté Sánchez†Val & Narciso Arcas†Lario, 2018. "Spatial determinants of productivity growth on agri†food Spanish firms: a comparison between cooperatives and investor†owned firms," Agricultural Economics, International Association of Agricultural Economists, vol. 49(2), pages 213-223, March.
    3. Pede, Valerien O. & McKinley, Justin & Singbo, Alphonse & Kajisa, Kei, 2015. "Spatial Dependency of Technical Efficiency in Rice Farming: The Case of Bohol, Philippines," 2015 AAEA & WAEA Joint Annual Meeting, July 26-28, San Francisco, California 205456, Agricultural and Applied Economics Association.
    4. Zenaida M Sumalde & Donald B. Villanueva & Valerien O Pede & Yolanda T Garcia & U-Primo E Rodriguez, 2017. "Assessment of Neighborhood and Spillover Effects on Technical Efficiency of Irrigated Rice Farmers," Asian Journal of Agriculture and Development, Southeast Asian Regional Center for Graduate Study and Research in Agriculture (SEARCA), vol. 14(2), pages 103-125, December.
    5. A. G. Billé & C. Salvioni & R. Benedetti, 2018. "Modelling spatial regimes in farms technologies," Journal of Productivity Analysis, Springer, vol. 49(2), pages 173-185, June.
    6. Vidoli, Francesco & Canello, Jacopo, 2016. "Controlling for spatial heterogeneity in nonparametric efficiency models: An empirical proposal," European Journal of Operational Research, Elsevier, vol. 249(2), pages 771-783.
    7. Valerien O. Pede & Francisco J. Areal & Alphonse Singbo & Justin McKinley & Kei Kajisa, 2018. "Spatial dependency and technical efficiency: an application of a Bayesian stochastic frontier model to irrigated and rainfed rice farmers in Bohol, Philippines," Agricultural Economics, International Association of Agricultural Economists, vol. 49(3), pages 301-312, May.
    8. Orea, Luis & Álvarez, Inmaculada C., 2017. "A new stochastic frontier model with cross-sectional effects in both noise and inefficiency terms," Efficiency Series Papers 2017/04, University of Oviedo, Department of Economics, Oviedo Efficiency Group (OEG).
    9. Federico Belotti & Giuseppe Ilardi & Andrea Piano Mortari, 2019. "Estimation of Stochastic Frontier Panel Data Models with Spatial Inefficiency," CEIS Research Paper 459, Tor Vergata University, CEIS, revised 30 May 2019.

  18. Kehlbacher, A. & Bennett, R. & Balcombe, K., 2012. "Measuring the consumer benefits of improving farm animal welfare to inform welfare labelling," Food Policy, Elsevier, vol. 37(6), pages 627-633.

    Cited by:

    1. Santeramo, Fabio Gaetano & Carlucci, Domenico & De Devitiis, Biagia & Seccia, Antonio & Stasi, Antonio & Viscecchia, Rosaria & Nardone, Gianluca, 2017. "Emerging trends in European food, diets and food industry," MPRA Paper 82105, University Library of Munich, Germany.
    2. Yang, W. & Renwich, A., 2018. "Consumer Willingness to Pay Price Premium for Credence Attributes of Livestock Products A Meta-Analysis method," 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia 277320, International Association of Agricultural Economists.
    3. Weinrich, Ramona & Franz, Annabell & Spiller, Achim, 2015. "Multi-level labelling: too complex for consumers?," 143rd Joint EAAE/AAEA Seminar, March 25-27, 2015, Naples, Italy 202752, European Association of Agricultural Economists.
    4. Weinrich, Ramona & Kühl, Sarah & Zühlsdorf, Anke & Spiller, Achim, 2014. "Consumer Attitudes in Germany towards Different Dairy Housing Systems and Their Implications for the Marketing of Pasture Raised Milk," International Food and Agribusiness Management Review, International Food and Agribusiness Management Association, vol. 17(4), pages 1-18, November.
    5. Weinrich, Ramona & Franz, Annabell & Spiller, Achim, 2015. "Multi-level labelling: Too complex for consumers?," DARE Discussion Papers 1512, Georg-August University of Göttingen, Department of Agricultural Economics and Rural Development (DARE).
    6. Tebbe, Eva & von Blanckenburg, Korbinian, 2017. "Does willingness to pay increase with the number and strictness of sustainability labels?," Annual Conference 2016 (Augsburg): Demographic Change 145556, Verein für Socialpolitik / German Economic Association.
    7. Heise, Heinke & Theuvsen, Ludwig, 2016. "What do consumers think about farm animal welfare in modern agriculture? Attitudes and shopping behaviour," International Food and Agribusiness Management Review, International Food and Agribusiness Management Association, vol. 20(3), November.
    8. Uehleke, Reinhard & Hüttel, Silke, 2016. "The Hypothetical Free-Rider Deficit In The Demand For Farm Animal Welfare Labeled Meat," 56th Annual Conference, Bonn, Germany, September 28-30, 2016 244866, German Association of Agricultural Economists (GEWISOLA).
    9. Weinrich, Ramona & Spiller, Achim, 2015. "Developing food labelling strategies with the help of extremeness aversion," DARE Discussion Papers 1511, Georg-August University of Göttingen, Department of Agricultural Economics and Rural Development (DARE).
    10. Patterson, Jacinta & Mugera, Amin & Burton, Michael, 2015. "Consumer Preferences for Welfare Friendly Production Methods: The Case of Chicken Production in Western Australia," 2015 Conference (59th), February 10-13, 2015, Rotorua, New Zealand 202567, Australian Agricultural and Resource Economics Society.
    11. Petershammer, Silke & Dahlhausen, Johanna & Roosen, Jutta, 2016. "Zahlungsbereitschaft Für Tierwohl," 56th Annual Conference, Bonn, Germany, September 28-30, 2016 244890, German Association of Agricultural Economists (GEWISOLA).
    12. Clark, Beth & Stewart, Gavin B. & Panzone, Luca A. & Kyriazakis, Ilias & Frewer, Lynn J., 2017. "Citizens, consumers and farm animal welfare: A meta-analysis of willingness-to-pay studies," Food Policy, Elsevier, vol. 68(C), pages 112-127.
    13. Anja Rovers & Inken Christoph-Schulz & Nanke Brümmer & Doreen Saggau, 2017. "Trust no One? Citizens’ Concerns regarding the Pork and Dairy Supply Chain," International Journal on Food System Dynamics, International Center for Management, Communication, and Research, vol. 2017(1), June.
    14. Ramona Weinrich & Annabell Franz & Achim Spiller, 2016. "Multi-level labelling: too complex for consumers?," ECONOMIA AGRO-ALIMENTARE, FrancoAngeli Editore, vol. 18(2), pages 155-172.
    15. Francesca Gerini & Frode Alfnes & Alexander Schjøll, 2016. "Organic- and Animal Welfare-labelled Eggs: Competing for the Same Consumers?," Journal of Agricultural Economics, Wiley Blackwell, vol. 67(2), pages 471-490, June.
    16. Michael Vassalos & Zhifeng Gao & Lisha Zhang, 2017. "Factors Affecting Current and Future CSA Participation," Sustainability, MDPI, Open Access Journal, vol. 9(3), pages 1-16, March.
    17. Veljković, Saša & Stojanović, Žaklina & Filipović, Jelena, 2015. "Attitudes Toward Farm Animals Welfare And Consumer’S Buying Intentions - Case Of Serbia," Economics of Agriculture, Institute of Agricultural Economics, vol. 62(1), pages 1-19, March.

  19. Balcombe, Kelvin & Burton, Michael & Rigby, Dan, 2011. "Skew and attribute non-attendance within the Bayesian mixed logit model," Journal of Environmental Economics and Management, Elsevier, vol. 62(3), pages 446-461.

    Cited by:

    1. Balcombe, Kelvin George & Fraser, Iain & McSorley, Eugene, 2013. "Visual Attention and Attribute Attendance in Multi-Attribute Choice Experiments," 87th Annual Conference, April 8-10, 2013, Warwick University, Coventry, UK 158709, Agricultural Economics Society.
    2. Richard Yao & Riccardo Scarpa & John Rose & James Turner, 2015. "Experimental Design Criteria and Their Behavioural Efficiency: An Evaluation in the Field," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 62(3), pages 433-455, November.
    3. Mohammed Hussen Alemu & Morten Raun Mørkbak & Søren Bøye Olsen & Carsten Lynge Jensen, 2011. "Attending to the reasons for attribute non-attendance in Choice Experiments," IFRO Working Paper 2011/8, University of Copenhagen, Department of Food and Resource Economics.
    4. Daniel A. Brent & Lata Gangadharan & Anke Leroux & Paul A. Raschky, 2014. "Putting One's Money Where One's Mouth is: Increasing Saliency in the Field," Monash Economics Working Papers 43-14, Monash University, Department of Economics.
    5. Chavez, Daniel & Palma, Marco & Collart, Alba J., 2016. "Eye Tracking to Model Attribute Attendance," 2016 Annual Meeting, February 6-9, 2016, San Antonio, Texas 230011, Southern Agricultural Economics Association.
    6. Ariane Kehlbacher & Kelvin Balcombe & Richard Bennett, 2013. "Stated Attribute Non-attendance in Successive Choice Experiments," Journal of Agricultural Economics, Wiley Blackwell, vol. 64(3), pages 693-706, September.
    7. Robert J. Johnston & Kevin J. Boyle & Wiktor (Vic) Adamowicz & Jeff Bennett & Roy Brouwer & Trudy Ann Cameron & W. Michael Hanemann & Nick Hanley & Mandy Ryan & Riccardo Scarpa & Roger Tourangeau & Ch, 2017. "Contemporary Guidance for Stated Preference Studies," Journal of the Association of Environmental and Resource Economists, University of Chicago Press, vol. 4(2), pages 319-405.
    8. Daniel A. Brent & Lata Gangadharan & Anke Leroux & Paul A. Raschky, 2016. "Putting Your Money Where Your Mouth Is," Monash Economics Working Papers 42-16, Monash University, Department of Economics.
    9. Yuan, Yuan & You, Wen & Boyle, Kevin J., 2015. "A guide to heterogeneity features captured by parametric and nonparametric mixing distributions for the mixed logit model," 2015 AAEA & WAEA Joint Annual Meeting, July 26-28, San Francisco, California 205733, Agricultural and Applied Economics Association.
    10. Balcombe, Kelvin George & Bitzios, Michael & Fraser, Iain & Haddock-Fraser, Janet, 2013. "Using Attribute Importance Rankings within Discrete Choice Experiments: An Application to Valuing Bread Attributes," 2013 Conference (57th), February 5-8, 2013, Sydney, Australia 152151, Australian Agricultural and Resource Economics Society.
    11. Mara Thiene & Riccardo Scarpa & Jordan Louviere, 2015. "Addressing Preference Heterogeneity, Multiple Scales and Attribute Attendance with a Correlated Finite Mixing Model of Tap Water Choice," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 62(3), pages 637-656, November.
    12. Weller, Priska & Oehlmann, Malte & Mariel, Petr & Meyerhoff, Jürgen, 2014. "Stated and inferred attribute non-attendance in a design of designs approach," Journal of choice modelling, Elsevier, vol. 11(C), pages 43-56.
    13. Macario Rodríguez‐Entrena & Anastasio J. Villanueva & José A. Gómez‐Limón, 2019. "Unraveling determinants of inferred and stated attribute nonattendance: Effects on farmers’ willingness to accept to join agri‐environmental schemes," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 67(1), pages 31-52, March.
    14. Caputo, Vincenzina & Scarpa, Riccardo & Nayga, Rodolfo M. & Ortega, David L., 2018. "Are preferences for food quality attributes really normally distributed? An analysis using flexible mixing distributions," Journal of choice modelling, Elsevier, vol. 28(C), pages 10-27.
    15. Breeze, T.D. & Bailey, A.P. & Potts, S.G. & Balcombe, K.G., 2015. "A stated preference valuation of the non-market benefits of pollination services in the UK," Ecological Economics, Elsevier, vol. 111(C), pages 76-85.
    16. Mertens, Kewan & Vranken, Liesbet, 2018. "Land Markets, Landslides and Social Norms: New Insights from a Discrete Choice Experiment," Working Papers 280764, Katholieke Universiteit Leuven, Centre for Agricultural and Food Economics.
    17. Nguyen, Thanh Cong & Robinson, Jackie & Whitty, Jennifer A. & Kaneko, Shinji & Nguyen, The Chinh, 2015. "Attribute non-attendance in discrete choice experiments: A case study in a developing country," Economic Analysis and Policy, Elsevier, vol. 47(C), pages 22-33.
    18. Stephane Hess & David Hensher, 2013. "Making use of respondent reported processing information to understand attribute importance: a latent variable scaling approach," Transportation, Springer, vol. 40(2), pages 397-412, February.
    19. Marit E. Kragt, 2013. "Stated and Inferred Attribute Attendance Models: A Comparison with Environmental Choice Experiments," Journal of Agricultural Economics, Wiley Blackwell, vol. 64(3), pages 719-736, September.
    20. Pluske, Jo & Burton, Michael & Rigby, Dan & Vercoe, Phil, 2013. "Cattle breeding in Northern Australia: Revealing how consumers react to alternative technologies," Australasian Agribusiness Review, University of Melbourne, Department of Agriculture and Food Systems, vol. 21, pages 1-15.
    21. Mørkbak, Morten Raun & Olsen, Søren Bøye & Campbell, Danny, 2014. "Behavioral implications of providing real incentives in stated choice experiments," Journal of Economic Psychology, Elsevier, vol. 45(C), pages 102-116.
    22. Daniel A. Brent & Lata Gangadharan & Allison Lassiter & Anke Leroux & Paul A. Raschky, 2016. "Valuing Environmental Services Provided by LocalStormwater Management," Monash Economics Working Papers 35-16, Monash University, Department of Economics.
    23. Caputo, Vincenzina & Nayga, M. Rodolfo Jr. & Sacchi, Giovanna & Scarpa, Riccardo, 2016. "Attribute non-attendance or attribute-level non-attendance? A choice experiment application on extra virgin olive oil," 2016 Annual Meeting, July 31-August 2, Boston, Massachusetts 236035, Agricultural and Applied Economics Association.
    24. Abbie A. Rogers, 2013. "Public and Expert Preference Divergence: Evidence from a Choice Experiment of Marine Reserves in Australia," Land Economics, University of Wisconsin Press, vol. 89(2), pages 346-370.
    25. Huang, Pei & McCarl, Bruce A., 2014. "Estimating Decadal Climate Variability Effects on Crop Yields: A Bayesian Hierarchical Approach," 2014 Annual Meeting, July 27-29, 2014, Minneapolis, Minnesota 169828, Agricultural and Applied Economics Association.

  20. Richard Tiffin & Kelvin Balcombe, 2011. "The determinants of technology adoption by UK farmers using Bayesian model averaging: the cases of organic production and computer usage," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 55(4), pages 579-598, October.
    See citations under working paper version above.
  21. Kelvin Balcombe & Iain Fraser, 2011. "A general treatment of ‘don't know’ responses from choice experiments," European Review of Agricultural Economics, Foundation for the European Review of Agricultural Economics, vol. 38(2), pages 171-191, June.

    Cited by:

    1. Richard Yao & Riccardo Scarpa & John Rose & James Turner, 2015. "Experimental Design Criteria and Their Behavioural Efficiency: An Evaluation in the Field," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 62(3), pages 433-455, November.
    2. Dekker, T. & Koster, P.R. & Brouwer, R., 2012. "Changing with the tide: Semi-parametric estimation of preference dynamics," Serie Research Memoranda 0005, VU University Amsterdam, Faculty of Economics, Business Administration and Econometrics.
    3. Kragt, Marit Ellen, 2013. "Comparing models of unobserved heterogeneity in environmental choice experiments," 2013 Conference (57th), February 5-8, 2013, Sydney, Australia 152198, Australian Agricultural and Resource Economics Society.
    4. Robert J. Johnston & Kevin J. Boyle & Wiktor (Vic) Adamowicz & Jeff Bennett & Roy Brouwer & Trudy Ann Cameron & W. Michael Hanemann & Nick Hanley & Mandy Ryan & Riccardo Scarpa & Roger Tourangeau & Ch, 2017. "Contemporary Guidance for Stated Preference Studies," Journal of the Association of Environmental and Resource Economists, University of Chicago Press, vol. 4(2), pages 319-405.
    5. Dekker, Thijs & Hess, Stephane & Brouwer, Roy & Hofkes, Marjan, 2016. "Decision uncertainty in multi-attribute stated preference studies," Resource and Energy Economics, Elsevier, vol. 43(C), pages 57-73.
    6. Riccardo Scarpa & Cristiano Franceschinis & Mara Thiene, 2017. "A Monte Carlo Evaluation of the Logit-Mixed Logit under Asymmetry and Multimodality," Working Papers in Economics 17/23, University of Waikato.
    7. Torres, Cati & Faccioli, Michela & Riera Font, Antoni, 2017. "Waiting or acting now? The effect on willingness-to-pay of delivering inherent uncertainty information in choice experiments," Ecological Economics, Elsevier, vol. 131(C), pages 231-240.
    8. Oehlmann, Malte & Weller, Priska & Meyerhoff, Jürgen, 2014. "Complexity-induced Status Quo Effects in Discrete Choice Experiments for Environmental Valutation," Annual Conference 2014 (Hamburg): Evidence-based Economic Policy 100616, Verein für Socialpolitik / German Economic Association.
    9. Emmanuelle Quillérou & Richard J. Thomas, 2012. "Costs of land degradation and benefits of land restoration: A review of valuation methods and suggested frameworks for inclusion into policy-making," Post-Print hal-01954793, HAL.

  22. Kelvin Balcombe & George Rapsomanikis, 2010. "An Analysis of the Impact of Research and Development on Productivity Using Bayesian Model Averaging with a Reversible Jump Algorithm," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 92(4), pages 985-998.

    Cited by:

    1. Balcombe, Kelvin & Tiffin, R, 2010. "The Determinants of Technology Adoption by UK Farmers using Bayesian Model Averaging. The Cases of Organic Production and Computer Usage," MPRA Paper 25193, University Library of Munich, Germany.

  23. Balcombe, Kelvin & Fraser, Iain & Falco, Salvatore Di, 2010. "Traffic lights and food choice: A choice experiment examining the relationship between nutritional food labels and price," Food Policy, Elsevier, vol. 35(3), pages 211-220, June.
    See citations under working paper version above.
  24. Dan Rigby & Kelvin Balcombe & Michael Burton, 2009. "Mixed Logit Model Performance and Distributional Assumptions: Preferences and GM foods," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 42(3), pages 279-295, March.

    Cited by:

    1. Janssen, Meike & Hamm, Ulrich, 2011. "Certification Logos in the Market for Organic Food: What are Consumers Willing to Pay for Different Logos?," 2011 International Congress, August 30-September 2, 2011, Zurich, Switzerland 114454, European Association of Agricultural Economists.
    2. Gillespie Rob & Kragt Marit E., 2012. "Accounting for Nonmarket Impacts in a Benefit-Cost Analysis of Underground Coal Mining in New South Wales, Australia," Journal of Benefit-Cost Analysis, De Gruyter, vol. 3(2), pages 1-29, May.
    3. Cati Torres & Sergio Colombo & Nick Hanley, 2014. "Incorrectly accounting for preference heterogeneity in choice experiments: what are the implications for welfare measurement?," Discussion Papers in Environment and Development Economics 2014-07, University of St. Andrews, School of Geography and Sustainable Development.
    4. Takama, Takeshi & Tsephel, Stanzin & Johnson, Francis X., 2012. "Evaluating the relative strength of product-specific factors in fuel switching and stove choice decisions in Ethiopia. A discrete choice model of household preferences for clean cooking alternatives," Energy Economics, Elsevier, vol. 34(6), pages 1763-1773.
    5. Domanski, Adam, 2009. "Estimating Mixed Logit Recreation Demand Models With Large Choice Sets," 2009 Annual Meeting, July 26-28, 2009, Milwaukee, Wisconsin 49413, Agricultural and Applied Economics Association.
    6. Yuan, Yuan & You, Wen & Boyle, Kevin J., 2015. "A guide to heterogeneity features captured by parametric and nonparametric mixing distributions for the mixed logit model," 2015 AAEA & WAEA Joint Annual Meeting, July 26-28, San Francisco, California 205733, Agricultural and Applied Economics Association.
    7. Doherty, Edel & Campbell, Danny & Hynes, Stephen & van Rensburg, Tom M., 2011. "The effect of using labelled alternatives in stated choice experiments: an exploration focusing on farmland walking trails in Ireland," 85th Annual Conference, April 18-20, 2011, Warwick University, Coventry, UK 108792, Agricultural Economics Society.
    8. Janssen, Meike & Hamm, Ulrich, 2014. "Governmental and private certification labels for organic food: Consumer attitudes and preferences in Germany," Food Policy, Elsevier, vol. 49(P2), pages 437-448.
    9. Balcombe, Kelvin & Burton, Michael & Rigby, Dan, 2011. "Skew and attribute non-attendance within the Bayesian mixed logit model," Journal of Environmental Economics and Management, Elsevier, vol. 62(3), pages 446-461.
    10. Agnoli, Lara & Boeri, Marco & Scarpa, Riccardo & Capitello, Roberta & Begalli, Diego, 2018. "Behavioural patterns in Mediterranean-style drinking: Generation Y preferences in alcoholic beverage consumption," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 75(C), pages 117-125.
    11. von Haefen, Roger H. & Domanski, Adam, 2018. "Estimation and welfare analysis from mixed logit models with large choice sets," Journal of Environmental Economics and Management, Elsevier, vol. 90(C), pages 101-118.
    12. Caputo, Vincenzina & Scarpa, Riccardo & Nayga, Rodolfo M. & Ortega, David L., 2018. "Are preferences for food quality attributes really normally distributed? An analysis using flexible mixing distributions," Journal of choice modelling, Elsevier, vol. 28(C), pages 10-27.
    13. Fosgerau, Mogens & Hess, Stephane, 2009. "A comparison of methods for representing random taste heterogeneity in discrete choice models," European Transport \ Trasporti Europei, ISTIEE, Institute for the Study of Transport within the European Economic Integration, issue 42, pages 1-25.
    14. Bliemer, Michiel C.J. & Rose, John M., 2013. "Confidence intervals of willingness-to-pay for random coefficient logit models," Transportation Research Part B: Methodological, Elsevier, vol. 58(C), pages 199-214.
    15. Rouwendal, Jan & de Blaeij, Arianne & Rietveld, Piet & Verhoef, Erik, 2010. "The information content of a stated choice experiment: A new method and its application to the value of a statistical life," Transportation Research Part B: Methodological, Elsevier, vol. 44(1), pages 136-151, January.

  25. Kelvin Balcombe & Iain Fraser, 2009. "Dichotomous-choice contingent valuation with 'dont know' responses and misreporting," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 24(7), pages 1137-1152.

    Cited by:

    1. Uehleke, Reinhard, 2016. "The role of question format for the support for national climate change mitigation policies in Germany and the determinants of WTP," Energy Economics, Elsevier, vol. 55(C), pages 148-156.
    2. Kelvin Balcombe & Aurelia Samuel & Iain Fraser, 2009. "Estimating WTP With Uncertainty Choice Contingent Valuation," Studies in Economics 0921, School of Economics, University of Kent.
    3. Lars Hultkrantz & Selen Savsin, 2018. "Is ‘referencing’ a remedy to hypothetical bias in value of time elicitation? Evidence from economic experiments," Transportation, Springer, vol. 45(6), pages 1827-1847, November.

  26. Balcombe, Kelvin & Fraser, Iain & Harris, Liam, 2009. "Consumer willingness to pay for in-flight service and comfort levels: A choice experiment," Journal of Air Transport Management, Elsevier, vol. 15(5), pages 221-226.

    Cited by:

    1. Kuo, Chung-Wei & Jou, Rong-Chang, 2017. "Willingness to pay for airlines’ premium economy class: The perspective of passengers," Journal of Air Transport Management, Elsevier, vol. 59(C), pages 134-142.
    2. Gao, Yi & Koo, Tay T.R., 2014. "Flying Australia–Europe via China: A qualitative analysis of the factors affecting travelers' choice of Chinese carriers using online comments data," Journal of Air Transport Management, Elsevier, vol. 39(C), pages 23-29.
    3. Tsai, Tsung-Hsien, 2016. "Homogeneous service with heterogeneous products: Relationships among airline ticket fares and purchase fences," Journal of Air Transport Management, Elsevier, vol. 55(C), pages 164-175.
    4. Koo, Tay T.R. & Hossein Rashidi, Taha & Park, Jin-Woo & Wu, Cheng-Lung & Tseng, Wen-Chun, 2017. "The effect of enhanced international air access on the demand for peripheral tourism destinations: Evidence from air itinerary choice behaviour of Korean visitors to Australia," Transportation Research Part A: Policy and Practice, Elsevier, vol. 106(C), pages 116-129.
    5. Chen, Hsi-Tien & Chao, Ching-Cheng, 2015. "Airline choice by passengers from Taiwan and China: A case study of outgoing passengers from Kaohsiung International Airport," Journal of Air Transport Management, Elsevier, vol. 49(C), pages 53-63.
    6. SeYoung Park & Won Seok Lee & Joonho Moon & Jun Heo, 2019. "Examination of Chinese Cruise Tourists’ Attributes Using a Choice Experiment," Sustainability, MDPI, Open Access Journal, vol. 11(13), pages 1-16, July.
    7. Diaconu (Maxim) Laura, 2012. "The Evolution of the Low-Cost Airlines Between 2000 and 2011. Comparative Analysis Across American and European Low-Cost Operators," Annals - Economic and Administrative Series -, Faculty of Business and Administration, University of Bucharest, vol. 6(1), pages 115-128, December.
    8. Yi-Wen Kuo & Cheng-Hsien Hsieh & Cheng-Min Feng & Wen-Ya Yeh, 2013. "Effects of price promotions on potential consumers of high-speed rail," Transportation Planning and Technology, Taylor & Francis Journals, vol. 36(8), pages 722-738, December.
    9. Henderson, Isaac Levi & Tsui, Kan Wai Hong & Ngo, Thanh & Gilbey, Andrew & Avis, Mark, 2019. "Airline brand choice in a duopolistic market: The case of New Zealand," Transportation Research Part A: Policy and Practice, Elsevier, vol. 121(C), pages 147-163.
    10. Kim, Yu Kyoung & Lee, Hyung Ryong, 2011. "Customer satisfaction using low cost carriers," Tourism Management, Elsevier, vol. 32(2), pages 235-243.
    11. Hunt, Jennifer & Truong, Dothang, 2019. "Low-fare flights across the Atlantic: Impact of low-cost, long-haul trans-Atlantic flights on passenger choice of Carrier," Journal of Air Transport Management, Elsevier, vol. 75(C), pages 170-184.
    12. Merkert, Rico & Beck, Matthew, 2017. "Value of travel time savings and willingness to pay for regional aviation," Transportation Research Part A: Policy and Practice, Elsevier, vol. 96(C), pages 29-42.
    13. Mesa-Arango, Rodrigo & Ukkusuri, Satish V., 2014. "Attributes driving the selection of trucking services and the quantification of the shipper’s willingness to pay," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 71(C), pages 142-158.
    14. Brush, Gregory J., 2019. "Similarities and differences in Asian and Western travelers’ service performance measurement, evaluation and outcomes," Journal of Retailing and Consumer Services, Elsevier, vol. 50(C), pages 351-361.
    15. Hugon-Duprat, Cindy & O'Connell, John F., 2015. "The rationale for implementing a premium economy class in the long haul markets – Evidence from the transatlantic market," Journal of Air Transport Management, Elsevier, vol. 47(C), pages 11-19.
    16. Tay T. R. Koo & Carlo Caponecchia & Ann Williamson, 2018. "How important is safety in making flight choices? Evidence from simple choice experiments," Transportation, Springer, vol. 45(1), pages 159-175, January.
    17. Jun Hwan Kim & Hyun Cheol Lee, 2019. "Understanding the Repurchase Intention of Premium Economy Passengers Using an Extended Theory of Planned Behavior," Sustainability, MDPI, Open Access Journal, vol. 11(11), pages 1-19, June.
    18. Leon, Steven & Uddin, Nizam, 2017. "Airline Ancillary Services: An Investigation into Passenger Purchase Behavior," Journal of the Transportation Research Forum, Transportation Research Forum, vol. 56(1), April.
    19. Kurtulmuşoğlu, Feride Bahar & Can, Gülin Feryal & Tolon, Metehan, 2016. "A voice in the skies: Listening to airline passenger preferences," Journal of Air Transport Management, Elsevier, vol. 57(C), pages 130-137.
    20. Maertens, Sven, 2011. "The market potential of all-premium class services on medium haul leisure routes from Germany," Journal of Air Transport Management, Elsevier, vol. 17(3), pages 181-186.

  27. Balcombe, Kelvin & Chalak, Ali & Fraser, Iain, 2009. "Model selection for the mixed logit with Bayesian estimation," Journal of Environmental Economics and Management, Elsevier, vol. 57(2), pages 226-237, March.

    Cited by:

    1. Gao, Zhifeng & House, Lisa & Jing, Xie, 2013. "Online Survey Data Quality and its Implication for Willingness-to-Pay: A Cross-Country Comparison," 2013 Annual Meeting, August 4-6, 2013, Washington, D.C. 150777, Agricultural and Applied Economics Association.
    2. Peter Lenk, 2014. "Bayesian estimation of random utility models," Chapters, in: Stephane Hess & Andrew Daly (ed.), Handbook of Choice Modelling, chapter 20, pages 457-497, Edward Elgar Publishing.
    3. Torres, Cati & Hanley, Nick & Riera, Antoni, 2011. "How wrong can you be? Implications of incorrect utility function specification for welfare measurement in choice experiments," Journal of Environmental Economics and Management, Elsevier, vol. 62(1), pages 111-121, July.
    4. Claudia Bazzani & Vincenzina Caputo & Rodolfo M. Nayga JR. & Maurizio Canavari, 2017. "Testing Commitment Cost Theory In Choice Experiments," Economic Inquiry, Western Economic Association International, vol. 55(1), pages 383-396, January.
    5. Naald, Brian Vander & Cameron, Trudy Ann, 2011. "Willingness to pay for other species' well-being," Ecological Economics, Elsevier, vol. 70(7), pages 1325-1335, May.
    6. Fontana, Magda & Iori, Martina & Nava, Consuelo Rubina, 2019. "Switching behavior in the Italian electricity retail market: Logistic and mixed effect Bayesian estimations of consumer choice," Energy Policy, Elsevier, vol. 129(C), pages 339-351.
    7. Torres, Catalina M. & Colombo, Sergio & Hanley, Nick, 2014. "Incorrectly accounting for preference heterogeneity in choice experiments: Implications for welfare measurement," Economia Agraria y Recursos Naturales, Spanish Association of Agricultural Economists, vol. 14(02), pages 1-25, December.
    8. Robert J. Johnston & Kevin J. Boyle & Wiktor (Vic) Adamowicz & Jeff Bennett & Roy Brouwer & Trudy Ann Cameron & W. Michael Hanemann & Nick Hanley & Mandy Ryan & Riccardo Scarpa & Roger Tourangeau & Ch, 2017. "Contemporary Guidance for Stated Preference Studies," Journal of the Association of Environmental and Resource Economists, University of Chicago Press, vol. 4(2), pages 319-405.
    9. Galassi, Veronica & Madlener, Reinhard, 2014. "Identifying Business Models for Photovoltaic Systems with Storage in the Italian Market: A Discrete Choice Experiment," FCN Working Papers 19/2014, E.ON Energy Research Center, Future Energy Consumer Needs and Behavior (FCN).
    10. Balogh, Péter & Békési, Dániel & Gorton, Matthew & Popp, József & Lengyel, Péter, 2016. "Consumer willingness to pay for traditional food products," Food Policy, Elsevier, vol. 61(C), pages 176-184.
    11. Arne Hole & Julie Kolstad, 2012. "Mixed logit estimation of willingness to pay distributions: a comparison of models in preference and WTP space using data from a health-related choice experiment," Empirical Economics, Springer, vol. 42(2), pages 445-469, April.
    12. Akinc, Deniz & Vandebroek, Martina, 2018. "Bayesian estimation of mixed logit models: Selecting an appropriate prior for the covariance matrix," Journal of choice modelling, Elsevier, vol. 29(C), pages 133-151.
    13. Jones, Michael S. & House, Lisa A. & Gao, Zhifeng, 2015. "Attribute Non-Attendance and Satisficing Behavior in Online Choice Experiments," 2015 International European Forum (144th EAAE Seminar), February 9-13, 2015, Innsbruck-Igls, Austria 206252, International European Forum on System Dynamics and Innovation in Food Networks.
    14. Landmann, D. & Feil, J.-H. & Lagerkvist, C.J. & Otter, V., 2018. "Designing capacity development activities of small-scale farmers in developing countries based on discrete choice experiments," 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia 277738, International Association of Agricultural Economists.
    15. Dekker, Thijs & Hess, Stephane & Brouwer, Roy & Hofkes, Marjan, 2016. "Decision uncertainty in multi-attribute stated preference studies," Resource and Energy Economics, Elsevier, vol. 43(C), pages 57-73.
    16. Balcombe, Kelvin George & Bitzios, Michael & Fraser, Iain & Haddock-Fraser, Janet, 2013. "Using Attribute Importance Rankings within Discrete Choice Experiments: An Application to Valuing Bread Attributes," 2013 Conference (57th), February 5-8, 2013, Sydney, Australia 152151, Australian Agricultural and Resource Economics Society.
    17. Sauthoff, Saramena & Danne, Michael & Mußhoff, Oliver, 2017. "To switch or not to switch? Understanding German consumers' willingness to pay for green electricity tariff attributes," DARE Discussion Papers 1707, Georg-August University of Göttingen, Department of Agricultural Economics and Rural Development (DARE).
    18. Damian Tago & Henrik Andersson & Nicolas Treich, 2014. "Pesticides and Health: A Review of Evidence on Health Effects, Valuation of Risks, and Benefit-Cost Analysis," Advances in Health Economics and Health Services Research, in: Glenn C. Blomquist & Kristian Bolin (ed.), Preference Measurement in Health, volume 24, pages 203-295, Emerald Publishing Ltd.
    19. Paleti, Rajesh, 2018. "Generalized multinomial probit Model: Accommodating constrained random parameters," Transportation Research Part B: Methodological, Elsevier, vol. 118(C), pages 248-262.
    20. Mohammed H. Alemu & Søren B. Olsen, 2017. "Can a Repeated Opt-Out Reminder remove hypothetical bias in discrete choice experiments? An application to consumer valuation of novel food products," IFRO Working Paper 2017/05, University of Copenhagen, Department of Food and Resource Economics.
    21. Kelvin Balcombe & Iain Fraser & Salvatore Di Falco, 2009. "Traffic Lights and Food Choice: A Choice Experiment Examining the Relationship Between Nutritional Food Labels and Price," Studies in Economics 0915, School of Economics, University of Kent.
    22. Angel Bujosa & Antoni Riera & Robert Hicks, 2010. "Combining Discrete and Continuous Representations of Preference Heterogeneity: A Latent Class Approach," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 47(4), pages 477-493, December.
    23. Grisolía, José M. & Longo, Alberto & Boeri, Marco & Hutchinson, George & Kee, Frank, 2013. "Trading off dietary choices, physical exercise and cardiovascular disease risks," Social Science & Medicine, Elsevier, vol. 93(C), pages 130-138.
    24. Bazzani, Claudia & Nayga, Rodolfo M. Jr. & Caputo, Vincenzina, "undated". "Does circadian rhythm affect consumer evaluation for food products? An experimental study," 2017 Annual Meeting, July 30-August 1, Chicago, Illinois 261215, Agricultural and Applied Economics Association.
    25. Campbell, Danny & Mørkbak, Morten Raun & Olsen, Søren Bøye, 2018. "The link between response time and preference, variance and processing heterogeneity in stated choice experiments," Journal of Environmental Economics and Management, Elsevier, vol. 88(C), pages 18-34.
    26. MORITA Tamaki & MANAGI Shunsuke, 2010. "Eco-labeling of Fish and Fishery Products in Japan: Analysis of a web survey (Japanese)," Discussion Papers (Japanese) 10037, Research Institute of Economy, Trade and Industry (RIETI).
    27. Breeze, T.D. & Bailey, A.P. & Potts, S.G. & Balcombe, K.G., 2015. "A stated preference valuation of the non-market benefits of pollination services in the UK," Ecological Economics, Elsevier, vol. 111(C), pages 76-85.
    28. Kelvin Balcombe & Iain Fraser, 2009. "A General Treatment of Non-Response Data From Choice Experiments Using Logit Models," Studies in Economics 0916, School of Economics, University of Kent.
    29. Zander, Kerstin K. & Signorello, Giovanni & De Salvo, Maria & Gandini, Gustavo & Drucker, Adam G., 2013. "Assessing the total economic value of threatened livestock breeds in Italy: Implications for conservation policy," Ecological Economics, Elsevier, vol. 93(C), pages 219-229.
    30. Rouwendal, Jan & de Blaeij, Arianne & Rietveld, Piet & Verhoef, Erik, 2010. "The information content of a stated choice experiment: A new method and its application to the value of a statistical life," Transportation Research Part B: Methodological, Elsevier, vol. 44(1), pages 136-151, January.
    31. Doherty, Edel & Campbell, Danny & Hynes, Stephen, 2012. "Exploring cost heterogeneity in recreational demand," Working Papers 148832, National University of Ireland, Galway, Socio-Economic Marine Research Unit.
    32. Campbell, Danny & Doherty, Edel & Gibson, Vikki, 2011. "Choosing ‘buy none’ in food choice analysis: the role of utility balance," 85th Annual Conference, April 18-20, 2011, Warwick University, Coventry, UK 108951, Agricultural Economics Society.
    33. Matthews, Yvonne & Scarpa, Riccardo & Marsh, Dan, 2017. "Stability of Willingness-to-Pay for Coastal Management: A Choice Experiment Across Three Time Periods," Ecological Economics, Elsevier, vol. 138(C), pages 64-73.
    34. Huang, Pei & McCarl, Bruce A., 2014. "Estimating Decadal Climate Variability Effects on Crop Yields: A Bayesian Hierarchical Approach," 2014 Annual Meeting, July 27-29, 2014, Minneapolis, Minnesota 169828, Agricultural and Applied Economics Association.
    35. Becker, Felix & Danaf, Mazen & Song, Xiang & Atasoy, Bilge & Ben-Akiva, Moshe, 2018. "Bayesian estimator for Logit Mixtures with inter- and intra-consumer heterogeneity," Transportation Research Part B: Methodological, Elsevier, vol. 117(PA), pages 1-17.
    36. Asioli, Daniele & Bazzani, Claudia & Nayga, Rodolfo M., 2018. "Consumers’ Valuation for Lab Produced Meat: An Investigation of Naming Effects," 2018 Annual Meeting, August 5-7, Washington, D.C. 274066, Agricultural and Applied Economics Association.
    37. Chandra R. Bhat & Patrícia S. Lavieri, 2018. "A new mixed MNP model accommodating a variety of dependent non-normal coefficient distributions," Theory and Decision, Springer, vol. 84(2), pages 239-275, March.

  28. Ali Chalak & Kelvin Balcombe & Alastair Bailey & Iain Fraser, 2008. "Pesticides, Preference Heterogeneity and Environmental Taxes," Journal of Agricultural Economics, Wiley Blackwell, vol. 59(3), pages 537-554, September.

    Cited by:

    1. Danne, Michael & Mußhoff, Oliver & Schulte, Michael, 2018. "Analysing the importance of glyphosate as part of agricultural srategies: A discrete choice experiment," DARE Discussion Papers 1802, Georg-August University of Göttingen, Department of Agricultural Economics and Rural Development (DARE).
    2. Raja Chakir & Maia David & Estelle Gozlan & Aminata Sangare, 2016. "Valuing the Impacts of An Invasive Biological Control Agent: A Choice Experiment on the Asian Ladybird in France," Journal of Agricultural Economics, Wiley Blackwell, vol. 67(3), pages 619-638, September.
    3. Cokou Patrice Kpadé & Edouard Roméo Mensah & Michel Fok & Jupiter Ndjeunga, 2017. "Cotton farmers’ willingness to pay for pest management services in northern Benin," Agricultural Economics, International Association of Agricultural Economists, vol. 48(1), pages 105-114, January.
    4. Zhou, Jiehong & Yang, Zhiying & Li, Kai & Yu, Xiaohua, 2019. "Direct intervention or indirect support? The effects of cooperative control measures on farmers’ implementation of quality and safety standards," Food Policy, Elsevier, vol. 86(C), pages 1-1.
    5. Sharma, Abhijit & Bailey, Alastair & Fraser, Iain, 2009. "Technology Adoption And Pest Control Strategies Among UK Cereal Farmers: Evidence from Parametric and Nonparametric Count Data Models," 2009 Conference, August 16-22, 2009, Beijing, China 51335, International Association of Agricultural Economists.
    6. Damian Tago & Henrik Andersson & Nicolas Treich, 2014. "Pesticides and Health: A Review of Evidence on Health Effects, Valuation of Risks, and Benefit-Cost Analysis," Advances in Health Economics and Health Services Research, in: Glenn C. Blomquist & Kristian Bolin (ed.), Preference Measurement in Health, volume 24, pages 203-295, Emerald Publishing Ltd.
    7. Kloos, Julia & Tsegai, Daniel W., 2009. "Preferences for domestic water services in the Middle Olifants sub-basin of South Africa," Discussion Papers 49970, University of Bonn, Center for Development Research (ZEF).
    8. Glenk, Klaus & Hall, Clare & Liebe, Ulf & Meyerhoff, Jürgen, 2012. "Preferences of Scotch malt whisky consumers for changes in pesticide use and origin of barley," Food Policy, Elsevier, vol. 37(6), pages 719-731.
    9. Koistinen, Laura & Pouta, Eija & Heikkila, Jaakko & Forsman-Hugg, Sari & Kotro, Jaana & Makela, Jarmo & Niva, M., 2011. "Impact of meat type, methods of production, fat content, price and carbon footprint information on meat choice," 2011 International Congress, August 30-September 2, 2011, Zurich, Switzerland 114710, European Association of Agricultural Economists.

  29. Laure Latruffe & Sophia Davidova & Kelvin Balcombe, 2008. "Application of a double bootstrap to investigation of determinants of technical efficiency of farms in Central Europe," Journal of Productivity Analysis, Springer, vol. 29(2), pages 183-191, April.

    Cited by:

    1. Muhammad Arif Watto & Amin W. Mugera, 2014. "Measuring Production and Irrigation Efficiencies of Rice Farms: Evidence from the Punjab Province, Pakistan," Asian Economic Journal, East Asian Economic Association, vol. 28(3), pages 301-322, September.
    2. Mariarosaria Agostino & Sabrina Ruberto & Francesco Trivieri, 2018. "Lasting lending relationships and technical efficiency. Evidence on European SMEs," Journal of Productivity Analysis, Springer, vol. 50(1), pages 25-40, October.
    3. Skevas, Ioannis & Emvalomatis, Grigorios & Brümmer, Bernhard, 2018. "Productivity growth measurement and decomposition under a dynamic inefficiency specification: The case of German dairy farms," European Journal of Operational Research, Elsevier, vol. 271(1), pages 250-261.
    4. Lars-Erik Borge & Marianne Haraldsvik, 2009. "Efficiency potential and determinants of efficiency: an analysis of the care for the elderly sector in Norway," International Tax and Public Finance, Springer;International Institute of Public Finance, vol. 16(4), pages 468-486, August.
    5. Esmeralda A. Ramalho, & Joaquim J.S. Ramalho & Pedro D. Henriques, 2010. "Fractional regression models for second stage DEA efficiency analyses," CEFAGE-UE Working Papers 2010_01, University of Evora, CEFAGE-UE (Portugal).
    6. Liu, John S. & Lu, Louis Y.Y. & Lu, Wen-Min & Lin, Bruce J.Y., 2013. "Data envelopment analysis 1978–2010: A citation-based literature survey," Omega, Elsevier, vol. 41(1), pages 3-15.
    7. Ioannis Skevas & Grigorios Emvalomatis & Bernhard Brümmer, 2018. "The effect of farm characteristics on the persistence of technical inefficiency: a case study in German dairy farming," European Review of Agricultural Economics, Foundation for the European Review of Agricultural Economics, vol. 45(1), pages 3-25.
    8. Bernardino Benito & José Solana & María-Rocío Moreno, 2014. "Explaining efficiency in municipal services providers," Journal of Productivity Analysis, Springer, vol. 42(3), pages 225-239, December.
    9. Dakpo, Hervé K & Jeanneaux, Philippe & Latruffe, Laure, 2014. "Inclusion of undesirable outputs in production technology modeling: The case of greenhouse gas emissions in French meat sheep farming," Working Papers 207806, Institut National de la recherche Agronomique (INRA), Departement Sciences Sociales, Agriculture et Alimentation, Espace et Environnement (SAE2).
    10. Laure Latruffe & Boris E. Bravo-Ureta & Alain Carpentier & Yann Desjeux & Víctor H. Moreira, 2017. "Subsidies and Technical Efficiency in Agriculture: Evidence from European Dairy Farms," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 99(3), pages 783-799.
    11. Devicienti, Francesco & Manello, Alessandro & Vannoni, Davide, 2016. "Technical Efficiency, Unions and Decentralized Labor Contracts," IZA Discussion Papers 10292, Institute of Labor Economics (IZA).
    12. Buckley, Cathal & Wall, David P. & Moran, Brian & O'Neill, Stephen & Murphy, Paul N.C., 2015. "Post EU Nitrates Directive implementation: an examination of the sustainable use of phosphorus in milk production," 89th Annual Conference, April 13-15, 2015, Warwick University, Coventry, UK 204207, Agricultural Economics Society.
    13. Kourtesi, Sofia & De Witte, Kristof & Polymeros, Apostolos, 2016. "Technical Efficiency in the Agricultural Sector - Evidence from a Conditional Quantile-Based Approach," Agricultural Economics Review, Greek Association of Agricultural Economists, vol. 17(2), June.
    14. Sipilainen, Timo & Huhtala, Anni, 2012. "Opportunity Costs of Providing Crop Diversity in Organic and Conventional Farming," 2012 Conference, August 18-24, 2012, Foz do Iguacu, Brazil 126652, International Association of Agricultural Economists.
    15. Carlos Barros & Pedro Garcia-del-Barrio, 2011. "Productivity drivers and market dynamics in the Spanish first division football league," Journal of Productivity Analysis, Springer, vol. 35(1), pages 5-13, February.
    16. Jerzy Marzec & Andrzej Pisulewski, 2017. "The Effect of CAP Subsidies on the Technical Efficiency of Polish Dairy Farms," Central European Journal of Economic Modelling and Econometrics, CEJEME, vol. 9(3), pages 243-273, September.
    17. Dakpo, K & Jeanneaux, Philippe & Latruffee, Laure, 2015. "Empirical comparison of pollution generating technologies in nonparametric modelling: The case of greenhouse gas emissions in French sheep meat farming," 2015 Conference, August 9-14, 2015, Milan, Italy 211557, International Association of Agricultural Economists.
    18. Fertö, Imre, 2014. "The Structural Transformation in Central and Eastern European Agriculture," CEI Working Paper Series 2014-9, Center for Economic Institutions, Institute of Economic Research, Hitotsubashi University.
    19. María Pérez Urdiales & Alfons Oude Lansink & Alan Wall, 2016. "Eco-efficiency Among Dairy Farmers: The Importance of Socio-economic Characteristics and Farmer Attitudes," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 64(4), pages 559-574, August.
    20. Sofia KOURTESI & Panos FOUSEKIS & Apostolos POLYMEROS, 2012. "Conditional Efficiency Estimation With Environmental Variables: Evidence From Greek Cereal Farms," Scientific Bulletin - Economic Sciences, University of Pitesti, vol. 11(1), pages 43-52.
    21. Baležentis, Tomas & De Witte, Kristof, 2015. "One- and multi-directional conditional efficiency measurement – Efficiency in Lithuanian family farms," European Journal of Operational Research, Elsevier, vol. 245(2), pages 612-622.
    22. Kent Olson & Linh Vu, 2009. "Economic efficiency in farm households: trends, explanatory factors, and estimation methods," Agricultural Economics, International Association of Agricultural Economists, vol. 40(5), pages 587-599, September.
    23. Cechura, Lukas & Hockmann, Heinrich & Mala, Zdenka & Maly, Michal, 2014. "Productivity And Efficiency Differences Between Czech And Slovak Milk Producers," Review of Agricultural and Applied Economics (RAAE), Faculty of Economics and Management, Slovak Agricultural University in Nitra, vol. 17(2), pages 1-5, October.
    24. Banker, Rajiv & Natarajan, Ram & Zhang, Daqun, 2019. "Two-stage estimation of the impact of contextual variables in stochastic frontier production function models using Data Envelopment Analysis: Second stage OLS versus bootstrap approaches," European Journal of Operational Research, Elsevier, vol. 278(2), pages 368-384.
    25. Mehdi Rhaiem, 2017. "Measurement and determinants of academic research efficiency: a systematic review of the evidence," Scientometrics, Springer;Akadémiai Kiadó, vol. 110(2), pages 581-615, February.
    26. Kostlivý, V. & Fuksová, Z. & Dubec, J., 2017. "Farms Productivity Developments Based on Malmquist Production Indices," AGRIS on-line Papers in Economics and Informatics, Czech University of Life Sciences Prague, Faculty of Economics and Management, vol. 9(2), June.
    27. Bravo-Ureta, Boris E. & Jara-Rojas, Roberto & Lachaud, Michee A. & Moreira L., Victor H. & Scheierling, Susanne M., 2015. "Water and Farm Efficiency: Insights from the Frontier Literature," 2015 AAEA & WAEA Joint Annual Meeting, July 26-28, San Francisco, California 206076, Agricultural and Applied Economics Association.
    28. Buckley, Cathal & Wall, David P. & Moran, Brian & O'Neill, Stephen & Murphy, Paul N.C., 2016. "Phosphorus management on Irish dairy farms post controls introduced under the EU Nitrates Directive," Agricultural Systems, Elsevier, vol. 142(C), pages 1-8.
    29. Thibbotuwawa, Manoj & Mugera, Amin & White, Ben, 2013. "Production Efficiency and Technology Gap in Irrigated and Rain-fed Rice Farming Systems in Sri Lanka: Non Parametric Approach," 2013 Conference (57th), February 5-8, 2013, Sydney, Australia 152181, Australian Agricultural and Resource Economics Society.
    30. Glass, J. Colin & McKillop, Donal G. & Rasaratnam, Syamarlah, 2010. "Irish credit unions: Investigating performance determinants and the opportunity cost of regulatory compliance," Journal of Banking & Finance, Elsevier, vol. 34(1), pages 67-76, January.
    31. Daniel Gaitán-Cremaschi & Frits K. Van Evert & Don M. Jansen & Miranda P. M. Meuwissen & Alfons G. J. M. Oude Lansink, 2018. "Assessing the Sustainability Performance of Coffee Farms in Vietnam: A Social Profit Inefficiency Approach," Sustainability, MDPI, Open Access Journal, vol. 10(11), pages 1-23, November.
    32. Manevska-Tasevska, Gordana, 2011. "Efficiency analysis of commercial grape-producing family farms in the Republic of Macedonia," Department of Economics publications 8496, Swedish University of Agricultural Sciences, Department of Economics.

  30. Kelvin Balcombe & George Rapsomanikis, 2008. "Bayesian Estimation and Selection of Nonlinear Vector Error Correction Models: The Case of the Sugar-Ethanol-Oil Nexus in Brazil," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 90(3), pages 658-668.

    Cited by:

    1. Oliveira, Sydnei Marssal de & Ribeiro, Celma de Oliveira & Cicogna, Maria Paula Vieira, 2018. "Uncertainty effects on production mix and on hedging decisions: The case of Brazilian ethanol and sugar," Energy Economics, Elsevier, vol. 70(C), pages 516-524.
    2. Rajcaniova, Miroslava & Drabik, Dusan & Ciaian, Pavel, 2013. "How policies affect international biofuel price linkages," Energy Policy, Elsevier, vol. 59(C), pages 857-865.
    3. Hernandez, Manuel A. & Gardebroek, Cornelis, 2012. "Do energy prices stimulate food price volatility? Examining volatility transmission between US oil, ethanol and corn markets," 2012 Annual Meeting, August 12-14, 2012, Seattle, Washington 124583, Agricultural and Applied Economics Association.
    4. Enders Walter & Jones Paul, 2016. "Grain prices, oil prices, and multiple smooth breaks in a VAR," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 20(4), pages 399-419, September.
    5. Zhang, Zibin & Lohr, Luanne & Escalante, Cesar & Wetzstein, Michael, 2010. "Food versus fuel: What do prices tell us?," Energy Policy, Elsevier, vol. 38(1), pages 445-451, January.
    6. Stephan Brosig & Thomas Glauben & Linde Götz & Enno‐Burghard Weitzel & Ahmet Bayaner, 2011. "The Turkish wheat market: spatial price transmission and the impact of transaction costs," Agribusiness, John Wiley & Sons, Ltd., vol. 27(2), pages 147-161, Spring.
    7. Busse, S. & Brümmer, B. & Ihle, R., 2011. "Investigating rapeseed price volatilities in the course of the food crisis," Proceedings “Schriften der Gesellschaft für Wirtschafts- und Sozialwissenschaften des Landbaues e.V.”, German Association of Agricultural Economists (GEWISOLA), vol. 46, March.
    8. Shawkat Hammoudeh & Soodabeh Sarafrazi & Chia-Lin Chang & Michael McAleer, 2011. "The Dynamics of Energy-Grain Prices with Open Interest," KIER Working Papers 776, Kyoto University, Institute of Economic Research.
    9. Serra, Teresa & Gil, José M., 2012. "Biodiesel as a motor fuel price stabilization mechanism," Energy Policy, Elsevier, vol. 50(C), pages 689-698.
    10. Mohcine Bakhat & Klaas WŸrzburg, 2013. "Price Relationships of Crude Oil and Food Commodities," Working Papers fa06-2013, Economics for Energy.
    11. Natanelov, Valeri & McKenzie, Andrew M. & Van Huylenbroeck, Guido, 2013. "Crude oil–corn–ethanol – nexus: A contextual approach," Energy Policy, Elsevier, vol. 63(C), pages 504-513.
    12. Arnade, Carlos Anthony & Calvin, Linda & Kuchler, Fred, 2009. "Food Safety and Spinach Demand: A Shock Correction Model," 2009 Annual Meeting, July 26-28, 2009, Milwaukee, Wisconsin 49208, Agricultural and Applied Economics Association.
    13. Arnade, Carlos & Kuchler, Fred & Calvin, Linda, 2011. "Food Safety and Spinach Demand: A Generalized Error Correction Model," Agricultural and Resource Economics Review, Cambridge University Press, vol. 40(2), pages 251-265, September.
    14. Capitani, Daniel Henrique Dario, 2014. "Biofuels versus food: How much Brazilian ethanol production can affect domestic food prices," 2014 Annual Meeting, July 27-29, 2014, Minneapolis, Minnesota 170267, Agricultural and Applied Economics Association.
    15. Algieri, Bernardina, 2014. "The influence of biofuels, economic and financial factors on daily returns of commodity futures prices," Energy Policy, Elsevier, vol. 69(C), pages 227-247.
    16. Abdelradi, Fadi & Serra, Teresa, 2015. "Food–energy nexus in Europe: Price volatility approach," Energy Economics, Elsevier, vol. 48(C), pages 157-167.
    17. Chia-Hsing Huang & Liang-Chun Ho, 2011. "Do bio-fuel policies lead to speculative behavior?," Journal of Financial Economic Policy, Emerald Group Publishing, vol. 3(2), pages 161-174, May.
    18. Ajanovic, Amela, 2011. "Biofuels versus food production: Does biofuels production increase food prices?," Energy, Elsevier, vol. 36(4), pages 2070-2076.
    19. Ramazan Sari & Shawkat Hammoudeh & Chia-Lin Chang & Michael McAleer, 2011. "Causality Between Market Liquidity and Depth for Energy and Grains," Documentos de Trabajo del ICAE 2011-10, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
    20. Luciene Gomes & Silvio J. C. Simões & Eloi Lennon Dalla Nora & Eráclito Rodrigues de Sousa-Neto & Maria Cristina Forti & Jean Pierre H. B. Ometto, 2019. "Agricultural Expansion in the Brazilian Cerrado: Increased Soil and Nutrient Losses and Decreased Agricultural Productivity," Land, MDPI, Open Access Journal, vol. 8(1), pages 1-26, January.
    21. López Cabrera, Brenda & Schulz, Franziska, 2016. "Volatility linkages between energy and agricultural commodity prices," Energy Economics, Elsevier, vol. 54(C), pages 190-203.
    22. Du, Xiaodong & McPhail, Lihong Lu, 2011. "Inside the Black Box: Price Linkage and Transmission Between Energy and Agricultural Markets," 2011 Annual Meeting, July 24-26, 2011, Pittsburgh, Pennsylvania 103268, Agricultural and Applied Economics Association.
    23. Araujo-Enciso, Sergio Rene, 2011. "The Takayama and Judge Price and Allocation Model and its Application in Non-linear Techniques for Spatial Market Integration," 2011 International Congress, August 30-September 2, 2011, Zurich, Switzerland 114225, European Association of Agricultural Economists.
    24. Carpio, Lucio Guido Tapia, 2019. "The effects of oil price volatility on ethanol, gasoline, and sugar price forecasts," Energy, Elsevier, vol. 181(C), pages 1012-1022.
    25. Serra, Teresa, 2011. "Volatility Spillovers between Food and Energy Markets, A Semiparametric Approach," 2011 International Congress, August 30-September 2, 2011, Zurich, Switzerland 115997, European Association of Agricultural Economists.
    26. Serra, Teresa & Zilberman, David & Gil, Jose Maria & Goodwin, Barry K., 2008. "Nonlinearities in the US corn-ethanol-oil price system," 2008 Annual Meeting, July 27-29, 2008, Orlando, Florida 6512, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    27. Capitani, Daniel Henrique Dario & Tonin, Julyerme M. & Cruz, Jose Cesar, 2017. "Integration and hedging efficiency between the Brazilian and the U.S. ethanol markets," 2017 Annual Meeting, July 30-August 1, Chicago, Illinois 258520, Agricultural and Applied Economics Association.
    28. Drabik, Dusan & de Gorter, Harry & Just, David R. & Timilsina, Govinda R., 2014. "An Economic Model of Brazil’s Ethanol-Sugar Markets and Impacts of Fuel Policies," 2014 International Congress, August 26-29, 2014, Ljubljana, Slovenia 182709, European Association of Agricultural Economists.
    29. Areal, Francisco José & Balcombe, Kevin & Rapsomanikis, George, 2016. "Testing for bubbles in agriculture commodity markets," Economia Agraria y Recursos Naturales, Spanish Association of Agricultural Economists, vol. 16(01), June.
    30. Taghizadeh-Hesary, Farhad & Rasoulinezhad, Ehsan & Yoshino, Naoyuki, 2018. "Volatility Linkages between Energy and Food Prices: Case of Selected Asian Countries," ADBI Working Papers 829, Asian Development Bank Institute.
    31. Luca Barbaglia & Ines Wilms & Christophe Croux, 2016. "Commodity dynamics: a sparse multi-class approach," Working Papers of Department of Decision Sciences and Information Management, Leuven 538113, KU Leuven, Faculty of Economics and Business (FEB), Department of Decision Sciences and Information Management, Leuven.
    32. Deborah Bentivoglio & Adele Finco & Mirian Rumenos Piedade Bacchi, 2016. "Interdependencies between Biofuel, Fuel and Food Prices: The Case of the Brazilian Ethanol Market," Energies, MDPI, Open Access Journal, vol. 9(6), pages 1-16, June.
    33. Elmarzougui, Eskandar & Larue, Bruno, 2011. "On the Evolving Relationship between Corn and Oil Prices," Working Papers 118580, University of Laval, Center for Research on the Economics of the Environment, Agri-food, Transports and Energy (CREATE).
    34. Nolte, Stephan & Grethe, Harald, 2008. "Der Markt für Zucker," German Journal of Agricultural Economics, Humboldt-Universitaet zu Berlin, Department for Agricultural Economics, vol. 57(01), pages 1-9.
    35. Friederike Greb & Stephan von Cramon-Taubadel & Tatyana Krivobokova & Axel Munk, 2011. "The estimation of threshold models in price transmission analysis," Courant Research Centre: Poverty, Equity and Growth - Discussion Papers 103, Courant Research Centre PEG, revised 08 Oct 2012.
    36. Bentivoglio, Deborah & Finco, Adele & Bacchi, Mirian, 2015. "Examining Price Transmission between Fuels and Food Prices: the Brazilian Sugar-Ethanol Market," 2015 Conference, August 9-14, 2015, Milan, Italy 211327, International Association of Agricultural Economists.
    37. Huber, Florian & Zörner, Thomas O., 2019. "Threshold cointegration in international exchange rates:A Bayesian approach," International Journal of Forecasting, Elsevier, vol. 35(2), pages 458-473.
    38. Busse, Stefan & Ihle, Rico, 2009. "German Rapeseed Oil and Biodiesel Pricing under Changing Market Conditions: A Markov-switching Vector Error Correction Model Approach," 2009 Conference, August 16-22, 2009, Beijing, China 51032, International Association of Agricultural Economists.
    39. Saghaian, Sayed H. & Nemati, Mehdi & Walters, Cory G. & Chen, Bo, 2017. "Asymmetric Price Volatility Interaction between U.S. Food and Energy Markets," 2017 Annual Meeting, July 30-August 1, Chicago, Illinois 258240, Agricultural and Applied Economics Association.
    40. Serra, Teresa & Gil, Jose Maria, 2012. "Price volatility in food markets: can stock building mitigate price fluctuations?," 2012 Conference, August 18-24, 2012, Foz do Iguacu, Brazil 126055, International Association of Agricultural Economists.
    41. Mofya-Mukuka, Rhoda & Abdulai, Awudu, 2013. "Policy reforms and asymmetric price transmission in the Zambian and Tanzanian coffee markets," Economic Modelling, Elsevier, vol. 35(C), pages 786-795.
    42. Mofya-Mukuka, Rhoda & Abdulai, Awudu, 2013. "Effects of Policy Reforms on Price Transmission in Coffee Markets: Evidence from Zambia and Tanzania," Food Security Collaborative Working Papers 171870, Michigan State University, Department of Agricultural, Food, and Resource Economics.
    43. Arnade, Carlos & Hoffman, Linwood, 2016. "Maize Price Relationships in a Changing International Market: Have Brazil and/or Ukraine Crossed a Threshold?," 2017 Allied Social Sciences Association (ASSA) Annual Meeting, January 6-8, 2017, Chicago, Illinois 250116, Agricultural and Applied Economics Association.
    44. Listorti, Giulia & Esposti, Roberto, 2012. "Horizontal Price Transmission in Agricultural Markets: Fundamental Concepts and Open Empirical Issues," Bio-based and Applied Economics Journal, Italian Association of Agricultural and Applied Economics (AIEAA), vol. 1(1), pages 1-28, April.
    45. Pozo, Veronica F. & Bejan, Vladimir & Bachmeier, Lance, 2017. "Are Price Transmissions between U.S. Energy and Corn Markets Asymmetric?," 2017 Annual Meeting, July 30-August 1, Chicago, Illinois 258232, Agricultural and Applied Economics Association.
    46. Qiu, Cheng & Colson, Gregory & Escalante, Cesar & Wetzstein, Michael, 2012. "Considering macroeconomic indicators in the food before fuel nexus," Energy Economics, Elsevier, vol. 34(6), pages 2021-2028.
    47. Hochman, Gal & Rajagopal, Deepak & Timilsina, Govinda & Zilberman, David, 2011. "The role of inventory adjustments in quantifying factors causing food price inflation," Policy Research Working Paper Series 5744, The World Bank.
    48. Balcombe, Kelvin, 2009. "The Nature and Determinants of Volatility in Agricultural Prices," MPRA Paper 24819, University Library of Munich, Germany.
    49. Greb, Friederike & Krivobokova, Tatyana & von Cramon-Taubadel, Stephan & Munk, Axel, 2011. "On threshold estimation in threshold vector error correction models," 2011 International Congress, August 30-September 2, 2011, Zurich, Switzerland 114599, European Association of Agricultural Economists.
    50. Peri, Massimo & Baldi, Lucia, 2010. "Vegetable oil market and biofuel policy: An asymmetric cointegration approach," Energy Economics, Elsevier, vol. 32(3), pages 687-693, May.
    51. Hassouneh, Islam & Serra, Teresa & Gil, Jose Maria, 2011. "Non-parametric and Parametric Modeling of Biodiesel - Sunflower Oil - Crude Oil Price Relationships," 2011 International Congress, August 30-September 2, 2011, Zurich, Switzerland 114554, European Association of Agricultural Economists.
    52. Lima, Cristiane Rocha Albuquerque & de Melo, Gabriel Rivas & Stosic, Borko & Stosic, Tatijana, 2019. "Cross-correlations between Brazilian biofuel and food market: Ethanol versus sugar," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 513(C), pages 687-693.
    53. Ahmed Ghorbel & Wajdi Hamma & Anis Jarboui, 2017. "Dependence between oil and commodities markets using time-varying Archimedean copulas and effectiveness of hedging strategies," Journal of Applied Statistics, Taylor & Francis Journals, vol. 44(9), pages 1509-1542, July.
    54. Du, Xiaodong & Carriquiry, Miguel A., 2013. "Flex-fuel vehicle adoption and dynamics of ethanol prices: lessons from Brazil," Energy Policy, Elsevier, vol. 59(C), pages 507-512.
    55. Trujillo-Barrera, Andres & Mallory, Mindy L. & Garcia, Philip, 2012. "Volatility Spillovers in U.S. Crude Oil, Ethanol, and Corn Futures Markets," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 37(2), pages 1-16, August.
    56. Saghaian, Sayed & Nemati, Mehdi & Walters, Cory & Chen, Bo, 2018. "Asymmetric Price Volatility Transmission between U.S. Biofuel, Corn, and Oil Markets," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 43(1), January.
    57. Karel Janda & Ladislav Kristoufek, 2019. "The relationship between fuel and food prices: Methods, outcomes, and lessons for commodity price risk management," CAMA Working Papers 2019-20, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    58. Mugera, Harriet & Gilbert, Christopher, 2015. "Structural Change in the Relationship Between Energy and Food Prices," 2015 Conference, August 9-14, 2015, Milan, Italy 212505, International Association of Agricultural Economists.
    59. Catherine Hausman, 2012. "Biofuels and Land Use Change: Sugarcane and Soybean Acreage Response in Brazil," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 51(2), pages 163-187, February.
    60. Aynur Pala, 2013. "Structural Breaks, Cointegration, and Causality by VECM Analysis of Crude Oil and Food Price," International Journal of Energy Economics and Policy, Econjournals, vol. 3(3), pages 238-246.
    61. Cheng, Sheng & Cao, Yan, 2019. "On the relation between global food and crude oil prices: An empirical investigation in a nonlinear framework," Energy Economics, Elsevier, vol. 81(C), pages 422-432.
    62. Albarracín E., Eva Susana & Gamboa, Juan C. Rodríguez & Marques, Elaine C.M. & Stosic, Tatijana, 2019. "Complexity analysis of Brazilian agriculture and energy market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 523(C), pages 933-941.
    63. Taghizadeh-Hesary, Farhad & Rasoulinezhad, Ehsan & Yoshino, Naoyuki, 2019. "Energy and Food Security: Linkages through Price Volatility," Energy Policy, Elsevier, vol. 128(C), pages 796-806.
    64. Hassouneh, Islam & Serra, Teresa & Goodwin, Barry K. & Gil, José M., 2012. "Non-parametric and parametric modeling of biodiesel, sunflower oil, and crude oil price relationships," Energy Economics, Elsevier, vol. 34(5), pages 1507-1513.
    65. Eskandar Elmarzougui & Bruno Larue, 2011. "On the Evolving Relationship between Corn and Oil Prices," Cahiers de recherche CREATE 2011-3, CREATE.
    66. Walter Enders & Matthew T. Holt, 2014. "The Evolving Relationships between Agricultural and Energy Commodity Prices: A Shifting-Mean Vector Autoregressive Analysis," NBER Chapters, in: The Economics of Food Price Volatility, pages 135-187, National Bureau of Economic Research, Inc.
    67. Sanders, Daniel J. & Balagtas, Joseph Valdes & Gruere, Guillaume P., 2011. "Revisiting the palm oil boom: An examination of consumption in the oils complex," 2011 Annual Meeting, July 24-26, 2011, Pittsburgh, Pennsylvania 103726, Agricultural and Applied Economics Association.
    68. Roberto Pasqualino & Irene Monasterolo & Aled Jones, 2019. "An Integrated Global Food and Energy Security System Dynamics Model for Addressing Systemic Risk," Sustainability, MDPI, Open Access Journal, vol. 11(14), pages 1-20, July.
    69. Mourad Zmami & Ousama Ben-Salha, 2019. "Does Oil Price Drive World Food Prices? Evidence from Linear and Nonlinear ARDL Modeling," Economies, MDPI, Open Access Journal, vol. 7(1), pages 1-18, February.
    70. Peri, Massimo & Baldi, Lucia, 2013. "The effect of biofuel policies on feedstock market: Empirical evidence for rapeseed oil prices in EU," Resource and Energy Economics, Elsevier, vol. 35(1), pages 18-37.
    71. Serra, Teresa & Zilberman, David, 2013. "Biofuel-related price transmission literature: A review," Energy Economics, Elsevier, vol. 37(C), pages 141-151.
    72. Pal, Debdatta & Mitra, Subrata K., 2017. "Time-frequency contained co-movement of crude oil and world food prices: A wavelet-based analysis," Energy Economics, Elsevier, vol. 62(C), pages 230-239.
    73. McPhail, Lihong Lu, 2011. "Assessing the impact of US ethanol on fossil fuel markets: A structural VAR approach," Energy Economics, Elsevier, vol. 33(6), pages 1177-1185.

  31. Laure Latruffe & Sophia Davidova & Kelvin Balcombe, 2008. "Productivity change in Polish agriculture: an illustration of a bootstrapping procedure applied to Malmquist indices," Post-Communist Economies, Taylor & Francis Journals, vol. 20(4), pages 449-460.

    Cited by:

    1. Tomas Baležentis & Irena Kriščiukaitienė & Alvydas Baležentis, 2014. "A nonparametric analysis of the determinants of family farm efficiency dynamics in Lithuania," Agricultural Economics, International Association of Agricultural Economists, vol. 45(5), pages 589-599, September.
    2. Makieła, Kamil & Marzec, Jerzy & Pisulewski, Andrzej, 2016. "Productivity Change Analysis of Polish Dairy Farms After Poland’s Accession to the EU – An Output Growth Decomposition Approach," MPRA Paper 80295, University Library of Munich, Germany.
    3. K Hervé Dakpo & Yann Desjeux & Philippe Jeanneaux & Laure Latruffe, 2017. "Productivity, technical efficiency and technological change in French agriculture during 2002-2014: A Färe-Primont index decomposition," Working Papers SMART - LERECO 17-07, INRA UMR SMART-LERECO.
    4. Biagia De Devitiis & Ornella Wanda Maietta, 2015. "Shadow Prices of Human Capital in Agriculture. Evidence from European FADN Regions," CSEF Working Papers 415, Centre for Studies in Economics and Finance (CSEF), University of Naples, Italy.
    5. Teodor HADA & Nicoleta BARBUTA-MISU & Teodora Maria AVRAM, 2016. "Financial CEMATT Method: a New Approach for Performance Assessment using Accounting Information," Economics and Applied Informatics, "Dunarea de Jos" University of Galati, Faculty of Economics and Business Administration, issue 2, pages 10-17.
    6. Arjomandi, Amir & Valadkhani, Abbas & Harvie, Charles, 2011. "Analysing Productivity Changes Using the Bootstrapped Malmquist Approach: The Case of the Iranian Banking Industry," MPRA Paper 50397, University Library of Munich, Germany.
    7. Rodrigo Taborda & Julieth Santamaría, 2011. "Productivity growth in electric energy retail in Colombia. A bootstrapped malmquist indices approach," Documentos de Trabajo 009152, Universidad del Rosario.
    8. Dakpo, K Hervé & Desjeux, Yann & Jeanneaux, Philippe & Latruffe, Laure, 2016. "Productivity, efficiency and technological change in French agriculture during 2002-2014: A Färe-Primont index decomposition," 149th Seminar, October 27-28, 2016, Rennes, France 244793, European Association of Agricultural Economists.
    9. Jerzy Marzec & Andrzej Pisulewski, 2017. "The Effect of CAP Subsidies on the Technical Efficiency of Polish Dairy Farms," Central European Journal of Economic Modelling and Econometrics, CEJEME, vol. 9(3), pages 243-273, September.
    10. Fertö, Imre, 2014. "The Structural Transformation in Central and Eastern European Agriculture," CEI Working Paper Series 2014-9, Center for Economic Institutions, Institute of Economic Research, Hitotsubashi University.
    11. Nicoleta Bărbuță-Mișu & Mara Madaleno & Vasile Ilie, 2019. "Analysis of Risk Factors Affecting Firms’ Financial Performance—Support for Managerial Decision-Making," Sustainability, MDPI, Open Access Journal, vol. 11(18), pages 1-19, September.
    12. Laure Latruffe & József Fogarasi & Yann Desjeux, 2012. "Efficiency, productivity and technology comparison for farms in central and western europe : the case of field crop and dairy farming in hungary and france," Post-Print hal-01208812, HAL.
    13. Tomislav Herceg & Iva Vuksanovic, 2017. "Technological progress in Croatian perennial agriculture," International Journal of Economic Sciences, International Institute of Social and Economic Sciences, vol. 6(1), pages 18-32, May.
    14. Jerzy Marzec & Andrzej Pisulewski & Artur Prędki, 2019. "Efektywność techniczna i produktywność polskich gospodarstw rolnych specjalizujących się w uprawach polowych," Gospodarka Narodowa, Warsaw School of Economics, issue 2, pages 95-125.
    15. Záhorský, T. & Pokrivčák, J., 2017. "Assessment of the Agricultural Performance in Central and Eastern European Countries," AGRIS on-line Papers in Economics and Informatics, Czech University of Life Sciences Prague, Faculty of Economics and Management, vol. 9(1), March.
    16. Habtamu ALEM, 2017. "Source Of Total Factor Productivity Change: An Empirical Analysis Of Grain Producing Regions In Norway," Revista Economica, Lucian Blaga University of Sibiu, Faculty of Economic Sciences, vol. 69(6), pages 8-18, December.

  32. Kelvin Balcombe & Iain Fraser & Laure Latruffe & Mizanur Rahman & Laurence Smith, 2008. "An application of the DEA double bootstrap to examine sources of efficiency in Bangladesh rice farming," Applied Economics, Taylor & Francis Journals, vol. 40(15), pages 1919-1925.

    Cited by:

    1. Ahmed, Nesar & Zander, Kerstin K. & Garnett, Stephen T., 2011. "Socioeconomic aspects of rice-fish farming in Bangladesh: opportunities, challenges and production efficiency," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 55(2), pages 1-21.
    2. Douarin, Elodie & Latruffe, Laure, 2010. "Potential impact of the EU Single Area Payment on farm restructuring and efficiency in Lithuania," Working Papers 210384, Institut National de la recherche Agronomique (INRA), Departement Sciences Sociales, Agriculture et Alimentation, Espace et Environnement (SAE2).
    3. Muhammad Arif Watto & Amin W. Mugera, 2014. "Measuring Production and Irrigation Efficiencies of Rice Farms: Evidence from the Punjab Province, Pakistan," Asian Economic Journal, East Asian Economic Association, vol. 28(3), pages 301-322, September.
    4. Maria Giovanna Brandano & Claudio Detotto & Marco Vannini, 2018. "Comparative Efficiency Of Agricultural Cooperatives And Conventional Firms In A Sample Of Quasi-Twin Companies," Post-Print hal-01974512, HAL.
    5. Barros, Carlos Pestana & Botti, Laurent & Peypoch, Nicolas & Robinot, Elisabeth & Solonandrasana, Bernardin & A., George Assaf, 2011. "Performance of French destinations: Tourism attraction perspectives," Tourism Management, Elsevier, vol. 32(1), pages 141-146.
    6. Claudio Detotto & Manuela Pulina & Juan Gabriel Brida, 2014. "Assessing the productivity of the Italian hospitality sector: a post-WDEA pooled-truncated and spatial analysis," Post-Print hal-01972857, HAL.
    7. Nicholas Apergis & Michael L. Polemis, 2016. "Competition and efficiency in the MENA banking region: a non-structural DEA approach," Applied Economics, Taylor & Francis Journals, vol. 48(54), pages 5276-5291, November.
    8. Latruffe, Laure & Bravo-Ureta, Boris E. & Moreira, Victor H. & Desjeux, Yann & Dupraz, Pierre, 2011. "Productivity and Subsidies in European Union Countries: An Analysis for Dairy Farms Using Input Distance Frontiers," 2011 International Congress, August 30-September 2, 2011, Zurich, Switzerland 114396, European Association of Agricultural Economists.
    9. Watto, Muhammad Arif & Mugera, Amin William, 2013. "Measuring Groundwater Irrigation Efficiency in Pakistan: A DEA Approach Using the Sub-vector and Slack-based Models," Working Papers 144943, University of Western Australia, School of Agricultural and Resource Economics.
    10. Matousek, Roman & Nguyen, Thao Ngoc & Stewart, Chris, 2014. "Efficiency in the Vietnamese banking system: A DEA double bootstrap approach," Economics Discussion Papers 2014-1, School of Economics, Kingston University London.
    11. MG. Brandano & C. Detotto & M. Vannini, 2012. "Comparative efficiency of producer cooperatives and conventional firms in a sample of quasi-twin companies," Working Paper CRENoS 201228, Centre for North South Economic Research, University of Cagliari and Sassari, Sardinia.
    12. Mita Bagchi & Sanzidur Rahman & Yao Shunbo, 2019. "Growth in Agricultural Productivity and Its Components in Bangladeshi Regions (1987–2009): An Application of Bootstrapped Data Envelopment Analysis (DEA)," Economies, MDPI, Open Access Journal, vol. 7(2), pages 1-16, May.
    13. Latruffe, Laure & Bravo-Ureta, Boris E. & Moreira, Victor H. & Desjeux, Yann & Dupraz, Pierre, 2012. "Productivity and Subsidies in the European Union: An Analysis for Dairy Farms Using Input Distance Frontiers," 2012 Conference, August 18-24, 2012, Foz do Iguacu, Brazil 126846, International Association of Agricultural Economists.
    14. Embaye, Weldensie T. & Bergtold, Jason S. & Schwab, Benjamin & Zereyesus, Yacob A., 2018. "Modeling Farm Household’s Productivity under Inseparable Production and Consumption decisions," 2018 Annual Meeting, August 5-7, Washington, D.C. 274226, Agricultural and Applied Economics Association.
    15. Li, Ke & Lin, Boqiang, 2017. "An application of a double bootstrap to investigate the effects of technological progress on total-factor energy consumption performance in China," Energy, Elsevier, vol. 128(C), pages 575-585.
    16. Douarin, Elodie & Latruffe, Laure, 2009. "Will the EU Single Area Payment decrease farm efficiency in the New Member States?," 2009 Conference, August 16-22, 2009, Beijing, China 51625, International Association of Agricultural Economists.
    17. Xiangxiang Sun & Lawrence Loh, 2019. "Sustainability Governance in China: An Analysis of Regional Ecological Efficiency," Sustainability, MDPI, Open Access Journal, vol. 11(7), pages 1-16, April.

  33. Kelvin Balcombe & Sophia Davidova & Laure Latruffe, 2008. "The use of bootstrapped Malmquist indices to reassess productivity change findings: an application to a sample of Polish farms," Applied Economics, Taylor & Francis Journals, vol. 40(16), pages 2055-2061.
    See citations under working paper version above.
  34. K. Balcombe & A. Bailey & A. Chalak & I. Fraser, 2008. "Modifying willingness to pay estimates where respondents mis-report their preferences," Applied Economics Letters, Taylor & Francis Journals, vol. 15(5), pages 327-330.

    Cited by:

    1. Arne Hole & Julie Kolstad, 2012. "Mixed logit estimation of willingness to pay distributions: a comparison of models in preference and WTP space using data from a health-related choice experiment," Empirical Economics, Springer, vol. 42(2), pages 445-469, April.

  35. Kelvin Balcombe & Iain Fraser & Mizanur Rahman & Laurence Smith, 2007. "Examining the technical efficiency of rice producers in Bangladesh," Journal of International Development, John Wiley & Sons, Ltd., vol. 19(1), pages 1-16.

    Cited by:

    1. Banerjee, Onil & M Mahzab , Moogdho & Asaduzzaman, M, 2015. "Towards 2021: Examining Alternative Growth Scenarios for Bangladesh," Bangladesh Development Studies, Bangladesh Institute of Development Studies (BIDS), vol. 38(01), pages 77-100, March.
    2. Alvarez, Antonio & del Corral, Julio & Tauer, Loren W., 2012. "Modeling Unobserved Heterogeneity in New York Dairy Farms: One-Stage versus Two-Stage Models," Agricultural and Resource Economics Review, Cambridge University Press, vol. 41(3), pages 275-285, December.
    3. del Corral, Julio & Alvarez, Antonio & Tauer, Loren W., 2009. "Detecting Technological Heterogeneity in New York Dairy Farms," 2009 Annual Meeting, July 26-28, 2009, Milwaukee, Wisconsin 49293, Agricultural and Applied Economics Association.
    4. Musa Hasen Ahmed & Kumilachew Alamerie Melesse, 2018. "Impact of off-farm activities on technical efficiency: evidence from maize producers of eastern Ethiopia," Agricultural and Food Economics, Springer;Italian Society of Agricultural Economics (SIDEA), vol. 6(1), pages 1-15, December.
    5. Blend Frangu & Jennie Sheerin Popp & Michael Thomsen & Arben Musliu, 2018. "Evaluating Greenhouse Tomato and Pepper Input Efficiency Use in Kosovo," Sustainability, MDPI, Open Access Journal, vol. 10(8), pages 1-14, August.
    6. D’Antoni, Jeremy M. & Mishra, Ashok K. & Blayney, Donald, 2013. "Assessing participation in the Milk Income Loss Contract program and its impact on milk production," Journal of Policy Modeling, Elsevier, vol. 35(2), pages 243-254.
    7. Minten, Bart & Murshid, K.A.S. & Reardon, Thomas, 2011. "The quiet revolution in agrifood value chains in Asia: The case of increasing quality in rice markets in Bangladesh," IFPRI discussion papers 1141, International Food Policy Research Institute (IFPRI).
    8. Thibbotuwawa, Manoj & Mugera, Amin W. & White, Benedict, 2012. "A Non-Parametric Analysis of Rice Production Efficiency in Sri Lanka," 2012 Conference (56th), February 7-10, 2012, Fremantle, Australia 124423, Australian Agricultural and Resource Economics Society.
    9. Minten, Bart & Murshid, K.A.S. & Reardon, Thomas, 2013. "Food Quality Changes and Implications: Evidence from the Rice Value Chain of Bangladesh," World Development, Elsevier, vol. 42(C), pages 100-113.
    10. Thibbotuwawa, Manoj & Mugera, Amin & White, Ben, 2013. "Production Efficiency and Technology Gap in Irrigated and Rain-fed Rice Farming Systems in Sri Lanka: Non Parametric Approach," 2013 Conference (57th), February 5-8, 2013, Sydney, Australia 152181, Australian Agricultural and Resource Economics Society.
    11. Barmon, Basanta Kumar & Tarafder, Sushanta Kumar, 2014. "Impacts of Granular Urea and Efficiency of Resource Use in MV Paddy Production: A Case Study of Jessore District," Bangladesh Development Studies, Bangladesh Institute of Development Studies (BIDS), vol. 37(3), pages 79-108, September.
    12. Anik, Asif Reza & Breustedt, Gunnar & Bauer, Siegfried, 2011. "The Impact of Corruption on Farmers' Efficiency in Rice Production: A Natural Experiment from Bangladesh," 2011 International Congress, August 30-September 2, 2011, Zurich, Switzerland 114224, European Association of Agricultural Economists.

  36. K. Balcombe & A. Bailey & A. Chalak & I. Fraser, 2007. "Bayesian Estimation of Willingness‐to‐pay Where Respondents Mis‐report Their Preferences," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 69(3), pages 413-438, June.

    Cited by:

    1. Ali Chalak & Kelvin Balcombe & Alastair Bailey & Iain Fraser, 2008. "Pesticides, Preference Heterogeneity and Environmental Taxes," Journal of Agricultural Economics, Wiley Blackwell, vol. 59(3), pages 537-554, September.
    2. Rigby, Dan & Burton, Michael & Balcombe, Kelvin & Bateman, Ian & Mulatu, Abay, 2015. "Contract cheating & the market in essays," Journal of Economic Behavior & Organization, Elsevier, vol. 111(C), pages 23-37.
    3. Damian Tago & Henrik Andersson & Nicolas Treich, 2014. "Pesticides and Health: A Review of Evidence on Health Effects, Valuation of Risks, and Benefit-Cost Analysis," Advances in Health Economics and Health Services Research, in: Glenn C. Blomquist & Kristian Bolin (ed.), Preference Measurement in Health, volume 24, pages 203-295, Emerald Publishing Ltd.
    4. Kelvin Balcombe & Iain Fraser, 2009. "Dichotomous-choice contingent valuation with 'dont know' responses and misreporting," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 24(7), pages 1137-1152.

  37. Kelvin Balcombe & Hristos Doucouliagos & Iain Fraser, 2007. "Input usage, output mix and industry deregulation: an analysis of the Australian dairy manufacturing industry ," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 51(2), pages 137-156, June.

    Cited by:

    1. Anderson, Kym & Lloyd, Peter J & Maclaren, Donald, 2007. "Distortions to Agricultural Incentives in Australia Since World War II," CEPR Discussion Papers 6436, C.E.P.R. Discussion Papers.
    2. Jill Johnes, 2014. "Efficiency and Mergers in English Higher Education 1996/97 to 2008/9: Parametric and Non-parametric Estimation of the Multi-input Multi-output Distance Function," Manchester School, University of Manchester, vol. 82(4), pages 465-487, July.
    3. Sauer, J., 2009. "Quota Deregulation and Organic versus Conventional Milk – A Bayesian Distance Function Approach," Proceedings “Schriften der Gesellschaft für Wirtschafts- und Sozialwissenschaften des Landbaues e.V.”, German Association of Agricultural Economists (GEWISOLA), vol. 44, March.
    4. Rebecca Summary & William Weber, 2012. "Grade inflation or productivity growth? An analysis of changing grade distributions at a regional university," Journal of Productivity Analysis, Springer, vol. 38(1), pages 95-107, August.
    5. Johannes Sauer, 2010. "Deregulation and dairy production systems: a Bayesian distance function approach," Journal of Productivity Analysis, Springer, vol. 34(3), pages 213-237, December.
    6. van Kooten, Gerrit Cornelis, 2017. "The Welfare Economics of Dismantling Dairy Quota in a Confederation of States," Working Papers 256743, University of Victoria, Resource Economics and Policy.
    7. Sauer, Johannes, 2008. "Quota Deregulation and Organic versus Conventional Milk – A Bayesian Distance Function Approach," 82nd Annual Conference, March 31 - April 2, 2008, Royal Agricultural College, Cirencester, UK 36869, Agricultural Economics Society.

  38. Kelvin Balcombe & Alastair Bailey & Jonathan Brooks, 2007. "Threshold Effects in Price Transmission: The Case of Brazilian Wheat, Maize, and Soya Prices," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 89(2), pages 308-323.

    Cited by:

    1. Vollmer, Teresa & von Cramon-Taubadel, Stephan, 2019. "The influence of Brazilian exports on price transmission processes in the coffee sector: A Markov-switching approach," DARE Discussion Papers 1904, Georg-August University of Göttingen, Department of Agricultural Economics and Rural Development (DARE).
    2. Xu, Xiaojie, 2014. "Causality and Price Discovery in U.S. Corn Markets: An Application of Error Correction Modeling and Directed Acyclic Graphs," 2014 Annual Meeting, July 27-29, 2014, Minneapolis, Minnesota 169806, Agricultural and Applied Economics Association.
    3. Sergio H. Lence & GianCarlo Moschini & Fabio Gaetano Santeramo, 2018. "Threshold cointegration and spatial price transmission when expectations matter," Agricultural Economics, International Association of Agricultural Economists, vol. 49(1), pages 25-39, January.
    4. Stephan Brosig & Thomas Glauben & Linde Götz & Enno‐Burghard Weitzel & Ahmet Bayaner, 2011. "The Turkish wheat market: spatial price transmission and the impact of transaction costs," Agribusiness, John Wiley & Sons, Ltd., vol. 27(2), pages 147-161, Spring.
    5. Götz, Linde & Glauben, Thomas & Brümmer, Bernhard, 2013. "Wheat export restrictions and domestic market effects in Russia and Ukraine during the food crisis," Food Policy, Elsevier, vol. 38(C), pages 214-226.
    6. Giulia LISTORTI, 2008. "Price Transmission Mechanisms: a Policy Investigation of International Wheat Markets," Working Papers 318, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.
    7. Serra, Teresa & Zilberman, David, 2009. "Price volatility in ethanol markets," 2009 Conference, August 16-22, 2009, Beijing, China 49940, International Association of Agricultural Economists.
    8. Larson, Donald F. & Sarris, Alexander, 2009. "The performance of Bulgarian food markets during reform," Policy Research Working Paper Series 4876, The World Bank.
    9. Chia-Hsing Huang & Liang-Chun Ho, 2011. "Do bio-fuel policies lead to speculative behavior?," Journal of Financial Economic Policy, Emerald Group Publishing, vol. 3(2), pages 161-174, May.
    10. A Ghoshray, 2009. "Nonlinear Price Transmission in Wheat Export Prices," Department of Economics Working Papers 11/09, University of Bath, Department of Economics.
    11. Joe Dewbre & Céline Giner & Wyatt Thompson & Martin Von Lampe, 2008. "High food commodity prices: will they stay? who will pay?," Agricultural Economics, International Association of Agricultural Economists, vol. 39(s1), pages 393-403, November.
    12. Ghoshray, Atanu, 2010. "Smooth transition effects in price transmission: The case of international wheat export prices," Economics Letters, Elsevier, vol. 106(3), pages 169-171, March.
    13. Bairagi, S. & Mohanty, S., 2018. "Analysis of Price Transmission along the Cambodian Rice Value Chain," 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia 277022, International Association of Agricultural Economists.
    14. Santeramo, Fabio Gaetano & Cioffi, Antonio, 2012. "Transmission Of Market Crises In The European Vegetables Sector," Politica Agricola Internazionale - International Agricultural Policy, Edizioni L'Informatore Agrario, issue 2, pages 1-10, March.
    15. Fabio L. Mattos & Rodrigo Lanna Franco da Silveira, 2018. "The Expansion of the Brazilian Winter Corn Crop and Its Impact on Price Transmission," International Journal of Financial Studies, MDPI, Open Access Journal, vol. 6(2), pages 1-17, April.
    16. Ganneval, S., 2016. "Spatial price transmission on agricultural commodity markets under different volatility regimes," Economic Modelling, Elsevier, vol. 52(PA), pages 173-185.
    17. Tsiboe, Francis & Dixon, Bruce L. & Wailes, Eric J., 2016. "Spatial dynamics and determinants of Liberian rice market integration," African Journal of Agricultural and Resource Economics, African Association of Agricultural Economists, vol. 11(3).
    18. Buczkowski, Rafal & García-Azcarate, Tomás, 2015. "Are current EU cereal prices correlated?," Economia Agraria y Recursos Naturales, Spanish Association of Agricultural Economists, vol. 15(02).
    19. Elmarzougui, Eskandar & Larue, Bruno, 2011. "On the Evolving Relationship between Corn and Oil Prices," Working Papers 118580, University of Laval, Center for Research on the Economics of the Environment, Agri-food, Transports and Energy (CREATE).
    20. Barry K. Goodwin & Matthew T. Holt & Gülcan Önel & Jeffrey P. Prestemon, 2018. "Copula-based nonlinear modeling of the law of one price for lumber products," Empirical Economics, Springer, vol. 54(3), pages 1237-1265, May.
    21. Gotz, Linde & Qiu, Feng & Glauben, Thomas, 2012. "The Law of One Price under State-Dependent Policy Intervention: An Application to the Ukrainian Wheat Market," 2012 Annual Meeting, August 12-14, 2012, Seattle, Washington 124904, Agricultural and Applied Economics Association.
    22. Friederike Greb & Stephan von Cramon-Taubadel & Tatyana Krivobokova & Axel Munk, 2011. "The estimation of threshold models in price transmission analysis," Courant Research Centre: Poverty, Equity and Growth - Discussion Papers 103, Courant Research Centre PEG, revised 08 Oct 2012.
    23. José César Cruz Junior & Daniel H D Capitani & Rodrigo L F Silveira, 2018. "The effect of Brazilian corn and soybean crop expansion on price and volatility transmission," Economics Bulletin, AccessEcon, vol. 38(4), pages 2273-2283.
    24. Acosta, Alejandro, 2012. "Measuring spatial transmission of white maize prices between South Africa and Mozambique: An asymmetric error correction model approach," African Journal of Agricultural and Resource Economics, African Association of Agricultural Economists, vol. 7(1), pages 1-13, October.
    25. Mai, Thang Chien & Shakur, Shamim & Cassells, Sue, 2016. "Price Asymmetry of Coffee Beans: Evidence from Vietnam," 2016 Conference, August 25-26, Nelson, New Zealand 260807, New Zealand Agricultural and Resource Economics Society.
    26. Ahmed, Mansur & Goodwin, Barry, 2015. "Copula-Based Modeling of Dependence Structure among International Food Grain Markets," 2015 AAEA & WAEA Joint Annual Meeting, July 26-28, San Francisco, California 206059, Agricultural and Applied Economics Association.
    27. Abunyuwah, Isaac, 2013. "Implications of conceptual and data complexities on time-series econometric applications in market integration analysis," Studies in Agricultural Economics, Research Institute for Agricultural Economics, vol. 115(1), pages 1-7, February.
    28. Arnade, Carlos & Hoffman, Linwood, 2016. "Maize Price Relationships in a Changing International Market: Have Brazil and/or Ukraine Crossed a Threshold?," 2017 Allied Social Sciences Association (ASSA) Annual Meeting, January 6-8, 2017, Chicago, Illinois 250116, Agricultural and Applied Economics Association.
    29. Maurizio Aragrande & Mauro Bruni & Alberico Loi & Roberto Esposti, 2017. "The effect of EU 2006 sugar regime reform on vertical price transmission," Agricultural and Food Economics, Springer;Italian Society of Agricultural Economics (SIDEA), vol. 5(1), pages 1-20, December.
    30. Chris Motengwe & Angel Pardo, 2016. "Major International Information Flows Across the Safex Wheat Market," South African Journal of Economics, Economic Society of South Africa, vol. 84(4), pages 636-653, December.
    31. Abbott, Philip & Wu, Ce & Tarp, Finn, 2011. "Transmission of World Prices to the Domestic Market in Vietnam," MPRA Paper 84611, University Library of Munich, Germany.
    32. Fousekis, Panos & Katrakilidis, Constantinos & Trachanas, Emmanouil, 2016. "Vertical price transmission in the US beef sector: Evidence from the nonlinear ARDL model," Economic Modelling, Elsevier, vol. 52(PB), pages 499-506.
    33. Felippe Cauê Serigati & Paulo Furquim De Azevedo, 2016. "How To Indirectly Measure Market Transaction Costs," Anais do XLII Encontro Nacional de Economia [Proceedings of the 42nd Brazilian Economics Meeting] 192, ANPEC - Associação Nacional dos Centros de Pós-Graduação em Economia [Brazilian Association of Graduate Programs in Economics].
    34. Listorti, Giulia & Esposti, Roberto, 2012. "Horizontal Price Transmission in Agricultural Markets: Fundamental Concepts and Open Empirical Issues," Bio-based and Applied Economics Journal, Italian Association of Agricultural and Applied Economics (AIEAA), vol. 1(1), pages 1-28, April.
    35. Burke, William J. & Myers, Robert J., 2014. "Spatial equilibrium and price transmission between Southern African maize markets connected by informal trade," Food Policy, Elsevier, vol. 49(P1), pages 59-70.
    36. Greb, Friederike & Krivobokova, Tatyana & von Cramon-Taubadel, Stephan & Munk, Axel, 2011. "On threshold estimation in threshold vector error correction models," 2011 International Congress, August 30-September 2, 2011, Zurich, Switzerland 114599, European Association of Agricultural Economists.
    37. Hosseini, Seyed Safdar & Nikoukar, Afsaneh & Dourandish, Arash, 2012. "Price Transmission Analysis in Iran Chicken Market," International Journal of Agricultural Management and Development (IJAMAD), Iranian Association of Agricultural Economics, vol. 2(4).
    38. Abidoye, Babatunde O. & Marlene, Labuschagne, 2012. "The Transmission of World Maize Price to South African Maize Market: A Threshold Cointegration Approach," Working Papers 206515, University of Pretoria, Department of Agricultural Economics, Extension and Rural Development.
    39. Liefert, William M. & Persuad, Suresh, 2009. "The Transmission of Exchange Rate Changes to Agricultural Prices," Economic Research Report 55942, United States Department of Agriculture, Economic Research Service.
    40. Valdes, R. & Von Cramon, S. & Engler, A., 2018. "The role of fuel prices on the wholesale price relationships between horticultural markets," 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia 277064, International Association of Agricultural Economists.
    41. Xiaojie Xu, 2017. "Contemporaneous causal orderings of US corn cash prices through directed acyclic graphs," Empirical Economics, Springer, vol. 52(2), pages 731-758, March.
    42. Ihle, Rico & von Cramon-Taubadel, Stephan, 2008. "Nonlinear Vector Error Correction Models in Price Transmission Analysis: Threshold Models vs. Markov-Switching Models," 2008 International Congress, August 26-29, 2008, Ghent, Belgium 44198, European Association of Agricultural Economists.
    43. Mohcine Bakhat & Klaas WŸrzburg, 2013. "Co-integration of Oil and Commodity Prices: A Comprehensive ApproachAbstract," Working Papers fa05-2013, Economics for Energy.
    44. Ihle, Rico & von Cramon-Taubadel, Stephan, 2008. "A Comparison of Threshold Cointegration and Markov-Switching Vector Error Correction Models in Price Transmission Analysis," 2008 Conference, April 21-22, 2008, St. Louis, Missouri 37603, NCCC-134 Conference on Applied Commodity Price Analysis, Forecasting, and Market Risk Management.
    45. Babatunde O. Abidoye & Marlene Labuschagne, 2014. "The transmission of world maize price to South African maize market: a threshold cointegration approach," Agricultural Economics, International Association of Agricultural Economists, vol. 45(4), pages 501-512, July.
    46. Eskandar Elmarzougui & Bruno Larue, 2011. "On the Evolving Relationship between Corn and Oil Prices," Cahiers de recherche CREATE 2011-3, CREATE.
    47. Cruz, Jose Cesar Jr. & Silveira, Rodrigo L. F. & Capitani, Daniel H. D. & Urso, Fabiana S. P. & Martines, Joao G. Filho, 2016. "The effect of Brazilian corn and soybean crop expansion on price and volatility transmission," 2016 Annual Meeting, July 31-August 2, Boston, Massachusetts 236127, Agricultural and Applied Economics Association.
    48. Pancera, Aline & Alves, Alexandre, 2015. "Spatial Analysis of Market Power of Cassava Starch in Brazil," 2015 Conference, August 9-14, 2015, Milan, Italy 210948, International Association of Agricultural Economists.
    49. Wang, Kuan-Min & Lee, Yuan-Ming & Thi, Thanh-Binh Nguyen, 2011. "Time and place where gold acts as an inflation hedge: An application of long-run and short-run threshold model," Economic Modelling, Elsevier, vol. 28(3), pages 806-819, May.
    50. Valdes, Rodrigo & Von Cramon-Taubadel, Stephan & Engler, Alejandra, 2015. "Transaction costs and trade liberalization: An empirical perspective from the MERCOSUR agreement," Food Policy, Elsevier, vol. 55(C), pages 109-116.
    51. Popovic, Rade & Radovanov, Boris & Dunn, James W., 2016. "Food scare crisis: the effect on Serbian dairy market," International Food and Agribusiness Management Review, International Food and Agribusiness Management Association, vol. 20(1), October.
    52. Goetz, Linde & von Cramon-Taubadel, Stephan, 2008. "Considering threshold effects in the long-run equilibrium in a vector error correction model: An application to the German apple market," 2008 International Congress, August 26-29, 2008, Ghent, Belgium 44247, European Association of Agricultural Economists.
    53. Hillen, J., 2018. "Protecting the Swiss milk market from foreign price shocks: Public border protection vs. quality differentiation," 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia 276015, International Association of Agricultural Economists.
    54. Medeiros, Marcelo C & Magri, Rafael, 2013. "Nonlinear Error Correction Models With an Application to Commodity Prices," Brazilian Review of Econometrics, Sociedade Brasileira de Econometria - SBE, vol. 33(2), November.

  39. K. Balcombe, 2006. "Bayesian estimation of cointegrating thresholds in the term structure of interest rates," Empirical Economics, Springer, vol. 31(2), pages 277-289, June.

    Cited by:

    1. Mark Holmes & Jesus Otero & Theodore Panagiotidis, 2015. "The Expectations Hypothesis and Decoupling of Short- and Long-Term US Interest Rates: A Pairwise Approach," Working Paper series 15-31, Rimini Centre for Economic Analysis.
    2. Lucchetti, Riccardo & Palomba, Giulio, 2008. "Nonlinear Adjustment in US Bond Yields: an Empirical Analysis with Conditional Heteroskedasticity," MPRA Paper 11571, University Library of Munich, Germany.
    3. Huber, Florian & Zörner, Thomas O., 2019. "Threshold cointegration in international exchange rates:A Bayesian approach," International Journal of Forecasting, Elsevier, vol. 35(2), pages 458-473.
    4. Greb, Friederike & Krivobokova, Tatyana & von Cramon-Taubadel, Stephan & Munk, Axel, 2011. "On threshold estimation in threshold vector error correction models," 2011 International Congress, August 30-September 2, 2011, Zurich, Switzerland 114599, European Association of Agricultural Economists.
    5. Huber, Florian & Zörner, Thomas, 2017. "Threshold cointegration and adaptive shrinkage," Department of Economics Working Paper Series 5577, WU Vienna University of Economics and Business.
    6. Lucchetti, Riccardo & Palomba, Giulio, 2009. "Nonlinear adjustment in US bond yields: An empirical model with conditional heteroskedasticity," Economic Modelling, Elsevier, vol. 26(3), pages 659-667, May.

  40. Alexander Gocht & Kelvin Balcombe, 2006. "Ranking efficiency units in DEA using bootstrapping an applied analysis for Slovenian farm data," Agricultural Economics, International Association of Agricultural Economists, vol. 35(2), pages 223-229, September.

    Cited by:

    1. Qingxian An & Fanyong Meng & Beibei Xiong, 2018. "Interval cross efficiency for fully ranking decision making units using DEA/AHP approach," Annals of Operations Research, Springer, vol. 271(2), pages 297-317, December.
    2. Abatania, Luke N. & Hailu, Atakelty & Mugera, Amin W., 2012. "Analysis of farm household technical efficiency in Northern Ghana using bootstrap DEA," 2012 Conference (56th), February 7-10, 2012, Fremantle, Australia 124211, Australian Agricultural and Resource Economics Society.
    3. Glynn T. Tonsor & Allen M. Featherstone, 2009. "Production Efficiency of Specialized Swine Producers," Review of Agricultural Economics, Agricultural and Applied Economics Association, vol. 31(3), pages 493-510.
    4. Laure Latruffe & József Fogarasi & Yann Desjeux, 2012. "Efficiency, productivity and technology comparison for farms in central and western europe : the case of field crop and dairy farming in hungary and france," Post-Print hal-01208812, HAL.
    5. Osti, Surendra & Bampasidou, Maria & Fannin, J. Matthew, 2018. "Revisiting Farm efficiency of Rice-Crawfish farmers: Accounting for the H-2A program," 2018 Annual Meeting, August 5-7, Washington, D.C. 274339, Agricultural and Applied Economics Association.
    6. Thibbotuwawa, Manoj & Mugera, Amin W. & White, Benedict, 2012. "A Non-Parametric Analysis of Rice Production Efficiency in Sri Lanka," 2012 Conference (56th), February 7-10, 2012, Fremantle, Australia 124423, Australian Agricultural and Resource Economics Society.
    7. Dario Pinello & Angelos Liontakis & Alexandra Sintori & Irene Tzouramani & Konstantinos Polymeros, 2016. "Assessing the Efficiency of Small-Scale and Bottom Trawler Vessels in Greece," Sustainability, MDPI, Open Access Journal, vol. 8(7), pages 1-11, July.
    8. Mamardashvili, Phatima & Bokusheva, Raushan & Schmid, Dierk, 2014. "Heterogeneous Farm Output and Technical Efficiency Estimates," German Journal of Agricultural Economics, Humboldt-Universitaet zu Berlin, Department for Agricultural Economics, vol. 63(01), pages 1-15, March.

  41. Kelvin Balcombe & Iain Fraser & Jae Kim, 2006. "Estimating technical efficiency of Australian dairy farms using alternative frontier methodologies," Applied Economics, Taylor & Francis Journals, vol. 38(19), pages 2221-2236.

    Cited by:

    1. Seongho Song & David Yi, 2011. "The fundraising efficiency in U.S. non-profit art organizations: an application of a Bayesian estimation approach using the stochastic frontier production model," Journal of Productivity Analysis, Springer, vol. 35(2), pages 171-180, April.
    2. Sauer, Johannes & Davidova, Sophia & Gorton, Matthew, 2012. "Land fragmentation, market integration and farm efficiency: empirical evidence from Kosovo," 86th Annual Conference, April 16-18, 2012, Warwick University, Coventry, UK 134968, Agricultural Economics Society.
    3. Kelvin Balcombe & Hristos Doucouliagos & Iain Fraser, 2007. "Input usage, output mix and industry deregulation: an analysis of the Australian dairy manufacturing industry ," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 51(2), pages 137-156, June.
    4. Murova, Olga I. & Chidmi, Benaissa, 2008. "Impacts of Federal Government Programs and Specific Farm Variables on Technical Effiicency of Dairy Farms," 2009 Annual Meeting, January 31-February 3, 2009, Atlanta, Georgia 46822, Southern Agricultural Economics Association.
    5. Vu Hoang Linh, 2012. "Efficiency of rice farming households in Vietnam," International Journal of Development Issues, Emerald Group Publishing, vol. 11(1), pages 60-73, April.
    6. Erol Taymaz & Ebru Voyvoda & Kamil Yilmaz, 2008. "Turkiye Imalat Sanayiinde Yapisal Dönüsüm ve Teknolojik Degisme Dinamikleri," ERC Working Papers 0804, ERC - Economic Research Center, Middle East Technical University, revised Jun 2008.
    7. Olga Murova & Benaissa Chidmi, 2013. "Technical efficiency of US dairy farms and federal government programs," Applied Economics, Taylor & Francis Journals, vol. 45(7), pages 839-847, March.
    8. Kelly, E & Shalloo, L & Geary, U & Kinsella, A. & Thorne, F & Wallace, M, 2013. "An analysis of the factors associated with technical and scale efficiency of Irish dairy farms," International Journal of Agricultural Management, Institute of Agricultural Management, vol. 2(3), pages 1-11, April.
    9. Vuciterna, Rina & Thomsen, Michael & Popp, Jennie & Musliu, Arben, 2017. "Efficiency and Competitiveness of Kosovo Raspberry Producers," 2017 Annual Meeting, February 4-7, 2017, Mobile, Alabama 252770, Southern Agricultural Economics Association.
    10. Sauer, J. & Davidova, S. & Gorton, M., 2013. "Land Fragmentation and Market Integration- Heterogenous Technologies in Kosovo," Proceedings “Schriften der Gesellschaft für Wirtschafts- und Sozialwissenschaften des Landbaues e.V.”, German Association of Agricultural Economists (GEWISOLA), vol. 48, March.
    11. Geys, Benny & Moesen, Wim, 2008. "Measuring local government technical (in)efficiency: An application and comparison of FDH, DEA and econometric approaches," Discussion Papers, Research Unit: Market Processes and Governance SP II 2008-21, WZB Berlin Social Science Center.
    12. Johannes Sauer & Catherine J. Morrison Paul, 2013. "The empirical identification of heterogeneous technologies and technical change," Applied Economics, Taylor & Francis Journals, vol. 45(11), pages 1461-1479, April.
    13. Chumpitaz, Ruben & Kerstens, Kristiaan & Paparoidamis, Nicholas & Staat, Matthias, 2010. "Comparing efficiency across markets: An extension and critique of the methodology," European Journal of Operational Research, Elsevier, vol. 205(3), pages 719-728, September.
    14. Johannes Sauer, 2011. "The Empirical Identification of Heterogenous Technologies and Technical Change," Post-Print hal-00768585, HAL.

  42. Richard Tiffin & Kelvin Balcombe, 2005. "Testing Symmetry and Homogeneity in the Almost Ideal Demand System with Co‐integrated Data using Fully Modified Estimation and the Bootstrap," Journal of Agricultural Economics, Wiley Blackwell, vol. 56(2), pages 253-270, July.

    Cited by:

    1. W D A Bryant, 2009. "General Equilibrium:Theory and Evidence," World Scientific Books, World Scientific Publishing Co. Pte. Ltd., number 6875, December.
    2. Paul Oslington, 2012. "General Equilibrium: Theory and Evidence," The Economic Record, The Economic Society of Australia, vol. 88(282), pages 446-448, September.

  43. Dirk Bezemer & Kelvin Balcombe & Junior Davis & Iain Fraser, 2005. "Livelihoods and farm efficiency in rural Georgia," Applied Economics, Taylor & Francis Journals, vol. 37(15), pages 1737-1745.

    Cited by:

    1. Maya Grigolia & Lasha Labadze & Pavol Minarik & Alena Zemplinerova & Marek Vokoun, 2015. "Transfer of Know-how for SMEs in Georgia, Moldova and Ukraine. White Paper: Georgia," CASE Network Reports 0123, CASE-Center for Social and Economic Research.
    2. Mutenje, Munyaradzi & Kankwamba, Henry & Mangisonib, Julius & Kassie, Menale, 2016. "Agricultural innovations and food security in Malawi: Gender dynamics, institutions and market implications," Technological Forecasting and Social Change, Elsevier, vol. 103(C), pages 240-248.
    3. Hoang, Trung X. & Pham, Cong S. & Ulubaşoğlu, Mehmet A., 2014. "Non-Farm Activity, Household Expenditure, and Poverty Reduction in Rural Vietnam: 2002–2008," World Development, Elsevier, vol. 64(C), pages 554-568.

  44. Kelvin Balcombe & Alastair Bailey & Iain Fraser, 2005. "Measuring the impact of R&D on Productivity from a Econometric Time Series Perspective," Journal of Productivity Analysis, Springer, vol. 24(1), pages 49-72, September.

    Cited by:

    1. Sajid Anwar & Sizhong Sun, 2014. "Entry of foreign firms and the R&D behaviour: a panel data study of domestic and foreign firms in China's manufacturing sector," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 23(8), pages 739-757, November.
    2. Donghyuk Choi & Joseph Kang & Chiyong Kim, 2014. "Effect of R&D on firms? growth: discrepancy between sales growth and employment expansion," Proceedings of Economics and Finance Conferences 0401582, International Institute of Social and Economic Sciences.
    3. Kelvin Balcombe, 2005. "Model Selection Using Information Criteria and Genetic Algorithms," Computational Economics, Springer;Society for Computational Economics, vol. 25(3), pages 207-228, June.

  45. Kelvin Balcombe, 2005. "Model Selection Using Information Criteria and Genetic Algorithms," Computational Economics, Springer;Society for Computational Economics, vol. 25(3), pages 207-228, June.

    Cited by:

    1. Massimiliano Kaucic, 2009. "Predicting EU Energy Industry Excess Returns on EU Market Index via a Constrained Genetic Algorithm," Computational Economics, Springer;Society for Computational Economics, vol. 34(2), pages 173-193, September.

  46. Laure Latruffe & Kelvin Balcombe & Sophia Davidova & Katarzyna Zawalinska, 2004. "Determinants of technical efficiency of crop and livestock farms in Poland," Applied Economics, Taylor & Francis Journals, vol. 36(12), pages 1255-1263.
    See citations under working paper version above.
  47. Bailey, Alastair & Irz, Xavier & Balcombe, Kelvin, 2004. "Measuring productivity growth when technological change is biased--a new index and an application to UK agriculture," Agricultural Economics, Blackwell, vol. 31(2-3), pages 285-295, December.

    Cited by:

    1. Antonelli, Cristiano & Scellato, Giuseppe, 2009. "The Localized Introduction Of Biased Technological Change And Productivity Growth. The Empirical Evidence In The Italian Manufacturing Industry," Department of Economics and Statistics Cognetti de Martiis LEI & BRICK - Laboratory of Economics of Innovation "Franco Momigliano", Bureau of Research in Innovation, Complexity and Knowledge, Collegio 200908, University of Turin.
    2. James Bessen, 2008. "Accounting for Productivity Growth When Technical Change is Biased," Working Papers 0802, Research on Innovation.
    3. Ito, Junichi, 2010. "Inter-regional difference of agricultural productivity in China: Distinction between biochemical and machinery technology," China Economic Review, Elsevier, vol. 21(3), pages 394-410, September.
    4. Cristiano Antonelli & Francesco Quatraro, 2014. "The effects of biased technological changes on total factor productivity: a rejoinder and new empirical evidence," The Journal of Technology Transfer, Springer, vol. 39(2), pages 281-299, April.
    5. Antonelli, Cristiano, 2016. "Technological congruence and the economic complexity of technological change," Structural Change and Economic Dynamics, Elsevier, vol. 38(C), pages 15-24.
    6. Antonelli, Cristiano & Scellato, Giuseppe, 2014. "Firms Size and Directed Technological Change," Department of Economics and Statistics Cognetti de Martiis. Working Papers 201417, University of Turin.
    7. T. Gries & R. Grundmann & I. Palnau & M. Redlin, 2017. "Innovations, growth and participation in advanced economies - a review of major concepts and findings," International Economics and Economic Policy, Springer, vol. 14(2), pages 293-351, April.
    8. Cristiano Antonelli & Francesco Quatraro, 2010. "The Effects of Biased Technological Change on Total Factor Productivity. Empirical Evidence from a Sample of OECD Countries," Post-Print halshs-00727618, HAL.
    9. Antonelli, Cristiano & Quatraro, Francesco, 2009. "Localized Technological Change and Efficiency Wages: the Evidence across European Regions," Department of Economics and Statistics Cognetti de Martiis LEI & BRICK - Laboratory of Economics of Innovation "Franco Momigliano", Bureau of Research in Innovation, Complexity and Knowledge, Collegio 200907, University of Turin.
    10. Marijn Verschelde & Michel Dumont & Bruno Merlevede & Glenn Rayp, 2014. "A constrained nonparametric regression analysis of factor-biased technical change and TFP growth at the firm level," Working Paper Research 266, National Bank of Belgium.

  48. Kelvin. G. Balcombe, 2004. "Retesting symmetry and homogeneity in a cointegrated demand system with bootstrapping: The case of meat demand in Greece," Empirical Economics, Springer, vol. 29(2), pages 451-462, May.

    Cited by:

    1. Balcombe, Kelvin & Bailey, Alastair, 2006. "Bayesian inference of a smooth transition dynamic almost ideal model of food demand in the US," MPRA Paper 17305, University Library of Munich, Germany.
    2. W D A Bryant, 2009. "General Equilibrium:Theory and Evidence," World Scientific Books, World Scientific Publishing Co. Pte. Ltd., number 6875, December.
    3. Paul Oslington, 2012. "General Equilibrium: Theory and Evidence," The Economic Record, The Economic Society of Australia, vol. 88(282), pages 446-448, September.
    4. Blazej Mazur, 2006. "Imposing Economic Restrictions in a VECM-form Demand System," Dynamic Econometric Models, Uniwersytet Mikolaja Kopernika, vol. 7, pages 269-280.

  49. Alastair Bailey & Kelvin Balcombe & Colin Thirtle & Lindie Jenkins, 2004. "ME Estimation of Input and Output Biases of Technical and Policy Change in UK Agriculture, 1953 to 2000," Journal of Agricultural Economics, Wiley Blackwell, vol. 55(2), pages 385-400, July.

    Cited by:

    1. Moro, Daniele & Sckokai, Paolo, 2013. "The impact of decoupled payments on farm choices: Conceptual and methodological challenges," Food Policy, Elsevier, vol. 41(C), pages 28-38.

  50. A. Bailey & K. Balcombe & J. Morrison & C. Thirtle, 2003. "A comparison of proxy variable and stochastic latent variable approaches to the measurement of bias in technological change in south african agriculture," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 12(4), pages 315-324.

    Cited by:

    1. Luis Lanteri, 2005. "Crecimiento y la paradoja de la productividad: Una estimación en la forma de state-space con componentes no observables para el sector agropecuario argentino, 1955-2003," Estudios Económicos, El Colegio de México, Centro de Estudios Económicos, vol. 20(1), pages 53-78.
    2. Thirtle, Colin G. & Piesse, Jenifer & Gouse, Marnus, 2005. "Agricultural technology, productivity and employment: Policies for poverty reduction," Agrekon, Agricultural Economics Association of South Africa (AEASA), vol. 44(1), pages 1-23, March.

  51. Morrison, J. A. & Balcombe, K. & Bailey, A. & Klonaris, S. & Rapsomanikis, G., 2003. "Expenditure on different categories of meat in Greece: the influence of changing tastes," Agricultural Economics, Blackwell, vol. 28(2), pages 139-150, March.

    Cited by:

    1. Anders, Sven M. & Moeser, Anke, 2008. "Using Retail Scanner Data to Assess the Demand for Value-based Ground Meat Products in Canada," 2008 International Congress, August 26-29, 2008, Ghent, Belgium 44154, European Association of Agricultural Economists.

  52. K. Balcombe & C. J. McDermott, 2003. "Testing for asymmetric price stickiness using NZ business opinion data: a bootstrap approach," Applied Economics Letters, Taylor & Francis Journals, vol. 10(15), pages 955-958.

    Cited by:

    1. Stephen Keef & Melvin Roush, 2007. "Daily weather effects on the returns of Australian stock indices," Applied Financial Economics, Taylor & Francis Journals, vol. 17(3), pages 173-184.

  53. Balcombe, Kelvin & Tiffin, Richard, 2002. "Fully modified estimation with cross-equation restrictions," Economics Letters, Elsevier, vol. 74(2), pages 257-263, January.

    Cited by:

    1. Tiffin, J. Richard & Balcombe, Kelvin George, 2003. "Testing Symmetry And Homogeneity In The Aids With Cointegrated Data Using Fully-Modified Estimation And The Bootstrap," 2003 Annual Meeting, August 16-22, 2003, Durban, South Africa 25845, International Association of Agricultural Economists.

  54. Kelvin Balcombe & Richard Tiffin, 2002. "Bootstrap testing of the expectations hypothesis with the term structure of interest rates," Applied Economics Letters, Taylor & Francis Journals, vol. 9(9), pages 563-566.

    Cited by:

    1. Shigeyuki Hamori & Naoko Hamori, 2009. "International term structure of interest rates in the Euro area," Applied Economics Letters, Taylor & Francis Journals, vol. 16(11), pages 1113-1116.
    2. Minoas Koukouritakis & Leo Michelis, 2008. "The term structure of interest rates in the 12 newest EU countries," Applied Economics, Taylor & Francis Journals, vol. 40(4), pages 479-490.

  55. Kelvin Balcombe & Alastair Bailey & Jamie Morrison, 2002. "Stochastic Biases in Technical Change in U.S. Agriculture: A Bootstrap Approach," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 50(1), pages 67-84, March.

    Cited by:

    1. Bailey, Alastair & Irz, Xavier & Balcombe, Kelvin, 2004. "Measuring productivity growth when technological change is biased--a new index and an application to UK agriculture," Agricultural Economics, Blackwell, vol. 31(2-3), pages 285-295, December.

  56. A. B. Prakash & E. H. D'A. Oliver & K. Balcombe, 2001. "Does building new roads really create extra traffic? Some new evidence," Applied Economics, Taylor & Francis Journals, vol. 33(12), pages 1579-1585.

    Cited by:

    1. Santos, Georgina & Behrendt, Hannah & Teytelboym, Alexander, 2010. "Part II: Policy instruments for sustainable road transport," Research in Transportation Economics, Elsevier, vol. 28(1), pages 46-91.
    2. Phil Goodwin & Robert Noland, 2003. "Building new roads really does create extra traffic: a response to Prakash et al," Applied Economics, Taylor & Francis Journals, vol. 35(13), pages 1451-1457.
    3. Devine, Jon & Plastina, Alejandro S. & Theriault, Veronique, 2012. "Cotton Market Integration across Countries, among Qualities, and through Time," 2012 Annual Meeting, August 12-14, 2012, Seattle, Washington 124962, Agricultural and Applied Economics Association.
    4. Concas, Sisinnio, 2012. "Highway capital expenditures and induced vehicle travel," MPRA Paper 40757, University Library of Munich, Germany, revised 12 Aug 2012.
    5. Taslim, M A & Hossain, Md Amzad, 2015. "Asymmetric Transmission of International Price of Edible Oil in Bangladesh," Bangladesh Development Studies, Bangladesh Institute of Development Studies (BIDS), vol. 38(01), pages 33-54, March.
    6. González, Rosa Marina & Marrero, Gustavo A., 2012. "Induced road traffic in Spanish regions: A dynamic panel data model," Transportation Research Part A: Policy and Practice, Elsevier, vol. 46(3), pages 435-445.

  57. Balcombe, Kelvin George & Bailey, Alastair & Morrison, Jamie & Rapsomanikis, George & Thirtle, Colin G., 2000. "Stochastic biases in technical change in South African agriculture," Agrekon, Agricultural Economics Association of South Africa (AEASA), vol. 39(4), pages 1-9, December.

    Cited by:

    1. Conradie, Beatrice, 2005. "Wages and wage elasticities for wine and table grapes in South Africa," Agrekon, Agricultural Economics Association of South Africa (AEASA), vol. 44(1), pages 1-19, March.
    2. Pauw, Karl & Leibbrandt, Murray, 2012. "Minimum Wages and Household Poverty: General Equilibrium Macro–Micro Simulations for South Africa," World Development, Elsevier, vol. 40(4), pages 771-783.
    3. Christopher Klein & Shea Slonaker, 2010. "Chart Turnover and Sales in the Recorded Music Industry: 1990–2005," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 36(4), pages 351-372, June.
    4. Bailey, Alastair & Irz, Xavier T. & Balcombe, Kelvin George, 2003. "An Appliation Of The Stochastic Latent Variable Approach To The Correction Of Sector Level Tfp Calculations In The Face Of Biased Technological Change," 2003 Annual Meeting, August 16-22, 2003, Durban, South Africa 25842, International Association of Agricultural Economists.

  58. K Balcombe & A Prakash, 2000. "Estimating the long-run supply and demand for agricultural labour in the UK," European Review of Agricultural Economics, Foundation for the European Review of Agricultural Economics, vol. 27(2), pages 153-166, June.

    Cited by:

    1. Ciaian, Pavel & Kancs, d'Artis, 2011. "Interdependencies in the energy-bioenergy-food price systems: A cointegration analysis," Resource and Energy Economics, Elsevier, vol. 33(1), pages 326-348, January.
    2. Pavel Ciaian & d'Artis Kancs, 2011. "Food, Energy and Environment : is Bioenergy the missing link?," LICOS Discussion Papers 29211, LICOS - Centre for Institutions and Economic Performance, KU Leuven.

  59. K. Balcombe & S. Davidova & J. A. Morrison, 1999. "Consumer Behaviour in a Country in Transition with a Strongly Contracting Economy: The Case of Food Consumption in Bulgaria," Journal of Agricultural Economics, Wiley Blackwell, vol. 50(1), pages 36-47, January.

    Cited by:

    1. Goodwin, Barry K. & Phaneuf, Daniel J., 2001. "Microeconometric Modeling Of Household Food Demand: The Case Of Transition Bulgaria," 2001 Annual meeting, August 5-8, Chicago, IL 20713, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    2. Firici, M. Carmen & Thomson, Kenneth J., 2002. "Distributional Impacts of CAP Adoption on Romanian Households," 2002 International Congress, August 28-31, 2002, Zaragoza, Spain 24818, European Association of Agricultural Economists.

  60. K. G. Balcombe & L. E. D. Smith, 1999. "Refining the use of Monte Carlo techniques for risk analysis in project planning," Journal of Development Studies, Taylor & Francis Journals, vol. 36(2), pages 113-135.

    Cited by:

    1. Jamie Morrison & Kelvin Balcombe, 2002. "Policy analysis matrices: beyond simple sensitivity analysis," Journal of International Development, John Wiley & Sons, Ltd., vol. 14(4), pages 459-471.
    2. Glenn Jenkins & ANDREY KLEVCHUK, 2002. "Investment Appraisal of an Animal Feed Plant in South Africa," Development Discussion Papers 2002-10, JDI Executive Programs.
    3. Glenn Jenkins & Chun-Yan Kuo & Arnold C. Harberger, 2011. "Cost-Benefit Analysis for Investment Decisions: Chapter 6 (Dealing With Uncertainty and Risk in Investment Appraisal)," Development Discussion Papers 2011-06, JDI Executive Programs.

  61. Kelvin Balcombe, 1999. "More evidence concerning the relationship between high and variable inflation: a more general approach," Applied Economics Letters, Taylor & Francis Journals, vol. 6(1), pages 59-61.

    Cited by:

    1. Paul Beaumont & Stefan Norrbin & F. Pinar Yigit, 2007. "Time series evidence on the linkage between the volatility and growth of output," Applied Economics Letters, Taylor & Francis Journals, vol. 15(1), pages 45-48.
    2. James Payne, 2009. "Inflation targeting and the inflation-inflation uncertainty relationship: evidence from Thailand," Applied Economics Letters, Taylor & Francis Journals, vol. 16(3), pages 233-238.
    3. James Payne, 2009. "Official dollarization in El Salvador and the inflation-inflation uncertainty nexus," Applied Economics Letters, Taylor & Francis Journals, vol. 16(12), pages 1195-1199.

  62. Balcombe, Kelvin, 1999. " Seasonal Unit Root Tests with Structural Breaks in Deterministic Seasonality," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 61(4), pages 569-582, November.

    Cited by:

    1. Artur C. B. da Silva Lopes & Antonio Montañés, 2004. "The Behavior of HEGY Tests for Quarterly Time Series with Seasonal Mean Shifts," Econometrics 0411010, University Library of Munich, Germany.
    2. Harvey, David I. & Leybourne, Stephen J. & Newbold, Paul, 2002. "Seasonal unit root tests with seasonal mean shifts," Economics Letters, Elsevier, vol. 76(2), pages 295-302, July.
    3. Uwe Hassler & Paulo M. M. Rodrigues, 2004. "Seasonal Unit Root Tests Under Structural Breaks," Journal of Time Series Analysis, Wiley Blackwell, vol. 25(1), pages 33-53, January.
    4. Artur C. B. Da Silva Lopes, 2008. "Finite Sample Effects Of Pure Seasonal Mean Shifts On Dickey–Fuller Tests: A Simulation Study," Manchester School, University of Manchester, vol. 76(5), pages 528-538, September.
    5. Kunst, Robert M., 2014. "A Combined Nonparametric Test for Seasonal Unit Roots," Economics Series 303, Institute for Advanced Studies.
    6. B. da Silva Lopes, Artur C., 2005. "Finite sample effects of pure seasonal mean shifts on Dickey-Fuller tests," MPRA Paper 125, University Library of Munich, Germany, revised May 2006.

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    Cited by:

    1. Oscar Claveria & Enric Monte & Salvador Torra, 2019. "Empirical modelling of survey-based expectations for the design of economic indicators in five European regions," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 46(2), pages 205-227, May.
    2. Péter Gábriel, 2010. "Household inflation expectations and inflation dynamics," MNB Working Papers 2010/12, Magyar Nemzeti Bank (Central Bank of Hungary).
    3. Oscar Claveria & Enric Monte & Salvador Torra, 2017. "A new approach for the quantification of qualitative measures of economic expectations," Quality & Quantity: International Journal of Methodology, Springer, vol. 51(6), pages 2685-2706, November.
    4. Brian Silverstone, 2000. "Respondent Dynamics within the NZIER Survey of Business Opinion: An Introductory Perspective," Working Papers in Economics 00/03, University of Waikato.
    5. Nielsen, Hannah, 2003. "Inflation Expectations in the EU: Results from Survey Data," SFB 373 Discussion Papers 2003,13, Humboldt University of Berlin, Interdisciplinary Research Project 373: Quantification and Simulation of Economic Processes.
    6. J.M. Berk, 2000. "Consumers' Inflation Expectations and Monetary Policy in Europe," DNB Staff Reports (discontinued) 55, Netherlands Central Bank.
    7. Jan Marc Berk, 1999. "Measuring inflation expectations: a survey data approach," Applied Economics, Taylor & Francis Journals, vol. 31(11), pages 1467-1480.
    8. Lahiri, Kajal & Zhao, Yongchen, 2015. "Quantifying survey expectations: A critical review and generalization of the Carlson–Parkin method," International Journal of Forecasting, Elsevier, vol. 31(1), pages 51-62.
    9. K. Balcombe & C. J. McDermott, 2003. "Testing for asymmetric price stickiness using NZ business opinion data: a bootstrap approach," Applied Economics Letters, Taylor & Francis Journals, vol. 10(15), pages 955-958.
    10. Zhang, Chengsi & Dang, Chao, 2018. "Is Chinese monetary policy forward-looking?," BOFIT Discussion Papers 6/2018, Bank of Finland, Institute for Economies in Transition.
    11. Zhang, Chengsi & Dang, Chao, 2018. "Is monetary policy forward-looking in China?," International Review of Economics & Finance, Elsevier, vol. 57(C), pages 4-14.
    12. Oscar Claveria & Enric Monte & Salvador Torra, 2017. "Let the data do the talking: Empirical modelling of survey-based expectations by means of genetic programming," IREA Working Papers 201711, University of Barcelona, Research Institute of Applied Economics, revised May 2017.
    13. António Rua & Cláudia Duarte & Francisco Craveiro Dias, 2008. "Inflation expectations in the euro area: Are consumers rational?," Working Papers w200823, Banco de Portugal, Economics and Research Department.
    14. Friedrich Heinemann & Katrin Ullrich, 2006. "The Impact of EMU on Inflation Expectations," Open Economies Review, Springer, vol. 17(2), pages 175-195, April.
    15. Mitchell, James, 2002. "The use of non-normal distributions in quantifying qualitative survey data on expectations," Economics Letters, Elsevier, vol. 76(1), pages 101-107, June.
    16. O Claveria & E Pons & J Surinach, 2006. "Quantification of Expectations. Are They Useful for Forecasting Inflation?," Economic Issues Journal Articles, Economic Issues, vol. 11(2), pages 19-38, September.
    17. Akira Terai, 2010. "Estimating the distribution of inflation expectations," Economics Bulletin, AccessEcon, vol. 30(1), pages 315-329.
    18. Loffler, Gunter, 1999. "Refining the Carlson-Parkin method," Economics Letters, Elsevier, vol. 64(2), pages 167-171, August.
    19. Olivier Biau & Hélène Erkel-Rousse & Nicolas Ferrari, 2006. "Réponses individuelles aux enquêtes de conjoncture et prévision de la production manufacturière," Économie et Statistique, Programme National Persée, vol. 395(1), pages 91-116.
    20. Kajal Lahiri & Yongchen Zhao, 2013. "Quantifying Heterogeneous Survey Expectations: The Carlson-Parkin Method Revisited," Discussion Papers 13-08, University at Albany, SUNY, Department of Economics.
    21. Kjellberg, David, 2006. "Measuring Expectations," Working Paper Series 2006:9, Uppsala University, Department of Economics.
    22. Berk, Jan Marc, 2000. "Consumers' inflation expectations and monetary policy in Europe," Serie Research Memoranda 0020, VU University Amsterdam, Faculty of Economics, Business Administration and Econometrics.
    23. Lei, Chengyao & Lu, Zhe & Zhang, Chengsi, 2015. "News on inflation and the epidemiology of inflation expectations in China," Economic Systems, Elsevier, vol. 39(4), pages 644-653.
    24. Enrico D’Elia, 2005. "Using the results of qualitative surveys in quantitative analysis," ISAE Working Papers 56, ISTAT - Italian National Institute of Statistics - (Rome, ITALY).

  64. Balcombe, K. G. & Davis, J. R., 1996. "An application of cointegration theory in the estimation of the almost ideal demand system for food consumption in Bulgaria," Agricultural Economics, Blackwell, vol. 15(1), pages 47-60, September.

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    1. Li, Gang & Song, Haiyan & Witt, Stephen F., 2006. "Time varying parameter and fixed parameter linear AIDS: An application to tourism demand forecasting," International Journal of Forecasting, Elsevier, vol. 22(1), pages 57-71.
    2. Karel Janda & Jill J. McCluskey & Gordon C. Rausser, 2000. "Food Import Demand in the Czech Republic," Journal of Agricultural Economics, Wiley Blackwell, vol. 51(1), pages 22-44, January.
    3. Dirk Bezemer & Junior Davis, 2005. "The rural non-agricultural economy in transition countries: Enterprise level findings from Armenia," Development and Comp Systems 0510020, University Library of Munich, Germany.
    4. Karagiannis, G. & Katranidis, S. & Velentzas, K., 2000. "An error correction almost ideal demand system for meat in Greece," Agricultural Economics, Blackwell, vol. 22(1), pages 29-35, January.
    5. Muhammad, Andrew & Jones, Keithly G., 2009. "An Assessment of Dynamic Behavior in the U.S. Catfish Market: An Application of the Generalized Dynamic Rotterdam Model," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 41(3), pages 1-14, December.
    6. Karagiannis, G. & Mergos, G. J., 2002. "Estimating theoretically consistent demand systems using cointegration techniques with application to Greek food data," Economics Letters, Elsevier, vol. 74(2), pages 137-143, January.
    7. Ben Kaabia, Monia & Gil, Jose Maria, 2007. "The EU demand for imports of virgin olive oil," 103rd Seminar, April 23-25, 2007, Barcelona, Spain 9390, European Association of Agricultural Economists.
    8. Iootty, Mariana & Pinto Jr., Helder & Ebeling, Francisco, 2009. "Automotive fuel consumption in Brazil: Applying static and dynamic systems of demand equations," Energy Policy, Elsevier, vol. 37(12), pages 5326-5333, December.
    9. Minoas Koukouritakis, 2003. "EU Accession Effects on Imports of Manufactures: The case of Greece," University of Cyprus Working Papers in Economics 2-2003, University of Cyprus Department of Economics.
    10. Junior Davis, 2006. "Rural non-farm livelihoods in transition economies: emerging issues and policies," The Electronic Journal of Agricultural and Development Economics, Food and Agriculture Organization of the United Nations, vol. 3(2), pages 180-224.
    11. Minoas Koukouritakis, 2005. "EU Accession Effects on the Demand for Manufactures: the Case of Greece," Working Papers 0506, University of Crete, Department of Economics.
    12. Goodwin, Barry K. & Phaneuf, Daniel J., 2001. "Microeconometric Modeling Of Household Food Demand: The Case Of Transition Bulgaria," 2001 Annual meeting, August 5-8, Chicago, IL 20713, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    13. Duffy, Martyn, 2003. "On the estimation of an advertising-augmented, cointegrating demand system," Economic Modelling, Elsevier, vol. 20(1), pages 181-206, January.
    14. Sulgham, Anil K. & Zapata, Hector O., 2006. "A Dynamic Approach to Estimate Theoretically Consistent US Meat Demand System," 2006 Annual Meeting, February 5-8, 2006, Orlando, Florida 35441, Southern Agricultural Economics Association.
    15. Diotallevi, Francesco, 2010. "L’analisi della domanda degli oli extravergine d’oliva in Italia Un’applicazione del modello A.I.D.S
      [The analysis of the demand for extra virgin olive oil in Italy An application of the AIDSmodel]
      ," MPRA Paper 41469, University Library of Munich, Germany.
    16. Baek, Ji Won, 2016. "The effects of the Internet and mobile services on urban household expenditures: The case of South Korea," Telecommunications Policy, Elsevier, vol. 40(1), pages 22-38.
    17. Zhang, Aihua & Lv, Jia & Kong, Ying, 2017. "The Effects of the Internet and Mobile Services on Urban Household Expenditures," 14th ITS Asia-Pacific Regional Conference, Kyoto 2017: Mapping ICT into Transformation for the Next Information Society 168554, International Telecommunications Society (ITS).
    18. Chang, Kuo-Liang & Elliott, Lisa M. & Sand, Shannon & Dailey, Rocky & Blachford, Sierra, 2014. "A Study of the Impacts of Social Media Outlets on Generation-X and Millennial Consumers’ Beef Consumption, with an Emphasis on the Importance of Nutrition Information," 2014 Annual Meeting, July 27-29, 2014, Minneapolis, Minnesota 169648, Agricultural and Applied Economics Association.
    19. Elias Mantzouneas & George Mergos & Chrysostomos Stoforos, 2004. "Modelling food consumption patterns in Greece," Applied Economics Letters, Taylor & Francis Journals, vol. 11(8), pages 507-512.

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