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Ximing Wu

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Working papers

  1. Chen, Junyi & McCarl, Bruce A. & Price, Edwin & Wu, Ximing & Bessler, David A., 2016. "Climate as a Cause of Conflict: An Econometric Analysis," 2016 Annual Meeting, February 6-9, 2016, San Antonio, Texas 229783, Southern Agricultural Economics Association.

    Cited by:

    1. Khalifa, Sherin & Henning, Christian H. C. A., 2020. "Climate change and civil conflict in SSA and MENA: The same phenomena, but different mechanisms?," Working Papers of Agricultural Policy WP2020-03, University of Kiel, Department of Agricultural Economics, Chair of Agricultural Policy.

  2. Chen, Sihong & Wu, Ximing, 2016. "Comovements and Volatility Spillover in Commodity Markets," 2016 Annual Meeting, July 31-August 2, Boston, Massachusetts 235686, Agricultural and Applied Economics Association.

    Cited by:

    1. Uddin, Gazi Salah & Shahzad, Syed Jawad Hussain & Boako, Gideon & Hernandez, Jose Areola & Lucey, Brian M., 2019. "Heterogeneous interconnections between precious metals: Evidence from asymmetric and frequency-domain spillover analysis," Resources Policy, Elsevier, vol. 64(C).
    2. Caporin, Massimiliano & Naeem, Muhammad Abubakr & Arif, Muhammad & Hasan, Mudassar & Vo, Xuan Vinh & Hussain Shahzad, Syed Jawad, 2021. "Asymmetric and time-frequency spillovers among commodities using high-frequency data," Resources Policy, Elsevier, vol. 70(C).
    3. Bajo-Rubio, Oscar & Berke, Burcu & McMillan, David, 2017. "The behaviour of asset return and volatility spillovers in Turkey: A tale of two crises," Research in International Business and Finance, Elsevier, vol. 41(C), pages 577-589.

  3. Wu, Ximing & Sickles, Robin, 2014. "Semiparametric Estimation under Shape Constraints," Working Papers 15-021, Rice University, Department of Economics.

    Cited by:

    1. Pya Arnqvist, Natalya & Ngendangenzwa, Blaise & Lindahl, Eric & Nilsson, Leif & Yu, Jun, 2021. "Efficient surface finish defect detection using reduced rank spline smoothers and probabilistic classifiers," Econometrics and Statistics, Elsevier, vol. 18(C), pages 89-105.
    2. Gattone, Stefano Antonio & Fortuna, Francesca & Evangelista, Adelia & Di Battista, Tonio, 2022. "Simultaneous confidence bands for the functional mean of convex curves," Econometrics and Statistics, Elsevier, vol. 24(C), pages 183-193.
    3. Aubin-Frankowski, Pierre-Cyril & Szabo, Zoltan, 2022. "Handling hard affine SDP shape constraints in RKHSs," LSE Research Online Documents on Economics 115724, London School of Economics and Political Science, LSE Library.
    4. Levent Kutlu & Shasha Liu & Robin C. Sickles, 2022. "Cost, Revenue, and Profit Function Estimates," Springer Books, in: Subhash C. Ray & Robert G. Chambers & Subal C. Kumbhakar (ed.), Handbook of Production Economics, chapter 16, pages 641-679, Springer.
    5. Klein, Nadja & Herwartz, Helmut & Kneib, Thomas, 2020. "Modelling regional patterns of inefficiency: A Bayesian approach to geoadditive panel stochastic frontier analysis with an application to cereal production in England and Wales," Journal of Econometrics, Elsevier, vol. 214(2), pages 513-539.
    6. Preciado Arreola, José Luis & Johnson, Andrew L. & Chen, Xun C. & Morita, Hiroshi, 2020. "Estimating stochastic production frontiers: A one-stage multivariate semiparametric Bayesian concave regression method," European Journal of Operational Research, Elsevier, vol. 287(2), pages 699-711.
    7. Machado, Robson J.M. & van den Hout, Ardo & Marra, Giampiero, 2021. "Penalised maximum likelihood estimation in multi-state models for interval-censored data," Computational Statistics & Data Analysis, Elsevier, vol. 153(C).

  4. Cho, Sung Ju & McCarl, Bruce A. & Wu, Ximing, 2014. "Climate Change Adaptation and Shifts in Land Use for Major Crops in the U.S," 2014 Annual Meeting, July 27-29, 2014, Minneapolis, Minnesota 170015, Agricultural and Applied Economics Association.

    Cited by:

    1. Tiziana Pagnani & Elisabetta Gotor & Francesco Caracciolo, 2021. "Adaptive strategies enhance smallholders’ livelihood resilience in Bihar, India," Food Security: The Science, Sociology and Economics of Food Production and Access to Food, Springer;The International Society for Plant Pathology, vol. 13(2), pages 419-437, April.
    2. Call, Maia & Gray, Clark & Jagger, Pamela, 2019. "Smallholder responses to climate anomalies in rural Uganda," World Development, Elsevier, vol. 115(C), pages 132-144.
    3. Zhang, Yuquan W. & Mu, Jianhong E. & Musumba, Mark, 2016. "The Role of Climate Factors in Shaping China’s Crop Mix: An Empirical Exploration," 2016 Annual Meeting, July 31-August 2, Boston, Massachusetts 235387, Agricultural and Applied Economics Association.

  5. Wu, Ximing & Zhang, Yu Yvette, 2012. "Nonparametric Estimation of Crop Yield Distributions: A Panel Data Approach," 2012 Annual Meeting, August 12-14, 2012, Seattle, Washington 124630, Agricultural and Applied Economics Association.

    Cited by:

    1. Ker, Alan. P & Tolhurst, Tor & Liu, Yong, 2015. "Rating Area-yield Crop Insurance Contracts Using Bayesian Model Averaging and Mixture Models," 2015 AAEA & WAEA Joint Annual Meeting, July 26-28, San Francisco, California 205211, Agricultural and Applied Economics Association.

  6. Mu, Jianhong H. & McCarl, Bruce A. & Wu, Ximing & Gan, Li, 2011. "Climate Change Influences On The Risk Of Avian Influenza Outbreaks And Associated Economic Loss," 2011 Annual Meeting, July 24-26, 2011, Pittsburgh, Pennsylvania 103637, Agricultural and Applied Economics Association.

    Cited by:

    1. McCarl, Bruce A. & Attavanich, Witsanu & Musumba, Mark & Mu, Jianhong E. & Aisabokhae, Ruth, 2011. "Land Use and Climate Change," MPRA Paper 83993, University Library of Munich, Germany, revised 2014.

  7. Qin, Xiaoyan & Bessler, David A. & Leatham, David J. & Wu, Ximing & Gan, Li, 2010. "Fundamentals and US natural gas price dynamics," 2010 Annual Meeting, February 6-9, 2010, Orlando, Florida 56501, Southern Agricultural Economics Association.

    Cited by:

    1. Feng, Gen-Fu & Wang, Quan-Jing & Chu, Yin & Wen, Jun & Chang, Chun-Ping, 2021. "Does the shale gas boom change the natural gas price-production relationship? Evidence from the U.S. market," Energy Economics, Elsevier, vol. 93(C).
    2. Wiggins, Seth & Etienne, Xiaoli L., 2017. "Turbulent times: Uncovering the origins of US natural gas price fluctuations since deregulation," Energy Economics, Elsevier, vol. 64(C), pages 196-205.
    3. Fatih Çemrek & Hakkı Polat, 2014. "Modeling Natural Gas Prices Volatility," Alphanumeric Journal, Bahadir Fatih Yildirim, vol. 2(1), pages 1-12, June.

  8. McCarl, Bruce A. & Villavicencio, Xavier & Wu, Ximing, 2009. "The Effect of Climate Change over Agricultural Factor Productivity: Some Econometric Considerations," 2009 Annual Meeting, July 26-28, 2009, Milwaukee, Wisconsin 49452, Agricultural and Applied Economics Association.

    Cited by:

    1. Aswin Rivai, 2022. "The monetary policy impact on agricultural growth and food prices," International Journal of Research in Business and Social Science (2147-4478), Center for the Strategic Studies in Business and Finance, vol. 11(9), pages 158-165, December.
    2. Akbar, Muhammad & Jamil, Faisal, 2012. "Monetary and fiscal policies' effect on agricultural growth: GMM estimation and simulation analysis," Economic Modelling, Elsevier, vol. 29(5), pages 1909-1920.

  9. Alviola, Pedro A. IV & Capps, Oral Jr. & Wu, Ximing, 2009. "Micro-Demand Systems Analysis of Non-Alcoholic Beverages in the United States: An Application of Econometric Techniques Dealing With Censoring," 2010 Annual Meeting, July 25-27, 2010, Denver, Colorado 60462, Agricultural and Applied Economics Association.

    Cited by:

    1. Nicoletta Berardi & Patrick Sevestre & Marine Tépaut & Alexandre Vigneron, 2016. "The impact of a ‘soda tax’ on prices: evidence from French micro data," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) hal-01440299, HAL.
    2. Alamo, Carmen I. & Malaga, Jaime E., 2012. "Coffee Differentiation: Demand Analysis at Retail Level in the US Market," 2012 Annual Meeting, February 4-7, 2012, Birmingham, Alabama 119885, Southern Agricultural Economics Association.

  10. Thanasis Stengos & Brennan S. Thompson & Ximing Wu, 2009. "The Evolution of the Conditional Joint Distribution of Life Expectancy and Per Capita Income Growth," Working Papers 0901, University of Guelph, Department of Economics and Finance.

    Cited by:

    1. Cheng-Wen LEE & Min-Sun KIM, 2017. "The Factors Affecting Life Expectancy In South Korea," EcoForum, "Stefan cel Mare" University of Suceava, Romania, Faculty of Economics and Public Administration - Economy, Business Administration and Tourism Department., vol. 6(3), pages 1-1, august.
    2. Beylunioğlu Fuat C. & Yazgan M. Ege & Stengos Thanasis, 2018. "Regime switching with structural breaks in output convergence," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 22(3), pages 1-17, June.

  11. Ximing Wu & Andreas Savvides & Thanasis Stengos, 2008. "The Global Joint Distribution of Income and Health," Working Papers 0807, University of Guelph, Department of Economics and Finance.

    Cited by:

    1. Guido Erreygers & Philip Clarke & Qiong Zheng, 2017. "On the measurement of socioeconomic inequality of health between countries," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 15(2), pages 175-193, June.

  12. Cai, Yongxia & Shaw, W. Douglass & Wu, Ximing, 2008. "Risk Perception and Altruistic Averting Behavior: Removing Arsenic in Drinking Water," 2008 Annual Meeting, July 27-29, 2008, Orlando, Florida 6149, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).

    Cited by:

    1. Onjala, Joseph & Ndiritu, Simon Wagura & Stage, Jesper, 2013. "Risk Perception, Choice of Drinking Water, and Water Treatment: Evidence from Kenyan Towns," RFF Working Paper Series dp-13-10-efd, Resources for the Future.

  13. Thanasis Stengos & Ximing Wu, 2006. "Information-Theoretic Distribution Test with Application to Normality," Working Papers 0604, University of Guelph, Department of Economics and Finance.

    Cited by:

    1. Tack, Jesse, 2013. "A Nested Test for Common Yield Distributions with Applications to U.S. Corn," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 38(1), pages 1-14, April.
    2. Lee Tae-Hwy & Wang He & Xi Zhou & Zhang Ru, 2023. "Density Forecast of Financial Returns Using Decomposition and Maximum Entropy," Journal of Econometric Methods, De Gruyter, vol. 12(1), pages 57-83, January.
    3. Hend Auda, 2013. "Novel symmetry tests in regression models based on Gini mean difference," METRON, Springer;Sapienza Università di Roma, vol. 71(1), pages 21-32, June.
    4. Ekrem Kilic, 2005. "A Nonparametric Way of Distribution Testing," Econometrics 0510006, University Library of Munich, Germany.
    5. Meniago, Christelle & Mukuddem-Petersen, Janine & Petersen, Mark A. & Mongale, Itumeleng P., 2013. "What causes household debt to increase in South Africa?," Economic Modelling, Elsevier, vol. 33(C), pages 482-492.
    6. Marc S. Paolella, 2015. "New Graphical Methods and Test Statistics for Testing Composite Normality," Econometrics, MDPI, vol. 3(3), pages 1-29, July.
    7. Fournier, B. & Rupin, N. & Bigerelle, M. & Najjar, D. & Iost, A. & Wilcox, R., 2007. "Estimating the parameters of a generalized lambda distribution," Computational Statistics & Data Analysis, Elsevier, vol. 51(6), pages 2813-2835, March.

  14. Wu, Ximing & Perloff, Jeffrey M., 2005. "China's Income Distribution, 1985-2001," Institute for Research on Labor and Employment, Working Paper Series qt0zd6m0sf, Institute of Industrial Relations, UC Berkeley.

    Cited by:

    1. Guido Cozzi & Fabio Privileggi, 2009. "The fractal nature of inequality in a fast growing world: new version," Working Papers 2009_30, Business School - Economics, University of Glasgow.
    2. Qu, Zhaopeng (Frank) & Zhao, Zhong, 2008. "Urban-Rural Consumption Inequality in China from 1988 to 2002: Evidence from Quantile Regression Decomposition," IZA Discussion Papers 3659, Institute of Labor Economics (IZA).
    3. Jin, Yanhong & Fan, Maoyong & Cheng, Mingwang & Shi, Qinghua, 2014. "The economic gains of cadre status in rural China: Investigating effects and mechanisms," China Economic Review, Elsevier, vol. 31(C), pages 185-200.
    4. Wenkai Sun & Xianghong Wang & Xiaoxi Zhang, 2015. "Minimum wage effects on employment and working time of Chinese workers——evidence based on CHNS," IZA Journal of Labor & Development, Springer;Forschungsinstitut zur Zukunft der Arbeit GmbH (IZA), vol. 4(1), pages 1-22, December.
    5. Yi Chen & Frank A Cowell, 2013. "Mobility in China," STICERD - Public Economics Programme Discussion Papers 18, Suntory and Toyota International Centres for Economics and Related Disciplines, LSE.
    6. Gholamreza Hajargasht & William E. Griffiths & Joseph Brice & D.S. Prasada Rao & Duangkamon Chotikapanich, 2012. "Inference for Income Distributions Using Grouped Data," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 30(4), pages 563-575, May.
    7. Gholamreza Hajargsht & William E. Griffiths & Joseph Brice & D.S. Prasada Rao & Duangkamon Chotikapanich, 2011. "GMM Estimation of Income Distributions from Grouped Data," Department of Economics - Working Papers Series 1129, The University of Melbourne.
    8. Chen, Yaqing & Dawson, Matthew & Müller, Hans-Georg, 2020. "Rank dynamics for functional data," Computational Statistics & Data Analysis, Elsevier, vol. 149(C).
    9. Henderson, Daniel J. & Tochkov, Kiril & Badunenko, Oleg, 2007. "A drive up the capital coast? Contributions to post-reform growth across Chinese provinces," Journal of Macroeconomics, Elsevier, vol. 29(3), pages 569-594, September.
    10. Ximing Wu & Andreas Savvides & Thanasis Stengos, 2008. "The Global Joint Distribution of Income and Health," Working Papers 0807, University of Guelph, Department of Economics and Finance.
    11. Molero-Simarro, Ricardo, 2017. "Inequality in China revisited. The effect of functional distribution of income on urban top incomes, the urban-rural gap and the Gini index, 1978–2015," China Economic Review, Elsevier, vol. 42(C), pages 101-117.
    12. Jin, Hailong & Qian, Hang & Wang, Tong & Choi, E Kwan, 2014. "Income Distribution in Urban China: An Overlooked Data Inconsistency Issue," Staff General Research Papers Archive 37381, Iowa State University, Department of Economics.
    13. Gao, Li, 2015. "Evolution of consumption distribution and model of wealth distribution in China between 1995 and 2012," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 429(C), pages 76-86.
    14. H. Christoph Steinhardt & Jan Delhey, 2020. "Socio-Economic Modernization and the “Crisis of Trust” in China: A Multi-level Analysis of General and Particular Trust," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 152(3), pages 923-949, December.
    15. Cao, Jing & Ho, Mun Sing & Li, Yating & Newell, Richard G. & Pizer, William A., 2019. "Chinese residential electricity consumption: Estimation and forecast using micro-data," Resource and Energy Economics, Elsevier, vol. 56(C), pages 6-27.
    16. Gordon Anderson & Tongtong Hao & Maria Grazia Pittau, 2016. "Income Inequality, Family Formation and Generational Mobility in Urban China," Working Papers tecipa-563, University of Toronto, Department of Economics.
    17. Anderson, Gordon & Farcomeni, Alessio & Pittau, Maria Grazia & Zelli, Roberto, 2016. "A new approach to measuring and studying the characteristics of class membership: Examining poverty, inequality and polarization in urban China," Journal of Econometrics, Elsevier, vol. 191(2), pages 348-359.
    18. Lars Osberg & Jiaping Shao & Kuan Xu, 2007. "The Growth of Poor Children in China 1991-2000: Why Food Subsidies May Matter," Working Papers daleconwp2007-09, Dalhousie University, Department of Economics.
    19. Arslan Razmi, 2008. "Is the Chinese Investment- and Export-Led Growth Model Sustainable? Some Rising Concerns," UMASS Amherst Economics Working Papers 2008-09, University of Massachusetts Amherst, Department of Economics.
    20. Hou, Xiaohui & Coyne, Joseph, 2008. "The emergence of proprietary medical facilities in China," Health Policy, Elsevier, vol. 88(1), pages 141-151, October.
    21. Ivana Malá, 2013. "Použití konečných směsí logaritmicko-normálních rozdělení pro modelování příjmů českých domácností [The Use of Finite Mixtures of Lognormal Distribution for the Modelling of Household Income Distri," Politická ekonomie, Prague University of Economics and Business, vol. 2013(3), pages 356-372.

  15. Wu, Ximing & Perloff, Jeffrey M., 2005. "GMM Estimation of a Maximum Distribution With Interval Data," Institute for Research on Labor and Employment, Working Paper Series qt7jf5w1ht, Institute of Industrial Relations, UC Berkeley.

    Cited by:

    1. Sun, Yuying & Zhang, Xinyu & Wan, Alan T.K. & Wang, Shouyang, 2022. "Model averaging for interval-valued data," European Journal of Operational Research, Elsevier, vol. 301(2), pages 772-784.
    2. Piao Wang & Shahid Hussain Gurmani & Zhifu Tao & Jinpei Liu & Huayou Chen, 2024. "Interval time series forecasting: A systematic literature review," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 43(2), pages 249-285, March.
    3. Lee, Jongchul, 2013. "A provincial perspective on income inequality in urban China and the role of property and business income," China Economic Review, Elsevier, vol. 26(C), pages 140-150.

  16. Thanasis Stengos & Ximing Wu, 2005. "Partially Adaptive Estimation via Maximum Entropy Densities," University of Cyprus Working Papers in Economics 6-2005, University of Cyprus Department of Economics.

    Cited by:

    1. Usta, Ilhan & Kantar, Yeliz Mert, 2011. "On the performance of the flexible maximum entropy distributions within partially adaptive estimation," Computational Statistics & Data Analysis, Elsevier, vol. 55(6), pages 2172-2182, June.
    2. Rompolis, Leonidas S., 2010. "Retrieving risk neutral densities from European option prices based on the principle of maximum entropy," Journal of Empirical Finance, Elsevier, vol. 17(5), pages 918-937, December.
    3. Steven Caudill & James Long, 2010. "Do former athletes make better managers? Evidence from a partially adaptive grouped-data regression model," Empirical Economics, Springer, vol. 39(1), pages 275-290, August.
    4. Wu, Ximing & Perloff, Jeffrey M., 2005. "GMM Estimation of a Maximum Distribution With Interval Data," Institute for Research on Labor and Employment, Working Paper Series qt7jf5w1ht, Institute of Industrial Relations, UC Berkeley.
    5. Steven Caudill, 2012. "A partially adaptive estimator for the censored regression model based on a mixture of normal distributions," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 21(2), pages 121-137, June.
    6. Thanasis Stengos & Ximing Wu, 2010. "Information-Theoretic Distribution Test with Application to Normality," Econometric Reviews, Taylor & Francis Journals, vol. 29(3), pages 307-329.
    7. Katherine G. Yewell & Steven B. Caudill & Franklin G. Mixon, Jr., 2014. "Referee Bias and Stoppage Time in Major League Soccer: A Partially Adaptive Approach," Econometrics, MDPI, vol. 2(1), pages 1-19, February.
    8. Emanuele Taufer & Sudip Bose & Aldo Tagliani, 2009. "Optimal predictive densities and fractional moments," Applied Stochastic Models in Business and Industry, John Wiley & Sons, vol. 25(1), pages 57-71, January.
    9. Sella Lisa, 2008. "Old and New Spectral Techniques for Economic Time Series," Department of Economics and Statistics Cognetti de Martiis. Working Papers 200809, University of Turin.
    10. Pendharkar, Parag C., 2008. "Maximum entropy and least square error minimizing procedures for estimating missing conditional probabilities in Bayesian networks," Computational Statistics & Data Analysis, Elsevier, vol. 52(7), pages 3583-3602, March.

  17. Wu, Ximing & Perloff, Jeffrey M., 2004. "China'S Income Distribution Over Time: Reasons For Rising Inequality," 2004 Annual meeting, August 1-4, Denver, CO 20061, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).

    Cited by:

    1. Francesco Schettino & Alberto Gabriele, 2008. "Child malnutrition and mortality in China and Vietnam in a comparative perspective," Economic Change and Restructuring, Springer, vol. 41(1), pages 29-59, March.
    2. Ling, Davina C., 2009. "Do the Chinese "Keep up with the Jones"?: Implications of peer effects, growing economic disparities and relative deprivation on health outcomes among older adults in China," China Economic Review, Elsevier, vol. 20(1), pages 65-81, March.
    3. Wu, Ximing & Perloff, Jeffrey M., 2005. "GMM Estimation of a Maximum Distribution With Interval Data," Institute for Research on Labor and Employment, Working Paper Series qt7jf5w1ht, Institute of Industrial Relations, UC Berkeley.
    4. Mitra, Pradeep & Yemtsov, Ruslan, 2006. "Increasing inequality in transition economies : is there more to come?," Policy Research Working Paper Series 4007, The World Bank.
    5. Gu, Xinhua & Tam, Pui Sun, 2013. "The saving–growth–inequality triangle in China," Economic Modelling, Elsevier, vol. 33(C), pages 850-857.
    6. Broich, T. & Szirmai, A., 2014. "China's economic embrace of Africa: An international comparative perspective," MERIT Working Papers 2014-049, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
    7. Alberto, Gabriele & Schettino, Francesco, 2006. "Child Mortality In China And Vietnam In A Comparative Perspective," MPRA Paper 3987, University Library of Munich, Germany, revised Dec 2006.
    8. Coes, Donald V., 2008. "Income distribution trends in Brazil and China: Evaluating absolute and relative economic growth," The Quarterly Review of Economics and Finance, Elsevier, vol. 48(2), pages 359-369, May.
    9. Qin Gao, 2006. "Social Benefits in Urban China: Determinants and Impact on Income Inequality in 1988 and 2002," WIDER Working Paper Series RP2006-117, World Institute for Development Economic Research (UNU-WIDER).
    10. Zhongwei Zhao, 2006. "Income Inequality, Unequal Health Care Access, and Mortality in China," Population and Development Review, The Population Council, Inc., vol. 32(3), pages 461-483, September.
    11. Khor, Niny & Pencavel, John, 2008. "Measuring Income Mobility, Income Inequality, and Social Welfare for Households of the People’s Republic of China," ADB Economics Working Paper Series 145, Asian Development Bank.
    12. Staley, Mark, 2018. "The Knowledge-Diffusion Bottleneck in Economic Growth and Development," MPRA Paper 87255, University Library of Munich, Germany.
    13. Dong, Xiao-Ying & Hao, Yu, 2018. "Would income inequality affect electricity consumption? Evidence from China," Energy, Elsevier, vol. 142(C), pages 215-227.
    14. Long KE, 2015. "A Study on China fs Social Safety Institution and Income Disparity," Public Policy Review, Policy Research Institute, Ministry of Finance Japan, vol. 11(1), pages 205-230, March.
    15. James K. Galbraith & Ludmila Krytynskaia & Qifei Wang, 2004. "The Experience of Rising Inequality in Russia and China during the Transition," European Journal of Comparative Economics, Cattaneo University (LIUC), vol. 1(1), pages 87-106, June.

  18. Jeffrey M. Perloff & Ximing Wu, 2004. "China's Income Distribution and Inequality," Econometric Society 2004 North American Summer Meetings 316, Econometric Society.

    Cited by:

    1. Francesco Schettino & Alberto Gabriele, 2008. "Child malnutrition and mortality in China and Vietnam in a comparative perspective," Economic Change and Restructuring, Springer, vol. 41(1), pages 29-59, March.
    2. Wu, Ximing & Perloff, Jeffrey M., 2005. "GMM Estimation of a Maximum Distribution With Interval Data," Institute for Research on Labor and Employment, Working Paper Series qt7jf5w1ht, Institute of Industrial Relations, UC Berkeley.
    3. Mitra, Pradeep & Yemtsov, Ruslan, 2006. "Increasing inequality in transition economies : is there more to come?," Policy Research Working Paper Series 4007, The World Bank.
    4. Alberto, Gabriele & Schettino, Francesco, 2006. "Child Mortality In China And Vietnam In A Comparative Perspective," MPRA Paper 3987, University Library of Munich, Germany, revised Dec 2006.
    5. Lee, Jongchul, 2013. "A provincial perspective on income inequality in urban China and the role of property and business income," China Economic Review, Elsevier, vol. 26(C), pages 140-150.
    6. Dong, Xiao-Ying & Hao, Yu, 2018. "Would income inequality affect electricity consumption? Evidence from China," Energy, Elsevier, vol. 142(C), pages 215-227.
    7. James K. Galbraith & Ludmila Krytynskaia & Qifei Wang, 2004. "The Experience of Rising Inequality in Russia and China during the Transition," European Journal of Comparative Economics, Cattaneo University (LIUC), vol. 1(1), pages 87-106, June.

  19. Amegashie, J.A. & Wu, X., 2004. "Self Selection in Competing All-Pay Auctions," Working Papers 2004-1, University of Guelph, Department of Economics and Finance.

    Cited by:

    1. Amegashie, J. Atsu, 2019. "Quantity-cum-quality contests," European Journal of Political Economy, Elsevier, vol. 58(C), pages 289-297.
    2. Konrad, Kai A. & Kovenock, Dan, 2011. "The lifeboat problem," Discussion Papers, Research Professorship & Project "The Future of Fiscal Federalism" SP II 2011-106, WZB Berlin Social Science Center.
    3. Timothy Mathews & Soiliou Namoro, 2008. "Participation incentives in rank order tournaments with endogenous entry," Journal of Economics, Springer, vol. 95(1), pages 1-23, October.
    4. Konrad, Kai A., 2007. "Strategy in contests: an introduction [Strategie in Turnieren – eine Einführung]," Discussion Papers, Research Unit: Market Processes and Governance SP II 2007-01, WZB Berlin Social Science Center.
    5. Martin Grossmann, 2021. "Entry regulations and optimal prize allocation in parallel contests," Review of Economic Design, Springer;Society for Economic Design, vol. 25(4), pages 289-316, December.
    6. Soiliou Namoro & Timothy Mathews, 2006. "Participation Incentives in Rank Order Tournaments with Endogenous Entry," Working Paper 250, Department of Economics, University of Pittsburgh, revised Feb 2008.

  20. Wu, Ximing & Perloff, Jeffrey M. & Golan, Amos, 2002. "Effects of Government Policies on Income Distribution and Welfare," Institute for Research on Labor and Employment, Working Paper Series qt6jx7h62v, Institute of Industrial Relations, UC Berkeley.

    Cited by:

    1. El-Osta, Hisham S. & Mishra, Ashok K., 2005. "Dimensions of Wealth Dispersion Among Farm Operator Households: An Assessment of the Impact of Farm Subsidies," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 37(1), pages 1-22, April.
    2. Alesina, Alberto & MacCulloch, Robert & Di Tella, Rafael, 2001. "Inequality and Happiness: Are Europeans and Americans Different?," CEPR Discussion Papers 2877, C.E.P.R. Discussion Papers.
    3. Leigh, Andrew, 2008. "Estimating the impact of gubernatorial partisanship on policy settings and economic outcomes: A regression discontinuity approach," European Journal of Political Economy, Elsevier, vol. 24(1), pages 256-268, March.
    4. Wu, Xuming & Perloff, Jeffrey M. & Golan, Amos, 2004. "Government Policy Effects on Urban and Rural Income Inequality," Institute for Research on Labor and Employment, Working Paper Series qt1111d59t, Institute of Industrial Relations, UC Berkeley.
    5. Łukasz Rawdanowicz & Eckhard Wurzel & Ane Kathrine Christensen, 2013. "The Equity Implications of Fiscal Consolidation," OECD Economics Department Working Papers 1013, OECD Publishing.
    6. Minoiu, Camelia & Andres, Antonio Rodriguez, 2008. "The effect of public spending on suicide: Evidence from U.S. state data," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 37(1), pages 237-261, February.
    7. Kalenborn, Christine & Lessmann, Christian, 2014. "Regional Income Inequality lowers Life Satisfaction: Evidence from OECD Countries," VfS Annual Conference 2014 (Hamburg): Evidence-based Economic Policy 100561, Verein für Socialpolitik / German Economic Association.
    8. Craig Gundersen & James Ziliak, 2004. "Poverty and macroeconomic performance across space, race, and family structure," Demography, Springer;Population Association of America (PAA), vol. 41(1), pages 61-86, February.
    9. Nguyen, Jessica & Dinh, Tue & Selart, Marcus, 2020. "The predicting abilities of social trust and good governance on economic crisis duration," SocArXiv bjkpd, Center for Open Science.
    10. Andrew Leigh, 2005. "What’s the Difference Between a Donkey and an Elephant? Using Panel Data from US States to Estimate the Impact of Partisanship on Policy Settings and Economic Outcomes," CEPR Discussion Papers 504, Centre for Economic Policy Research, Research School of Economics, Australian National University.

  21. Golan, Amos & Perloff, Jeffrey M. & Wu, Ximing, 2001. "Welfare Effects of Minimum Wage and Other Government Policies," Department of Agricultural & Resource Economics, UC Berkeley, Working Paper Series qt0gb7h58q, Department of Agricultural & Resource Economics, UC Berkeley.

    Cited by:

    1. Taiwo Aderemi, 2017. "Minimum Wage and the Working Poor in Nigeria: Is there a Link?," The Indian Journal of Labour Economics, Springer;The Indian Society of Labour Economics (ISLE), vol. 60(3), pages 481-499, September.
    2. Scott Adams & David Neumark, 2003. "Living Wage Effects: New and Improved Evidence," NBER Working Papers 9702, National Bureau of Economic Research, Inc.
    3. Ying, Yung-hsiang & Lee, Wenli & Chang, Koyin, 2020. "Mandate-based welfare policies and the effect on real wage – The case of Taiwan," Economic Modelling, Elsevier, vol. 90(C), pages 417-427.

Articles

  1. Wen, Kuangyu & Wu, Ximing, 2017. "Smoothed kernel conditional density estimation," Economics Letters, Elsevier, vol. 152(C), pages 112-116.

    Cited by:

    1. Aouicha, Lamia & Messaci, Fatiha, 2019. "Kernel estimation of the conditional density under a censorship model," Statistics & Probability Letters, Elsevier, vol. 145(C), pages 173-180.
    2. Xu, Bing & Lin, Weiran & Taqi, Syed Ali, 2020. "The impact of wind and non-wind factors on PM2.5 levels," Technological Forecasting and Social Change, Elsevier, vol. 154(C).
    3. Xu, Bing & Costa-Climent, Ricardo & Wang, Yanyan & Xiao, Yuan, 2020. "Financial support for micro and small enterprises: Economic benefit or social responsibility?," Journal of Business Research, Elsevier, vol. 115(C), pages 266-271.

  2. Juan Lin & Ximing Wu, 2017. "A sequential test for the specification of predictive densities," Econometrics Journal, Royal Economic Society, vol. 20(2), pages 190-220, June.

    Cited by:

    1. Jonas Dovern & Hans Manner, 2018. "Order Invariant Tests for Proper Calibration of Multivariate Density Forecasts," CESifo Working Paper Series 7023, CESifo.

  3. Chung-Shin Liu & Meng-Shiuh Chang & Ximing Wu & Chin Man Chui, 2016. "Hedges or safe havens—revisit the role of gold and USD against stock: a multivariate extended skew- copula approach," Quantitative Finance, Taylor & Francis Journals, vol. 16(11), pages 1763-1789, November.

    Cited by:

    1. Baumöhl, Eduard & Lyócsa, Štefan, 2017. "Directional predictability from stock market sector indices to gold: A cross-quantilogram analysis," Finance Research Letters, Elsevier, vol. 23(C), pages 152-164.
    2. Arif, Muhammad & Naeem, Muhammad Abubakr & Farid, Saqib & Nepal, Rabindra & Jamasb, Tooraj, 2022. "Diversifier or more? Hedge and safe haven properties of green bonds during COVID-19," Energy Policy, Elsevier, vol. 168(C).
    3. Tachibana, Minoru, 2022. "Safe haven assets for international stock markets: A regime-switching factor copula approach," Research in International Business and Finance, Elsevier, vol. 60(C).
    4. Yun Shi & Lin Yang & Mei Huang & Jun Steed Huang, 2021. "Multi-Factorized Semi-Covariance of Stock Markets and Gold Price," JRFM, MDPI, vol. 14(4), pages 1-11, April.
    5. Wen, Xiaoqian & Cheng, Hua, 2018. "Which is the safe haven for emerging stock markets, gold or the US dollar?," Emerging Markets Review, Elsevier, vol. 35(C), pages 69-90.
    6. Zeng, Sheng & Liu, Xinchun & Li, Xiafei & Wei, Qi & Shang, Yue, 2019. "Information dominance among hedging assets: Evidence from return and volatility directional spillovers in time and frequency domains," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 536(C).
    7. Meng-Shiuh Chang & Meng-Wei Chen & Peijie Ju, 2023. "Asymmetry in Hedges, Safe Havens, Flights and Contagion: Unconditional Quantile Regression Approach," SAGE Open, , vol. 13(4), pages 21582440231, November.
    8. Dong, Xiyong & Li, Changhong & Yoon, Seong-Min, 2021. "How can investors build a better portfolio in small open economies? Evidence from Asia’s Four Little Dragons," The North American Journal of Economics and Finance, Elsevier, vol. 58(C).
    9. Wei Huang & Meng-Shiuh Chang, 2021. "Gold and Government Bonds as Safe-Haven Assets Against Stock Market Turbulence in China," SAGE Open, , vol. 11(1), pages 21582440219, January.
    10. Lei Ming & Yao Shen & Shenggang Yang & Minyi Dong, 2022. "Contagion or flight‐to‐quality? The linkage between oil price and the US dollar based on the local Gaussian approach," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 42(4), pages 722-750, April.
    11. Rizvi, Syed Kumail Abbas & Naqvi, Bushra & Mirza, Nawazish & Umar, Muhammad, 2022. "Safe haven properties of green, Islamic, and crypto assets and investor's proclivity towards treasury and gold," Energy Economics, Elsevier, vol. 115(C).
    12. Cho, Dooyeon & Han, Heejoon, 2021. "The tail behavior of safe haven currencies: A cross-quantilogram analysis," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 70(C).
    13. Chang, Meng-Shiuh & Ju, Peijie & Liu, Yilei & Hsueh, Shao-Chieh, 2022. "Determining hedges and safe havens for stocks using interval analysis," The North American Journal of Economics and Finance, Elsevier, vol. 61(C).
    14. Yuri Salazar Flores & Adán Díaz-Hernández, 2021. "Counterdiagonal/nonpositive tail dependence in Vine copula constructions: application to portfolio management," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 30(2), pages 375-407, June.

  4. Chang, Meng-Shiuh & Wu, Ximing, 2015. "Transformation-based nonparametric estimation of multivariate densities," Journal of Multivariate Analysis, Elsevier, vol. 135(C), pages 71-88.

    Cited by:

    1. Nan Yang & Yu Huang & Dengxu Hou & Songkai Liu & Di Ye & Bangtian Dong & Youping Fan, 2019. "Adaptive Nonparametric Kernel Density Estimation Approach for Joint Probability Density Function Modeling of Multiple Wind Farms," Energies, MDPI, vol. 12(7), pages 1-15, April.
    2. Perloff, Jeffrey M. & Schlenker, Wolfram & Sears, Molly & Wu, Ximing, 2020. "Crop Failures from Temperature and Precipitation Shocks: Implications for U.S. Crop Insurance," 2020 Annual Meeting, July 26-28, Kansas City, Missouri 304540, Agricultural and Applied Economics Association.

  5. Kuangyu Wen & Ximing Wu, 2015. "An Improved Transformation-Based Kernel Estimator of Densities on the Unit Interval," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 110(510), pages 773-783, June.

    Cited by:

    1. Mynbayev, Kairat & Martins-Filho, Carlos, 2017. "Unified estimation of densities on bounded and unbounded domains," MPRA Paper 87044, University Library of Munich, Germany, revised Jan 2018.
    2. Tepegjozova Marija & Zhou Jing & Claeskens Gerda & Czado Claudia, 2022. "Nonparametric C- and D-vine-based quantile regression," Dependence Modeling, De Gruyter, vol. 10(1), pages 1-21, January.

  6. Juan Lin & Ximing Wu, 2015. "Smooth Tests of Copula Specifications," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 33(1), pages 128-143, January.

    Cited by:

    1. Yang, Bingduo & Cai, Zongwu & Hafner, Christian M. & Liu, Guannan, 2018. "Trending Mixture Copula Models with Copula Selection," IRTG 1792 Discussion Papers 2018-057, Humboldt University of Berlin, International Research Training Group 1792 "High Dimensional Nonstationary Time Series".
    2. Wojciech CHAREMZA & Carlos DÍAZ & Svetlana MAKAROVA, 2019. "Conditional Term Structure of Inflation Forecast Uncertainty: The Copula Approach," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(1), pages 5-18, March.

  7. Yichen Gao & Yu Zhang & Ximing Wu, 2015. "Penalized exponential series estimation of copula densities with an application to intergenerational dependence of body mass index," Empirical Economics, Springer, vol. 48(1), pages 61-81, February.

    Cited by:

    1. Wen, Kuangyu & Wu, Ximing, 2017. "Smoothed kernel conditional density estimation," Economics Letters, Elsevier, vol. 152(C), pages 112-116.
    2. Eddie Anderson & Artem Prokhorov & Yajing Zhu, 2020. "A Simple Estimator of Two‐Dimensional Copulas, with Applications," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 82(6), pages 1375-1412, December.
    3. Perloff, Jeffrey M. & Schlenker, Wolfram & Sears, Molly & Wu, Ximing, 2020. "Crop Failures from Temperature and Precipitation Shocks: Implications for U.S. Crop Insurance," 2020 Annual Meeting, July 26-28, Kansas City, Missouri 304540, Agricultural and Applied Economics Association.

  8. Fang, Ying & Li, Qi & Wu, Ximing & Zhang, Daiqiang, 2015. "A data-driven smooth test of symmetry," Journal of Econometrics, Elsevier, vol. 188(2), pages 490-501.

    Cited by:

    1. Dai, Xinjie & Niu, Cuizhen & Guo, Xu, 2018. "Testing for central symmetry and inference of the unknown center," Computational Statistics & Data Analysis, Elsevier, vol. 127(C), pages 15-31.
    2. Chen, Songnian & Zhou, Yahong & Ji, Yuanyuan, 2018. "Nonparametric identification and estimation of sample selection models under symmetry," Journal of Econometrics, Elsevier, vol. 202(2), pages 148-160.
    3. Delgado, Miguel A. & Song, Xiaojun, 2018. "Nonparametric tests for conditional symmetry," Journal of Econometrics, Elsevier, vol. 206(2), pages 447-471.
    4. Masayuki Hirukawa & Mari Sakudo, 2016. "Testing Symmetry of Unknown Densities via Smoothing with the Generalized Gamma Kernels," Econometrics, MDPI, vol. 4(2), pages 1-27, June.
    5. Niu, Cuizhen & Guo, Xu & Li, Yong & Zhu, Lixing, 2018. "Pairwise distance-based tests for conditional symmetry," Computational Statistics & Data Analysis, Elsevier, vol. 128(C), pages 145-162.

  9. Trang Dang & David Leatham & Bruce A. McCarl & Ximing Wu, 2014. "Measuring the efficiency of the Farm Credit System," Agricultural Finance Review, Emerald Group Publishing Limited, vol. 74(1), pages 38-54, April.

    Cited by:

    1. Gregory McKee & Albert Kagan, 2019. "The differential impact of the Dodd–Frank Act on niche non-metro lenders," Journal of Banking Regulation, Palgrave Macmillan, vol. 20(4), pages 291-301, December.
    2. Song, Minrong & Escalante, Cesar L., 2014. "Pre- and Post- Recession Input Allocation Decisions of Farm Credit System Lending Units," 2014 Annual Meeting, July 27-29, 2014, Minneapolis, Minnesota 170080, Agricultural and Applied Economics Association.

  10. Sukcharoen, Kunlapath & Zohrabyan, Tatevik & Leatham, David & Wu, Ximing, 2014. "Interdependence of oil prices and stock market indices: A copula approach," Energy Economics, Elsevier, vol. 44(C), pages 331-339.

    Cited by:

    1. Esin Cakan & Rıza Demirer & Rangan Gupta & Hardik A. Marfatia, 2017. "Oil Speculation and Herding Behavior in Emerging Stock Markets," Working Papers 201749, University of Pretoria, Department of Economics.
    2. Marimoutou, Vêlayoudom & Soury, Manel, 2015. "Energy markets and CO2 emissions: Analysis by stochastic copula autoregressive model," Energy, Elsevier, vol. 88(C), pages 417-429.
    3. Benkraiem, Ramzi & Lahiani, Amine & Miloudi, Anthony & Shahbaz, Muhammad, 2018. "New insights into the US stock market reactions to energy price shocks," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 56(C), pages 169-187.
    4. Salisu, Afees A. & Raheem, Ibrahim D. & Ndako, Umar B., 2019. "A sectoral analysis of asymmetric nexus between oil price and stock returns," International Review of Economics & Finance, Elsevier, vol. 61(C), pages 241-259.
    5. Mo, Xuan & Su, Zhi & Yin, Libo, 2019. "Can the skewness of oil returns affect stock returns? Evidence from China’s A-Share markets," The North American Journal of Economics and Finance, Elsevier, vol. 50(C).
    6. Suliman Zakaria S. Abdalla, 2014. "The Impact of Oil Price Fluctuations on the Sudanese Stock Market Performance," Working Papers 887, Economic Research Forum, revised Dec 2014.
    7. Julia Kielmann & Hans Manner & Aleksey Min, 2022. "Stock market returns and oil price shocks: A CoVaR analysis based on dynamic vine copula models," Empirical Economics, Springer, vol. 62(4), pages 1543-1574, April.
    8. Chang, C-L. & McAleer, M.J. & Wang, Y., 2016. "Testing Co-Volatility Spillovers for Natural Gas Spot, Futures and ETF Spot using Dynamic Conditional Covariances," Econometric Institute Research Papers EI2016-29, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    9. Nguyen, Hoang & Virbickaitė, Audronė, 2023. "Modeling stock-oil co-dependence with Dynamic Stochastic MIDAS Copula models," Energy Economics, Elsevier, vol. 124(C).
    10. K.S., Sujit & Ray, Subhajyoti, 2023. "Linear and nonlinear asymmetric relationship in crude oil, gold, stock market and exchange rates: An evidence from the UAE," Resources Policy, Elsevier, vol. 83(C).
    11. Vêlayoudom Marimoutou & Manel Soury, 2015. "Energy Markets and CO2 Emissions: Analysis by Stochastic Copula Autoregressive Model," AMSE Working Papers 1520, Aix-Marseille School of Economics, France.
    12. Katarzyna Kuziak & Joanna Górka, 2023. "Dependence Analysis for the Energy Sector Based on Energy ETFs," Energies, MDPI, vol. 16(3), pages 1-30, January.
    13. Escobari, Diego & Sharma, Shahil, 2020. "Explaining the nonlinear response of stock markets to oil price shocks," Energy, Elsevier, vol. 213(C).
    14. Ramzi Benkraiem & Thi Hong Van Hoang & Amine Lahiani & Anthony Miloudi, 2018. "Crude oil and equity markets in major European countries: New evidence," Post-Print hal-01914607, HAL.
    15. Waqas Hanif & Jose Arreola Hernandez & Perry Sadorsky & Seong-Min Yoon, 2020. "Are the interdependence characteristics of the US and Canadian energy equity sectors nonlinear and asymmetric?," Post-Print hal-02567429, HAL.
    16. Guizhou Liu & Xiao-Jing Cai & Shigeyuki Hamori, 2018. "Modeling the Dependence Structure of Share Prices among Three Chinese City Banks," JRFM, MDPI, vol. 11(4), pages 1-18, September.
    17. Zhang, Guofu & Liu, Wei, 2018. "Analysis of the international propagation of contagion between oil and stock markets," Energy, Elsevier, vol. 165(PA), pages 469-486.
    18. Reboredo, Juan C. & Ugolini, Andrea, 2016. "Quantile dependence of oil price movements and stock returns," Energy Economics, Elsevier, vol. 54(C), pages 33-49.
    19. Balcilar, Mehmet & Demirer, Rıza & Hammoudeh, Shawkat, 2019. "Quantile relationship between oil and stock returns: Evidence from emerging and frontier stock markets," Energy Policy, Elsevier, vol. 134(C).
    20. Mensi, Walid & Hammoudeh, Shawkat & Vinh Vo, Xuan & Hoon Kang, Sang, 2021. "Volatility spillovers between oil and equity markets and portfolio risk implications in the US and vulnerable EU countries," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 75(C).
    21. Fang, Sheng & Egan, Paul, 2018. "Measuring contagion effects between crude oil and Chinese stock market sectors," The Quarterly Review of Economics and Finance, Elsevier, vol. 68(C), pages 31-38.
    22. Joo, Young C. & Park, Sung Y., 2021. "The impact of oil price volatility on stock markets: Evidences from oil-importing countries," Energy Economics, Elsevier, vol. 101(C).
    23. Cao, Guangxi & Xie, Wenhao, 2021. "The impact of the shutdown policy on the asymmetric interdependence structure and risk transmission of cryptocurrency and China’s financial market," The North American Journal of Economics and Finance, Elsevier, vol. 58(C).
    24. Mushtaq Hussain Khan & Junaid Ahmed & Mazhar Mughal, 2020. "Oil Price Volatility and Stock Returns: Evidence from Three Oil-price Wars," PIDE-Working Papers 2020:22, Pakistan Institute of Development Economics.
    25. Chen, Chun-Da & Cheng, Chiao-Ming & Demirer, Rıza, 2017. "Oil and stock market momentum," Energy Economics, Elsevier, vol. 68(C), pages 151-159.
    26. Silvapulle, Param & Smyth, Russell & Zhang, Xibin & Fenech, Jean-Pierre, 2017. "Nonparametric panel data model for crude oil and stock market prices in net oil importing countries," Energy Economics, Elsevier, vol. 67(C), pages 255-267.
    27. Zhu, Pengfei & Tang, Yong & Wei, Yu & Dai, Yimin & Lu, Tuantuan, 2021. "Relationships and portfolios between oil and Chinese stock sectors: A study based on wavelet denoising-higher moments perspective," Energy, Elsevier, vol. 217(C).
    28. Umar, Zaghum & Usman, Muhammad & Choi, Sun-Yong & Rice, John, 2023. "Diversification benefits of NFTs for conventional asset investors: Evidence from CoVaR with higher moments and optimal hedge ratios," Research in International Business and Finance, Elsevier, vol. 65(C).
    29. Hammami Algia & Bouri Abdelfatteh, 2018. "The Conditional Relationship between Oil Price Risk and Return Stock Market: a Comparative Study of Advanced and Emerging Countries," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 9(4), pages 1321-1347, December.
    30. Stanley Uche Akachukwu, 2022. "Oil price dynamics and firms' stock returns in the Nigeria stock market," African Development Review, African Development Bank, vol. 34(4), pages 472-486, December.
    31. Xu, Xin & Huang, Shupei & An, Haizhong, 2022. "The dynamic moderating function of the exchange rate market on the oil-stock nexus," International Review of Financial Analysis, Elsevier, vol. 81(C).
    32. You, Wanhai & Guo, Yawei & Zhu, Huiming & Tang, Yong, 2017. "Oil price shocks, economic policy uncertainty and industry stock returns in China: Asymmetric effects with quantile regression," Energy Economics, Elsevier, vol. 68(C), pages 1-18.
    33. Anatolyev, Stanislav & Pyrlik, Vladimir, 2022. "Copula shrinkage and portfolio allocation in ultra-high dimensions," Journal of Economic Dynamics and Control, Elsevier, vol. 143(C).
    34. Zhifang He & Jiaqi Chen & Fangzhao Zhou & Guoqing Zhang & Fenghua Wen, 2022. "Oil price uncertainty and the risk‐return relation in stock markets: Evidence from oil‐importing and oil‐exporting countries," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 27(1), pages 1154-1172, January.
    35. Xiang-Yu Li & Yu Liu & Chu-Jie Chen & Tao Jiang, 2016. "A copula-based reliability modeling for nonrepairable multi-state k-out-of-n systems with dependent components," Journal of Risk and Reliability, , vol. 230(2), pages 133-146, April.
    36. Mensi, Walid & Hanif, Waqas & Vo, Xuan Vinh & Choi, Ki-Hong & Yoon, Seong-Min, 2023. "Upside/Downside spillovers between oil and Chinese stock sectors: From the global financial crisis to global pandemic," The North American Journal of Economics and Finance, Elsevier, vol. 67(C).
    37. He, Kaijian & Liu, Youjin & Yu, Lean & Lai, Kin Keung, 2016. "Multiscale dependence analysis and portfolio risk modeling for precious metal markets," Resources Policy, Elsevier, vol. 50(C), pages 224-233.
    38. Shahzad, Syed Jawad Hussain & Mensi, Walid & Hammoudeh, Shawkat & Rehman, Mobeen Ur & Al-Yahyaee, Khamis H., 2018. "Extreme dependence and risk spillovers between oil and Islamic stock markets," Emerging Markets Review, Elsevier, vol. 34(C), pages 42-63.
    39. Kuang-Liang Chang, 2021. "A New Dynamic Mixture Copula Mechanism to Examine the Nonlinear and Asymmetric Tail Dependence Between Stock and Exchange Rate Returns," Computational Economics, Springer;Society for Computational Economics, vol. 58(4), pages 965-999, December.
    40. Ferreiro Javier Ojea, 2019. "Structural change in the link between oil and the European stock market: implications for risk management," Dependence Modeling, De Gruyter, vol. 7(1), pages 53-125, January.
    41. Mabanga, Chris & Bonga-Bonga, Lumengo, 2020. "The effects of oil prices on equity market returns in BRICS grouping: A quantile-on-quantile approach," MPRA Paper 101403, University Library of Munich, Germany.
    42. Badeeb, Ramez Abubakr & Lean, Hooi Hooi, 2018. "Asymmetric impact of oil price on Islamic sectoral stocks," Energy Economics, Elsevier, vol. 71(C), pages 128-139.
    43. Urom, Christian & Ndubuisi, Gideon & Ozor, Jude, 2021. "Economic activity, and financial and commodity markets’ shocks: An analysis of implied volatility indexes," International Economics, Elsevier, vol. 165(C), pages 51-66.
    44. Zhao, Zhao & Wen, Huwei & Li, Ke, 2021. "Identifying bubbles and the contagion effect between oil and stock markets: New evidence from China," Economic Modelling, Elsevier, vol. 94(C), pages 780-788.
    45. Stanislav Anatolyev & Vladimir Pyrlik, 2021. "Shrinkage for Gaussian and t Copulas in Ultra-High Dimensions," CERGE-EI Working Papers wp699, The Center for Economic Research and Graduate Education - Economics Institute, Prague.
    46. Khaled Guesmi & Zied Fiti & Ilyes Abid & Gazi Salah Uddin, 2016. "On the Time Varying Relationship between Oil Price and G7 Equity index: a Multivariate Approach," European Journal of Comparative Economics, Cattaneo University (LIUC), vol. 13(1), pages 67-79, June.
    47. Li, Guowen & Jing, Zhongbo & Li, Jingyu & Feng, Yuyao, 2023. "Drivers of risk correlation among financial institutions: A study based on a textual risk disclosure perspective," Economic Modelling, Elsevier, vol. 128(C).
    48. Sheng Fang & Paul Egan, 2021. "Tail dependence between oil prices and China's A‐shares: Evidence from firm‐level data," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(1), pages 1469-1487, January.
    49. Ehouman, Yao Axel, 2021. "Dependence structure between oil price volatility and sovereign credit risk of oil exporters: Evidence using a copula approach," International Economics, Elsevier, vol. 168(C), pages 76-97.
    50. Jiang, Zhuhua & Yoon, Seong-Min, 2020. "Dynamic co-movement between oil and stock markets in oil-importing and oil-exporting countries: Two types of wavelet analysis," Energy Economics, Elsevier, vol. 90(C).
    51. Zolfaghari, Mehdi & Ghoddusi, Hamed & Faghihian, Fatemeh, 2020. "Volatility spillovers for energy prices: A diagonal BEKK approach," Energy Economics, Elsevier, vol. 92(C).
    52. Hou, Yang & Li, Steven & Wen, Fenghua, 2019. "Time-varying volatility spillover between Chinese fuel oil and stock index futures markets based on a DCC-GARCH model with a semi-nonparametric approach," Energy Economics, Elsevier, vol. 83(C), pages 119-143.
    53. Patra, Saswat, 2021. "Revisiting value-at-risk and expected shortfall in oil markets under structural breaks: The role of fat-tailed distributions," Energy Economics, Elsevier, vol. 101(C).
    54. Ho, Anson T.Y. & Huynh, Kim P. & Jacho-Chávez, David T., 2019. "Using nonparametric copulas to measure crude oil price co-movements," Energy Economics, Elsevier, vol. 82(C), pages 211-223.
    55. Hassan, Kamrul & Hoque, Ariful & Gasbarro, Dominic, 2019. "Separating BRIC using Islamic stocks and crude oil: dynamic conditional correlation and volatility spillover analysis," Energy Economics, Elsevier, vol. 80(C), pages 950-969.
    56. Ngo Thai HUNG, 2020. "Conditional dependence between oil prices and CEE stock markets: a copula-GARCH approach Abstract: This study investigates both the constant and time-varying conditional dependency between crude oil a," Eastern Journal of European Studies, Centre for European Studies, Alexandru Ioan Cuza University, vol. 11, pages 62-86, June.
    57. Huiming Zhu & Xianfang Su & Wanhai You & Yinghua Ren, 2017. "Asymmetric effects of oil price shocks on stock returns: evidence from a two-stage Markov regime-switching approach," Applied Economics, Taylor & Francis Journals, vol. 49(25), pages 2491-2507, May.
    58. Kim, Jong-Min & Tabacu, Lucia & Jung, Hojin, 2020. "A quantile-copula approach to dependence between financial assets," The North American Journal of Economics and Finance, Elsevier, vol. 51(C).
    59. Huang, Shupei & An, Haizhong & Huang, Xuan & Wang, Yue, 2018. "Do all sectors respond to oil price shocks simultaneously?," Applied Energy, Elsevier, vol. 227(C), pages 393-402.
    60. Lu, Xinjie & Ma, Feng & Wang, Jiqian & Zhu, Bo, 2021. "Oil shocks and stock market volatility: New evidence," Energy Economics, Elsevier, vol. 103(C).
    61. Huang, Shupei & An, Haizhong & Gao, Xiangyun & Wen, Shaobo & Jia, Xiaoliang, 2016. "The global interdependence among oil-equity nexuses," Energy, Elsevier, vol. 107(C), pages 259-271.
    62. Zaighum, Isma & Aman, Ameenullah & Sharif, Arshian & Suleman, Muhammad Tahir, 2021. "Do energy prices interact with global Islamic stocks? Fresh insights from quantile ARDL approach," Resources Policy, Elsevier, vol. 72(C).
    63. Tiwari, Aviral Kumar & Trabelsi, Nader & Alqahtani, Faisal & Raheem, Ibrahim D., 2020. "Systemic risk spillovers between crude oil and stock index returns of G7 economies: Conditional value-at-risk and marginal expected shortfall approaches," Energy Economics, Elsevier, vol. 86(C).
    64. Stavrakoudis, Athanassios & Panagiotou, Dimitrios, 2016. "Price dependence between coffee qualities: a copula model to evaluate asymmetric responses," MPRA Paper 75994, University Library of Munich, Germany.
    65. Tian, Maoxi & Alshater, Muneer M. & Yoon, Seong-Min, 2022. "Dynamic risk spillovers from oil to stock markets: Fresh evidence from GARCH copula quantile regression-based CoVaR model," Energy Economics, Elsevier, vol. 115(C).
    66. Jinan Liu & Apostolos Serletis, 2022. "World Commodity Prices and Economic Activity in Advanced and Emerging Economies," Open Economies Review, Springer, vol. 33(2), pages 347-374, April.
    67. Sheng Fang & Xinsheng Lu & Paul G. Egan, 2018. "Reinvestigating the Oil Price–Stock Market Nexus: Evidence from Chinese Industry Stock Returns," China & World Economy, Institute of World Economics and Politics, Chinese Academy of Social Sciences, vol. 26(3), pages 43-62, May.
    68. Hashmi, Shabir Mohsin & Chang, Bisharat Hussain & Bhutto, Niaz Ahmed, 2021. "Asymmetric effect of oil prices on stock market prices: New evidence from oil-exporting and oil-importing countries," Resources Policy, Elsevier, vol. 70(C).
    69. Wanat, Stanisław & Papież, Monika & Śmiech, Sławomir, 2014. "Causality in distribution between European stock markets and commodity prices: Using independence test based on the empirical copula," MPRA Paper 57706, University Library of Munich, Germany.
    70. Tim Friedhoff & Cam-Duc Au & Philippe Krahnhof, 2023. "Analysis of the Impact of Orthogonalized Brent Oil Price Shocks on the Returns of Dependent Industries in Times of the Russian War," MUNI ECON Working Papers 2023-04, Masaryk University.
    71. Zhang, Dayong & Cao, Hong & Dickinson, David G. & Kutan, Ali M., 2016. "Free cash flows and overinvestment: Further evidence from Chinese energy firms," Energy Economics, Elsevier, vol. 58(C), pages 116-124.
    72. Liu, Bing-Yue & Fan, Ying & Ji, Qiang & Hussain, Nazim, 2022. "High-dimensional CoVaR network connectedness for measuring conditional financial contagion and risk spillovers from oil markets to the G20 stock system," Energy Economics, Elsevier, vol. 105(C).
    73. Stavrakoudis, Athanassios & Panagiotou, Dimitrios, 2016. "Price dependence and asymmetric responses between coffee varieties," Agricultural Economics Review, Greek Association of Agricultural Economists, vol. 17(2), June.
    74. Bouri, Elie, 2015. "Return and volatility linkages between oil prices and the Lebanese stock market in crisis periods," Energy, Elsevier, vol. 89(C), pages 365-371.
    75. Mensi, Walid & Al Rababa'a, Abdel Razzaq & Vo, Xuan Vinh & Kang, Sang Hoon, 2021. "Asymmetric spillover and network connectedness between crude oil, gold, and Chinese sector stock markets," Energy Economics, Elsevier, vol. 98(C).
    76. Benlagha, Noureddine, 2020. "Stock market dependence in crisis periods: Evidence from oil price shocks and the Qatar blockade," Research in International Business and Finance, Elsevier, vol. 54(C).
    77. Jammazi, Rania & Reboredo, Juan C., 2016. "Dependence and risk management in oil and stock markets. A wavelet-copula analysis," Energy, Elsevier, vol. 107(C), pages 866-888.
    78. Jiang, Kunliang & Ye, Wuyi, 2022. "Does the asymmetric dependence volatility affect risk spillovers between the crude oil market and BRICS stock markets?," Economic Modelling, Elsevier, vol. 117(C).
    79. Yin, Libo & Yang, Sen, 2023. "Oil price returns and firm's fixed investment: A production pattern," Energy Economics, Elsevier, vol. 125(C).
    80. Xie, Qiwei & Liu, Ranran & Qian, Tao & Li, Jingyu, 2021. "Linkages between the international crude oil market and the Chinese stock market: A BEKK-GARCH-AFD approach," Energy Economics, Elsevier, vol. 102(C).
    81. Yao Axel Ehouman, 2021. "Dependence structure between oil price volatility and sovereign credit risk of oil exporters : Evidence using a Copula Approach," Post-Print hal-03348410, HAL.
    82. Zhu, Huiming & Yu, Dongwei & Hau, Liya & Wu, Hao & Ye, Fangyu, 2022. "Time-frequency effect of crude oil and exchange rates on stock markets in BRICS countries: Evidence from wavelet quantile regression analysis," The North American Journal of Economics and Finance, Elsevier, vol. 61(C).
    83. Zhang, Yi, 2018. "Investigating dependencies among oil price and tanker market variables by copula-based multivariate models," Energy, Elsevier, vol. 161(C), pages 435-446.
    84. Zhu, Pengfei & Tang, Yong & Wei, Yu & Lu, Tuantuan, 2021. "Multidimensional risk spillovers among crude oil, the US and Chinese stock markets: Evidence during the COVID-19 epidemic," Energy, Elsevier, vol. 231(C).
    85. Ji, Qiang & Liu, Bing-Yue & Zhao, Wan-Li & Fan, Ying, 2020. "Modelling dynamic dependence and risk spillover between all oil price shocks and stock market returns in the BRICS," International Review of Financial Analysis, Elsevier, vol. 68(C).
    86. Yu, Lean & Zha, Rui & Stafylas, Dimitrios & He, Kaijian & Liu, Jia, 2020. "Dependences and volatility spillovers between the oil and stock markets: New evidence from the copula and VAR-BEKK-GARCH models," International Review of Financial Analysis, Elsevier, vol. 68(C).
    87. Julia Kielmann & Hans Manner & Aleksey Min, 2021. "Stock Market Returns and Oil Price Shocks: A CoVaR Analysis based on Dynamic Vine Copula Models," Graz Economics Papers 2021-01, University of Graz, Department of Economics.
    88. Mushtaq Hussain Khan & Junaid Ahmed & Mazhar Mughal, 2022. "Dependence between oil price changes and sectoral stock returns in Pakistan: Evidence from a quantile regression approach," Energy & Environment, , vol. 33(2), pages 315-331, March.
    89. Yao Axel Ehouman, 2020. "Dependence structure between oil price volatility and sovereign credit risk of oil exporters: Evidence using a Copula Approach," EconomiX Working Papers 2020-31, University of Paris Nanterre, EconomiX.
    90. Huang, Shupei & An, Haizhong & Gao, Xiangyun & Wen, Shaobo & Hao, Xiaoqing, 2017. "The multiscale impact of exchange rates on the oil-stock nexus: Evidence from China and Russia," Applied Energy, Elsevier, vol. 194(C), pages 667-678.
    91. Vêlayoudom Marimoutou & Manel Soury, 2015. "Energy Markets and CO2 Emissions: Analysis by Stochastic Copula Autoregressive Model," Working Papers halshs-01148746, HAL.
    92. Zhu, Huiming & Guo, Yawei & You, Wanhai & Xu, Yaqin, 2016. "The heterogeneity dependence between crude oil price changes and industry stock market returns in China: Evidence from a quantile regression approach," Energy Economics, Elsevier, vol. 55(C), pages 30-41.
    93. Chang, Bisharat Hussain & Sharif, Arshian & Aman, Ameenullah & Suki, Norazah Mohd & Salman, Asma & Khan, Syed Abdul Rehman, 2020. "The asymmetric effects of oil price on sectoral Islamic stocks: New evidence from quantile-on-quantile regression approach," Resources Policy, Elsevier, vol. 65(C).
    94. Zhu, Huiming & Huang, Hui & Peng, Cheng & Yang, Yan, 2016. "Extreme dependence between crude oil and stock markets in Asia-Pacific regions: Evidence from quantile regression," Economics Discussion Papers 2016-46, Kiel Institute for the World Economy (IfW Kiel).

  11. Xavier Villavicencio & Bruce McCarl & Ximing Wu & Wallace Huffman, 2013. "Climate change influences on agricultural research productivity," Climatic Change, Springer, vol. 119(3), pages 815-824, August.

    Cited by:

    1. Martin Henseler & Ingmar Schumacher, 2019. "The impact of weather on economic growth and its production factors," Climatic Change, Springer, vol. 154(3), pages 417-433, June.
    2. Hai Li & Hui Liu, 2023. "Climate Change, Farm Irrigation Facilities, and Agriculture Total Factor Productivity: Evidence from China," Sustainability, MDPI, vol. 15(4), pages 1-19, February.
    3. Zhangqi Zhong & Yiqin Hu & Lei Jiang, 2019. "Impact of Climate Change on Agricultural Total Factor Productivity Based on Spatial Panel Data Model: Evidence from China," Sustainability, MDPI, vol. 11(6), pages 1-17, March.
    4. Jesse Tack & Matthew Holt, 2016. "The influence of weather extremes on the spatial correlation of corn yields," Climatic Change, Springer, vol. 134(1), pages 299-309, January.
    5. Rahman, Sanzidur & Anik, Asif Reza, 2020. "Productivity and efficiency impact of climate change and agroecology on Bangladesh agriculture," Land Use Policy, Elsevier, vol. 94(C).
    6. Michee Arnold Lachaud & Boris E. Bravo-Ureta & Carlos E. Ludena, 2017. "Agricultural productivity in Latin America and the Caribbean in the presence of unobserved heterogeneity and climatic effects," Climatic Change, Springer, vol. 143(3), pages 445-460, August.
    7. Bruce A McCarl & Thomas W Hertel, 2018. "Climate Change as an Agricultural Economics Research Topic," Applied Economic Perspectives and Policy, Agricultural and Applied Economics Association, vol. 40(1), pages 60-78.
    8. Jason P. H. Jones & Zidong M. Wang & Bruce A. McCarl & Minglu Wang, 2017. "Policy Uncertainty and the US Ethanol Industry," Sustainability, MDPI, vol. 9(11), pages 1-14, November.

  12. Thanasis Stengos & Ximing Wu, 2010. "Information-Theoretic Distribution Test with Application to Normality," Econometric Reviews, Taylor & Francis Journals, vol. 29(3), pages 307-329.
    See citations under working paper version above.
  13. Wu, Ximing, 2010. "Exponential Series Estimator of multivariate densities," Journal of Econometrics, Elsevier, vol. 156(2), pages 354-366, June.

    Cited by:

    1. Yiguo Sun & Ximing Wu, 2018. "Leverage and Volatility Feedback Effects and Conditional Dependence Index: A Nonparametric Study," JRFM, MDPI, vol. 11(2), pages 1-20, June.
    2. Federico Zincenko, 2023. "Nonparametric estimation of conditional densities by generalized random forests," Papers 2309.13251, arXiv.org, revised Jan 2024.
    3. Federico Zincenko, 2016. "Nonparametric Estimation of First-Price Auctions with Risk-Averse Bidders," Working Paper 5855, Department of Economics, University of Pittsburgh.
    4. Tack, Jesse B. & Ubilava, David, 2013. "El Ni˜no Southern Oscillation Impacts on Crop Insurance," 2013 Annual Meeting, August 4-6, 2013, Washington, D.C. 151429, Agricultural and Applied Economics Association.
    5. Lee Tae-Hwy & Ullah Aman & Mao Millie Yi, 2021. "Maximum Entropy Analysis of Consumption-based Capital Asset Pricing Model and Volatility," Journal of Econometric Methods, De Gruyter, vol. 10(1), pages 1-19, January.
    6. Xu, Xingbai & Lee, Lung-fei, 2018. "Sieve maximum likelihood estimation of the spatial autoregressive Tobit model," Journal of Econometrics, Elsevier, vol. 203(1), pages 96-112.
    7. Jenny Farmer & Donald Jacobs, 2018. "High throughput nonparametric probability density estimation," PLOS ONE, Public Library of Science, vol. 13(5), pages 1-29, May.
    8. Yichen Gao & Yu Zhang & Ximing Wu, 2015. "Penalized exponential series estimation of copula densities with an application to intergenerational dependence of body mass index," Empirical Economics, Springer, vol. 48(1), pages 61-81, February.
    9. Perloff, Jeffrey M. & Schlenker, Wolfram & Sears, Molly & Wu, Ximing, 2020. "Crop Failures from Temperature and Precipitation Shocks: Implications for U.S. Crop Insurance," 2020 Annual Meeting, July 26-28, Kansas City, Missouri 304540, Agricultural and Applied Economics Association.
    10. Ximing Wu & Andreas Savvides & Thanasis Stengos, 2008. "The Global Joint Distribution of Income and Health," Working Papers 0807, University of Guelph, Department of Economics and Finance.
    11. Juan Lin & Ximing Wu, 2015. "Smooth Tests of Copula Specifications," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 33(1), pages 128-143, January.

  14. Depositario, Dinah Pura T. & Nayga Jr., Rodolfo M. & Wu, Ximing & Laude, Tiffany P., 2009. "Should students be used as subjects in experimental auctions?," Economics Letters, Elsevier, vol. 102(2), pages 122-124, February.

    Cited by:

    1. Remoundou, Kyriaki & Drichoutis, Andreas & Koundouri, Phoebe, 2010. "Warm glow in charitable auctions: Are the WEIRDos driving the results?," MPRA Paper 25553, University Library of Munich, Germany.
    2. Hellyer, Nicole Elizabeth & Fraser, Iain & Haddock-Fraser, Janet, 2010. "Food Choice, Nutritional Information And Functional Ingredients: An Experimental Auction Employing Bread," 115th Joint EAAE/AAEA Seminar, September 15-17, 2010, Freising-Weihenstephan, Germany 116424, European Association of Agricultural Economists.
    3. Azzurra Morreale & Luigi Mittone & Thi-Thanh-Tam Vu & Mikael Collan, 2020. "To Wait or Not to Wait? Use of the Flexibility to Postpone Investment Decisions in Theory and in Practice," Sustainability, MDPI, vol. 12(8), pages 1-19, April.
    4. Fochmann, Martin & Wolf, Nadja, 2019. "Framing and salience effects in tax evasion decisions – An experiment on underreporting and overdeducting," Journal of Economic Psychology, Elsevier, vol. 72(C), pages 260-277.
    5. Jindrich Matousek, 2018. "Individual Discount Rates: A Meta-Analysis of the Experimental Evidence," Working Papers IES 2018/40, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, revised Dec 2018.
    6. Julieta Alejandra Rodriguez & Elsa Mirta Margarita Rodr?guez & Beatriz Lup?n, 2020. "Consumers? assessment of labelled and packaged fresh potato: Evidence from Experimental Auctions," Economia agro-alimentare, FrancoAngeli Editore, vol. 22(3), pages 1-19.
    7. Ballesteros, Josefina F. & Schouteten, Joachim J. & Otilla, Angelyn & Ramirez, Ramona Isabel & Gellynck, Xavier & Casaul, Julieta & De Steur, Hans, 2023. "Does award and origin labeling influence consumers’ willingness-to-pay beyond sensory cues? An experimental auction on improved Philippine tablea (cocoa liquor)," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 102(C).
    8. Chenyi He & Ruifeng Liu & Zhifeng Gao & Xin Zhao & Charles A. Sims & Rodolfo M. Nayga, 2021. "Does local label bias consumer taste buds and preference? Evidence of a strawberry sensory experiment," Agribusiness, John Wiley & Sons, Ltd., vol. 37(3), pages 550-568, July.
    9. Bassi, Ivana & Gori, Enrico & Iseppi, Luca, 2019. "Assessing environmental awareness towards protection of the Alps: a case study," Land Use Policy, Elsevier, vol. 87(C).
    10. Leopold-Wildburger, Ulrike & Strohhecker, Jürgen, 2017. "Strategy map concepts in a balanced scorecard cockpit improve performanceAuthor-Name: Hu, Bo," European Journal of Operational Research, Elsevier, vol. 258(2), pages 664-676.
    11. Costanigro, Marco & Kroll, Stephan & Thilmany, Dawn D. & Bunning, Marisa, 2010. "Do Taste Buds Trump Labels and Information? A Sensory Test and Economic Experiment on Organic and Local Apples," 2010 Annual Meeting, July 25-27, 2010, Denver, Colorado 61668, Agricultural and Applied Economics Association.
    12. Dinah Pura T. Depositario & Rodolfo M. Nayga Jr & Yu Yvette Zhang & Robert Dominick E. Mariano, 2014. "Revisiting Cash Endowment and House Money Effects in an Experimental Auction of a Novel Agri-food Product in the Philippines," Asian Economic Journal, East Asian Economic Association, vol. 28(2), pages 201-215, June.
    13. Daniel Alfredo Revollo-Fernandez & Alonso Aguilar-Ibarra, 2014. "Measures of risk associated to regulations compliance: a laboratory experiment on the use of common-pool resources," Journal of Risk Research, Taylor & Francis Journals, vol. 17(7), pages 903-921, August.
    14. Martin Fochmann & Frank Hechtner & Tobias Kölle & Michael Overesch, 2021. "Combating overreporting of deductions in tax returns: prefilling and restricting the deductibility of expenditures," Journal of Business Economics, Springer, vol. 91(7), pages 935-964, September.
    15. Bednarik, Peter & Linnerooth-Bayer, Joanne & Magnuszewski, Piotr & Dieckmann, Ulf, 2019. "A Game of Common-pool Resource Management: Effects of Communication, Risky Environment and Worldviews," Ecological Economics, Elsevier, vol. 156(C), pages 287-292.
    16. Dennis Barber, 2015. "An experimental analysis of risk and entrepreneurial attitudes of university students in the USA and Brazil," Journal of International Entrepreneurship, Springer, vol. 13(4), pages 370-389, December.
    17. Bchir, Mohamed Ali, 2014. "From the lab to the field: An experimental investigation of the provision of a club good," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 51(C), pages 57-67.
    18. Teresa, Briz & Drichoutis, Andreas & Nayga, Rodolfo & House, Lisa, 2011. "Examining Projection Bias in Experimental Auctions: The Role of Hunger and Immediate Gratification," MPRA Paper 44764, University Library of Munich, Germany, revised 05 Mar 0013.
    19. 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.
    20. Dinah Pura T. Depositario & Rodolfo M. Nayga, Jr. & Ximing Wu & Tiffany P. Laude, 2009. "Effects of Information on Consumers' Willingness to Pay for Golden Rice," Asian Economic Journal, East Asian Economic Association, vol. 23(4), pages 457-476, December.
    21. Xiaohua, Yu & Binjian, Yan & Zhifeng, Gao, 2014. "Can Willingness-To-Pay Values be Manipulated? Evidences from an Experiment on Organic Food in China," GlobalFood Discussion Papers 169402, Georg-August-Universitaet Goettingen, GlobalFood, Department of Agricultural Economics and Rural Development.
    22. Belot, Michele & Duch, Raymond & Miller, Luis, 2015. "A comprehensive comparison of students and non-students in classic experimental games," Journal of Economic Behavior & Organization, Elsevier, vol. 113(C), pages 26-33.
    23. Andreas C. Drichoutis & Panagiotis Lazaridis & Rodolfo M. Nayga, 2009. "Would consumers value food-away-from-home products with nutritional labels?," Agribusiness, John Wiley & Sons, Ltd., vol. 25(4), pages 550-575.
    24. Strohhecker, Jürgen & Größler, Andreas, 2013. "Do personal traits influence inventory management performance?—The case of intelligence, personality, interest and knowledge," International Journal of Production Economics, Elsevier, vol. 142(1), pages 37-50.
    25. Luca Iseppi & Marcella Rizzo & Enrico Gori & Federico Nassivera & Ivana Bassi & Alessandro Scuderi, 2021. "Rasch Model for Assessing Propensity to Entomophagy," Sustainability, MDPI, vol. 13(8), pages 1-21, April.
    26. Fochmann, Martin & Müller, Nadja & Overesch, Michael, 2018. "Less cheating? The effects of prefilled forms on compliance behavior," arqus Discussion Papers in Quantitative Tax Research 227, arqus - Arbeitskreis Quantitative Steuerlehre.
    27. Di Fang & Rodolfo M. Nayga & Grant H. West & Claudia Bazzani & Wei Yang & Benjamin C. Lok & Charles E. Levy & Heather A. Snell, 2021. "On the Use of Virtual Reality in Mitigating Hypothetical Bias in Choice Experiments," American Journal of Agricultural Economics, John Wiley & Sons, vol. 103(1), pages 142-161, January.

  15. Dinah Pura T. Depositario & Rodolfo M. Nayga, Jr. & Ximing Wu & Tiffany P. Laude, 2009. "Effects of Information on Consumers' Willingness to Pay for Golden Rice," Asian Economic Journal, East Asian Economic Association, vol. 23(4), pages 457-476, December.

    Cited by:

    1. Ali Aljamal & Mark Speece & Mohsen Bagnied, 2020. "Sustainable Policy for Water Pricing in Kuwait," Sustainability, MDPI, vol. 12(8), pages 1-18, April.
    2. My, Nguyen H.D. & Demont, Matty & Van Loo, Ellen J. & de Guia, Annalyn & Rutsaert, Pieter & Tuan, Tran Huu & Verbeke, Wim, 2018. "What is the value of sustainably-produced rice? Consumer evidence from experimental auctions in Vietnam," Food Policy, Elsevier, vol. 79(C), pages 283-296.

  16. Corrigan, Jay R. & Depositario, Dinah Pura T. & Nayga, Rodolfo M. Jr. & Wu, Ximing, 2008. "AJAE Appendix for “Comparing Open-Ended Choice Experiments and Experimental Auctions: An Application to Golden Rice”," American Journal of Agricultural Economics APPENDICES, Agricultural and Applied Economics Association, vol. 91(3), pages 1-23, December.

    Cited by:

    1. Roselyne Alphonce & Frode Alfnes, 2017. "Eliciting Consumer WTP for Food Characteristics in a Developing Context: Application of Four Valuation Methods in an African Market," Journal of Agricultural Economics, Wiley Blackwell, vol. 68(1), pages 123-142, February.
    2. Hans D. Steur & Jeroen Buysse & Shuyi Feng & Xavier Gellynck, 2013. "Role of Information on Consumers’ Willingness-to-pay for Genetically-modified Rice with Health Benefits: An Application to China," Asian Economic Journal, East Asian Economic Association, vol. 27(4), pages 391-408, December.
    3. Saito, Yoko & Saito, Hisamitsu, 2015. "Demand for a Transgenic Food with a Medical Benefit," MPRA Paper 67945, University Library of Munich, Germany.
    4. Carola Braun & Katrin Rehdanz & Ulrich Schmidt, 2016. "Validity of Willingness to Pay Measures under Preference Uncertainty," PLOS ONE, Public Library of Science, vol. 11(4), pages 1-17, April.
    5. Gregory Colson & Jay R. Corrigan & Carola Grebitus & Maria L. Loureiro & Matthew C. Rousu, 2016. "Which Deceptive Practices, If Any, Should Be Allowed in Experimental Economics Research? Results from Surveys of Applied Experimental Economists and Students," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 98(2), pages 610-621.
    6. Alphonce, Roselyne & Alfnes, Frode, 2015. "Eliciting Consumer WTP for Food Characteristics in a Developing Context: Comparison of four methods in a field experiment," Working Paper Series 01-2015, Norwegian University of Life Sciences, School of Economics and Business.
    7. Levan Elbakidze & Rodolfo M. Nayga Jr. & Hao Li & Chris McIntosh, 2014. "Value elicitation for multiple quantities of a quasi-public good using open ended choice experiments and uniform price auctions," Agricultural Economics, International Association of Agricultural Economists, vol. 45(2), pages 253-265, March.
    8. 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.
    9. Lee, Ji Yong & Fox, John A., 2016. "The effects of allowing substitutes on bidding behavior in a private value experimental auction," 2016 Annual Meeting, July 31-August 2, Boston, Massachusetts 235900, Agricultural and Applied Economics Association.
    10. Ji Yong Lee & Doo Bong Han & Rodolfo M. Nayga Jr & Song Soo Lim, 2011. "Valuing traceability of imported beef in Korea: an experimental auction approach," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 55(3), pages 360-373, July.
    11. Domonko, Eammanuel & McFadden, Brandon, 2016. "Tanzanian Willingness-to-Pay for Rice that Decreases the Risk of Severe Visual Impairment," 2016 Annual Meeting, February 6-9, 2016, San Antonio, Texas 230049, Southern Agricultural Economics Association.
    12. Kassas, Bachir & Palma, Marco A. & Zhang, Yvette, 2016. "The role of incentives on preference revelations in auctions versus rankings," Journal of choice modelling, Elsevier, vol. 20(C), pages 73-85.
    13. Adewale Oparinde & Abhijit Banerji & Ekin Birol & Paul Ilona, 2016. "Information and consumer willingness to pay for biofortified yellow cassava: evidence from experimental auctions in Nigeria," Agricultural Economics, International Association of Agricultural Economists, vol. 47(2), pages 215-233, March.

  17. Bruce A. McCarl & Xavier Villavicencio & Ximing Wu, 2008. "Climate Change and Future Analysis: Is Stationarity Dying?," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 90(5), pages 1241-1247.

    Cited by:

    1. Anubhab Pattanayak & K. S. Kavi Kumar, 2013. "Weather Sensitivity of Rice Yield: Evidence from India," Working Papers 2013-081, Madras School of Economics,Chennai,India.
    2. Wang, Teng & Yi, Fujin & Liu, Huilin & Wu, Ximing & Zhong, Funing, 2021. "Can Agricultural Mechanization Have a Mitigation Effect on China's Yield Variability?," 2021 Conference, August 17-31, 2021, Virtual 315098, International Association of Agricultural Economists.
    3. Sabasi, Darlington & Shumway, C. Richard, 2014. "Technical Change, Efficiency, and Total Factor Productivity in U.S. Agriculture," 2014 Annual Meeting, July 27-29, 2014, Minneapolis, Minnesota 170225, Agricultural and Applied Economics Association.
    4. Cai, Yongxia & McCarl, Bruce A., 2009. "Climate Change and Texas Water Planning: an Economic Analysis of Inter-basin Water Transfers," 2009 Annual Meeting, July 26-28, 2009, Milwaukee, Wisconsin 49933, Agricultural and Applied Economics Association.
    5. Brett A Bryan & Jianjun Huai & Jeff Connor & Lei Gao & Darran King & John Kandulu & Gang Zhao, 2015. "What Actually Confers Adaptive Capacity? Insights from Agro-Climatic Vulnerability of Australian Wheat," PLOS ONE, Public Library of Science, vol. 10(2), pages 1-20, February.
    6. Saumya Verma & Shreekant Gupta & Partha Sen, 2020. "Does Climate Change Make Foodgrain Yields More Unpredictable? Evidence from India," CESifo Working Paper Series 8161, CESifo.
    7. Boussios, David & Barkley, Andrew, 2014. "Producer Expectations and the Extensive Margin in Grain Supply Response," Agricultural and Resource Economics Review, Cambridge University Press, vol. 43(3), pages 335-356, December.
    8. Chen, Shuai & Chen, Xiaoguang & Xu, Jintao, 2013. "Impacts of Climate Change on Corn and Soybean Yields in China," 2013 Annual Meeting, August 4-6, 2013, Washington, D.C. 149739, Agricultural and Applied Economics Association.
    9. Parcell, Joseph L. & Cain, Jewelwayne S., 2013. "Drought Tolerance of Soybean Crops in Missouri," 2013 Annual Meeting, February 2-5, 2013, Orlando, Florida 142507, Southern Agricultural Economics Association.
    10. Hongliang Zhang & Jianhong E. Mu & Bruce A. McCarl, 2018. "Adaptation to Climate Change via Adjustment in Land Leasing: Evidence from Dryland Wheat Farms in the U.S. Pacific Northwest," IRENE Working Papers 18-02, IRENE Institute of Economic Research.
    11. Ali Sardar Shahraki & Tommaso Caloiero & Ommolbanin Bazrafshan, 2023. "Influence of Climatic Factors on Yields of Pistachio, Mango, and Bananas in Iran," Sustainability, MDPI, vol. 15(11), pages 1-14, June.
    12. Chiwaula, Levison & Waibel, Hermann, 2011. "Does seasonal vulnerability to poverty matter? A case study from the Hadejia-Nguru Wetlands in Nigeria," Proceedings of the German Development Economics Conference, Berlin 2011 19, Verein für Socialpolitik, Research Committee Development Economics.
    13. McCarl, Bruce A. & Attavanich, Witsanu & Musumba, Mark & Mu, Jianhong E. & Aisabokhae, Ruth, 2011. "Land Use and Climate Change," MPRA Paper 83993, University Library of Munich, Germany, revised 2014.
    14. Schwerhoff, Gregor & Kalkuhl, Matthias & Waha, Katharina, 2016. "Agricultural Risk Management and Land Tenure," VfS Annual Conference 2016 (Augsburg): Demographic Change 145792, Verein für Socialpolitik / German Economic Association.
    15. Cai, Ruohong & Yu, Danlin & Oppenheimer, Michael, 2014. "Estimating the Spatially Varying Responses of Corn Yields toWeather Variations using GeographicallyWeighted Panel Regression," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 39(2), pages 1-23.
    16. Sheng, Di & Lambert, Dayton M. & Hellwinckel, Chad, 2016. "A Copula-based Approach to Simulate Climate Impacts on Yield: Some Preliminary Findings," 2016 Annual Meeting, February 6-9, 2016, San Antonio, Texas 230006, Southern Agricultural Economics Association.
    17. 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.
    18. Chen, Shuai & Chen, Xiaoguang & Xu, Jintao, 2016. "Impacts of climate change on agriculture: Evidence from China," Journal of Environmental Economics and Management, Elsevier, vol. 76(C), pages 105-124.
    19. Erik Nelson & Virginia Matzek, 2016. "Carbon Credits Compete Poorly With Agricultural Commodities In An Optimized Model Of Land Use In Northern California," Climate Change Economics (CCE), World Scientific Publishing Co. Pte. Ltd., vol. 7(04), pages 1-24, November.
    20. Shen, Zhiwei, 2016. "Adaptive local parametric estimation of crop yields: implication for crop insurance ratemaking," 156th Seminar, October 4, 2016, Wageningen, The Netherlands 249984, European Association of Agricultural Economists.
    21. Yu, Tian, 2011. "Three essays on weather and crop yield," ISU General Staff Papers 201101010800002976, Iowa State University, Department of Economics.
    22. Robert Becker Pickson & Ge He & Elliot Boateng, 2022. "Impacts of climate change on rice production: evidence from 30 Chinese provinces," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(3), pages 3907-3925, March.
    23. Gupta, Shreekant & Sen, Partha & Verma, Saumya, 2016. "Impact of Climate Change on Foodgrain Yields in India," CEI Working Paper Series 2015-9, Center for Economic Institutions, Institute of Economic Research, Hitotsubashi University.
    24. Saravanakumar, V. & Balasubramanian, 2018. "Assessment of climate change impacts and adaptation strategies on Sorghum production in Tamil Nadu, India," 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia 276012, International Association of Agricultural Economists.
    25. Taehoo Kim & Man‐Keun Kim, 2018. "Ex‐post moral hazard in prevented planting," Agricultural Economics, International Association of Agricultural Economists, vol. 49(6), pages 671-680, November.
    26. Samira Shayanmehr & Shida Rastegari Henneberry & Mahmood Sabouhi Sabouni & Naser Shahnoushi Foroushani, 2020. "Climate Change and Sustainability of Crop Yield in Dry Regions Food Insecurity," Sustainability, MDPI, vol. 12(23), pages 1-24, November.
    27. Md. Ruhul Amin & Junbiao Zhang & Mingmei Yang, 2015. "Effects of Climate Change on the Yield and Cropping Area of Major Food Crops: A Case of Bangladesh," Sustainability, MDPI, vol. 7(1), pages 1-18, January.
    28. Barnwal, Prabhat & Kotani, Koji, 2013. "Climatic impacts across agricultural crop yield distributions: An application of quantile regression on rice crops in Andhra Pradesh, India," Ecological Economics, Elsevier, vol. 87(C), pages 95-109.
    29. Li, Shuang & Ker, Alan P., 2013. "An Assessment of the Canadian Federal-Provincial Crop Production Insurance Program under Future Climate Change Scenarios in Ontario," 2013 Annual Meeting, August 4-6, 2013, Washington, D.C. 151213, Agricultural and Applied Economics Association.
    30. Meng, Ting & Carew, Richard C. & Florkowski, Wojciech J. & Klepacka, Anna M., 2016. "Modeling Temperature and Precipitation Influences on Yield Distributions of Canola and Spring Wheat in Saskatchewan," 2016 Annual Meeting, July 31-August 2, Boston, Massachusetts 235251, Agricultural and Applied Economics Association.
    31. Chen, Shuai & Chen, Xiaoguang & Xu, Jintao, 2015. "Assessing the impacts of temperature variations on rice yield in China," 2015 Conference, August 9-14, 2015, Milan, Italy 211462, International Association of Agricultural Economists.
    32. Du, Xiaodong & Hennessy, David A. & Yu, Cindy L. & Miao, Ruiqing, 2012. "Geography of Crop Yield Skewness," 2012 Annual Meeting, August 12-14, 2012, Seattle, Washington 124748, Agricultural and Applied Economics Association.
    33. Hasan, M. Mehedi & Alauddin, Mohammad & Rashid Sarker, Md. Abdur & Jakaria, Mohammad & Alamgir, Mahiuddin, 2019. "Climate sensitivity of wheat yield in Bangladesh: Implications for the United Nations sustainable development goals 2 and 6," Land Use Policy, Elsevier, vol. 87(C).
    34. Hardaker, J. Brian & Lien, Gudbrand, 2010. "Probabilities for decision analysis in agriculture and rural resource economics: The need for a paradigm change," Agricultural Systems, Elsevier, vol. 103(6), pages 345-350, July.
    35. Li, Zheng & Rejesus, Roderick M. & Zheng, Xiaoyong, 2018. "Nonparametric Estimation and Inference of Production Risk with Categorical Variables," 2018 Annual Meeting, August 5-7, Washington, D.C. 274400, Agricultural and Applied Economics Association.
    36. Benjamin, Catherine & Gallic, Ewen, 2018. "Does climate change influence demand ? Indian household behavior with imperfect labor markets," 2018 Annual Meeting, August 5-7, Washington, D.C. 274185, Agricultural and Applied Economics Association.
    37. Lateef Olawale Akanni, 2020. "Climatic Variations and Spatial Price Differentials of Perishable Foods in Nigeria," Econometric Research in Finance, SGH Warsaw School of Economics, Collegium of Economic Analysis, vol. 5(1), pages 1-15, June.
    38. Attavanich, Witsanu, 2017. "Effect of climate change on Thailand’s agriculture: New results," MPRA Paper 118290, University Library of Munich, Germany.
    39. Ahmad, Munir & Nawaz, Muhammad & Iqbal, Muhammad & Javed, Sajid, 2014. "Analysing the Impact of Climate Change on Rice Productivity in Pakistan," MPRA Paper 72861, University Library of Munich, Germany.
    40. M. Mehedi Hasan & Mohammad Alauddin & Md. Abdur Rashid Sarker & Mohammad Jakaria & Mahiuddin Alamgir, 2018. "Climate sensitivity of wheat yield in Bangladesh: Implications for Sustainable Development Goals 2 (SDG2) and 6 (SDG6)," Discussion Papers Series 599, School of Economics, University of Queensland, Australia.
    41. Xavier Villavicencio & Bruce McCarl & Ximing Wu & Wallace Huffman, 2013. "Climate change influences on agricultural research productivity," Climatic Change, Springer, vol. 119(3), pages 815-824, August.
    42. Christian Hott & Judith Regner, 2023. "Weather extremes, agriculture and the value of weather index insurance," The Geneva Risk and Insurance Review, Palgrave Macmillan;International Association for the Study of Insurance Economics (The Geneva Association), vol. 48(2), pages 230-259, September.
    43. Cho, Sung Ju & McCarl, Bruce A. & Wu, Ximing, 2015. "Climate Change Adaptation via U.S. Land Use Transitions: A Spatial Econometric Analysis," 2015 Annual Meeting, January 31-February 3, 2015, Atlanta, Georgia 196684, Southern Agricultural Economics Association.
    44. Boussios, David & Barkley, Andrew P., 2012. "Kansas Grain Supply Response to Economic and Biophysical Factors, 1977-2007," 2012 Annual Meeting, August 12-14, 2012, Seattle, Washington 124385, Agricultural and Applied Economics Association.
    45. Tsegaye Ginbo, 2022. "Heterogeneous impacts of climate change on crop yields across altitudes in Ethiopia," Climatic Change, Springer, vol. 170(1), pages 1-21, January.
    46. Santosh Poudel & Koji Kotani, 2013. "Climatic impacts on crop yield and its variability in Nepal: do they vary across seasons and altitudes?," Climatic Change, Springer, vol. 116(2), pages 327-355, January.
    47. Santeramo, Fabio Gaetano & Miljkovic, Dragan & Lamonaca, Emilia, 2021. "Agri-food trade and climate change," Economia agro-alimentare / Food Economy, Italian Society of Agri-food Economics/Società Italiana di Economia Agro-Alimentare (SIEA), vol. 23(1), May.
    48. M. MEHEDI HASAN & Md. ABDUR RASHID SARKER & JEFF GOW, 2016. "Assessment Of Climate Change Impacts On Aman And Boro Rice Yields In Bangladesh," Climate Change Economics (CCE), World Scientific Publishing Co. Pte. Ltd., vol. 7(03), pages 1-21, August.
    49. Nasir Munir & Adiqa Kiani & Asia Baig, 2016. "Climate Change and Food Security in Pakistan: A Time Series Analysis," Global Economics Review, Humanity Only, vol. 1(1), pages 47-55, December.
    50. Kulkarni, Kedar, 2021. "Quantifying Vulnerability of Crop Yields in India to Weather Extremes," 2021 Annual Meeting, August 1-3, Austin, Texas 313879, Agricultural and Applied Economics Association.
    51. Wei Lu & Wiktor Adamowicz & Scott R. Jeffrey & Greg G. Goss & Monireh Faramarzi, 2018. "Crop Yield Response to Climate Variables on Dryland versus Irrigated Lands," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 66(2), pages 283-303, June.
    52. Kan, Iddo & Reznik, Ami & Kaminski, Jonathan & Kimhi, Ayal, 2023. "The impacts of climate change on cropland allocation, crop production, output prices and social welfare in Israel: A structural econometric framework," Food Policy, Elsevier, vol. 115(C).
    53. Revoredo-Giha, Cesar & Gaupp, Franziska, 2014. "Weather and their effect on crop yields in Scotland 1935-2012," 2014 International Congress, August 26-29, 2014, Ljubljana, Slovenia 183034, European Association of Agricultural Economists.
    54. Ines Kapphan & Pierluigi Calanca & Annelie Holzkaemper, 2012. "Climate Change, Weather Insurance Design and Hedging Effectiveness," The Geneva Papers on Risk and Insurance - Issues and Practice, Palgrave Macmillan;The Geneva Association, vol. 37(2), pages 286-317, April.
    55. Witsanu Attavanich & Bruce McCarl, 2014. "How is CO 2 affecting yields and technological progress? A statistical analysis," Climatic Change, Springer, vol. 124(4), pages 747-762, June.
    56. Zheng Li & Roderick M. Rejesus & Xiaoyong Zheng, 2021. "Nonparametric Estimation and Inference of Production Risk," American Journal of Agricultural Economics, John Wiley & Sons, vol. 103(5), pages 1857-1877, October.
    57. Mekbib G. Haile & Tesfamicheal Wossen & Kindie Tesfaye & Joachim von Braun, 2017. "Impact of Climate Change, Weather Extremes, and Price Risk on Global Food Supply," Economics of Disasters and Climate Change, Springer, vol. 1(1), pages 55-75, June.
    58. Benjapon Prommawin & Nattanun Svavasu & Spol Tanpraphan & Voravee Saengavut & Theepakorn Jithitikulchai & Witsanu Attavanich & Bruce A. McCarl, 2022. "Impacts of Climate Change and Agricultural Diversification on Agricultural Production Value of Thai Farm Households," PIER Discussion Papers 184, Puey Ungphakorn Institute for Economic Research.
    59. Catherine Benjamin & Ewen Gallic, 2017. "Effects of Climate Change on Agriculture: a European case study," Economics Working Paper Archive (University of Rennes 1 & University of Caen) 2017-16, Center for Research in Economics and Management (CREM), University of Rennes 1, University of Caen and CNRS.
    60. Bruce A McCarl & Thomas W Hertel, 2018. "Climate Change as an Agricultural Economics Research Topic," Applied Economic Perspectives and Policy, Agricultural and Applied Economics Association, vol. 40(1), pages 60-78.
    61. Jolejole-Foreman, Maria Christina & Baylis, Katherine R. & Lipper, Leslie, 2012. "Land Degradation’s Implications on Agricultural Value of Production in Ethiopia: A look inside the bowl," 2012 Conference, August 18-24, 2012, Foz do Iguacu, Brazil 126251, International Association of Agricultural Economists.
    62. Tack, Jesse B. & Harri, Ardian & Coble, Keith H., 2012. "More than Mean Effects: Modeling the Effect of Climate on the Higher Order Moments of Crop Yields," 2012 Annual Meeting, August 12-14, 2012, Seattle, Washington 123330, Agricultural and Applied Economics Association.
    63. Attavanich, Witsanu, 2013. "The Effect of Climate Change on Thailand’s Agriculture," MPRA Paper 84005, University Library of Munich, Germany, revised Feb 2014.
    64. Cho, Sung Ju & McCarl, Bruce A. & Wu, Ximing, 2014. "Climate Change Adaptation and Shifts in Land Use for Major Crops in the U.S," 2014 Annual Meeting, July 27-29, 2014, Minneapolis, Minnesota 170015, Agricultural and Applied Economics Association.
    65. Raju Guntukula & Phanindra Goyari, 2020. "Climate Change Effects on the Crop Yield and Its Variability in Telangana, India," Studies in Microeconomics, , vol. 8(1), pages 119-148, June.
    66. Kahsay, Goytom Abraha & Hansen, Lars Gårn, 2016. "The effect of climate change and adaptation policy on agricultural production in Eastern Africa," Ecological Economics, Elsevier, vol. 121(C), pages 54-64.
    67. Chen, Chi-Chung & Hsu, Sheng-Ming & Chang, Ching-Cheng & Hsu, Shih-Hsun, 2012. "Estimating the Economic Impacts of Climate Change on Global Food Market," Conference papers 332262, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.
    68. Kelbore, Zerihun Getachew, 2012. "An Analysis of the Impacts of Climate Change on Crop Yield and Yield Variability in Ethiopia," MPRA Paper 49466, University Library of Munich, Germany.
    69. Witt, Rudolf & Waibel, Hermann, 2011. "Constraints to diversification of poor fishery-dependent households in Cameroon," African Journal of Agricultural and Resource Economics, African Association of Agricultural Economists, vol. 6(2), pages 1-21, September.
    70. Raju Mandal & Hiranya Nath, 2017. "Climate Change and indian Agriculture: Impacts on Crop Yield," Working Papers 1705, Sam Houston State University, Department of Economics and International Business.
    71. Boris O. K. Lokonon & Aklesso Y. G. Egbendewe & Naga Coulibaly & Calvin Atewamba, 2019. "The Potential Impact Of Climate Change On Agriculture In West Africa: A Bio-Economic Modeling Approach," Climate Change Economics (CCE), World Scientific Publishing Co. Pte. Ltd., vol. 10(04), pages 1-30, November.
    72. Amwata, D.A. & Nyariki, D.M. & Musimba, N.R.K, 2016. "Climate factors as determinants of food security in semi-arid Kenya: a longitudinal analysis," 2016 Fifth International Conference, September 23-26, 2016, Addis Ababa, Ethiopia 249315, African Association of Agricultural Economists (AAAE).
    73. Subhadra Banda, 2013. "The Case of Slum Rehabilitation in Delhi," Working Papers id:5522, eSocialSciences.
    74. Witt, Rudolf & Waibel, Hermann, 2009. "Lower Partial Moments as a measure of vulnerability to poverty in Cameroon," Hannover Economic Papers (HEP) dp-434, Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät.
    75. Shahbaz Bhatti & Sarfraz Hassan & Khalid Mushtaq & Kamran Javed, 2020. "Investigation The Impact Of Climate Change On Productivity Of Cotton: Empirical Evidence From Cotton Zone," Big Data In Agriculture (BDA), Zibeline International Publishing, vol. 2(1), pages 1-4, February.
    76. Attavanich, Witsanu & McCarl, Bruce A. & Fuller, Stephen W. & Vedenov, Dmitry V. & Ahmedov, Zafarbek, 2011. "The Effect of Climate Change on Transportation Flows and Inland Waterways Due to Climate-Induced Shifts in Crop Production Patterns," 2011 Annual Meeting, July 24-26, 2011, Pittsburgh, Pennsylvania 109241, Agricultural and Applied Economics Association.
    77. Sarker, Md. Abdur Rashid & Alam, Khorshed & Gow, Jeff, 2012. "Exploring the relationship between climate change and rice yield in Bangladesh: An analysis of time series data," Agricultural Systems, Elsevier, vol. 112(C), pages 11-16.
    78. V. Saravanakumar, "undated". "Impact of Climate Change on Yield of Major Food Crops in Tamil Nadu, India," Working papers 91, The South Asian Network for Development and Environmental Economics.
    79. Dong-dong Zhang & Deng-hua Yan & Yi-Cheng Wang & Fan Lu & Shao-hua Liu, 2015. "GAMLSS-based nonstationary modeling of extreme precipitation in Beijing–Tianjin–Hebei region of China," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 77(2), pages 1037-1053, June.
    80. George Backus & Thomas Lowry & Drake Warren, 2013. "The near-term risk of climate uncertainty among the U.S. states," Climatic Change, Springer, vol. 116(3), pages 495-522, February.
    81. Haile, Mekbib G. & Wossen, Tesfamichael, 2016. "Impacts of climate and price changes on global food production," 2016 Fifth International Conference, September 23-26, 2016, Addis Ababa, Ethiopia 246374, African Association of Agricultural Economists (AAAE).
    82. Chen, Xiaoguang & Chen, Shuai, 2018. "China feels the heat: negative impacts of high temperatures on China’s rice sector," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 62(4), October.
    83. Kalkuhl, Matthias & Schwerhoff, Gregor & Waha, Katharina, 2020. "Land tenure, climate and risk management," Ecological Economics, Elsevier, vol. 171(C).
    84. Ding, Jinxiu & McCarl, Bruce A., 2014. "Inter-Decadal Climate Variability in the Edwards Aquifer: Regional Impacts of DCV on Crop Yields and Water Use," 2014 Annual Meeting, July 27-29, 2014, Minneapolis, Minnesota 170216, Agricultural and Applied Economics Association.
    85. Mubenga-Tshitaka, Jean-Luc & Gelo, Dambala & Dikgang, Johane & Mwamba, Muteba, 2021. "Panel threshold effect of climate variability on agricultural output in Eastern African countries," MPRA Paper 108721, University Library of Munich, Germany.

  18. Cai, Yongxia & Alviola, Pedro A. IV & Nayga, Rodolfo M. Jr. & Wu, Ximing, 2008. "The Effect of Food-Away-from-Home and Food-at-Home Expenditures on Obesity Rates: A State-Level Analysis," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 40(2), pages 1-15, August.

    Cited by:

    1. Arjun Gupta & Soudeh Mirghasemi & Mohammad Arshad Rahman, 2021. "Heterogeneity in food expenditure among US families: evidence from longitudinal quantile regression," Indian Economic Review, Springer, vol. 56(1), pages 25-48, June.
    2. Ellison, Brenna & Lusk, Jayson L. & Davis, David, 2014. "The Effect of Calorie Labels on Caloric Intakeand Restaurant Revenue: Evidence from Two Full-Service Restaurants," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 46(2), pages 1-19, May.
    3. Burney, Shaheer, 2018. "In-kind benefits and household behavior: The impact of SNAP on food-away-from-home consumption," Food Policy, Elsevier, vol. 75(C), pages 134-146.
    4. Chen, Danhong & Jaenicke, Edward C., 2017. "Composition of Food-at-Home Expenditures and Childhood Obesity," 2017 Annual Meeting, July 30-August 1, Chicago, Illinois 258343, Agricultural and Applied Economics Association.
    5. Ratih Damayanti & Chaikal Nuryakin & Pyan Amin Muchtar, 2023. "Household Demand for Food Prepared at Home and Food Away from Home in Indonesia," Economics and Finance in Indonesia, Faculty of Economics and Business, University of Indonesia, vol. 69, pages 35-46, Juni.

  19. Wu, Ximing & Perloff, Jeffrey M., 2007. "GMM estimation of a maximum entropy distribution with interval data," Journal of Econometrics, Elsevier, vol. 138(2), pages 532-546, June.

    Cited by:

    1. Thanasis Stengos & Ximing Wu, 2005. "Partially Adaptive Estimation via Maximum Entropy Densities," University of Cyprus Working Papers in Economics 6-2005, University of Cyprus Department of Economics.
    2. Sung Y. Park & Anil K. Bera, 2018. "Information theoretic approaches to income density estimation with an application to the U.S. income data," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 16(4), pages 461-486, December.
    3. Thanasis Stengos & Yiguo Sun, 2005. "The Absolute Health Income Hypothesis Revisited : A Semiparametric Quantile Regression Approach," University of Cyprus Working Papers in Economics 7-2005, University of Cyprus Department of Economics.
    4. Shatakshee Dhongde & Camelia Minoiu, 2010. "Global poverty estimates: Present and future," Working Papers 181, ECINEQ, Society for the Study of Economic Inequality.
    5. Gholamreza Hajargasht & William E. Griffiths & Joseph Brice & D.S. Prasada Rao & Duangkamon Chotikapanich, 2012. "Inference for Income Distributions Using Grouped Data," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 30(4), pages 563-575, May.
    6. Camelia Minoiu & Sanjay Reddy, 2014. "Kernel density estimation on grouped data: the case of poverty assessment," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 12(2), pages 163-189, June.
    7. Gholamreza Hajargsht & William E. Griffiths & Joseph Brice & D.S. Prasada Rao & Duangkamon Chotikapanich, 2011. "GMM Estimation of Income Distributions from Grouped Data," Department of Economics - Working Papers Series 1129, The University of Melbourne.
    8. Joe L. Parcell & Jason R.V. Franken & Maria Cox & David J. Patterson & Richard F. Randle, 2010. "Buyers’ perceptions of importance and willingness‐to‐pay for certain attributes of source and production verified bred heifers," Agricultural Economics, International Association of Agricultural Economists, vol. 41(5), pages 463-470, September.
    9. Griffin, Ronald C. & Mjelde, James W., 2011. "Distributing water's bounty," Ecological Economics, Elsevier, vol. 72(C), pages 116-128.
    10. Ms. Camelia Minoiu & Sanjay Reddy, 2008. "Kernel Density Estimation Based on Grouped Data: The Case of Poverty Assessment," IMF Working Papers 2008/183, International Monetary Fund.
    11. Lee, Jongchul, 2013. "A provincial perspective on income inequality in urban China and the role of property and business income," China Economic Review, Elsevier, vol. 26(C), pages 140-150.
    12. Jin, Hailong & Qian, Hang & Wang, Tong & Choi, E Kwan, 2014. "Income Distribution in Urban China: An Overlooked Data Inconsistency Issue," Staff General Research Papers Archive 37381, Iowa State University, Department of Economics.
    13. Hatice Çiçek & Sinan Saraçlı, 2015. "Performance Of Shannon's Maximum Entropy Distribution Under Some Restrictions: An Application On Turkey's Annual Temperatures," Alphanumeric Journal, Bahadir Fatih Yildirim, vol. 3(1), pages 7-14, June.
    14. Sugasawa, Shonosuke & Kobayashi, Genya & Kawakubo, Yuki, 2020. "Estimation and inference for area-wise spatial income distributions from grouped data," Computational Statistics & Data Analysis, Elsevier, vol. 145(C).
    15. Ba Chu & Stephen Satchell, 2016. "Recovering the Most Entropic Copulas from Preliminary Knowledge of Dependence," Econometrics, MDPI, vol. 4(2), pages 1-21, March.

  20. Rodolfo M. Nayga, Jr. & Ximing Wu & Robert G. Brummett, 2007. "On the Use of Cheap Talk in New Product Valuation," Economics Bulletin, AccessEcon, vol. 2(1), pages 1-9.

    Cited by:

    1. Stavroula Tsigou & Stathis Klonaris, 2018. "Factors affecting farmers’ WTP for innovative fertilizer against soil salinity," Working Papers 2018-3, Agricultural University of Athens, Department Of Agricultural Economics.
    2. Penn, Jerrod & Hu, Wuyang, 2016. "Making the Most of Cheap Talk in an Online Survey," 2016 Annual Meeting, July 31-August 2, Boston, Massachusetts 236171, Agricultural and Applied Economics Association.
    3. Drichoutis, Andreas C. & Lusk, Jayson & Pappa, Valentina, 2014. "Elicitation formats and the WTA/WTP gap: A study of climate neutral foods," MPRA Paper 55831, University Library of Munich, Germany.
    4. Dahal, Ram P. & Grala, Robert K. & Gordon, Jason S. & Petrolia, Daniel R. & Munn, Ian A., 2018. "Estimating the willingness to pay to preserve waterfront open spaces using contingent valuation," Land Use Policy, Elsevier, vol. 78(C), pages 614-626.
    5. Tenaw G. Abate & Morten R. Mørkbak & Søren B. Olsen, 2018. "Inducing value and institutional learning effects in stated choice experiments using advanced disclosure and instructional choice set treatments," Agricultural Economics, International Association of Agricultural Economists, vol. 49(3), pages 339-351, May.
    6. Giotis, Thomas & Drichoutis, Andreas C., 2020. "Consumer acceptance and willingness-to-pay for insect-based foods: The role of proximity of insects in the food chain," MPRA Paper 104840, University Library of Munich, Germany.
    7. Stephane Bergeron & Maurice Doyon & Laurent Muller, 2019. "Strategic response: A key to understand how cheap talk works," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 67(1), pages 75-83, March.
    8. Britwum, Kofi & Yiannaka, Amalia, 2019. "Consumer willingness to pay for food safety interventions: The role of message framing and issue involvement," Food Policy, Elsevier, vol. 86(C), pages 1-1.
    9. Victor Champonnois & Olivier Chanel, 2016. "How useful are (Censored) Quantile Regressions for Contingent Valuation?," Working Papers 2016.12, FAERE - French Association of Environmental and Resource Economists.
    10. Maurice Doyon & Laure Saulais & Bernard Ruffieux & Denise Bweli, 2015. "Hypothetical bias for private goods: does cheap talk make a difference?," Post-Print hal-01254936, HAL.
    11. Bello, Muhammad Baba & Abdulai, Awudu, 2015. "Evaluating Preferences for Organic Product Attributes in Nigeria: Attribute non-attendance under explicit and implicit priming task," 2015 AAEA & WAEA Joint Annual Meeting, July 26-28, San Francisco, California 205085, Agricultural and Applied Economics Association.
    12. Wuepper, David & Clemm, Alexandra & Wree, Philipp, 2019. "The preference for sustainable coffee and a new approach for dealing with hypothetical bias," Journal of Economic Behavior & Organization, Elsevier, vol. 158(C), pages 475-486.
    13. Dominique Ami & Frédéric Aprahamian & Olivier Chanel & Stéphane Luchini, 2011. "A Test of Cheap Talk in Different Hypothetical Contexts: The Case of Air Pollution," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 50(1), pages 111-130, September.
    14. Tsigkou, Stavroula & Klonaris, Stathis, 2020. "Eliciting Farmers' Willingness to Pay for Innovative Fertilizer Against Soil Salinity: Comparison of Two Methods in a Field Survey," International Journal of Agricultural Management, Institute of Agricultural Management, vol. 9, December.
    15. Jin, Shaosheng & Guo, Haiyue & Mao, Feiying & Zhou, Lin & Cheng, Guangyan, 2016. "Willingness To Pay For Implementing Haccp Systems In China’S Small And Medium-Sized Food Enterprises," International Journal of Food and Agricultural Economics (IJFAEC), Alanya Alaaddin Keykubat University, Department of Economics and Finance, vol. 4(2), pages 1-13, April.
    16. 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.
    17. Kemeze, Francis H., 2020. "Demand for Supplemental Irrigation via Small-Scale Water Harvesting," 2020 Annual Meeting, July 26-28, Kansas City, Missouri 304569, Agricultural and Applied Economics Association.

  21. Perloff, Jeffrey M. & Wu, Ximing, 2007. "Tax incidence varies across the price distribution," Economics Letters, Elsevier, vol. 96(1), pages 116-119, July.

    Cited by:

    1. Lach, Saul & Moraga-González, José-Luis, 2009. "Heterogeneous Price Information and the Effect of Competition," CEPR Discussion Papers 7319, C.E.P.R. Discussion Papers.
    2. Plewka, Jörg, 2007. "Fiscal Discrimination Between Consumer Groups: Tax Burden Distribution Under Price Discrimination," Ruhr Economic Papers 19, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    3. Saul Lach & Jose Luis Moraga-Gonzalez, 2009. "Asymmetric Price Effects of Competition," Tinbergen Institute Discussion Papers 09-049/2, Tinbergen Institute.
    4. Berck, Peter & Brown, Jennifer & Perloff, Jeffrey M & Villas-Boas, Sofia B., 2007. "Sales: Tests of Theories on Causality and Timing," Department of Agricultural & Resource Economics, UC Berkeley, Working Paper Series qt2g56n1jk, Department of Agricultural & Resource Economics, UC Berkeley.
    5. Christos Kotsogiannis & Konstantinos Serfes, 2014. "The Comparison of ad Valorem and Specific Taxation under Uncertainty," Journal of Public Economic Theory, Association for Public Economic Theory, vol. 16(1), pages 48-68, February.
    6. Hao Lan & Tim Lloyd & Wyn Morgan & Paul W. Dobson, 2022. "Are food price promotions predictable? The hazard function of supermarket discounts," Journal of Agricultural Economics, Wiley Blackwell, vol. 73(1), pages 64-85, February.

  22. Ximing Wu & Jeffrey M. Perloff & Amos Golan, 2006. "Effects Of Government Policies On Urban And Rural Income Inequality," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 52(2), pages 213-235, June.

    Cited by:

    1. Gaetano Martino & Cristiano Perugini, 2008. "Income inequality within European regions: determinants and effects on growth," Quaderni del Dipartimento di Economia, Finanza e Statistica 52/2008, Università di Perugia, Dipartimento Economia.
    2. David Neumark & Matthew Thompson & Leslie Koyle, 2012. "The effects of living wage laws on low-wage workers and low-income families: What do we know now?," IZA Journal of Labor Policy, Springer;Forschungsinstitut zur Zukunft der Arbeit GmbH (IZA), vol. 1(1), pages 1-34, December.
    3. Oguzhan C. Dincer & Burak Gunalp, 2012. "Corruption And Income Inequality In The United States," Contemporary Economic Policy, Western Economic Association International, vol. 30(2), pages 283-292, April.
    4. Chhavi Tiwari & Sankalpa Bhattacharjee & Debkumar Chakrabarti, 2020. "Investigating Regional Inequalities in India: Are Indian Districts Converging?," Journal of International Development, John Wiley & Sons, Ltd., vol. 32(5), pages 684-716, July.
    5. Adriana AnaMaria Davidescu & Tamara Maria Nae & Margareta-Stela Florescu, 2022. "Exploring the Moderation and Mediation Effects in Addressing the Main Determinants of Income Inequalities in Supporting Quality of Life: Insights from CEE Countries," IJERPH, MDPI, vol. 19(14), pages 1-28, July.
    6. Spiller, Elisheba & Stephens, Heather M., 2012. "The Heterogeneous Effects of Gasoline Taxes: Why Where We Live Matters," RFF Working Paper Series dp-12-30, Resources for the Future.
    7. Ahmed Raza Cheema & Ahmed Raza Cheema, 2012. "Poverty, Income Inequality, and Growth in Pakistan: A Pooled Regression Analysis," Lahore Journal of Economics, Department of Economics, The Lahore School of Economics, vol. 17(2), pages 137-157, July-Dec.
    8. Kinam Kim & Peter J. Lambert, 2009. "Redistributive Effect of U.S. Taxes and Public Transfers, 1994-2004," Public Finance Review, , vol. 37(1), pages 3-26, January.
    9. David Neumark & Matthew Thompson & Francesco Brindisi & Leslie Koyle & Clayton Reck, 2012. "Estimating the Economic Impacts of Living Wage Mandates Using Ex Ante Simulations, Longitudinal Estimates, and New Public and Administrative Data: Evidence for New York City," NBER Working Papers 18055, National Bureau of Economic Research, Inc.
    10. Vanesa Jorda & Jose M. Alonso, 2020. "What works to mitigate and reduce relative (and absolute) inequality?: A systematic review," WIDER Working Paper Series wp-2020-152, World Institute for Development Economic Research (UNU-WIDER).

  23. Ximing Wu & Thanasis Stengos, 2005. "Partially adaptive estimation via the maximum entropy densities," Econometrics Journal, Royal Economic Society, vol. 8(3), pages 352-366, December.
    See citations under working paper version above.
  24. Ximing Wu & Jeffrey M. Perloff, 2005. "China's Income Distribution, 1985-2001," The Review of Economics and Statistics, MIT Press, vol. 87(4), pages 763-775, November.
    See citations under working paper version above.
  25. Wu, Ximing, 2003. "Calculation of maximum entropy densities with application to income distribution," Journal of Econometrics, Elsevier, vol. 115(2), pages 347-354, August.

    Cited by:

    1. Tack, Jesse, 2013. "A Nested Test for Common Yield Distributions with Applications to U.S. Corn," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 38(1), pages 1-14, April.
    2. Wu, Ximing & Perloff, Jeffrey M., 2005. "China's Income Distribution, 1985-2001," Department of Agricultural & Resource Economics, UC Berkeley, Working Paper Series qt0zd6m0sf, Department of Agricultural & Resource Economics, UC Berkeley.
    3. Thanasis Stengos & Ximing Wu, 2005. "Partially Adaptive Estimation via Maximum Entropy Densities," University of Cyprus Working Papers in Economics 6-2005, University of Cyprus Department of Economics.
    4. Yan, Ting & Zhao, Yunpeng & Qin, Hong, 2015. "Asymptotic normality in the maximum entropy models on graphs with an increasing number of parameters," Journal of Multivariate Analysis, Elsevier, vol. 133(C), pages 61-76.
    5. Tack, Jesse B. & Ubilava, David, 2013. "El Ni˜no Southern Oscillation Impacts on Crop Insurance," 2013 Annual Meeting, August 4-6, 2013, Washington, D.C. 151429, Agricultural and Applied Economics Association.
    6. Wu, Ximing & Perloff, Jeffrey M., 2004. "China's Income Distribution Over Time: Reasons for Rising Inequality," Department of Agricultural & Resource Economics, UC Berkeley, Working Paper Series qt9jw2v939, Department of Agricultural & Resource Economics, UC Berkeley.
    7. Fernandes, Leonardo H.S. & de Araújo, Fernando H.A. & Silva, Igor E.M. & Neto, Jusie S.P., 2021. "Macroeconophysics indicator of economic efficiency," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 573(C).
    8. Sung Y. Park & Anil K. Bera, 2018. "Information theoretic approaches to income density estimation with an application to the U.S. income data," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 16(4), pages 461-486, December.
    9. Tanaka, Ken'ichiro & Toda, Alexis Akira, 2015. "Discretizing Distributions with Exact Moments: Error Estimate and Convergence Analysis," University of California at San Diego, Economics Working Paper Series qt7g23r5kh, Department of Economics, UC San Diego.
    10. Tanaka, Ken’ichiro & Toda, Alexis Akira, 2013. "Discrete approximations of continuous distributions by maximum entropy," Economics Letters, Elsevier, vol. 118(3), pages 445-450.
    11. Thanasis Stengos & Yiguo Sun, 2005. "The Absolute Health Income Hypothesis Revisited : A Semiparametric Quantile Regression Approach," University of Cyprus Working Papers in Economics 7-2005, University of Cyprus Department of Economics.
    12. Omar Abdul Rahman Kittaneh, 2019. "Estimating the Income Distribution of Some Muslim Countries Based on Entropy Measures تقدير توزيع الدخل لبعض الدول الإسلامية بناء على مقاييس عشوائية," Journal of King Abdulaziz University: Islamic Economics, King Abdulaziz University, Islamic Economics Institute., vol. 32(1), pages 159-169, January.
    13. Carol Alexander & José María Sarabia, 2012. "Quantile Uncertainty and Value‐at‐Risk Model Risk," Risk Analysis, John Wiley & Sons, vol. 32(8), pages 1293-1308, August.
    14. Usta, Ilhan & Kantar, Yeliz Mert, 2011. "On the performance of the flexible maximum entropy distributions within partially adaptive estimation," Computational Statistics & Data Analysis, Elsevier, vol. 55(6), pages 2172-2182, June.
    15. Beatty, Timothy K. M. & LaFrance, Jeffrey T, 2005. "U.S. Demand for Food and Nutrition in the 20th Century," Department of Agricultural & Resource Economics, UC Berkeley, Working Paper Series qt41f3z7cd, Department of Agricultural & Resource Economics, UC Berkeley.
    16. Rompolis, Leonidas S., 2010. "Retrieving risk neutral densities from European option prices based on the principle of maximum entropy," Journal of Empirical Finance, Elsevier, vol. 17(5), pages 918-937, December.
    17. Sylvia J. Soltyk & Felix Chan, 2023. "Modeling time‐varying higher‐order conditional moments: A survey," Journal of Economic Surveys, Wiley Blackwell, vol. 37(1), pages 33-57, February.
    18. Stephen Satchell & Susan Thorp & Oliver Williams, 2012. "Estimating Consumption Plans for Recursive Utility by Maximum Entropy Methods," Research Paper Series 300, Quantitative Finance Research Centre, University of Technology, Sydney.
    19. Matt Wiser & Gloria Yeomans-Maldonado & Sudipta Sarangi, 2012. "On "Organized Kissing"," Departmental Working Papers 2012-07, Department of Economics, Louisiana State University.
    20. Bee, Marco & Riccaboni, Massimo & Schiavo, Stefano, 2017. "Where Gibrat meets Zipf: Scale and scope of French firms," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 481(C), pages 265-275.
    21. Matthew Wiser & Gloria Yeomans-Maldonado & Sudipta Sarangi, 2014. "Having More Fun with Organized Kissing," Southern Economic Journal, John Wiley & Sons, vol. 80(3), pages 855-865, January.
    22. Wu, Ximing & Perloff, Jeffrey M., 2007. "Information-Theoretic Deconvolution Approximation of Treatment Effect Distribution," Department of Agricultural & Resource Economics, UC Berkeley, Working Paper Series qt9vd036zx, Department of Agricultural & Resource Economics, UC Berkeley.
    23. Leonidas S. Rompolis & Elias Tzavalis, 2017. "Retrieving risk neutral moments and expected quadratic variation from option prices," Review of Quantitative Finance and Accounting, Springer, vol. 48(4), pages 955-1002, May.
    24. Tack, Jesse B., 2013. "The Effect of Climate on Crop Insurance Premium Rates and Producer Subsidies," 2013 Annual Meeting, August 4-6, 2013, Washington, D.C. 149817, Agricultural and Applied Economics Association.
    25. Lee Tae-Hwy & Ullah Aman & Mao Millie Yi, 2021. "Maximum Entropy Analysis of Consumption-based Capital Asset Pricing Model and Volatility," Journal of Econometric Methods, De Gruyter, vol. 10(1), pages 1-19, January.
    26. Wu, Ximing & Perloff, Jeffrey M., 2005. "GMM Estimation of a Maximum Distribution With Interval Data," Institute for Research on Labor and Employment, Working Paper Series qt7jf5w1ht, Institute of Industrial Relations, UC Berkeley.
    27. Thanasis Stengos & Ximing Wu, 2010. "Information-Theoretic Distribution Test with Application to Normality," Econometric Reviews, Taylor & Francis Journals, vol. 29(3), pages 307-329.
    28. Bhati, Avinash, 2009. "Motivational structures underlying judicial discretion: An information theoretic investigation," MPRA Paper 57834, University Library of Munich, Germany.
    29. Zhang, Wei & Liu, Jing & Goodman, Jesse & Weir, Bruce S. & Fewster, Rachel M., 2019. "Stationary distribution of the linkage disequilibrium coefficient r2," Theoretical Population Biology, Elsevier, vol. 128(C), pages 19-26.
    30. Jenny Farmer & Donald Jacobs, 2018. "High throughput nonparametric probability density estimation," PLOS ONE, Public Library of Science, vol. 13(5), pages 1-29, May.
    31. Millie Yi Mao & Aman Ullah, 2019. "Information Theoretic Estimation of Econometric Functions," Working Papers 201923, University of California at Riverside, Department of Economics.
    32. Domenico Di Gangi & Fabrizio Lillo & Davide Pirino, 2015. "Assessing systemic risk due to fire sales spillover through maximum entropy network reconstruction," Papers 1509.00607, arXiv.org, revised Jul 2018.
    33. Wu, Ximing, 2010. "Exponential Series Estimator of multivariate densities," Journal of Econometrics, Elsevier, vol. 156(2), pages 354-366, June.
    34. Yichen Gao & Yu Zhang & Ximing Wu, 2015. "Penalized exponential series estimation of copula densities with an application to intergenerational dependence of body mass index," Empirical Economics, Springer, vol. 48(1), pages 61-81, February.
    35. Frank Kwasniok, 2021. "Semiparametric maximum likelihood probability density estimation," PLOS ONE, Public Library of Science, vol. 16(11), pages 1-33, November.
    36. Muhammad Shoaib & Imran Siddiqui & Shafiqur Rehman & Saif Ur Rehman & Shamim Khan & Aref Lashin, 2016. "Comparison of Wind Energy Generation Using the Maximum Entropy Principle and the Weibull Distribution Function," Energies, MDPI, vol. 9(10), pages 1-18, October.
    37. Lee, Jongchul, 2013. "A provincial perspective on income inequality in urban China and the role of property and business income," China Economic Review, Elsevier, vol. 26(C), pages 140-150.
    38. Ximing Wu & Andreas Savvides & Thanasis Stengos, 2008. "The Global Joint Distribution of Income and Health," Working Papers 0807, University of Guelph, Department of Economics and Finance.
    39. Carol Alexander & Jose Maria Sarabia, 2010. "Endogenizing Model Risk to Quantile Estimates," ICMA Centre Discussion Papers in Finance icma-dp2010-07, Henley Business School, University of Reading.
    40. Shamilov, Aladdin, 2007. "Generalized entropy optimization problems and the existence of their solutions," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 382(2), pages 465-472.
    41. Marco Bee, 2020. "On discriminating between lognormal and Pareto tail: A mixture-based approach," DEM Working Papers 2020/9, Department of Economics and Management.
    42. Tack, Jesse B. & Harri, Ardian & Coble, Keith H., 2012. "More than Mean Effects: Modeling the Effect of Climate on the Higher Order Moments of Crop Yields," 2012 Annual Meeting, August 12-14, 2012, Seattle, Washington 123330, Agricultural and Applied Economics Association.
    43. Bao, Xing & Tang, Ou & Ji, Jianhua, 2008. "Applying the minimum relative entropy method for bimodal distribution in a remanufacturing system," International Journal of Production Economics, Elsevier, vol. 113(2), pages 969-979, June.
    44. Lee, Jongchul, 2013. "Income Inequality In Urban China And The Role Of State Sector," Hitotsubashi Journal of Economics, Hitotsubashi University, vol. 54(2), pages 159-176, December.
    45. Emanuele Taufer & Sudip Bose & Aldo Tagliani, 2009. "Optimal predictive densities and fractional moments," Applied Stochastic Models in Business and Industry, John Wiley & Sons, vol. 25(1), pages 57-71, January.
    46. Hatice Çiçek & Sinan Saraçlı, 2015. "Performance Of Shannon's Maximum Entropy Distribution Under Some Restrictions: An Application On Turkey's Annual Temperatures," Alphanumeric Journal, Bahadir Fatih Yildirim, vol. 3(1), pages 7-14, June.
    47. Bee, Marco & Riccaboni, Massimo & Schiavo, Stefano, 2013. "The size distribution of US cities: Not Pareto, even in the tail," Economics Letters, Elsevier, vol. 120(2), pages 232-237.
    48. Chan, Felix, 2009. "Modelling time-varying higher moments with maximum entropy density," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 79(9), pages 2767-2778.
    49. Chu, Ba, 2011. "Recovering copulas from limited information and an application to asset allocation," Journal of Banking & Finance, Elsevier, vol. 35(7), pages 1824-1842, July.
    50. Ba Chu & Stephen Satchell, 2016. "Recovering the Most Entropic Copulas from Preliminary Knowledge of Dependence," Econometrics, MDPI, vol. 4(2), pages 1-21, March.
    51. Bao, Xing & Diabat, Ali & Zheng, Zhongliang, 2020. "An ambiguous manager's disruption decisions with insufficient data in recovery phase," International Journal of Production Economics, Elsevier, vol. 221(C).

Chapters

  1. Yu Yvette Zhang & Ximing Wu & Qi Li, 2016. "A Simple Consistent Nonparametric Estimator of the Lorenz Curve," Advances in Econometrics, in: Essays in Honor of Aman Ullah, volume 36, pages 635-653, Emerald Group Publishing Limited.

    Cited by:

    1. Lina Cortés & Juan M. Lozada & Javier Perote, 2019. "Firm size and concentration inequality: A flexible extension of Gibrat’s law," Documentos de Trabajo de Valor Público 17205, Universidad EAFIT.
    2. Lina M Cortés & Juan M Lozada & Javier Perote, 2021. "Firm size and economic concentration: An analysis from a lognormal expansion," PLOS ONE, Public Library of Science, vol. 16(7), pages 1-21, July.
    3. Dong Li & Luya Wang & Ximing Wu, 2021. "Bayesian estimation of bidding process and bidder’s preference under shape restrictions," Empirical Economics, Springer, vol. 60(1), pages 157-176, January.
    4. Bongiorno, Enea G. & Goia, Aldo, 2019. "Describing the concentration of income populations by functional principal component analysis on Lorenz curves," Journal of Multivariate Analysis, Elsevier, vol. 170(C), pages 10-24.

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