IDEAS home Printed from https://ideas.repec.org/a/tsj/stataj/v10y2010i3p315-330.html
   My bibliography  Save this article

An introduction to maximum entropy and minimum cross-entropy estimation using Stata

Author

Listed:
  • Martin Wittenberg

    (University of Cape Town)

Abstract

Maximum entropy and minimum cross-entropy estimation are applica- ble when faced with ill-posed estimation problems. I introduce a Stata command that estimates a probability distribution using a maximum entropy or minimum cross-entropy criterion. I show how this command can be used to calibrate survey data to various population totals. Copyright 2010 by StataCorp LP.

Suggested Citation

  • Martin Wittenberg, 2010. "An introduction to maximum entropy and minimum cross-entropy estimation using Stata," Stata Journal, StataCorp LP, vol. 10(3), pages 315-330, September.
    • Handle: RePEc:tsj:stataj:v:10:y:2010:i:3:p:315-330
    Note: to access software from within Stata, net describe http://www.stata-journal.com/software/sj10-3/st0196/
    as

    Download full text from publisher

    File URL: http://www.stata-journal.com/article.html?article=st0196
    File Function: link to article download
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Golan, Amos & Judge, George G. & Miller, Douglas, 1996. "Maximum Entropy Econometrics," Staff General Research Papers Archive 1488, Iowa State University, Department of Economics.
    Full references (including those not matched with items on IDEAS)

    Citations

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


    Cited by:

    1. Jean Drèze & Anmol Somanchi, 2024. "Weighty Evidence? Poverty Estimation with Missing Data," Studies in Microeconomics, , vol. 12(1), pages 93-106, April.
    2. Ihsaan Bassier & Joshua Budlender & Maya Goldman, 2022. "Social distress and (some) relief: Estimating the impact of pandemic job loss on poverty in South Africa," WIDER Working Paper Series wp-2022-80, World Institute for Development Economic Research (UNU-WIDER).
    3. World Bank & Government of Iraq, 2015. "Losing the Gains of the Past," World Bank Publications - Reports 24991, The World Bank Group.
    4. Stampini, Marco & Medellín, Nadin & Ibarrarán, Pablo, 2023. "Cash Transfers, Poverty, and Inequality in Latin America and the Caribbean," IDB Publications (Working Papers) 13191, Inter-American Development Bank.
    5. Jesse Tack & David Ubilava, 2013. "The effect of El Niño Southern Oscillation on U.S. corn production and downside risk," Climatic Change, Springer, vol. 121(4), pages 689-700, December.
    6. Osorio Rodarte, Israel, 2016. "Modeling Distributional Effects of Macroeconomic Shocks: Increasing female participation and human capital in Turkey," Conference papers 332777, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.
    7. Amy Thornton & Martin Wittenberg, 2022. "Reweighting the OHS and GHS to improve data quality: Representativeness, household counts, and small households," South African Journal of Economics, Economic Society of South Africa, vol. 90(4), pages 513-534, December.
    8. Anne Konrad & Jan Pablo Burgard & Ralf Münnich, 2021. "A Two‐level GREG Estimator for Consistent Estimation in Household Surveys," International Statistical Review, International Statistical Institute, vol. 89(3), pages 635-656, December.
    9. Edward J. Balistreri & Maryla Maliszewska & Israel Osorio-Rodarte & David G. Tarr & Hidemichi Yonezawa, 2016. "Poverty and Shared Prosperity Implications of Reducing Trade Costs Through Deep Integration in Eastern and Southern Africa," Working Papers 2016-07, Colorado School of Mines, Division of Economics and Business.
    10. Maya Goldman & Ihsaan Bassier & Joshua Budlender & Lindi Mzankomo & Ingrid Woolard & Murray Leibbrandt, 2021. "Simulation of options to replace the special COVID-19 Social Relief of Distress grant and close the poverty gap at the food poverty line," WIDER Working Paper Series wp-2021-165, World Institute for Development Economic Research (UNU-WIDER).
    11. Lakatos,Csilla & Maliszewska,Maryla & Osorio-Rodarte,Israel & Go,Delfin Sia, 2016. "China's slowdown and rebalancing: potential growth and poverty impacts on Sub-Saharan Africa," Policy Research Working Paper Series 7666, The World Bank.
    12. Munoz,Juan Eduardo & Gallegos Munoz,Jose Victor & Olivieri,Sergio Daniel, 2020. "Big Data for Sampling Design : The Venezuelan Migration Crisis in Ecuador," Policy Research Working Paper Series 9329, The World Bank.
    13. Maliszewska,Maryla & Osorio-Rodarte,Israel & Nichanametla Ramasubbaiah,Rakesh Gupta, 2020. "Ex-Ante Evaluation of Sub-National Labor Market Impacts of Trade Reforms," Policy Research Working Paper Series 9478, The World Bank.
    14. Edward J Balistreri & Maryla Maliszewska & Israel Osorio-Rodarte & David G Tarr & Hidemichi Yonezawa, 2018. "Poverty, Welfare and Income Distribution Implications of Reducing Trade Costs Through Deep Integration in Eastern and Southern Africa," Journal of African Economies, Centre for the Study of African Economies, vol. 27(2), pages 172-200.
    15. Balistreri, Edward J. & Maliszewska, Maryla & Osorio-Rodarte, Israel & Tarr, David G. & Yonezawa, Hidemichi, 2016. "Poverty and Shared Prosperity Implications of Deep Integration in Eastern and Southern Africa," Conference papers 332681, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.
    16. Nicola Branson & Martin Wittenberg, 2014. "Reweighting South African National Household Survey Data to Create a Consistent Series Over Time: A Cross-Entropy Estimation Approach," South African Journal of Economics, Economic Society of South Africa, vol. 82(1), pages 19-38, March.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. repec:lrk:lrkwkp:fiirs016 is not listed on IDEAS
    2. Axel Tonini & Roel Jongeneel, 2009. "The distribution of dairy farm size in Poland: a markov approach based on information theory," Applied Economics, Taylor & Francis Journals, vol. 41(1), pages 55-69.
    3. Miguel Henry & George Judge, 2019. "Permutation Entropy and Information Recovery in Nonlinear Dynamic Economic Time Series," Econometrics, MDPI, vol. 7(1), pages 1-16, March.
    4. Hyeok Lee & Yong Kyun Kim, 2018. "The effects of external shocks on the Korean economy: CGE model-based analysis," Journal of Economic Structures, Springer;Pan-Pacific Association of Input-Output Studies (PAPAIOS), vol. 7(1), pages 1-14, December.
    5. Wang, Yafeng & Graham, Brett, 2009. "Generalized Maximum Entropy estimation of discrete sequential move games of perfect information," MPRA Paper 21331, University Library of Munich, Germany.
    6. Arndt, Channing & Simler, Kenneth R., 2005. "Estimating utility-consistent poverty lines," FCND briefs 189, International Food Policy Research Institute (IFPRI).
    7. Luca Secondi, 2019. "Expiry Dates, Consumer Behavior, and Food Waste: How Would Italian Consumers React If There Were No Longer “Best Before” Labels?," Sustainability, MDPI, vol. 11(23), pages 1-15, December.
    8. Wobst, Peter & Arndt, Channing, 2004. "HIV/AIDS and Labor Force Upgrading in Tanzania," World Development, Elsevier, vol. 32(11), pages 1831-1847, November.
    9. Esteban Fernandez-Vazquez & Bart Los & Carmen Ramos-Carvajal, 2008. "Using Additional Information in Structural Decomposition Analysis: The Path-based Approach," Economic Systems Research, Taylor & Francis Journals, vol. 20(4), pages 367-394.
    10. Amos Golan & Stephen Vogel, 2000. "Estimation of Non-Stationary Social Accounting Matrix Coefficients with Supply-Side Information," Economic Systems Research, Taylor & Francis Journals, vol. 12(4), pages 447-471.
    11. de Figueiredo, Erik Alencar & Ziegelmann, Flávio Augusto, 2010. "Estimating income mobility using census data," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 389(21), pages 4897-4903.
    12. Nicole Branger, 2004. "Pricing Derivative Securities Using Cross-Entropy: An Economic Analysis," International Journal of Theoretical and Applied Finance (IJTAF), World Scientific Publishing Co. Pte. Ltd., vol. 7(01), pages 63-81.
    13. Amos Golan & Enrico Moretti & Jeffrey M.Perloff, 2004. "A Small-Sample Estimator for the Sample-Selection Model," Econometric Reviews, Taylor & Francis Journals, vol. 23(1), pages 71-91.
    14. Golan, Amos & Karp, Larry S & Perloff, Jeffrey M, 2000. "Estimating Coke's and Pepsi's Price and Advertising Strategies," Journal of Business & Economic Statistics, American Statistical Association, vol. 18(4), pages 398-409, October.
    15. Rubiera-Morollón, Fernando & Fernández-Vázquez , Esteban & Aponte-Jaramillo, Elizabeth, 2012. "Estimation and analysis of labor productivity in Spanish cities," INVESTIGACIONES REGIONALES - Journal of REGIONAL RESEARCH, Asociación Española de Ciencia Regional, issue 22, pages 129-151.
    16. You, Liangzhi & Wood, Stanley, 2006. "An entropy approach to spatial disaggregation of agricultural production," Agricultural Systems, Elsevier, vol. 90(1-3), pages 329-347, October.
    17. 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.
    18. Wu, Ximing & Perloff, Jeffrey M., 2004. "China's Income Distribution Over Time: Reasons for Rising Inequality," Institute for Research on Labor and Employment, Working Paper Series qt9jw2v939, Institute of Industrial Relations, UC Berkeley.
    19. Giuseppe Ragusa, 2011. "Minimum Divergence, Generalized Empirical Likelihoods, and Higher Order Expansions," Econometric Reviews, Taylor & Francis Journals, vol. 30(4), pages 406-456, August.
    20. Wu, Ximing & Perloff, Jeffrey M., 2007. "Information-Theoretic Deconvolution Approximation of Treatment Effect Distribution," Department of Agricultural & Resource Economics, UC Berkeley, Working Paper Series qt6bm6n30x, Department of Agricultural & Resource Economics, UC Berkeley.
    21. Y.T. Bahta & B.J. Willemse & B. Grove, 2014. "The role of agriculture in welfare, income distribution and economic development of the Free State Province of South Africa: A CGE approach," Agrekon, Taylor & Francis Journals, vol. 53(1), pages 46-74, March.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:tsj:stataj:v:10:y:2010:i:3:p:315-330. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Christopher F. Baum or Lisa Gilmore (email available below). General contact details of provider: http://www.stata-journal.com/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.