IDEAS home Printed from https://ideas.repec.org/f/pya380.html
   My authors  Follow this author

Nadege Desiree Yameogo

Personal Details

First Name:Nadege
Middle Name:Desiree
Last Name:Yameogo
Suffix:
RePEc Short-ID:pya380
[This author has chosen not to make the email address public]

Affiliation

African Development Bank

Abidjan, Côte d'Ivoire
http://www.afdb.org/
RePEc:edi:afdbgci (more details at EDIRC)

Research output

as
Jump to: Working papers Articles

Working papers

  1. Nadège Désirée Yaméogo, 2014. "Working Paper 200 - Analysis of Household Expenditures and the Impact of Remittances using a Latent Class Model: the Case of Burkina Faso," Working Paper Series 2108, African Development Bank.

Articles

  1. Nadege Desiree Yameogo & Tiguune Nabassaga & Abebe Shimeles & Mthuli Ncube, 2014. "Diversification and Sophistication as drivers of structural transformation for Africa: The Economic Complexity Index of African Countries," Journal of African Development, African Finance and Economic Association (AFEA), vol. 16(2), pages 1-31.
  2. Yaméogo, Nadège Désirée & Nabassaga, Tiguéné & Ncube, Mthuli, 2014. "Diversification and sophistication of livestock products: The case of African countries," Food Policy, Elsevier, vol. 49(P2), pages 398-407.
  3. Bernard, Jean-Thomas & Bolduc, Denis & Yameogo, Nadège-Désirée, 2011. "A pseudo-panel data model of household electricity demand," Resource and Energy Economics, Elsevier, vol. 33(1), pages 315-325, January.

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. Nadège Désirée Yaméogo, 2014. "Working Paper 200 - Analysis of Household Expenditures and the Impact of Remittances using a Latent Class Model: the Case of Burkina Faso," Working Paper Series 2108, African Development Bank.

    Cited by:

    1. Rosemary E. Isoto & David S. Kraybill, 2017. "Remittances and household nutrition: evidence from rural Kilimanjaro in Tanzania," Food Security: The Science, Sociology and Economics of Food Production and Access to Food, Springer;The International Society for Plant Pathology, vol. 9(2), pages 239-253, April.

Articles

  1. Nadege Desiree Yameogo & Tiguune Nabassaga & Abebe Shimeles & Mthuli Ncube, 2014. "Diversification and Sophistication as drivers of structural transformation for Africa: The Economic Complexity Index of African Countries," Journal of African Development, African Finance and Economic Association (AFEA), vol. 16(2), pages 1-31.

    Cited by:

    1. Doukoure Charles Fe & Romain Kouakou N'guessan, 2023. "Does international trade stimulate structural change in Africa?," Economics Bulletin, AccessEcon, vol. 43(1), pages 644-663.

  2. Yaméogo, Nadège Désirée & Nabassaga, Tiguéné & Ncube, Mthuli, 2014. "Diversification and sophistication of livestock products: The case of African countries," Food Policy, Elsevier, vol. 49(P2), pages 398-407.

    Cited by:

    1. Maha Khan & Uzma Afzal, 2016. "The Diversification and Sophistication of Pakistan’s Exports: The Need for Structural Transformation," Lahore Journal of Economics, Department of Economics, The Lahore School of Economics, vol. 21(Special E), pages 99-127, September.
    2. Msangi, Siwa & Enahoro, Dolapo & Herrero, Mario & Magnan, Nicholas & Havlik, Petr & Notenbaert, An & Nelgen, Signe, 2014. "Integrating livestock feeds and production systems into agricultural multi-market models: The example of IMPACT," Food Policy, Elsevier, vol. 49(P2), pages 365-377.
    3. Baker, Derek & Enahoro, Dolapo, 2014. "Policy analysis and advocacy for livestock-based development: The gap between household-level analysis and higher-level models," Food Policy, Elsevier, vol. 49(P2), pages 361-364.

  3. Bernard, Jean-Thomas & Bolduc, Denis & Yameogo, Nadège-Désirée, 2011. "A pseudo-panel data model of household electricity demand," Resource and Energy Economics, Elsevier, vol. 33(1), pages 315-325, January.

    Cited by:

    1. Ye, Yuxiang & Koch, Steven F. & Zhang, Jiangfeng, 2018. "Determinants of household electricity consumption in South Africa," Energy Economics, Elsevier, vol. 75(C), pages 120-133.
    2. Li, Lanlan & Gong, Chengzhu & Wang, Deyun & Zhu, Kejun, 2013. "Multi-agent simulation of the time-of-use pricing policy in an urban natural gas pipeline network: A case study of Zhengzhou," Energy, Elsevier, vol. 52(C), pages 37-43.
    3. Dorothée Charlier & Sondès Kahouli, 2018. "Fuel poverty and residential energy demand: how fuel-poor households react to energy price fluctuations," Post-Print halshs-01957771, HAL.
    4. Alberini, Anna & Gans, Will & Velez-Lopez, Daniel, 2011. "Residential consumption of gas and electricity in the U.S.: The role of prices and income," Energy Economics, Elsevier, vol. 33(5), pages 870-881, September.
    5. Jacopo Torriti & Philipp Grunewald, 2014. "Demand Side Response: Patterns in Europe and Future Policy Perspectives under Capacity Mechanisms," Economics of Energy & Environmental Policy, International Association for Energy Economics, vol. 0(Number 1).
    6. Desiderio Romero-Jordán & Pablo Del Río & Cristina Peñasco, 2015. "An analysis of the welfare and distributive implications of factors influencing household electricity consumption," Working Papers 1503, Instituto de Políticas y Bienes Públicos (IPP), CSIC.
    7. Feuerriegel, Stefan & Neumann, Dirk, 2014. "Measuring the financial impact of demand response for electricity retailers," Energy Policy, Elsevier, vol. 65(C), pages 359-368.
    8. Shahbaz, Muhammad & Zakaria, Muhammad & Shahzad, Syed Jawad Hussain & Mahalik, Mantu Kumar, 2018. "The energy consumption and economic growth nexus in top ten energy-consuming countries: Fresh evidence from using the quantile-on-quantile approach," Energy Economics, Elsevier, vol. 71(C), pages 282-301.
    9. Rossella Bardazzi & Maria Grazia Pazienza & Maria Eugenia Sanin, 2021. "Life-cycle Characteristics and Energy Practices in Developing Countries: the Case of Mexico," Working Papers - Economics wp2021_11.rdf, Universita' degli Studi di Firenze, Dipartimento di Scienze per l'Economia e l'Impresa.
    10. Mathilde Aubouin, 2022. "Determinants of the Digital Divide: Evidence from France," Working Papers hal-04159800, HAL.
    11. Dorothée Charlier & Sondès Kahouli, 2018. "From residential energy demand to fuel poverty: income-induced non-linearities in the reactions of households to energy price fluctuations," Working Papers 2018.11, FAERE - French Association of Environmental and Resource Economists.
    12. John T. Cuddington and Leila Dagher, 2015. "Estimating Short and Long-Run Demand Elasticities: A Primer with Energy-Sector Applications," The Energy Journal, International Association for Energy Economics, vol. 0(Number 1).
    13. Li, Chuan-Zhong & Wei, Chu & Yu, Yang, 2020. "Income threshold, household appliance ownership and residential energy consumption in urban China," China Economic Review, Elsevier, vol. 60(C).
    14. Damette, Olivier & Delacote, Philippe & Lo, Gaye Del, 2018. "Households energy consumption and transition toward cleaner energy sources," Energy Policy, Elsevier, vol. 113(C), pages 751-764.
    15. Pellini, Elisabetta, 2021. "Estimating income and price elasticities of residential electricity demand with Autometrics," Energy Economics, Elsevier, vol. 101(C).
    16. Fateh Belaïd & Christophe Rault & Camille Massié, 2021. "A life-cycle theory analysis of French household electricity demand," Post-Print hal-03271505, HAL.
    17. Çetinkaya, Murat & Başaran, Alparslan A. & Bağdadioğlu, Necmiddin, 2015. "Electricity reform, tariff and household elasticity in Turkey," Utilities Policy, Elsevier, vol. 37(C), pages 79-85.
    18. Jia, Jun-Jun & Guo, Jin & Wei, Chu, 2021. "Elasticities of residential electricity demand in China under increasing-block pricing constraint: New estimation using household survey data," Energy Policy, Elsevier, vol. 156(C).
    19. Feehan, James P., 2018. "The long-run price elasticity of residential demand for electricity: Results from a natural experiment," Utilities Policy, Elsevier, vol. 51(C), pages 12-17.
    20. Csereklyei, Zsuzsanna, 2020. "Price and income elasticities of residential and industrial electricity demand in the European Union," Energy Policy, Elsevier, vol. 137(C).
    21. Sailan Hu & Rongrong Li, 2021. "Investigating the Effects of the United States’ Economic Slowdown Related to the COVID-19 Pandemic on Energy Consumption in Other Countries—A Global Vector Autoregressive Model," Energies, MDPI, vol. 14(11), pages 1-25, May.
    22. Anna Risch & Claire Salmon, 2013. "What matters in Residential Energy Consumption? Evidence from France," Working Papers hal-01081953, HAL.
    23. Rossella Bardazzi & Maria Grazia Pazienza & Maria Eugenia Sanin, 2022. "Energy practices and population cohorts: the case of Mexico," SN Business & Economics, Springer, vol. 2(11), pages 1-22, November.
    24. Torriti, Jacopo, 2013. "The significance of occupancy steadiness in residential consumer response to Time-of-Use pricing: Evidence from a stochastic adjustment model," Utilities Policy, Elsevier, vol. 27(C), pages 49-56.
    25. Lundgren, Berndt & Schultzberg, Mårten, 2019. "Application of the economic theory of self-control to model energy conservation behavioral change in households," Working Paper Series 19/1, Royal Institute of Technology, Department of Real Estate and Construction Management & Banking and Finance.
    26. Salari, Mahmoud & Javid, Roxana J., 2017. "Modeling household energy expenditure in the United States," Renewable and Sustainable Energy Reviews, Elsevier, vol. 69(C), pages 822-832.
    27. Silva, Susana & Soares, Isabel & Pinho, Carlos, 2017. "Electricity demand response to price changes: The Portuguese case taking into account income differences," Energy Economics, Elsevier, vol. 65(C), pages 335-342.
    28. Miller, Mark & Alberini, Anna, 2016. "Sensitivity of price elasticity of demand to aggregation, unobserved heterogeneity, price trends, and price endogeneity: Evidence from U.S. Data," Energy Policy, Elsevier, vol. 97(C), pages 235-249.
    29. Jia, Jun-Jun & Ni, Jinlan & Wei, Chu, 2023. "Residential responses to service-specific electricity demand: Case of China," China Economic Review, Elsevier, vol. 78(C).
    30. Hung, Ming-Feng & Huang, Tai-Hsin, 2015. "Dynamic demand for residential electricity in Taiwan under seasonality and increasing-block pricing," Energy Economics, Elsevier, vol. 48(C), pages 168-177.
    31. Will Gans & Anna Alberini & Alberto Longo, 2011. "Smart Meter Devices and The Effect of Feedback on Residential Electricity Consumption: Evidence from a Natural Experiment in Northern Ireland," Working Papers 2011.36, Fondazione Eni Enrico Mattei.
    32. Randazzo, Teresa & De Cian, Enrica & Mistry, Malcolm N., 2020. "Air conditioning and electricity expenditure: The role of climate in temperate countries," Economic Modelling, Elsevier, vol. 90(C), pages 273-287.
    33. Frondel, Manuel & Kussel, Gerhard & Sommer, Stephan, 2019. "Heterogeneity in the price response of residential electricity demand: A dynamic approach for Germany," Resource and Energy Economics, Elsevier, vol. 57(C), pages 119-134.
    34. Salomé Bakaloglou & Dorothée Charlier, 2018. "Energy Consumption in the French Residential Sector: How Much Do Individual Preferences Matter?," Working Papers 1803, Chaire Economie du climat.
    35. Kiran B Krishnamurthy, Chandra & Kriström, Bengt, 2013. "A cross-country analysis of residential electricity demand in 11 OECD-countries," CERE Working Papers 2013:5, CERE - the Center for Environmental and Resource Economics, revised 30 Jun 2014.
    36. Torriti, Jacopo, 2012. "Price-based demand side management: Assessing the impacts of time-of-use tariffs on residential electricity demand and peak shifting in Northern Italy," Energy, Elsevier, vol. 44(1), pages 576-583.
    37. Fullerton Jr., Thomas M. & Macias, David R. & Walke, Adam G., 2016. "Residential Electricity Demand in El Paso," Journal of Regional Analysis and Policy, Mid-Continent Regional Science Association, vol. 46(2), December.
    38. Yancy Vaillant & Esteban Lafuente & Manoj Chandra Bayon, 2019. "Early internationalization patterns and export market persistence: a pseudo-panel data analysis," Small Business Economics, Springer, vol. 53(3), pages 669-686, October.
    39. Mark Miller & Anna Alberini, 2015. "Sensitivity of price elasticity of demand to aggregation, unobserved heterogeneity, price trends, and price endogeneity: Evidence from U.S. Data," CER-ETH Economics working paper series 15/223, CER-ETH - Center of Economic Research (CER-ETH) at ETH Zurich.
    40. Charlier, Dorothée & Legendre, Bérangère & Ricci, Olivia, 2021. "Measuring fuel poverty in tropical territories: A latent class model," World Development, Elsevier, vol. 140(C).
    41. Li-Ling Peng & Guo-Feng Fan & Min-Liang Huang & Wei-Chiang Hong, 2016. "Hybridizing DEMD and Quantum PSO with SVR in Electric Load Forecasting," Energies, MDPI, vol. 9(3), pages 1-20, March.
    42. Zhiming Qiu & Chanjin Chung, 2017. "Effects of Food Assistance Programs, Demographic Characteristics, and Living Environments on Children¡¯s Food Insecurity," Applied Economics and Finance, Redfame publishing, vol. 4(4), pages 145-159, July.
    43. Guo-Feng Fan & Shan Qing & Hua Wang & Wei-Chiang Hong & Hong-Juan Li, 2013. "Support Vector Regression Model Based on Empirical Mode Decomposition and Auto Regression for Electric Load Forecasting," Energies, MDPI, vol. 6(4), pages 1-15, April.
    44. Anderson, Ben & Torriti, Jacopo, 2018. "Explaining shifts in UK electricity demand using time use data from 1974 to 2014," Energy Policy, Elsevier, vol. 123(C), pages 544-557.
    45. Rumman Khan, 2018. "Assessing cohort aggregation to minimise bias in pseudo-panels," Discussion Papers 2018-01, University of Nottingham, CREDIT.
    46. Romero-Jordán, Desiderio & del Río, Pablo, 2022. "Analysing the drivers of the efficiency of households in electricity consumption," Energy Policy, Elsevier, vol. 164(C).
    47. Ciabattoni, Lucio & Grisostomi, Massimo & Ippoliti, Gianluca & Longhi, Sauro, 2014. "Fuzzy logic home energy consumption modeling for residential photovoltaic plant sizing in the new Italian scenario," Energy, Elsevier, vol. 74(C), pages 359-367.
    48. Fateh Belaïd & Christophe Rault & Camille Massié, 2021. "A Life-Cycle Analysis of French Household Electricity Demand," CESifo Working Paper Series 8814, CESifo.
    49. Chi-Hong (Patrick) Tsai & Corinne Mulley & Geoffrey Clifton, 2014. "A Review of Pseudo Panel Data Approach in Estimating Short-run and Long-run Public Transport Demand Elasticities," Transport Reviews, Taylor & Francis Journals, vol. 34(1), pages 102-121, January.
    50. Krishnamurthy, Chandra Kiran B. & Kriström, Bengt, 2015. "A cross-country analysis of residential electricity demand in 11 OECD-countries," Resource and Energy Economics, Elsevier, vol. 39(C), pages 68-88.
    51. Aslam, Misbah & Ahmad, Eatzaz, 2023. "Untangling electricity demand elasticities: Insights from heterogeneous household groups in Pakistan," Energy, Elsevier, vol. 282(C).
    52. Kostakis, Ioannis & Lolos, Sarantis & Sardianou, Eleni, 2021. "Residential natural gas demand: Assessing the evidence from Greece using pseudo-panels, 2012–2019," Energy Economics, Elsevier, vol. 99(C).

More information

Research fields, statistics, top rankings, if available.

Statistics

Access and download statistics for all items

Co-authorship network on CollEc

NEP Fields

NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 1 paper announced in NEP. These are the fields, ordered by number of announcements, along with their dates. If the author is listed in the directory of specialists for this field, a link is also provided.
  1. NEP-AFR: Africa (1) 2014-05-09
  2. NEP-AGR: Agricultural Economics (1) 2014-05-09

Corrections

All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. For general information on how to correct material on RePEc, see these instructions.

To update listings or check citations waiting for approval, Nadege Desiree Yameogo should log into the RePEc Author Service.

To make corrections to the bibliographic information of a particular item, find the technical contact on the abstract page of that item. There, details are also given on how to add or correct references and citations.

To link different versions of the same work, where versions have a different title, use this form. Note that if the versions have a very similar title and are in the author's profile, the links will usually be created automatically.

Please note that most corrections can 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.