يعرض 1 - 16 نتائج من 16 نتيجة بحث عن '"Orrego-Suáza, Sergio A."', وقت الاستعلام: 0.43s تنقيح النتائج
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    Academic Journal
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    Academic Journal

    المصدر: Ensayos de Economía; Vol. 7 No. 13 (1997); 9-31 ; Ensayos de Economía; Vol. 7 Núm. 13 (1997); 9-31 ; 2619-6573 ; 0121-117X

    وصف الملف: application/pdf

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    Report

    وصف الملف: application/pdf

    Relation: Universidad Nacional de Colombia Sede Medellín Facultad de Ciencias Agropecuarias Departamento de Ciencias Forestales; Departamento de Ciencias Forestales; Orrego Suaza , Sergio Alonso and Del Valle Arango, Jorge Ignacio (2002) Existencias y tasas de incremento neto de la biomasa y del carbono en bosques primarios y secundarios de Colombia. Documento de trabajo. Sin Definir. (No publicado); https://repositorio.unal.edu.co/handle/unal/11262; http://bdigital.unal.edu.co/8670/

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    Academic Journal

    المصدر: Journal of Latin American Geography

    وصف الملف: application/pdf

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    Academic Journal

    المصدر: Lecturas de Economia; No. 56 (2002): January-June; 107 - 131 ; Lecturas de Economía; Núm. 56 (2002): Enero-Junio; 107 - 131 ; Lecturas de Economía; No. 56 (2002): Enero-Junio; 107 - 131 ; 2323-0622 ; 0120-2596 ; 10.17533/udea.le.n56

    وصف الملف: application/pdf

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    Dissertation/ Thesis

    المؤلفون: Moreno Álvarez, Ricardo

    المساهمون: Orrego Suaza, Sergio Alonso

    وصف الملف: 49 páginas; application/pdf

    Relation: LaReferencia; Abou-Zeid, M., & Ben-Akiva, M. (2014). Hybrid choice models. Chapters, 17(2), 383–412. https://ideas.repec.org/h/elg/eechap/14820_17.html; Almaguer, C. D. (2008). El riesgo: una reflexión filosófica. Universidad de La Habana, 1, 1–159. https://temas.sld.cu/saludydesastres/2010/11/03/el-riesgo-de-desastres-una-reflexion/; Amoatey, Sicard P. A., D. M., & Y.O, K. (2019). Long-term exposure to ambient PM2.5 and impacts on health in Roma. Clinical Epidemiology and Global Health. 2020;8(2):531–535. Doi:10.1016/j.Cegh.2019.11.009, 8(2), 531–535.; Ashenfelter, O. C. (2011). Measuring the Value of a Statistical Life: Problems and Prospects. SSRN Electronic Journal, 16(1), 79. https://doi.org/10.2139/ssrn.877890; Ashok, K., Dillon, W. R., & Yuan, S. (2002). Extending discrete choice models to incorporate attitudinal and other latent variables. Journal of Marketing Research, 39(1), 31–46. https://doi.org/10.1509/jmkr.39.1.31.18937; Barrientos, M. A. C. (2019). Incorporación de variables latentes en la estimación del valor estadístico de la vida. 1(1), 64. http://repositorio.udec.cl/jspui/handle/11594/5867; Bhat, C. R., & Dubey, S. K. (2014). A new estimation approach to integrate latent psychological constructs in choice modeling. Transportation Research Part B: Methodological, 67. https://doi.org/10.1016/j.trb.2014.04.011; Bolduc, D., Boucher, N., & Alvarez-Daziano, R. (2008). Hybrid choice modeling of new technologies for car choice in Canada. Transportation Research Record, 2(2082), 63–71. https://doi.org/10.3141/2082-08; Brody, S. D., Peck, B. M., & Highfield, W. E. (2004). Examining localized patterns of air quality perception in Texas: a spatial and statistical analysis. Risk Analysis : An Official Publication of the Society for Risk Analysis, 24(6), 1561–1574. https://doi.org/10.1111/J.0272-4332.2004.00550.X; Cameron, A. C., & Trivedi, P. K. (2005). Microeconometrics. In Microeconometrics. https://doi.org/10.1017/cbo9780511811241; Chen, G., & Tsurumi, H. (2011). Probit and logit model selection. Communications in Statistics - Theory and Methods, 40(1). https://doi.org/10.1080/03610920903377799; Coccia, M. (2020). An index to quantify environmental risk of exposure to future epidemics of the COVID-19 and similar viral agents: Theory and practice. Environmental Research, 29(4), 110–191. https://doi.org/10.1016/j.envres.2020.110155; Collins, L. M., & Lanza, S. T. (2010). Latent Class and Latent Transition Analysis: With Applications in the Social, Behavioral, and Health Sciences. In Latent Class and Latent Transition Analysis: With Applications in the Social, Behavioral, and Health Sciences. https://doi.org/10.1002/9780470567333; Cori, L., Donzelli, G., Gorini, F., Bianchi, F., & Curzio, O. (2020). Risk Perception of Air Pollution: A Systematic Review Focused on Particulate Matter Exposure. International Journal of Environmental Research and Public Health, 17(17), 1–27. https://doi.org/10.3390/IJERPH17176424; Daly, A., Hess, S., Patruni, B., Potoglou, D., & Rohr, C. (2012). Using ordered attitudinal indicators in a latent variable choice model: A study of the impact of security on rail travel behaviour. Transportation, 39(2). https://doi.org/10.1007/s11116-011-9351-z; Diffenbaugh, N. S., Field, C. B., Appel, E. A., Azevedo, I. L., Baldocchi, D. D., Burke, M., Burney, J. A., Ciais, P., Davis, S. J., Fiore, A. M., Fletcher, S. M., Hertel, T. W., Horton, D. E., Hsiang, S. M., Jackson, R. B., Jin, X., Levi, M., Lobell, D. B., McKinley, G. A., … Wong-Parodi, G. (2020). The COVID-19 lockdowns: a window into the Earth System. Nature Reviews Earth & Environment, 1(2), 470–481. https://doi.org/10.1038/s43017-020-0079-1; Drottz-Sjöberg, B.-M. (1991). Perception of risk: Studies of risk attitudes, perceptions and definitions. Risk Analysis, 11(4), 123–144. https://www.researchgate.net/publication/227446971_Perceived_Risk_Attitudes_Relating_Risk_Perception_to_Risky_Choice; Eslami, H., & Jalili, M. (2020). The role of environmental factors to transmission of SARS-CoV-2 (COVID-19). AMB Express, 10(1), 92. https://doi.org/10.1186/s13568-020-01028-0; Fabiani, J.-L., & Theys, J. (1987). La Société vulnérable - Evaluer et maîtriser les risques. Presses de l’École Normale Supérieure, 1(1), 678. https://ulysse.univ-lorraine.fr/discovery/fulldisplay?docid=alma991001404709705596&context=L&vid=33UDL_INST:UDL&adaptor=Local Search Engine&tab=Everything&mode=advanced; Fischhoff, B., Slovic, P., Lichtenstein, S., Read, S., & Combs, B. (1978). How safe is safe enough? A psychometric study of attitudes towards technological risks and benefits. Policy Sciences, 9(2), 127–152. https://doi.org/10.1007/BF00143739; Gany, F., Bari, S., Prasad, L., Leng, J., Lee, T., Thurston, G. D., Gordon, T., Acharya, S., & Zelikoff, J. T. (2017). Perception and reality of particulate matter exposure in New York City taxi drivers. Journal of Exposure Science & Environmental Epidemiology, 27(2), 221–226. https://doi.org/10.1038/JES.2016.23; Gigerenzer, G. (2015). Risk Savvy: How to Make Good Decisions - Gerd Gigerenzer (2015) - BehavioralEconomics.com %7C The BE Hub (Viking Penguin, Vol. 1). Penguin Group. https://www.behavioraleconomics.com/resources/books/risk-savvy-how-to-make-good-decisions-gerd-gigerenzer-2015/; Grima, S., Hamarat, B., Özen, E., Girlando, A., & Dalli-Gonzi, R. (2021). The Relationship between Risk Perception and Risk Definition and Risk-Addressing Behaviour during the Early COVID-19 Stages. Journal of Risk and Financial Management, 14(6). https://doi.org/10.3390/jrfm14060272; Hensher, D. A., Rose, J. M., & Greene, W. H. (2005). Applied choice analysis: A primer. In Cambridge University Press (Ed.), Applied Choice Analysis: A Primer. https://doi.org/10.1017/CBO9780511610356; Hess, S., & Palma, D. (2019). Apollo: A flexible, powerful and customisable freeware package for choice model estimation and application. Journal of Choice Modelling, 32. https://doi.org/10.1016/j.jocm.2019.100170; Huang, L., Rao, C., van der Kuijp, T. J., Bi, J., & Liu, Y. (2017). A comparison of individual exposure, perception, and acceptable levels of PM 2.5 with air pollution policy objectives in China. Environmental Research, 157, 78–86. https://doi.org/10.1016/J.ENVRES.2017.05.012; INS. (2018). Carga de enfermedad ambiental en Colombia. Instituto Nacional de Salud Pública de Colombia, 10(1), 96. https://www.ins.gov.co/Direcciones/ONS/Informes/10 Carga de enfermedad ambiental en Colombia.pdf; INS. (2022). COVID-19 en Colombia. Instituto Nacional de Salud Pública de Colombia, 1(1), 2. https://www.ins.gov.co/Noticias/paginas/coronavirus.aspx; Johnson, B. B., Swedlow, B., & Mayorga, M. W. (2019). Cultural theory and cultural cognition theory survey measures: confirmatory factoring and predictive validity of factor scores for judged risk. Journal of Risk Research, 23(11), 1467–1490. https://doi.org/10.1080/13669877.2019.1687577; Krupnick, A., Alberini, A., Cropper, M., Simon, N., O’Brien, B., Goeree, R., & Heintzelman, M. (2002). Age, health and the willingness to pay for mortality risk reductions: A contingent valuation survey of Ontario residents. Journal of Risk and Uncertainty, 24(4), 161–186. https://doi.org/10.1023/A:1014020027011; Kucharski, T.W., R., C., D., Y., L., J., E., S., F., & R.M., E. (2020). On behalf of the Centre for Mathematical Modelling of Infectious Diseases COVID-19 working group 2020. Early Dynamics of Transmission and Control of COVID-19: A Mathematical Modelling Study. Lancet Infect. Dis. 2020 Doi:10.1016/S1473-3099(20)30144-4., 2(5), 553–558. https://www.thelancet.com/article/S1473-3099(20)30144-4/fulltext; Lanza, S. T., & Rhoades, B. L. (2013). Latent Class Analysis: An Alternative Perspective on Subgroup Analysis in Prevention and Treatment. Prevention Science, 14(2). https://doi.org/10.1007/s11121-011-0201-1; Lawless, R., Douglas, M., & Wildavsky, A. (1983). Risk and Culture: An Essay on the Selection of Technological and Environmental Dangers. Environmental Review: ER, 7(2), 224. https://doi.org/10.2307/3984511; Li, F., & Zhou, T. (2020). Effects of objective and subjective environmental pollution on well-being in urban China: A structural equation model approach. Social Science & Medicine (1982), 249. https://doi.org/10.1016/J.SOCSCIMED.2020.112859; Li, X., Song, Y., Wong, G., & Cui, J. (2020). Bat origin of a new human coronavirus: there and back again. Science China Life Sciences, 63(3), 461–462. https://doi.org/10.1007/s11427-020-1645-7; Malmendier, U., & Nagel, S. (2011). Depression Babies: Do Macroeconomic Experiences Affect Risk Taking? Quarterly Journal of Economics, 126(1), 373–416. https://doi.org/10.1093/qje/qjq004; Manski, C. F. (1977). The structure of random utility models. Theory and Decision, 8(3), 229–254. https://doi.org/10.1007/BF00133443; Mariel, P., Hoyos, D., Meyerhoff, J., Czajkowski, M., Dekker, T., Glenk, K., Jacobsen, J. B., Liebe, U., Olsen, S. B., Sagebiel, J., & Thiene, M. (2021). Environmental Valuation with Discrete Choice Experiments. Springer Nature, 62–96. https://doi.org/10.1007/978-3-030-62669-3); Martelletti, L., & Martelletti, P. (2020). Air Pollution and the Novel Covid-19 Disease: a Putative Disease Risk Factor. SN Comprehensive Clinical Medicine, 4(2), 10–25. https://doi.org/10.1007/s42399-020-00274-4; McFadden, D. (1986). The Choice Theory Approach to Market Research. Marketing Science, 5(4), 275–297. https://doi.org/10.1287/mksc.5.4.275; Mirabelli, M. C., Ebelt, S., & Damon, S. A. (2020). Air Quality Index and air quality awareness among adults in the United States. Environmental Research, 183. https://doi.org/10.1016/J.ENVRES.2020.109185; Nelson, J. W., Scammell, M. K., Altman, R. G., Webster, T. F., & Ozonoff, D. M. (2009). A New Spin on Research Translation: The Boston Consensus Conference on Human Biomonitoring. Environmental Health Perspectives, 117(4), 495. https://doi.org/10.1289/EHP.0800037; OMS. (2020). Las 10 principales causas de defunción. Organización Mundial de La Salud, 1(1), 1–2. https://www.who.int/es/news-room/fact-sheets/detail/the-top-10-causes-of-death; OMS. (2022). Calidad del aire - OPS/OMS %7C Organización Panamericana de la Salud. Organización Mundial de La Salud, 1(1), 1–2. https://www.paho.org/es/temas/calidad-aire; Palacios, I. H., & Santos, T. J. (2004). A theory of markets, institutions, and endogenous preferences. Journal of Public Economics, 88(3), 601–627. https://doi.org/10.1016/S0047-2727(02)00162-7; Pérez-Cardenas, J. E. (2017). La calidad del aire en Colombia: un problema de salud pública, un problema de todos. Biosalud, 16(2), 5–6. https://doi.org/10.17151/BIOSA.2017.16.2.1; Pidgeon, N. (1998). Risk assessment, risk values and the social science programme: why we do need risk perception research. Reliability Engineering & System Safety, 59(1), 5–15. https://doi.org/10.1016/S0951-8320(97)00114-2; Potoglou, D., Palacios, J. F., & Feijóo, C. (2015). An integrated latent variable and choice model to explore the role of privacy concern on stated behavioural intentions in e-commerce. Journal of Choice Modelling, 17. https://doi.org/10.1016/j.jocm.2015.12.002; Raveau, S., Álvarez-Daziano, R., Yáñez, M. F., Bolduc, D., & De Dios Ortúzar, J. (2010). Sequential and simultaneous estimation of hybrid discrete choice models: Some new findings. Transportation Research Record, 2156(1), 131–139. https://doi.org/10.3141/2156-15; Reames, T. G., & Bravo, M. A. (2019). People, place and pollution: Investigating relationships between air quality perceptions, health concerns, exposure, and individual- and area-level characteristics. Environment International, 122, 244–255. https://doi.org/10.1016/J.ENVINT.2018.11.013; Renn, O. (2004). Perception of risks. Toxicology Letters, 149(1–3), 405–413. https://doi.org/10.1016/J.TOXLET.2003.12.051; Rojas-Rueda, D., Morales-Zamora, E., Alsufyani, W. A., Herbst, C. H., AlBalawi, S. M., Alsukait, R., & Alomran, M. (2021). Environmental risk factors and health: An umbrella review of meta-analyses. International Journal of Environmental Research and Public Health, 18(2), 74–200. https://doi.org/10.3390/ijerph18020704; Ropeik, D. (2020). Understanding factors of risk perception. Nieman Reports, 56(4), 52. https://niemanreports.org/articles/understanding-factors-of-risk-perception/; Rosa, E. A., Renn, O., & McCright, A. M. (2013). The risk society revisited: Social theory and governance. The Risk Society Revisited: Social Theory and Governance, 1–234. https://doi.org/10.1177/0094306117714500GG; Rosenzweig, M. R., & Binswanger, H. P. (1993). Wealth, weather risk and the composition and profitability of agricultural investments. Economic Journal, 103(416), 56–78. https://doi.org/10.2307/2234337; Savadori, L., & Lauriola, M. (2021). Risk Perception and Protective Behaviors During the Rise of the COVID-19 Outbreak in Italy. Frontiers in Psychology, 11. https://doi.org/10.3389/fpsyg.2020.577331; SCOPE. (1980). Environmental risks. Comité Científico de Problemas Del Medio Ambiente, 1(1), 1–14. https://scope.dge.carnegiescience.edu/SCOPE_15/SCOPE_15_1.1_chapter1_1-14.pdf; Semenza, J. C., Wilson, D. J., Parra, J., Bontempo, B. D., Hart, M., Sailor, D. J., & George, L. A. (2008). Public perception and behavior change in relationship to hot weather and air pollution. Environmental Research, 107(3), 401–411. https://doi.org/10.1016/J.ENVRES.2008.03.005; Slovic, P., Peters, E., Finucane, M. L., & MacGregor, D. G. (2005). Affect, risk, and decision making. Health Psychology : Official Journal of the Division of Health Psychology, American Psychological Association, 24(4S). https://doi.org/10.1037/0278-6133.24.4.S35; Szumilas, M. (2010). Explaining Odds Ratios. Journal of the Canadian Academy of Child and Adolescent Psychiatry, 19(3), 227–229. /pmc/articles/PMC2938757/; Tilt, B. (2006). Perceptions of Risk from Industrial Pollution in China: a Comparison of Occupational Groups. Human Organization, 65(2), 115–127. https://doi.org/10.17730/HUMO.65.2.69DUFCR1HATNPU5V; Ueberham, M., Schlink, U., Dijst, M., & Weiland, U. (2019). Cyclists’ Multiple Environmental Urban Exposures—Comparing Subjective and Objective Measurements. Sustainability 2019, Vol. 11, Page 1412, 11(5), 1412. https://doi.org/10.3390/SU11051412; Varela, J. M. (2018). Parameter bias in misspecified Hybrid Choice Models: An empirical study. Transportation Research Procedia, 33(12), 99–106. https://doi.org/10.1016/j.trpro.2018.10.081; Voors, M. J., Nillesen, E. E. M., Verwimp, P., Bulte, E. H., Lensink, R., & Van Soest, D. P. (2012). Violent conflict and behavior: A field experiment in Burundi. American Economic Review, 102(2), 941–964. https://doi.org/10.1257/aer.102.2.941; Walker, J., & Ben-Akiva, M. (2002). Generalized random utility model. Mathematical Social Sciences, 43(3), 303–343. https://doi.org/10.1016/S0165-4896(02)00023-9; Wen, X. J., Balluz, L., & Mokdad, A. (2009). Association between media alerts of air quality index and change of outdoor activity among adult asthma in six states, BRFSS, 2005. Journal of Community Health, 34(1), 40–46. https://doi.org/10.1007/S10900-008-9126-4; Wildavsky, A., & Dake, K. (1990). Theories of Risk Perception: Who Fears What and Why? Bioethics Research Library of the Kennedy Institute of Ethics, 119(4), 41–60. http://hdl.handle.net/10822/840519; Williams, G. A., & Kibwoski, F. (2016). Latent Class Analysis and Latent Profile Analysis Glenn A . Williams Leeds Beckett University , United Kingdom Fraenze Kibowski Nottingham Trent University , United Kingdom This is a draft of a chapter that has been accepted for publication by Oxford Univ. Handbook of Methodological Approaches to Community-Based Research: Qualitative, Quantitative, and Mixed Methods, 4(13), 143–151. http://irep.ntu.ac.uk/id/eprint/35496/1/12946_Williams.pdf; Yun, K., Lurie, N., & Hyde, P. S. (2010). Moving mental health into the disaster-preparedness spotlight. The New England Journal of Medicine, 363(13), 1193–1195. https://doi.org/10.1056/NEJMP1008304; https://repositorio.unal.edu.co/handle/unal/85520; Universidad Nacional de Colombia; Repositorio Institucional Universidad Nacional de Colombia; https://repositorio.unal.edu.co/

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    Dissertation/ Thesis

    المساهمون: Orrego Suaza, Sergio Alonso

    وصف الملف: application/pdf

    Relation: Universidad Nacional de Colombia Sede Medellín Facultad de Ciencias Humanas y Económicas Escuela de Economía; Escuela de Economía; Jiménez Narváez, Darío Felipe (2015) Estimación de la demanda de agua para uso residencial urbano en la ciudad de Manizales, Colombia, bajo escenarios contrastantes de cambio climático. Maestría thesis, Universidad Nacional de Colombia - Sede Medellín.; https://repositorio.unal.edu.co/handle/unal/55513; http://bdigital.unal.edu.co/50937/

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    Dissertation/ Thesis

    المؤلفون: Ramírez Sosa, Cristian David

    المساهمون: Orrego Suaza, Sergio Alonso

    وصف الملف: application/pdf

    Relation: Universidad Nacional de Colombia Sede Medellín Facultad de Minas Escuela de Geociencias y Medio Ambiente; Escuela de Geociencias y Medio Ambiente; Ramírez Sosa, Cristian David (2014) Determinantes espacialmente explícitos de transiciones en coberturas terrestres con significativo impacto para la provisión de servicios ecosistémicos: análisis temporal y espacial, 1986-2012. Maestría thesis, Universidad Nacional de Colombia Sede Medellín.; https://repositorio.unal.edu.co/handle/unal/75033; http://bdigital.unal.edu.co/39529/

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    Dissertation/ Thesis

    المؤلفون: Restrepo Orozco, Héctor Iván

    المساهمون: Orrego Suaza, Sergio Alonso

    وصف الملف: application/pdf

    Relation: Universidad Nacional de Colombia Sede Medellín Facultad de Ciencias Agropecuarias Departamento de Ciencias Forestales; Departamento de Ciencias Forestales; Restrepo Orozco, Héctor Iván (2010) Estimación del rendimiento forestal con información espacialmente explícita y análisis financiero de plantaciones forestales en Colombia. Maestría thesis, Universidad Nacional de Colombia - Sede Medellín.; https://repositorio.unal.edu.co/handle/unal/53958; http://bdigital.unal.edu.co/48699/