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The Efficiency of Poultry Farms: A Dynamic Analysis Based on a Stochastic Frontier Approach and Panel Data. [PDF]
Animals (Basel)Forleo MB +4 more
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Association between frailty status and depression among older adults: panel data analysis of three longitudinal cohort studies. [PDF]
BMC Public HealthZhong S, He L, Yi F, Li H, Hua X.
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Unleashing new quality productivity for rural revitalization: a spatial panel data analysis of 282 cities in China. [PDF]
Sci RepZhou JH, Kong WL, Wang XB, Zhang ZF.
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Dynamic identity management in online health communities: How illness stage moderates the effects of anonymity - A longitudinal panel data analysis. [PDF]
Digit HealthYang Y, Wu H.
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Assessing the socioeconomic and environmental determinants of flood vulnerability in India: a panel data approach. [PDF]
Sci RepFelix KT +3 more
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2021
Panel data is a regression analysis type that uses time data and spatial data. Thus, the behavior of groups, for example, enterprises or communities, is analyzed through a time scale. Panel data allows exploring variables that cannot be observed or measured or variables that evolve over time but not across groups or communities.
Vera Costa, Rui Portocarrero Sarmento
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Panel data is a regression analysis type that uses time data and spatial data. Thus, the behavior of groups, for example, enterprises or communities, is analyzed through a time scale. Panel data allows exploring variables that cannot be observed or measured or variables that evolve over time but not across groups or communities.
Vera Costa, Rui Portocarrero Sarmento
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The Singapore Economic Review, 2005 We explain the proliferation of panel data studies in terms of (i) data availability; (ii) the heightened capacity for modeling the complexity of human behavior than a single cross-section or time series data can possibly allow; and (iii) challenging methodology. Advantages and issues of panel data modeling are also discussed.
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2015
This paper surveys panel data methods for count dependent variable that takes nonnegative integer values, such as number of doctor visits. The focus is on short panels, as the literature has concentrated on this case. The survey covers both static and dynamic models with random and xed e ects. The paper surveys quasi-ML methods based on the Poisson, as
Cameron, Colin, Trivedi, Pravin K.
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This paper surveys panel data methods for count dependent variable that takes nonnegative integer values, such as number of doctor visits. The focus is on short panels, as the literature has concentrated on this case. The survey covers both static and dynamic models with random and xed e ects. The paper surveys quasi-ML methods based on the Poisson, as
Cameron, Colin, Trivedi, Pravin K.
openaire +2 more sources
Proceedings of the ACM Conference on Global Computing Education, 2019
This panel brings the workings and results of the ACM Education Council Task Force on Data Science Education. The task force has gathered information on existing programs and has reviewed documents such as the result of the National Academies deliberations on data science.
Lillian N. Cassel, Hongzhi Wang 0001
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This panel brings the workings and results of the ACM Education Council Task Force on Data Science Education. The task force has gathered information on existing programs and has reviewed documents such as the result of the National Academies deliberations on data science.
Lillian N. Cassel, Hongzhi Wang 0001
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Unbalanced panel data: A survey
Statistical Papers, 2006zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Baltagi, Badi H., Song, Seuck Heun
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