chisel
发表于 2025-3-28 15:10:20
Computational Methods in Econometrics,ionally infeasible and vice versa. Computational methods in econometrics are evolving over time to reflect the current technological boundaries as defined by available computer hardware and software capabilities at a particular period, and hence are inextricably linked with determining what the state of the art is in econometric methodology.
Debility
发表于 2025-3-28 18:50:14
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导师
发表于 2025-3-29 00:44:27
Longitudinal Data Analysis,e importantly, by blending inter-individual differences with intra-individual dynamics, panel data allow the investigation of more complicated behavioural hypotheses than those that can be addressed using cross-sectional or time-series data.
FEAT
发表于 2025-3-29 05:45:14
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harbinger
发表于 2025-3-29 10:11:06
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persistence
发表于 2025-3-29 13:20:36
Field Experiments,t, allowing us to establish causality rather than mere correlation. In relation to a laboratory experiment, a field experiment potentially gives up some of the control that a laboratory experimenter may have over her environment in exchange for increased realism.
octogenarian
发表于 2025-3-29 17:51:30
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Physiatrist
发表于 2025-3-29 21:40:59
Logit Models of Individual Choice, used in applied work to estimate models for binary variables, even though the development of semiparametric and nonparametric alternatives since the mid-1970s has been intensive (Horowitz and Savin, 2001).
缝纫
发表于 2025-3-30 03:41:33
Mixture Models,.... from ... We can view this as a missing data problem in that the ‘full data’ consists of pairs (..,Θ.),…, (..,Θ.), with Θ. ∼ Q and X.|Θ. = . ∼ .., but then only the first member X. of each pair is observed; the labels Θ. are hidden.
frugal
发表于 2025-3-30 05:50:11
Edward E. Leameropment using literature review and classification of articles from 1970–2010 with keyword index in order to explore how technology planning methodologies and applications has developed in this period. The main content of the chapter is related to the works published in leading international journals