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Multilevel Models with Stochastic Volatility for Repeated Cross-Sections: an Application to tribal Art Prices [PDF]
, 2016 In this paper we introduce a multilevel specification with stochastic volatility for repeated cross-sectional data. Modelling the time dynamics in repeated cross sections requires a suitable adaptation of the multilevel framework where the individuals ...
Cagnone, Silvia +2 more
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brms: An R Package for Bayesian Multilevel Models Using Stan
Journal of Statistical Software, 2017 The brms package implements Bayesian multilevel models in R using the probabilistic programming language Stan. A wide range of distributions and link functions are supported, allowing users to fit - among others - linear, robust linear, binomial ...
Paul-Christian Bürkner
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, 2015 Purpose: Although both the job and its broader context are likely to drive motivation, little is known about the specific workplace characteristics that are important for motivation.
Karanika-Murray, M, Michaelides, G
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R2MLwiN: A Package to Run MLwiN from within R
Journal of Statistical Software, 2016 R2MLwiN is a new package designed to run the multilevel modeling software program MLwiN from within the R environment. It allows for a large range of models to be specified which take account of a multilevel structure, including continuous, binary ...
Zhengzheng Zhang +4 more
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Valuation of Urban Parks Under the Three-Level Park System in Shenzhen: A Hedonic Analysis
LandUrban parks play a pivotal role in fostering ecologically advanced cities in China, contributing significantly to enhancing urban environments and the overall quality of life for residents. However, their value is often hard to quantify by urban planners
Xun Li +4 more
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Frontiers in Psychology, 2019 This research examines the relationship between trait mindfulness of managers and job performance of their subordinates. We hypothesized that both are positively associated and that this association exist when personality variables are controlled for. We
Ladislav Zalis +3 more
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Chapter 20: What do interviewers learn? Changes in interview length and interviewer behaviors over the field period. Appendix 20 [PDF]
, 2020 Appendix 20A Full Model Coefficients and Standard Errors Predicting Count of Questions with Individual Interviewer Behaviors, Two-level Multilevel Poisson Models with Number of Questions Asked as Exposure Variable, WLT1 and WLT2 Analytic strategyTable ...
Olson, Kristen M., Smyth, Jolene
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X Matters Too: How the Blended Slope Problem Manifests Differently in Unilevel vs. Multilevel Models
Methodology, 2023 Aside from multilevel models (MLMs), several analytic approaches are available for handling cluster-induced dependencies. Nevertheless, the literature on MLM alternatives has called less explicit attention to the potential bias in level-1 (L1) slope ...
Elizabeth A. Sanders, Timothy R. Konold
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Demographic Research, 2019 Background: When analysing effects of maternal age on child outcomes, many researchers estimate sibling models to control for unobserved factors shared between siblings.
Øystein Kravdal
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On proximity and hierarchy : exploring and modelling space using multilevel modelling and spatial econometrics [PDF]
, 2009 Spatial econometrics and also multilevel modelling techniques are increasingly part of the regional scientists‟ toolbox. Both approaches are used to model spatial autocorrelation in a wide variety of applications. However, it is not always clear on which
Parenti, Angela, Vanoutrive, Thomas
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