1,721,273 research outputs found
sj-pdf-1-ssc-10.1177_08944393211073585 – Supplemental Material for Response Times and Subjective Complexity of Food Choices: A Web-Based Experiment Across 3 Countries
Supplemental Material, sj-pdf-1-ssc-10.1177_08944393211073585 for Response Times and Subjective Complexity of Food Choices: A Web-Based Experiment Across 3 Countries by Rossella Atzori, Andrea Pellegrini, Ginevra V. Lombardi, and Riccardo Scarpa in Social Science Computer Review</p
Experimental designs for environmental valuation with choice-experiments: A Monte Carlo investigation
We review the practice of experimental design in the environmental economics literature concerned with choice experiments. We then contrast this with advances in the field of experimental design and present a comparison of statistical efficiency across four different experimental designs evaluated by Monte Carlo experiments. Two different situations are envisaged. First, a correct a priori knowledge of the multinomial logit specification used to derive the design and then an incorrect one. The data generating process is based on estimates from data of a real choice experiment with which preference for rural landscape attributes were studied. Results indicate the D-optimal designs are promising, especially those based on Bayesian algorithms with informative prior. However, if good a priori information is lacking, and if there is strong uncertainty about the real data generating process - conditions which are quite common in environmental valuation - then practitioners might be better off with conventional fractional designs from linear models. Under misspecification, a design of this type produces less biased estimates than its competitors
Quanto ci si può fidare delle stime ottenute con i Choice Models?
In this study we compare two specifications of logit models for the analysis of discrete choices from the same sample. The first specification is a conditional logit model, while the second is a more flexible panel model with random parameters that does not imply the restrictive assumption of independence of irrelevant alternatives and allows the researcher to derive individual estimates of WTP. The estimates of the two models appear different with different interpretative approach. This gives us the opportunity to examine in some depth the consequences of various hypotheses on the final estimation results of similar analysis
Designs with a-priori information for nonmarket valuation with choice-experiments: a Monte Carlo study
Good practice in experimental design is essential for choice experiments used in nonmarket valuation. We review the practice of experimental design for choice experiments in environmental economics and we compare it with advances in experimental design. We then evaluate the statistical efficiency of four different designs by means of Monte Carlo experiments. Correct and incorrect specifications are investigated with gradually more precise information on the true parameter values. The data generating process (DGP) is based on estimates from data of a real study. Results indicate that D-efficient designs are promising, especially when based on Bayesian algorithms with informative prior. However, if good quality a priori information is lacking, and if there is strong uncertainty about the real DGP—conditions which are quite common in environmental valuation—then practitioners might be better off with shifted designs built from conventional fractional factorial designs for linear models
The influence of individuals in forming collective household preferences for water quality
Preference for water quality and its nonmarket valuation can be used to inform the development of pricing policies and long term supply strategies. Tap water quality is a household concern. The objective status quo of water provision varies between households and not between individuals within households, while charges are levied on households not individuals. Individual preferences differ from collective preferences. In households where there are two adults, we examine the preferences of each separately and then as a couple in collective decisions. We show the level of influence each has in developing the collective decision process. We use discrete choice experiments to model preference heterogeneity across three experiments on women, men and on both. We propose a random utility model which decomposes the error structure in the utility of alternatives so as to identify the individual influence in collective decisions. This approach to choice data analysis is new to environmental economics
Going Beyond Counting First Authors in Author Co-citation Analysis
The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
We provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Organic food choices and Protection Motivation Theory: addressing the psychological sources of heterogeneity
Addressing generic preference heterogeneity for foods has been shown to improve statistical model fit, but it is relatively poor in terms of insights as to the sources of heterogeneity. The study presents various results from latent class analysis of stated choice data of food choice using carrots as a prototype. We evaluate the coherence of the underlying preference structure using as criteria the psychological constructs used in Protection Motivation Theory (PMT) (Roger, 1975) elicted by means of attitudinal responses. We estimate latent classes based on such responses using both simultaneous and two-stage procedures. The latter performs a segmentation more in line with expectations derived from PMT, in terms of both the number of classes and their preference structures. While simultaneous estimation improves the statistical fit it yields class structures that appear less reasonable
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