scholarly journals Calculating Marginal and Non-marginal Welfare Measures

2020 ◽  
pp. 103-110
Author(s):  
Petr Mariel ◽  
David Hoyos ◽  
Jürgen Meyerhoff ◽  
Mikolaj Czajkowski ◽  
Thijs Dekker ◽  
...  
Keyword(s):  
Preference Heterogeneity ◽  
Random Parameters ◽  
Interaction Terms ◽  
Welfare Measures

AbstractThis chapter focuses on the calculation of marginal and non-marginal welfare measures. It outlines how the calculation of welfare measures is related to the specified model and the assumptions underlying that model. It further describes how the calculation of these measures is affected by the inclusion of preference heterogeneity, including the incorporation of interaction terms to capture observed preference heterogeneity or random parameters to capture unobserved preference heterogeneity. Finally, it discusses how these measures can be aggregated and compared.

scholarly journals Preference Heterogeneity in a Count Data Model of Demand for Off-Highway Vehicle Recreation

2010 ◽  
Vol 39 (1) ◽  
pp. 75-88 ◽  
Author(s):  
Thomas P. Holmes ◽  
Jeffrey E. Englin
Keyword(s):  
North Carolina ◽  
Data Model ◽  
Consumer Surplus ◽  
Poisson Model ◽  
Random Parameter ◽  
Preference Heterogeneity ◽  
Random Parameters ◽  
Substantial Evidence ◽  
Data Set ◽  
Forest Sites

This paper examines heterogeneity in the preferences for OHV recreation by applying the random parameters Poisson model to a data set of off-highway vehicle (OHV) users at four National Forest sites in North Carolina. The analysis develops estimates of individual consumer surplus and finds that estimates are systematically affected by the random parameter specification. There is also substantial evidence that accounting for individual heterogeneity improves the statistical fit of the models and provides a more informative description of OHV riders.

scholarly journals Congestion management in protected areas: accounting for respondents’ inattention and preference heterogeneity in stated choice data

2018 ◽  
Vol 46 (5) ◽  
pp. 834-861 ◽  
Author(s):  
Mara Thiene ◽  
Cristiano Franceschinis ◽  
Riccardo Scarpa
Keyword(s):  
Protected Areas ◽  
Latent Class ◽  
Congestion Management ◽  
Model Fit ◽  
Destination Choice ◽  
Preference Heterogeneity ◽  
Stated Choice ◽  
Random Parameters ◽  
Choice Data ◽  
Traditional Approaches

Abstract Congestion levels in protected areas can be predicted by destination choice models estimated from choice data. There is growing evidence of subjects’ inattention to attributes in choice experiments. We estimate an attribute non-attendance latent class–random parameters model (LC–RPL) that jointly handles inattention and preference heterogeneity. We use data from a choice experiment designed to elicit visitors’ preferences towards sustainable management of a protected area in the Italian Alps. Results show that the LC–RPL model produces improvements in model fit and reductions in the implied rate of inattention, as compared to traditional approaches. Implications of results for park management authorities are discussed.

Marginal Changes in Random Parameters Ordered Response Models with Interaction Terms

2011 ◽  
Vol 30 (5) ◽  
pp. 565-576 ◽  
Author(s):  
Andreas C. Drichoutis ◽  
Rodolfo M. Nayga
Keyword(s):  
Random Parameters ◽  
Response Models ◽  
Interaction Terms ◽  
Ordered Response

The physical toxicity of chemicals. V. Interaction terms for solubilities and partition coefficients

1966 ◽  
Vol 16 (3) ◽  
pp. 99-102
Author(s):  
J. C. McGowan ◽  
P. N. Atkinson ◽  
L. H. Ruddle
Keyword(s):  
Partition Coefficients ◽  
Interaction Terms

A Comparative Study of Effectiveness of Statutory Employee Welfare Measures - With Special Reference to Canteen Facility in Sugar Mills in Krishna District of Andhra Pradesh

2018 ◽  
Vol 6 (11) ◽  
pp. 156
Author(s):  
M Srinivasa Rao ◽  
G. Vidyanath
Keyword(s):  
Comparative Study ◽  
Special Reference ◽  
Andhra Pradesh ◽  
Well Being ◽  
Employee Welfare ◽  
Sugar Mills ◽  
Welfare Measures ◽  
Individual Needs

The existing research is created an effort to recognize the worker well being actions implemented in Sugar Miles industry. Employee well being indicates anything done for comfortableness and enhancement of the employees over and above the salaries compensated which is not a requirement of the profession. The standard objective of employee well being is to enhance the lifestyle of workers and keep them satisfied. Employees invest at least half their time at your workplace or getting to it, or making it. They know that they play a role to the organization when they are reasonably exempt from fear and they experience that when they are in trouble/ problems, they are due to get something returning from the company. Individuals are qualified for be treated as complete humans with individual needs, desires and stresses.

A Study On Labour Welfare Measures In Chettinad Cement Corporation Limited - With Special Reference To Puliyur, Karur District, Tamilnadu

2019 ◽  
Vol 118 (12) ◽  
pp. 1-6
Author(s):  
V. Muruganandham ◽  
Dr. M. Ragupathi
Keyword(s):  
Special Reference ◽  
International Labour Organisation ◽  
Regional Conference ◽  
Welfare Measures ◽  
Labour Organisation

International Labour Organisation (ILO) at its Asian regional Conference, defined labour welfare as a term which is understood to include such services, facilities and amenities as may be established in o in the vicinity of undertaking to enable the person employed in them to perform their work in healthy, and high morale.

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