Scope insensitivity and mental accounting

Time tacts life. While all human face the same natural constraints of 24-hours days, behavioral economics found individuals differing in discounting preference for immediate rewards over delayed gratification. Regarding monetary gains, individuals were also shown to hold mental accounts dependent on a reference point but also in regards as to how to allocate money to causes individuals care about. But what if individuals also differ in mental temporal accounts, hence regarding how to spend their time? Decision makers may have natural mental temporal accounts for how to spend 24 hours a day, 720 hours a month, 8760 hours a year or 700800 hours an average life? Could it be that individuals have implicit mental accounts for how much time to spend on their own, how much time to be allocated towards working and how much time to just enjoy life in leisure? If so, could individuals be susceptible to external cues that nudge them into certain mental time-frames that determine their mental time allocation preferences? Could this mental accounting also depend on reference points, such as the age of the individual and critical life events, such as becoming parents? If individuals differ in time spent on their own and social time but also vary in their choices of time spent working and leisure time, we would need to revise contract theory’s primary focus on incentivizing with monetary gains and call for attention to a natural mental temporal accounting trade-off decision between work and leisure time. By doing so we could show that the classical mental accounting theory (Thaler, 1999) actually describes similar processes as mental temporal accounting how to spend time but also dependent on the reference point of age. The paper is structured as follows: The theoretical part 2 describes the behavioral economics idea of mental accounting in the finance domain (Section 2.1) as well as hyperbolic discounting deviations from standard neoclassical discounting functions (Section 2.2.) in order to extend these concepts in the domain of time in Section 2.3. Part 3 proposes to study (1) whether mental accounting also occurs for time; (2) time allocation preferences based on economic, social and environmental contexts as well as age; (3) how individuals can be nudged into different time allocation preferences based on specific mindsets. Part 4 discusses the results and calls for an opening of (1) the behavioral economics idea of the classical mental accounting theory (Thaler, 1999) (2) connecting it to mental temporal accounting as well as (3) neoclassical contract theory for work-leisure time trade-offs alongside providing future research prospects. Elucidating how contexts and experiencing critical life stages influence temporal activity allocation choices promises to improve manifold decisions on education, health, asset management, career paths and common goods preservation throughout life.

Scope insensitivity and embedding are fundamental concerns in contingent valuation studies for health risk reductions. Recently, choice experiments have increasingly been used to obtain contingent willingness to pay (WTP) estimates. We juxtapose the WTP estimates of a choice experiment (CE) to those of the contingent valuation method (CVM) for different health risk reductions and compare them in the extent of scope insensitivity and embedding. WTP using CVM is scope sensitive for single health risks, but embedding is observed for multiple disease risks. In contrast, WTP based on the CE is highly scope sensitive and convex in risk reduction levels.

Scope Insensitivity - Behavioral Elucidation or Mental Accounting?

The proper valuation of non-market environmental co mm odities has significant policy implications. Environmental valuation is also imp ortant in the event of natural disasters, either man-made or naturally occurrin g. The economic valuation of non-market environmental goods or ecosystem servi ces has been becoming a research frontier and hotspot field of ecological econom ics and environmental economics. Non-market valuation techniques should be appl ied to measure their economic value because of the public goods properties of mo st environmental goods or ecosystem services.Non-market valuation techniques can be broadly classified into two categories: revealed preference (RP) approaches and stated (or expressed) preference (SP) ap proaches. Stated preference methods attempt to elicit environmental values direc tly from respondents using survey techniques, hence the alternative name of “di rect approach”. Stated preference methods can be further classified into two ca tegories: contingent valuation method (CVM), and choice experiment. The CVM is t he most significant approach of non-market valuation technique and has been usi ng most widely. CVM is a direct interview approach that can be used to provide acceptable measu res of the economic value of environmental goods or ecosystem services. The CVM uses interview techniques ask individuals to place values on environmental goods or ecosystem services. The term “contingent” in CVM suggests that it is conti ngent on simulating a hypothetical market for the good in question. The most com mon approach in the CVM is to ask individuals the maximum amount of money they a re willingness to pay(WTP)to use or to preserve the given good or service. Alt ernatively, the respondents could be asked the minimum amount of money they are willingness to accept in compensation (WTA) to forgo the given environmental goo d or service. Theoretically, these two measures should be equivalent. However, s ome empirical studies have indicated that WTA estimates exceed WTP estimates, th is is maybe due to the feelings that the cost they loss the given good or servic e is more than the benefit they get the given good or service.This paper introduced the concept of CVM and the status of its development and a pplication, analyzed the significance of CVM in environmental evaluation methods and its theoretical underpinning, summarized the available elicitation techniqu es or the question formats that acquire maximum WTP, assembled together various biases and their solutions, and introduced briefly the statistical analysis meth ods of contingent valuation (CV) survey data, especially the dichotomous choices data.In recent years, increasing attention has been given to the statistical aspects of CV survey design and data analysis. The main reason for the growing interests in statistical issues is the shift in CV practice from using open-ended questi on to ask about WTP to using a close-ended question format. With the close-end ed question format, the CV responses are not money amount but answers of “yes” or “no”, and one obtains a WTP value from these responses by introducing a st atistical model that links them to the money amounts that people faced in the su rvey. The theory and practice research of CVM in China was almost equal to naught. Fin ally, the urgent research need of CVM in China was pointed out because of the ne ed of green environmental and economic accounting and sustainable development as sessment.

The Individual Anomalies and Aggregate Impacts of Households’ Consumption and Savings Decisions

Contingent valuation method (CVM) is widely applied to value environmental goods and services. Initially developed in developed countries, CVM now is also widely applied in developing countries. However, in many cases, value estimates from CVM studies carried out in developing countries are smaller than expectations. One possible explanation for this phenomenon is that people in developing countries may have different preferences toward environmental goods and services. Another explanation argues that it is effect of poverty on the valuation, i.e., effect of limited income instead of deficiencies in preferences. A suggestion to resolve the problem according to the latter argument is by using nonmonetary contribution as payment vehicle. Following this argument, this paper reports result of CVM surveys using working time without pay (or called willingness to work, WTW) in addition to standard monetary contribution (or called willingness to pay, WTP) implemented for a contingent scenario to avoid deforestation and forest degradation in Segah watershed in Berau District, East Kalimantan, Indonesia. Both WTP and WTW are elicited in open-ended format, i.e., directly asking respondents about their maximum contributions for the proposed program. Results show that in terms of WTP, respondents’ average benefit from the proposed project is Rp124,088 for onetime payment, whereas average WTW is 20.25 days per year. When WTW is converted to WTP using casual daily wage, it turns out that WTW is 8.15 times higher than WTP. The results confirm findings of previous studies that value estimated in terms of WTW is substantially higher than WTP. In addition, among similar sets of socioeconomic and forest use variables, variables of income, gender, family having baby, living in mixed tribe villages, and extent of using river services are significant determinants for WTP, whereas migration, living in mixed tribe villages, extent of using forests, practicing ritual related to forests, having gardens located in forests, and belief in the scenario applicability are significant determinants for WTW. Although determinants of the WTP and WTW are found to be different, in general the variables exhibit expected signs, which shows validity of the model. Therefore, the finding supports for using nonmonetary contribution for CVM study implemented in developing countries, especially in community with limited cash income.

Contingent Valuation of Environmental Goods: A Comprehensive Critique, edited by DanielMcFadden and KennethTrain. Published by Edward Elgar Publishing, Cheltenham, United Kingdom, 2017, pp. 319, ISBN: 978‐1‐78643‐468‐5, AU$210.

This paper introduces Mental Temporal Accounting – the behavioral economics application of mental accounting in the time domain. While most discounting studies are in the finance domain, social and environmental components have not gotten as much attention as appearing to require based on the novel perspectives this research grants. Theoretically we may also derive conclusions for contact theory and point at opening monetary gains focuses to social and environmental cues that may nudge people to perceive time differently and act on it accordingly. As mental accounting was successfully introduced to be extendable onto time, traditional mental accounting theory (Thaler, 1999) should be revisted for attention to time discounting in the social and environmental spheres alongside the economic attention. Elucidating how contexts and experiencing critical life stages of parenthood influence temporal activity allocation choices promises to improve manifold decisions on education, health, asset management, career paths and common goods preservation throughout life for this generation and the following.

The theory of mental accounting is often used to understand how people evaluate multiple outcomes or events. However, a model predicting which outcomes are associated with the same mental account and evaluated jointly, versus different accounts and evaluated separately, has remained elusive. We develop a framework that incorporates an online, bottom-up process of similarity and categorization into mental accounting operations. In this categorization-based model of mental accounting, outcomes that overlap on salient attributes are automatically categorized and assigned to the same mental account while outcomes that do not overlap on salient attributes are assigned to different accounts. We use this model to derive the hedonic accounting hypothesis, which generates testable behavioral predictions on people's preferences over the timing of outcomes given similarity-based constraints on mental accounting operations. Six studies provide support for the predictions: People prefer to experience similar losses close together in time and spread dissimilar losses apart; the reverse is true for gains, with a preference for dissimilar gains close together in time and similar gains spread apart across time. Importantly, our model is able to rationalize prior evidence that has found only limited support for the predictions of mental accounting and hedonic editing. Once the psychological process of similarity and categorization is explicitly incorporated into a formal model of mental accounting, its predictions are supported by the data. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

Objective - The objective of this study is to observe the mental accounting of managers when choosing between aggregate or disaggregate items in income statements. Managers who experience mental accounting may behave opportunistically because they may consider cost-benefits based on which of the two has a higher utility. Methodology/Technique - The analytical tools used in this research include a descriptive statistical analysis and the Analytical Hierarchy Process (AHP) is used to determine aspects affecting the preparation of the empowerment model. In the Qualitative analysis of the implementation of the empowerment model, data will be drawn from focus group discussions and in-depth interviews. Findings - The test results of the research experiment using MANOVA Test (Factorial Design) with SPSS 23 found that overall, the managers will support the presentation of aggregate or disaggregate based on which one of the two has a higher utility. Therefore, managers' preferences related to items of gains and losses in the income statement are consistent with mental accounting. Novelty - The outcome of this study could be used to explain how the parties involved in external financial reporting and voluntary disclosure behave in accordance with the principles of the theory of mental accounting. Type of Paper: Empirical Keywords: Mental Accounting; Aggregation; Disaggregation; Gain; Loss.

The theory of mental accounting is often used to understand how people evaluate multiple outcomes or events. However, a model predicting which outcomes are associated with the same mental account and evaluated jointly, versus different accounts and evaluated separately, has remained elusive. We develop a framework that incorporates an online, bottom-up process of similarity and categorization into mental accounting operations. In this categorization-based model of mental accounting, outcomes that overlap on salient attributes are automatically categorized and assigned to the same mental account while outcomes that do not overlap on salient attributes are assigned to different accounts. We use this model to derive the hedonic accounting hypothesis, which generates testable behavioral predictions on people’s preferences over the timing of outcomes given similarity-based constraints on mental accounting operations. Six studies provide support for the predictions: People prefer to experience similar losses close together in time and spread dissimilar losses apart; the reverse is true for gains, with a preference for dissimilar gains close together in time and similar gains spread apart across time. Importantly, our model is able to rationalize prior evidence that has found only limited support for the predictions of mental accounting and hedonic editing. Once the psychological process of similarity and categorization is explicitly incorporated into a formal model of mental accounting, its predictions are supported by the data.

Adopting behavioural finance as a theory has emerged as an important field due to its opposition to finance principles that rely on rational decision-making and efficient market models. The research investigates behavioural finance elements that affect risk perception (RP) processes and financial decision-making (FDM) in equity market activities. Traditional finance depends on efficient markets with rational behaviour, but behavioural finance focuses on analyzing how psychological biases affect market participants. The Research Investigated the factors such as herding, disposition effect (DE), overconfidence, loss aversion (LA), and mental accounting (MA) that influence FDM with RP acting as a mediator. A total of 300 individual investors participated in the online survey, but researchers validated data from the responses of 270 participants. IBM SPSS version 26 employed SEM to evaluate the data collected. A Multiple Regression Analysis (MRA) evaluated how the behavioural finance factors impact FDM decision-making, while a Confirmatory Factor Analysis (CFA) tested the measurement model reliability. Research data shows that RP experiences meaningful changes due to herding behaviour and disposition effect, LA, and mental accounting, but overconfidence, along with over-optimism, directly affects FDM without changing RP levels. The link between RP and financial decisions is positive, and every behavioural variable affects investment choices indirectly through RP assessment. This demonstrates that behavioural biases affect investment choices, so investigators recommend that psychological factors become integral to the risk management framework creation. Investigator teams examine supplementary behavioural elements that enhance exposure to danger assessment while studying population and ethnic influences on investment actions.

Are cognitive and behavioural factors associated with knee pain? A systematic review

The contingent valuation method (CVM) is a stated preference approach to the valuation of nonmarket goods. It has a 50+-year history beginning with a clever suggestion to simply ask people for their consumer surplus. The first study was conducted in the 1960s and over 10,000 studies have been conducted to date. The CVM is used to estimate the use and non-use values of changes in the environment. It is one of the more flexible valuation methods, having been applied in a large number of contexts and policies. The CVM requires construction of a hypothetical scenario that makes clear what will be received in exchange for payment. The scenario must be realistic and consequential. Economists prefer revealed preference methods for environmental valuation due to their reliance on actual behavior data. In unguarded moments, economists are quick to condemn stated preference methods due to their reliance on hypothetical behavior data. Stated preference methods should be seen as approaches to providing estimates of the value of certain changes in the allocation of environmental and natural resources for which no other method can be used. The CVM has a tortured history, having suffered slings and arrows from industry-funded critics following the Exxon Valdez and British Petroleum (BP)–Deepwater Horizon oil spills. The critics have harped on studies that fail certain tests of hypothetical bias and scope, among others. Nonetheless, CVM proponents have found that it produces similar value estimates to those estimated from revealed preference methods such as the travel cost and hedonic methods. The CVM has produced willingness to pay (WTP) estimates that exhibit internal validity. CVM research teams must have a range of capabilities. A CVM study involves survey design so that the elicited WTP estimates have face validity. Questionnaire development and data collection are skills that must be mastered. Welfare economic theory is used to guide empirical tests of theory such as the scope test. Limited dependent variable econometric methods are often used with panel data to test value models and develop estimates of WTP. The popularity of the CVM is on the wane; indeed, another name for this article could be “the rise and fall of CVM,” not because the CVM is any less useful than other valuation methods. It is because the best practice in the CVM is merging with discrete choice experiments, and researchers seem to prefer to call their approach discrete choice experiments. Nevertheless, the problems that plague discrete choice experiments are the same as those that plague contingent valuation. Discrete choice experiment–contingent valuation–stated preference researchers should continue down the same familiar path of methods development.

This study focuses on Chinese investors and empirically examines the dual-path impact of "funding source" and "funding use" classifications in mental accounting on investment behavior biases, with mental accounting theory as the core. Based on a questionnaire survey of 250 Chinese residents with investment experience, methods such as linear regression, ordinal Logistic regression, mediation effect, regression, and moderation effect tests were employed. The results show that different funding sources have significant differences in their impact on asset allocation risk preferences. Funding use classifications affect biases such as the disposition effect through risk perception and evaluation frequency. Risk perception plays a partial mediating role between funding use and risk mismatch, and high-income groups are more affected by mental accounting labels. This study constructs an integrated framework of "fund classification - mental accounting - decision bias," which has innovations are: first, it is the first to integrate fund sources and uses into a unified analytical model, revealing their interaction effects; second, it deepens the micro-mechanism of mental accounting's impact on investment decisions through the "cognition-behavior" dual-layer mediation path; third, it incorporates Chinese market features such as high savings rates and rigid expenditure expectations.