scholarly journals Where did it go wrong? Marriage and divorce in Malawi

2021 ◽  
Vol 12 (2) ◽  
pp. 505-545 ◽  
Author(s):  
Laurens Cherchye ◽  
Bram De Rock ◽  
Frederic Vermeulen ◽  
Selma Walther
Keyword(s):  
Structural Model ◽  
Economic Value ◽  
Marriage Market ◽  
Revealed Preference ◽  
Marital Instability ◽  
Stable Marriage ◽  
Marriage Markets ◽  
Out Of Sample ◽  
The Difference ◽  
Rich Data

Do individuals marry and divorce for economic reasons? Can we measure the economic attractiveness of a person's marriage market? We answer these questions using a structural model of consumer‐producer households that is applied to rich data from Malawi. Using revealed preference conditions for a stable marriage market, we define the economic attractiveness of a potential match as the difference between the potential value of consumption and leisure with the new partner and the value of consumption and leisure in the current marriage. We estimate this marital instability measure for every possible pair in geographically defined marriage markets in 2010. We find that the marital instability measure is predictive of future divorces, particularly for women. We further show that this estimated effect on divorce is mitigated by the woman's age, and by a lack of men, relative to women, in the marriage market, showing that these factors interact with the economic attractiveness of the remarriage market. These findings provide out‐of‐sample validation of our model and evidence that the economic value of the marriage market matters for divorce decisions.

scholarly journals Household Consumption When the Marriage Is Stable

2017 ◽  
Vol 107 (6) ◽  
pp. 1507-1534 ◽  
Author(s):  
Laurens Cherchye ◽  
Thomas Demuynck ◽  
Bram De Rock ◽  
Frederic Vermeulen
Keyword(s):  
Marriage Market ◽  
Revealed Preference ◽  
Household Consumption ◽  
Stable Marriage ◽  
Sharing Rule ◽  
Single Observation ◽  
Household Data ◽  
Decision Structure ◽  
Theoretical Results

We develop a novel framework to analyze the structural implications of the marriage market for household consumption. We define a revealed preference characterization of efficient household consumption when the marriage is stable. We characterize stable marriage with intrahousehold (consumption) transfers but without assuming transferable utility. Our revealed preference characterization generates testable conditions even with a single observation per household and heterogeneous individual preferences across households. The characterization also allows for identifying the intrahousehold decision structure (including the sharing rule) under the same minimalistic assumptions. An application to Dutch household data illustrates the usefulness of our theoretical results. (JEL D60, D63, H21, H23, I38)

scholarly journals Imitated Whole Tree Harvesting Show Negligible Effect on Economic Value of Spruce Stands

Forests ◽  
2021 ◽  
Vol 12 (7) ◽  
pp. 841
Author(s):  
Iveta Desaine ◽  
Annija Kārkliņa ◽  
Roberts Matisons ◽  
Anna Pastare ◽  
Andis Adamovičs ◽  
...  
Keyword(s):  
Norway Spruce ◽  
Economic Value ◽  
Forest Types ◽  
Spruce Stands ◽  
The Difference ◽  
Growing Conditions ◽  
Whole Tree Harvesting ◽  
Whole Tree ◽  
Tree Harvesting

The increased removal of forest-derived biomass with whole-tree harvesting (WTH) has raised concerns about the long-term productivity and sustainability of forest ecosystems. If true, this effect needs to be factored in the assessment of long-term feasibility to implement such a drastic forest management measure. Therefore, the economic performance of five experimental plantations in three different forest types, where in 1971 simulated WTH event occurred, was compared with pure, planted and conventionally managed (CH) Norway spruce stands of similar age and growing conditions. Potential incomes of CH and WTH stands were based on timber prices for period 2014–2020. However, regarding the economics of root and stump biomass utilization, they were not included in the estimates. In any given price level, the difference of internal rate of return between the forest types and selected managements were from 2.5% to 6.2%. Therefore, Norway spruce stands demonstrate good potential of independence regardless of stump removal at the previous rotation.

Role of mall attractiveness in shaping fashion shopping orientation of apparel shoppers: a segmentation approach

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Ajay Kumar ◽  
Anil Kumar Kashyap
Keyword(s):  
Cluster Analysis ◽  
Design Methodology ◽  
Economic Value ◽  
Variety Seeking ◽  
Content Type ◽  
Shopping Orientation ◽  
Intercept Survey ◽  
Segmentation Approach ◽  
The Difference

Purpose The purpose of this study is to identify distinct segments of apparel shoppers based on their fashion shopping orientation. The difference among the segments based on mall attractive dimension is also examined. Design/methodology/approach The data were collected through mall intercept survey from the mall shoppers. Samples of 375 respondents are used for data analysis purpose. Exploratory factor analysis is used to extract the factors of fashion shopping orientation and mall attractive dimensions while K-means cluster analysis is applied to identify the segments. Findings This study resulted in three factors of fashion orientation of apparel shoppers, i.e. fashion involvement, variety seeking and economic value, and four factors of mall attractive dimensions: convenience, entertainment, atmosphere and architecture design. Based on these factors, this study came out with three distinct segments of fashion shoppers: pragmatic shoppers, variety seeking shoppers and highly fashioned shoppers. These three segments are attracted towards the mall dimension differently. Originality/value This paper presents the three distinct profiles of fashion shoppers based on their fashion shopping orientation and mall attractive dimensions. The findings of this study may help retailers and mall developers to target mall visitors appropriately.

scholarly journals Analisis zat gizi dan biaya sisa makanan pada pasien dengan makanan biasa

2005 ◽  
Vol 1 (3) ◽  
pp. 108
Author(s):  
Mihir Djamaluddin ◽  
Endy Paryanto Prawirohartono ◽  
Ira Paramastri
Keyword(s):  
Length Of Stay ◽  
Food Waste ◽  
Economic Value ◽  
Food Service ◽  
Cross Sectional Study ◽  
Chi Square ◽  
Cross Sectional ◽  
Regular Diet ◽  
The Difference ◽  
The Cost

Background: The quality of food service in a hospital can be assessed from the inpatients’ nutritional status. Food waste is an indicator of food service among inpatients. Besides its therapeutic value, food has a significant economic value. The wasting cost in term of food waste affects the total availability of food costs.Objective: This study analyzes the nutrient quantity and the cost of food waste among inpatients with regular diet at Dr. Sardjito Hospital, Yogyakarta.Method: This was a cross sectional study. The subjects were inpatients aged 17 to 60 years old who got regular diet with length of stay was at least three days, and were willing to take part in this study (n=100). The amount of food waste was measured using the Comstock visual estimation. The cost of food waste was calculated as the proportion of food waste from cost per serving. The quantity of nutrients in food waste was calculated using the Food Processor 2 software. The data were analyzed using Chi-square test.Results: There was a difference of food waste according to gender. Rice waste was found more frequent among female (p<0,005). There was a difference of food waste according to ward class. There were more waste of meat and vegetables among inpatients in class II and the difference was significant (p<0,05). There were more waste of meat and vegetables among patients with length stay of 7 – 14 days and > 15 days (p<0,05). The vegetables and rice waste were more frequent among surgery and cancer inpatients (p<0,05). In average the nutritional value of food waste was 19,85% - 9,33% of a patient’s RDA, while the wasting cost per day was Rp 1265,08 or 10,79% of all food cost per day. The annual wasting cost of food waste was Rp 45.543.120 or 4,4% of the available budget of Rp 1.038.605.333,00.Conclusion: There were differences of food waste according to gender, ward class, length of stay, and kind of disease, especially rice, meat, and vegetables.

scholarly journals Switching Intent of Disruptive Green Products: The Roles of Comparative Economic Value and Green Trust

2021 ◽  
Vol 9 ◽  
Author(s):  
Chunpei Lin ◽  
Xiumei Lai ◽  
Chuanpeng Yu
Keyword(s):  
Structural Model ◽  
Economic Value ◽  
Disruptive Innovation ◽  
Extended Model ◽  
Green Product ◽  
Continuous Innovation ◽  
Product Switching ◽  
Green Trust ◽  
The Relationship

This study explores consumers’ motivations to switch to new products in the context of disruptive innovation and investigates the role of comparative economic value and green trust. Switching from an existing product to a disruptive green product not only involves benefits but also requires major sacrifices, which are not encountered in the context of continuous innovation. In this study, the relationships between comparative economic value, green trust, self-accountability, and disruptive green product switching intent are examined. Data were collected from China with self-administered questionnaires regarding the disruptive green product. Results of a structural model reveal positive relationships between comparative economic value, green trust, and disruptive green product switching intent. In addition, green trust mediates the effects of the comparative economic value on the disruptive green product switching intent, and self-accountability moderates the relationship between green trust and disruptive green product switching intent. From a practitioner perspective, the research is important because it illuminates the consumer’s motivations regarding product switching in the hitherto unexplored field of automobiles, for which we have shown that our extended model yields meaningful results.

scholarly journals Measures of the Output Gap in Turkey: An Empirical Assessment of Selected Methods

2019 ◽  
pp. 238-251
Author(s):  
İlyas Şıklar ◽  
Suzan Şahin
Keyword(s):  
Structural Model ◽  
Linear Trend ◽  
Critical Factor ◽  
Estimation Methods ◽  
Price Stability ◽  
Output Gap ◽  
Filtering Method ◽  
Svar Model ◽  
Main Target ◽  
The Difference

The output gap indicating the difference between the actual and potential levels of output is a critical factor for estimating the inflationary pressures in an economy. If the main target of a central bank is ensuring and maintaining the price stability, estimating the output gap with a minimum error is crucial for the efficiency of the monetary policy. In this study, we estimated the output gap in Turkey for the 2002-2014 period by using four different methods. Two of these estimation methods are purely statistical (Linear Trend and Hodrick-Presscot (HP) Filtering) while the others are integrated with the relations suggested by the economic theory (multivariate structural model and structural autoregressive (SVAR) model). By using empirical decision criteria common in the literature, we conclude that SVAR model produces the most reliable output gap estimates to explain inflationary pressures in Turkey. However, we also found that the Hodrick-Presscot filtering method is the second best methodology in the output gap estimation process.

scholarly journals Sensitivity analysis of Economic Value Added as a dominant indicator of concept of economic profit

2021 ◽  
Vol 129 ◽  
pp. 03014
Author(s):  
Dusan Karpac ◽  
Viera Bartosova
Keyword(s):  
Sensitivity Analysis ◽  
Economic Value ◽  
Value Added ◽  
Economic Value Added ◽  
Financial Status ◽  
Economic Profit ◽  
Methods Of Synthesis ◽  
The Difference ◽  
Individual Variables ◽  
The Impact

Research background: The modern goal of enterprises, value creation, is achieved through the concept of economic profit. Profit, as part of profit or loss, is one of the most important flows, pointing to how efficiently corporate capital is used in an entity (Coatney & Poliak, 2020). The article deals with the difference between accounting and economic profit, the selected form of economic profit - the EVA indicator. The economic value added (EVA) indicator is one of the best-known modern indicators of a company's performance (Siekelova et al., 2019). It shows whether the given entity increases its value or only earns for its economic survival. The benefit of this indicator is the valuation of equity and taking into account the risk. It is difficult to express the economic profit itself, therefore the article also addresses the issue of its calculation (Shah et al., 2016). The company needs to know its financial status and the direction it is heading, so we decided to calculate a selected form of economic profit. Purpose of the article: The company needs to know its financial status and the direction it is heading, so we decided to calculate a selected form of economic profit. When expressing the value of the economic value added indicator, it is also important to know the items and components of the calculation that have the strongest meaning and effect on the possible amount of the indicator. Given this, we decided to use a sensitivity analysis, which points to the effect of individual variables that participate in the construction of the EVA calculation. Methods: In this work, the methods of induction, deduction, and comparison were used to obtain a true picture of the subject issue. Methods of synthesis and analysis of the researched issues were also used. Findings & Value added: In the paper there is pointed out the intensity of the impact of individual variables that entered into the calculation of the economic value added indicator as a dominant indicator of concept of economic profit.

Abstract 108: Optimal In-Hospital Defibrillator Placement

Circulation ◽  
2019 ◽  
Vol 140 (Suppl_2) ◽  
Author(s):  
Kwan Hon Benjamin Leung ◽  
Matthew Yang ◽  
Christopher Sun ◽  
Katherine S Allan ◽  
Natalie Wong ◽  
...  
Keyword(s):  
Average Distance ◽  
Mathematical Optimization ◽  
Rank Test ◽  
Relative Decrease ◽  
Signed Rank ◽  
Out Of Sample ◽  
Signed Rank Test ◽  
Academic Teaching Hospital ◽  
Mathematical Optimization Model ◽  
The Difference

Introduction: Delays in defibrillation of in-hospital cardiac arrests (IHCAs) can reduce the likelihood of survival. Mathematical optimization has been shown to improve public location defibrillator placement but has not been applied to in-hospital defibrillator placement. Objective: To determine if mathematical optimization of in-hospital defibrillator placements can reduce distances to IHCAs compared to current placements in a large academic teaching hospital. Methods: We identified all treated IHCAs and defibrillator placements in St. Michael’s Hospital in Toronto, Canada from Jan. 2007 to Jun. 2017 and mapped them to a 3-D representation of the hospital that we developed from blueprints. An equal number of optimal defibrillator locations was identified using a mathematical optimization model that minimizes the average distance between IHCAs and the closest defibrillator in a 10-fold cross-validation approach. The optimized and current defibrillator locations were compared in terms of average distance to the out-of-sample IHCAs in each fold. We repeated the analysis excluding IHCAs and defibrillators in intensive care units (ICUs), operating theaters (OTs), and the emergency department (ED). Significance in the difference of average distance was determined using a Wilcoxon signed-rank test. Results: We identified 537 treated IHCAs and 53 defibrillators within the hospital during the study period. Of these, 236 IHCAs and 38 defibrillators were outside of ICUs, OTs, and the ED. Optimal defibrillator placements reduced the average defibrillator-to-IHCA distance from 17.1 m to 3.8 m, a relative decrease of 77.8% (P<0.01) on all IHCAs compared to current defibrillator placements. For non-ICU/OT/ED IHCAs, the average distance was reduced from 18.3 m to 9.8 m, a relative decrease of 46.4% (P<0.01). Conclusion: Optimization-guided placement of in-hospital defibrillators can significantly reduce the distance from an IHCA to the closest defibrillator.

Out-of-sample data visualization using bi-kernel t-SNE

2020 ◽  
pp. 147387162097820
Author(s):  
Haili Zhang ◽  
Pu Wang ◽  
Xuejin Gao ◽  
Yongsheng Qi ◽  
Huihui Gao
Keyword(s):  
Data Visualization ◽  
Principal Component ◽  
Feature Space ◽  
Gaussian Kernel ◽  
Sample Data ◽  
Out Of Sample ◽  
Benchmark Datasets ◽  
The Difference ◽  
Low Dimensional ◽  
Effective Visualization

T-distributed stochastic neighbor embedding (t-SNE) is an effective visualization method. However, it is non-parametric and cannot be applied to steaming data or online scenarios. Although kernel t-SNE provides an explicit projection from a high-dimensional data space to a low-dimensional feature space, some outliers are not well projected. In this paper, bi-kernel t-SNE is proposed for out-of-sample data visualization. Gaussian kernel matrices of the input and feature spaces are used to approximate the explicit projection. Then principal component analysis is applied to reduce the dimensionality of the feature kernel matrix. Thus, the difference between inliers and outliers is revealed. And any new sample can be well mapped. The performance of the proposed method for out-of-sample projection is tested on several benchmark datasets by comparing it with other state-of-the-art algorithms.

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