On the cultural basis of gender differences in negotiation

We study how culture and social structure influence bargaining behavior across gender, by exploring the negotiation culture in matrilineal and patriarchal societies using data from a laboratory experiment and a natural field experiment. One interesting result is that in both the actual marketplace and in the laboratory bargaining game, women in the matrilineal society earn more than men, at odds with years of evidence observed in the western world. We find that this result is critically driven by which side of the market the person is occupying: female (male) sellers in the matrilineal (patriarchal) society extract more of the bargaining surplus than male (female) sellers. In the buyer role, however, we observe no significant differences across societies.     

Relaxed Credit Standards in the U.S. Housing Boom: Changes in Risk Characteristics of Mortgage Recipients*

This paper examines components of credit risk and how their ability to predict the interface between households and mortgage market changed under the relaxed lending standards prevailing during the U.S. housing boom of the 2000s. Using data from the Federal Reserve Board's 1998 and 2007 Survey of Consumer Finances, the paper evaluates changes between 1998 and 2007 in the significance of credit risk characteristics in explaining three variables regarding the purchase of a primary residence by households in low‐, moderate‐, and high‐income groups: the loan‐to‐value ratio of the purchase mortgage, the likelihood of purchase, and the price paid. The study also analyzes the extent to which the period saw increases in the values of those three variables. The findings strongly suggest a decline in the ability of credit risk characteristics in predicting the interface between households and mortgage market over the period.     

Trading-up on unmet expectations? Evaluating consumers’ expectations in online premium grocery shopping logistics

Geography and retail store locations are inherently bound together; this study links food retail changes to systemic logistics changes in an emerging market. The later include raising income and education, access to a wide range of technologies, traffic and transport difficulties, lagging retail provision, changing family structure and roles, as well as changing food culture and taste. The study incorporates demand for premium products defined by Kapferer and Bastien [2009b. The Luxury Strategy. London: Kogan Page] as comprising a broad variety of higher quality and unique or distinctive products and brands including in grocery organic ranges, healthy options, allergy free selections, and international and gourmet/specialty products through an online grocery model (n?=?356) that integrates a novel view of home delivery in Istanbul. More importantly from a logistic perspective our model incorporates any products from any online vendors broadening the range beyond listed items found in any traditional online supermarkets. Data collected via phone survey and analysed via structural equation modelling suggest that the offer of online premium products significantly affects consumers’ delivery logistics expectations. We discuss logistics operations and business management implications, identifying the emerging geography of logistic models which respond to consumers’ unmet expectations using multiple sourcing and consolidation points.     

Variations in farm consumption and their relationship to income: an empirical investigation of Illinois farm households

Empirical tests of household consumption have yielded mixed results regarding the validity of the life cycle/permanent income (LCPI) hypothesis. A significant problem with such studies is the difficulty in finding sufficient micro-level data on household expenditures. By using the recent rich quantity of such data in the Farm Business Farm Management (FBFM) data for Illinois farms from 1995 to 2009, the study reported here for farm households should provide more consistent results regarding the LCPI hypothesis. Applying an empirical model based on the LCPI hypothesis, this article identifies the determinants of farm consumption and the relationship to income. This study provides evidence that current income changes are not significant in explaining the consumption changes of farm households, thus supporting the LCPI hypothesis for farm households.     

Inflation expectations of Brazilian consumers: an analysis based on the FGV survey

ABSTRACT

An accurate assessment of inflation expectations is crucial for the management of monetary policies. However, expectations are not directly observed and are hence normally inferred either from the interest rate structure or from surveys of professional forecasters. Alternatively, a direct measure may be obtained from consumer surveys. The aim of this paper is to study the formation of inflation expectations in Brazil, using a novel dataset based on the FGV/IBRE consumer survey. Basing our model on the rational inattention hypothesis, we find that individual heterogeneity plays a very significant role in shaping individual expectations; also, Brazilians adjust expectations to current inflation and to a fixed reference value, while professional forecasts do not play a very relevant role.     

Traveler satisfaction in rapid rail systems: The case of Istanbul metro

Multifaceted characteristics of urban travel have an impact on the passengers' overall satisfaction with the transport system. In this study, we investigate the interrelationships among traveler satisfaction, travel and traveler characteristics, and service performance in a multimodal network that comprises of a trunk line and its feeder lines. We analyze the factors influencing the choices of access to rail transit stations and the satisfaction of transit travelers with the rapid rail transit systems. We quantitatively study these relationships and demonstrate the complexity of evaluating transit service performance. Since the interrelationships among variables affecting this system are mainly stochastic, we analyze the satisfaction with transit system problem using a Bayesian Belief Network (BBN), which helps capture the causality among variables with inherent uncertainty. Using the case of Istanbul, we employ the BBN as a decision support tool for policy-makers to analyze the rapid rail transit services and determine policies for improving the quality and the level of service to increase the satisfaction with transit system. In the case study, satisfaction with accessibility and access mode variables are found to be more effective variables than total travel time for travel time satisfaction, confirming the significant role of access in multimodal travels.     

Determinants of private savings behaviour in Turkey

This study investigates the effects on private saving rates of a number of policy and non-policy variables. The analysis covers the period 1968–1994. The empirical private saving model for Turkey is estimated. The findings support the hypothesis that private saving rates have strong inertia. The evidence indicates that government saving does not tend to crowd out private savings and the Ricardian equivalence does not hold strictly. Income level has a positive impact on private saving rate, and growth rate of income is not statistically significant. From a policy point of view, financial depth and development measures in Turkey suggest that countries with deeper financial systems tend to have higher private saving rates. Private credit and real interest rates try to capture the severity of the borrowing constraints and the degree of financial repression for Turkey. Moreover, the negative impact of life expectancy rate lends support to the life-cycle hypothesis. The precautionary motive for saving is supported by the findings that inflation captures the degree of macroeconomic volatility and has a positive impact on private saving in Turkey.     

Social cognition and personality traits related to risky driving in a Turkish sample

Aims: The aim of the study was to make a theoretical contribution by investigating social cognitive factors and personality traits related to risky driver behaviour in a Turkish sample. The study tested three theoretical models by Structural Equation Modelling: (1) a model using risk perception and attitudes towards traffic safety to predict driver behaviour, (2) a model which used normlessness and sensation-seeking traits to predict such behaviour and (3) a model which used both the social cognitive factors and personality traits to predict driver behaviour. Methods: A questionnaire survey with validated measurement instruments was conducted in a sample of Turkish drivers (n?=?213). The response rate was 61%. Results: A combined social cognitive and personality trait model had tolerable fit and explained 24% of the variance in driver behaviour. The relations between personality traits and risk perception with driver behaviour were mediated through attitudes towards traffic safety. Risk-taking personality traits had relatively strong relations to unsafe driver behaviour, whereas risk perception had a relatively weak relation to such behaviour. Conclusions: A combined social cognitive and trait approach may be efficient in human factor campaigns aimed to reduce risky driver behaviour in Turkey. Personality traits may be important for driver behaviour because they influence the attitudinal determinants of such behaviour. Increased police enforcement of road traffic regulations may reduce risky driving among individuals with normlessness and sensation-seeking traits. Personality traits may also guide efforts aimed at early identification of risky drivers and campaigns could be tailored to specific personality characteristics.     

Consumers' Preferences for Nanotechnology in Food Packaging: A Discrete Choice Experiment

We examine consumers' preferences for chickens under different levels of foodborne health risk, animal welfare and pric attributes. We analyse how their preferences vary according to the risk reduction method. Our comparison is between risk reductions achieved by conventional improvements in the meat supply chain system (e.g. more stringent regulations and inspection regimes), and risk reductions achieved by food packaging nanosensors. Our comparison uses a two‐treatment discrete choice experiment in which each treatment sample is only presented with one of the risk reductions: either nanotechnology or conventional methods. We also investigate heterogeneity in preferences for two consumer groups: (i) consumers who usually buy conventional raw, whole chickens, and (ii) consumers who usually buy niche, welfare‐improved chickens, such as free‐range and organic. Our results show evidence of heterogeneity in preferences and willingness‐ to‐pay values of the both consumer groups. We find that consumers, on average, prefer raw, whole chicken with a lower risk of food poisoning, better animal welfare, and lower costs, regardless of the presence of nanosensors. Although consumers in general showed no strong preferences towards or resistance to nanotechnology, those who buy chickens with better animal welfare, on average, showed higher WTP for food risk reduction and animal welfare relative to conventional chicken consumers.