Do you mind me paying less? Measuring Other-Regarding Preferences in the Market for Taxis

This is the final version. Available on open access from INFORMS via the DOI in this record.We present a natural field experiment designed to measure other–regarding preferences in the market for taxis. We employed testers of varying ethnicity to take a number of predetermined taxi journeys. In each case we endowed them with only 80% of the expected fare. Testers revealed the amount they could afford to pay to the driver mid–journey and asked for a portion of the journey for free. In a 2×2 between–subject design we vary the length of the journey and whether or not a business card is elicited. We find that (1) the majority of drivers give at least part of the journey for free, (2) giving is proportional to the length of the journey and (3) that 27% of drivers complete the journey. Evidence of out–group negativity against black testers is also reported. In order to link our empirical analysis to behavioural theory we estimate the parameters of a number of utility functions. The data and the structural analysis lend support to the quantitative predictions of experiments that measure other–regarding preferences, and shed further light on how discrimination can manifest itself within our preferences.University of Exete

Generalized Quadratic Revenue Functions

In this paper we focus on specification of revenue functions in their dual price space. We consider two distance functions, both dual to the revenue function: Shephard output distance function and the directional output distance function, both in price space. The former is multiplicative, satisfying homogeneity, the latter is additive satisfying transitivity. Functional equation methods yield translog specification for the Shephard case and quadratic for the directional case. Monte Carlo evidence suggests that the quadratic specification more precisely represents technology.

Generalized quadratic revenue functions

In this paper we focus on specification of revenue functions in their dual price space. We consider two distance functions, both dual to the revenue function: Shephard output distance function and the directional output distance function, both in price space. The former is multiplicative, satisfying homogeneity, the latter is additive satisfying transitivity. Functional equation methods yield translog specification for the Shephard case and quadratic for the directional case. Monte Carlo evidence suggests that the quadratic specification more precisely represents technology

A study of the stress wave factor technique for evaluation of composite materials

The acousto-ultrasonic approach for nondestructive evaluation provides a measurement procedure for quantifying the integrated effect of globally distributed damage characteristic of fiber reinforced composite materials. The evaluation procedure provides a stress wave factor that correlates closely with several material performance parameters. The procedure was investigated for a variety of materials including advanced composites, hybrid structure bonds, adhesive bonds, wood products, and wire rope. The research program focused primarily on development of fundamental understanding and applications advancements of acousto-ultrasonics for materials characterization. This involves characterization of materials for which detection, location, and identification of imperfections cannot at present be analyzed satisfactorily with mechanical performance prediction models. In addition to presenting definitive studies on application potentials, the understanding of the acousto-ultrasonic method as applied to advanced composites is reviewed

Discrimination in a deprived neighbourhood: an artefactual field experiment

This is the author accepted manuscript. The final version is available from Elsevier via the DOI in this record.We present a field experiment designed to examine the discriminatory motives of an understudied demographic: the poorest people in England. Subjects are first asked to divide £10 between two strangers, and then play a £10 dictator game with another stranger. We subtly vary the ethnicity of the receivers by providing subjects with surnames randomly drawn from the electoral register, including treatments that allow us to parse behaviour into either in–group favouritism or out–group negativity, an important behavioural distinction that is typically overlooked in the discrimination literature. Our results suggest that the observed discriminatory attitudes are the result of out-group negativity rather than in-group favouritism. We advance the literature on discrimination through the estimation of a structural model of group– contingent social preferences, which we exploit to perform counterfactual simulations. Our results provide insights into the behaviour of this unique demographic and provide a rationale for why they may support discriminatory policies in their voting behaviour

Phase noise of four‐wave mixing in semiconductor lasers

This is the published version. Copyright © 1992 American Institute of PhysicsA simple theoreticalanalysis shows that the linewidth of the conjugate wave produced in four‐wave mixing in semiconductor lasers is equal to the linewidth of the probe plus four times the linewidth of the pump. Experimental results in good agreement with the theory are presented. This result implies an enormous enhancement in the phase noise of the conjugate wave and sets a limitation on some practical applications of four‐wave mixing

Directional output distance functions: endogenous directions based on exogenous normalization constraints

In response to a question raised by Knox Lovell, we develop a method for estimating directional output distance functions with endogenously determined direction vectors based on exogenous normalization constraints. This is reminiscent of the Russell measure proposed by Färe and Lovell (J Econ Theory 19:150–162, 1978). Moreover it is related to the slacks-based directional distance function introduced by Färe and Grosskopf (Eur J Oper Res 200:320–322, 2010a, Eur J Oper Res 206:702, 2010b). Here we show how to use the slacks-based function to estimate the optimal directions.Keywords: Directional distance functions, Slack-based measures, DE

Reconstructing nonparametric productivity networks

Network models provide a general representation of inter-connected system dynamics. This ability to connect systems has led to a proliferation of network models for economic productivity analysis, primarily estimated non-parametrically using Data Envelopment Analysis (DEA). While network DEA models can be used to measure system performance, they lack a statistical framework for inference, due in part to the complex structure of network processes. We fill this gap by developing a general framework to infer the network structure in a Bayesian sense, in order to better understand the underlying relationships driving system performance. Our approach draws on recent advances in information science, machine learning and statistical inference from the physics of complex systems to estimate unobserved network linkages. To illustrate, we apply our framework to analyze the production of knowledge, via own and cross-disciplinary research, for a world-country panel of bibliometric data. We find significant interactions between related disciplinary research output, both in terms of quantity and quality. In the context of research productivity, our results on cross-disciplinary linkages could be used to better target research funding across disciplines and institutions. More generally, our framework for inferring the underlying network production technology could be applied to both public and private settings which entail spillovers, including intra-and inter-firm managerial decisions and public agency coordination. This framework also provides a systematic approach to model selection when the underlying network structure is unknown

The development of social preferences

This is the author accepted manuscript. The final version is available from the publisher via the DOI in this recordThis paper examines how social preferences develop with age. This is done using a range of mini-dictator games from which we classify 665 subjects into a variety of behavioural types. We expand on previous developmental studies of pro-sociality and parochialism by analysing individuals aged 9–67, and by employing a cross country study where participants from Spain interact with participants from different ethnic groups (Arab, East Asian, Black and White) belonging to different countries (Morocco, China, Senegal and Spain). We identify a ‘U-shaped’ relationship between age and egalitarianism that had previously gone unnoticed, and appeared linear. An inverse “U-shaped” relationship is found to be true for altruism. A gender differential is found to emerge in teenage years, with females becoming less altruistic but more egalitarian than males. In contrast to the majority of previous economic studies of the development of social preferences, we report evidence of increased altruism, and decreased egalitarianism and spite expressed towards black individuals from Senegal