We propose a technique for assessing robustness of behavioral measures and treatment effects to experimenter demand effects. The premise is that by deliberately inducing demand in a structured way we can measure its influence and construct plausible bounds on demand-free behavior. We provide...

Randomised controlled or clinical trials (RCTs) are generally viewed as the most reliable method to draw causal inference as to the effects of a treatment, as they should guarantee that the individuals being compared differ only in terms of their exposure to the treatment of interest. This 'gold...

Design of experiments (DOE) offers a great deal of benefits to any manufacturing organization, such as characterization of variables and sets the path for the optimization of the levels of these variables (settings) trough the Response surface methodology, leading to process capability...

Randomised controlled or clinical trials (RCTs) are generally viewed as the most reliable method to draw causal inference as to the effects of a treatment, as they should guarantee that the individuals being compared differ only in terms of their exposure to the treatment of interest. This...

Design of experiments (DOE) offers a great deal of benefits to any manufacturing organization, such as characterization of variables and sets the path for the optimization of the levels of these variables (settings) trough the Response surface methodology, leading to process capability...

In many randomized trials, subjects enter the sample sequentially. Because the covariates for all units are not known in advance, standard methods of stratification do not apply. We describe and assess the method of DA-optimal sequential allocation (Atkinson, 1982) for balancing stratification...

This study presents a new field experimental approach for measuring age discrimination in hiring. In addition to the classical approach in which candidates' ages are randomly assigned within pairs of fictitious resumes that are sent to real vacancies, we randomly assign activities undertaken by...

This study presents a new field experimental approach for measuring age discrimination in hiring. In addition to the classical approach in which candidates' ages are randomly assigned within pairs of fictitious resumes that are sent to real vacancies, we randomly assign activities undertaken by...

We demonstrate how the standard usage of the random incentive system in ambiguity experiments is not incentive compatible if the decision maker is ambiguity averse. We propose a slight modification of the procedure in which the randomization takes place before decisions are made and the state is...

We evaluate Andreoni and Sprenger's (2012) data on choices made from Convex Time Budgets (CTB) for external consistency with the Weak Axiom of Revealed Preference (WARP) relative to the pairwise choice benchmark, and for internal consistency with respect to demand, wealth and impatience...

Consumer products and services can often be described as mixtures of ingredients. Examples are the mixture of ingredients in a cocktail and the mixture of different components of waiting time (e.g., in-vehicle and out-of-vehicle travel time) in a transportation setting. Choice experiments may...

Introduction -- Michael kremer -- Abhijit banerjee & esther duflo -- Angus deaton -- Jonathan morduch -- Judy gueron -- Dean karlan -- Alex counts -- Xavi gine -- Lant pritchett -- David mckenzie -- Nancy birdsall -- Dean yang -- Frank degiovanni -- Pascaline dupas -- Elie hassenfeld --...

The main objective of this research is to forecast the daily direction of Standard & Poor's 500 (S&P 500) index using an artificial neural network (ANN). In order to select the most influential features (factors) of the proposed ANN that affect the daily direction of S&P 500 (the response),...

Abstract: Factor screening searches for the really important inputs (factors) among the many inputs that are changed in a realistic simulation experiment. Sequential bifurcation (SB) is a sequential method that changes groups of inputs simultaneously. SB is the most efficient and effective...

The main objective of this research is to forecast the daily direction of Standard & Poor's 500 (S&P 500) index using an artificial neural network (ANN). In order to select the most influential features (factors) of the proposed ANN that affect the daily direction of S&P 500 (the response),...

A seamless integration of software platforms for implementing agent-based models and for analysing their output would facilitate comprehensive model analyses and thereby make agent-based modelling more useful. Here we report on recently developed tools for linking two widely used software...

Extensive exploration of simulation models comes at a high computational cost, all the more when the model involves a lot of parameters. Economists usually rely on random explorations, such as Monte Carlo simulations, and basic econometric modelling to approximate the properties of computational...

The present paper discusses the results of an experiment I conducted during my PhD studies. The experiment had as main goal the study of Critical Chain planning impact on the results of a project, mainly those regarding resulted product quality and overall project duration. The statistical...

In this paper, we develop core of an expert system for planning of innovation. The practical outcome of the paper is based on rules determination for search of perspective innovation and its distinguish from commercially unperceptive innovation. The second practical outcome of the paper is a...

In this paper, we study the determinants of inter-groups conflicts, focusing our attention on the role of inequality aversion. First, we experimentally investigate whether inequality is a driving force of inter-group conflicts. Second, we investigate the factors that make preferences for...

Abstract: Factor screening searches for the really important inputs (factors) among the many inputs that are changed in a realistic simulation experiment. Sequential bifurcation (or SB) is a sequential method that changes groups of inputs simultaneously. SB is the most e¢ cient and effective...