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Analyzing Experimental Data Using Regression : When is Bias a Practical Concern?

Green, Donald P.; Aronow, Peter M. - 2011

become controversial in the wake of recent demonstrations showing that this type of regression is prone to bias in small … samples. Bias may even remain when units are sampled from a larger population of infnite size. This paper uses a combination … of simulated and actual examples to show that, as a practical matter, bias tends to be negligible when the sample size is …

Persistent link: https://www.econbiz.de/10014204391

Kernel Density Techniques as a Tool for Estimating and Comparing Income Distributions : A Cross European – Country Study

Papatheodorou, Christos - 2014

This paper compares and assesses the income inequality between five European countries in the mid 1990's, employing the non-parametric technique of kernel density estimation. The countries used in this inequality exercise were Germany, Hungary, Luxembourg, Poland and the United Kingdom, and the...

Persistent link: https://www.econbiz.de/10013052619

Chapter 4 The new empirics of economic growth

Durlauf, Steven N.; Quah, Danny T. - In: Handbook of macroeconomics : volume 1, part A, (pp. 235-308). 1999

We provide an overview of recent empirical research on patterns of cross-country growth. The new empirical regularities considered differ from earlier ones, e.g., the well-known Kaldor stylized facts. The new research no longer makes production function accounting a central part of the analysis....

Persistent link: https://www.econbiz.de/10014024246

A General Method for Detecting Interference Between Units in Randomized Experiments

Aronow, Peter M. - 2010

Interference between units may pose a threat to unbiased causal inference in randomized controlled experiments. Although the assumption of no interference is essential for causal inference, few options are available for testing this assumption. This paper presents the first reliable ex post...

Persistent link: https://www.econbiz.de/10013140154

Flexible Approximation of Subjective Expectations Using Probability Questions : An Application to the Investment Game

Bellemare, Charles - 2008

We use spline interpolation to approximate the subjective cumulative distribution function of an economic agent over the future realization of a continuous (possibly censored) random variable. The method proposed exploits information collected using a small number of probability questions on...

Persistent link: https://www.econbiz.de/10012773320

Meta-Analysis of Empirical Estimates of Loss-Aversion

Brown, Alexander L.; Imai, Taisuke; Vieider, Ferdinand; … - 2021

Loss aversion is one of the most widely used concepts in behavioral economics. We conduct a large-scale interdisciplinary meta-analysis, to systematically accumulate knowledge from numerous empirical estimates of the loss aversion coefficient reported during the past couple of decades. We...

Persistent link: https://www.econbiz.de/10013250034

The Stochastic Inequality Test - a Test for a Directional Treatment Effect

Schlag, Karl H.; Tremewan, James - 2022

The stochastic inequality test is an exact non-parametric test that can be used to infer whether values in one random sample tend to be higher than in another. In addition it can be used to derive a confidence interval around an intuitive measure of effect size that is readily interpretable...

Persistent link: https://www.econbiz.de/10013281266

Treatment allocation for linear models

Aufenanger, Tobias - 2017 - This version: September 2017

This paper analyzes the benefits and the limits of a systematic allocation of treatments within a linear model framework. Linear models do not necessarily require the treatment allocation to be random. Since the variance of the treatment estimator within linear models does not depend on the...

Persistent link: https://www.econbiz.de/10011724499

Treatment allocation for linear models with covariate information

Aufenanger, Tobias - 2017 - This version: July 2017

This paper analyses optimal treatment allocation of experimental units to treatment and control group. 'Optimal' means that the allocation of treatments should balance covariates across treatment and control group in a way that minimizes the variance of the treatment estimator in a given linear...

Persistent link: https://www.econbiz.de/10011688215

Treatment allocation for linear models

Aufenanger, Tobias - 2018 - This version: January 2018

Methods of systematically balanced treatment allocation for economic experiments, as an alternative to random allocation, are gaining increasing attention in recent years. This paper analyzes the benefits and the limits of a systematic allocation of treatments within a linear model framework....

Persistent link: https://www.econbiz.de/10011857354

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