Search results for "Causal effect"

2018

The increase in the prevalence of obesity worldwide has led to great interest in the economic consequences of obesity, but valid and powerful instruments for obesity, which are needed to estimate its causal effects, are rare. This paper contributes to the literature by using a novel instrument: genetic risk score, which reflects the predisposition to higher body mass index across many genetic loci. We estimate IV models of the effect of BMI on labor market outcomes using Finnish data that have many strengths: genetic information, measured body mass index, and administrative earnings records that are free of the problems associated with nonresponse, self-reporting error or top-coding. The fi…

Atmospheric aging of small-scale wood combustion emissions (model MECHA 1.0) – is it possible to distinguish causal effects from non-causal ass…

2020

Abstract. Primary emissions of wood combustion are complex mixtures of hundreds or even over a thousand compounds, which pass through a series of chemical reactions and physical transformation processes in the atmosphere (aging). This aging process depends on atmospheric conditions, such as concentration of atmospheric oxidizing agents (OH radical, ozone and nitrate radicals), humidity and solar radiation, and is known to strongly affect the characteristics of atmospheric aerosols. However, there are only few models that are able to represent the aging of emissions during its lifetime in the atmosphere. In this work, we implemented a model (Model for aging of Emissions in environmental CHAm…

Do Individual Effects Reflect Quantitative or Qualitative Differences in Cognition?

2021

Rouder and Haaf (2020) posed the important question if there are some individuals whose behavior is not in accordance with well-established experimental effects and whether these individual differences are quantitative or qualitative in nature. In our commentary, we discuss the distinction between quantitative and qualitative individual differences and between individual and average causal effects and come to the conclusion that this is not a new question, but in fact one that has already been discussed by Gordon W. Allport (1937) and Donald B. Rubin (1974, 1978). Moreover, we critically examine their proposed rule of thumb to collect about 100 trials per experimental condition to reliably …

Effectiveness of Private and Public High Schools: Evidence from Finland

2019

Abstract A number of papers have compared the effectiveness of private and public schools in different institutional settings. However, most of these studies are observational and do not utilize experimental or quasi-experimental design to evaluate the value-added or the effectiveness of private schools in comparison to public schools. This study focuses on private and public high schools in Helsinki, the capital city of Finland. We use two different methods to compare private and public schools, value-added estimation and regression discontinuity design (RDD). Although based on somewhat different assumptions, both methods allow us to evaluate the causal effect of private schools on the exi…

Identifying Causal Effects via Context-specific Independence Relations

2019

Causal effect identification considers whether an interventional probability distribution can be uniquely determined from a passively observed distribution in a given causal structure. If the generating system induces context-specific independence (CSI) relations, the existing identification procedures and criteria based on do-calculus are inherently incomplete. We show that deciding causal effect non-identifiability is NP-hard in the presence of CSIs. Motivated by this, we design a calculus and an automated search procedure for identifying causal effects in the presence of CSIs. The approach is provably sound and it includes standard do-calculus as a special case. With the approach we can …

Surrogate outcomes and transportability

2019

Identification of causal effects is one of the most fundamental tasks of causal inference. We consider an identifiability problem where some experimental and observational data are available but neither data alone is sufficient for the identification of the causal effect of interest. Instead of the outcome of interest, surrogate outcomes are measured in the experiments. This problem is a generalization of identifiability using surrogate experiments and we label it as surrogate outcome identifiability. We show that the concept of transportability provides a sufficient criteria for determining surrogate outcome identifiability for a large class of queries.

Impact of vine water status on berry mass and berry tissue development of Cabernet franc (Vitis vinifera L.), assessed at berry level

2019

Background Berry size is considered an important quality factor in red wine production. The objective of this work was to study the effect of vine water status on berry mass in field conditions, with a specific focus on berry tissue masses. Results The study was carried out over 2 years in a plot located in Sicily (Italy). Two irrigation treatments were established. Dynamic evolution of berry mass and berry tissue masses at harvest were recorded. Berries produced under water deficit conditions were smaller and characterized by a higher skin-to-flesh ratio. However, this ratio did not change when berry mass varied independently from vine water status, showing coordinated growth of flesh and …

Sanctions and the exit from unemployment in two different benefit schemes

2016

This paper investigates the effect of benefit sanctions on the exit rate from unemployment using a unique set of rich register data on unemployed Finnish individuals. The timing-of-events approach is applied to distinguish between the selection and causal effects of sanctioning. The results imply that the effect of sanctions differs according to the benefits received. Sanctions encourage unemployed individuals receiving flat-rate labour market support (LMS) to find jobs, whereas unemployed individuals receiving earnings-related (UI) allowances to leave the labour force. The encouraging effect of sanctions on active labour market policy programmes is relatively small and statistically signif…

Pushing Through or Slacking Off? Heterogeneity in the Reaction to Rank Feedback

2018

This paper studies heterogeneity in the reaction to rank feedback. In a laboratory experiment, individuals take part in a series of dynamic real-effort contests with intermediate feedback. To solve the identification problem in estimating the causal effect of rank feedback on subsequent effort provision we implement a random multiplier in the first round of each contest. The realization of this multiplier then serves as a valid instrument for rank feedback. While rank feedback has a robust effect on subsequent effort provision on average, an explicit analysis of between-subject heterogeneity reveals that a substantial fraction of participants in fact react entirely opposite than the aggrega…

Interindividual Differences in Treatment Effects based on Structural Equation Models with Latent Variables: An EffectLiteR Tutorial

2019

The investigation of interindividual differences in the effects of a treatment is challenging, because many constructs-of-interest in psychological research such as depression or anxiety are latent variables and modeling heterogeneity in treatment effects requires interactions and potentially nonlinear relationships. In this paper, we present a tutorial of the EffectLiteR approach (Mayer, Dietzfelbinger, Rosseel, & Steyer, 2016) that allows for estimating individual treatment effects based on latent variable models. We describe step by step how to apply the approach using the EffectLiteR software package with data from the multicenter randomized controlled trial of the Social Phobia…