Narrow search
Showing 1 - 10 of 566
Cover Image
Will GDP Growth Increase Happiness in Developing Countries?
Clark, Andrew - 2011
Transition countries is particularly impressive in this respect: average life satisfaction scores closely mirrored changes in GDP …
Persistent link: https://www.econbiz.de/10013127954
Cover Image
Happiness and Economic Growth : Does the Cross Section Predict Time Trends? Evidence from Developing Countries
Easterlin, Richard A. - 2009
sectional relation of happiness to GDP per capita. The point-of-time comparison leads to the expectation that the same absolute … increase in GDP per capita will have a bigger impact on SWB in a poorer than a richer country. In fact there is no significant … rate of growth in GDP per capita significantly positively associated with a greater improvement in SWB. In the developing …
Persistent link: https://www.econbiz.de/10012764679
Cover Image
The Impact of Government Spending on GDP in a Remitting Country
Al‐Abri, Almukhtar S. - 2018
all, on government spending, which, in turn, has an insignificant impact on GDP. The paper discusses some policy …
Persistent link: https://www.econbiz.de/10012914328
Cover Image
Military Draft and Economic Growth in OECD Countries
Keller, Katarina R. I. - 2013
Economic theory predicts that military conscription is associated with static inefficiencies as well as with dynamic distortions of the accumulation of human and physical capital. Relative to an economy with an all-volunteer force, output levels and growth rates should be lower in countries that...
Persistent link: https://www.econbiz.de/10012754360
Cover Image
How Much Can We Trust Causal Interpretations of Fixed-Effects Estimators in the Context of Criminality?
Bjerk, David - 2009
Researchers are often interested in estimating the causal effect of some treatment on individual criminality. For example, two recent relatively prominent papers have attempted to estimate the respective direct effects of marriage and gang participation on individual criminal activity. One...
Persistent link: https://www.econbiz.de/10013155604
Cover Image
Identification and Estimation of Causal Mechanisms and Net Effects of a Treatment Under Unconfoundedness
Flores, Carlos A. - 2009
An important goal when analyzing the causal effect of a treatment on an outcome is to understand the mechanisms through which the treatment causally works. We define a causal mechanism effect of a treatment and the causal effect net of that mechanism using the potential outcomes framework. These...
Persistent link: https://www.econbiz.de/10013158662
Cover Image
Policy Evaluation Using Causal Inference Methods
Fougère, Denis - 2020
This chapter describes the main impact evaluation methods, both experimental and quasi-experimental, and the statistical model underlying them. Some of the most important methodological advances to have recently been put forward in this field of research are presented. We focus not only on the...
Persistent link: https://www.econbiz.de/10012843149
Cover Image
Regression Discontinuity Design with Continuous Measurement Error in the Running Variable
Davezies, Laurent - 2017
Since the late 90s, Regression Discontinuity (RD) designs have been widely used to estimate Local Average Treatment Effects (LATE). When the running variable is observed with continuous measurement error, identification fails. Assuming non-differential measurement error, we propose a consistent...
Persistent link: https://www.econbiz.de/10012955015
Cover Image
Machine Learning Estimation of Heterogeneous Causal Effects : Empirical Monte Carlo Evidence
Knaus, Michael - 2019
We investigate the finite sample performance of causal machine learning estimators for heterogeneous causal effects at different aggregation levels. We employ an Empirical Monte Carlo Study that relies on arguably realistic data generation processes (DGPs) based on actual data. We consider 24...
Persistent link: https://www.econbiz.de/10012894534
Cover Image
New Evidence on Linear Regression and Treatment Effect Heterogeneity
Słoczyński, Tymon - 2015
It is standard practice in applied work to rely on linear least squares regression to estimate the effect of a binary variable ("treatment") on some outcome of interest. In this paper I study the interpretation of the regression estimand when treatment effects are in fact heterogeneous.I show...
Persistent link: https://www.econbiz.de/10013012020