Beyond GDP and Back: What Is the Value-Added by Additional Components of Welfare Measurement?

Recently, building on the highly polarizing Stiglitz report, a growing literature suggests that statistical offices and applied researchers explore other aspects of human welfare apart from material well-being, such as job security, crime, health, environmental factors and subjective perceptions. To explore the additional information of these indicators, we analyze data on the macro level from the German Federal Statistical Office combined with micro level data from the German SOEP (1991-2008) on the personal work situation and subjective feelings concerning several aspects of life. Employing the indicators suggested by the Stiglitz Report, we find that much of the variation in many well-being measures can indeed be captured well by the hard economic indicators as used in the literature, especially by GDP and the unemployment rate. This suggests that the hard indicators are still a reasonable and quite robust gauge of well-being of a country. And yet, we also see that these correlations are far from perfect, thus giving considerable hope that there is room for a broader statistical reporting.Stiglitz Commission, Stiglitz Report, Beyond GDP, welfare measurement, life satisfaction

Beyond GDP and Back: What is the Value-added by Additional Components of Welfare Measurement?

Recently, building on the highly polarizing Stiglitz report, a growing literature suggests that statistical offices and applied researchers explore other aspects of human welfare apart from material well-being, such as job security, crime, health, environmental factors and subjective perceptions. To explore the additional information of these indicators, we analyze data on the macro level from the German Federal Statistical Office combined with micro level data from the German SOEP (1991–2008) on the personal work situation and subjective feelings concerning several aspects of life. Employing the indicators suggested by the Stiglitz Report, we find that much of the variation in many well-being measures can indeed be captured well by the hard economic indicators as used in the literature, especially by GDP and the unemployment rate. This suggests that the hard indicators are still a reasonable and quite robust gauge of well-being of a country. And yet, we also see that these correlations are far from perfect, thus giving considerable hope that there is room for a broader statistical reporting.Stiglitz Commission; Stiglitz Report; beyond GDP; welfare measurement; life satisfaction

Beyond GDP and Back: What is the Value-Added by Additional Components of Welfare Measurement?

Recently, building on the highly polarizing Stiglitz report, a growing literature suggests that statistical offices and applied researchers explore other aspects of human welfare apart from material well-being, such as job security, crime, health, environmental factors and subjective perceptions. To explore the additional information of these indicators, we analyze data on the macro level from the German Federal Statistical Office combined with micro level data from the German SOEP (1991-2008) on the personal work situation and subjective feelings concerning several aspects of life. Employing the indicators suggested by the Stiglitz Report, we find that much of the variation in many well-being measures can indeed be captured well by the hard economic indicators as used in the literature, especially by GDP and the unemployment rate. This suggests that the hard indicators are still a reasonable and quite robust gauge of well-being of a country. And yet, we also see that these correlations are far from perfect, thus giving considerable hope that there is room for a broader statistical reporting.Stiglitz Commission, Stiglitz Report, Beyond GDP, Welfare Measurement, Life Satisfaction

Beyond GDP and Back: What is the Value-Added by Additional Components of Welfare Measurement?

Recently, building on the highly polarizing Stiglitz report, a growing literature suggests that statistical offices and applied researchers explore other aspects of human welfare apart from material well-being, such as job security, crime, health, environmental factors and subjective perceptions. To explore the additional information of these indicators, we analyze data on the macro level from the German Federal Statistical Office combined with micro level data from the German SOEP (1991-2008) on the personal work situation and subjective feelings concerning several aspects of life. Employing the indicators suggested by the Stiglitz Report, we find that much of the variation in many well-being measures can indeed be captured well by the hard economic indicators as used in the literature, especially by GDP and the unemployment rate. This suggests that the hard indicators are still a reasonable and quite robust gauge of well-being of a country. And yet, we also see that these correlations are far from perfect, thus giving considerable hope that there is room for a broader statistical reporting.Stiglitz Commission, Stiglitz Report, Beyond GDP, welfare measurement, life satisfaction

A symmetrical method to obtain shear moduli from microrheology

Passive microrheology typically deduces shear elastic loss and storage moduli from displacement time series or mean-squared displacement (MSD) of thermally fluctuating probe particles in equilibrium materials. Common data analysis methods use either Kramers-Kronig (KK) transformations or functional fitting to calculate frequency-dependent loss and storage moduli. We propose a new analysis method for passive microrheology that avoids the limitations of both of these approaches. In this method, we determine both real and imaginary components of the complex, frequency-dependent response function $\chi(\omega) = \chi^{\prime}(\omega)+i\chi^{\prime\prime}(\omega)$ as direct integral transforms of the MSD of thermal particle motion. This procedure significantly improves the high-frequency fidelity of $\chi(\omega)$ relative to the use of KK transformation, which has been shown to lead to artifacts in $\chi^{\prime}(\omega)$. We test our method on both model data and experimental data. Experiments were performed on solutions of worm-like micelles and dilute collagen solutions. While the present method agrees well with established KK-based methods at low frequencies, we demonstrate significant improvement at high frequencies using our symmetric analysis method, up to almost the fundamental Nyquist limit.Comment: 8 pages, 4 figure

Beyond GDP and Back: what is the value-added by additional components of welfare measurement?

"Recently, building on the highly polarizing Stiglitz report, a growing literature suggests that statistical offices and applied researchers explore other aspects of human welfare apart from material well-being, such as job security, crime, health, environmental factors and subjective perceptions. To explore the additional information of these indicators, we analyze data on the macro level from the German Federal Statistical Office combined with micro level data from the German SOEP (1991-2008) on the personal work situation and subjective feelings concerning several aspects of life. Employing the indicators suggested by the Stiglitz Report, we find that much of the variation in many well-being measures can indeed be captured well by the hard economic indicators as used in the literature, especially by GDP and the unemployment rate. This suggests that the hard indicators are still a reasonable and quite robust gauge of well-being of a country. And yet, we also see that these correlations are far from perfect, thus giving considerable hope that there is room for a broader statistical reporting." (author's abstract

Frontal Metabolite Concentration Deficits in Opiate Dependence Relate to Substance Use, Cognition, and Self-Regulation.

ObjectiveProton magnetic resonance spectroscopy (1H MRS) in opiate dependence showed abnormalities in neuronal viability and glutamate concentration in the anterior cingulate cortex (ACC). Metabolite levels in dorsolateral prefrontal cortex (DLPFC) or orbitofrontal cortex (OFC) and their neuropsychological correlates have not been investigated in opiate dependence.MethodsSingle-volume proton MRS at 4 Tesla and neuropsychological testing were conducted in 21 opiate-dependent individuals (OD) on buprenorphine maintenance therapy. Results were compared to 28 controls (CON) and 35 alcohol-dependent individuals (ALC), commonly investigated treatment-seekers providing context for OD evaluation. Metabolite concentrations were measured from ACC, DLPFC, OFC and parieto-occipital cortical (POC) regions.ResultsCompared to CON, OD had lower concentrations of N-acetylaspartate (NAA), glutamate (Glu), creatine +phosphocreatine (Cr) and myo-Inositol (mI) in the DLPFC and lower NAA, Cr, and mI in the ACC. OD, ALC, and CON were equivalent on metabolite levels in the POC and γ-aminobutyric acid (GABA) concentration did not differ between groups in any region. In OD, prefrontal metabolite deficits in ACC Glu as well as DLPFC NAA and choline containing metabolites (Cho) correlated with poorer working memory, executive and visuospatial functioning; metabolite deficits in DLPFC Glu and ACC GABA and Cr correlated with substance use measures. In the OFC of OD, Glu and choline-containing metabolites were elevated and lower Cr concentration related to higher nonplanning impulsivity. Compared to 3 week abstinent ALC, OD had significant DLPFC metabolite deficits.ConclusionThe anterior frontal metabolite profile of OD differed significantly from that of CON and ALC. The frontal lobe metabolite abnormalities in OD and their neuropsychological correlates may play a role in treatment outcome and could be explored as specific targets for improved OD treatment

Robust long-distance entanglement and a loophole-free Bell test with ions and photons

Two trapped ions that are kilometers apart can be entangled by the joint detection of two photons, each coming from one of the ions, in a basis of entangled states. Such a detection is possible with linear optical elements. The use of two-photon interference allows entanglement distribution without interferometric sensitivity to the path length of the photons. The present method of creating entangled ions also opens up the possibility of a loophole-free test of Bell's inequalities.Comment: published versio