Heterogeneity in health responses and anchoring vignettes

In this article we employ the tool of anchoring vignettes to analyze gender differences in self-assessments of health in Europe. We propose and estimate an extension of the basic vignette model for correcting the lack of interpersonal comparability of self-assessments on a categorical scale. Our extension allows for potential correlation in the self-assessments of health on different domains by including an unobservable individual effect, common to all domains but different across individuals, in both the thresholds and the equations for the latent health problems. After applying this model to the SHARE data, we find that vignettes help narrow gender differences in self-assessments of health, although these differences are not entirely eliminated.     

Decomposing differences in health and inequality using quasi-objective health indices

People in Canada and the United States often make claims regarding whose country has a better health system. Several researchers have attempted to address this question by analysing subjective health measures in the two countries, thus assuming a common definition of ‘good’ health. Using data from the Joint Canada/US Survey of Health, which provides rich and comparable health information for the two countries, I generate two quasi-objective health indices and show that Canadians and Americans define ‘good’ health differently. After controlling for cross-country reporting heterogeneity, health differences between Americans and Canadians are eliminated for intermediate health statuses, while health differences at the tails of the health distribution lead to slightly better average population health in Canada. With respect to health inequality, my results show that income and education gradients increase steeply with poor health in both countries. Hence, considering differences along the health distribution is crucial when assessing population health or health inequality.     

Are Americans Really Less Happy with Their Incomes?

Recent economic research on international comparisons of subjective well‐being suffers from several important biases due to the potential incomparability of response scales within and across countries. In this paper we concentrate on self‐reported satisfaction with income in two countries: the Netherlands and the U.S. The comparability problem is addressed by using anchoring vignettes. We find that in the raw data, Americans appear decidedly less satisfied with their income than the Dutch. It turns out however that after response scale adjustment based on vignettes, the distribution of satisfaction in the two countries is essentially identical. In addition, we find that the within‐country cross‐sectional effect of income on satisfaction—a key parameter in the recent debate in the economic literature—is significantly underestimated, especially in the U.S., when differences in response scales are not taken into account.     

Natural capital, subjective well-being, and the new welfare economics of sustainability: Some evidence from cross-country regressions

The measurement of natural capital and its management during the economic development process are important aspects of the capital approach to sustainable development. However, the assessment of social welfare in terms of genuine savings (or changes in total wealth per capita) is arguably too limited. This paper tries to make a case for the incorporation of subjective well-being measures in debates about sustainable development by exploring the macro-level relationship between subjective well-being and natural capital in a cross-country setting. It is tested whether natural capital per capita is correlated with subjective well-being in a sample of fifty-eight developed and developing countries, using natural capital data from the World Bank's Millennium Capital Assessment. Bivariate regressions indicate that it is. When multiple regression models are estimated that include (a) major country-level determinants of subjective well-being (GNI per capita, social capital, income distribution, unemployment, inflation), and (b) regional dummy variables for ex-Soviet Union and Latin American countries, the positive correlation remains. The role of data outliers is carefully explored, and the sensitivity of the results to the use of alternative subjective well-being measures (i.e. life satisfaction, happiness, and a combined life satisfaction and happiness index) is investigated. This does not change the nature of the results. The findings arguably strengthen the case for a ‘new welfare economics of sustainability’ that takes subjective well-being measures into account.     

Corruption and the effects of economic freedom

The prediction that economic freedom is beneficial in reducing corruption has not been found to be universally robust in empirical studies. The present work reviews this relationship by using firms' data in a cross-country survey and argues that approaches using aggregated macro data have not been able to explain it appropriately. We model cross-country variations of the microfounded economic freedom–corruption relationship using multilevel models. Additionally, we analyse this relationship by disentangling the determinants for several components of economic freedom because not all areas affect corruption equally. The results show that the extent of the macro-effects on the measures of (micro)economic freedom for corruption, identified by the degree of economic development of a country, can explain why a lack of competition policies and government regulations may yield more corruption. Estimations for Africa and transition economy subsamples confirm our conjectures.     

Can specific policy indicators identify reform priorities?

Several detailed cross-country datasets measuring specific policy indicators relevant to business regulation and government integrity have been developed in recent years. The promise of these indicators is that they can be used to identify specific reforms that policymakers and aid donors can target in their efforts to improve the regulatory and institutional environment. Doing so, however, requires evidence on the partial effects of the many specific policy choices reflected in such datasets. In this paper we use Bayesian model averaging (BMA) to document the cross-country partial correlations between detailed policy indicators and several measures of regulatory and institutional outcomes. We find major instability in the set of policy indicators identified by BMA as important partial correlates of similar outcomes: specific policy indicators that matter for one outcome are, on average, not important correlates of other closely-related outcomes. This finding illustrates the difficulties in using highly-specific policy indicators to identify reform priorities using cross-country data.     

Economic growth,financial crisis,and property rights: observer bias in perception-based measures

Recent years have seen an increasing number of empirical papers using subjective indicators in cross-country quantitative analyses of growth. We evaluate potential observer biases in the three most commonly employed subjective measures of property rights – taken from the Heritage Foundation, Fraser Institute, and World Economic Forum. Drawing on cross-national data for 156 countries during the years 2000 – 2010, we use Granger causality tests to assess whether exposure to recent information on economic performance introduces bias to coding of property rights scores. Further, we evaluate whether the Great Recession led observers to change property rights scores in advanced nations. We find consistent evidence that observers who provide subjective coding of property rights scores rated nations more positively when their economic performance was positive, and more negatively during the recent global financial crisis. Taken together, our findings suggest that coding of commonly employed property rights measures are subject to substantial observer bias.     

The Effects of Business Cycles on Growth - Time Series Evidence for the G7-countries Using Survey-based Measures of the Business Cycle

The paper analyses whether business cycle fluctuations affectlong-run growth. This hypothesis is tested using quarterly timeseries for the G7-countries. A vector-autoregressive model containingtotal factor productivity and a survey-based direct measureof the business cycle is estimated. In this vector-autoregression,technology and business cycle shocks are identified based onthe assumption that productivity-improving measures need sometime and, thus, there is no contemporaneous response of productivityto a business cycle innovation. The results suggest that positivebusiness cycles shocks have a small negative impact on long-runproductivity. However, the results appear to be not robust againstchanges in the empirical model.(JEL E32, O41)     

Trade openness and child health: a heterogeneous panel cointegration analysis

ABSTRACT

In this paper, we examine the impact of trade openness on child health, based on a cross-country panel data set covering 66 countries for the period 1960–2013. To account for the time-series properties of the data and potential cross-country heterogeneity in the impact of trade openness, the study employs heterogeneous panel cointegration techniques that are robust to omitted variables and endogeneity problems. The results reveal that trade openness and child health are cointegrated, and that trade works to reduce the child mortality rate significantly in the long-run. The results are robust to the methodology and trade openness and child health indicators employed, as well as to the presence of cross-sectional dependence and changes in the sample composition. The findings also suggest that the impact of trade on child health tends to be stronger in countries with better institutional quality, lower corruption, good governance, political stability, and sound policies that promote private sector development.     

Barro's fertility equations: the robustness of the role of female education and income

Barro and Lee (1994) and Barro and Sala-i-Martin (1995) find that real per-capita GDP and both male and female education have important effects on fertility in their cross-country empirical studies. In order to assess the robustness of their results, their estimated models are subjected to specification and diagnostic testing, the effects on the model of using the improved Barro and Lee (1996) cross-country data on educational attainment of the population aged 15 and over are examined, and the different specifications used by Barro and Lee and by Barro and Sala-i-Martin compared. The results obtained suggest that their fertility equations do not perform well in terms of diagnostic testing, and are very sensitive to the use of different vintages of the educational attainment proxies and of the Summers-Heston cross-country income data. A robust explanation of fertility, to link with empirical growth equations, has, therefore, not yet been found; further work is required in this area.     

Bayesian learning and convergence to Nash equilibria without common priors

Summary. Consider an infinitely repeated game where each player is characterized by a “type” which may be unknown to the other players in the game. Suppose further that each player's belief about others is independent of that player's type. Impose an absolute continuity condition on the ex ante beliefs of players (weaker than mutual absolute continuity). Then any limit point of beliefs of players about the future of the game conditional on the past lies in the set of Nash or Subjective equilibria. Our assumption does not require common priors so is weaker than Jordan (1991); however our conclusion is weaker, we obtain convergence to subjective and not necessarily Nash equilibria. Our model is a generalization of the Kalai and Lehrer (1993) model. Our assumption is weaker than theirs. However, our conclusion is also weaker, and shows that limit points of beliefs, and not actual play, are subjective equilibria. Received: March 3, 1995; revised version: February 17, 1997     

Convergence or divergence in cross-country growth?

In the traditional empirical convergence literature, a negative coefficient on initial income in a cross-country growth regression is interpreted as evidence of poor countries growing faster than richer ones. A key assumption in this work is that the relationship between initial income and income growth is linear. The linearity assumption is challenged in some new growth theories, and studies adopting an alternative (semi-parametric or nonlinear) econometric methodology provide support for a nonlinear specification. This paper finds evidence for nonlinear convergence. Using semi-parametric estimation we find that convergence occurs among countries with very low and very high initial incomes, suggesting that convergence clubs characterize the cross-country growth process. Our results provide further evidence for multiple-regime steady states.     

跨国投资风险评估的响应矩阵分析方法

对跨国投资风险做出了明确的概念界定。基于此,对相应的风险评估提出了一个可量化的分析框架和方法体系,并据此构建了将跨国投资的潜在投资收益与风险成本进行对接的跨国投资风险评估模型。该模型的核心是结合阶段适应性、风险相对性、风险与回报的共存性等特点而构建的风险响应矩阵。区别于其他类似研究,该评估模型及其响应矩阵结合定性分析与定量指标,在给出投资机会与风险排序的数值级别的同时,提供更为直观的投资机会与风险排序的图示。该模型及矩阵是构建具有高度可操作性的国家风险评估体系的重要环节。     

SOCIAL COMPARISON AND SUBJECTIVE WELL‐BEING: DOES THE HEALTH OF OTHERS MATTER?

The importance of social comparison in shaping individual utility has been widely documented by subjective well‐being literature. So far, income and unemployment have been the main dimensions considered in social comparison. This paper aims to investigate whether subjective well‐being is influenced by inter‐personal comparison with respect to health. Thus, we study the effects of the health of others and relative health hypotheses on two measures of subjective well‐being: happiness and subjective health. Using data from the Italian Health Conditions survey, we show that a high incidence of chronic conditions and disability among reference groups negatively affects both happiness and subjective health. Such effects are stronger among people in the same condition. These results, robust to different econometric specifications and estimation techniques, suggest the presence of some sympathy in individual preferences with respect to health and reveal that other people's health status serves as a benchmark to assess one's own health condition.     

Mass Society and Political Conflict: Toward a Reconstruction of Theory

Many recent studies in economics have uncovered the economic and socio-economic factors that are most related to differences among nations in citizens' self-reported levels of well-being (SWB). However, these cross-country studies have generally not taken into account the fact that around the SWB national average, a considerable spread of scores exists within nations. In an extreme case, a country may be in the midst of a major social upheaval, with a large group of dispossessed and disadvantaged individuals, yet this fact is completely hidden by the arithmetical average. Using cross-country data with diverse economic and socio-economic characteristics and the latest available dataset on well-being, we uncover the factors that appear to be the most highly correlated with the inequality of well-being within nations. We find the inequalities in individual incomes and quality of health, and the level of institutional qualities to be most important in explaining the inequalities of well-being.     

International transmission of the business cycle in a multi-sector model

Standard multi-country models do not replicate important features of the international transmission of business cycles, predicting cross-country correlations of output and consumption which are, respectively, too low and too high. In this paper we modify the supply side of a two-country model by adding multiple sectors and trade in intermediate goods. The model generates a higher cross-country correlation of output than standard one-sector models. It also predicts cross-country correlations of employment and investment that are closer to the data. We analyze the relative impact of multiple sectors, trade in intermediate goods, imperfect substitution between domestic and foreign goods, home preference, capital adjustment costs, and capital depreciation in order to pinpoint the features which move the model's predictions closer to the data.     

If not only GDP,what else? Using relational goods to predict the trends of subjective well-being

In the last decade, a lively interdisciplinary discussion has grown around the evidence that, in the long-run, people’s subjective well-being is not significantly correlated with income growth. In other words, GDP growth does not predict the long run growth of subjective well-being. In this paper, we argue that there exists a different predictor of subjective well-being that works pretty well: sociability, i.e. the quality and quantity of social relationships (also referred to as relational goods). More precisely, we illustrate the role of sociability as a predictor of well-being, presenting the available evidence at both the within-country and the worldwide level. In particular, we discuss recent evidence from US cross-sectional data (General Social Survey, 1975–2004), cross-country time series (World Value Survey 1980–2005), and German panel data (German Socio-Economic Panel, 1996–2007). We conclude by indicating the most relevant open issues and suggesting future lines of research.     

Growth dynamics in a model of endogenous time preference

We incorporate endogenous time preference in a simple Diamond-type economy with production and analyze the resulting dynamics both for the competitive and command equilibrium. We assume an individual's rate of time preference is decreasing in consumption (decreasing marginal impatience) and show that this intuitively more appealing assumption is consistent with a stable, non-trivial competitive equilibrium. Analysis of the competitive equilibrium indicates that the observed ‘non-convergence’ of cross-country per capita income could partially be explained by cross-country differences in ‘innate patience’. Examination of the local dynamics around the ‘optimal’ solution suggests that this particular preference structure exhibiting diminishing marginal impatience may generate endogenous business cycle phenomenon.     

Natural Resources and Missing Inputs in International Productivity Comparisons*

Standard theory for cross-country productivity comparisons assumes all countries use the same factor inputs in production. This assumption is violated when including natural resources, such as oil, gas and gold, because countries do not extract the full set of resources. In this paper we propose a solution by viewing it as a “missing goods” problem and assigning missing inputs a reservation price equal to the world resource price. We show that this has a substantial impact on relative productivity levels for countries heavily reliant on natural resources for generating their income. Under our new productivity measure, resource-rich countries are no longer uncommonly productive.     

The composition of growth matters for poverty alleviation

This paper contributes to explain the cross-country heterogeneity of the poverty response to changes in economic growth. It does so by focusing on the structure of output growth itself. The paper presents a two-sector theoretical model that clarifies the mechanism through which the sectoral composition of growth and associated labor intensity can affect workers' wages and, thus, poverty alleviation. Then, it presents cross-country empirical evidence that analyzes, first, the differential poverty-reducing impact of sectoral growth at various levels of disaggregation, and, second, the role of unskilled labor intensity in such differential impact. The paper finds evidence that not only the size of economic growth but also its composition matters for poverty alleviation, with the largest contributions from unskilled labor-intensive sectors (agriculture, construction, and manufacturing). The results are robust to the influence of outliers, endogeneity concerns, alternative explanations, and various poverty measures.