The OECD Better Life Initiative: How's Life? and the Measurement of Well‐Being

This paper presents the framework used by the OECD for defining and measuring well‐being, developed as part of the OECD Better Life Initiative launched in 2011. This framework measures well‐being by considering 11 dimensions covering both current material conditions and quality of life, while also recognizing the importance of taking account the sustainability of well‐being in the future. This framework has been populated with indicators for each dimension, whose selection has relied on international standards on measurement and was made in consultation with experts and National Statistical Offices of OECD countries. The paper also discusses the pros and cons of various approaches for presenting and disseminating information on multidimensional well‐being to different audiences—including the OECD Better Life Index, an interactive web tool. The paper concludes by illustrating the progress made in developing measures of well‐being and outlines the statistical agenda ahead to improve existing indicators and develop new ones.     

Would You Like to Know What Makes People Happy? An Overview of the Datasets on Subjective Well‐Being

This article provides a guide for young economists wishing to conduct well‐being research. It describes the different data sources commonly used in the study of people's subjective well‐being, as well as provides a brief discussion on the types of well‐being measures available within each dataset.     

Who Supports Redistribution? Subjective Income Inequality in Japan and China

Governments reduce income inequality with redistribution policies. These policies are often contentious because people who live in the same country have different preferences for redistribution. Some prefer the government to do more while others prefer the government to do less. Hence what explains the difference in preferences? Using the methodologically suitable cases of Japan and China, this paper contributes to the redistributive preference literature by proposing an alternative theory of how a person's subjective evaluation of and experiences with income inequality—subjective income inequality—affect his/her redistributive preferences. Specifically, a person who feels that his/her country's level of income inequality is too high is more likely to support government redistribution. But contrary to extant studies, this paper finds that a spatial locality's level of objective income inequality does not systematically affect its citizens' preference for redistribution. This finding has implications for redistribution policies because government policies in Japan and China—as with other countries—narrowly frame income inequality in the objective dimensions by pegging it to objective income inequality indices(e.g., Gini ratio), thereby ignoring the more important subjective dimensions of income inequality.     

Banking Market Structure and Macroeconomic Stability: Are Low‐Income Countries Special?

Does the structure of banking markets affect macroeconomic volatility and, if yes, is this link different in low‐income countries? In this paper, we explore the channels through which the structure of banking markets affects macroeconomic volatility. Our research has three main findings. First, we study whether idiosyncratic volatility at the bank level can impact aggregate volatility. We find weak evidence for a link between granular banking sector volatility and macroeconomic fluctuations. Second, a higher share of domestic credit to GDP coincides with higher volatility in the short run. Third, a higher level of cross‐border asset holdings increases volatility in low‐income countries.     

ACE versus CBIT: Which is Better for Investment and Welfare?

This article analyses the switch to an Allowance for CorporateEquity (ACE) or to a Comprehensive Business Income Tax (CBIT)type of tax system starting from the present German tax system.We show that in case an ACE type of reform is financed by anincrease in the VAT and not in the profit tax, it might be preferredto a CBIT even in the context of an open economy. Moreover,the required exogenous increase in the profit tax rate cannotensure revenue neutrality on its own due to the negative generalequilibrium effects it triggers on the whole economy. For aCBIT, the exogenous reduction in the tax rates on corporateand non-corporate profits leads to better results than whenwe allow for an endogenous change in the VAT. The best resultsarise when the CBIT is accompanied by a provision for immediatewrite-off and a lower profit tax or when the ACE with no additionalcapital gains taxation on household side is financed by an increasein the VAT. (JEL-Classification: C68, D58, D92, E62, H25.)     

Financial Market Data Versus Accounting Data: Which Better Explains Stock Returns?

This paper presents the comparison of how financial market and accounting data affect stock prices and returns. The goal was to ascertain whether financial information or accounting data dominate in evaluating stock prices. Most valuation techniques used by firms are based on models using either accounting variables (earnings, book value, cash flows, research and development expenses) or financial market data (e.g. beta, market value, interest). The answer is of great importance for valuators and investors as it will help them focus on the most important variables and make better valuations and choices. This answer is also important for accounting standard setters as the preferred method will serve as an indicator for the quality of financial statements and their importance to users. The paper contributes to the existing literature in the fields of value relevance of accounting information and firm valuation and accounting standards (e.g. International Financial Reporting Standards, United States General Accepted Accounting Principles). To answer this question, share prices were estimated based on financial data using the capital asset pricing model and for accounting data, using Ohlson’s model. The results were tested for both methodologies by comparing estimated share prices with actual ones. The greater the correlation between the two variables the better the explanatory power of the model. The focus was on S&P 500 firms for the period 2002–2017.

     

Indian Income Inequality, 1922‐2015: From British Raj to Billionaire Raj?

We combine household surveys and national accounts, as well as recently released tax data to track the dynamics of Indian income inequality from 1922 to 2015. According to our benchmark estimates, the top 1 percent of earners captured less than 21 percent of total income in the late 1930s, before dropping to 6 percent in the early 1980s and rising to 22 percent in the recent period. Our results appear to be robust to a range of alternative assumptions seeking to address numerous data limitations. These findings suggest that much more can be done to promote inclusive growth in India. We also stress the need for more transparency on income and wealth statistics, which is key to allow an informed democratic debate on inequality.     

Income inequality between Chinese regions: newfound harmony or continued discord?

This paper develops an improved test of economic convergence or divergence using time series methods by introducing nonlinear trends in the form of logarithmic trend functions into the vector error correction model. The usefulness of the method is illustrated in an analysis of the growth pattern between Chinese regions in 1952–2007. Comparing all combinations of regional pairs, the analysis yields support for economic divergence in roughly half of the cases. In the other half, we instead find that regions have grown while maintaining stable income differences. As such, the results show the co-existence of divergence and conditional convergence among China’s regions.     

Economic Growth in Canada and the United States: Supply‐Push or Demand‐Pull?

Understanding the nature of structural change and the sources of economic growth of an economy, especially the relative importance of different industries, is essential for policy‐making. This paper estimates industry contribution to economic growth in both Canada and the United States. It argues that industry contribution should be evaluated on the basis of the performance of an industry in terms of creating economic value relative to other industries. In particular, it calls for the quantity and the price effects, which is consistent with real GDP in the chained‐Fisher index that values the industry more when its price rises and less when its price declines. This is an important departure from the traditional methodologies that consider only quantity effect. This paper shows that the contribution from demand‐driven industries is significantly more than the finding based on traditional thinking.     

Has Labor Income Become More Volatile? Evidence from International Industry‐Level Data

Changes in labor market institutions and the increasing integration of the world economy may affect the volatility of capital and labor incomes. This article documents and analyzes changes in income volatility using data for 11 industrialized countries, 22 industries and 35 years (1970–2004). The article has four main findings. First, the unconditional volatility of labor income has declined in parallel to the decline in macroeconomic volatility. Second, the industry‐specific, idiosyncratic component of labor income volatility has hardly changed. Third, cross‐sectional heterogeneity is substantial. If anything, the labor incomes of high‐ and low‐skilled workers have become more volatile relative to the volatility of capital incomes. Fourth, the volatility of labor income relative to the volatility of capital income declines in the labor share. Trade openness has no clear‐cut impact.     

U or Inverted‐U? That Is the Question

Fields ( The Economic Journal , vol. 103, 1993, pp. 1228–35) provides a forceful argument in favor of a U-shaped path for inequality during a period of high-income-sector enlargement in a dual-economy model. This paper explores the assumptions necessary to derive Fields's controversial result and demonstrates that in fact a U-shaped pattern is possible using the Atkinson index, but some bizarre assumptions about inequality aversion are required.     

Severe or gentle bankruptcy law: Which impact on investing and financing decisions?

This research investigates how legal sanctions prevailing under bankruptcy may impact on debt contracting and on investing decision. We model firms having the opportunity to engage (or not) faulty management. In case of default, the firms may escape costly bankruptcy by reaching a private agreement with the bank. We show that such renegotiation process may depend on the level of severity of bankruptcy law.Our approach helps in answering the following key questions: can bankruptcy costs always be internalized? Who benefits from accrued severity? Should the creditors accept a certain level of moral hazard from their debtors? Should bankruptcy law be extremely severe in order to ensure ex-ante efficiency? Does such severity depend on the financial environment?The model focuses on three equilibriums. The first equilibrium describes honest firms that choose the best investment project (ex-ante efficiency). Here, we show that bankruptcy costs can be avoided through private renegotiation (ex-post efficiency). Yet, the legislator cannot directly implement this equilibrium as it does not depend on the level of legal sanctions. A second equilibrium describes tricky firms turning to the less profitable and riskiest project. Here, default is still privately resolved: the occurrence of such equilibrium can be avoided owing to a minimal amount of legal sanctions that depend on the level of interest rate. Last, we consider firms that adopt mixed strategies regarding their investment policy. Here, two post-default bargains prevail (pooling or separating) and costly bankruptcy may occur.Simulations illustrate how the bank finally chooses between these equilibriums while the legal environment becomes more severe. For moderate levels of legal sanctions, banks may accept a certain level of faulty management, expecting to take advantage of bankruptcy punishment. An increase in sanctions, however, has a compelling effect on the companies towards honoring their commitments. Once the optimal equilibrium prevails, any additional increase in sanctions is ineffective as the players' strategies no longer depend on the legal environment. As a result, extreme severity is not required to ensure both ex-ante and ex-post efficiencies. Last, we find that a more severe bankruptcy law increases the protection of banks and may result in reduction of the contractual interest rate, which on the other hand benefits the debtors.     

The Trickle‐down Effect of the Mining Boom in Australia: Fact or Myth?

This paper examines the relationship between the output levels in the mining sector and various non‐mining sectors in an attempt to understand the role of the mining sector in Australia. The unobserved components time series model is used to estimate the effects of the output gap and the growth regime in the mining sector on the output level of each of several non‐mining sectors. Overall, the estimates obtained do not suggest an overwhelmingly positive effect running from the mining sector to other production and services sectors, implying that the trickle‐down effect of the mining boom may be a myth.     

Sovereign default: Which shocks matter?

This paper analyses a small open economy that wants to borrow from abroad, cannot commit to repay debt but faces costs if it decides to default. The model generates analytical expressions for the impact of shocks on the incentive compatible level of debt. Debt reduction generated by severe output shocks is no more than a couple of percentage points. In contrast, shocks to world interest rates can substantially affect the incentive compatible level of debt.     

Model structure or data aggregation level: Which leads to greater bias of results?

The aim of this paper is to provide a first step toward a systematic sensitivity analysis of a system of linked models. We focus on two fundamental characteristics: the model structure and the data aggregation level. Employing the Global Trade Analysis Project (GTAP) framework, we combine the general equilibrium (GE) and partial equilibrium (PE) versions of the GTAP model, each of which is then run with a highly aggregated and a highly disaggregated version of the GTAP database. Based on this experimental setting, we quantify the biases resulting from the data aggregation, the model structure and the interaction of these two model characteristics. We conclude that data aggregation as well as the related false competition and tariff averaging influence the results significantly more than the model structure, whereas the bias stemming from the interaction of the two model characteristics is negligible.     

Who Exports Better Quality Products to Smaller or More Distant Markets?

The role of across‐firm differences in product quality and firms' competitiveness in determining the spatial patterns of within‐product export unit values across destinations is examined in this paper. Using product level export data, it is shown that the average export unit value of a product shipped from the USA or Korea increases with distance and decreases with destination market's size. However, within‐product average unit values for products exported from China and India decrease with distance and increase with market size. To interpret these different spatial patterns of unit values across exporting countries, model of quality heterogeneity is developed in which firms differ in their workers' skill level and higher‐skilled workers show greater productivity in performing tasks that improve product quality. The model predicts that in relatively skill‐abundant countries, exporting firms specialize in high‐quality products using relatively cheap skilled labor, whereas, in relatively skill‐scarce countries, firms that produce lower‐quality products are more competitive.     

Who you are or whom you know? Consumption interdependences in social networks

This paper presents an analysis of whether a consumer's decision to switch from one mobile phone provider to another is driven by individual consumer characteristics or by actions of other consumers in her social network. Such consumption interdependences are estimated using a unique dataset, which contains transaction data based on anonymized call records from a large European mobile phone carrier to approximate a consumer's social network. Results show that network effects have an important impact on consumers’ switching decisions: switching decisions are interdependent between consumers who interact with each other and this interdependence increases in the closeness between two consumers as measured by the calling data. In other words, if a subscriber switches carriers, she is also affecting the switching probabilities of other individuals in her social circle. The paper argues that such an approach is of high relevance to both switching of providers and to the adoption of new products.     

Macroeconomic Stability or Cycles? The Role of the Wage‐Price Spiral

We formulate a small and stylised dynamic macroeconomic model, and study how different specifications of the supply side affect the model's dynamic properties. The wage‐price equilibrium‐correction model (ECM) and the Phillips curve model (PCM) that both can be used to represent the supply side of a New Keynesian macro model, are synthesised in a generalised model of the wage‐price spiral. We show that the choice of ECM or PCM has implications for the long‐run stability of the macro model, without need of a NAIRU. We also find that the range of theoretically admissible dynamics is wide. For example, both the ECM and PCM may display endogenous cyclical fluctuations in inflation and unemployment, showing that even simple structures can give rise to complex dynamics. In practice that may entail that forecasting the effects of shocks and policy changes is difficult even in the best of circumstances.     

Smoothing Income against Crop Flood Losses in Amazonia: Rain Forest or Rivers as a Safety Net?

This article examines the role of ex post labor supply in smoothing income in response to crop losses caused by large floods among riverine households in the Peruvian Amazon, where rich environmental endowments permit a variety of resource extractive activities and coping responses. The paper finds that households respond to crop losses primarily by intensifying fishing effort, not by relying on gathering of nontimber forest products, hunting, or asset liquidation. This ex post labor adjustment helps to smooth total income against small crop losses but less well against large crop losses. Both relatively nonpoor households with better fishing capital and poor young households with a physical labor advantage employ this natural insurance in rivers.