“When Life Gives You Lemons”: Using Cross-Sectional Surveys to Identify Chronic Poverty in the Absence of Panel Data

At the core of poverty eradication is the need to eliminate that poverty that is persistent over time (chronic poverty). Unfortunately, traditional approaches to identifying chronic poverty require longitudinal data that is rarely available. In its absence, this paper proposes an alternative approach that only requires 1 year of cross-sectional data on monetary and non-monetary poverty. It puts forth two conjectures and contends that the combined profile of a household as both income poor and multidimensionally poor can be used as a proxy of that household being chronically income poor. To explore the viability of this approach, we use a probit model and longitudinal data for three Latin American countries to estimate households’ probabilities of remaining in income poverty based on their past income and multidimensional poverty statuses. We find empirical support for the approach that is significant, consistent across countries, and robust to various controls and periods of analysis.     

Non-monetary poverty in Togo: a multidimensional approach

The monetary approach is not sufficient to understand the multiple dimension of poverty. The purpose of this research is therefore to measure and analyze multidimensional poverty reduced to a single non-monetary dimension and according to the characteristics of household heads. Based on the non-monetary variables provided by the most recent country survey (QUIBB 2006), we use Multidimensional Correspondence Analysis techniques to construct a Composite Poverty Indicator. The results of the non-poverty index suggest that the poorest are large families and households in rural areas. The deprivation is also more serious in households whose heads are male, aged between 51 and 99 and less educated. The findings are the same for the monetary approach at the poverty line, leading to the conclusion that both types of poverty are quite strongly and positively correlated. Finally, we propose some recommendations for socioeconomic policies.     

SUBSISTENCE ACTIVITIES IN THE NATIONAL ACCOUNTS OF DEVELOPING COUNTRIES WITH SPECIAL REFERENCE TO LATIN AMERICA*

This paper presents some preliminary findings from a research study by the OECD Development Centre into the treatment of subsistence activities in national accounts. It summarizes the results of a questionnaire on country practices, and reports on the findings with respect to shares of non-monetary production in GDP, methods of estimation, and usefulness of the resulting estimates. Among the 48 developing countries covered, the share of non-monetary value added in total GDP ranges from over 40 percent for the poorer countries of Africa to 5 percent or less for the more advanced countries of Latin America and Southern Europe. In countries where rural living standards are much below those in urban areas, non-monetary activities may be very important to the well-being of a large number of people, even though they form only a small part of GDP, and it is still important to make realistic estimates for subsistence output. Agriculture is obviously the main item in non-monetary production, accounting often for over 80 percent of the total. Most countries use some kind of “producers' prices” for valuing agricultural output. Few countries now publish separate figures for non—monetary activities. For many countries, doing so would involve a considerable amount of extra work, but for a number of planning purposes it does seem important to distinguish subsistence activities separately.     

Differentiating Between Dimensionality and Duration in Multidimensional Measures of Poverty: Methodology with an Application to China

We develop a multidimensional poverty measure that is sensitive to the within‐individual distribution of deprivations across dimensions and time. Our measure combines features from a static multidimensional measure (Alkire and Foster, 2011a ) and a time‐dependent unidimensional measure (Foster, 2009 ). The proposed measure separately identifies—and can therefore be decomposed according to—the proportion of the poverty score attributable to: (i) the concentration of deprivations within periods; (ii) the concentration of deprivations within dimensions. In doing so it allows for a poverty ranking that is robust to assumptions about the trade‐off between the two components. Previous measures have not allowed for the features proposed here due to the inability to calculate the exact contribution of each dimension to overall poverty. We overcome this by adapting to our measure the Shapley decomposition proposed in Shorrocks ( 2013 ) (based on Shapley, 1953 ). The measure is applied to data from China, 2000‐2011.     

FGT Old‐Age Poverty Measures and the Mortality Paradox: Theory and Evidence

Income‐differentiated mortality, by reducing the share of poor persons in the population, leads to the “Mortality Paradox”: the worse the survival conditions of the poor are, the lower is the measured poverty. We show that FGT measures (Foster et al ., 1984 ) are, in general, not robust to variations in survival conditions. Then, following Kanbur and Mukherjee ( 2007 ), we propose to adjust FGT poverty measures by extending the income profiles of the prematurely dead, and we identify the condition under which so‐adjusted FGT measures are robust to mortality changes. Finally, we show, on the basis of data from 2007 on old‐age poverty in 11 European economies, that the effect of extending income profiles of the prematurely dead on poverty measurement varies with: (1) the fictitious income assigned to the prematurely dead; (2) the degree of poverty aversion; (3) the shape of the (unadjusted) income distribution; and (4) the strength of the income/mortality relationship.     

Multidimensional Poverty and Material Deprivation with Discrete Data

We propose a characterization of a popular index of multidimensional poverty which, as a special case, generates a measure of material deprivation. This index is the weighted sum of the functioning failures. The important feature of the variables that may be relevant for poverty assessments is that they are discrete in nature. Thus, poverty measures based on continuous variables are not suitable in this setting and the assumption of a discrete domain is mandatory. We apply the measure to European Union member states where the concept of material deprivation was initiated and illustrate how its recommendations differ from those obtained from poverty measures based exclusively on income considerations.     

Fuzzy Chronic Poverty: A Proposed Response to Measurement Error for Intertemporal Poverty Measurement

A number of chronic poverty measures are now empirically applied to quantify the prevalence and intensity of chronic poverty, vis‐à‐vis transient experiences, using panel data. Welfare trajectories over time are assessed in order to identify the chronically poor and distinguish them from the non‐poor, or the transiently poor, and assess the extent and intensity of intertemporal poverty. We examine the implications of measurement error in the welfare outcome for some popular discontinuous chronic poverty measures, and propose corrections to these measures that seeks to minimize the consequences of measurement error. The approach is based on a novel criterion for the identification of chronic poverty that draws on fuzzy set theory. We illustrate the empirical relevance of the approach with a panel dataset from rural Ethiopia and some simulations.     

上市公司智力资本信息披露的实证分析及改进设想

本文运用内容分析法，对我国2005年223家上市公司年报公开披露的非货币计量的智力资本信息进行内容分析，对以货币计量的智力资本信息进行估算，并在此基础上进行实证分析。结果表明，智力资本对组织经营绩效产生了积极的、正向的影响，以货币计量的智力资本信息对资本市场具有较为显著的价值相关性，而非货币计量的智力资本信息的价值相关性并未得到明显体现。同时，这些发现存在行业差异。最后，本文针对我国上市公司的智力资本信息披露现状提出了相关改进设想。     

A Multidimensional Poverty Index for Latin America

This paper proposes a new Multidimensional Poverty Index for Latin America. The index combines monetary and non‐monetary indicators, updates deprivation cut‐offs for certain traditional unsatisfied basic needs indicators and includes some new indicators, aiming to maximize regional comparability within the data constraints. The index is estimated for 17 countries of the region at two points in time—one around 2005 and the other around 2012. Overall, we estimate about 28 percent of people are multidimensionally poor in 2012 in the region. We find statistically significant reductions of poverty in most countries, both in terms of incidence and intensity over the period under analysis. However, important disparities between rural and urban areas remain. Statistical scrutiny of the index suggests that it captures the state of poverty relatively well while maintaining a certain parsimony and being highly robust to changes in weights, indicators, and poverty cut‐off.     

Unidimensional and multidimensional fuzzy poverty measures: New approach

the analysis of deprivation is usually seen as a unidimensional condition. However, recently it is considered to be a multidimensional one. A useful tool for such analysis is to view deprivation as a degree providing a quantitative expression to its intensity for individuals. Such fuzzy conceptualisation has been widely adopted in poverty and deprivation research. This paper aims to further develop and refine this strand of research. First, we re-examine two aspects introduced by the use of fuzzy measures, as opposed to conventional poor/non-poor dichotomous measures, namely the choice of membership functions and the rules to manipulate, resulting fuzzy sets. Secondly, we propose fuzzy monetary and non-monetary measures with the membership functions of poor and non-poor. An application based on individual well-being data from Tunisian households in 1990 is presented to illustrate use of one of the proposed concept.     

IDEAL AND REAL JAPANESE MONETARY POLICY: A COMPARATIVE ANALYSIS OF ACTUAL AND OPTIMAL POLICY MEASURES*

This paper discusses the successes and failures of Japanese monetary policy by evaluating policies from January 1980 to May 2003 in the light of optimal policy rules. First, we quantitatively conceptualize the Bank of Japan (BOJ)'s policy decisions by employing Bernanke and Mihov's (1998 ) econometric methodology for developing monetary policy measures and term the resulting policy measure the ‘actual policy measure’. Next, assuming that the BOJ is committed to optimal policy rules, we simulate optimal policy paths, which we term ‘optimal policy measures’. We evaluate Japanese monetary policy historically by comparing actual and optimal policy measures.     

Election cycles in mining licensing: theory and evidence from Albania

Most of the literature on political business and budgetary cycles (PBBC) has focused on fiscal and monetary policy variables in advanced-country contexts. We extend this literature by investigating political cycle effects in a non-monetary, non-fiscal policy regime (the allocation of mining licences) in a transition country context. We propose a model of mining licensing that allows for corruption and for both supply and demand effects to determine the outcome. We then estimate this model using time-series data from post-communist Albania. Relying on a dynamic Poisson model, we find evidence of both opportunistic and partisan effects. Based on our theory, we suggest a corruption interpretation of political cycles in non-fiscal/non-monetary variables. This interpretation, we suggest, may be more applicable to the context of developing and transition countries. Our study raises important questions about the unintended (and often pernicious) effects of transition politics on economic regulation and economic performance in post-socialist economies.     

TESTING REGULATORY CONSISTENCY

We undertake an analysis of regulatory consistency using a database of publicly available regulatory decisions in Australia. We propose a simple exploratory model which allows us to test for regulatory consistency across jurisdictions and industries without detailed knowledge of the regulatory process. We compare two measures using our approach—the weighted average cost of capital (WACC) and the proportion of firms' revenue requirement claims disallowed by the regulator. Our comparison suggests that the WACC is a very poor measure of regulatory consistency. Moreover, our empirical results may be interpreted as indicating that a range of measures ought to be considered when assessing regulatory consistency. Our results also provide an empirical foundation for theoretical modeling of regulatory processes. (JEL L51)     

Optimum currency areas and the European experience

Across nations or regions, the debate on optimum exchange rate cum monetary policies is not yet resolved on three levels. First is the optimum domain of fixed exchange rates versus keeping them flexible. Second is the subordinate debate on whether one needs full monetary union (as in continental Europe) to secure an optimum currency area's internal domain; or, whether virtually fixed exchange rates — where national currencies remain in circulation — can be sufficient. Third is whether a regional grouping of economies with close trade ties (as in East Asia) gain by collectively pegging to an outside currency such as the US dollar. Using an axiomatic approach, which limits the set of cross‐country financial claims to what is feasible, I analyse how best to both share and reduce macroeconomic risks on these three levels. JEL classification: F31, F36.     

Impact of education and health on poverty reduction: Monetary and non-monetary evidence from Fiji

Fiji signed the United Nations 2015 target of halving extreme poverty from its 1990 level, but like many developing countries it is facing challenges in meeting this goal. This paper presents the economic modelling using Fiji's Household Income and Expenditure Survey 2002/03 dataset to examine the economic and social factors crucial for poverty reduction. Two hypotheses are tested: first, we estimate the monetary effects of education at the aggregate and disaggregated returns to education (primary, secondary, tertiary levels) and by income quartiles, and second, test the non-monetary education and health factors as channels of impact promulgated as effects against poverty prevalence. The monetary results indicate that all income quartile households (i.e. lowest to highest) benefit from additional skills obtained through formal education. While those at the lowest income quartile in particular benefit the most from formal education, however it cannot sustainably prevent people with only primary education from falling into poverty. The results for non-monetary models show that education has a positive and significant influence on the tendency of the people to engage in health prevention activities and in acquiring good housing facilities.     

Analyzing the effects of US monetary policy shocks in dollarized countries

Identifying monetary policy shocks is difficult. Therefore, instead of trying to do this perfectly, this paper exploits a natural setting that reduces the consequences of shock misidentification. It does so by basing conclusions upon the responses of variables in three dollarized countries (Ecuador, El Salvador, and Panama). They import US monetary policy just as genuine US states do, but have the advantage that non-monetary US shocks are not imported perfectly. Consequently, this setting reduces the effects of any mistakenly included non-monetary US shocks, while leaving the effects of true monetary shocks unaffected. Results suggest that prices fall after monetary contractions; output does not show a clear response.     

On negative time preferences

Survey data show that subjects positively discount both gains and losses but discount gains more heavily than losses. This holds for monetary and non-monetary outcomes. These results do not confirm the findings of two earlier studies about negative time preferences for non-monetary outcomes.     

Evaluating the long-run impact of an innovative anti-poverty programme: evidence using household panel data

Using a four-round panel data set from the first phase of the Challenging the Frontiers of Poverty Reduction – Targeting the Ultra Poor (CFPR – TUP) programme of BRAC, we investigate whether a one-off transfer of livestock assets improves well-being of the very poor women in Bangladesh. Programme impact is assessed on a wide range of monetary and nonmonetary measures of well-being using difference-in-difference (DD) as well as matching methods. We find significant positive long-term impact on food security, household savings, assets and participation in microfinance. Participant women are less likely to be in distress occupation and more into self-employment. However, the long-term effect is much smaller for most outcomes when compared to short- and medium-run impacts. We conclude by discussing the significance of the institutional and regional context for the observed time path of estimated programme effect.     

A shaky business: Natural gas extraction,earthquakes and house prices

The production of natural gas is strongly increasing around the world. Long-run negative external effects of extraction are understudied and often ignored in (social) cost-benefit analyses. One important example is that natural gas extraction leads to soil subsidence and subsequent induced earthquakes that may occur only after a couple of decades. We show that induced earthquakes that are noticeable to residents generate substantial non-monetary economic effects, as measured by their effects on house prices, also when house owners are fully compensated for damage to their houses. To address the issue that earthquakes do not occur randomly over space, we use temporal variation in the occurrence of noticeable earthquakes while controlling for the occurrence of earthquakes that cannot be felt by house owners. We find that earthquakes that are noticeable with peak ground velocities of above half a cm/s lead to price decreases of 1.9 percent. The total non-monetary costs of induced earthquakes for Groningen are about €170 million (about €600 per household). These results indicate that the non-monetary costs are in the same order of magnitude as the monetary damage costs.