Measuring microenterprise profits: Must we ask how the sausage is made?

A large share of the World's poor is self-employed. Accurate measurement of profits from microenterprises is therefore critical for studying poverty and inequality, measuring the returns to education, and evaluating the success of microfinance programs. However, a myriad of problems plague the measurement of profits. This paper reports on a variety of different experiments conducted to better understand the importance of some of these problems, and to draw recommendations for collecting profit data. In particular, we (i) examine how far we can reconcile self-reported profits and reports of revenue minus expenses through more detailed questions; (ii) examine recall errors in sales, and report on the results of experiments which randomly allocated account books to firms; and (iii) asked firms how much firms like theirs underreport sales in surveys like ours, and had research assistants observe the firms at random times 15–16 times during a month to provide measures for comparison. We conclude that firms underreport revenues by about 30%, that account diaries have significant impacts on both revenues and expenses, but not on profits, and that simply asking profits provides a more accurate measure of firm profits than detailed questions on revenues and expenses.     

Testing stochastic income convergence in seasonal heterogeneous panels

In this paper we introduce a seasonal version of the Solow–Swan growth model and acquire an empirical income convergence equation. We take this equation as a basis to investigate whether income convergence exists in an OECD sample. To do this, we propose the test statistics under various asymptotic properties for some of the seasonal frequencies in the context of nonstationary heterogeneous panels. Critical values and moments of our statistics are generated and their finite sample performances are examined via Monte Carlo simulations.     

Measuring subjective expectations in developing countries: A critical review and new evidence

The majority of economic decisions are forward-looking and thus involve expectations of future outcomes. Understanding the expectations that individuals have is thus of crucial importance to designing and evaluating policies in health, education, finance, migration, social protection, and many other areas. However, the majority of developing country surveys are static in nature and many do not elicit subjective expectations of individuals. Possible reasons given for not collecting this information include fears that poor, illiterate individuals do not understand probability concepts, that it takes far too much time to ask such questions, or that the answers add little value. This paper provides a critical review and new analysis of subjective expectations data from developing countries and refutes each of these concerns. We find that people in developing countries can generally understand and answer probabilistic questions, such questions are not prohibitive in time to ask, and the expectations are useful predictors of future behavior and economic decisions. The paper discusses the different methods used for eliciting such information, the key methodological issues involved, and the open research questions. The available evidence suggests that collecting expectations data is both feasible and valuable, suggesting that it should be incorporated into more developing country surveys.     

Improving consumption measurement and other survey data through CAPI: Evidence from a randomized experiment

This paper reports on a randomized survey experiment among 1840 households, designed to compare pen-and-paper interviewing (PAPI) to computer-assisted personal interviewing (CAPI). We find that PAPI data contain a large number of errors, which can be avoided in CAPI. Error counts are not randomly distributed across the sample, but are correlated with household characteristics, potentially introducing sample bias if dubious observations need to be dropped. We demonstrate a tendency for the spread of total measured consumption to be higher on paper compared to CAPI, translating into significantly higher measured inequality. Investigating further the nature of PAPI's measurement error for consumption, we fail to reject the hypothesis that it is classical: it attenuates the coefficient on consumption when used as explanatory variable and we find no evidence of bias when consumption is used as dependent variable. Finally, CAPI and PAPI are compared in terms of interview length, costs and respondents' perceptions.     

Willingness to pay for managerial training: A case from the knitwear industry in Northern Vietnam

Managerial capital has received attention in recent years as one of the major determinants for enterprise productivity, growth, and longevity. While recent empirical studies make it clear that training intervention can improve the management level, it remains unclear why the managers had not made efforts to obtain these basic knowledge. To test the hypothesis that the reason lies in low valuation for obtaining knowledge, we conduct experimental training programs for the managers of SMEs in a knitwear cluster in rural town in Vietnam. We find that the demand for these training was indeed low prior to training, but increased greatly with own learning experience, and that those with a higher prior demand tended to benefit more from the training.     

Does increased access increase equality? Gender and child health investments in India

Increases in access to social services are often thought to decrease inequality in the level of these services between advantaged and disadvantaged groups. This is an issue in the developing world, where policy-makers often argue that increasing the level of health care, for example, will decrease gender inequality. However, increases in access to services often have empirically ambiguous effects on inequality, increasing it in some cases and decreasing it in others. This paper argues that this is not surprising, and simple economic theory suggests that we should expect a non-monotonic relationship between access and inequality. At low levels of access to investments, there is no investment for either the advantaged or disadvantaged group, producing equality. Increases in access increase investment for the advantaged group first, generating inequality. Further increases in access increase investment in the disadvantaged group, decreasing inequality. I test the predictions of this theory using data on the availability of health camps (or distance to health centers) and gender differences in vaccinations in India. I find strong support for a non-monotonic relationship between access and gender equality.     

Household coping in war- and peacetime: Cattle sales in Rwanda, 1991–2001

The economic literature has given due attention to household coping strategies in peacetime. In contrast, little is known about such strategies in wartime. This paper studies the use of cattle as a buffer stock by Rwandan households during 1991–2001, a period characterized by civil war and genocide. It is found that the probability of selling cattle increases upon the occurrence of both peacetime and wartime covariant adverse income shocks. The peacetime cattle sales are largely explained by shifts in the household asset portfolio. In contrast, in 1994, the year of the genocide, almost half of the cattle sales were motivated by the need to buy food. However, we argue that the effectiveness of this coping strategy was severely reduced due to the wartime conditions. First, during the year of ethnic violence, cattle prices plummeted to less than half of their pre-genocide value. Second, we find that households most targeted in the violence did not sell cattle. We discuss several explanations for this latter finding.     

Social learning,neighborhood effects,and investment in human capital: Evidence from Green-Revolution India

This paper empirically identifies social learning and neighborhood effects in schooling investments in a new technology regime. Social learning implies that learning is most efficient when observed heterogeneity in schooling is greatest. The estimates of learning-investment rule, from farm household panel data at the onset of the Green Revolution in India, show that (i) agents learn about schooling returns from income realizations of their neighbors, and (ii) the speed of learning is high when the variation of schooling is large. Thus, schooling distribution of the parents' generation in a community has externalities to schooling investments in children. Simulations show that the variations in schooling within and across communities generate variations in child enrollment rate and average household income.     

Testing the growth effects of structural change

Against the backdrop of Baumol's model of ‘unbalanced growth’, a recent strand of literature has presented models that manage to reconcile structural change with Kaldor's ‘stylized fact’ of the relative constancy of per-capita real GDP growth. Another strand of literature goes beyond this, arguing that the expenditure shifts toward Baumol's ‘stagnant’ sector stimulate rather than dampen long-term economic growth because of the human capital-accumulating nature of major ‘stagnant’ services (like health care and education). This paper tests the relationship between structural change and economic growth empirically by means of a Granger-causality analysis of a panel of 18 OECD countries.     

Does the Choice between Wage Inequality and Unemployment Affect Productivity Growth?

Abstract. We present a non-scale continuous-time overlapping-generations growth model that provides an explanation for why economies with relative wage rigidity feature higher unemployment, but not slower productivity growth, than economies with flexible wages. The compression of the wage distribution associated with relative wage rigidity slows down human capital accumulation and growth ceteris paribus . But unemployment among the low-skilled workers strengthens the incentives to invest in human capital and, hence, growth. The two effects are offsetting, and growth is independent of the prevailing degree of relative wage rigidity. This knife-edge result is robust with respect to some modifications of the model.     

Technological differences and convergence in the OECD

Abstract. In this paper we test the homogeneity of the technological parameters among OECD countries, which is the maintained hypothesis in most of the empirical growth literature. We first identify differences in the constant term of the convergence equation estimated for the OECD 1960/1990 sample using a fixed- effects estimator. Then we provide a formal test of the homogeneity of technological parameters across groups of countries. We identify at least two different groups within the OECD, with significantly different technologies. Convergence within each group is fast, supporting the notion of club convergence. Nevertheless, the implausible parameter values obtained for the leading technology club casts some doubts on the validity of the Solow model to account for the long run behaviour of this group of countries.     

The Value of Information in the Hold-Up Problem

Abstract In the literature, the information structure of the hold‐up problem is typically assumed to be exogenous. In this paper, we introduce an additional stage at which the head office may grant individual divisions access to an information system before they undertake their specific investments. Although more information ceteris paribus enhances each divisions' profits, more information can reduce divisions' investments and destroy synergies for the other division that would have been generated by the investments. If this negative effect dominates, then information can be harmful for the entire company. Hence, information control can be a subtle force to deal with the hold‐up problem to a certain extent. In this paper we analyze those conditions under which information is either harmful or beneficial for central management.     

Modeling income inequality and openness in the framework of Kuznets curve: New evidence from China

This article tests the relationship between openness and income inequality in openness Kuznets curve framework. The Auto Regressive Distributed Lag (ARDL) estimator is employed to establish the long run relationship between openness and income inequality. We add to the literature by noting that Kuznets curve fits the relationship between openness and income equality in the case of China. This evidence is new and in line with the Kuznets hypothesis that income inequality rises with the increase of openness and then starts fall after a critical point.     

Attrition and Follow‐Up Rules in Panel Surveys: Insights from a Tracking Experience in Madagascar

Most longitudinal surveys recontact households only if they are still living in the same dwelling, producing very high attrition rates, especially in developing countries where rural–urban migration is prevalent. In this paper, we discuss the implications of the various follow‐up rules used in longitudinal surveys in the light of an original tracking survey from Madagascar. This survey attempted in 2005 to search and interview all individuals who were living in the village of Bepako in 1995, the baseline year of a yearly survey, the Rural Observatories. The tracking survey yielded an individual recontact rate of 78.8 percent, more than halving attrition compared to a standard dwelling‐based follow‐up rule. The tracking reveals a very high rate of out‐migration (38.8 percent) and household break‐ups, as three‐quarters of recontacted households had divided between 1995 and 2005. The average income growth of the sample over the period increases by 28 percentage points when follow‐up is extended to those who moved out of their household or village, suggesting that dwelling‐based panels give a partial view of the welfare dynamics of the baseline sample. A higher baseline income per capita is associated with a higher probability of staying in Bepako and of being found in the tracking if one moved out. The hardest people to find are the poorest and most isolated. Special attention should be paid to collecting data that enable the identification and follow‐up of individuals, without which attrition is likely to remain a source of bias even after a tracking procedure is carried out.     

如何看待银行业利润大幅增长问题

今年以来,银行业利润大幅增长问题引起了社会各界高度关注。本文的分析表明,银行业利润的大幅增长主要归因于实体经济平稳较快增长、现行金融保护制度、银行中间业务快速发展、银行业改革红利和市场环境变迁等,是各种内外部、主客观因素共同作用的结果。银行业良好的经营绩效对于银行、金融体系乃至国民经济的健康平稳发展具有重要意义。受制于多方面因素,当前银行业的高盈利不具备可持续性,可采取有关改革措施保持银行业利润合理、平稳增长。     

Beyond baseline and follow-up: The case for more T in experiments

The vast majority of randomized experiments in economics rely on a single baseline and single follow-up survey. While such a design is suitable for study of highly autocorrelated and relatively precisely measured outcomes in the health and education domains, it is unlikely to be optimal for measuring noisy and relatively less autocorrelated outcomes such as business profits, and household incomes and expenditures. Taking multiple measurements of such outcomes at relatively short intervals allows one to average out noise, increasing power. When the outcomes have low autocorrelation and budget is limited, it can make sense to do no baseline at all. Moreover, I show how for such outcomes, more power can be achieved with multiple follow-ups than allocating the same total sample size over a single follow-up and baseline. I also highlight the large gains in power from ANCOVA analysis rather than difference-in-differences analysis when autocorrelations are low.     

Stability, global dynamics and Markov equilibrium in models of endogenous economic growth

This paper studies the local and global dynamics of two-sector models of endogenous growth with economy-wide external effects and taxes on capital and labor. The local analysis classifies the parameter space depending on the number of stationary solutions and local stability of equilibria. The global analysis shows that if taxes are within certain bounds and the size of the external effects on the average level of human capital is smaller than the share of physical capital, the equilibrium path is monotone and therefore a continuous Markov equilibrium can be constructed.     

The struggle to survive in the R&D sector: Implications for innovation and growth

By allowing for investment activities by research and development (R&D) firms to prevent product obsolescence, we show that if legal patent protection is too strong, a higher R&D subsidy rate delivers insufficient investments for survival in the R&D sector, depressing innovation and growth in the long run.     

The effect of ambiguous risk, and coordination on farmers' adaptation to climate change — A framed field experiment

The risk of losses of income and productive means due to adverse weather can differ significantly among farmers sharing a productive landscape, and is of course hard to estimate, or even “guesstimate” empirically. Moreover, the costs associated with investments in reduced vulnerability to climatic events are likely to exhibit economies of scope. We explore the implications of these characteristics on farmer's decisions to adapt to climate change using a framed field experiment applied to coffee farmers in Costa Rica. As expected, we find high levels of risk aversion, but even using that as a baseline, we further find that farmers behave even more cautiously when the setting is characterized by unknown or ambiguous risk (i.e. poor or non-reliable risk information). Secondly, we find that farmers, to a large extent, coordinated their decisions to secure a lower adaptation cost, and that communication among farmers strongly facilitated coordination.     

Poverty trap and global indeterminacy in a growth model with open-access natural resources

In this paper we use global analysis techniques to analyze an economic growth model with environmental negative externalities, giving rise to a three-dimensional dynamic system (the framework is the one introduced by Wirl (1997) [53]). The dynamics of our model admits a locally attracting stationary state , which is, in fact, a poverty trap, coexisting with another stationary state possessing saddle-point stability. Global dynamical analysis shows that, under some conditions on the parameters, if the initial values of the state variables are close enough to the coordinates of , then there exists a continuum of equilibrium trajectories approaching and one trajectory approaching . Therefore, our model exhibits global indeterminacy, since either or can be selected according to agent expectations. Moreover, we prove that conditions guaranteeing the attractivity of also imply the saddle-point stability of . However, when is not attractive, numerical simulations show the possible existence of one or two limit cycles: an attractive one surrounding and one endowed with a two-dimensional stable manifold surrounding .