A Monte Carlo study of growth regressions

Using Monte Carlo simulations, this paper evaluates the bias properties of estimators commonly used to estimate growth regressions derived from the Solow model. We explicitly allow for measurement error, country-specific fixed effects and regressor endogeneity. An OLS estimator applied to a single cross-section of variables averaged over time (the between estimator) performs best in terms of the extent of bias on each of the estimated coefficients. Fixed-effects and the Arellano–Bond GMM estimator overstate the speed of convergence under a wide variety of assumptions, while the between estimator understates it. Finally, fixed effects and Arellano–Bond bias towards zero the slope estimates on the human and physical capital accumulation variables, while the between estimator and the Blundell–Bond system GMM estimator bias these coefficients upwards.      

Schooling,educational achievement,and the Latin American growth puzzle

Latin American economic development has been perceived as a puzzle. The region has trailed most other world regions over the past half century despite relatively high initial development and school attainment levels. This puzzle, however, can be resolved by considering educational achievement, a direct measure of human capital. We introduce a new, more inclusive achievement measure that comes from splicing regional achievement tests into worldwide tests. In growth regressions, the positive growth effect of educational achievement fully accounts for the poor growth performance of Latin American countries. These results are confirmed in a number of instrumental-variable specifications that exploit plausibly exogenous achievement variation stemming from historical and institutional determinants of educational achievement. Finally, a development accounting analysis finds that, once educational achievement is included, human capital can account for between half and two thirds of the income differences between Latin America and the rest of the world.     

What output-capital ratio to adopt for macroeconomic calibrations?

Regarding the output-capital ratio in heterodox macroeconomic simulation studies, a surprisingly wide range of numerical values can be found. The paper discusses quarterly US data that are publicly available where, in order to capture depreciation, the construction of the capital stock by the perpetual inventory method relies on detailed estimates of its lifetime. Subsequently the paper builds up a capital stock series by alternatively having recourse to the statistics about capital consumption and furthermore determining an initial level by an assumption about the long-term growth of capital. This procedure leads to somewhat different results. In addition, the rates of depreciation and profit are studied that are implied by the two approaches. The paper closes with two numerical proposals for the steady state values of these variables and the output-capital ratio that could be readily employed for macrodynamic modelling, and that are quite different from many of the aforementioned examples.     

INTERNATIONAL SCHOOL TEST SCORES AND ECONOMIC GROWTH

Hanushek and Kimko's analysis of the relationship between growth and schooling quality, as measured by scores in international tests, suffers from potential endogeneity as schooling quality is not always measured at a date strictly prior to the observed growth. To address this problem we treat the data as a panel, relating growth only to test scores at earlier dates. The estimates of the effect of schooling quality on growth are similar to those obtained from cross‐section regressions.     

Funded social security and economic growth

This paper investigates the relationship between economic growth and a fully funded social security system in an overlapping generations model with family altruism. It is shown that funded social security may harm growth if there are operative bequests within the family.     

Gender,productive ability and the perceived returns to education: Evidence from rural India

Recent research has established the importance of perceived (as opposed to actual) returns as a determinant of educational investments. We analyze data from India to highlight gender disparities in the perceived returns to education and the salience of productive characteristics.     

Socioeconomic status or noise? Tradeoffs in the generation of school quality information

This paper calculates a time series of simple, standard measures of schools' relative performance. These are drawn from a 1997–2004 panel of Chilean schools, using individual-level information on test scores and student characteristics for each year. The results suggest there is a stark tradeoff in the extent to which rankings generated using these measures: i) can be shown to be very similar to rankings based purely on students' socioeconomic status, and ii) are very volatile from year to year. At least in Chile, therefore, producing a meaningful ranking of schools that may inform parents and policymakers may be harder than is commonly assumed.     

Stochastic convergence of the catch-up rate and multiple structural breaks in Asian countries

Allowing for multiple structural breaks and cross-section dependence, we re-investigate the hypothesis that the catch-up rates stochastically converge for 13 Asian countries from 1960 to 2007. Non-rejection of stationarity provides evidence for stochastic convergence, implying that following shocks to the catch-up rate, it will eventually revert to its long-run level.     

The cost of imperfect agency in health care: Evidence from rural Cameroun

Health is a pressing problem facing Africans today, yet health care systems in Africa are inadequate and under-funded. We show that pervasive imperfect agency means that they are also inefficient. Imperfect agency (due to unobservable medical effort) is a recognized market failure in health care, but its impact is difficult to measure. We take an indirect approach to estimation and infer the cost of unobservable effort from the behavior of utility-maximizing patients, specifically their willingness to incur measurable costs to avoid practitioners who shirk. We use a unique data set from rural Cameroun where patients choose between the government health system, church-operated (mission) health facilities and, importantly, traditional healers. Traditional healers provide health services on an outcome–contingent basis where patients pay only if they are cured. Both government and mission facilities, in contrast, are paid on a fee-for-service basis. Patients' choices of practitioners, combined with quantitative information about patients' illnesses, permit a structural estimation of the value of unobservable medical effort. The results allow investigation into the nature of agency, its costs, and the manner in which contracts reduce and patient behavior mitigates those costs. We estimate that in the absence of imperfect agency, utility from health care would increase by at least 160%. Even in the face of imperfect agency, the sophistication of patients in choosing between existing contracts for different illnesses increases utility by up to 20%.     

Using the Hawthorne effect to examine the gap between a doctor's best possible practice and actual performance

Many doctors in developing countries provide considerably lower quality care to their patients than they have been trained to provide. The gap between best possible practice and actual performance (often referred to as the know-do gap) is difficult to measure among doctors who differ in levels of training and experience and who face very different types of patients. We exploit the Hawthorne effect-in which doctors change their behavior when a researcher comes to observe their practices-to measure the gap between best and actual performance. We analyze this gap for a sample of doctors and also examine the impact of the organization for which doctors work on their performance. We find that some organizations succeed in motivating doctors to work at levels of performance that are close to their best possible practice. This paper adds to recent evidence that motivation can be as important to health care quality as training and knowledge.     

A contribution to estimate a benchmark capital stock. An optimal consistency method

There are alternative methods of estimating capital stock for a benchmark year. However, these methods are costly and time‐consuming, requiring the gathering of much basic information as well as the use of some convenient assumptions and guesses. In addition, a way is needed of checking whether the estimated benchmark is at the correct level. This paper proposes an optimal consistency method (OCM), which enables a capital stock to be estimated for a benchmark year, and which can also be used in checking the consistency of alternative estimates. This method, in contrast to most current approaches, pays due regards both to potential output and to the productivity of capital. It is applied to 45 cases for nine OECD countries and six Latin American ones. It works reasonably well, and it requires only small amounts of data, which are readily available. It appears to exhibit similar accuracy to alternative methods, but it is virtually inexpensive in both time and funding.