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The authors test the hypothesis that product standards harmonized to de facto international standards are less trade restrictive than ones that are not. To do this, the authors construct a new database of European Union (EU) product standards. The authors identify standards that are aligned with ISO standards (as a proxy for de facto international norms). The authors use a sample-selection gravity model to examine the impact of EU standards on African textiles and clothing exports, a sector of particular development interest. The authors find robust evidence that non-harmonized standards reduce African exports of these products. EU standards which are harmonized to ISO standards are less trade restricting. Our results suggest that efforts to promote African exports of manufactures may need to be complemented by measures to reduce the cost impacts of product standards, including international harmonization. In addition, efforts to harmonize national standards with international norms, including through the World Trade Organization Technical Barriers to Trade Agreement, promise concrete benefits through trade expansion.

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This paper uses firm level data from a cross-section of 57 countries to study how financial development affects innovation in small firms. The analysis finds that relative to large firms in the same industry, spending on research and development by small firms is more likely and sizable in countries at higher levels of financial development. The estimates imply that among firms doing research and development in a country like Romania, which is at the 20th percentile of financial development, a 1 standard deviation decrease in firm size is associated with a decrease of 0.7 standard deviations in research and development spending. In contrast, this decrease is only 0.2 standard deviations in a country like South Africa, which is at the 80th percentile of the distribution of financial development. Small firms also report producing more innovations per unit of research and development spending than large firms, and this gap is narrower in countries at higher levels of financial development. As a robustness check, the author shows that these patterns are stronger in industries inherently more reliant on external finance.

Access to Finance --- Debt Markets --- Education --- External finance --- Finance and Financial Sector Development --- Financial Development --- Financial market --- Financial systems --- Firm performance --- Informational asymmetries --- International Bank --- Lenders --- Market failures --- Microfinance --- Science and Technology Development --- Science Education --- Scientific Research and Science Parks --- Small loan

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The authors examine the performance of small area welfare estimation. The method combines census and survey data to produce spatially disaggregated poverty and inequality estimates. To test the method, they compare predicted welfare indicators for a set of target populations with their true values. They construct target populations using actual data from a census of households in a set of rural Mexican communities. They examine estimates along three criteria: accuracy of confidence intervals, bias, and correlation with true values. The authors find that while point estimates are very stable, the precision of the estimates varies with alternative simulation methods. While the original approach of numerical gradient estimation yields standard errors that seem appropriate, some computationally less-intensive simulation procedures yield confidence intervals that are slightly too narrow. The precision of estimates is shown to diminish markedly if unobserved location effects at the village level are not well captured in underlying consumption models. With well specified models there is only slight evidence of bias, but the authors show that bias increases if underlying models fail to capture latent location effects. Correlations between estimated and true welfare at the local level are highest for mean expenditure and poverty measures and lower for inequality measures.

Capita Expenditure --- Degrees of Freedom --- Delta Method --- Econometrics --- Education --- Estimates of Poverty --- Explanatory Variables --- Finance and Financial Sector Development --- Financial Literacy --- Health, Nutrition and Population --- Household Survey --- Household Survey Data --- Households --- Macroeconomics and Economic Growth --- Parameter Estimates --- Population Census --- Population Policies --- Poverty Mapping --- Poverty Mapping Methodology --- Poverty Maps --- Poverty Measures --- Poverty Reduction --- Pro-Poor Growth --- Rural Development --- Rural Poverty Reduction --- Science and Technology Development --- Science Education --- Scientific Research and Science Parks --- Simulation Procedures --- Simulations --- Small Area Estimation --- Small Area Estimation Poverty Mapping --- Standard Deviation --- Standard Errors --- Statistical and Mathematical Sciences --- Variance-Covariance Matrix