Rising Food Prices and Household Welfare: Evidence from Brazil in 2008

Food price inflation in Brazil in the 12 months to June 2008 was 18%, whereas overall inflation was 7%. Using spatially disaggregated monthly data on consumer prices and two different household surveys, we estimate the welfare consequences of these food price increases, and their distribution across households. Because Brazil is a large food producer, with a predominantly wage‐earning agricultural labour force, our estimates include general equilibrium effects on market and transfer incomes, as well as the standard estimates of changes in consumer surplus. Although the expenditure (or consumer surplus) effects were large, negative and markedly regressive everywhere, estimates of the market‐income effect were positive and progressive, particularly in rural areas. Because of this effect on the rural poor, and of the partial protection afforded by increases in two large social assistance benefits, the overall impact of higher food prices in Brazil was U‐shaped, with middle‐income groups suffering larger proportional losses than the very poor. Nevertheless, as Brazil is 80% urban, higher food prices still led to a greater incidence and depth of poverty at the national level.     

The Adoption of ICT among SMEs: Evidence from an Italian Survey

In this paper, we carry out an econometric analysis on the adoption and effective use of Information and Communication Technologies (ICTs) among a sample of Italian SMEs. An important result is that, in order to understand the main factors that drive SMEs to the adoption of ICTs, it is useful to divide the available technologies according to a taxonomy based on their typical function. Along with general-use ICTs (e-mail and Internet access), we identify two groups of technologies (labelled production-integrating and market-oriented ICTs) the use of which is associated with different firm characteristics. In both cases, however, the availability of highly educated workers turns out to be a key factor. Policy implications are also discussed.     

Wars and Child Health: Evidence from the Eritrean-Ethiopian Conflict

Conflict between and within countries can have lasting health and economic consequences, but identifying such effects can be empirically challenging. This paper uses household survey data from Eritrea to estimate the effect of exposure to the 1998-2000 Eritrea-Ethiopia war on children's health. The identification strategy exploits exogenous variation in the conflict's geographic extent and timing and the exposure of different birth cohorts to the fighting. The unique survey data include details on each household's migration history, which allows us to measure a child's geographic location during the war and without which war exposure would be incorrectly classified. War-exposed children have lower height-for-age Z-scores, with similar effects for children born before or during the war. Both boys and girls who are born during the war experience negative impacts due to conflict. Effects are robust to including region-specific time trends, alternative conflict exposure measures, and mother fixed effects.     

Banks' Inefficiency and Economic Growth: A Micro‐Macro Approach

This paper offers a methodological contribution to the empirical analysis of the relationship between banking and economic growth by suggesting a new indicator for the state of development of the banking system based on a measure of bank microeconomic efficiency. This choice helps to overcome the problem of causality and to capture the effects of banks' activity on growth. This new approach is then applied to analyse the relationship between the banking system and economic growth in the Italian regions, through a dynamic panel technique. The empirical results show the existence of an independent effect exerted by the efficiency of banks on regional growth.     

Nonlinear adjustment in US bond yields: An empirical model with conditional heteroskedasticity

Starting from the work by Campbell and Shiller (Campbell, J.Y. and Shiller, R.J. (1987). Cointegration and tests of present value models. Journal of Political Economy, 95(5):1062–1088.), empirical analysis of interest rates has been conducted in the framework of cointegration. However, parts of this approach have been questioned recently, as the adjustment mechanism may not follow a simple linear rule; another line of criticism points out that stationarity of the spreads is difficult to maintain empirically.     

Inequality Stagnation in Latin America in the Aftermath of the Global Financial Crisis

Between 2003 and 2010, Latin America experienced a solid record of economic growth, coupled with a notable reduction in income inequality. The regional Gini coefficient fell from 0.556 to 0.521 and declined in all 15 out of 17 countries in which frequent data are available. However, previous studies have warned about problems in the sustainability of the decline in income inequality and this study presents evidence of stagnation on this front between 2010 and 2013. The results are robust to various measures of income inequality, but differ across the region. While largely attributable to the recovery from the global financial crisis in Mexico and some countries in Central America, the results are also supported by the demonstrated slowdown in inequality reduction in other countries, including Brazil, Ecuador and Bolivia.     

Endogeneity and sample selection in a model for remittances

We estimate a remittance model in which we address endogeneity and reverse causality relationships between immigrants' remittances, pre-transfer income and consumption. In order to take into account the fact that a large share of individuals do not remit, instrumental variable variants of the double-hurdle and Heckit selection models are proposed and estimated by Limited Information ML; semiparametric extensions are considered as robustness checks. Our results for a sample of recent immigrants to Australia show that endogeneity is substantial and that estimates obtained by the methods previously employed in the literature may be misleading if given a behavioral interpretation.     

A simple and effective misspecification test for the double-hurdle model

The commonly-used version of the double-hurdle model rests on a rather restrictive set of statistical assumptions, which are very seldom tested by practitioners, mainly because of the lack of a standard procedure for doing so, although violation of such assumptions can lead to serious modelling flaws. We propose here a bootstrap-corrected conditional moment portmanteau test which is simple to implement and has good size and power properties.     

Can you do the wrong thing and still be right? Hypothesis testing in I(2) and near-I(2) cointegrated VARs

In this paper, we investigate the small-sample performance of LR tests on long-run coefficients in the I(2) model; we focus on a comparison between I(2) and near-I(2) data, i.e. I(1) data with a second root very close to unity, and report the results of some Monte Carlo experiments. With near-I(2) data, the finite-sample properties of the tests are (i) similar to those found with genuine I(2) data, (ii) systematically superior to those of the analogous tests constructed in the I(1) model, even if the latter is, in principle, correctly specified and the former is not. Therefore, there seems to be strong support to the idea that, in practice, modelling near-I(2) data using the I(2) model may be a good idea, despite the inherent misspecification.