Inequality and violent crime: evidence from data on robbery and violent theft

This article argues that the link between income inequality and violent property crime might be spurious, complementing a similar argument in prior analysis by the author on the determinants of homicide. In contrast, Fajnzylber, Lederman & Loayza (1998; 2002a, b) provide seemingly strong and robust evidence that inequality causes a higher rate of both homicide and robbery/violent theft even after controlling for country-specific fixed effects. Our results suggest that inequality is not a statistically significant determinant, unless either country-specific effects are not controlled for or the sample is artificially restricted to a small number of countries. The reason why the link between inequality and violent property crime might be spurious is that income inequality is likely to be strongly correlated with country-specific fixed effects such as cultural differences. A high degree of inequality might be socially undesirable for any number of reasons, but that it causes violent crime is far from proven

Is Inequality really a Major Cause of Violent Crime? Evidence From a Cross-National Panel of Robbery and Violent Theft Rates

This article argues that the link between income inequality and violent property crime might be spurious, complementing a similar argument in prior an alysis by the author on the determinants of homicide. In contrast, Fajnzylber, Lederman & Loayza (1998; 2002a, b) provide seemingly strong and robust evidence that inequality causes a higher rate of both homicide and robbery/violent theft even after controlling for country-specific fixed effects. Ou r results suggest that inequality is not a statistically significant determinant, unless either country- specific effects are not controlled for or the sample is artificially restricted to a small number of countries. The reason why the link between inequality and violent property crime might be spur ious is that income inequality is likely to be strongly correlated with country- specific fixed effects such as cultural differences. A high degree of inequality might be socially undesirable for any number of reasons, but that it causes vi! olent crime is far from proven.

Examining Private Investment Heterogeneity: Evidence from a Dynamic Panel

domestic private investment, public investment, dynamic heterogeneity, endogeneity, Generalised Method of Moments

Military Expenditure and Debt in South America

The debt crisis that struck South American countries in the 1980s led to severe recession, and chronic economic problems. This paper considers one potentially important contributor to the growth of external debt, namely military spending. It considers the experience of Argentina, Brazil and Chile. It finds was no evidence that military burden had any impact on the evolution of debt in Argentina and Brazil, but some evidence that military burden tended to increase debt in Chile. At the same time Chile was the least affected of the three countries by acute financial crises resulting from the debt problems, although their relative levels of debt were as high or higher. This suggests that military burden may be important in determining debt in countries, but it is only of significance when it is not swamped by other macroeconomic and international factors.Military spending; external debt; South America.

Local Sensitivity and Diagnostic Tests

In this paper we confront sensitivity analysis with diagnostic testing.Every model is misspecified, but a model is useful if the parameters of interest (the focus) are not sensitive to small perturbations in the underlying assumptions. The study of the e ect of these violations on the focus is called sensitivity analysis.Diagnostic testing, on the other hand, attempts to find out whether a nuisance parameter is large or small.Both aspects are important, but traditional applied econometrics tends to use only diagnostics and forget about sensitivity analysis.We develop a theory of sensitivity in a maximum likelihood framework, propose a sensitivity test, give conditions under which the diagnostic and sensitivity tests are asymptotically independent, and demonstrate with three core examples that this independence is the rule rather than the exception, thus underlying the importance of sensitivity analysis.

Making – or Picking – Winners: Evidence of Internal and External Price Effects in Historic Preservation Policies

Much has been written identifying property price effects of historic preservation policies. Little attention has been paid to the possible policy endogeneity in hedonic price models. This paper outlines a general case of land use regulation in the presence of externalities and then demonstrates the usefulness of the model in an instrumental-variables estimation of a hedonic price analysis – with an application to historic preservation in Chicago. The theoretical model casts doubt on previous results concerning price effects of preservation policies. The comparative statics identify some determinants of regulation that seem, on the face of it, most unlikely to also belong in a hedonic price equation. The analysis employs these determinants as instruments for endogenous regulatory treatment in a hedonic price analysis. OLS estimation of the hedonic offers results consistent with much of previous literature, namely that property values are higher for historic landmarks. In the 2SLS hedonic, robust estimates of the "own" price effect of historic designation are shown to be large and negative (approx. -27%) for homes in landmark districts. Further, significant and substantively important (positive) external price effects of landmark designations are found. The paper concludes with a discussion of the policy implications of these findings for historic preservation.hedonics, built heritage, heritage valuation, real estate economics

A Comparison of Decision Tree Classifiers for Automatic Diagnosis of Speech Recognition Errors

Present speech recognition systems are becoming more complex due to technology advances, optimizations and special requirements such as small computation and memory footprints. Proper handling of system failures can be seen as a kind of fault diagnosis. Motivated by the success of decision tree diagnosis in other scientific fields and by their successful application in speech recognition in the last decade, we contribute to the topic mainly in terms of comparison of different types of decision trees. Five styles are examined: CART (testing three different splitting criteria), C4.5, and then Minimum Message Length (MML), strict MML and Bayesian styles decision trees. We apply these techniques to data of computer speech recognition fed by intrinsically variable speech. We conclude that for this task, CART technique outperforms C4.5 in terms of better classification for ASR failures

The effect of female and male health on economic growth: cross-country evidence within a production function framework

It is widely believed by development economists that the role of human capital is one of the most fundamental determinants of economic growth. Sustained growth depends on the level of human capital whose stocks increase due to better education, higher levels of health, new learning and training procedure. The intuition that good health raises the level of human capital and has a positive effect on productivity and economic growth has been modelled by enodogenous growth theorists. But empirically ascertaining the causal relationship between health and growth is more difficult due to the possible existence of endogeneity between these two variables. We use a production function based approach and model the role of health as a regular factor of production. Additionally, we depart from all the previous literature by estimating the gender disaggregated effect of human health on economic growth. We adopt a constant return to scale production function that fits the data in the microeconometric literature on return to human capital. Using this particular production function, we disaggregate the measures of human capital by including male and female life expectancy and school enrolments. Allowing for the dynamics of TFP to be embedded in the production function we empirically test it in growth form using various estimators appropriate for our data. Our main finding is that male life expectancy has a positive effect on the growth of income while female life expectancy has a negative effect, controlling for unobserved time and country effects in a panel of 83 countries from 1960 - 2009. We use lag differences of life expectancy and school enrolments and lagged growth rates of other inputs as instruments for controlling the endogenity of health in the growth regressions. We check for the robustness of the results with use of ‘deletion diagnostics’ to identify influential observations and outliers. The results continue to show that male life expectancy has a positive effect on income growth while that of female has a negative effect