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This paper studies the transmission of crime shocks to the economy in a sample of 32 Mexican states over the period from 1993 to 2012. The paper uses a panel structural VAR approach which accounts for the heterogeneity of the dynamic state level responses in GDP, FDI and international migration flows, and measures the transmission via the impulse response of homicide rates. The approach also allows the study of the pattern of economic responses among states. In particular, the percentage of GDP devoted to new construction and the perception of public security are characteristics that are shown to be associated with the sign and magnitude of the responses of economic variables to crime shocks.
This title presents a survey of the crime problem in Latin America, which takes a very broad and appropriately reductionist approach to analyse the determinants of the high crime levels, focusing on the negative social conditions in the region, including inequality and poverty, and poor policy design, such as relatively low police presence. The chapters illustrate three channels through which crime might generate poverty, that is, by reducing investment, by introducing assets losses, and by reducing the value of assets remaining in the control of households.
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Identify postsecondary, degree granting institutions in the U.S., its possessions and territories accredited by regional, national, professional and specialized agencies recognized as accrediting bodies by the U.S. Secretary of Education.
Until now, thinking on open economy macroeconomics has been largely schizophrenic. When it comes to analyzing exchange rate dynamics, an empirically-minded economist abandons modern current account models which, while theoretically coherent, fail to address the awkward reality of sticky nominal prices. In this paper we develop an analytically tractable two-country model that marries a full account of dynamics to a supply framework based on monopolistic competition and sticky prices. It offers simple and intuitive predictions about exchange rates and current accounts that sometimes differ sharply from those of either modern flexible-price intertemporal models, or traditional sticky-price Keynesian models. The model also leads to a novel perspective on the international welfare spillovers of monetary and fiscal policies.
VAR methods suggest that the monetary transmission mechanism may be weak and unreliable in low-income countries (LICs). But are structural VARs identified via short-run restrictions capable of detecting a transmission mechanism when one exists, under research conditions typical of these countries? Using small DSGEs as data-generating processes, we assess the impact on VAR-based inference of short data samples, measurement error, high-frequency supply shocks, and other features of the LIC environment. The impact of these features on finite-sample bias appears to be relatively modest when identification is valid—a strong caveat, especially in LICs. However, many of these features undermine the precision of estimated impulse responses to monetary policy shocks, and cumulatively they suggest that “insignificant” results can be expected even when the underlying transmission mechanism is strong.