Capital Flows to Latin America (2003–17): A Critical Survey from Prebisch’s Business Cycle Theory

ABSTRACT

The economic literature on capital flows to developing countries has shared two important commonalities since the 1990s. Published works (whether they focus on the external situation or stress the domestic determinants of capital flows) tend to assume a beneficial effect of capital inflows, which leads to an improvement of peripheral institutions, whose deficiencies are ostensibly the main cause of economic turmoil and/or failure in attracting capital flows, in continuity with New Institutional Economics. In doing so, mainstream economists deliberately overlook the asymmetric characteristics of the international monetary system and the persisting hegemony of dollar. Raul Prebisch’s pioneering work on business cycles in Latin America provide an alternative view, one capable of amending the existing mainstream literature. On the one hand, Prebisch stressed the destabilizing role of capital inflows on Latin American economies, particularly short-term speculative capital. On the other hand, Prebisch designed a set of counter cyclical monetary policies in order to contrast capital volatility, particularly during downturns. An analysis of stylized facts shows that, when correctly updated, Prebisch’s theory has remarkable explanatory potential when applied to Latin America’s current economic and financial situation.     

A new coincident index of business cycles based on monthly and quarterly series

Popular monthly coincident indices of business cycles, e.g. the composite index and the Stock–Watson coincident index, have two shortcomings. First, they ignore information contained in quarterly indicators such as real GDP. Second, they lack economic interpretation; hence the heights of peaks and the depths of troughs depend on the choice of an index. This paper extends the Stock–Watson coincident index by applying maximum likelihood factor analysis to a mixed‐frequency series of quarterly real GDP and monthly coincident business cycle indicators. The resulting index is related to latent monthly real GDP. Copyright © 2002 John Wiley & Sons, Ltd.     

Climate Change Policies and Tax Recycling Schemes: Simulations with a Dynamic General Equilibrium Model of the Italian Economy

A dynamic general equilibrium model of the Italian economy is used to assess the impact of carbon taxation (or auctioned carbon permits), where additional revenue is used to cut either existing taxes on labor or on capital income. Simulation results do not support the existence of the so-called "double dividend" when labor taxes are reduced, whereas lower tax rates on capital have mild positive effects on growth and welfare, with progressivity properties on income distribution. These findings hinge on the assumptions of open economy, given world interest rate, and capital mobility.     

Trade and agricultural development in the 1980s and the challenges for the 1990s: Latin America

Trends in agricultural trade for South and Central America are documented and the reform process is discussed. Performance of the agricultural sector of the region is evaluated. Challenges for policy makers are reviewed, ranging from macroeconomic policy to science and technology.     

Environmentally oriented innovative strategies and firm performance in services. Micro‐evidence from Italy

This paper aims at analysing the impact of environmentally oriented innovative strategies on firms’ economic performance in terms of employment, turnover and labour productivity growth. We exploit a unique dataset of 773 Italian service firms with 20 or more employees, based on 1993–1995 Community Innovation Survey (CIS) II data on innovation strategies and 1995–1998 System of the Enterprise Account (SEA). Using a Gibrat‐like empirical model, our findings show a negative link between environmental motivations and growth in employment and turnover in the short term, which then associates to a not significant or even negative effect on labour productivity growth, a result which is explainable by various factors: non‐mature markets; early movers that need more time to grasp the benefits of innovative actions; weaknesses of some service branches. The effect on employment is in part compatible with the existing evidence and may be based on efficiency improvements (dematerialisation processes), which also impact on efficiency by reducing workforce numbers. The effect on turnover of environmental innovation strategy is negative, implying either a short‐medium effect, possibly balanced in the long run by net benefits in terms of higher added value, or a real negative impact, which may be contingent on the period of observation, when environmental strategies where not at the heart of strategic management policies. Neither Porter‐like effects nor virtuous circles among environmentally strategies and performance seem to be present, at least in the short run and for services firms, calling for the necessity of further analyses on medium‐ long‐term effects and performances of specific service branches. Though effects on performances could turn out positive in the long run when mature green markets and investments provide their benefits, our evidence highlights that services could still find hard times in tackling the well‐known low productivity ‘disease’ even in the environmental realm.     

Nonparametric estimation of stochastic volatility models

This letter introduces nonparametric estimators of the drift and diffusion coefficient of stochastic volatility models which exploit techniques for estimating integrated volatility with high-frequency data. The performance of the proposed estimators is assessed on simulations of two popular stochastic volatility models.     

Local banking and local economic growth in Italy: some panel evidence

This article provides new evidence on the contribution of local banking to local economic growth (i.e. at county level – the Italian ‘province’) in Italy. A comprehensive data set is used, which includes control variables for social capital and human capital as well as indicators of the quality of local infrastructures and the production structure of the local economy. A linear within-estimator technique with fixed effects is applied to a modified version of the so-called Barro regression in order to address the well-known econometric issues of reverse causality and estimation bias resulting from unobserved district-specific influences.     

Market clearing and derivative pricing

Summary. We develop a method of assigning unique prices to derivative securities, including options, in the continuous-time finance model developed in Raimondo (2001). In contrast with the martingale method of valuing options, which cannot distinguish among infinitely many possible option pricing processes for a given underlying securities price process when markets are dynamically incomplete, our option prices are uniquely determined in equilibrium in closed form as a function of the underlying economic data.Received: 14 April 2003, Revised: 7 January 2004, JEL Classification Numbers: G13, D52.This paper is dedicated to Birgit Grodal, whose strength and character we greatly admire. We are very grateful to Darrell Duffie, Steve Evans, Botond Koszegi, Roger Purves, Jacob Sagi, Chris Shannon, Bill Zame and an anonymous refereee for very helpful discussions and comments. The work of both authors was supported by Grant SES-9710424, and Andersons work was supported by Grant SES-0214164, from the National Science Foundation.     

Regionality revisited: An examination of the direction of spread of currency crises

What determines the direction of spread of currency crises? We examine data on waves of currency crises in 1992, 1994, 1997, and 1998 to evaluate several hypotheses on the determinants of contagion. We simultaneously consider trade competition, financial links, and institutional similarity to the “ground zero” country as potential drivers of contagion. To overcome data limitations and account for model uncertainty, we utilize Bayesian methodologies hitherto unused in the empirical literature on contagion. In particular, we use the Bayesian averaging of binary models that allows us to take into account the uncertainty regarding the appropriate set of regressors.We find that institutional similarity to the ground zero country plays an important role in determining the direction of contagion in all the emerging market currency crises in our dataset. We thus provide persuasive evidence in favour of the “wake-up call” hypothesis for financial contagion. Trade and financial links may also play a role in determining the direction of contagion, but their importance varies amongst the crisis periods.