A cautionary note on computing conditional from unconditional correlations

We show that some care is needed when inferring true unconditional correlations from observed conditional correlations, which is a frequent problem in empirical finance and elsewhere. We give a general formula for the relationship between the two and demonstrate its importance in the context of the bivariate t-distribution.     

Measurement error in imputation procedures

We study how estimators that are used to impute consumption in survey data are inconsistent due to measurement error in consumption. Previous research suggests instrumenting consumption to overcome this problem. We show that, if additional regressors are present, then instrumenting consumption may still produce inconsistent estimators due to the likely correlation between additional regressors and measurement error. On the other hand, low correlations between additional regressors and instruments may reduce bias due to measurement error. We apply our findings by revisiting recent research that imputes consumption data from the CEX to the PSID.     

Unsustainable timber harvesting, deforestation and the role of certification

Deforestation is a major environmental issue, while demand for timber products increases rapidly in the developing world. One can thus wonder whether forest harvesting is sustainable worldwide, or if demand for timber products is fulfilled with the products from deforestation. Our panel data analysis shows that countries where timber harvesting is more important tend to experience larger deforestation rates than others, giving the intuition that forest harvesting is generally not sustainable. We also show that timber certification is negatively related to deforestation and thus seems to be a good indicator of harvesting sustainability.     

Dynamic effects of trade openness on financial development

This paper employs the Pooled Mean Group (PMG) approach of Pesaran et al. (1999) to study the dynamic effects of trade openness on financial development. The advantage of the PMG estimator over other dynamic panel econometric techniques is that it allows short-run coefficients, speeds of adjustment and error variances to vary across countries, with cross-country homogeneity restrictions only on long-run parameters. Our results spanning 88 countries over 1960–2005 show that a positive long-run relationship between trade openness and financial development coexists with a negative short-run relationship. But when splitting the data into different income or inflation groups, this finding is observed only in relatively low-income countries or high-inflation economies.     

Viewpoint: An extended class of instrumental variables for the estimation of causal effects

Abstract We examine how structural systems can yield observed variables instrumental in identifying and estimating causal effects. We provide an exhaustive characterization of potentially identifying conditional exogeneity relationships and demonstrate how structural relations determine exogeneity and exclusion restrictions that yield moment conditions supporting identification. This provides a comprehensive framework for constructing instruments and covariates. We introduce notions of conditioning and conditional extended instrumental variables (XIVs). These permit identification but need not be traditional instruments, as they may be endogenous. We distinguish between observed XIVs and proxies for unobserved XIVs. A main message is the importance of sufficiently specifying causal relations governing the unobservables.     

Estimating Housing Price: Kriging the Mean

The price of houses and its evolution in recent years is one of the issues that citizens and, of course, political and economic authorities are worried about. In most of the developed countries the mean price (per square meter) of houses in an area is estimated by a simple average of single prices from a sample of houses that does not take into account the spatial correlation among the prices. As an alternative to this classic procedure, in this paper we propose a linear estimator of the mean price of houses, using the kriging estimator, which has been specially designed for the case of spatially correlated data in a given domain. This estimator is the best unbiased linear one and provides a more realistic estimate of the mean price of houses in the urban area we are interested in. Obviously, the modelling of the variogram function is a central point in the global estimation process.     

International portfolio reallocation: Diversification benefits and European monetary union

We investigate the determinants of bilateral international equity and bond portfolio reallocation across a large cross-section of countries spanning over two sample periods: 1997-2001 and 1997-2005. We find that the strongest drivers are the marginal diversification benefits arising from the pure asset component and the initial degree of underweight. This evidence suggests that global portfolio reallocations over the asset boom and bust period were determined by optimal diversification considerations. We also find that due to economic and monetary union (EMU) the weight assigned by euro area investors to investment in euro area countries increased significantly in equity and fixed income portfolios, with a trade diverting effect against the British bond market.     

A smooth coefficient quantile regression approach to the social capital–economic growth nexus

This analysis assesses the role of social capital in generating heterogeneity in growth processes across U.S. counties by estimating growth regressions, using the novel semiparametric smooth coefficient quantile regression method in which parameters are unspecified functions of a measure of social capital. The results indicate substantial differences across the quantiles of economic growth in the profile shapes of the coefficient estimates over the level of social capital. Moreover, the coefficient function estimates are highly nonlinear over the level of social capital, providing evidence that the growth process that links initial income, education attainment, ethnic diversity, inequality, population density, and government activity to growth varies with social capital in a nonlinear way.     

Resource abundance and economic growth in the United States

It is a common assumption that regions within the same country converge to approximately the same steady-state income levels. The so-called absolute convergence hypothesis focuses on initial income levels to account for the variability in income growth among regions. Empirical data seem to support the absolute convergence hypothesis for US states, but the data also show that natural resource abundance is a significant negative determinant of growth. We find that natural resource abundance decreases investment, schooling, openness, and R&D expenditure and increases corruption, and we show that these effects can fully explain the negative effect of natural resource abundance on growth.     

An improved generalized moments estimator for a spatial moving average error model

Following Arnold and Wied (2010), we suggest an improved generalized moments estimator for the spatial moving average error model which takes explicitly into account that the moment conditions are based on OLS residuals rather than the true disturbances.     

VOLUNTARY IMPORT EXPANSION AND DIRECT INVESTMENT*

This paper analyses the welfare effects of a market‐share Voluntary Import Expansion (VIE) in the presence of foreign direct investment utilizing a duality approach. Introducing the cost burden of VIE explicitly, this paper considers the conditions under which a market‐share VIE is voluntary to the importing country. It is shown that the voluntary nature of VIE depends upon the capital import, cost burden and price difference effects and that a VIE is truly voluntary if it is accompanied by direct investment. We also show the existence of a complementary relationship between VIE and direct investment in attaining a particular level of welfare.     

Do interest rates matter? Credit demand in the Dhaka slums

“Best practice” in microfinance holds that interest rates should be set at profit-making levels, based on the belief that even poor customers favor access to finance over low fees. Despite this core belief, little direct evidence exists on the price elasticity of credit demand in poor communities. We examine increases in the interest rate on microfinance loans in the slums of Dhaka, Bangladesh. Using unanticipated between-branch variation in prices, we estimate interest elasticities from − 0.73 to − 1.04, with our preferred estimate being at the upper end of this range. Interest income earned from most borrowers fell, but interest income earned from the largest increased, generating overall profitability at the branch level.     

Modelling price competition across many markets (An application to the Spanish loans market)

The purpose of this work is the structural modelling of price competition in a product-differentiated industry in which many firms of varying size compete across many independent small markets, with the target of identifying price behaviour. We apply it to model competition among the more than 79 banks that were active in the Spanish loans market during the period 1983-1991, using micropanel data. A model in which national banks (as opposed to regional and local banks) fully internalize their cross-rate effects in pricing is selected as the model that best fits the data. Our framework allows us to estimate the dead-weight loss due to market power, and to decompose it assessing the part attributable to price coordination.     

Second order bias of quasi-MLE for covariance structure models

For covariance structure models, the QMLE second-order bias is derived and compared with EL and GMM. Surprisingly, QMLE and EL have the same second-order bias if QMLE and GMM(EL) are equally first-order efficient. Other examples favoring QMLE are given.     

An algorithm for constructing high dimensional distributions from distributions of lower dimension

We propose a new sequential procedure for estimating multivariate distributions in cases when conventional maximum likelihood has too many parameters and is therefore inaccurate or non-operational. The procedure constructs a multivariate distribution and its pseudo-likelihood sequentially, in each step using lower-dimensional distributions with a small number of parameters. In an application, the procedure provides excellent fit when the dimension is moderate, and remains operational when the conventional method fails.     

STRATEGIC TRADE AND DELEGATED COMPETITION WITH ENDOGENOUS QUALITY CHOICE: IS EXPORT POLICY NEEDED?

This paper introduces the relative‐performance contract into a vertically differentiated product market and examines how the optimal trade policy and quality choice respond to the incentive mechanism. We find that the high quality firm makes better use of the delegation than the low quality firm in a cross‐border decentralized model. The main difference between the present paper and the strategic trade theory literature is that in this paper the optimal policy is free trade, which does not depend on whether firms compete by prices or quantities, and on whether the goods are substitutes or full complements.