Firm internationalization and performance: Evidence for designing policies

The debate on the relationship between internationalization and performance is still open and is a hot topic for policymakers, but they ignore the impacts for most of the firms supported. The paper is based on a large database of seven years that considers quantitative-qualitative and control variables. To reduce industry and country heterogeneity we focused on the Italian automotive supply chain. We tested 5 modes of internationalization on firms’ profitability so to support the design of policies. Our results are partially in contrast with literature; therefore we identify specific environments where policies, namely for exporting, could be more effective.     

The role of macroeconomic policies in the global crisis

This paper argues that the lack of timely and decisive policy action to correct domestic and external imbalances contributed crucially to the build-up of financial excesses that led to the financial crisis and the Great Recession. We focus on 2002–2007 and perform a number of counterfactual simulations to investigate two central elements of the story, namely: (a) an over-expansionary US monetary policy and the absence of effective macro-prudential supervision, which permitted a prolonged expansion of debt-financed consumer spending and (b) the choice by China and other emerging countries to pursue an export-led growth strategy supported by pegging their currencies to the US dollar, in conjunction with sluggish domestic demand in major advanced economies characterized by low potential output growth. The results of the simulations lend support to the view that if substantial, globally coordinated demand rebalancing had been undertaken early on, the macroeconomic and financial imbalances would not have accumulated to the extent that they did and the financial turmoil might have had less drastic global consequences.     

Approximate jackknife empirical likelihood method for estimating equations

It is known that the profile empirical likelihood method based on estimating equations is computationally intensive when the number of nuisance parameters is large. Recently, Li, Peng, & Qi (2011) proposed a jackknife empirical likelihood method for constructing confidence regions for the parameters of interest by estimating the nuisance parameters separately. However, when the estimators for the nuisance parameters have no explicit formula, the computation of the jackknife empirical likelihood method is still intensive. In this paper, an approximate jackknife empirical likelihood method is proposed to reduce the computation in the jackknife empirical likelihood method when the nuisance parameters cannot be estimated explicitly. A simulation study confirms the advantage of the new method. The Canadian Journal of Statistics 40: 110–123; 2012 © 2012 Statistical Society of Canada     

Restricted maximum likelihood estimation of joint mean‐covariance models

The class of joint mean‐covariance models uses the modified Cholesky decomposition of the within subject covariance matrix in order to arrive to an unconstrained, statistically meaningful reparameterisation. The new parameterisation of the covariance matrix has two sets of parameters that separately describe the variances and correlations. Thus, with the mean or regression parameters, these models have three sets of distinct parameters. In order to alleviate the problem of inefficient estimation and downward bias in the variance estimates, inherent in the maximum likelihood estimation procedure, the usual REML estimation procedure adjusts for the degrees of freedom lost due to the estimation of the mean parameters. Because of the parameterisation of the joint mean covariance models, it is possible to adapt the usual REML procedure in order to estimate the variance (correlation) parameters by taking into account the degrees of freedom lost by the estimation of both the mean and correlation (variance) parameters. To this end, here we propose adjustments to the estimation procedures based on the modified and adjusted profile likelihoods. The methods are illustrated by an application to a real data set and simulation studies. The Canadian Journal of Statistics 40: 225–242; 2012 © 2012 Statistical Society of Canada     

Return and volatility interaction between oil prices and stock markets in Saudi Arabia

The paper aims at investigating the links between world oil price and stock sector markets in Saudi Arabia over the weekly period from January 10, 2007 until September 28, 2011. To that effect, we make use of the VAR-GARCH process developed by Ling and McAleer (2003), which has the advantage to address the issue of return and volatility spillovers among the series we consider. Globally, the empirical findings show evidence of return and volatility transmission between oil price and stock sectors. However, the spillover effects are unidirectional from oil to some sectors for returns, but bidirectional for volatility patterns with more apparent links from sectors to oil. The optimal weights and hedge ratios for oil/stock portfolio holdings are sensitive to the sectors considered, and allow a better understanding of the links between sectors and oil for investors who seek for investment opportunities and want to diversify their portfolios. The findings are of great interest and have important implications for investors, market participants and policy makers.     

Financial inclusion in India: An axiomatic approach

In this paper we first develop an axiomatic measure of financial inclusion. This measure is readily implementable and useful to determine policy priorities to promote financial inclusion. Next, we demonstrate that supply side data on banking services can be usefully employed to measure financial inclusion. Third, we examine the effects of major banking policies on financial inclusion across states in India during 1972–2009, using panel data econometrics techniques. We find that the social-banking policy has played crucial role to foster financial inclusion across states in India during 1977–1990. Thereafter, the move toward pro-market financial sector reform has adversely affected the pace of financial inclusion. This paper identifies geographic penetration of banks and credit availability as two policy targets to foster financial inclusion in India.     

IMMIGRATION,WAGES, AND COMPOSITIONAL AMENITIES

There is strong public opposition to increased immigration throughout Europe. Given the modest economic impacts of immigration estimated in most studies, the depth of anti‐immigrant sentiment is puzzling. Immigration, however, does not just affect wages and taxes. It also changes the composition of the local population, threatening the compositional amenities that natives derive from their neighborhoods, schools, and workplaces. In this paper we use a simple latent‐factor model, combined with data for 21 countries from the 2002 European Social Survey (ESS), to measure the relative importance of economic and compositional concerns in driving opinions about immigration policy. The ESS included a unique battery of questions on the labor market and social impacts of immigration, as well as on the desirability of increasing or reducing immigrant inflows. We find that compositional concerns are 2–5 times more important in explaining variation in individual attitudes toward immigration policy than concerns over wages and taxes. Likewise, most of the difference in opinion between more‐ and less‐educated respondents is attributable to heightened compositional concerns among people with lower education.     

RETHINKING THE EFFECT OF IMMIGRATION ON WAGES

This paper calculates the effects of immigration on the wages of native US workers of various skill levels in two steps. In the first step we use labor demand functions to estimate the elasticity of substitution across different groups of workers. Second, we use the underlying production structure and the estimated elasticities to calculate the total wage effects of immigration in the long run. We emphasize that a production function framework is needed to combine own‐group effects with cross‐group effects in order to obtain the total wage effects for each native group. In order to obtain a parsimonious representation of elasticities that can be estimated with available data, we adopt alternative nested‐CES models and let the data select the preferred specification. New to this paper is the estimate of the substitutability between natives and immigrants of similar education and experience levels. In the data‐preferred model, there is a small but significant degree of imperfect substitutability between natives and immigrants which, when combined with the other estimated elasticities, implies that in the period from 1990 to 2006 immigration had a small effect on the wages of native workers with no high school degree (between 0.6% and +1.7%). It also had a small positive effect on average native wages (+0.6%) and a substantial negative effect (−6.7%) on wages of previous immigrants in the long run.     

OIL AND THE MACROECONOMY: A QUANTITATIVE STRUCTURAL ANALYSIS

We model an open economy where macroeconomic variables fluctuate in response to oil supply shocks, as well as aggregate demand and supply shocks generated domestically and abroad. We use several robust predictions of the model to identify five fundamental shocks underlying the fluctuations of the (real) oil price, the US activity and the global business cycle. The estimates show that supply shocks generated in the global economy explain the largest fraction of the oil price fluctuations, about four times more than canonical oil supply shocks. The correlation between oil prices and the US activity varies with the type of shock.     

Gender wage discrimination at quantiles

The literature provides several scalar measures of gender wage discrimination that cannot identify whether discrimination is greater among high earners or among low earners. Furthermore, two populations may exhibit the same value of the scalar measure while discrimination could be very differently distributed. We extend Oaxacas scalar measure to any quantile of the distribution of wages. Our measure allows comparisons within a population and inter-population. Using the Spanish Survey of Wage Structure we find that gender wage discrimination increases with the quantile index but as a fraction of the gender wage gap reaches a maximum at the ninth percentile.All Correspondence to Javier Gardeazabal. We would like to thank Alberto Abadie and Teo Pérez Amaral for their comments. Financial support from the Basque Government, the Spanish Ministerio de Ciencia y Tecnología and Ministerio de Trabajo y Asuntos Sociales (Instituto de la Mujer) is gratefully acknowledged. Javier Gardeazabal would like to thank the Department of Economics of the University of California, Santa Cruz, for its hospitality while part of this work was carried out, and the Spanish Ministerio de Educación y Cultura for financing the visit to UCSC. Responsible editor: Daniel Hamermesh.