The missing shock: the macroeconomic impact of British Privatizations

In this paper the impact of privatization on macroeconomic performance in the United Kingdom is tested using quarterly data from 1979 to 1999. Privatization proceeds have been included in a simple analytical framework dealing with both demand and supply-side of the economy. Multivariate cointegration techniques have been used in order to consider the nonstationarity of the time series involved. The empirical results show that privatizations have no long-run effects on output in the UK. This result is consistent with microeconomic evidence that shows that in the UK ownership change per se had little impact on long term productivity trends. Moreover it is found that privatization proceeds have contributed to sustaining public expenditures.     

The role of institutional investors in public-to-private transactions

In Italy, as in many other European countries, listed firms will normally go dark through controlling owner-initiated tender offers. We find that institutional investors play a central role in the bid process and can protect minority shareholders from being frozen out in the bid. Specifically, tender offers are less likely to succeed when a firm has institutional investors in its ownership structure. When public-to-private offers are accepted, bid premiums are significantly greater if a financial institution (particularly when it is foreign, independent or activist) has a stake in the firm. We explore the effect of a number of hitherto unexplored factors on the takeover premium and find that shareholder agreements facilitate public-to-private acquisitions. Other factors, such as a threat to merge the target if the bid fails, or external validation of the offer price, have no impact on either the likelihood of delisting or the premium paid by the bidder.     

Back to Engel? Some evidence for the hierarchy of needs

Using UK household expenditure data spanning over four decades (1960–2000), this paper employs Engel’s needs-based approach to analyzing household expenditure patterns and finds evidence for the existence of a stable hierarchy of expenditure patterns at low levels of household income. Second, we investigate how rising household income influences the manner in which total expenditure is distributed across Engel’s expenditure categories. Our results suggest that i) total household expenditure is distributed across Engel’s expenditure categories in an increasingly even manner as household income increases and ii) over time, there has been an acceleration in the rate at which household expenditure patterns become diversified as household income rises. Finally, we consider how the shape of Engel Curves may help shed light on the relationship between goods and the underlying needs they serve.     

On the Identification of Interdependence and Contagion of Financial Crises

In this paper we propose a new framework for modelling heteroskedastic structural vector autoregressions. The identification of the structural parameters is obtained by exploiting the heteroskedasticity in the data naturally arising during crisis periods. More precisely, we provide identification conditions when heteroskedasticity and traditional restrictions on the parameters are jointly considered. Although the framework is general enough to find potential applications in many empirical economic fields, it proves to be well suited for distinguishing between interdependence and contagion in the literature related to the transmission of financial crises. This methodology is used to investigate the relationships between sovereign bond yields for some highly indebted EU countries.     

Causal Inference by Independent Component Analysis: Theory and Applications*

Structural vector‐autoregressive models are potentially very useful tools for guiding both macro‐ and microeconomic policy. In this study, we present a recently developed method for estimating such models, which uses non‐normality to recover the causal structure underlying the observations. We show how the method can be applied to both microeconomic data (to study the processes of firm growth and firm performance) and macroeconomic data (to analyse the effects of monetary policy).     

Item response theory and the measurement of deprivation: evidence from Luxembourg data

Item response theory (IRT) has recently been proposed as a framework to measure deprivation. It allows a latent measure of deprivation to be derived from a set of dichotomous items indicating deprivation, and the determinants of deprivation to be analysed. We investigate further the use of IRT models in the field of deprivation measurement. First, the paper emphasises the importance of item selection and the Mokken Scale Procedure is applied to select the items to be included in the scale of deprivation. Second, we apply the one- and the two-parameter probit IRT models for dichotomous items to two different sets of items, in order to highlight different empirical results. Finally, we introduce a graphical tool, the Item Characteristic Curve (ICC), and analyse the determinants of deprivation in Luxembourg. The empirical illustration is based on the fourth wave of the “Liewen zu Lëtzebuerg” Luxembourg socioeconomic panel (PSELL-3).     

Interest rate risk estimation: a new duration-based approach

Duration is widely used by fixed income managers to proxy the interest rate risk of their assets and liabilities. However, it is well known that the convexity of the price-yield relationship introduces approximation errors that grow with changes in yield. In this article we suggest a new approach, ‘discrete duration’, which significantly improves upon the accuracy of traditional duration methods and achieves a level of accuracy close to the more complex ‘duration-plus-convexity’ measure. In particular, discrete duration performs particularly well for long dated and low coupon rate bonds where the estimation error is impressively close to zero.     

The structural transformation between manufacturing and services and the decline in the US GDP volatility

I construct a two-sector growth model to study the effect of the structural transformation between manufacturing and services on the decline in GDP volatility in the US. In the model, a change in the relative size of the two sectors affects the transmission mechanism that relates sectoral TFP shocks to endogenous variables. I calibrate the model to the US and show that, for given stochastic sectoral TFP processes in manufacturing and services, structural change generates a decline in the volatility of both aggregate TFP and GDP, in the volatility of each broad component of GDP (manufacturing consumption, services consumption and investment) and in the volatility of labor. Numerical results suggest that the structural transformation can account for 28% of the reduction in the US GDP volatility between the periods 1960–1983 and 1984–2005.     

Emerging markets’ spreads and global financial conditions

In this article, we analyze how much of the reduction in emerging markets’ spreads can be ascribed to specific factors—linked to the improvement in a given country's fundamentals, rather than to common factors—linked to global liquidity conditions and agents’ risk aversion. By means of factor analysis, we find that a single common factor is able to explain a large part of the co-variation in emerging market economies’ (EMEs) spreads observed in the last 4 years; in turn, this common factor can be traced back mainly to financial market volatility. Due to the particularly benign global financial conditions of recent years, spreads seem to have declined to below the levels warranted by improved fundamentals. As a consequence, EMEs do remain vulnerable to sudden shifts in financial market conditions.