Minimum Quality Standards Under Cournot Competition

I study the consequences of imposing a minimum quality standard on an industry in which firms first incur fixed quality development costs and subsequently compete over quantity. I find that a mildly restrictive minimum quality standard unambiguously reduces total welfare, in contrast to previous findings derived in the literature where it is assumed that firms compete over prices.     

Assessing the Fiscal Costs and Benefits of A8 Migration to the UK*

This paper assesses the fiscal consequences of migration to the UK from the Central and Eastern European countries that joined the European Union in May 2004 (A8 countries). We show that A8 immigrants who arrived after EU enlargement in 2004 and who have at least one year of residence, and are therefore legally eligible to claim benefits, are 59 per cent less likely than natives to receive state benefits or tax credits and 57 per cent less likely to live in social housing. Furthermore, even if A8 immigrants had the same demographic characteristics as natives, they would still be 13 per cent less likely to receive benefits and 29 per cent less likely to live in social housing. We go on to compare the net fiscal contribution of A8 immigrants with that of individuals born in the UK, and find that in each fiscal year since enlargement in 2004, irrespective of the way that the net fiscal contribution is defined, A8 immigrants made a positive contribution to the public finances despite the fact that the UK has been running a budget deficit over the last few years. This is because they have a higher labour force participation rate, pay proportionately more in indirect taxes and make much less use of benefits and public services.     

Trade and Productivity in a Transition Economy: the Role of Industry and Export Destination

This paper focuses on the joint role of industry technology intensity and export market characteristics in the analysis of export-related productivity gains. Using a unique database of Ukrainian manufacturing firms in 2000-06, we classify all manufacturing sectors according to their technology intensity and estimate destination-specific learning by exporting effects separately for firms operating in high and low technology sectors. New exporters in high technology sectors enjoy robust long-term productivity growth premia when targeting advanced export markets, consistent with learning through exports. Export entrants in low technology sectors, instead, enjoy mostly short-term productivity improvements regardless of the export destination. Our findings suggest that the systematic distinction between the technology intensity of various industries is a relevant dimension for empirical studies on destination-specific learning by exporting.     

Business models in the search for efficiency: the case of public financial intermediaries

This paper presents an optimal business model configuration for public financial intermediaries (PFIs). Using nonparametric techniques on Italian public financial corporations, the most efficient business models combined asset diversification and income specialization. These business models were unaffected by external financial turmoil, due to weak connections between PFIs and the traditional financial circuit; and public–private ownership is more efficient than purely public ownership, regardless of the business model adopted.     

Euromind‐ : A Density Estimate of Monthly Gross Domestic Product for the Euro Area

EuroMInd‐ is a density estimate of monthly gross domestic product (GDP) constructed according to a bottom‐up approach, pooling the density estimates of 11 GDP components, by output and expenditure type. The components' density estimates are obtained from a medium‐size dynamic factor model handling mixed frequencies of observation and ragged‐edged data structures. They reflect both parameter and filtering uncertainty and are obtained by implementing a bootstrap algorithm for simulating from the distribution of the maximum likelihood estimators of the model parameters, and conditional simulation filters for simulating from the predictive distribution of GDP. Both algorithms process the data sequentially as they become available in real time. The GDP density estimates for the output and expenditure approach are combined using alternative weighting schemes and evaluated with different tests based on the probability integral transform and by applying scoring rules. Copyright © 2016 John Wiley & Sons, Ltd.     

From temporary help jobs to permanent employment: what can we learn from matching estimators and their sensitivity?

The diffusion of temporary work agency (TWA) jobs has led to a harsh policy debate and ambiguous empirical evidence. Results for the USA, based on quasi‐experimental evidence, suggest that a TWA assignment decreases the probability of finding a stable job, while results for Europe, based on the conditional independence assumption (CIA), typically reach opposite conclusions. Using data for two Italian regions, we rely on a matching estimator to show that TWA assignments can be an effective springboard to permanent employment. We also propose a simulation‐based sensitivity analysis, which highlights that only for one of these two regions are our results robust to specific failures of the CIA. We conclude that European studies based on the CIA should not be automatically discarded, but should be put under the scrutiny of a sensitivity analysis like the one we propose. Copyright © 2008 John Wiley & Sons, Ltd.     

Incentives for input foreclosure

We analyze the incentives of a vertically integrated firm to foreclose downstream rivals in a model of upstream price competition between suppliers of only imperfectly substitutable inputs. Our main motivation is a critical assessment of common assertions that draw inferences from pre-merger observable variables to post-merger incentives to foreclose. In particular, we find that, contrary to some commonly expressed views, high margins on the downstream and low margins on the upstream market are not good predictors for the incentives of a newly integrated firm to foreclose rivals. Besides this contribution to policy, our model also extends existing results in the literature on vertical foreclosure through allowing for the interaction of product differentiation on the upstream and on the downstream market.     

Estimation of Common Factors under Cross‐Sectional and Temporal Aggregation Constraints

The paper estimates a large‐scale mixed‐frequency dynamic factor model for the euro area, using monthly series along with gross domestic product (GDP) and its main components, obtained from the quarterly national accounts (NA). The latter define broad measures of real economic activity (such as GDP and its decomposition by expenditure type and by branch of activity) that we are willing to include in the factor model, in order to improve its coverage of the economy and thus the representativeness of the factors. The main problem with their inclusion is not one of model consistency, but rather of data availability and timeliness, as the NA series are quarterly and are available with a large publication lag. Our model is a traditional dynamic factor model formulated at the monthly frequency in terms of the stationary representation of the variables, which however becomes nonlinear when the observational constraints are taken into account. These are of two kinds: nonlinear temporal aggregation constraints, due to the fact that the model is formulated in terms of the unobserved monthly logarithmic changes, but we observe only the sum of the monthly levels within a quarter, and nonlinear cross‐sectional constraints, since GDP and its main components are linked by the NA identities, but the series are expressed in chained volumes. The paper provides an exact treatment of the observational constraints and proposes iterative algorithms for estimating the parameters of the factor model and for signal extraction, thereby producing nowcasts of monthly GDP and its main components, as well as measures of their reliability.