The Modern Census: Evolution,Examples and Evaluation

A national census provides important information on a country's population that is used in government planning and to underpin the national statistical system. Therefore, the quality of such information is paramount but is not as simple as the crude accuracy of population totals. Furthermore, changes in the pace and nature of modern life, such as the growing geographical mobility of the population, increasingly pose challenges to census practice and data quality. More recently, even the need for a census has been questioned on grounds of financial austerity and widespread availability of alternative population information sources. This article reviews how the modern census originated and how it evolved to confront these challenges, driven by indicators of quality and needs of users, and provides reflections on the future of the census within the national statistical infrastructure. To illustrate our discussions, we use case studies from a diverse range of national contexts. We demonstrate the implications that a country's needs, circumstances and experiences have on the census approach and practice while identifying the fundamental demographic assumptions.     

Is foreign-bank efficiency in financial centers driven by home or host country characteristics?

This paper investigates whether home or host country factors can explain differences in technical efficiency among foreign banks operating in the Luxembourg financial center. We first address heterogeneity across banks by using the group-wise bootstrap to compare DEA measures of bank efficiency between branches and subsidiaries, focused and diversified banks, and euro area and non-euro area banks. We then control for these factors in a second-stage regression indentifying the impact of country-specific regulatory and macroeconomic variables on individual bank efficiency scores. Our regulatory indicators capture the strictness of capital requirements, private monitoring, official disciplinary power and restrictions on bank activities. Our macroeconomic indicators capture GDP per capita in the home country and its position in the business cycle. Our results carry policy implications for bank regulators in both home and host countries and provide insight into banks’ choice between establishing a branch or a subsidiary to develop cross-border activities through international financial centers.     

A two-step approach to account for unobserved spatial heterogeneity

A two-step approach to account for unobserved spatial heterogeneity. Spatial Economic Analysis. Empirical analysis in economics often faces the difficulty that the data are correlated and heterogeneous in some unknown form. Spatial econometric models have been widely used to account for dependence structures, but the problem of directly dealing with unobserved spatial heterogeneity has been largely unexplored. The problem can be serious particularly if we have no prior information justified by economic theory. In this paper we propose a two-step procedure to identify endogenously spatial regimes in the first step and to account for spatial dependence in the second step. This procedure is applied to hedonic house price analysis.     

Relocation of second degree: Moving towards a new place or returning home?

We study the “Relocations of Second Degree” (RSDs), i.e., the location decisions that modify the country of destination of a previous offshoring investment. Specifically, we distinguish between two types of RSDs, i.e., “Relocation to the Home Country (RHC)”, also known as back-reshoring, and “Relocation to a Third Country (RTC)”, i.e., the choice to move to a second host country.Specifically, we explore how the location advantages underlying the previous offshoring decision affect the probability to undertake an RHC, rather than an RTC. Location advantages reflect the favourable conditions that a foreign country offers with respect to the home one, in terms of market-seeking, asset-seeking and efficiency-seeking (i.e., cost-saving and productivity-enhancing) opportunities. Using data from the European Restructuring Monitor, we focus on the RSDs regarding manufacturing activities, implemented across European countries between 2002 and 2015. We find that, on the one hand, when a previous offshoring investment is driven by market-seeking location advantage, firms undertaking the RSD are more likely to opt for an RHC, except during the economic crisis where market-seeking European firms seem to prefer RTCs. On the other hand, RTC is a preferred choice when the location advantage is of efficiency-seeking type. In addition to offering a broader characterization of RSDs, our study provides empirical evidence of the relationship between the offshoring and relocation decisions. Managers should be aware of this connection when designing their manufacturing internationalization strategies.     

Functional separability within a quadratic inverse demand system

In this paper, a quadratic inverse (almost ideal) demand system (IQUAIDS) is derived, that generalizes the inverse (almost ideal) demand system (IAIDS). Starting from a flexible parameterization of the distance function, this model allows a more flexible specification by overcoming the potential restrictiveness of linear scale curves. However, at a point of normalization, the IQUAIDS boils down to the IAIDS, thus the additional flexibility pertains only to the specification of scale elasticities away from the point of approximation. Previous work on functional separability is extended to the case of inverse demands, and necessary and sufficient conditions for weak separability of the direct and indirect utility function derived, in terms of the Antonelli elasticities of complementarity and of the scale elasticities. Their proper parametric representation within the inverse specification is also derived. An empirical application to fish demand in Italy is provided, mainly for illustrative purposes.     

Tax Competition,Investment Irreversibility and the Provision of Public Goods

This article studies the effects of tax competition on the provision of public goods under business risk and partial irreversibility of investment. As will be shown, the provision of public goods changes over time and also depends on the business cycle. In particular, under source‐based taxation, in the short term, public goods can be optimally provided during a downturn. The converse is true during a recovery: in this case, they are underprovided. In the long term, however, tax competition does not affect capital accumulation. This means that the provision of public goods is unaffected by taxation.     

Is Integration Enough for Fast Product Development? An Empirical Investigation of the Contextual Effects of Product Vision*

Research into development time performance has suggested that integration—both internal, adopting cross‐functional organizational structures for development, and external, involving customers and suppliers in the process—can be a powerful driver when it comes to compressing cycle times and enhancing development punctuality. Some recent studies have also highlighted the compelling role of product vision to obtain high performances with product development. What these studies seem to suggest is that product vision guarantees the right goals and clarity of direction that integration mechanisms need to quickly develop new products and to stay on the development schedule. However, past studies have rarely considered or measured product vision as a construct and explicitly tested whether or not product vision acts as a contingent factor in determining the relationships between the aforementioned organizational drivers and development time. This research study maintains that product vision is crucial to pushing organizational drivers toward increased development efficiency. To find theoretical support for this position and to define a reference framework for the study, previous literature was analyzed. In the framework, both internal and external development integration are assumed to be positively related to time performance; however, these relationships are moderated by product vision. The model was then tested empirically on an international sample of 157 firms to verify and to obtain empirical support for the hypothesized relationships. The results confirm the importance of external integration in achieving better time performance. However, the influence of this driver on cycle time can also be increased by the presence of a very well‐defined product vision. The relationship between internal integration and time performance is more complex. Though it seems to slow down the process as a single factor, its interaction effect with product vision is in fact positive. These results have several managerial implications. First, externally integrated development can greatly improve time performance; however, the best results in terms of acceleration can be obtained when there is a well‐defined product vision. Furthermore, product vision is essential in the case of internal integration: A cross‐functional process alone would not be enough for development acceleration in the absence of product vision. Hence, managers interested in obtaining high time performances should accompany the adoption of integration mechanisms with increased attention to sharing clear objectives and directions with all those—both inside the firm (i.e., team members and functional representatives) and outside the firm (i.e., customers and suppliers)—involved in development and as well as throughout the firm.     

A revisited and stable Fourier transform method for affine jump diffusion models

In the last decade, fast Fourier transform methods (i.e. FFT) have become the standard tool for pricing and hedging with affine jump diffusion models (i.e. AJD), despite the FFT theoretical framework is still in development and it is known that the early solutions have serious problems in terms of stability and accuracy. This fact depends from the relevant computational gain that the FFT approach offers with respect to the standard Fourier transform methods that make use of a canonical inverse Levy formula. In this work we revisit a classic FT method and find that changing the quadrature algorithm and using alternative, less flawed, representation for the pricing formulas can improve the computational performance up to levels that are only three time slower than FFT can achieve. This allows to have at the same time a reasonable computational speed and the well known stability and accuracy of canonical FT methods.