Systemic technology policies: Issues and instruments

In this Introduction, we review the arguments that underpinned the workshop on which the special section is grounded and provide a structured sequence for the contents of the seven selected papers that comprise the section.     

Inside innovation persistence: New evidence from Italian micro-data

This paper contributes the analysis of the persistence of innovation activities, as measured by different innovation indicators and explores its past and path dependent characteristics. The study provides new insights on the role of R&D investments in innovation persistence and analyses differentiated patterns of persistence across product and process innovation, by accounting for complementarity effects between the two types of innovative behaviour. The empirical analysis is based on a sample of 451 Italian manufacturing companies observed during the years 1998–2006. Results highlight the relevance of innovation persistence. The highest level of persistence is found for R&D-based innovation activities, witnessing the actual presence of significant entry and exit barriers. Moreover, we obtain more robust evidence of persistence for product innovation than for process innovation when complementarity effects between the two types of innovation are accounted for.     

Economies of scale and scope in the European banking sector

In this article, using the data of 2008, we try to describe the impact of scale and product differentiation in 282 European banks. While evidence of the economies of scale is less clear, the results obtained using a translogarithmic function system show that significant economies of scope do exist even for new banking products like derivatives.

Money secrets: How does trade secret legal protection affect firm market value? Evidence from the uniform trade secret act

Research summary : We investigate the impact of trade secret legal protection on firm market value in the context of acquisitions. On one hand, market value may increase because trade secret assets become better protected from rivals. On the other hand, market value may decrease because trade secret protection reduces information about the target and its competitors available to potential buyers, increasing uncertainty about its value. Buyers will discount their offers in expectation of being compensated for riskier deals. Using a sample of private equity investments in the United States, we find that trade secret protection has a positive effect in industries with high mobility of knowledge workers, but a negative effect in industries with (1) high resource–value uncertainty and (2) high poor‐investment risk. Managerial summary : We argue that an increase in trade secret legal protection might not unequivocally benefit firm owners when selling their business. A stronger trade secret protection increases the market value of firms in industries with high workers' mobility, but it decreases the market value of firms in industries with uncertain resource value and/or high risk of poor‐acquisition investments. Based on the contingent effect of trade secret protection, companies may want to adjust their strategic decisions, including where to locate or relocate, based in part on whether they will derive benefits or suffer losses when trade secrets are better protected. Finally, our study should help policymakers understand more fully the economic impact of government policies associated with trade secrets. Copyright © 2016 John Wiley & Sons, Ltd.     

Banking and the role of money in the business cycle

This paper enriches a standard New Keynesian model with a simple banking sector to investigate the role of money in the business cycle. Maximum likelihood estimation of the model suggests that money balances play a significant role in explaining the intertemporal allocation of consumption and the dynamics of inflation as described by the forward-looking IS and Phillips curves. Nonetheless, the responses of the model’s variables to shocks remain qualitatively similar to a model without money, suggesting that the omission of money balances leaves the model’s transmission mechanism unaffected.     

National minorities and their representation in social surveys: which practices make a difference?

This paper presents a systematic study of survey mechanisms that produce or reduce minority bias in social surveys. It extends the work of Lipps et al. (2011) who have demonstrated that, in the Swiss context, the more an ethno-national minority community differs, socio-culturally and socio-economically, from the national majority, the less it is likely to be represented in its proper proportion in the major national surveys. Minority bias furthermore has a vertical dimension: socio-economic bias against individuals from the most deprived backgrounds becomes extreme within ethno-national minority communities. Using data from the Swiss Labour Force Survey, the Swiss Household Panel, and the Swiss sample of the European Social Survey, in the present work we empirically assess the impact of three types of survey practices on minority bias: (1) strategies to increase overall response rates of the whole population indiscriminately from its minority status, (2) the use of pre- and post-stratification measures that take into account the overall share of foreigners in the national population, and (3) the conduct of interviews in a wider range of languages, in order to facilitate survey response among certain (linguistic) minorities. Our findings show that efforts to increase overall response rates can, paradoxically, create even more minority bias. On the other hand, they suggest that a combination of stratified sampling and a wider range of survey languages can have a positive effect in reducing survey bias, both between and within national categories. We conclude that measures that take into account and adapt to the social and cultural heterogeneity of surveyed populations do make a difference, whereas additional efforts that only replicate existing routine practices can be counter-productive.     

CO‐INTEGRATING VAR MODELS AND ECONOMIC POLICY

This paper surveys some relevant contributions to the economic literature on co‐integrating vector autoregressive (VAR) models [vector error correction mechanisms (VECMs)], emphasizing their usefulness for economic policy. It further discusses some theoretical aspects that are necessary for a complete understanding of their potential. The theoretical introduction of the co‐integrating VAR model is followed by an illustration of its applications to monetary policy, fiscal policy and exchanges rates as well as in establishing the effects of structural bilateral shocks between countries (the so‐called global VAR, or GVAR, models). Special attention is paid to the VECM capacities of being used in conjunction with dynamic stochastic general equilibrium models and of jointly specifying the short‐ and long‐run dynamics, thus representing the steady‐state of economic systems (by means of the co‐integration relations) and the short‐run dynamics around it.     

Tariffs,trade and unemployment in a disequilibrium model: issues and policies

This paper studies the disequilibrium transition process engaged by increased openness to trade, and the effect of institutions, market behaviors and economic policies on that transition. The issue is analyzed with a simple two country (north and south), two goods model, amended in order to take into account the time dimension of both the production and the decision processes. Investigating the consequences of a tariff decrease by means of numerical simulations, we show to what extent wage and price setting, and the degree of tightness of monetary policy affect the outcome of the disequilibrium process. The main result is that capturing the gains associated with international trade requires market behaviors and economic policies, which are rather different from what is usually prescribed.

Intergenerational Earnings Inequality: New Evidence From Italy

Using an innovative dataset built by merging survey and administrative data, we provide new estimates of intergenerational earnings’ inequality between fathers and sons in Italy, extending previous evidence in several directions. We rely on the TSTSLS method to predict fathers’ earnings and compute intergenerational elasticities and imputed rank–rank slopes, trying to reduce estimation biases. Confirming previous evidence, we find that Italy is characterized by a high intergenerational inequality in cross-country comparison. Extending previous analyses, we show that the intergenerational association increases when sons at older ages and multi-annual averages of pseudo-fathers’ and sons’ earnings are considered. We also find that the intergenerational persistence differs across geographical macro-areas and is high also for daughters, especially when family earnings are considered. Furthermore, estimates where possible mediating factors of the parental influence are included among the covariates show that a high intergenerational association persists when sons’ education and occupation are controlled for.