Is There an Austrian Approach to Transition?

This paper discusses the meaning of the term transition and its implications for policy making. It is suggested that an Austrian view would enhance a better understanding of what has been happening in Central and Eastern Europe in the past decade. Within this framework, the analysis should be based on three criteria: acquisition of knowledge, individual responsibility, free entry. It concludes that future transition analysis should devote more attention to the way a number of subjectivistic features drive institutional change, as well as to the features of the new opportunity sets made available to individuals.     

Industry Dynamics and the Distribution of Firm Sizes: A Nonparametric Approach

The aim of this paper is to analyze the evolution of the size distribution of young firms within some selected industries, using as a background three theories of the distribution of firm sizes that identify a process of passive learning (Jovanovic 1982), one of active learning (Ericson and Pakes 1995), and an evolutionary one (Audretsch 1995) in the postentry dynamics of business firms. We use a non-parametric technique, the kernel density estimator, applied to a data set from the Italian National Institute for Social Security (INPS), consisting of 12 cohorts of new manufacturing firms that were followed on a quarterly base for six years. We find that firm size distribution is in general skewed to the right, although different industries display different paths and speeds of convergence toward the limit distribution. This finding is fairly consistent with theories allowing for industry heterogeneity in terms of structural and technological features, which, in turn, result in industry-specific evolution of the size distribution of new entrants.     

Ineligibles and eligible non-participants as a double comparison group in regression-discontinuity designs

In a sharp regression-discontinuity design (RDD) the participation status deterministically depends on whether a pre-programme characteristic is above or below a specified threshold. The attractiveness of such a design rests on close similarities with a formal experiment. Nevertheless, it is of limited applicability since participation into a programme is seldom determined according to this rule. Besides, in the presence of heterogeneous effects a sharp RDD only allows identification of mean effects for individuals around the threshold for participation. Two results are presented in this paper, and they both partially overcome the two limitations described above. We show that when individuals self-select into participation conditional on some eligibility criteria a sharp RDD provides a natural framework to define a specification test for the non-experimental estimation of programme effects for participants away from the threshold. We also show that, in this set-up, the regularity conditions required for the identification of the mean counterfactual outcome for participants marginally eligible for the programme are essentially the same as in a sharp RDD.     

The day after: newly-elected politicians and the use of accounting information

Most democracies expect accounting information to be used by public managers and elected politicians to support decision-making and accountability to both the public and higher levels of government. This paper shows that Italian local government politicians also use accounting information to influence public opinion and to win political benefit after elections when there has been a change in the ruling party.     

Intuitionistic fuzzy sets in questionnaire analysis

Fuzzy sets represent an extension of the concept of set, used to mathematically model veiled and indefinite concepts, such as those of youth, poverty, customer satisfaction and so on. Fuzzy theory introduces a membership function, expressing the degree of membership of the elements to a set. Intuitionistic fuzzy sets and hesitant fuzzy sets are two extensions of the theory of fuzzy sets, in which non-membership degrees and hesitations expressed by a set of experts are, respectively, introduced. In this paper, we apply intuitionistic fuzzy sets to questionnaire analysis, with a focus on the construction of membership, non-membership and uncertainty functions. We also suggest the possibility of considering intuitionistic hesitant fuzzy sets as a valuable theoretical framework. We apply these models to the evaluation of a Public Administration and we assess our results through a sensitivity analysis.     

Heterogeneous Firms and Asymmetric Product Differentiation

We introduce asymmetric product differentiation in a model characterized by a linear demand system, endogenous markups and heterogeneous firms (as in Melitz‐Ottaviano [2008]). In particular, a single industry is divided into a number of market segments, each characterized by a different degree of horizontal product differentiation. Such a setup allows us to explain, within a single theoretical framework, the non‐linear relations between firm productivity, size and exporting behavior that have been documented by the empirical literature. The theoretical results are tested empirically by examining the performance of French wine producers operating in market segments characterized by different levels of horizontal product differentiation. Such segments are identified using the official classification of French wines based upon the controlled denomination of origin, i.e., the Appellation d'Origine Contrôlée (AOC) system.     

Growth in total factor productivity and links among firms

In this paper we study the relevance of links among firms in explaining the mean and the auto-correlation property of the aggregate total factor productivity rate of growth (Solow residual). Our approach relies on the interaction between idiosyncratic shocks of firms and the network structure of firms. We analytically study this phenomenon using the adjacency matrix of a complete network and we present a simulation with more general random adjacency matrices. We also check empirically, using Italian data, the relationship between the network structure and the Solow residual. In particular, in the empirical part, we find two main results: firstly, the relationship between the Solow residual and the measure of connectivity of firms is positive, in accordance with the analytical results. Secondly, we find that the measure of connectivity is pro-cyclical with the annual growth rate of industrial production.     

Partial adjustment without tears: A tale for the tolar

The design of monetary system in Slovenia was influenced by the heritage of peristent shortages of foreign exchange. This and other considerations prompted a decision that a new currncy-Tolar was to float on two separate foreign exchange markets: a market for current account transactios, and a market for capital account transactios. Actual developments differed considerably from forecasts; an abundance prevailed, and the Tolar remained remarkably strong. The aim of the paper is to present, estimate and test a simple model describing the behaviour of the Tolar in the first period of high uncertainty; and to assess its relevance for the real world. Exchange-rate movements are analyzed as if they were adjusting to the expected price level. The results imply that the dealers do not wait for new data on prices to be disclosed; they, howevr, try and anticipate the likely effects of inflation on the exchange rate. It is shown that interventions by the Central Bank did not affect the SIT/DM exchange rate appreciably. The answer to the question whether other Eastern European countries could have benefitted from the short-run story of the tolar, is inconclusive, if not negative.We are grateful to A. Beltratti, A. Brzeski, Ch. Flinn, P. Sgro, H. Wagener and the referees of this Journal for their comments on a preliminary draft of this paper. Part of this work has been carried out while J. Mencinger was a Fellow at ICER, Turin, to which we are both indebted.     

Economic Fluctuations in the U.S. and Euro Area: Quantifying the Contribution of Technical Change

This article aims at quantifying the contribution of technical change to cyclical fluctuations in the U.S. and euro area. We distinguish technical progress in labor-augmenting and capital-augmenting change. To this end, we derive and estimate a New Keynesian DSGE model embodying a constant elasticity of substitution (CES) production function for both areas. Our main findings are: (i) capital-augmenting progress is the main source of technical change volatility; (ii) labor-augmenting shocks give a negligible contribution to the variance of output; (iii) technical change (of both types) explains more economic fluctuations in the U.S. than in the euro area; and (iv) historical decomposition of GDP growth over our sample period (1980–2008) shows that capital-augmenting progress is one of the key drivers of the business cycle.