Relational capital, profitability and access to credit: evidence from a sample of Italian small firms

This paper investigates the relationship between relational capital and profitability and accessibility to credit of a small firm. The extant literature shows a positive link between relational capital and other variables relevant to a firm’s development but does not cover access to credit. Here, a sample of 136 small firms from Piemonte (north-western Italy) is used. The results show that relational capital eases the access to credit and, in some cases, increases the probability of running positive profits.     

The evolution of financial intermediation: Evidence from 19th‐century Ontario microdata

Microdata for Ontario decedents in 1892 and 1902 is analyzed to help explain the dramatic growth of the Canadian banking system in the late 19th century. Combining data from probate inventories with census data at the township level, we find that the expansion of deposit banking happened at the extensive rather than intensive margin and was correlated with the expansion of the branch network of the banking system, although we cannot assign causation. Wealth and urbanization help to explain the growth of deposit banking but the significance of a dummy variable for 1902 points to other time‐correlated factors such as innovations in transportation and financial innovations that lowered costs and facilitated access to banking services.     

Fiscal Foresight,Limited Information and the Effects of Government Spending Shocks

We quantify the impact of government spending shocks in the US. Thereby, we control for fiscal foresight, a specific limited information problem (LIP) by utilizing the narrative approach. Moreover, we surmount the generic LIP inherent in vector autoregressions (VARs) by a factor‐augmented VAR (FAVAR) approach. We find that a positive deficit‐financed defence shock raises output by more than in a VAR (e.g. 2.61 vs. 2.04 for peak multipliers). Furthermore, our evidence suggests that consumption is crowded in. These results are robust to variants of controlling for fiscal foresight and reveal the crucial role of the LIP in fiscal VARs.     

How can biases affect entrepreneurial decision making? toward a behavioral approach to unicorns

International Entrepreneurship and Management Journal - How can cognitive biases affect the birth and evolution of entrepreneurial ventures? In Entrepreneurial Decision Making (EDM), this lively...     

Empirical factor demands and flexible functional forms: a bayesian approach

In this paper we compare classical econometrics, calibration and Bayesian inference in the context of the empirical analysis of factor demands. Our application is based on a popular flexible functional form for the firm's cost function, namely Diewert's Generalized Leontief function, and uses the well-known Berndt and Wood 1947–1971 KLEM data on the US manufacturing sector. We illustrate how the Gibbs sampling methodology can be easily used to calibrate parameter values and elasticities on the basis of previous knowledge from alternative studies on the same data, but with different functional forms. We rely on a system of mixed non-informative diffuse priors for some key parameters and informative tight priors for others. Within the Gibbs sampler, we employ rejection sampling to incorporate parameter restrictions, which are suggested by economic theory but in general rejected by economic data. Our results show that values of those parameters that relate to non-informative priors are almost equal to the standard SUR estimates, whereas differences come out for those parameters to which we have assigned informative priors. Moreover, discrepancies can be appreciated in some crucial parameter estimates obtained with or without rejection sampling.     

Deregulated Wholesale Electricity Prices in Italy: An Empirical Analysis

In this paper we analyze a time series of daily average prices in the Italian electricity market, which started to operate as a Pool in April 2004. Our objective is to model the high degree of autocorrelation and the multiple seasonalities in electricity prices. We use periodic time series models with GARCH disturbances and leptokurtic distributions and compare their performance with more classical ARMA-GARCH processes. The within-year seasonal variation is modelled using the low-frequency components of physical quantities, which are very regular throughout the sample. Our results reveal that much of the variability in the price series is explained by the interactions between deterministic multiple seasonalities. Periodic AR-GARCH models seem to perform quite well in mimicking the features of the stochastic part of the price process.

Optimal Individual Decisions with a Psycho-materialistic Utility Function

This paper proposes a theoretical model aimed at interpreting the outcome of some games. It is often observed that players do not play the Nash equilibrium, when their utility is modelled on their payoff only. However, other models which include psychological variables fail to describe the behaviours observed. Here I propose a utility function which encompasses both monetary and psychological payoffs in such a way that the predictions fit the actual decisions of the players observed in experiments.     

Measuring Representativeness in Different Electoral Systems,Using Italian and Dutch Data

I use power indices to assess the level of representative efficiency of different electoral systems. A representative democracy should “give voice” to as many people’s preferences as possible. This paper evaluates how close a given electoral system is to mirroring the distribution of votes cast in an election. To this goal, both power indices and differences between shares of votes received and seats gained are used. The distribution of power is also compared with both the share of seats of parties in the assembly and the share of votes obtained in the election. The results show that proportional systems and run-off majority are more efficient in terms of representativeness than first-past-the-post methods. Moreover, as the total number of seats in a parliament decreases, representative efficiency tends to increase. The analysis is conducted through simulations using conditional and real (Dutch and Italian) data.     

The recourse rule,regulatory arbitrage,and the financial crisis

In November 2001, regulators finalized the “Recourse Rule.” The rule lowered risk weights, and therefore commercial bank holding company capital requirements, to 0.2 for holdings of AAA- and AA-rated “private label” securitization tranches, created by investment banks and securitizing commercial bank holding company subsidiaries; risk weights for A-rated holdings equaled 0.5. The rule’s aim was to encourage securitization, but not risk-taking. Regulators indicated that the rule would apply to larger holding companies, without identifying them. Using bank holding companies with subsidiaries that commented on the proposed rule-makings as a treatment variable, average treatment effects from a fully flexible difference-in-differences model indicate that treated banks increased their holdings of the highly rated tranches relative to total assets, while other holding companies, on average, did not. Holding companies with greater highly rated tranche holdings also experienced greater increases in risk after Q1 2008, which suggests that poor performance may have been unanticipated.