On the time stability of the output–capital ratio

This paper is concerned with the role of the output–capital ratio in growth models. In the first part we highlight the behaviour of the output–capital ratio along the balanced growth path in the models of Solow [Q. J. Econ. 70 (1956) 65] and Romer [J. Polit. Econ. 94 (1986) 1002]. In the second part we assess the stability of the ratio for some industrial countries.     

The Distributional Efficiency of Alternative Regulatory Regimes: A Real Option Approach

This paper studies the effects of regulatory constraints on firm's irreversible investment decisions. The RPI–x rule is compared to a profit sharing rule, which increases the x factor in case profits go beyond a given level.When the firm has an option to delay investment, these rules have the same impact on investment choices. As profit sharing has a greater ability to extract rents, however, it is more efficient than the RPI–x rule.     

Estimating asymptotic standard errors and inconsistencies of impact multipliers in nonlinear econometric models

This paper presents and discusses an analytic simulation procedure which can be used to estimate the asymptotic standard errors of impact multipliers in a structural, nonlinear econometric model. A stochastic simulation approach is used to obtain an approximate estimate of the inconsistencies of multipliers when computed from simulated results. A numerical example for the nonlinear Klein-Goldberger model is provided.     

On the stability of the Klein-I model

This paper presents a revision of the numerical results by Theil and Boot (1962) on the asymptotic standard errors of characteristic roots in the Klein-I model.     

A bayesian estimation of reliability based on the extended gamma process as prior over the cumulative hazard function

The Dykstra and Laud's extended gamma process is assumed as prior process over the cumulative hazard function, (t), for a bayesian nonparametric estimation of the reliability functionR(t) from both exact and censored data. Particular cases and interpretative aspects are discussed also in the light of an illustrative example.This research was supported by Ministero della Pubblica Istruzione, grant 40% (Gruppo di ricerca «Modelli probabilistici»).     

Causal Effect of Credit Guarantees for Small- and Medium-Sized Enterprises: Evidence from Italy

We evaluate the effectiveness of a partial credit guarantee program, implemented in a large Italian region, that aimed to improve the access to credit of small and medium enterprises. Using unique microdata from a broad set of firms, we show that the policy increased the long-term loans for beneficiary firms, while the total volume of bank loans was unaffected. Furthermore, targeted firms benefited from a substantial decrease in interest rates. However, there is some evidence that firms are more likely to default as a consequence of the treatment. Conversely, the results do not point to any significant effect on investments.     

Anchoring the yield curve using survey expectations

The dynamic behavior of the term structure of interest rates is difficult to replicate with models, and even models with a proven track record of empirical performance have underperformed since the early 2000s. On the other hand, survey expectations can accurately predict yields, but they are typically not available for all maturities and/or forecast horizons. We show how survey expectations can be exploited to improve the accuracy of yield curve forecasts given by a base model. We do so by employing a flexible exponential tilting method that anchors the model forecasts to the survey expectations, and we develop a test to guide the choice of the anchoring points. The method implicitly incorporates into yield curve forecasts any information that survey participants have access to—such as information about the current state of the economy or forward‐looking information contained in monetary policy announcements—without the need to explicitly model it. We document that anchoring delivers large and significant gains in forecast accuracy relative to the class of models that are widely adopted by financial and policy institutions for forecasting the term structure of interest rates.     

Targeting,bias, and expected impact of complex innovations on developing‐country agriculture: evidence from Malawi

Agronomic analyses of new technologies are often conducted under carefully controlled research station programs or trials managed by self‐selected farmers. Oftentimes, the technologies are then scaled up with minimal evaluation under real‐world conditions. Yet, the interim step between agronomic trials and large‐scale promotion is crucial to generate evidence on the social and economic impact of technologies that is both internally valid and generalizable. The article focuses on a participatory action research program in Malawi designed to test and identify scalable technology options to intensify the smallholder sector and contribute to poverty reduction and food and nutrition security. We examine the socioeconomic characteristics of farmers testing technologies and find evidence of systematic targeting of better‐endowed farmers. After controlling for observable differences using matching and a doubly robust estimator, we find evidence of early positive effects on maize yield and harvest value, although placebo tests suggest possible selection on unobservables. We note that attention should be given to program design and household characterization to better define and improve targeting criteria, technology selection, and external validity.