Tax shocks with high and low uncertainty

We assess whether the effects of fiscal policy depend on the extent of uncertainty in the economy. Focusing on tax shocks, identified by the narrative series by Romer and Romer (American Economic Review, 2010, 100(3), 763‐801), and various measures of uncertainty, we use a Threshold VAR model to allow for dependence of the effects of the tax shocks on both the level of uncertainty and the sign of the shock. We find that the economy responds more positively to tax cuts during periods of low uncertainty, while, in response to tax increases, the response of main aggregates is more negative in more uncertain times. We argue that controlling for monetary policy in fiscal VARs is important to avoid omitted variable bias. We interpret our empirical evidence in light of existing theoretical contributions.     

Organizational structure and earnings quality of private and public firms

Review of Accounting Studies - We examine how heterogeneity in organizational structure affects private firm earnings quality in the European Union. Organizational structure refers to whether the...     

Factor MIDAS for Nowcasting and Forecasting with Ragged‐Edge Data: A Model Comparison for German GDP*

In this article, we merge two strands from the recent econometric literature. First, factor models based on large sets of macroeconomic variables for forecasting, which have generally proven useful for forecasting. However, there is some disagreement in the literature as to the appropriate method. Second, forecast methods based on mixed‐frequency data sampling (MIDAS). This regression technique can take into account unbalanced datasets that emerge from publication lags of high‐ and low‐frequency indicators, a problem practitioner have to cope with in real time. In this article, we introduce Factor MIDAS, an approach for nowcasting and forecasting low‐frequency variables like gross domestic product (GDP) exploiting information in a large set of higher‐frequency indicators. We consider three alternative MIDAS approaches (basic, smoothed and unrestricted) that provide harmonized projection methods that allow for a comparison of the alternative factor estimation methods with respect to nowcasting and forecasting. Common to all the factor estimation methods employed here is that they can handle unbalanced datasets, as typically faced in real‐time forecast applications owing to publication lags. In particular, we focus on variants of static and dynamic principal components as well as Kalman filter estimates in state‐space factor models. As an empirical illustration of the technique, we use a large monthly dataset of the German economy to nowcast and forecast quarterly GDP growth. We find that the factor estimation methods do not differ substantially, whereas the most parsimonious MIDAS projection performs best overall. Finally, quarterly models are in general outperformed by the Factor MIDAS models, which confirms the usefulness of the mixed‐frequency techniques that can exploit timely information from business cycle indicators.     

The bargaining set of a large game

We study the equivalence between the Mas-Colell bargaining set and the core in the general context of TU games with a measurable space of players. In the first part of the paper, we study the problem without imposing any restriction on the class of games we consider. In the second part, we first introduce a new class of exact games, which we call thin games. For these games, we show not only that the Mas-Colell bargaining set is equal to the core, but also that it is the unique stable set in the sense of von Neumann and Morgenstern. We then study the relation between thin games, exact non-atomic market games and non-atomic convex games. Finally, by further developing “thinness” related ideas, we prove new equivalence results for a class of non-exact market games as well as a class of non-exact, non-market games.     

A Note on the (Un)Pleasant Arithmetic of Fiscal Policy: The Case of Italian Public Debt

Using the simple arithmetic of government budget constraint, we perform an illustrative analysis on the Italian case, investigating the consequences on the main public finance aggregates of the adoption of a fiscal policy rule responding to past real debt/GDP ratio. Such a rule, firmly grounded in the economic analysis, would allow the reduction of Italy's outstanding stock of debt without requiring the strict adherence to the 3 per cent criterion for deficit/GDP ratio, as prescribed by SGP (Stability and Growth Pact). We perform a forecasting exercise under five alternative scenarios and analyse the details of a structural debt reduction strategy with alternative yearly step.     

Sectoral Survey‐based Confidence Indicators for Europe*

We analyse a novel dataset of Business and Consumer Surveys, using dynamic factor techniques, to produce composite coincident indices (CCIs) at the sectoral level for the European countries and for Europe. Surveys are timely available, not subject to revision, and fully comparable across countries. Moreover, the substantial discrepancies in activity at the sectoral level justify the interest in sectoral disaggregation. Compared with the confidence indicators produced by the European Commission we show that factor‐based CCIs, using survey answers at a more disaggregate level, produce higher correlation with the reference series for the majority of sectors and countries.     

Environmentally oriented innovative strategies and firm performance in services. Micro‐evidence from Italy

This paper aims at analysing the impact of environmentally oriented innovative strategies on firms’ economic performance in terms of employment, turnover and labour productivity growth. We exploit a unique dataset of 773 Italian service firms with 20 or more employees, based on 1993–1995 Community Innovation Survey (CIS) II data on innovation strategies and 1995–1998 System of the Enterprise Account (SEA). Using a Gibrat‐like empirical model, our findings show a negative link between environmental motivations and growth in employment and turnover in the short term, which then associates to a not significant or even negative effect on labour productivity growth, a result which is explainable by various factors: non‐mature markets; early movers that need more time to grasp the benefits of innovative actions; weaknesses of some service branches. The effect on employment is in part compatible with the existing evidence and may be based on efficiency improvements (dematerialisation processes), which also impact on efficiency by reducing workforce numbers. The effect on turnover of environmental innovation strategy is negative, implying either a short‐medium effect, possibly balanced in the long run by net benefits in terms of higher added value, or a real negative impact, which may be contingent on the period of observation, when environmental strategies where not at the heart of strategic management policies. Neither Porter‐like effects nor virtuous circles among environmentally strategies and performance seem to be present, at least in the short run and for services firms, calling for the necessity of further analyses on medium‐ long‐term effects and performances of specific service branches. Though effects on performances could turn out positive in the long run when mature green markets and investments provide their benefits, our evidence highlights that services could still find hard times in tackling the well‐known low productivity ‘disease’ even in the environmental realm.