Property and Industrial Organization in Communist and Capitalist Nations

Endogenous growth theorists argue that certain equity-enhancing social institutions enhance growth. Despite the centrality of inequality in these approaches, there is no sense in which economic actors exercise power or collective action to create and maintain social norms and rules that are personally advantageous but socially costly. This despite the work of neoclassical economists on rent-seeking, which posits that efforts to claim unearned revenues can pose significant costs for growth. The question of the impact of gender equity on economic growth is an instructive context for understanding these contradictions. Even though gender practices are inherently about the exercise of power, that they have become a feature of the neoclassical growth literature alights on obvious tensions in the neoclassical institutionalist paradigm. By incorporating insights from both the rent-seeking and feminist economics literatures, we will present analternative explanation of why gender hierarchies persist despite their obvious economic costs.     

Tracing the Pathways from Research to Innovation: Evidence from Case Studies

The complex process through which agricultural research stimulates innovation and achieves policy goals has commonly been treated as a ‘black box’ in the scientific literature. Statistical correlations between measured expenditure and impacts, where satisfactorily established, have mostly led to details of the research and innovation system being ignored. However, identifying and exploring causal chains of impact propagation can strengthen agricultural innovation. IMPRESA investigated impact mechanisms for research‐based innovations in six case studies using a Participatory Impact Pathway Assessment approach. Several suggestions result for improving performance and public support for agricultural research. Planning for impact is needed at the design phase of research so that expected advances in technology and their consequences can be explored. At that stage and throughout the research process, soft social skills are required to promote uptake. Greater impact can be achieved through the close involvement of key public and private sector stakeholders, using stakeholder mapping as a supporting tool. There is a strong argument for the close involvement of relevant social scientists and professional facilitators from the design phase of research through to its ultimate impacts. Funding frameworks and the specification of calls for tenders would function more effectively by giving more flexibility for stakeholder engagement.     

Buchbesprechungen

Ohne Zusammenfassung     

The Impact of EMU on Inflation Expectations

This paper analyses the impact of the monetary regime change from the Bundesbank to the ECB on inflation expectations. In the theoretical part, the Barro-Gordon model is used to derive the potential effect of a new central bank on inflation and inflation expectations. The econometric investigation is based on a flexible specification of expectation formation which allows both for rational and adaptive elements. The results indicate that the monetary regime change did not have a strong and lasting impact on the formation of inflation expectations and that the credibility of both central banks is not perceived to differ significantly anymore. JEL Classification Numbers: E 58, E 31     

Robust Small Area Estimation under Spatial Non‐stationarity

The effective use of spatial information in a regression‐based approach to small area estimation is an important practical issue. One approach to account for geographic information is by extending the linear mixed model to allow for spatially correlated random area effects. An alternative is to include the spatial information by a non‐parametric mixed models. Another option is geographic weighted regression where the model coefficients vary spatially across the geography of interest. Although these approaches are useful for estimating small area means efficiently under strict parametric assumptions, they can be sensitive to outliers. In this paper, we propose robust extensions of the geographically weighted empirical best linear unbiased predictor. In particular, we introduce robust projective and predictive estimators under spatial non‐stationarity. Mean squared error estimation is performed by two analytic approaches that account for the spatial structure in the data. Model‐based simulations show that the methodology proposed often leads to more efficient estimators. Furthermore, the analytic mean squared error estimators introduced have appealing properties in terms of stability and bias. Finally, we demonstrate in the application that the new methodology is a good choice for producing estimates for average rent prices of apartments in urban planning areas in Berlin.     

Measuring the size of the shadow economy in 30 provinces of China over 1995–2016: The MIMIC approach

Applying the multiple indicators and multiple causes (MIMIC) approach, the present paper measured the size of the shadow economies in China's provinces over 1995–2016. The results show that the average size of the shadow economy in 30 provinces of China increased from 13.55% in 1995 to 14.39% in 2009, and then decreased to 12.30% in 2016. There are obvious variations in the size of the shadow economies in different districts of China. The average size of the shadow economy is lowest in provinces in the eastern district and highest in the western district. In addition, the causes and consequences of the shadow economies in China's provinces have also been analysed using the MIMIC approach, and the results show that tax burden, complexity of the tax system, intensity of regulation, unemployment, employment in the agricultural sector and economic openness have significant positive effects on China's shadow economy, while the ratio of direct taxes to indirect taxes, fiscal autonomy and income levels have significant negative effects on China's shadow economy. Using the growth rate of energy consumption as the benchmark indicator, the MIMIC analysis shows that the shadow economy has significant positive effects on the development of the official economy and income inequality while having a significant negative effect on the labour participation rate.     

PUBLIC GOODS AND THE DISSOLUTION OF STATES

We present a simple model of the dissolution of states. We combine elements of the literature on the break‐up and integration of states based on models in the fiscal federalism tradition, with elements of the literature that explains the determination of a state's political institutions as a means to credibly promise redistributions in the face of costly, perhaps violent, redistributive conflict. We are able to characterize when the equilibrium involves the dissolution of a country, and when it involves continued unity. We are also able to explore some aspects of the linkages between political institutions and the determination of national boundaries.     

THE ECONOMICS OF COUNTERTERRORISM: A SURVEY

We provide a review of theoretical and empirical contributions on the economic analysis of terrorism and counterterrorism. We argue that simple rational‐choice models of terrorist behavior – in the form of cost‐benefit models – already provide a well‐founded theoretical framework for the study of terrorism and counterterrorism. We also hint at their limitations which relate to the failure of accounting for the dynamics between terrorism and counterterrorism that may produce unintended second‐order effects as well as for the costs associated with counterterrorism and its international dimension. We reevaluate previously proposed counterterrorism strategies accordingly. Finally, in the light of our findings, we discuss interesting areas of future research.