On preferences for being self-employed

The concept of procedural utility assumes that agents not only receive utility from outcomes but also attach an independent value to the procedures that lead to these outcomes. This paper analyzes whether the preferences that underlie procedural utility are homogeneous using the case of independence at the workplace. I exploit the event of German reunification to assign preferences for independence to respondents without using data on occupational choice or directly reported procedural preferences. I find that the self-employed report higher job satisfaction than the employed, even after controlling for income and hours worked. However, there is a significant amount of heterogeneity in this effect: while “independent types” experience a large increase in job satisfaction from being self-employed, the most “hierarchical types” could even experience a decrease.     

Big push or big failure? On the effectiveness of industrialization policies for economic development

The role of the government in industrialization is heavily debated. Some claim that extensive government involvement is key to initiate a sustainable development process, others see the government as an obstacle to it, pointing to the importance of government failure. We formulate a model, which explains why even a highly inefficient industrial policy can successfully promote big-push development. Moreover, we show that extensive government intervention is more likely to be successful when the initial level of development is low.     

SIR WALDRON SMITHERS AND THE LONG WALK TO FINCHLEY

The television drama ‘Margaret Thatcher: The Long Walk to Finchley’ has Sir Waldron Smithers strongly objecting to Thatcher's selection as a Conservative candidate prior to the 1950 General Election. It is more likely that Smithers would have found her a kindred ideological spirit: both shared an anti‐socialist commitment and admiration for Hayek's ‘The Road to Serfdom’.     

Out of Welfare: Functioning of Income Support in Torino

This paper explores the opportunities provided by a file of longitudinal data regarding income support benefits for able bodied poor in order to understand the functioning of the local social assistance system in Torino. The features of this system, its selective-categorized character and the differences from universalistic systems are analyzed. In this framework, the duration of the periods users receive benefits has been studied by means of event history analysis. The probability of exit from welfare is related to socio-demographic characteristics of recipients. In particular we observe a lower propensity to exit for female headed households and households with children. The probability of exit appears to be affected also by labour market conditions, being higher when these are more favourable. The exit rate does not decrease as time elapsed in welfare moves on. We observe the existence of different styles of assistance among the different social services within the city. Difficulties related to the interpretation of the empirical results, given the selective-categorized features of the social assistance system, are emphasized. Finally, we discuss some theoretical issues about evaluation of income support policies.All the sections of this paper are the result of the cooperation of the authors. Nicola Negri has coordinated the various steps of the work and has written Section 5 with Contini. Nicoletta Bosco has mainly worked with Nicola Negri to prepare the data archive and has written Sections 2 and 3. Dalit Contini has discussed with Negri and Bosco the model of empirical analysis and has implemented it; she has written Sections 4 and 6. All authors share Section 1 and 7.     

Is a Conservative Central Banker a (Perfect) Substitute for Wage Coordination?

In a monetary union, macroeconomic policies are strongly associated with externalities that imply the need for coordination. However, if coordination is not complete, it might be unable to cope with the externalities. This paper investigates different solutions for internalizing policy externalities. In particular, we compare wage coordination to the conservative central banker solution, which the recent literature has found able to impose wage moderation on labor unions. We also discuss some issues related to labor flexibility reforms as a solution for the unemployment problem.     

Maximum likelihood estimation based on the Laplace approximation for p2 network regression models

The class of p₂ models is suitable for modeling binary relation data in social network analysis. A p₂ model is essentially a regression model for bivariate binary responses, featuring within‐dyad dependence and correlated crossed random effects to represent heterogeneity of actors. Despite some desirable properties, these models are used less frequently in empirical applications than other models for network data. A possible reason for this is due to the limited possibilities for this model for accounting for (and explicitly modeling) structural dependence beyond the dyad as can be done in exponential random graph models. Another motive, however, may lie in the computational difficulties existing to estimate such models by means of the methods proposed in the literature, such as joint maximization methods and Bayesian methods. The aim of this article is to investigate maximum likelihood estimation based on the Laplace approximation approach, that can be refined by importance sampling. Practical implementation of such methods can be performed in an efficient manner, and the article provides details on a software implementation using R . Numerical examples and simulation studies illustrate the methodology.     

Die Akzeptanz von Versicherungsdienstleistungen im Internet

There is not much known about the factors that determine online demand for insurances. This current study is a first attempt to locate the variables that affect the acceptance of online-purchase of an insurance policy from existing research and empirically verify them. Results show that good terms coupled with online purchase-experience is the most important cause for acceptance. Additionally, convenience (i.e., easy access to information through internet sites of insurance companies and easy and fast contracting), perceived barriers when transferring from a traditional insurance contract to an ?online contract“, information quality of the internet offer, perceived personal risk as well as perceived transaction risk are significant factors driving online demand for insurances.     

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.