Encouraging employees to co-operate: the effects of sponsored training and promotion practices on employees' willingness to work overtime

The ‘mutual-investment’ model argues that when employers invest more in the social exchange relationship between them and their employees, their employees will show more effort. In this paper we relate the ‘mutual-investment’ model to training and promotion (possibilities) and examine if these kinds of career-enhancing measures influence the willingness of employees within organizations to work overtime. To test this hypothesis, a vignette experiment was conducted in five organizations (N = 388; 1,531 vignettes). Multilevel analyses show that employees are more willing to work overtime when their employer has provided for training, when the employee recently was promoted, when the supervisor was supportive in the past and when co-workers approve of working overtime and behave similarly. But we did not find that future promotion chances affect willingness to work overtime.     

Contract Renegotiation with Time-Varying Valuations

The paper characterizes optimal renegotiation-proof rental contracts in a model with adverse selection and hidden information. It generalizes the work of Hart and Tirole (1988) to the case of time-varying valuations. The paper considers a durable-goods monopolist who serves a nonanonymous buyer with time-varying valuation for the seller's good. The buyer's valuation has a persistent and a transient component; both are private information. The paper shows that for some range of prior beliefs the seller strictly prefers leasing to selling.     

Diagnostic Tests of Cross‐section Independence for Limited Dependent Variable Panel Data Models*

This article considers the problem of testing for cross‐section independence in limited dependent variable panel data models. It derives a Lagrangian multiplier (LM) test and shows that in terms of generalized residuals of Gourieroux et al. (1987) it reduces to the LM test of Breusch and Pagan (1980) . Because of the tendency of the LM test to over‐reject in panels with large N (cross‐section dimension), we also consider the application of the cross‐section dependence test (CD) proposed by Pesaran (2004) . In Monte Carlo experiments it emerges that for most combinations of N and T the CD test is correctly sized, whereas the validity of the LM test requires T (time series dimension) to be quite large relative to N. We illustrate the cross‐sectional independence tests with an application to a probit panel data model of roll‐call votes in the US Congress and find that the votes display a significant degree of cross‐section dependence.     

Tempering effects of (dependent) background risks: A mean-variance analysis of portfolio selection

In a mean variance framework, we analyse risk taking in the presence of a (possibly) dependent background risk, exemplified in a linear portfolio selection problem. We first characterise the comparative statics of changes in the distribution and dependence structure of the background risk. For unfair, undesirable and loss-aggravating increases in background risks (both dependent and independent), we then present necessary and sufficient restrictions on preferences such that greater background uncertainty leads to reduced risk taking. With mean-variance preferences, these restrictions boil down to simple conditions on the marginal rate of substitution between risk and return. They can be easily related to familiar notions such as risk vulnerability, properness or standardness.     

A critical review of empirical research on open innovation adoption

The open innovation approach has been one of the most discussed topics in innovation management literature in the 2000s. Over the past few years, academic publications on open innovation have increased substantially. This paper attempts to summarize and review the state-of-the-art of empirical open innovation research and develop new opportunities for open innovation research in the future. In order to make the papers more comparable, a clear focus on large-scale quantitative-oriented studies was set. From a total of 282 documents, 30 studies were analyzed in detail along four key dimensions: Firstly, different methods of measuring open innovation adoption are compared. Then, the level of open innovation adoption is analyzed on a general basis. Thirdly, the level of adoption is compared at the level of the open innovation mode (inbound and outbound). Finally, the study results regarding the variables that influence open innovation adoption are compared and conclusions for future research directions are drawn.     

Capital flows and the boom–bust cycle: The case of Estonia

During 2000–2007, Estonia was among the fastest growing emerging market economies, but in late-2008 entered a deep recession. This paper examines shocks, institutions, and policies that have made Estonia's boom–bust cycle so severe. It finds that an open capital account, the prospect for EU entry, and the currency board facilitated massive capital inflows, which led to credit and real estate booms. In late-2008 a domestic slowdown was greatly amplified by the global financial and economic crisis. To resume sustainable growth, the country will need to regain competitiveness and rebalance resources to exports. Estonia's experience underscores the importance for other emerging market economies to retain some flexibility in their macroeconomic frameworks and approach capital account liberalization cautiously.     

Economies in Transition: How Important Is Trade Openness for Growth?*

We investigate the effect of trade openness on economic growth in transition countries using a transparent statistical methodology that leads to data‐driven case studies. In particular, we employ synthetic control methods in a panel of transition economies and compare GDP growth in treated (that is, open) countries with growth in a convex combination of similar but untreated (that is, closed) countries. We find that trade liberalization tends to have a positive effect on the pattern of real GDP per capita. One of our most robust results shows that making the transition without opening up to trade considerably hampers growth.     

GOVERNMENT SIZE AND GROWTH: A SURVEY AND INTERPRETATION OF THE EVIDENCE

Abstract The literature on the relationship between the size of government and economic growth is full of seemingly contradictory findings. This conflict is largely explained by variations in definitions and the countries studied. An alternative approach – of limiting the focus to studies of the relationship in rich countries, measuring government size as total taxes or total expenditure relative to GDP and relying on panel data estimations with variation over time – reveals a more consistent picture. The most recent studies find a significant negative correlation: an increase in government size by 10 percentage points is associated with a 0.5% to 1% lower annual growth rate. We discuss efforts to make sense of this correlation, and note several pitfalls involved in giving it a causal interpretation. Against this background, we discuss two explanations of why several countries with high taxes seem able to enjoy above average growth. One hypothesis is that countries with higher social trust levels are able to develop larger government sectors without harming the economy. Another explanation is that countries with large governments compensate for high taxes and spending by implementing market‐friendly policies in other areas. Both explanations are supported by ongoing research.