Why did socialist economies fail? The role of factor inputs reconsidered

This article presents new estimates for investment and new growth accounts for three socialist economies between 1950 and 1989. Government statistics reported distorted measures for both the rate and the trajectory of productivity growth in Czechoslovakia, Hungary, and Poland. Researchers have benefited from revised output data, but have continued to use official statistics on capital input, or estimated capital stock from official investment data. Investment levels and rates of capital accumulation were much lower than officially claimed and over‐reporting worsened over time. A setback in factor accumulation—both investment in equipment and labour input—contributed very significantly to the socialist growth failure of the 1980s.     

Perception evaluation kit: a case study with materials and learning styles

International Journal of Technology and Design Education - Materials are elements that configure our built environment and are key components in design and engineering education. This research aims...     

The role of stochastic volatility and return jumps: reproducing volatility and higher moments in the KOSPI 200 returns dynamics

This paper investigates the role of stochastic volatility and return jumps in reproducing the volatility dynamics and the shape characteristics of the Korean Composite Stock Price Index (KOSPI) 200 returns distribution. Using efficient method of moments and reprojection analysis, we find that stochastic volatility models, both with and without return jumps, capture return dynamics surprisingly well. The stochastic volatility model without return jumps, however, cannot fully reproduce the conditional kurtosis implied by the data. Return jumps successfully complement this gap. We also find that return jumps are essential in capturing the volatility smirk effects observed in short-term options.

The evaluation of a surveillance system for violent and non-intentional injury mortality in Colombian cities

Since 2002, the Institute for Peace Promotion and Injury/Violence Prevention (CISALVA) at the Universidad del Valle, Cali, Colombia and the Colombia Program at Georgetown University have developed and implemented 21 epidemiologically based municipal crime observatories in intermediate-sized municipalities in Colombia. These crime observatories serve as monitoring centres that provide low cost, geo-referenced methods of data collection and analysis, which allow cities to develop more responsive policies and prevention programmes and enhance governance. This article focuses on the methodology employed and lessons learned that may be applicable to similar settings. Worth noting within the results was a significant decrease in homicides after the first year of the programme. Whether or not such results could be attributed to the method or to the nature of the interventions and policy initiatives stemming from it remains open to conjecture.     

Editors’ note

Portuguese Economic Journal -     

The factor content of regional bilateral trade: The role of technology and demand

The Heckscher–Ohlin–Vanek (HOV) model in its strict form has been strongly rejected by the data. Relaxing some assumptions of the standard HOV model is key to find improvements in its performance. We apply the Davis and Weinstein (2001) methodology to analyse the validity of the HOV model using regions rather than countries. Surprisingly, our results using data for 17 Spanish regions are similar to theirs with international data for OECD countries. Accounting for technological differences improves the predictive capacity of the factor proportions model and including trade costs and geography reduces significantly the missing trade problem. However, relaxing the assumption of factor price equalisation does not improve the performance of the HOV model in a regional setting.     

The case for multi-unit single-run descending-price auctions

We show that a multiple-unit descending-price auction in which the clock is not reset after each sale may be faster and yield more stable prices than an efficient alternative, thus providing sellers a rationale for using it in practice.     

Investigating regional house price convergence in the United States: Evidence from a pair-wise approach

In this paper we examine long-run house price convergence across US states using a novel econometric approach advocated by Pesaran (2007) and Pesaran et al. (2009). Our empirical modelling strategy employs a probabilistic test statistic for convergence based on the percentage of unit root rejections among all state house price differentials. Using a sieve bootstrap procedure, we construct confidence intervals and find evidence in favour of convergence. We also conclude that speed of adjustment towards long-run equilibrium is inversely related to distance.