Wage and Price Inflation in Poland in the Period of Transition: The Cointegration Analysis

The paper focuses on the long run relationships between wages, prices and labour productivity in the Polish economy by applying recent developments in the field of multivariate cointegration analysis. We followed modeling strategy which is suggested by Greenslade et al. (1999) and present all stages of the analysis which leads to the fully economically identified system of equations representing long run relationships. The investigation is based on the quarterly data from 1992.1 to 1999.2 which covers the period of transition of the Polish economy from the centrally planned system towards the market one. Basing on the empirical results we can argue that wages (costs) were one of the main forces driving inflation in Poland during that period. Also labor productivity proved to be stimulated by the increase of the real wages. On the other hand the hypothesis concerning the relationship between wages and unemployment was rejected by the data.     

The optimal portfolio for the two-pillar mandatory pension system: the case of Poland

In the recent decade, there has been observed across the Central and Eastern European states the regulatory trend towards the increase of the non-financial (first) pension pillar size at the expense of the financial (second) pillar. It tends to question the consequences of this shift for the future retirement benefits. Applying the portfolio approach we address this issue by running a series of simulations to find out how to allocate pension contributions between both pillars in an optimal way. Our study contributes to the existing literature as follows. First, we do not perform the assessment of the predetermined regulatory solutions, but we look for an optimal one. Moreover, we allow our optimal rule to be time-varying, if necessary, which would be a true novelty in this research area. Second, we do not base our estimates on historical trends; rather, we apply the long-term economy’s projection to account for the society’s ageing impact, which is a crucially important factor for the solvency of the pension system. Adapting some of the simulation assumptions to fit the Polish case, our results confirm that current regulations underestimate the role of the capital pillar and the optimal allocation between both pillars should be time-varying.     

External cooperation and entrepreneurial orientation in industrial clusters

ABSTRACT

The aim of this paper is to examine the relationship between external cooperation and entrepreneurial orientation (EO). This relationship is explored in cluster environment, wherein entrepreneurial organizations compete and cooperate simultaneously to pursue opportunities. The following hypothesis is tested: External cooperation is positively correlated with entrepreneurial orientation. The hypothesis is tested with a correlation analysis on a sample of 77 small-sized enterprises operating in the Malopolska region in Poland, wherein several clusters are active. Additionally, the regression analysis is conducted to examine the associations between inter-organizational cooperation and EO dimensions. The findings confirm that external cooperation is positively correlated with EO. This observation is confronted with a pro-competitive approach that is a constitutional element of the entrepreneurship concept. Moreover, the findings show that the correlation between external cooperation and a firm’s performance is stronger than between some other EO dimensions and performance. Additionally, the findings show the important role of relationships between organizations and their clients. In the paper, several remarks for development of the theory are discussed, including the need for incorporating inter-organizational cooperation into a set of entrepreneurial traits and reflecting it in entrepreneurial orientation scales. The findings confirm the importance of that direction of theory development that focuses on inter-organizational collaboration in the context of entrepreneurship.     

The role of banks in CESEE countries: exploring non-standard determinants of economic growth

This paper explores the finance–growth nexus in 14 countries from Central, Eastern and South-eastern Europe (CESEE) over the 1995–2015 period. It investigates whether including two ‘non-standard’ variables, i.e. a credit cycle dummy and foreign bank relevance, deepens our understanding of the role of a typical financial determinant of economic growth, i.e. bank credit. We find evidence of a negative impact of bank credit on economic growth and the significance of cyclical fluctuations of bank credit. In contrast, a higher market share of loans granted by foreign-owned banks in a cyclical upswing and stock market capitalisation are found to have a proactive effect on growth.     

Total factor productivity differences: Appropriate technology vs. efficiency

Recent development and growth accounting studies have established that total factor productivity is an important source of cross-country differences in income levels and growth rates. This paper makes two contributions. First, it examines the sensitivity of the development accounting results to the Cobb-Douglas specification of the production function. Second, within the Cobb-Douglas framework, it weighs evidence of the two alternative explanations of total factor productivity differences: the inefficiency view and the appropriate technology view. To accomplish these tasks, the world production frontier is estimated using a nonparametric deterministic approach known as data envelopment analysis. I find that the fraction of income differences explained by physical and human capital increases from 32% to 55% when departing from the Cobb-Douglas assumption. There is also evidence consistent with the appropriate technology view; countries with an inadequate mix of inputs are unable to access the most productive technologies. Moreover, the world technology frontier appears to be shifting out faster at input combinations close to that of the R&D leader. However, inefficiency appears to be the main explanation for low incomes throughout the world; it explains 43% of output variation in 1995, and its importance has increased over time.     

On the hellwig method of feasible portfolio construction

The work feasible portfolio is built into the work, that is, the k-dimensional Q column vector with components q_i where q_i 0 for i=1,...,k and q₁+...+q_k=1. We define i=1,...,k in the following way:

Dynamics of price level changes in the Visegrad group: comparative study

Quality & Quantity - In Poland, as in many other countries, to measure inflation, expressed both by the CPI and HICP, the Laspeyres price index with weights from the base period is used. Thus...     

The Oaxaca–Blinder Unexplained Component as a Treatment Effects Estimator

In this paper I use the National Supported Work (NSW) data to examine the finite‐sample performance of the Oaxaca–Blinder unexplained component as an estimator of the population average treatment effect on the treated (PATT). Precisely, I follow sample and variable selections from Dehejia and Wahba (1999), and conclude that Oaxaca–Blinder performs better than any of the estimators in this influential paper, provided that overlap is imposed. As a robustness check, I consider alternative sample (Smith and Todd, 2005) and variable (Abadie and Imbens, 2011) selections, and present a simulation study which is also based on the NSW data.