Financialisation and Real Investment in the European Union: Beneficial or Prejudicial Effects?

This article presents an empirical analysis of the relationship between financialisation and real investment for non-financial corporations using panel data composed of 27 European Union countries over 19 years (1995 to 2013). On the one hand, financialisation leads to a rise in financial investments, diverting funds from real investments (‘crowding out’ effect); on the other, pressures from shareholders to intensify financial payments restrict the funds available for new real investments. We estimate an aggregate investment equation with the traditional variables (lagged investment, profitability, debt, cost of capital, corporate savings and output growth) and two further measures of financialisation (financial receipts and financial payments). The findings demonstrate that financialisation has damaged real investment in European Union countries, mainly through the channel of financial payments, either by interest or dividend payments. It is also found that the prejudicial effects of financialisation on investment were more severe in the pre-2007 crisis period. It is concluded that financialisation contributed to a slowdown of real investment by 1 to 8 per cent in the full and pre-crisis period, respectively. During the pre-crisis period, financialisation was the main driver of the slowdown of investment in the European Union.     

Estimation of the mean of the selected population under asymmetric loss function

This paper is concerned with the comparison of seven estimators of the mean of the selected population from two normal populations with unknown means and common known variance under an asymmetric loss namely the LINEX loss function. The proposed estimators are invariant under location transformation. The bias and risks of the seven estimators are computed and compared. The conclusion recommend the use of δ_P (σ) which is simple to use and it is minimax. Received: January 1999     

Post-War Productivity Patterns in U.S. Agriculture: Influences of Aggregation Procedures in a State-Level Analysis

Annual data for forty-eight states are used to account for changes in the composition of input and output aggregates over space and time, and thereby to obtain new evidence on changes in inputs, outputs, and productivity in U.S. agriculture. The measures change significantly when we use state-specific rather than national prices and when we allow for changes in the composition of the aggregates, especially of labor and capital inputs. We compare our estimates and those reported by Ball et al. ( American Journal of Agricultural Economics 81(1999):164–79). The national estimates are similar but substantial differences are found in state-level productivity growth.     

PEDAKSI: Methodology for Collecting Data about Survey Non-Respondents

The effects of unit non-response on survey errors are of great concern to researchers.However, direct assessment of non-response bias in survey estimates is rarely possible.Attempts are often made to adjust for the effects of non-response by weighting, but thisusually relies on the use of frame data or external population data, which are at bestmodestly correlated with the survey variables. This paper reports the development ofa method to collect limited survey data from non-respondents to personal interviewsurveys and a large-scale field test of the method on the British Crime Survey (BCS).The method is shown to be acceptable and low cost, to provide valid data, and to haveno detrimental effect on the main survey. The use of the resultant data to estimatenon-response bias is illustrated and some substantive conclusions are drawn for the BCS.