Combining forecasts: An application to elections

We summarize the literature on the effectiveness of combining forecasts by assessing the conditions under which combining is most valuable. Using data on the six US presidential elections from 1992 to 2012, we report the reductions in error obtained by averaging forecasts within and across four election forecasting methods: poll projections, expert judgment, quantitative models, and the Iowa Electronic Markets. Across the six elections, the resulting combined forecasts were more accurate than any individual component method, on average. The gains in accuracy from combining increased with the numbers of forecasts used, especially when these forecasts were based on different methods and different data, and in situations involving high levels of uncertainty. Such combining yielded error reductions of between 16% and 59%, compared to the average errors of the individual forecasts. This improvement is substantially greater than the 12% reduction in error that had been reported previously for combining forecasts.     

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.     

Comparing face-to-face meetings, nominal groups, Delphi and prediction markets on an estimation task

We conducted laboratory experiments for analyzing the accuracy of three structured approaches (nominal groups, Delphi, and prediction markets) relative to traditional face-to-face meetings (FTF). We recruited 227 participants (11 groups per method) who were required to solve a quantitative judgment task that did not involve distributed knowledge. This task consisted of ten factual questions, which required percentage estimates. While we did not find statistically significant differences in accuracy between the four methods overall, the results differed somewhat at the individual question level. Delphi was as accurate as FTF for eight questions and outperformed FTF for two questions. By comparison, prediction markets did not outperform FTF for any of the questions and were inferior for three questions. The relative performances of nominal groups and FTF were mixed and the differences were small. We also compared the results from the three structured approaches to prior individual estimates and staticized groups. The three structured approaches were more accurate than participants’ prior individual estimates. Delphi was also more accurate than staticized groups. Nominal groups and prediction markets provided little additional value relative to a simple average of the forecasts. In addition, we examined participants’ perceptions of the group and the group process. The participants rated personal communications more favorably than computer-mediated interactions. The group interactions in FTF and nominal groups were perceived as being highly cooperative and effective. Prediction markets were rated least favourably: prediction market participants were least satisfied with the group process and perceived their method as the most difficult.     

DOES BIG GOVERNMENT HURT GROWTH LESS IN HIGH‐TRUST COUNTRIES?

Social trust is linked to both public sector size and to economic growth, thereby helping to explain how some countries combine high taxes with high levels of economic growth. This paper examines if social trust insulates countries against the negative effects of public sector size on growth, documented in several studies. We note that the effect is theoretically ambiguous. In panel data from 66 countries across 40 years, we find no robust evidence of insulation effects: when excluding countries with uncertain trust scores, our results suggest that big government hurts growth also in high‐trust countries, and that the mechanism is by lowering private investments. (JEL H10, O11, P16, Z10)     

WILL GERMAN BANKS EARN THEIR COST OF CAPITAL?

In recent years, the German banking sector has overcome major challenges such as the global financial crisis and the European debt crisis. This paper analyzes a recent development as a particular determinant of the future outlook for the German banking sector. Interest rates are at historically low levels and may remain at these levels for a considerable period of time. Such levels pose a specific challenge to banks which are heavily dependent on interest income, as is the case for most German banks. We consider different interest rate scenarios and analyze the extent to which they cause a further narrowing of the interest rate margin. Our results indicate that a projected decline in this margin will result in no more than 20% of German banks earning a cost of capital of 8% by the end of this decade. However, we show that this decline is alleviated by the fact that German banks can apply a special feature of German accounting standards by using hidden and open reserves. We discuss how these income smoothing tools will provide a cushion that supports short‐ and medium‐term adjustments through a buffer effect. (JEL G21, G28)     

Do gender and age impact the time‐varying Okun's law? Evidence from South Korea

This study investigates the time‐varying Okun's law for different age and gender cohorts in South Korea over the 1980–2014 period. We found that the absolute value of the estimated Okun coefficients for all age cohorts and both genders become larger in a recession than in an expansion. We also found that the youth cohort (15–24 years old) for both genders is more sensitive to a negative economic impact than are older cohorts. These differences imply that when policymakers try to find a way of reducing the unemployment rate, they should consider differences in behaviour among these groups. Furthermore, the policies should be combined with age‐specific policies.     

Does the reliability of institutions affect public good contributions? Evidence from a laboratory experiment

Reliable institutions, i.e., institutions that live up to the norms that agents expect them to keep foster cooperative behavior. We experimentally confirm this hypothesis in a public goods game with a salient norm that cooperation was socially demanded and corruption ought not to occur. When nevertheless corruption attempts came up, groups that were told that ‘the system’ had fended off the attempts made considerably higher contributions to the public good than groups that learned that attempts only did not affect their payoffs or that were not exposed to corruption at all.     

MEASURING RICHNESS AND POVERTY: A MICRO DATA APPLICATION TO EUROPE AND GERMANY

In this paper, we define a new class of richness measures. In contrast to the often used headcount, these new measures are sensitive to changes in rich individuals' incomes and, therefore, allow for a more sophisticated analysis of richness. We demonstrate the application of these new measures in analyzing the development of poverty and richness over time in Germany. Moreover, we compare Germany to many other European countries and investigate the impact of tax reforms on poverty and richness. Using these examples, we show the importance of taking the intensity of changes into account and not only the number of people beyond a given richness line (headcount). We propose to use the new measures in addition to the headcount index for a more comprehensive analysis of richness.     

Macroeconomic Fluctuations and Bank Lending: Evidence for Germany and the Euro Area

Abstract. This paper analyzes the dynamic response of loans to the private sector and of economic activity to aggregate supply, demand and monetary policy shocks in Germany and the euro area based on a standard macroeconomic VAR using sign restrictions to identify the structural shocks. The main results of this analysis are that (i) with the exception of the response to the supply shock in Germany, the response of loans to the three macroeconomic shocks is rather weak and in most cases insignificant; (ii) the 2000–05 credit slowdown and weak economic performance in Germany were primarily driven by adverse supply shocks; and (iii) the marked slowdown in credit creation in Germany over this period actually represents a realignment of the outstanding stock of loans with its deterministic level. In order to assess the role of bank lending in the transmission of macroeconomic shocks, we further perform counterfactual simulations and analyze the dynamic responses of German loan subaggregates in order to test the distributional implications of potential credit market frictions. These exercises do not indicate that credit market frictions play an amplifying role in the transmission of macroeconomic fluctuations.