Are heterogeneous FOMC forecasts consistent with the Fed’s monetary policy?

Yes, they are! We find that although there is a surprisingly high dispersion of individual forecasts and some dissent on the Federal Funds target, the FOMC’s individual behavior is well described by a Taylor-type rule.     

Do disaggregated CPI data improve the accuracy of inflation forecasts?

In this paper, we evaluate the role of using consumer price index (CPI) disaggregated data to improve the accuracy of inflation forecasts. Our forecasting approach is based on extracting the factors from the subcomponents of the CPI at the highest degree of disaggregation. The data set contains 54 macroeconomic series and 243 CPI subcomponents from 1992 to 2009 for Mexico. We find that the factor models that include disaggregated data outperform the benchmark autoregressive model and the factor models containing alternative groups of macroeconomic variables. We provide evidence that using disaggregated price data improves forecasting performance. The forecasts of the factor models that extract the information from the CPI disaggregated data are as accurate as the forecasts from the survey of experts.     

Do we ecologically model what we economically value?

For the period 1991-2005 inclusive we categorise peer-reviewed journal output depending on whether it pertains to case-studies in a) cropland or b) aggregate semi-natural and natural terrestrial (ASNNT) ecosystems for three applications in ecological modelling: 1) modelling of terrestrial carbon and nitrogen fluxes; 2) modelling of terrestrial root systems; 3) geographic information systems. Next we compare these research output magnitudes for case-studies in cropland and ASNNT ecosystems with estimates of the total economic value (TEV) of either system.For applications 1) and 3) the magnitude of research output for ASNNT ecosystems between 1991-2005 is greater than for cropland and research into the former is increasing at a faster rate over time compared to the latter. Given that the TEV of ASNNT ecosystems is 82 times greater than the TEV of cropland we deem these trends in research output as desirable under the assumption that value and research should be interdependent. However for application 2), although research into ASNNT ecosystems is increasing at a faster rate compared to cropland, total research output between 1991-2005 is greater for cropland. We conclude that increased research output which focuses on ASNNT ecosystems in this particular application should be a priority, given the high TEV of ASNNT ecosystems relative to cropland.     

To value or not to value? That is not the question

Should we reject money when we value nature? Like most environmentalists, ecological economists are increasingly divided on this question. Synthesizing political ecology with ecological economics, we argue that this way of framing the question is limited. We propose a reformulation of the question into “when and how to value with money?” and “under what conditions?” We recommend four criteria for a sound choice: environmental improvement; distributive justice and equality; maintenance of plural value-articulating institutions; and, confronting commodification under neo-liberalism. We call for due attention to the socio-political context within which a valuation is placed and the political goals it serves. The relevance of this framework is demonstrated by applying it to three practical cases: pollution damages, water pricing and payments for ecosystem services.     

What can we learn from revisions to the Greenbook forecasts?

Although there have been many evaluations of the Federal Reserve’s Greenbook forecasts, we analyze them in a different dimension. We examine the revisions of these forecasts in the context of fixed event predictions to determine how new information is incorporated in the forecasting process. This analysis permits us to determine if there was an inefficient use of information in the sense that the forecast revision has predictive power for the forecast error. Research on forecast smoothing suggests that we might find a positive relationship between the forecast error and the forecast revision. Although we do find for some variables and horizons the Fed’s forecast errors are predictable from its forecast revisions, there is no evidence of forecast smoothing. Instead the revisions sometimes have a negative relationship with the forecast error, suggesting in these cases that the Fed may be over-responsive to new information.     

Do Federal Reserve Bank presidents’ interest rate votes in the FOMC follow an electoral cycle?

We find that Federal Reserve Bank presidents’ regional bias in their dissenting interest rate votes in the Federal Open Market Committee follows an electoral cycle. Presidents put more weight on their district’s economic environment during the year prior to their (re-)election relative to nonelection years.     

Do equity index industry groups improve forecasts of inflation and production? A US analysis

This study develops a new financial market indicator, which may be a useful addition to analysing real activity in the US. By taking the ratio of the price return of equity industry groups of the S&P 500 over a benchmark industry group, in this case taken to be the Utilities industry group, an indicator is created which represents the price return performance specific to each individual industry. We then perform recursive pseudo out-of-sample bivariate forecasts of future changes in the Industrial Production Index (IPI) and the Consumer Price Index (CPI) at 3-month, 6-month and 12-month horizons using each of the indicators and compare results against an AR forecast. The results of the bivariate forecasts using a number of the indicators produce better forecasts of changes in the IPI and are also significant for causality, both for the full sample period and when tested recursively. Bivariate forecasts of changes to the CPI, however, do not improve upon the AR forecasts.     

Do financial distress and liquidity crises affect value and size premiums?

This study investigates the impact of liquidity crises on the relationship between stock (value and size) premiums and default risk in the US market. It first examines whether financial distress can explain value and size premiums, and then, subsequently, aims to determine whether liquidity crises increase the risk of value and size premium investment strategies. The study employs a time-varying approach and a sample of US stock returns for the period between January 1982 and March 2011, a period which includes the current liquidity crisis, so as to examine the relationship between default risk, liquidity crises and value and size premiums. The findings indicate that the default premium has explanatory power for value and size premiums, which affect firms with different characteristics. We also find that liquidity crises may actually increase the risks related to size and value premium strategies.     

Do price-tags influence consumers’ willingness to pay? On the external validity of using auctions for measuring value

This paper considers the external validity of the growing corpus of literature that reports the use of laboratory auctions to reveal consumers’ willingness to pay for consumer goods, when the concerned goods are sold in retail stores through posted price procedures. The quality of the parallel between the field and the lab crucially depends on whether being informed of the actual field price influences a consumer’s willingness to pay for a good or not. We show that the elasticity of the WTP revision according to the field price estimation error is significant, positive, and can be roughly approximate to one quarter of the error. We then discuss the normative implications of these results for future experiments aimed at eliciting private valuations through auctions.     

Do internal references lead to wage rigidity?

This paper analyzes three prominent models of internal references and their impact on wage rigidity (Danthine and Kurmann in Scand J Econ 109(4):857–881, 2007; J Monet Econ 57(7):837–850, 2010; Koskela and Schöb in J Econ 96:79–86, 2009). With one exception, these studies find that internal references, nested in reciprocal worker preferences, unambiguously increase wage rigidity. In contrast to that literature, the present study provides analytical proofs, calibration results as well as impulse response functions which show that the effect of internal references on wage rigidity is in fact ambiguous. Several model extensions are discussed and robustness checks conducted. The intuition for this result is similar in all models: as internal and external references are modeled as weighted average, an increase in the weight on the internal reference implies a simultaneous decrease in the weight on the outside option. Therefore, the effect of the internal reference relative to the external reference determines whether wage rigidity increases or decreases.     

Optimism bias in financial analysts' earnings forecasts: Do commissions sharing agreements reduce conflicts of interest?

Implemented in May 2007, the French rules governing commission-sharing agreements (CSAs) consist of unbundling brokerage and investment research fees. The goal of this paper is to analyze the effect of these rules on analysts' forecasts. Based on a sample of one-year-ahead earnings per share forecasts for 58 French firms during the period from 1999 to 2011, we conduct panel data regressions. We show that the analysts' optimistic bias declined significantly after CSA rules, which suggests that these rules are effective at curbing the conflicts of interest between brokerage activities and financial research. Our results are robust to the impact of the Global Settlement and the Market Abuse Directive.     

Do the OECD 24 month horizon growth forecasts for the G7–countries contain information?

The OECD produces two–year–ahead growth forecasts for the G7–countries since 1987; these forecasts have never been evaluated. A regression is developed that tests for the information content of the forecasts. The idea is that this content is the added value forecasters incorporate in their forecasts. The information content is defined relative to the forecast for the previous year. In the end, the added value contained in the current year forecast is calculated relative to the last observation. The test consists in checking whether the information content reduces the forecasts error.

The study begins with a calculation of the usual accuracy statistics. These indicate an extreme low quality for the forecasts. The regression tests support this conclusion although the forecasts for Japan do possess some information. Alarming for users of forecasts is that there are no obvious alternatives.     

How Do Technical Barriers to Trade Influence Trade?

This paper empirically estimates the trade effects of technical barriers to trade (TBT) based on all TBT notifications from 105 World Trade Organization (WTO) countries during 1995–2008. The paper adopts a modified two‐stage gravity model to control for both sample selection bias and firm heterogeneity bias. It was found that a country's TBT notifications decrease other countries' probability of exporting, but increase their export volumes. The result can be explained by the TBT's differential effects on the fixed and variable cost of export, and consumer confidence. It was further found that (i) a developing country's TBT have significant effects on other developing countries' exports, but no significant effects on the developed countries' exports, (ii) a developed country's TBT have significant effects on the exports from both types of countries, and (iii) exports from developed countries are affected by a developed country's TBT more seriously than a developing country's TBT.     

Do traders learn to select efficient market institutions?

Experimental Economics - When alternative market institutions are available, traders have to decide both where and how much to trade. We conducted an experiment where traders decided first whether...