Wilhelm Röpke and Richard C. Koo On Secondary Deflations and Balance Sheet Recessions

The concept of a ‘secondary deflation’ was developed in the 1930s by the German economist Wilhelm Röpke, who saw it as something different from a normal depression. While a primary deflation is a necessary reaction to the inflation from a boom period, a secondary deflation is independent and economically purposeless. Röpke argued that secondary depressions occurred in the US, Germany, France and Switzerland during the 1930s, but was vague on what made them follow primary depressions. Recently, the Taiwanese–American economist Richard C. Koo has claimed to have discovered the ‘Holy Grail of macroeconomics’, that is, what made the Great Depression so deep and long. During the Great Depression, the bursting of the asset price bubble resulted in private sectors having more debt than assets; as they shifted from maximising profits to minimising debt, the consequent debt deflation shrank the economy. According to Koo, Western economies today are suffering from a similar ‘balance sheet recession’. Strengthened by the notion of a balance sheet recession, Röpke's long‐lost insights might advance our understanding of the business cycle in general and the present crisis in the US and the Eurozone in particular.     

Growth uncertainty,generalized disappointment aversion and production-based asset pricing

We study a production economy with regime switching in the conditional mean and volatility of productivity growth. The representative agent has generalized disappointment aversion (GDA) preferences. We show that volatility risk in productivity growth carries a positive and sizable risk premium in levered equity. Our model can endogenously generate long-run risks in the volatility of consumption growth observed in the data. We show that introducing leverage with a procyclical dividend process consistent with the data is critical for the GDA preferences to have a large impact on equity returns.     

Drivers of adoption of agroecological practices for winegrowers and influence from policies in the province of Trento,Italy

Many agricultural practices are negatively impacting the environment and threatening the ecological foundations of the global food system. Therefore, agroecological practices are being proposed as viable and desirable alternatives. Biophysical, economic, social, and political factors, matched with farmers’ psychological attributes, may all be governing the choice of agricultural practices. Public policies can play a significant role as they can stimulate the adoption of innovative farming practices. The main objective of this research was the evaluation of farmers’ motivations for the adoption of agroecological practices in the viticulture sector in the province of Trento, Italy. A specific focus was laid on the influences from the European Common Agricultural Policy (CAP) measures. For the evaluation of farmers’ perceptions of their systems of practices, the Cognitive Mapping Approach for Analysing Actors’ Systems Of Practices (CMASOP) was applied. Based on information collected during in-depth interviews, Individual and Social Cognitive Maps were generated, representing the most frequently adopted agroecological practices and the major drivers of adoption of such practices, as mentioned by farmers. Drivers of adoption were categorized according to the self-determination theory of human motivations. Farmers reported that adoption of agroecological practices was mainly driven by existence of site-specific pedoclimatic conditions, followed with decreasing importance by requirements from wineries, availability of material, appreciation for aesthetics, health concerns, influence from irrigation consortia, and legal requirements, among which a local legislation for integrated pest management based on a CAP measure. Overall, results show that farmers reported to adopt agroecological practices mainly because of autonomous choices rather than coercion. Therefore, wineries and local policy-makers might incentivize the adoption of agroecological practices by promoting autonomy-supportive policies that foster farmers’ identified and intrinsic motivations.     

Using common features to understand the behavior of metal-commodity prices and forecast them at different horizons

The objective of this article is to study (understand and forecast) spot metal price levels and changes at monthly, quarterly, and annual frequencies. Data consists of metal-commodity prices at a monthly and quarterly frequencies from 1957 to 2012, extracted from the IFS, and annual data, provided from 1900 to 2010 by the U.S. Geological Survey (USGS). We also employ the (relatively large) list of co-variates used in Welch and Goyal (2008) and in Hong and Yogo (2009).We investigate short- and long-run comovement by applying the techniques and the tests proposed in the common-feature literature. One of the main contributions of this paper is to understand the short-run dynamics of metal prices. We show theoretically that there must be a positive correlation between metal-price variation and industrial-production variation if metal supply is held fixed in the short run when demand is optimally chosen taking into account optimal production for the industrial sector. This is simply a consequence of the derived-demand model for cost-minimizing firms. Our empirical evidence fully supports this theoretical result, with overwhelming evidence that cycles in metal prices are synchronized with those in industrial production. This evidence is stronger regarding the global economy but holds as well for the U.S. economy to a lesser degree.Regarding out-of-sample forecasts, our main contribution is to show the benefits of forecast-combination techniques, which outperform individual-model forecasts – including the random-walk model. We use a variety of models (linear and non-linear, single equation and multivariate) and a variety of co-variates and functional forms to forecast the returns and prices of metal commodities. Using a large number of models (N large) and a large number of time periods (T large), we apply the techniques put forth by the common-feature literature on forecast combinations. Empirically, we show that models incorporating (short-run) common-cycle restrictions perform better than unrestricted models, with an important role for industrial production as a predictor for metal-price variation.     

Business cycle implications of mortgage spreads

How do aggregate quantities at the business cycle frequency respond to shocks to the spread between residential mortgage rates and government bonds? Using a structural VAR approach, we find that mortgage spread shocks impact the real economy by both economically and statistically significant magnitudes: a 100 basis point decline in the spread causes a peak increase in consumption, residential investment and GDP by 1.6 percent, 6.2 percent and 1.9 percent, respectively. Presumably, these effects are magnified when the policy rate is held fixed, as was the case in the US during the recent implementation of unconventional monetary policy.     

Inflationary shocks and real output growth in nine Muslim-majority countries: Implications for Islamic banking and finance

Low and stable inflation is important for maintaining the viability of Islamic banking and finance within a dual banking system. Inflationary shocks when transmitted to real output growth cause a shift of investment to fixed return products as a hedge against the uncertainty of returns on equity investment under Islamic profit-loss sharing contracts. This study examines the transmission of inflationary shocks to the real economy for nine Muslim-majority countries (Bahrain, Bangladesh, Egypt, Indonesia, Iran, Malaysia, Pakistan, Saudi Arabia, and Turkey) that have introduced Islamic banking, all except Iran within dual-banking systems. A structural vector autoregressive (SVAR) framework is deployed to understand macroeconomic relationships using annual data from the late 1970s to 2014. The key finding is that inflationary shocks affect real interest and exchange rates which in turn impact real output growth. The paper argues that the absorption of inflationary shocks in real interest and exchange rates is the outcome of rigidities in nominal interest and exchange rates within repressed financial systems. Policy regimes that allow for greater adjustment in nominal interest and exchange rates under a deregulated financial system would offer better shock absorption capacity which would lead to less volatility in inflation, real interest and exchange rates, and real output growth. The resulting more stable macroeconomic environment would be more conducive to the development of an Islamic financial sector that would promote economic growth.     

Risk-based capital for credit insurers with business cycles and dynamic leverage

This paper develops a risk-based capital pricing model for credit insurance portfolios held by a vulnerable insurer. The model accounts for business cycles using a two-state Markov switching model, and allows for dynamic leverage adjustment by the insured firms. The new proposed model, which incorporates risk-based capital practice, is better for both the insurer and the insured firms. Based on the risk-adjusted performance metric, we found that the insurer is better off insuring short- and medium-term loans in expansion and steady states, while it is better off backing both short- and long-term loans in recessions. Our results also emphasize that macroeconomic uncertainty significantly impairs the creditworthiness of the insurer and insured firms.     

Coordination,timing and common knowledge

There is tight link between coordination and common knowledge. The role of higher order beliefs in static incomplete information games has been widely studied. In particular, information frictions break down common knowledge. A large body of literature in economics examine dynamic coordination problems when there are timing frictions, in the sense that players do not all move at once. Timing frictions in dynamic coordination games play a role that is closely analogous to information frictions in static coordination games.This paper makes explicit the role of higher order beliefs about timing in dynamic coordination games with timing frictions. An event is said to be effectively known if a player knew the event when he last had an option to change his behavior. The lack of effective common knowledge of the time drives results of dynamic coordination games.     

Raising the bar (4)

This editorial summarizes and comments on the papers published in issue 11(4) so as to raise the bar in applied spatial economic research and highlight new trends. The first paper deals with common factors and spatial dependence in the error term specification of a production function model. The second paper sets forth a New Economic Geography (NEG) model with production activities that vary in their complexity, so as to analyse the impact on specialization patterns across different regions. The third paper measures the efficiency of local public investments using a relatively unknown econometric technique in which the time span over which the variables in the regression equation are measured is increased by one time period every run. The fourth paper adopts a conditional quantile regression approach to determine the impact of people employed in informal jobs on the wage distribution in Colombia and five of its regions. Finally, the last paper proposes and tests two new Bayesian variable selection approaches for spatial econometric models.