A sectoral analysis of the financial instability hypothesis

Hyman Minsky's Financial Instability Hypothesis (FIH) is applied to various North American Industrial Classification System (NAICS) industry groups, and it is found that some sectors develop much more closely in accordance with the FIH than others. Minsky categorized firms based on the relationship between cash flow and debt service requirements: hedge finance units, whose operating revenues are adequate to service current interest and principal on their debt; speculative finance units, which can meet interest payments but cannot pay down principal; and Ponzi finance units, which cannot meet current interest payments. The FIH is related to, as well as supportive of, Austrian Business Cycle (ABC) theory, because interest rates are negatively correlated with the proportion and market value of speculative firms in several sectors.     

P-star in times of crisis – Forecasting inflation for the euro area

In this paper we present three empirically testable versions of the common p-star model and evaluate their forecasting performance using conventional techniques. We try to answer the question if the p-star approach is preferable to achieve a reliable short-run inflation forecast and with regard to the latter we incur the need for a stable demand for money function. Our findings indicate the recurrence of the relevance of the monetary pillar of the ECB's two-pillar framework. In addition, we check for the effects of the current financial and economic crisis that started in 2007 on the forecasting performance, using two sub-sample periods, one excluding and one including the latter, and analyze the impact of the applied filter technique to compute the required equilibrium values.     

The welfare costs of monopoly are larger than you think

We show that monopoly is the parent of monopsony when an industry employs specialized resources. This means that the welfare loss from monopoly and monopolization is larger than commonly portrayed. Copyright © 2010 John Wiley & Sons, Ltd.     

Advertising and Coordination in Markets with Consumption Scale Effects

Many advertised products are established and have little quality variation. For these products advertising signaling explanations are unconvincing. We develop a coordination model of advertising with consumers observing ads probabilistically and never observing advertising levels. Consumers who fail to see an ad for a product believe it will likely have low sales and so be of low value. Firms advertise to avoid these beliefs. The model's predictions on advertising, market share, and profitability are consistent with observed outcomes. The model produces the time series behavior for prices and market share observed in the data and not available from existing coordination models.     

SEMIPARAMETRIC VECTOR MEM

Financial time series are often non‐negative‐valued (volumes, trades, durations, realized volatility, daily range) and exhibit clustering. When joint dynamics is of interest, the vector multiplicative error model (vMEM; the element‐by‐element product of a vector of conditionally autoregressive scale factors and a multivariate i.i.d. innovation process) is a suitable strategy. Its parameters can be estimated by generalized method of moments, bypassing the problem of specifying a multivariate distribution for the errors. Simulated results show the gains in efficiency relative to an equation‐by‐equation approach. A vMEM on several measures of volatility justifies a joint approach revealing full interdependence. Copyright © 2012 John Wiley & Sons, Ltd.