Renewable resource market obeying difference equations: Stable points,stable cycles,and Chaos (1991)

In this paper, the basic principles of the Chaos Theory are applied to dynamic systems involving renewable resource and harvest. The results of simulations are presented regarding harvested resource stock time path. It is shown that stationary steady-state is only one of many different possible outcomes of bioeconomic equilibrium. The varying impacts that different management policies have on an unstable dynamic system are also studied. It is shown that in unstable resource systems, the effects of some policy measures will be very different from the ones obtained through traditional resource analysis. It also shows that policies which induce a stabilizing effect in stock time series will generally provide greater welfare gains. The results are illustrated by two market examples.     

Testing for horizontal and vertical foreign investment spillovers in China, 1998–2007

As with many developing countries, the Chinese government hopes that knowledge brought by multinationals will spill over to domestic industries and increase their productivity. In this paper, we show that foreign investment originating outside of Hong Kong, Macau, and Taiwan has positive effects on individual firm level productivity, while foreign investment from HKMT firms does not. We also test for both horizontal (within the same industry) and vertical (upstream or downstream) linkages from foreign investment. Using a manufacturing firm-level panel for 1998 through 2007, we find zero or weak positive horizontal externalities. However, our results show that foreign direct investment (FDI) has generated positive productivity spillovers to domestic firms via backward linkages (the contacts between foreign affiliates and their local suppliers in downstream sectors) as well as forward linkages (between foreign suppliers and their local buyers in the upstream sectors).     

Inflation expectations in the euro area: are consumers rational?

In this paper, we propose a quantitative measure for inflation expectations based on consumer survey data. Thereafter, we proceed to testing the rationality assumption. This issue is of noteworthy interest in its own as it is commonly assumed in the theoretical modelling literature that the rational expectations hypothesis holds. This analysis is conducted for the euro area as a whole, as well as for several member countries, using a sample covering the last two decades. Moreover, we also assess if the conclusions hold when one focuses on the post-euro introduction period.     

Defaults in bank loans to SMEs during the financial crisis

We investigate the role of (business) collateral and (personal) guarantees alongside small and medium enterprise (SME), lending bank and loan characteristics, macroeconomic conditions, sectors, and geographic locations while controlling for unobserved time effects in predicting default at the peak of the financial crisis. First, we find a positive relation between collateral and default, and a negative relation between guarantees and default. Second, we find a negative relation between the joint influence of collateral and high credit score, and a positive relation between the joint influence of collateral and low credit score and default. We also find a negative relation between the joint influence of guarantees and high credit score. These findings are relevant for SME policies aimed at facilitating access to credit, reducing the cost of borrowing, and decreasing default; risk management of banks; and the application of theories of financial economics in the context of a financial crisis.     

Forecasting inflation through a bottom-up approach: How bottom is bottom?

The aim of this paper is to assess inflation forecast accuracy over the short-term horizon, using Consumer Price Index (CPI) disaggregated data, through a bottom-up approach. That is, aggregating forecasts is compared with aggregate forecasting. A new dimension to the question of to bottom-up or not is introduced by considering different levels of data disaggregation, namely a higher disaggregation level than the one considered up to now. This raises modelling issues that one has to cope with. In particular, it is suggested the use of a new strand of models, the Factor-Augmented SARIMA models. Considering as case-study the Portuguese one, we find an inverse relationship between the forecast horizon and the amount of information underlying the forecast, when minimizing the RMSFE.