Assessment of the effect of the financial crisis on agents’ expectations through symbolic regression

Agents’ perceptions on the state of the economy can be affected during economic crises. Tendency surveys are the main source of agents’ expectations. The main objective of this study is to assess the impact of the 2008 financial crisis on agents’ expectations. With this aim, we evaluate the capacity of survey-based expectations to anticipate economic growth in the United States, Japan, Germany and the United Kingdom. We propose a symbolic regression (SR) via genetic programming approach to derive mathematical functional forms that link survey-based expectations to GDP growth. By combining the main SR-generated indicators, we generate estimates of the evolution of GDP. Finally, we analyse the effect of the crisis on the formation of expectations, and we find an improvement in the capacity of agents’ expectations to anticipate economic growth after the crisis in all countries except Germany.     

Tax competition for foreign direct investments and the nature of the incumbent firm

We investigate tax/subsidy competition for foreign direct investments (FDI) between countries of different size when a domestic firm is the incumbent in the largest market and we study how the nature (public or private) of the incumbent firm affects policy competition. We show that, differently from the case of a private firm, the country hosting the incumbent always benefits from FDI if the domestic firm is a public welfare‐maximizing firm. We also show that the public firm acts as a disciplinary device for the foreign multinational that will always choose the efficient welfare‐maximizing location. An efficiency‐enhancing role of policy competition may then arise only when the domestic incumbent is a private firm, whereas tax competition is always wasteful in the presence of a public firm.     

A new consensus-based unemployment indicator

In this study we present a novel approach to measure the level of consensus among agents’ expectations. The proposed framework allows us to design a positional indicator that gives the percentage of agreement between survey expectations. While other aggregation methods such as the balance, which is constructed as the difference between the percentages of respondents giving positive and negative replies, explicitly omit the neutral information, the proposed metric allows synthesizing the information coming from all response categories, including the percentage of respondents who do not expect any change. In order to assess the performance of the proposed measure of consensus, we compare its ability to track the evolution of unemployment to that of the balance in eight European countries. With this aim, we scale both measures to generate one-period ahead forecasts of the unemployment rate. We find that the consensus-based unemployment indicator outperforms the balance in all countries except Denmark and Sweden, which suggests that the level of agreement among agents’ expectations is a good predictor of unemployment.     

The determinants of service exports from Central and Eastern Europe

The transition economies of Central and Eastern Europe (CEE) have become important exporters of many types of services to Western Europe. We identify the sources of CEE’s advantages over competing exporters, such as India, China and Brazil, using disaggregated data on service exports and a novel estimation technique for the gravity equation. Our results indicate that the importance of geographical distance varies substantially across types of service exports. Geography is important for exports of construction services, but it has a negligible impact on computer‐related services. However, the relative quality of legal institutions influences trade across a broad range of service categories. The results demonstrate that aggregating services that are not homogeneous could conceal important differences in the effects of geographical distance and other variables on the pattern of service trade.     

Product differentiation and dynamic price behavior in fish markets

The objective of this paper is to estimate the dynamics of aquaculture and fish prices as a response to price shocks. The vector autoregression approach will be used to explain the dynamics of the sea bream market in both cultured and wild fishing. The main result is that changes in public regulation or in production conditions could stimulate production responses which may take time to settle. Usually, the change is a matter of adjusting between equilibria over a period of time, with the pattern and speed of the adjustment, depending on the nature and degree of disequilibrium in the fishing system. Comments from reviewers have been incorporated into the paper and are gratefully acknowledged. Financial support was provided by Direcció General de Recerca, Departament d'Universitats, Recerca i Societat de la Informació project N^o SGR2001-160.     

Inequality foundations of concentration measures: An application to the Hannah-Kay indices

The aim of this paper is to provide a connection between concentration and inequality. In particular, we show that the general entropy inequality indices are, among inequality measures, those consistent with the whole set of Hannah-Kay concentration indices. We isolate the inequality component underlying concentration measures, obtaining an explicit additive decomposition of the change in concentration into the change in its two components, i.e., inequality and the number of firms. This relationship proves to be valid for the whole set of Hannah-Kay concentration indices, and embodies as particular cases some others previously found in the literature. We are particularly grateful to Emilio Cerdá for helpful comments on the mathematical formulation of the paper. The second author also acknowledges support through the European Commission Project #ERBCHRXCT980248.     

Longitudinal analysis of entrepreneurship and competitiveness dynamics in Latin America

This study analyzes the relationship between entrepreneurial dynamics in Latin-American countries and the level of competitiveness these countries show. Based on the research conducted by Wennekers et al. [Small Business Economics, 24(3):293–309, 2005] that demonstrates a U-shaped relationship between the country’s rate of entrepreneurship and its level of competitiveness and economic development, we hypothesize that Latin-American countries have a descending behaviour under the U-shaped curve approach. The results from three regression models support this hypothesis and suggest that competitiveness and economic growth deter entrepreneurial dynamics on Latin-American countries. We discuss that Latin-American countries need to improve some structural factors to achieve a high level of entrepreneurial dynamics.

Examining the success of women of color-owned small and medium-sized enterprises in the United States: A system dynamics perspective

The objective of this study was to unravel the challenges confronting women of color (WoC)-owned small and medium-sized enterprises (SMEs) in the United States. This is based on findings that most WoC-owned SMEs fail within the first few years of establishment. The impact of the global financial crisis resulting from the COVID-19 pandemic on WoC-owned SMEs was also explored. System Dynamics (SD) is a computational modeling approach useful for understanding changes in a system over time and is applied in this study to illustrate WoC entrepreneurs' navigation through the startup and maturation of SMEs. The authors calibrated and validated the model with publicly available data. Findings revealed that more emphasis should be placed on failure reduction in the early years of establishment of these businesses. Also, there is the need for early intervention rather than focusing on the improvement of the successful business exit from the system. Results indicated that the creation of new businesses by WoC after the failure of existing businesses produced an increase in the number of failed enterprises. The authors assert that attention must be paid at the individual level through support to the entrepreneur. This study contributes to the extant literature by providing the first known SD model useful in depicting the SME system for WoC entrepreneurs in the US. The model serves as a potentially useful tool for informing effective policy making, education, and programmatic approaches to support the success of WoC entrepreneurs in the US.

     

Sequential estimate for linear regression models with uncertain number of effective variables

As a result of novel data collection technologies, it is now common to encounter data in which the number of explanatory variables collected is large, while the number of variables that actually contribute to the model remains small. Thus, a method that can identify those variables with impact on the model without inferring other noneffective ones will make analysis much more efficient. Many methods are proposed to resolve the model selection problems under such circumstances, however, it is still unknown how large a sample size is sufficient to identify those “effective” variables. In this paper, we apply sequential sampling method so that the effective variables can be identified efficiently, and the sampling is stopped as soon as the “effective” variables are identified and their corresponding regression coefficients are estimated with satisfactory accuracy, which is new to sequential estimation. Both fixed and adaptive designs are considered. The asymptotic properties of estimates of the number of effective variables and their coefficients are established, and the proposed sequential estimation procedure is shown to be asymptotically optimal. Simulation studies are conducted to illustrate the performance of the proposed estimation method, and a diabetes data set is used as an example.     

Decentralized trade, random utility and the evolution of social welfare

We study decentralized trade processes in general exchange economies and house allocation problems with and without money. The processes are affected by persistent random shocks stemming from agents’ maximization of random utility. By imposing structure on the utility noise term—logit distribution—one is able to calculate exactly the stationary distribution of the perturbed Markov process for any level of noise. We show that the stationary distribution places the largest probability on the maximizers of weighted sums of the agents’ (intrinsic) utilities, and this probability tends to 1 as noise vanishes.