Are Unrealistic Assumptions/Simplifications Acceptable? Some Methodological Issues in Economics

Are unrealistic assumptions acceptable? If results are not changed in a misleading way, they are acceptable. The same assumption may be acceptable in one context and not in another. Assuming identical pairs of individuals in the parity and limit theorems in general equilibrium theory is acceptable as results are not changed substantially. The alleged equivalence of the first‐price and second‐price auctions is based on misleading assumptions; Coase's case against taxing pollution is based on a misleading all‐or‐nothing comparison. The contrasting results (neutrality versus non‐neutrality of money) of perfect versus imperfect competition in macroeconomics with important real‐world policy relevance are also used to illustrate the point.     

An Empirical Comparison Between the Synthetic Control Method and HSIAO et al.'s Panel Data Approach to Program Evaluation

We compare two program evaluation methodologies: the synthetic control method and the panel data approach. We apply both methods to estimate the effect of the political and economic integration of Hong Kong. The results obtained differ depending on the methodology used. We then conduct a simulation that shows that the synthetic control method results in a post‐treatment mean squared error, mean absolute percentage error, and mean error with a smaller interquartile range, whenever there is a good enough match. Copyright © 2016 John Wiley & Sons, Ltd.     

Evolving splines and seasonal unit roots in weekly agricultural prices

The univariate statistical properties of agricultural price series need to be examined as a first step in the analysis of price transmission mechanisms. However, in the case of weekly price series, increasingly available, the testing procedures usually applied in this step are not suitable to deal with evolving seasonal effects. In this study, a method of testing for seasonal unit roots in weekly series of agricultural prices is described. When the deterministic seasonal component does not remain constant over time, the restricted evolving spline model (RESM) is shown to be a useful parametric formulation to capture the deterministic seasonal pattern. Therefore, the RESM model should be included as a deterministic component in auxiliary regression for unit root tests at seasonal frequencies. This proposal is applied to three weekly series of Canary Islands banana prices. From the standard seasonal unit root tests, the null hypothesis is failed to be rejected at the 5% or 10% significance level at some seasonal frequencies for each one of the series. Once critical values are obtained by simulation exercises when the RESM model is included, the hypotheses of unit root are rejected at each one of the seasonal frequencies for all of the three series.     

Gender,life cycle,and family ‘strategies’ among the poor: the Barcelona workhouse, 1762–1805

Poor relief has received less attention from historians of southern Europe compared with northern Europe. This article seeks to challenge the frequent assumption that the strength of family ties in southern Europe mitigated the need for welfare provision. It provides new data for men and boys entering the Barcelona workhouse in the period 1780–1803, and compares these with data from an earlier study of women and girls who entered the same institution over the period 1762–1805. We establish the characteristics of those who sought relief in terms of age, place of origin, marital status, and occupation. We use the information on reasons for entry and exit to ascertain family circumstances. We show that there were significant differences between males and females in terms of why they entered and left, and length of stay, particularly among the elderly. The bulk of the population of the workhouse, however, was comprised of children and adolescents. For this group, entry into the workhouse represented not just a temporary solution to life cycle poverty and periodic unemployment, but also a longer‐term strategy aimed at smoothing entry into the labour market.     

The Geography of Innovation in China and India

The BRICS countries in general, and China and India in particular, are now widely regarded as the areas of the world likely to challenge the economic leadership of the United States (US) and the European Union (EU). A large part of this challenge will come from rapid technological catch‐up by China and India. Yet, despite a recent rise in interest, there is limited knowledge about how and where innovation takes place in these two leading emerging countries and to what extent the Chinese and Indian territorial systems of innovation differ from those in the EU or the US. In this article we explore the geography of innovation in China and India, concentrating on understanding key territorial‐level innovation trends by country, region and technology field, using the US and the EU as benchmarks. We find significant contrasts between the geography of innovation in China and India and that of the US and the EU. First, the degree of concentration of innovative activities in both countries is extremely high. Levels of agglomeration of innovation in the coastal provinces of China, as well as in Delhi and the South of India, significantly exceed the levels of agglomeration found in the USA and the EU. Secondly, China has witnessed a more rapid increase in the degree of concentration of innovation than India. We posit that the differences in the geography of innovation between, on the one hand, China and India and, on the other hand, between these countries and the developed world are rooted in different institutional settings, different systems of innovation and different national innovation strategies.     

Do analysts who understand accounting conservatism exhibit better forecasting performance?

This study investigates the performance of analysts when they match the asymmetric timeliness of their earnings forecast revisions (i.e., asymmetric forecast timeliness) with the asymmetric timeliness of firms’ reported earnings (i.e., asymmetric earnings timeliness). We find that better timeliness‐matching analysts produce more accurate earnings forecasts and elicit stronger market reactions to their forecast revisions. Further, better timeliness‐matching analysts issue less biased earnings forecasts, more profitable stock recommendations and have more favorable career outcomes. Overall, our results indicate that analysts’ ability to incorporate conditional conservatism into their earnings forecasts is an important reflection of analyst expertise and professional success.     

Regulation of relationships between heterogeneous farmers and an aquifer accounting for lag effects

Many environmental problems are due to damage caused by pollutants that accumulate with a time lag following their emission. In this study, we focus on nitrates used in agriculture, which can pollute groundwater many years after their initial application. A dynamic optimal control problem with heterogeneous farmers is proposed. The usual structural parameters such as the discount rate, the natural clearing rate and the lagged time interval between the occurrence of soil‐level pollution and the impact on groundwater are taken into account. We also examine pollution as caused by a continuous set of farms characterised by their individual performance index and by their individual marginal contribution to the pollution. The issue is further investigated by taking account of change in the information context, successively related to perfect information and to asymmetric information. As a result, when the delay between the spreading of N‐fertilizer and the impact on the aquifer increases, that is, the longer the lag, the steady‐state pollution stock and the steady‐state shadow price of the stock both increase. Moreover, we show that the optimal regulation may require a decreasing amount of fertilizer over time, even in the case of initial underpollution.     

Education and the empowerment of women in household decision‐making in Spain

It was analysed whether investment in the education of both women and men serves to empower wives resulting in more balanced household decisions being taken on matters related to consumption and financial management. They considered that household decision‐making could be made by mainly the wife, mainly the husband or the couple acting jointly. They then applied multinomial probit models to the Spanish Living Conditions Survey of 2010. Results show that, when controlling for demographic, family and labour market characteristics, the level of education of both the husband and wife has a positive effect in terms of a more egalitarian decision‐making process in relation to three areas of expenditure: daily shopping, expensive purchases of consumer durables and significant expenditure on children. However, only women's education has a positive effect on borrowing money and no effect of education is observed with regard to the use of savings. Results are less conclusive for households where decisions are taken primarily by the wife or husband, since men's education increases the role of husbands in the household making‐decision process whereas no effect of wives' education is observed.