The nonobserved economy in the European Union

To better understand the share of the nonobserved economy (NOE) in the European Union, especially on the PIIGS, we estimate, through the multiple indicators multiple causes model, the path between 1980 and 2013. The model includes (i) the tax burden (disaggregated into direct and indirect taxes), a proxy of regulation burden, the unemployment rate and self-employment as causes of the NOE economy; (ii) the GDP and the labour force participation ratio as indicators of the NOE economy. In particular, the estimated weight of NOE as a percentage of official GDP was always higher in the PIIGS group.     

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.     

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.     

Impact of Chinese Agribusiness Entrepreneurs on the Local Land Market in the Russian Far East

Chinese originally migrated to the Russian Far East (RFE) to fill a labor shortage on collective farms. In more recent decades, some Chinese migrants have chosen to lease land from Russian farmers to manage their own farms. Rising soybean prices and the trade war between China and the United States have increased demand for land capable of producing soybeans. Thus, Chinese farmers in the RFE compete for land with Russians. The Chinese also contribute positively to local food security by increasing food availability and accessibility. This study uses an econometric model to analyze the impact of Chinese on local land markets in the RFE. Financial support for Russian farmers by the government depresses their demand for land; rising soybean prices and the employment of Chinese farm workers by Russian farmers encourage farm expansion, resulting in higher land prices. Selling farm produce to Chinese merchants increases the amount of land owned, cultivated, and rented by Russian farmers.     

Could immigration explain wage inequality in a skill-biased technological model?

The aim of this paper is to evaluate how immigration of high-skilled workers affects the technological-knowledge bias and, in turn, the skill premium in the host countries, in particular bearing in mind the recent experience in a number of European countries. We study a skill-biased dynamic general equilibrium R&D growth model in which the standard R&D technology is modified so wage inequality results from the direction of the technological knowledge, which in turn is induced by the price channel. By solving the transitional dynamics numerically, we show that the rise of the skill premium arises from the price-channel effect, complemented with a mechanism that reflects the impact of immigration on R&D. According to our quantitative results, our model is able to account for a significant proportion of the dynamics of the skill premium in the data for a number of European countries, thus, suggesting that differences in labour skills between immigrants and natives are, in practice, an important source of skill premium variation over time.     

Scientific policy and free riders

This paper presents econometric evidence of the effects of knowledge capital and institutions on technology transfer funding. A model is proposed and fitted for 31 research units on agricultural, forestry, and food sciences in Catalonia, Spain from 1990 to 1996. We find a strong impact of knowledge capital and institutional variables on technology transfer funding. Considering administrative costs strengthens the main points of the model and in some cases greatly changes the results. In particular, we reject the hypothesis that administrative costs do not matter. We also find evidence of the existence of free-rider strategies and that increasing returns-to-scale economies exist when bidding for technology transfer funding.An earlier draft of this paper was completed while the author was a visiting scholar at Iowa State University. The author is grateful to Wallace Huffman, Todd Sandler, and Simon Vicary for comments. Financial support was provided by the Interministerial Commission for Science and Technology project, SEC96-2300, and the Interdepartmental Commission for Research and Technological Innovation project, SGR97-333.     

In Defense of DEFECT

The one-state machine that always defects is the only evolutionarily stable strategy in the machine game that is derived from the prisoners' dilemma, when preferences are lexicographic in complexity. This machine is the only stochastically stable strategy of the machine game when players are restricted to choosing machines with a uniformly bounded complexity. Journal of Economic Literature Classification Numbers: C70, C72.     

INTERNATIONAL LISTINGS, THE SECURITY MARKET LINE AND CAPITAL MARKET INTEGRATION: THE CASE OF US LISTINGS ON THE LONDON STOCK EXCHANGE

This paper examines for international capital market segmentation by testing for changes (both inter-temporally and inter-beta) in the parameters of the riskreturn pricing relationship caused by the listing of US stocks on the London Stock Exchange (LSE) between 1965 and 1987. It is hypothesized that international listings reduce the negative effects associated with barriers to international investments, help integrate world markets and therefore decrease internationally listed stock's required returns. Significant negative deviations from the Sharpe-Lintner (SL) pre-listing pricing relationship during the postlisting period are therefore expected, primarily caused by decreases in the intercept parameter. We find, in support of the hypothesis, significant negative deviations from the predictions of SL for our sample, although they do not appear to have an intertemporal dimension. These deviations are largely associated both with decreases in the value of the SL model's intercept parameter and with low beta firms, and point toward some integration benefits from US listings on the LSE.