Mykolas Navickas, Vytautas Juščius and Valentinas Navickas
Alm, J., and Embaye, A., 2013. Using Dynamic Panel Methods to Estimate Shadow Economies Around the World, 1984–2006 . Working Papers 1303. Tulane University, Department of Economics. Retrieved from https://ideas.repec.org/p/tul/wpaper/1303.html
Apel, M., 1994. An expenditure-based estimate of tax evasion in Sweden . Working Paper 1994 (1). Department of Economics, Uppsala University. Uppsala.
AT Kearney, 2013. The Shadow Economy in Europe, 2013. www.atkearney.com/documents/10192/1743816/The+Shadow+Economy+in+Europe+2013.pdf
Arnold, J., 2008. Do Tax Structure Affect Aggregate Economic Growth? Empirical Evidence from a Panel of OECD Countries Vol. 643. (pp. 29). DOI:http://dx.doi.org/10.1787/236001777843
Barro, R. J., 1990. Government Spending in a Simple Model of Endogenous Growth. Journal of Political Economy, 98(5 Part 2), S103-S125. DOI: http://dx.doi.org/10.1086/261726
Durmishi, A., 2015. Albania's Fiscal Goals, Budgetary Balance, Government Debt. Anglisticum Journal (IJLLIS), 4(9-10), 136-140.
Pablo de Pedraza, Stefano Visintin, Kea Tijdens and Gábor Kismihók
specific case study using data from an NSO to benchmark a very large data set collected from the Internet, with the aim of shedding light on the relationship between the population collected online and the population at large as inferred by traditional scientific methods. More specifically, we focus on the number of vacancies in the economy inferred by survey methods by a statistical office compared to the number of vacancies obtained from web crawling.
In economics research, labor markets are among the areas in which Big Data is increasingly being used ( Choi and
) through market prices. This is how the “brain drain,” for example, has been portrayed in the early literature of the 1970s as well as in the first “new growth” models of the early 1990s. And this also applies, this paper will argue, to the role of migration and diaspora networks that contribute to integrate home countries into the world economy. While by definition individuals do not internalize the full extent of consequences of their decisions on other’s welfare (for if they were, there would be no externality), these consequences should be—but are seldom
do we think of the jobs that might have been lost because of these computers and machines. Today, we no longer fear the computer that Professor Simon was afraid of, but something more profound: artificial intelligence (AI) or the capacity of machines to make predictions using large amounts of data to take actions in complex, unstructured environments ( Agrawal et al., 2018a ).
Complex decision-making under uncertainty is at the heart of modern economies. Whether as a consumer deciding which products and services to consume, as an employee when it comes to
Economic research on labor migration in the developing world has traditionally focused on the role played by the remittances of overseas migrant labor in the sending country’s economy (for a survey of the empirical literature on remittances, see Adams (2011) ). In the last decade, more attention has been paid to migration for work and its effects on the socioeconomic outcomes of sending households, thanks in large part to the increased availability of household survey data from developing countries. This study contributes to this particular
Alexander Hijzen, Pedro S. Martins and Jante Parlevliet
on collective bargaining has tended to concentrate on the level of bargaining . An influential view originally proposed by Calmfors and Driffill (1988) held that systems with predominantly sector-level bargaining lead to excessive wage claims relative to productivity. As a result, these systems were thought to be associated with weaker labour market performance than either centralised systems, which provide flexibility at the aggregate level by inducing unions and employer associations to internalise the macro-economic effects of wage claims on economy
Weiss, Y., 1976. Human capital and labor supply: A synthesis. Journal of Political Economy, 84(3): 449-472. 10.1086/260454 Blinder A.S. and Weiss Y. 1976 Human capital and labor supply: A synthesis. Journal of Political Economy, 84 3 449 – 472
Castellucci, F., Padula, M. and Pica, G. 2011. The age-productivity gradient: Evidence from a sample of F1 drivers. Labour Economics, 18(4): 464-473. 10.1016/j.labeco.2010.09.002 Castellucci F. Padula M. and Pica G. 2011 The age-productivity gradient: Evidence from a sample of F1 drivers
employment protection in NI and the RoI are likely to be broadly similar.
Over this period, the RoI labor market has been subject to much higher levels of economic volatility, due principally to the highly open nature of the Irish economy, compared to the NI labor market, which is generally perceived as being less subject to national and international shocks, in part due to its heavier reliance on public sector employment. Public sector jobs are estimated to account for over 30% of total employment in NI, compared to a UK average of 17% ( McFlynn, 2015 ) and a figure of
Effrosyni Adamopoulou, Emmanuele Bobbio, Marta De Philippis and Federico Giorgi
for the same period. We proceed by first implementing a standard Blinder–Oaxaca (BO) decomposition exercise ( Blinder, 1973 and Oaxaca, 1973 ), augmented with employer-level characteristics. This exercise allows us to quantify separately the parts of average wage changes that are due to changes in employers’ and those due to changes in workers’ average characteristics in the economy. Since matched employer–employee datasets were previously not easily available, the firm side of the adjustment has often been neglected in the earlier literature. Recently, some