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1

Simini, Bruno. "Italy tackles medical unemployment." Lancet 350, no. 9090 (November 1997): 1528. http://dx.doi.org/10.1016/s0140-6736(05)63961-x.

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2

Modigliani, F., F. Padoa Schioppa, and N. Rossi. "Aggregate Unemployment in Italy, 1960-1983." Economica 53, no. 210 (1986): S245. http://dx.doi.org/10.2307/2554381.

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3

Basile, Roberto. "Migration and Regional Unemployment in Italy." Open Urban Studies Journal 5, no. 1 (March 9, 2012): 1–13. http://dx.doi.org/10.2174/1874942901205010001.

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4

Bazzani, Tania. "Italy, Denmark and Germany." European Labour Law Journal 8, no. 2 (June 2017): 133–53. http://dx.doi.org/10.1177/2031952517712124.

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The article analyses the latest reforms in active and passive labour market policies (LMPs) in Germany, Italy and Denmark, within a European perspective. These Member States employ three of the various kinds of social security systems found in the EU - Continental, Mediterranean and Nordic - and provide an interesting example for comparison of differences/common trends in LMPs. This contribution focuses particularly on the principal characteristics of each protection system in the event of unemployment and on the relationships between unemployment benefits and activation policies and highlights the links between the European Employment Guidelines and the regulation under analysis.
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5

Preti, A., and P. Miotto. "Suicide and unemployment in Italy, 1982-1994." Journal of Epidemiology & Community Health 53, no. 11 (November 1, 1999): 694–701. http://dx.doi.org/10.1136/jech.53.11.694.

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6

Garonna, Paolo, and Francesca G. M. Sica. "Intersectoral labour reallocations and unemployment in Italy." Labour Economics 7, no. 6 (November 2000): 711–28. http://dx.doi.org/10.1016/s0927-5371(00)00018-x.

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7

Lanzafame, Matteo. "The nature of regional unemployment in Italy." Empirical Economics 39, no. 3 (December 12, 2009): 877–95. http://dx.doi.org/10.1007/s00181-009-0331-5.

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8

Padoa Schioppa, Fiorella. "Classical, Keynesian and mismatch unemployment in Italy." European Economic Review 34, no. 2-3 (May 1990): 434–42. http://dx.doi.org/10.1016/0014-2921(90)90116-g.

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9

Baussola, Maurizio, and Riccardo Fiorito. "Regional unemployment in Italy: Sources and cures." Journal of Policy Modeling 16, no. 5 (October 1994): 497–527. http://dx.doi.org/10.1016/0161-8938(94)90025-6.

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10

Solaz, Anne, Marika Jalovaara, Michaela Kreyenfeld, Silvia Meggiolaro, Dimitri Mortelmans, and Inge Pasteels. "Unemployment and separation: Evidence from five European countries." Journal of Family Research 32, no. 1 (April 1, 2020): 145–76. http://dx.doi.org/10.20377/jfr-368.

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Since the 1970s, several European countries have experienced high union dissolution risk as well as high unemployment rates. The extent to which adverse economic conditions are associated with union instability is still unknown. This study explores the relationship between both individual and aggregate unemployment and union dissolution risk in five European countries before the recent economic crisis. Using rich longitudinal data from Belgium, Finland, France, Germany, and Italy, the empirical analysis, based on discrete-time event history models, shows that male unemployment consistently increases the risk of union dissolution. While a strong association is observed between male unemployment and separation at the micro level, no association is found between male unemployment and union dissolution at the macro level. The results for female unemployment are mixed, and the size of the impact of female unemployment is smaller in magnitude than that of male unemployment. In Germany and Italy, where until very recently work is less compatible with family life than in other countries, female unemployment is not significantly associated with union dissolution.
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11

Cazzola, Alberto, Lucia Pasquini, and Aurora Angeli. "The relationship between unemployment and fertility in Italy." Demographic Research 34 (January 8, 2016): 1–38. http://dx.doi.org/10.4054/demres.2016.34.1.

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12

De Vogli, R. "Unemployment and suicides during the recession in Italy." BMJ 347, aug06 1 (August 6, 2013): f4908. http://dx.doi.org/10.1136/bmj.f4908.

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13

Limosani, Michele. "Beyond Regional Institutions: Widening Unemployment Differentials in Italy." Labour 18, no. 3 (September 2004): 503–14. http://dx.doi.org/10.1111/j.1121-7081.2004.00272.x.

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14

Martín Artiles, Antonio, Oscar Molina Romo, and Alejandro Godino Pons. "Unemployment and adequate income policy in Spain and Italy." Anuario IET de Trabajo y Relaciones Laborales 3 (November 11, 2016): 94. http://dx.doi.org/10.5565/rev/aiet.41.

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15

Scoppa, Vincenzo, and Daniela Vuri. "Absenteeism, unemployment and employment protection legislation: evidence from Italy." IZA Journal of Labor Economics 3, no. 1 (2014): 3. http://dx.doi.org/10.1186/2193-8997-3-3.

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16

Accornero, Aris, Fabrizio Carmignani, and Maria Letizia Pruna. "Dynamics of Female Employment and Youth Unemployment in Italy." LABOUR 1, no. 1 (June 28, 2008): 109–27. http://dx.doi.org/10.1111/j.1467-9914.1987.tb00107.x.

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17

Zenezini, Maurizio. "Wages and Unemployment in Italy, a Long Term Perspective." Labour 3, no. 2 (September 1989): 57–100. http://dx.doi.org/10.1111/j.1467-9914.1989.tb00156.x.

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18

Lambovska, Maya, Boguslava Sardinha, and Jaroslav Belas, Jr. "IMPACT OF THE COVID-19 PANDEMIC ON YOUTH UNEMPLOYMENT IN THE EUROPEAN UNION." Ekonomicko-manazerske spektrum 15, no. 1 (June 30, 2020): 55–63. http://dx.doi.org/10.26552/ems.2021.1.55-63.

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Youth unemployment is a problem in each member country of the European Union (EU). The EU seeks to alleviate this problem by implementing various programs to support young people in finding and keeping a job, thus contributing to economic growth. In 2020, the world was hit by the COVID-19 pandemic. The countries have introduced many strict measures to prevent its spread, but they have caused a significant increase in unemployment, including among young people, and thus harmed economic growth. In this paper, we analyze the unemployment of people under the age of twenty-five in the EU. We also point out how unemployment rates have increased in individual countries. This problem concerns not only countries where the youth unemployment rate had been high already, such as Greece, Spain, and Italy, but also countries with previously lower rates, for example, the Czech Republic, Netherland, Poland, and Slovenia. In the latter group of countries, the youth unemployment rate has doubled in some cases due to anti-pandemic measures. We found that the most affected countries in this regard are the aforementioned Czech Republic, where the unemployment rate at the end of 2020 rose to 2.19 times above the level at the end of 2019, and Estonia, where year-over-year youth unemployment rose by a factor of 2.5. However, unfavorable developments occurred also in Lithuania, Latvia, and Ireland. According to our results, in 2020, youth unemployment increased the least in Hungary, Italy, and Belgium. In general, however, as the situation is now much more urgent, measures to alleviate this problem need to be put in place in each country to help young people find employment and, thus, stimulate economic growth.
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19

Mussida, Chiara, and Enrico Fabrizi. "Unemployment outflows: the relevance of gender and marital status in Italy and Spain." International Journal of Manpower 35, no. 5 (July 29, 2014): 594–612. http://dx.doi.org/10.1108/ijm-06-2012-0086.

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Purpose – The purpose of this paper is to shed light on transitions from the state of unemployment to that of employment and of inactivity in Italy and Spain. Design/methodology/approach – First, the paper investigates the determinants of unemployment outflows in these two Mediterranean labour markets. Then, the paper examines discrepancies and similarities between specific outflow determinants, especially the interactions between gender and marital status, by comparing results obtained across countries. Findings – The findings of the paper suggest that gender and marital status influence the probability of unemployment outflows in both countries, although not in the same way, especially with reference to marital status. Discrepancies also emerge in relation to the role of geographical area of residence. Originality/value – International comparisons of unemployment outflows are rather new in the literature, and as far as we know none have been performed using European Union Statistics on Income and Living Conditions data. Further, although studies quite often examine the issue of gender-related labour mobility using the European Community Household Panel survey that took place in the 1990s (Arulampalam et al., 2007; Garcia Pérez and Rebollo Sanz, 2005; Theodossiou and Zangelidis, 2009), one of the main contributions of this paper is that it provides a systematic examination of the issue, considering the influence of gender and marital status differences on patterns of unemployment outflows to employment and inactivity.
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20

Gil-Alana, Luis A. "A Univariate Analysis of Unemployment and Inflation in Italy: A Fractionally Integrated Approach." Brazilian Review of Econometrics 23, no. 2 (November 2, 2003): 227. http://dx.doi.org/10.12660/bre.v23n22003.2725.

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In this article we examine the behaviour of unemployment and inflation in Italy (1970-1994) by means of fractionally integrated techniques. Using a version of the tests of Robinson (1994a) that permits us to test I(d) statistical models, the results show that both variables are I(d) with d smaller than 1, thus implying mean reverting behaviour. This order of integration substantially varies depending on how we specify the I(O) disturbances, though in general, it oscillates around 0.80 for unemployment and 0.60 for inflation, suggesting that unemployment is more persistent than inflation. Splitting the sample in 1980, the degree of persistence seems higher for the second subperiod in both variables.
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21

Preti, Antonio, and Paola Miotto. "Some Social Correlates of Homicide Rates in Italy." Psychological Reports 85, no. 3 (December 1999): 770. http://dx.doi.org/10.2466/pr0.1999.85.3.770.

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In Italy, as elsewhere, homicide rates are higher in poorer regions. Unemployment rates associated strongly and positively with homicide rates, explaining up to 54% of variance in regional distribution of homicide rates across the 20 Italian administrative regions.
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22

Mattei, Giorgio, and Barbara Pistoresi. "Unemployment and suicide in Italy: evidence of a long-run association mitigated by public unemployment spending." European Journal of Health Economics 20, no. 4 (December 12, 2018): 569–77. http://dx.doi.org/10.1007/s10198-018-1018-7.

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23

Liotti, Giorgio. "Labour market flexibility, economic crisis and youth unemployment in Italy." Structural Change and Economic Dynamics 54 (September 2020): 150–62. http://dx.doi.org/10.1016/j.strueco.2020.04.011.

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24

Garonna, Paolo. "Youth Unemployment, Labour Market Deregulation and Union Strategies in Italy." British Journal of Industrial Relations 24, no. 1 (March 1986): 43–61. http://dx.doi.org/10.1111/j.1467-8543.1986.tb00670.x.

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25

Fullin, Giovanna, and Emilio Reyneri. "Low Unemployment and Bad Jobs for New Immigrants in Italy." International Migration 49, no. 1 (January 14, 2010): 118–47. http://dx.doi.org/10.1111/j.1468-2435.2009.00594.x.

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26

LI, JING-PING, OMID RANJBAR, and TSANGYAO CHANG. "UNEMPLOYMENT HYSTERESIS IN PIIGS COUNTRIES: A NEW TEST WITH BOTH SHARP AND SMOOTH BREAKS." Singapore Economic Review 62, no. 05 (December 2017): 1165–77. http://dx.doi.org/10.1142/s0217590815500782.

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In this empirical study, we apply the Panel stationary test with both sharp and smooth breaks to re-examine the hysteresis hypothesis of unemployment for five high-debt countries, Portugal, Ireland, Italy, Greece and Spain (PIIGS) from 1960 to 2011. We find that our proposed model has greater power than a linear method if the true data-generating process of unemployment is a stationary, non-linear process of unknown form with structural changes. Hysteresis in unemployment is confirmed for all PIIGS countries when traditional unit root tests are employed; however, hysteresis in unemployment is confirmed only for Greece when our proposed Panel stationary test with both sharp and smooth breaks is utilized.
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27

Leightner, Jonathan E. "Do Imports Increase Unemployment? Empirical Estimates That Are Not Model Dependent." Frontiers of Economics in China 16, no. 3 (December 22, 2021): 447–69. http://dx.doi.org/10.54605/fec20210302.

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Some Ricardian models would predict a fall in unemployment with trade liberalization. In contrast, the Heckscher-Ohlin model (Stolper Samuelson Theorem) would predict trade liberalization would cause a fall in wages for labor scarce countries, resulting in greater unemployment if there are wage rigidities. The choice of which theoretical model is used affects the empirical results obtained. This paper produces estimates of the change in unemployment due to a change in imports that are not model dependent. The estimates produced are total derivatives that capture all the ways that imports and unemployment are correlated. I find that unemployment increases with increased imports for Austria, Greece, Japan, Portugal, South Korea, Slovenia, and Sweden, but that unemployment decreases with increased imports for Australia, Belgium, Canada, Czech Republic, Denmark, Estonia, Finland, France, Germany, Hungary, Ireland, Israel, Italy, Latvia, the Netherlands, New Zealand, Norway, Poland, Slovakia, Spain, the UK, and the US.
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28

Dapontas, Dimitrios. "Examining Eurozone Crisis and Unemployment Relationship Using Var Models." Annals of the Alexandru Ioan Cuza University - Economics 60, no. 2 (December 1, 2013): 85–92. http://dx.doi.org/10.2478/aicue-2013-0029.

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Abstract This work examines the relationship between the Eurozone crisis and unemployment. We deploy distributed lag model using two binary (Crisis and crisis in another country) along with three (Government spending to GDP, Labor freedom, and urbanization) variables working as a long term factors applied on a six countries set (Cyprus, Greece, Ireland, Italy, Portugal and Spain respectively) spanning the period January1995-May 2012 in order to explain the unemployment change using VAR models on monthly data in contrast to longer frequency analyses. This innovative approach is determining the optimal lag length between unemployment and crises determining the time between turbulence and its effect to unemployment. The results show that optimal lag varies among two and eight months. Two variables seem to have negative effect on unemployment (Government spending to GDP, labor freedom) and one positive (urbanization).
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29

Morgan, Julian. "Structural Change in European Labour Markets." National Institute Economic Review 155 (February 1996): 81–89. http://dx.doi.org/10.1177/002795019615500105.

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In recent years considerable attention has been paid to the condition of labour markets in Europe. The recession of the early 1990s saw unemployment reach a post war high in a number of European countries. As Chart 1 shows unemployment has shown a secular upward trend in Germany, Italy and most notably, Spain. Real wage growth was also slower in the 1980s and 1990s than it had been in the 1970s (Chart 2).
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30

Ștefan, George, Anca Paraschiv, and Clara Volintiru. "Alternative Unemployment Rates in Romania." Proceedings of the International Conference on Business Excellence 16, no. 1 (August 1, 2022): 1491–504. http://dx.doi.org/10.2478/picbe-2022-0137.

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Abstract Official statistics and usual metrics place Romania at a relatively low level of unemployment. This paper shows why this can be misleading, considering various specificities of the Romanian economy. Looking at such factors as structural features, a high number of people employed in agriculture, involuntary part-time workers, etc. we show that there are alternative metrics for unemployment that can constitute better diagnostic tools for public policies and labor market reform. The alternative unemployment metrics presented here, show that the real unemployment figures in Romania are much closer to those in Mediterranean economies like Greece, Italy, and Spain that have been struggling with high unemployment. Furthermore, we emphasize possible directions and measures to be implemented in Romania to reduce unemployment (especially structural) and to support inter-regional social cohesion and sustainable economic growth. Given the current context of the economic downturn in the post-COVID-19 and the projected impact on vulnerable groups and the risk of poverty, it is more important than ever to develop sound evidence for the policy-making process.
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31

Kupčinskas, Kazys, and Arvydas Paškevičius. "An Assessment of House Loans Cointegration with Macro Variables in Selected Euro Zone Countries." Ekonomika 99, no. 2 (November 16, 2020): 39–58. http://dx.doi.org/10.15388/ekon.2020.2.3.

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This paper performs an empirical study on house loans, interest rates, unemployment, and house rent prices relationship in Germany, France, Spain and Italy from the year 2003 to 2018. We look for the cointegration and causality relationship between the house loans and macro variables with the help of the Vector error correction model (VECM) and Granger causality methods. We investigate whether variables with monthly data explain better the relationship and causal effects between the variables. We find a long term cointegrating relationship between the real house loans and interest rates, unemployment and house rent prices for France, Spain, and Italy, but not for Germany. On average the equilibrium in house loan development is reached from 4 to 8 years, meaning that long term equilibrium exists, but the variables reach it in a rather long time period. The ECB deposit facility rate included as an exogenous variable in four countries gained no significant power in explaining the short term changes of house loans in any of the country. We reveal a complex interaction between the bank’s credits and unemployment, interest rates, house rental prices in the paper.
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32

De Fazio, Pasquale, Gregorio Cerminara, Giuseppina Calabró, Antonella Bruni, Mariarita Caroleo, Mario Altamura, Antonello Bellomo, and Cristina Segura-García. "Unemployment, perceived health status and coping: A study in Southern Italy." Work 53, no. 1 (January 27, 2016): 219–24. http://dx.doi.org/10.3233/wor-152246.

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33

Cardullo, Gabriele, and Marco Guerrazzi. "The Cyclical Volatility of Equilibrium Unemployment and Vacancies: Evidence From Italy." LABOUR 30, no. 4 (June 2, 2016): 433–54. http://dx.doi.org/10.1111/labr.12077.

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34

Marelli, Enrico, and Elena Vakulenko. "Youth unemployment in Italy and Russia: Aggregate trends and individual determinants." Economic and Labour Relations Review 27, no. 3 (July 9, 2016): 387–405. http://dx.doi.org/10.1177/1035304616657959.

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35

Manacorda, Marco, and Barbara Petrongolo. "Regional mismatch and unemployment: theory and evidence from Italy, 1977–1998." Journal of Population Economics 19, no. 1 (October 19, 2005): 137–62. http://dx.doi.org/10.1007/s00148-005-0001-7.

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36

CRACOLICI, MARIA FRANCESCA, MIRANDA CUFFARO, and PETER NIJKAMP. "Geographical Distribution of Unemployment: An Analysis of Provincial Differences in Italy." Growth and Change 38, no. 4 (November 29, 2007): 649–70. http://dx.doi.org/10.1111/j.1468-2257.2007.00391.x.

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37

Klimiuk, Zbigniew, and Halyna Petryshyn. "Stages and effects of Italy's economy development in the historical dimension." Ìstorìâ narodnogo gospodarstva ta ekonomìčnoï dumki Ukraïni 2022, no. 55 (December 10, 2022): 77–101. http://dx.doi.org/10.15407/ingedu2022.55.077.

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The article analyzes the stages of the economic development of Italy from the mid-nineteenth century to the world economic and financial crisis in period 2007–2009. The economy of Italy is an interesting example among developed capitalist countries. In the post-war years, Italy, starting from a low level, quickly became one of the industrial powers in the world. The 1950s and 1960s were a period of dynamic industrialization of this country, which resulted in the expansion of a number modern industries, especially chemical and machine industries. Italy was even considered an example of an «economic miracle». The main feature of this period was the rapid growth of gross (GNP) and net (PNN) national product, which was accompanied by a high investment rate, dynamic export growth, a significant reduction in unemployment and profound changes in the employment structure. Since the mid-1990s, their economy has been developing significantly slower than the EU average. In 2019, GDP (nominal) in this country amounted to 1,988 billion dollars, which allowed Italy to take eighth place in the world ranking of the largest economies and despite the crisis, the fourth economy in Europe (after Germany, Great Britain and France). The economic problem is significant unemployment (9.8% in 2020) and the country's internal debt amounting to 134.8% of GDP (in 2019). The interdependence of export-investment-economic growth was historically the driving mechanism of the economic development of Italy in the 1950s and 1960s. However, in the 1970s, or even slightly earlier, the period of dynamic development ended. The aforementioned driving mechanism of the economy has ceased to function.
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38

Pastuszka, Sławomir, and Tomasz Tokarski. "Spatial differentiation of GDP and unemployment in Poland and Italy with its determinants." Wiadomości Statystyczne. The Polish Statistician 62, no. 3 (March 28, 2017): 49–70. http://dx.doi.org/10.5604/01.3001.0014.0883.

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The paper aims to identify the scale of spatial differentiation of GDP per capita and unemployment rate in Poland and Italy, as well as to indicate changes in the differentiation trends. The research was carried out at the level of Polish voivodships and Italian regions, forming the territorial units NUTS 2. The elementary methods of descriptive statistics and spatial econometrics (fixed effects) were applied for the research purpose. Data for the years 2002—2014, published by the CSO, Italian National Institute of Statistics (Istat) and Eurostat, were used for the analysis. The results of the research show that Poland and Italy are characterized by a similar, high level of regional diversity of GDP per capita. On the other hand, differences in the level of unemployment among Italian regions are much higher than among Polish voivodships. It was also stated that the differences in examined macroeconomic measures within the two countries are increasing, which in turn can lead to growing inter-regional disparities in the level of development.
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39

Campa, Riccardo. "Workers and Automata." Journal of Ethics and Emerging Technologies 24, no. 1 (February 1, 2014): 70–85. http://dx.doi.org/10.55613/jeet.v24i1.14.

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The aim of this investigation is to determine if there is a relation between automation and unemployment within the Italian socio-economic system. Italy is Europe’s second nation and the fourth in the world in terms of robot density, and among the G7 it is the nation with the highest rate of youth unemployment. Establishing the ultimate causes of unemployment is a very difficult task, and the notion itself of ‘technological unemployment’ is controversial. Mainstream economics tends to relate the high rate of unemployment that characterises Italian society with the low flexibility of the labour market and the high cost of manpower. Little attention is paid to the impact of artificial intelligence on the level of employment. With reference to statistical data, we will try to show that automation can be seen at least as a contributory cause of unemployment. In addition, we will argue that both Luddism and anti-Luddism are two faces of the same coin. In both cases attention is focused on technology itself (the means of production) instead of on the system (the mode of production). Banning robots or denying the problems of robotisation are not effective solutions. A better approach would consist in combining growing automation with a more rational redistribution of income.
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40

Platt, Stephen, Rocco Micciolo, and Michele Tansella. "Suicide and unemployment in Italy: Description, analysis and interpretation of recent trends." Social Science & Medicine 34, no. 11 (June 1992): 1191–201. http://dx.doi.org/10.1016/0277-9536(92)90312-e.

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41

Mussida, Chiara, and Dario Sciulli. "Flexibility Policies and Re-employment Probabilities in Italy." B.E. Journal of Economic Analysis & Policy 15, no. 2 (April 1, 2015): 621–51. http://dx.doi.org/10.1515/bejeap-2013-0180.

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Abstract We analyze the effects of Italian labor market reforms “at the margin” on the probability of exiting from non-employment and entering permanent and temporary contracts, using WHIP data for the period 1985–2004. We find that the reforms have strengthened the duration dependence parameter, meaning a stronger labor market gap in employment opportunities between the short- and long-term non-employed. We suggest that in a flexible labor market, long-term unemployment is used by firms as a screening device to detect less productive workers. We also find evidence of greater differences in employment opportunities according to gender, and of reduced differences between regional labor markets.
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42

Stamm, Ingo, Aila-Leena Matthies, Tuuli Hirvilammi, and Kati Närhi. "Combining labour market and unemployment policies with environmental sustainability? A cross-national study on ecosocial innovations." Journal of International and Comparative Social Policy 36, no. 1 (March 2020): 42–56. http://dx.doi.org/10.1017/ics.2020.4.

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AbstractLabour market and unemployment policies in particular are rarely connected to issues of environmental sustainability. In the present article, the link is examined by focusing on ecosocial innovations in four European countries – Finland, Germany, Belgium and Italy. These innovations are small-scale associations, cooperatives or organizations that create new integrative practices combining both social and environmental goals. By asking how their social practices are linked with labour market and unemployment policies, we explore the scope for new ecosocial policies. The results of this cross-national case study lead to three lessons to be learnt for a future ecosocial welfare state: at the sectoral level, organizational level and individual level. In summary, many valuable ideas, instruments and programmes towards sustainability already exist in the field, but they are not yet integrated in the current labour market and unemployment policies.
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43

Ardito, Chiara, Roberto Leombruni, Michele Mosca, Massimiliano Giraudo, and Angelo d’Errico. "Scar on my heart: effects of unemployment experiences on coronary heart disease." International Journal of Manpower 38, no. 1 (April 3, 2017): 62–92. http://dx.doi.org/10.1108/ijm-02-2016-0044.

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Purpose The purpose of this paper is to study the impact of unemployment on coronary heart diseases (CHD) in Italy on a sample of male manual workers in the private sector. Design/methodology/approach The authors investigate the association between CHD and different unemployment experiences (ever unemployed; short, mid and long cumulative unemployment), exploiting a large Italian administrative database on careers and health. The study design is based on the balancing of individuals' characteristics during a 12-year pre-treatment period; the measurement of unemployment occurrence during a seven-year treatment period; the observation of CHD occurrence during a five-year follow up. The workers characteristics and the probability of receiving the treatment are balanced by means of propensity score matching. Standard diagnostics on the balancing assumption are discussed and satisfied, while the robustness to violations of the unconfoundedness assumption is evaluated by a simulation-based sensitivity analysis. Findings The authors find a significant increase of CHD probability was found among workers who experience more than three years of unemployment (relative risks (RR)=1.91, p<0.1), and among those who exit unemployment starting a self-employment activity (RR=1.70, p<0.1). Using different selections of the study population, a clear pattern emerges: the healthier and more labour market attached are workers during pre-treatment, the greater is the negative impact of long-term unemployment on health (RR=2.79, p<0.01). Originality/value The very large representative sample (n=69,937) and the deep longitudinal dimension of the data (1985-2008) allowed the authors to minimize the risks of health selection and unemployment misclassification. Moreover, the adopted definition of unemployment corrected some undercoverage and misclassification issues that affect studies based on a purely administrative definition and that treat unemployment as a unique career event disregarding the duration of the experience.
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44

Basile, Roberto, Marianna Mantuano, Alessandro Girardi, and Giuseppe Russo. "Interregional Migration of Human Capital and Unemployment Dynamics: Evidence from Italian Provinces." German Economic Review 20, no. 4 (December 1, 2019): e385-e414. http://dx.doi.org/10.1111/geer.12172.

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Abstract Since the mid-1990s interregional migration flows in Italy have dramatically increased, especially from the South to the North. These flows are characterized by a strong component of human capital, involving a large number of workers with secondary and tertiary education. Using longitudinal data for the period 2002-2011 at NUTS-3 territorial level, we document that long-distance (i.e., South-North) net migration of high-skill workers has increased the unemployment at origin and decreased it at destination, thus deepening North-South unemployment disparities. On the other hand, long-distance net migration of low-skill workers has had the opposite effect, by lowering the unemployment at origin and raising it at destination. Further evidence also suggests that the diverging effect of high-skill migration dominates the converging effect of lowskill migration. Thus, concerns for an ‘internal brain drain’ from Southern regions look not groundless.
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45

Fullin, Giovanna. "Unemployment trap or high job turnover? Ethnic penalties and labour market transitions in Italy." International Journal of Comparative Sociology 52, no. 4 (July 28, 2011): 284–305. http://dx.doi.org/10.1177/0020715211412111.

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This article aims at analysing the trajectories of immigrants in the Italian labour market, focusing on yearly transitions from unemployment to employment and vice versa. Regression models show that, controlling for age, educational attainment and region, immigrant workers lose their jobs more often than natives but, once being unemployed they have more probabilities of finding a job than natives. As the probabilities of both transitions can be affected by characteristics of the initial status as well, the two transitions have been analysed separately. For the risk of losing a job, the segregation of immigrants in the secondary labour market seems to be the main reason of their penalization, but also the main reason of their advantage in job seeking, since their unemployment spells are shorter than those of natives, although at the cost of accepting worse working conditions. Analyses are based on the yearly transition matrices of Italian Labour Force Surveys, from 2005 to 2008.
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46

Puhani, Patrick A. "Labour Mobility: An Adjustment Mechanism in Euroland? Empirical Evidence for Western Germany, France and Italy." German Economic Review 2, no. 2 (May 1, 2001): 127–40. http://dx.doi.org/10.1111/1468-0475.00031.

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Abstract We evaluate whether labour mobility is likely to act as a sufficient adjustment mechanism in the face of asymmetric shocks in Euroland. As no adequate data on cross-border migration are available, migration elasticities within nation states (Western Germany, France and Italy) are estimated and interpreted as upper bounds for cross-border migration elasticities between European nation states. Labour mobility is highest in Germany, followed by France and Italy. However, the accommodation of a shock to unemployment by migration takes several years. We conclude that labour mobility is unlikely to act as a sufficient adjustment mechanism to asymmetric shocks in Euroland.
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47

Lisi, Gaetano. "Can the AD-AS Model Explain the Presence and Persistence of the Underground Economy? Evidence from Italy." Economies 9, no. 4 (November 5, 2021): 170. http://dx.doi.org/10.3390/economies9040170.

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The underground economy crucially affects growth and unemployment in both developed and developing countries. Nevertheless, this widespread phenomenon does not appear in the basic model for macroeconomic analysis, namely the Aggregate Demand-Aggregate Supply (or simply AD-AS) model. Therefore, this paper introduces–for the first time, to the best of our knowledge–the underground sector of the economy into the popular AD-AS model, with the aim of increasing its descriptive power. Indeed, the present theoretical extension of the AD-AS model shows that the underground economy –despite its negative effects on aggregate demand and growth– can trigger a supply-side positive shock that mitigates, at least in the short run, the problem of high unemployment. Empirical evidence from Italy is also provided.
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48

Fejzulla, Pano Enkeleda. "Increasing Youth Employability in Albania by Enhancing Skills through Vocational Education." European Journal of Economics and Business Studies 7, no. 2 (April 15, 2021): 12. http://dx.doi.org/10.26417/685lur76k.

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Since the 1990s, Albania has experienced structural changes in education and the labour market as a result of increased globalization, the trend toward deindustrialization, and the increasing outflow of foreign direct investment, particularly from European countries such as Italy, Greece, and Turkey. Youth unemployment has increased drastically due to the transition of the economy from agricultural and public sector sectors into open market economy. This article through in-depth literature review aim to analyse the various variables and causes of youth unemployment, to analyse also the vocational education and training framework in Albania. Three research questions were raised: What are the factors that have contributed to the youth unemployment in Albania? What technical skills required the labour market in Albania? Can vocation education system in Albania enhance skills required by the labour market? This article suggests some discussions on how to increase youth employment by knowing what skills the labour market request especially in private sector and how we can improve them through vocational education and training.
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49

Trein, Philipp. "Bossing or Protecting? The Integration of Social Regulation into the Welfare State." ANNALS of the American Academy of Political and Social Science 691, no. 1 (September 2020): 104–20. http://dx.doi.org/10.1177/0002716220953758.

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This article is an empirical analysis of how social regulation is integrated into the welfare state. I compare health, migration, and unemployment policy reforms in Australia, Austria, Canada, Belgium, France, Germany, Italy, the Netherlands, New Zealand, Sweden, Switzerland, the UK, and the United States from 1980 to 2014. Results show that the timing of reform events is similar among countries for health and unemployment policy but differs among countries for migration policy. For migration and unemployment policy, the integration of regulation and welfare is more likely to entail conditionality compared to health policy. In other words, in these two policy fields, it is more common that claimants receive financial support upon compliance with social regulations. Liberal or Continental European welfare regimes are especially inclined to integration. I conclude that integrating regulation and welfare entails a double goal: “bossing” citizens by making them take up available jobs while expelling migrants and refugees for minor offenses; and protecting citizens from risks, such as noncommunicable diseases.
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50

Esposito, Piero, and Sergio Scicchitano. "Educational mismatch and labour market transitions in Italy: Is there an unemployment trap?" Structural Change and Economic Dynamics 61 (June 2022): 138–55. http://dx.doi.org/10.1016/j.strueco.2022.02.011.

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