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Thematische Bibliographien / Unemployment / Zeitschriftenartikel

Zeitschriftenartikel zum Thema „Unemployment“

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Autor: Grafiati

Veröffentlicht am 4. Juni 2021

Zuletzt aktualisiert am 30. Juli 2024

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1

Beranek, William, und David R. Kamerschen. „Unemployment Benefits and Unemployment“. Modern Economy 02, Nr. 05 (2011): 800–803. http://dx.doi.org/10.4236/me.2011.25088.

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2

Diamond, Peter. „Cyclical Unemployment, Structural Unemployment“. IMF Economic Review 61, Nr. 3 (August 2013): 410–55. http://dx.doi.org/10.1057/imfer.2013.13.

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3

Milbourne, Ross D., Douglas D. Purvis und W. David Scoones. „Unemployment Insurance and Unemployment Dynamics“. Canadian Journal of Economics 24, Nr. 4 (November 1991): 804. http://dx.doi.org/10.2307/135694.

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4

Meyer, Bruce D. „Unemployment Insurance and Unemployment Spells“. Econometrica 58, Nr. 4 (Juli 1990): 757. http://dx.doi.org/10.2307/2938349.

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5

Wright, Randall, und Janine Loberg. „Unemployment Insurance, Taxes, and Unemployment“. Canadian Journal of Economics 20, Nr. 1 (Februar 1987): 36. http://dx.doi.org/10.2307/135229.

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6

Theodossiou, Ioannis, und Michael J. White. „Unemployment Propensity and Unemployment Duration“. Labour 8, Nr. 3 (September 1994): 445–54. http://dx.doi.org/10.1111/j.1467-9914.1994.tb00171.x.

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7

Riddell, W. Craig. „Measuring Unemployment and Structural Unemployment“. Canadian Public Policy / Analyse de Politiques 26 (Juli 2000): S101. http://dx.doi.org/10.2307/3552505.

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8

Fortin, Pierre. „Macroeconomic Unemployment and Structural Unemployment“. Canadian Public Policy / Analyse de Politiques 26 (Juli 2000): S125. http://dx.doi.org/10.2307/3552507.

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9

Fiorelli, Federico. „Technological unemployment as frictional unemployment“. Kybernetes 47, Nr. 2 (05.02.2018): 333–42. http://dx.doi.org/10.1108/k-03-2017-0089.

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Purpose The purpose of this paper is to present some scenarios about a possible future evolution of the labour market in the knowledge economy. Design/methodology/approach The author used the literature to describe the historical evolution of the technology unemployment. Findings Digital technology does not directly generate unemployment, as the balance between jobs destroyed and created has historically always been positive. Indeed, technological unemployment in such a context can manifest itself in the form of frictional unemployment. Originality/value The study enriches the literature on the relationship between digital technologies and unemployment rate.

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10

Jones, Loring P. „Unemployment“. Journal of Social Service Research 15, Nr. 1-2 (19.11.1991): 1–22. http://dx.doi.org/10.1300/j079v15n01_01.

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11

Wilcox, John. „Unemployment“. Theology 88, Nr. 725 (September 1985): 385. http://dx.doi.org/10.1177/0040571x8508800510.

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12

Dirksen, Mary E. „Unemployment“. AAOHN Journal 42, Nr. 10 (Oktober 1994): 468–76. http://dx.doi.org/10.1177/216507999404201002.

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13

Aghion, Philippe, und Peter Howitt. „Unemployment“. European Economic Review 35, Nr. 2-3 (April 1991): 535–41. http://dx.doi.org/10.1016/0014-2921(91)90155-c.

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14

Harris, James C. „Unemployment“. Archives of General Psychiatry 69, Nr. 5 (01.05.2012): 445. http://dx.doi.org/10.1001/archgenpsychiatry.2012.104.

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15

Bräuninger, Michael. „Unemployment Insurance, Wage Differentials and Unemployment“. FinanzArchiv 57, Nr. 4 (2001): 485. http://dx.doi.org/10.1628/0015221012904823.

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16

Røed, Knut, und Tao Zhang. „Does Unemployment Compensation Affect Unemployment Duration?“ Economic Journal 113, Nr. 484 (20.12.2002): 190–206. http://dx.doi.org/10.1111/1468-0297.00086.

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17

Stancanelli, Elena G. F. „Unemployment compensation schemes and unemployment duration“. Applied Economics Letters 5, Nr. 11 (November 1998): 675–80. http://dx.doi.org/10.1080/135048598354104.

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18

Sheehan, Maura, und Mike Tomlinson. „Unemployment Duration in an Unemployment Blackspot“. Labour 12, Nr. 4 (Dezember 1998): 643–73. http://dx.doi.org/10.1111/1467-9914.00084.

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19

Goerke, Laszlo, und Jakob B. Madsen. „Earnings-related unemployment benefits and unemployment“. Economic Systems 27, Nr. 1 (März 2003): 41–62. http://dx.doi.org/10.1016/s0939-3625(03)00016-5.

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20

Darity, William, und Arthur H. Goldsmith. „Unemployment, Social Psychology, and Unemployment Hysteresis“. Journal of Post Keynesian Economics 16, Nr. 1 (September 1993): 55–71. http://dx.doi.org/10.1080/01603477.1993.11489969.

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21

Mavromaras, Kostas Gr. „Unemployment benefits and unemployment rates revisited“. Journal of Public Economics 32, Nr. 1 (Februar 1987): 101–18. http://dx.doi.org/10.1016/0047-2727(87)90030-2.

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22

Lalive, Rafael. „Unemployment Benefits, Unemployment Duration, and Post-Unemployment Jobs: A Regression Discontinuity Approach“. American Economic Review 97, Nr. 2 (01.04.2007): 108–12. http://dx.doi.org/10.1257/aer.97.2.108.

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23

Belzil, Christian. „On the empirical relationship between unemployment duration, unemployment insurance and voluntary unemployment“. Economics Letters 39, Nr. 2 (Juni 1992): 235–40. http://dx.doi.org/10.1016/0165-1765(92)90296-b.

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24

Katz, Lawrence F., und Bruce D. Meyer. „Unemployment Insurance, Recall Expectations, and Unemployment Outcomes“. Quarterly Journal of Economics 105, Nr. 4 (November 1990): 973. http://dx.doi.org/10.2307/2937881.

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25

Ebeke, Christian, und Greetje Everaert. „Unemployment and Structural Unemployment in the Baltics“. IMF Working Papers 14, Nr. 153 (2014): 1. http://dx.doi.org/10.5089/9781498317207.001.

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26

Martin, R., und P. Sunley. „Unemployment Flow Regimes and Regional Unemployment Disparities“. Environment and Planning A: Economy and Space 31, Nr. 3 (März 1999): 523–50. http://dx.doi.org/10.1068/a310523.

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27

PELLENBARG, PIET H., und PAUL J. M. VAN STEEN. „REGIONAL PATTERNS OF UNEMPLOYMENT AND UNEMPLOYMENT BENEFITS“. Tijdschrift voor economische en sociale geografie 103, Nr. 3 (12.06.2012): 382–83. http://dx.doi.org/10.1111/j.1467-9663.2012.00724.x.

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28

Rogers, Cynthia L. „Expectations of Unemployment Insurance and Unemployment Duration“. Journal of Labor Economics 16, Nr. 3 (Juli 1998): 630–66. http://dx.doi.org/10.1086/209901.

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29

Samuels, W. J. „The Technological Unemployment and Structural Unemployment Debates.“ History of Political Economy 31, Nr. 1 (01.03.1999): 209–10. http://dx.doi.org/10.1215/00182702-31-1-209.

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30

Mocan, H. Naci. „Structural Unemployment, Cyclical Unemployment, and Income Inequality“. Review of Economics and Statistics 81, Nr. 1 (Februar 1999): 122–34. http://dx.doi.org/10.1162/003465399767923872.

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31

Norris, Keith. „Unemployment and the Structure of Unemployment Benefits“. Economic and Labour Relations Review 5, Nr. 1 (Juni 1994): 38–45. http://dx.doi.org/10.1177/103530469400500105.

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Analysis suggests that the higher the replacement ratio, that is the level of unemployment benefit relative to average earnings, the higher the level of unemployment is likely to be. This effect comes about in two main ways. The replacement ratio will influence both the rate of inflow into unemployment and the period for which people remain unemployed. The empirical evidence supports these propositions although the sensitivity of unemployment to changes in the replacement ratio is fairly weak. In the light of equity considerations reducing unemployment benefits as a policy weapon to counteract unemployment is thus not a viable option. Changing the rules relating to part-time earnings and unemployment benefit however could reduce long-term unemployment.

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32

Ilmakunnas, Pekka, und Mika Maliranta. „Hiring from unemployment and separation to unemployment“. Applied Economics Letters 11, Nr. 2 (10.02.2004): 91–95. http://dx.doi.org/10.1080/1350485042000200178.

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33

Ek, Susanne, und Bertil Holmlund. „Part-time unemployment and optimal unemployment insurance“. International Tax and Public Finance 22, Nr. 2 (24.01.2014): 201–23. http://dx.doi.org/10.1007/s10797-013-9301-0.

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34

Goldsmith, Arthur H., und William Darity. „Social psychology, unemployment exposure and equilibrium unemployment“. Journal of Economic Psychology 13, Nr. 3 (September 1992): 449–71. http://dx.doi.org/10.1016/0167-4870(92)90004-q.

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35

Aberg, R. „Equilibrium unemployment, search behaviour and unemployment persistency“. Cambridge Journal of Economics 25, Nr. 2 (01.03.2001): 131–47. http://dx.doi.org/10.1093/cje/25.2.131.

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36

Fallahi, Firouz, Hamed Pourtaghi und Gabriel Rodríguez. „The unemployment rate, unemployment volatility, and crime“. International Journal of Social Economics 39, Nr. 6 (04.05.2012): 440–48. http://dx.doi.org/10.1108/03068291211224937.

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37

Sengupta, Manimay. „Unemployment duration and the measurement of unemployment“. Journal of Economic Inequality 7, Nr. 3 (26.04.2008): 273–94. http://dx.doi.org/10.1007/s10888-008-9082-3.

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38

et al., Januri. „Does COVID-19 affect GDP? A relationship between GDP and unemployment rate“. International Journal of ADVANCED AND APPLIED SCIENCES 9, Nr. 7 (Juli 2022): 9–15. http://dx.doi.org/10.21833/ijaas.2022.07.002.

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This study aims to examine the long-term relationship between the unemployment rate and the growth of domestic product (GDP) in Malaysia, thereby revealing unemployment's impact on GDP. In this COVID-19 pandemic situation, numerous people have lost their jobs. That indirectly increases the unemployment rate which later has a variety of negative consequences on the government, society, and individuals. The Malaysian government has taken a big step in announcing the Movement Control Order (MCO) to slow down the spread of infections. Such decisions have affected the unemployment rate, as some businesses have to reduce their employees and some high-risk companies temporarily closed to stop the spreading of COVID cases. The cointegration test is employed to identify the relationship between the unemployment rate and GDP and then validate it by analyzing the error. Quarterly unemployment rate and GDP data were obtained from the Department of Statistics Malaysia (DOSM) website from the first quarter of 2010 to the fourth quarter of 2020. The study found that the variables were stationary at first differencing and long-run relationships existed among them. According to the empirical findings in this study, long-run and short-run unemployment rates have a high influence on the GDP rate. However, the result contradicted one work in literature that claimed a negative association between GDP and unemployment for the past fifty years. This could have occurred as a result of the worldwide COVID-19 pandemic.

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39

Che-Yahya, Norliza, Nur Ernisha Anis Suraya Mohd Rosdi, Azlul Khalilah Zaghlol und Siti Sarah Alyasa-Gan. „Explaining Youth Unemployment in Malaysia. The Auto-Regressive Distributive Lag (ARDL) Approach“. Advances in Social Sciences Research Journal 11, Nr. 2.2 (06.03.2024): 521–36. http://dx.doi.org/10.14738/assrj.112.2.16429.

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This study examines the influence of macroeconomic factors, namely Gross Domestic Product (GDP), Inflation, Population and Foreign Direct Investment (FDI) on Youth Unemployment in Malaysia from 1991 to 2021 using time series analysis. The data was obtained from World Bank Data and analyzed using EViews software. The time series data was conducted using the Augmented Dickey-Fuller (ADF) test. The Auto-Regressive Distributive Lag (ARDL) approach to cointegration was then employed to determine the short- and long-term analysis of the series. The ARDL bound test analysis indicates that there is a cointegration relationship between macroeconomic factors and youth unemployment. The results suggest that economic growth, inflation, and population have a negative and significant impact on youth unemployment, while foreign direct investment has a positive but insignificant effect on youth unemployment in the long term. Upon analyzing the short-term outcome, it was observed that all factors exhibited a negative correlation and exerted a substantial impact on youth unemployment’s rate.

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40

Tanaka, Yasuhito. „Involuntary Unemployment Under Ongoing Nominal Wage Rate Decline in Overlapping Generations Model“. Studia Universitatis Babes-Bolyai Oeconomica 67, Nr. 1 (01.04.2022): 11–26. http://dx.doi.org/10.2478/subboec-2022-0002.

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Abstract We analyze involuntary unemployment based on consumers’ utility maximization and firms’ profit maximization behavior with ongoing nominal wage rate decline. We consider a three-periods overlapping generations (OLG) model with a childhood period as well as younger and older periods under monopolistic competition with increasing, decreasing or constant returns to scale technology. When there exists involuntary unemploymnet, the nominal wage rate may decline. We examine the existenbce of involuntary unemployment in that model with ongoing mominal wage rate decline (or deflation). Even if the nominal wage rate declines, we have a steady state with involuntary unemployment and constant output and employment. We need budget deficit or budget surplus to maintain the steady state depending on whether real balance effect is positive or negative. Also we examine the possibility to achieve full-employment by fiscal policy.

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41

Addison, John T., und Pedro Portugal. „Unemployment Duration“. Journal of Human Resources XXXVIII, Nr. 1 (2003): 156–91. http://dx.doi.org/10.3368/jhr.xxxviii.1.156.

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42

Neckerman, Kathryn M., und Michael P. Jackson. „Youth Unemployment.“ Contemporary Sociology 16, Nr. 2 (März 1987): 160. http://dx.doi.org/10.2307/2070671.

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43

Mbatha, Ziphozonke Oscar. „Understanding unemployment“. South Asian Journal of Marketing & Management Research 11, Nr. 12 (2021): 66–76. http://dx.doi.org/10.5958/2249-877x.2021.00142.9.

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44

Angerhausen, Julia, Burkhard Hehenkamp und Christian Bayer. „Strategic Unemployment“. Journal of Institutional and Theoretical Economics 166, Nr. 3 (2010): 439. http://dx.doi.org/10.1628/093245610793102107.

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45

Holmlund, Bertil, und Edmond Malinvaud. „Diagnosing Unemployment.“ Economica 62, Nr. 248 (November 1995): 578. http://dx.doi.org/10.2307/2554680.

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46

Arulampalam, Wiji, Paul Gregg und Mary Gregory. „Unemployment Scarring“. Economic Journal 111, Nr. 475 (01.11.2001): F577—F584. http://dx.doi.org/10.1111/1468-0297.00663.

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47

Al-Maalwi, Raneah M., H. A. Ashi und Sarah Al-sheikh. „Unemployment model“. Applied Mathematical Sciences 12, Nr. 21 (2018): 989–1006. http://dx.doi.org/10.12988/ams.2018.87102.

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48

Phillips, Paul, und Edmond Malinvaud. „Diagnosing Unemployment“. Labour / Le Travail 40 (1997): 338. http://dx.doi.org/10.2307/25144207.

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49

Bentolila, Samuel, Olivier J. Blanchard, Lars Calmfors, Guillermo de la Dehesa und Richard Layard. „Spanish Unemployment“. Economic Policy 5, Nr. 10 (April 1990): 233. http://dx.doi.org/10.2307/1344579.

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50

Şahin, Ayşegül, Joseph Song, Giorgio Topa und Giovanni L. Violante. „Mismatch Unemployment“. American Economic Review 104, Nr. 11 (01.11.2014): 3529–64. http://dx.doi.org/10.1257/aer.104.11.3529.

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We develop a framework where mismatch between vacancies and job seekers across sectors translates into higher unemployment by lowering the aggregate job-finding rate. We use this framework to measure the contribution of mismatch to the recent rise in US unemployment by exploiting two sources of cross-sectional data on vacancies, JOLTS and HWOL. Our calculations indicate that mismatch, across industries and three-digit occupations, explains at most one-third of the total observed increase in the unemployment rate. Occupational mismatch has become especially more severe for college graduates, and in the West of the United States. Geographical mismatch unemployment plays no apparent role. (JEL E24, J22, J24, J41, J63)

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