Skip to main content

Advertisement

Log in

Poverty and the business cycle: A regional panel data analysis for Spain using alternative measures of unemployment

  • Published:
The Journal of Economic Inequality Aims and scope Submit manuscript

Abstract

Conventional wisdom predicts that changes in the aggregate unemployment rate may significantly affect a country’s income distribution and, consequently, have a relevant impact on the evolution of its poverty rate. However, the relationship between labour macroeconomic indicators and poverty seems to have become weaker recently. Using panel data on unemployment and poverty for Spanish regions, we estimate a system GMM model to model this relationship using alternative measures of the unemployment rate. We also test the hypothesis of asymmetric effects of the business cycle on the share of poor individuals in the population. Our results show that unemployment has a positive impact on severe poverty, while inflation has a negative effect. We also highlight the extent to which results differ when alternative intra-household unemployment distribution-sensitive measures are considered. Regarding the existence of asymmetric business cycle effects on severe poverty, our results show that despite the fact that the Great Recession has had a strong and positive effect on severe poverty, the effects of expansions and recessions on poverty are not significantly different.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  • Aaron, H.: The foundations of the “War on Poverty” re-examined. Am. Econ. Rev. 57, 1229–1240 (1967)

    Google Scholar 

  • Arellano, M.: Panel Data Econometrics Oxford. Oxford University Press (2003)

  • Arellano, M., Bond, S.: Some tests of specification for panel data: Monte carlo evidence and an application to employment equations. Rev. Econ. Stud. 58, 277–297 (1991)

    Article  Google Scholar 

  • Arellano, M., Bover, O.: Another look at the instrumental-variable estimation of error-components models. J. Econ. 68, 29–52 (1995)

    Article  Google Scholar 

  • Ayala, L., Martínez, R., Navarro, C., Sastre, M.: Desigualdad y pobreza en España: tendencias y factores de cambio, in Ayala, L. (dir.) Desigualdad pobreza y privación en España (director). Madrid: Fundación FOESSA (2009)

  • Ayala, L., Jurado, A., Pérez-Mayo, J.: Income poverty and multidimensional deprivation: Lessons from cross-regional analysis . Rev. Income Wealth 57, 40–60 (2011)

    Article  Google Scholar 

  • Baltagi, B.H.: Econometric Analysis of Panel Data. New Jersey. Wiley (2008)

  • Björklund, A.: Unemployment and income distribution: time-series evidence from Sweden. Scand. J. Econ. 93, 457–465 (1991)

    Article  Google Scholar 

  • Blank, R.: Economic change and the structure of opportunity for less-skilled workers. In: Cancian, M., Danziger, S. (eds.) Changing Poverty, Changing Policy. New York: Russell Sage Foundation (2009)

  • Blank, R.M., Blinder, A.S.: Macroeconomics, income distribution, and poverty. In: Danziger, S. (ed.) Fighting Poverty: What Works and What Does Not. Cambridge: Harvard University Press (1986)

  • Blank, R.M., Card, D.: Poverty, income distribution, and growth: Are they still connected? Brook. Pap. Econ. Act. 2, 285–339 (1993)

    Article  Google Scholar 

  • Blank, R., Kovak, B.: The growing problem of disconnected single mothers. National Poverty Center Working Paper 2007-28. University of Michigan, NPC, Ann Arbor (2008)

  • Blinder, A.S., Esaki, H.Y.: Macroeconomic activity and income distribution in the post war United States. Rev. Econ. Stat. 60, 604–609 (1978)

    Article  Google Scholar 

  • Blundell, R., Bond, S.: Initial conditions and moment restrictions in dynamic panel data models. J. Econ. 87, 115–143 (1998)

    Article  Google Scholar 

  • Blundell, R.W., Bond, S.R., Windmeijer, F.: Estimation in dynamic panel data models: improving on the performance of the standard GMM estimator. In: Baltagi, B. (ed.) Nonstationary Panels, Panel Cointegration, and Dynamic Panels Advances in Econometrics Vol. 15. JAI Press, Elsevier Science, Amsterdam (2000)

  • Bond, S.: Dynamic panel data models: a guide to microdata methods and practice. Port. Econ. J. 1, 141–162 (2002)

    Article  Google Scholar 

  • Bond, S., Hoeffler, A., Temple, J.: GMM estimation of empirical growth models, Economics Papers 2001-W2 1 Economics Group. Nuffield College, University of Oxford (2001)

  • Bubbico, R.L., Dijkstra, L: The European regional Human Development and Human Poverty Indices. Regional Focus, n 02/2011 (2011)

  • Burgess, S., Gardiner, K., Propper, C.: Why rising tides don’t lift all boats? An explanation of the relationship between poverty and unemployment in Britain, CASE Papers 46, Centre for Analysis of Social Exclusion, LSE (2001)

  • Buse, A.: The cyclical behavior of the size distribution of income in Canada 1947–1978. Can. J. Econ. 15, 189–204 (1982)

    Article  Google Scholar 

  • Cantó O., Del Río, C., Gradín, C.: La evolución de la pobreza estática y dinámica en españa en el período 1985–1995. Hacienda Pública Española, 87–119 (2003)

  • Cutler, D.M., Katz, L.F.: Macroeconomic performance and the disadvantaged. Brook. Pap. Econ. Act. 2, 1–74 (1991)

    Article  Google Scholar 

  • Dorand, H.E., Schmidt, P.: GMM Estimator with improved finite sample properties using principal components of the weighting matrix, with an application to the dynamic panel data models. J. Econ. 133, 387–409 (2006)

    Article  Google Scholar 

  • Edelman, P.B., Holzer, H.J.: Connecting the disconnected: Improving education and employment outcomes among disadvantaged Youth. Institute for research on Poverty, Discussion Paper No. 1412-13. University of Wisconsin-Madison (2013)

  • Farré, L., Vella, F.: Macroeconomic conditions and the distribution of income in Spain. Labour 22, 383–410 (2008)

    Article  Google Scholar 

  • Freeman, R.: The rising tide lifts....?. In: Danziger, S., Haveman, R. (eds.) Understanding Poverty. Cambridge, MA: Harvard University Press (2001)

  • Galloway, L.: The foundations of the “War on Poverty”. Am. Econ. Rev. 55, 122–131 (1965)

    Google Scholar 

  • Gregg, P., Wadsworth, J.: More work in fewer households?. In: Hills, J. (ed.) New Inequalities Cambridge: Cambridge University Press, 181-207 (1996)

  • Gregg, P., Scutella, R., Wadsworth, J.: Reconciling workless measures at the individual and household level. J. Popul. Econ. 23, 139–167 (2010)

    Article  Google Scholar 

  • Gorja Bartsch, G., Scirankova, D.: Large differences in regional labour markets show asymmetric impact of the economic crisis. Eurostat, Statistics in focus 54(2012) (2012)

  • Gundersen, C., Ziliak, J.: Poverty and macroeconomic performance across space, race, and family structure. Demography 41, 61–86 (2004)

    Article  Google Scholar 

  • Haveman, R., Schwabish, J.: Has macroeconomic performance regained its antipoverty bite? Contemp. Econ. Policy 18, 415–27 (2000)

    Article  Google Scholar 

  • Hines, J.R., Hoynes, H., Krueger, A.: Another Look at Whether a Rising Tide Lifts All Boats. In: Krueger, A., Solow, R. (eds.) The Roaring Nineties: Can Full Employment Be Sustained? New York: Russell Sage Foundation (2001)

  • Hsiao, C.: Analysis of panel data. Cambridge University Press (2002)

  • Iceland, J.: Why Poverty Remains 1igh: The Role of Income Growth, Economic Inequality, and Changes in Family Structure, 1949-1999. Demography 40, 499–519 (2003)

    Article  Google Scholar 

  • Im, K.S., Pesaran, M.H., Shin, Y.: Testing for unit roots in heterogeneous panels. J. Econ. 115, 53–74 (2003)

    Article  Google Scholar 

  • Isaacs, J.: Child poverty during the great recession: Predicting state child poverty rates for 2010. Institute for Research on Poverty DP, 1389–11 (2011)

  • Jäntti, M.: A more efficient estimate of the effects of macroeconomic activity on the distribution of income. Rev. Econ. Stat. 76, 372–378 (1994)

    Article  Google Scholar 

  • Jäntti, M., Jenkins, S.P: The impact of macroeconomic conditions on income inequality. J. Econ. Inequal. 8, 221–240 (2010)

    Article  Google Scholar 

  • Krueger, A.: Convergence and disparities in regional Gross Domestic Product. Eurostat, Statistics in focus 46(2011) (2012)

  • Levin, A., Lin, C.F., Chu, C.: Unit root test in panel data: asymptotic and finite sample properties. J. Econ. 108, 1–24 (2002)

    Article  Google Scholar 

  • Malinen, T.: Inequality, savings and consumption: a reassessment of the relationship in cointegrated panels. Appl. Econ. Q. 59, 235–251 (2013a)

  • Malinen, T.: Inequality and growth: another look with a new measure and method. J. Int. Dev. 25, 122–138 (2013b)

  • Metcalf, C.E.: The size distribution of personal income during the business cycle. Am. Econ. Rev. 59, 657–668 (1969)

    Google Scholar 

  • Meyer, B.D., Sullivan, J.X.: Consumption and income poverty over the business cycle. NBER Working Paper, 16751 (2011)

  • Mirer, T.W.: The effects of macroeconomic fluctuation on the distribution of income. Rev. Income Wealth 19, 385–405 (1973)

    Article  Google Scholar 

  • Mocan, H.N.: Structural unemployment, cyclical unemployment, and income inequality. Rev. Econ. Stat. 81, 122–134 (1999)

    Article  Google Scholar 

  • Monea, E., Sawhill, I.: Simulating the effect of the “Great Recession” on poverty. Washington DC: Brookings Institution, Center on Children and Families (2009)

  • Nolan, B.: Income Distribution and the Macroeconomy. Cambridge University Press, Cambridge (1987)

  • OECD: OECD Employment Outlook Paris: OECD (2001)

  • Parker, S.C.: Opening a can of worms: the pitfalls of time-series regression analyses of income inequality. Appl. Econ. 32, 221–230 (2000)

    Article  Google Scholar 

  • Pedroni, P.: Panel cointegration: asymptotic and finite sample properties of pooled time series tests with an application to the PPP hypothesis. Economet. Theor. 20, 597–625 (2004)

    Article  Google Scholar 

  • Pesaran, H.: A simple panel unit root test in the presence of cross section dependence. J. Appl. Econ. 22, 265–315 (2007)

    Article  Google Scholar 

  • Roodman, D.: How to do xtabond2: An introduction to difference and system GMM in Stata. Stata J. 9, 86–136 (2009a)

  • Roodman, D.: A note on the theme of too many instruments. Oxf. Bull. Econ. Stat. 71, 135–158 (2009b)

  • Ruud, P.A.: Classical Econometrics. Oxford University Press, New York (2000)

  • Smeeding, T., Thompson, J.P., Levanon, A., Burak, E.: Income, inequality, and poverty over the early stages of the Great Recession. In: Grusky, D., Western, B., Wimer, C. (eds.) The Great Recession, New York: Russell Sage Foundation (2011)

  • Thurow, L.C.: Analyzing the American income distribution. Am. Econ. Rev. 60, 261–269 (1970)

    Google Scholar 

  • Turner, L., Danziger, S., Seefeldt, K.S.: Failing the transition from welfare to work: Women disconnected from work, welfare, and other sources of economic support. Soc. Sci. Q. 87, 227–249 (2006)

    Article  Google Scholar 

  • Westerlund, J.: Testing for error correction in panel data. Oxf. Bull. Econ. Stat. 69, 709–748 (2007)

    Article  Google Scholar 

  • White, H., Granger, C.W.J.: Consideration of trends in time series. Journal of Time Series Econometrics 3, 1–38 (2010)

    Google Scholar 

  • Windmeijer, F.: A finite sample correction for the variance of linear efficient two-step GMM estimators. J. Econ. 126, 25–51 (2005)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Luis Ayala.

Electronic supplementary material

Below is the link to the electronic supplementary material.

(PDF 2.29 MB)

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Ayala, L., Cantó, O. & Rodríguez, J.G. Poverty and the business cycle: A regional panel data analysis for Spain using alternative measures of unemployment. J Econ Inequal 15, 47–73 (2017). https://doi.org/10.1007/s10888-016-9343-5

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10888-016-9343-5

Keywords

Navigation