Asymmetric impact of inflation and unemployment on poverty in Pakistan: new evidence from asymmetric ARDL cointegration

References

• Ahlburg, D. A. (1996). Population growth and poverty. In the impact of population growth on well-being in developing countries (pp. 219-258). Springer, Berlin, Heidelberg.
   Google Scholar
• Alesina, A., Baqir, R., & Easterly, W. (1999). Public goods and ethnic divisions. The Quarterly Journal of Economics, 114(4), 1243–1284.
   Web of Science ®Google Scholar
• Ali, S. S., Tahir, S., & Arif, G. (1999). Dynamics of growth, poverty, and inequality in Pakistan. The Pakistan Development Review, 38(4), 837–858.
   Google Scholar
• Amjad, R., & Kemal, A. R. (1997). Macroeconomic policies and their impact on poverty alleviation in Pakistan. The Pakistan Development Review, 36(1), 39–68.
   Google Scholar
• Anoruo, E. A. (2011). Testing for linear and nonlinear causality between crude oil price changes and stock market returns. International Journal of Economic Sciences and Applied Research Provided, 4(3), 75–92. Testing
   Google Scholar
• Apergis, N. (2015). Asymmetric real exchange rate pass-through and poverty in China: Evidence from a nonlinear model. Applied Economics Letters, 22(12), 951–954.
   Web of Science ®Google Scholar
• Awe, A., & Rufus, O. O. (2012). Determinants of income distribution in the Nigeria economy: 1977–2005. International Business and Management, 5(1), 126–137.
   Google Scholar
• Bahmani‐Oskooee, M., & Mohammadian, A. (2016). Asymmetry effects of exchange rate changes on domestic production: Evidence from nonlinear ARDL approach. Australian Economic Papers, 55(3), 181–191.
   Web of Science ®Google Scholar
• Bildirici, M. E., & Turkmen, C. (2015). Nonlinear causality between oil and precious metals. Resources Policy, 46, 202–211.
   Web of Science ®Google Scholar
• Birdsall, N. (1980). Population growth and poverty in the developing world. Population Bulletin, 35, 5.
   Google Scholar
• Birdsall, N., Kelley, A. C., & Sinding, S. W. (2001). Population matters: Demographic change, economic growth, and poverty in the developing world. Oxford University Press.
   Google Scholar
• Braumann, B. (2004). High inflation and real wages. IMF Staff Papers, 51(1), 123–147.
   Google Scholar
• Braun, D. (1988). Multiple measurements of U.S. income inequality. The Review of Economics and Statistics, 70(3), 398.
   Web of Science ®Google Scholar
• Brown, R. L., Durbin, J., & Evans, J. M. (1975). Techniques for testing the constancy of regression relationships over time. Journal of the Royal Statistical Society. Series B (Methodological), 37(2), 149–192.
   Web of Science ®Google Scholar
• Cardoso, E. (1992). Inflation and poverty (No. w4006). National Bureau of Economic Research.
   Google Scholar
• Cevik, E. I., Dibooglu, S., & Barişik, S. (2013). Asymmetry in the unemployment–Output relationship over the business cycle: Evidence from transition economies. Comparative Economic Studies, 55(4), 557–581.
   Google Scholar
• Chaudhry, A., & Chaudhry, T. T. (2008). The effects of rising food and fuel costs in pakistan.
   Google Scholar
• Creedy, J. (1998). The dynamics of inequality and poverty: Comparing income distributions. Cheltenham: Northampton, MA.
   Google Scholar
• Deininger, K., & Squire, L. (1996). A new data set measuring income inequality. The World Bank Economic Review, 10(3), 565–591.
   Web of Science ®Google Scholar
• Easterly, W., & Fischer, S. (2001). Inflation and the poor. Journal of Money, Credit and Banking, 33(2), 160–178.
   Web of Science ®Google Scholar
• Engle, R. F., & Granger, C. W. (1987). Co-integration and error correction: Representation, estimation, and testing. Econometrica: Journal of the Econometric Society, 55(2), 251–276.
   Web of Science ®Google Scholar
• Falk, B. (1986). Further evidence on the asymmetric behavior of economic time series over the business cycle. Journal of Political Economy, 94(5), 1096–1109.
   Web of Science ®Google Scholar
• Gillani, S. Y. M., Rehman, H. U., & Gill, A. R. (2009). Unemployment, poverty, inflation and crime nexus: Cointegration and causality analysis of Pakistan. Pakistan Economic and Social Review, 47(1), 79–98.
   Google Scholar
• Granger, C. W. J., & Yoon, G. (2002). Hidden cointegration. university of California San Diego. Economics Working Paper Series, 2(2002), 1–48.
   Google Scholar
• Gustafsson, B., & Johansson, M. (1999). In search of smoking guns: What makes income inequality vary over time in different countries? American Sociological Review, 64(2), 585–605.
   Web of Science ®Google Scholar
• Holmes, M. J. (2000). Monetary shocks, inflation and the asymmetric adjustment of UK industrial output. Applied Economics Letters, 7(3), 159–163.
   Web of Science ®Google Scholar
• Ibrahim, M. H. (2015). Oil and food prices in Malaysia: A nonlinear ARDL analysis. Agricultural and Food Economics, 3(1), 2.
   Google Scholar
• Ivanic, M., & Martin, W. (2008). Implications of higher global food prices for poverty in low‐income countries. Agricultural Economics, 39(s1), 405–416.
   Web of Science ®Google Scholar
• Jamal, H. (2006). Does inequality matter for poverty reduction? Evidence from Pakistan’s poverty trends. The Pakistan development review, 45(3), 439–459.
   Google Scholar
• Kahneman, D., & Tversky, A. (1979). Prospect theory: An analysis of decisions under risk. Econometrica, 47, 263–291.
   Web of Science ®Google Scholar
• Kamalian, A. R., Pahlavani, M., & Valadkhani, A. (2010). Modelling the asymmetric effects of inflation on real investment in Iran, 1959–2008. Applied Econometrics and International Development, 10, 1.
   Google Scholar
• Katrakilidis, C., & Trachanas, E. (2012). What drives housing price dynamics in Greece: New evidence from asymmetric ARDL cointegration. Economic Modelling, 29(4), 1064–1069.
   Web of Science ®Google Scholar
• Koutroulis, A., Panagopoulos, Y., & Tsouma, E. (2016). Asymmetry in the response of unemployment to output changes in Greece: Evidence from hidden co-integration. The Journal of Economic Asymmetries, 13, 81–88.
   Google Scholar
• Kuan-Min, W., & Yuan-Ming, L. (2008). Asymmetric inflation hedge of housing return: A non-linear vector error correction approach. International Real Estate Review, 11(1), 65–82.
   Google Scholar
• Levernier, W., Partridge, M. D., & Rickman, D. S. (2000). The causes of regional variations in U.S. Poverty: A cross-county analysis. Journal of Regional Science, 40(3), 473–497.
   Web of Science ®Google Scholar
• Lipton, M., & Ravallion, M. (1995). Chapter 41 poverty and policy. Handbook of Development Economics, 3, 2551–2657.
   Google Scholar
• Lundberge, M., & Squire, L. (1998). The Simultaneous Evolution of Growth and Inequality (Mimeo). World Bank.
   Google Scholar
• Malik, M. H. (1996). Urban poverty alleviation through development of the informal sector. Asia Pacific Development Journal, 3(2), 31–48.
   Google Scholar
• Mayer, D., Mora, H., Cermeño, R., Barona, A. B., & Duryeau, S. (2001). Health. Growth and Income Distribution in Latin America and the Caribbean: A Study of Determinants and Regional Local Behavior. Investment in Health: Social and Economic Returns, 582(4), 3–32.
   Google Scholar
• Mehrara, M., & Mohammadian, M. (2015). The determinants of gini coefficient in iran based on bayesian model averaging. Hyperion Economic Journal, 3(1), 20–28.
   Google Scholar
• Meo, M. S., Chowdhury, M. A. F., Shaikh, G. M., Ali, M., & Masood Sheikh, S. (2018). Asymmetric impact of oil prices, exchange rate, and inflation on tourism demand in Pakistan: New evidence from nonlinear ARDL. Asia Pacific Journal of Tourism Research, 23(4), 408–422.
   Web of Science ®Google Scholar
• Messner, S. F. (1982). Poverty, inequality, and the urban homicide rate: Some unexpected findings. Criminology, 20(1), 103–114.
   Web of Science ®Google Scholar
• Neftci, S. N. (1984). Are economic time series asymmetric over the business cycle? Journal of Political Economy, 92(2), 307–328.
   Web of Science ®Google Scholar
• Odeh, M. A., & Okoye, C. (2014). Poverty reduction policy and youth unemployment in Nigeria. Public Policy and Administration Research, 3(4), 92–103.
   Google Scholar
• Odhiambo, N. M. (2009). Finance-growth-poverty nexus in South Africa: A dynamic causality linkage. The Journal of Socio-Economics, 38(2), 320–325.
   Google Scholar
• Oduwole, T. A. (2015). Youth unemployment and poverty in Nigeria. International Journal of Sociology and Anthropology Research, 1(2), 23–39.
   Google Scholar
• Organization, W. H. (2004). The impact of health expenditure on households and options for alternative financing.
   Google Scholar
• Pervez, S., & Rizvi, S. B. U. H. (2014). An empirical analysis on determinants of poverty: A co-integration analysis. Issues (National Council of State Boards of Nursing (U.S.)), 2, 1.
   Google Scholar
• Pesaran, M. H., & Pesaran, B. (1997). Working with microfit 4.0: Interactive econometric analysis;[Windows version]. Oxford University Press.
   Google Scholar
• Pesaran, M. H., Shin, Y., & Smith, R. J. (2001). Bounds testing approaches to the analysis of level relationships. Journal of Applied Econometrics, 16(3), 289–326.
   Web of Science ®Google Scholar
• Powers, E. T. (1995). Growth and poverty revisited. Economic Commentary, 32, 79–85.
   Google Scholar
• Rana, S. (2016). 40% Pakistanis live in poverty, from https://tribune.com.pk/story/1126706/40-pakistanis-live-poverty/
   Google Scholar
• Ravallion, M. (1998). Reform, food prices and poverty in India. Economic and Political Weekly, 33(2), 29-36.
   Google Scholar
• Ravallion, M., & Datt, G. (2002). Why has economic growth been more pro-poor in some states of India than others? Journal of Development Economics, 68(2), 381–400.
   Web of Science ®Google Scholar
• Rodgers, G. (1984). Poverty and population: Approaches and evidence.
   Google Scholar
• Romilly, P., Song, H., & Liu, X. (2001). Car ownership and use in Britain: A comparison of the empirical results of alternative cointegration estimation methods and forecasts. Applied Economics, 33(14), 1803–1818.
   Web of Science ®Google Scholar
• Rupasingha, A., & Goetz, S. J. (2007). Social and political forces as determinants of poverty: A spatial analysis. The Journal of Socio-Economics, 36(4), 650–671.
   Google Scholar
• Sarel, M. M. (1997). How macroeconomic factors affect income distribution: The cross-country evidence (No. 97-152). International Monetary Fund.
   Google Scholar
• Sen, A. (1976). Poverty: an ordinal approach to measurement. Econometrica: Journal of the Econometric Society, 44(2), 219–231.
   Web of Science ®Google Scholar
• Shiller, R. J. (2005). Irrational exuberance (2nd ed.). Princeton, NJ: Princeton University.
   Google Scholar
• Shin, Y., Yu, B., & Greenwood-Nimmo, M. (2014). Modelling asymmetric cointegration and dynamic multipliers in a nonlinear ARDL framework. In Festschrift in Honor of Peter Schmidt (pp. 281–314). New York, NY: Springer.
   Google Scholar
• Stark, O., Micevska, M., & Mycielski, J. (2009). Relative poverty as a determinant of migration: Evidence from Poland. Economics Letters, 103(3), 119–122.
   Web of Science ®Google Scholar
• Talukdar, S. R. (2012). The effect of inflation on poverty in developing countries: A panel data analysis (Doctoral dissertation).
   Google Scholar
• Wodon, Q. (1999). Growth, poverty and Inequality: A regional panel for Bangladesh. Washington, D.C.: World Bank.
   Google Scholar
• Word bank. (2012, February 29). Bank sees progress against extreme poverty, but flags vulnerabilities. The World bank.
   Google Scholar
• World Bank. (30 March, 2013). Poverty and equity - India, 2010 world bank country profile. 2012 Retrieved Povertydata.worldbank.org
   Google Scholar
• WPC. (24 October. 2011). World population clock. Worldometers. Retrieved
   Google Scholar
• Yousaf, H., & Ali, I. (2014). Determinants of poverty in Pakistan. International Journal of Economics and Empirical Research (IJEER), 2(5), 191–202.
   Google Scholar