scholarly journals An Empirical Examination of Relative Income Hypothesis: Evidence from Pakistan

2021 ◽  
Vol 13 (1) ◽  
pp. 1-18
Author(s):  
Mehr u Nisa Ishtiaq ◽  
Tahira Tauheed ◽  
Isma Ishtiaq

The present study empirically investigates the relevance of the various specifications of relative Income hypothesis (RIH) in the case of Pakistan. World Development Indicators’ data is analyzed over the period of 1986 to 2016. This study tests the existence of income, consumption, and habit ratchet effects at the National level. Based on stationarity tests the techniques of Box Jenkin, Two Stage Least Square, Generalized Methods of Moments, and Limited Information Maximum Likelihood Method are utilized to estimate the four versions of relative income hypothesis. Findings of this research validate the significant prevalence of three types of ratchet effects in case of Pakistan. In Duesenberry-Eckstein-Formm (DEF) model, habit ratchet effect is found to be stronger than income ratchet effect. Whereas in modified Davis model Consumption ratchet effect exceeds the habit ratchet effect. It is observed that long run marginal propensities to consume are closer to one which demonstrates smooth consumption behavior over long period in Pakistan. The estimated short run marginal propensities to consume are observed to be less than long run marginal propensities to consume that accords with the existing consumption theory. These findings imply that all ratchet effects put pressure upon consumers to maintain the highest standard of living enjoyed in the past. In this process households do not retain balance between savings and consumption. Based on these findings, it is suggested to consider the impact of societal factor in formulating policies to shape the consumption patterns.

2020 ◽  
Author(s):  
Tazeb Bisset ◽  
Dagmawe Tenaw

Abstract Although it was mysteriously neglected and displaced by the mainstream consumption theories, the Duesenberry’s relative income hypothesis seems quite relevant to the modern societies where individuals are increasingly obsessed with their social status. Accordingly, this study aims to investigate the relevance of Duesenberry’s demonstration and ratchet effects in Ethiopia using a quarterly data from 1999/2000Q1-2018/19Q4. To this end, two specifications of relative income hypothesis are estimated using Autoregressive Distributed Lag (ARDL) regression model. The results confirm a backward-J shaped demonstration effect. This implies that an increase in relative income induces a steeper reduction in Average Propensity to consume (APC) at lower income groups (the demonstration effect is stronger for lower income households). The results also support the ratchet effect, indicating the importance of past consumption habits for current consumption decisions. In resolving the consumption puzzle, the presence of demonstration and ratchet effects reflects a stable APC in the long-run. Hence, consumption-related policies should be carefully designed as polices aimed at boosting aggregate demand can motivate low income households to gallop into wasteful competition so as to ‘keep up with the Joneses’—the relative riches.


1983 ◽  
Vol 25 (2) ◽  
pp. 153-161 ◽  
Author(s):  
Noah M. Meltz ◽  
Frank Reid

The Canadian Government has introduced a work-sharing program in which lay offs are avoided by reducing the work week and using unemployment insurance funds to pay workers short-time compensation. Compared to the lay-off alternative, there appear to be economic benefits to work-sharing for both management and employees. Reaction to the scheme has been generally positive at the union local level and the firm level, but it has been negative at the national level of both labour and management. These divergent views can be explained mainly as a result of short-run versus long-run perspectives. Managers at the firm level see the immediate benefit of improved labour relations and the avoidance of the costs of hiring and training replacements for laid-off workers who do not respond when recalled. The national business leaders are more concerned with work incentive and efficiency aspects of work-sharing.


2018 ◽  
Vol 12 (2) ◽  
pp. 151-161 ◽  
Author(s):  
Muhammad Tahir ◽  
SAF Hasnu ◽  
Mario Ruiz Estrada

Purpose Trade openness plays a significant role in the growth process of countries. The purpose of this paper is to examine the impact of macroeconomic determinants on the trade openness of countries. Design/methodology/approach The study focuses on the South Asian Association for Regional Cooperation (SAARC) member countries and the data used were from 1971 to 2011. Panel data econometrics techniques and two stages least square method (TSLS) are used to carry out empirical analysis and robustness testing. Findings The main finding of the paper is that macroeconomic determinants such as investment both in physical and human capital and per capita gross domestic product (GDP) positively affect trade openness. Further, the size of labour force and currency exchange rate has also impacted trade openness negatively and significantly. Practical implications It implies that efficient macroeconomic management matters for higher trade openness. The sampled developing countries are suggested to pay favourable attention to macroeconomic variables if they want to grow in the long run through outward-oriented policies. Originality/value This paper is an original contribution in the context of SAARC countries by focusing on the relationship between macroeconomic determinants and trade openness.


Author(s):  
Muhammad Usman

The goal of this study is to explore the impact of high tech exports on economic growth of Pakistan. To examine this relationship, data are collected from World Bank database, State Bank of Pakistan data source and Statistical Bureau of Pakistan. Time span of study is consisting of 20 years from 1995 to 2014. By using ordinary least square (OLS) with robust standard error, results confirm that there is a positive and statistically significant impact of high tech exports on economic growth. Although Pakistan is an agriculture country and its economic growth is largely depend upon farming, but for long run economic growth, Pakistan has to increase its high tech exports.


Author(s):  
Friday Osaru Ovenseri Ogbomo ◽  
Precious Imuwahen Ajoonu

This paper examined the impact of Exchange Rate Management on economic growth in Nigeria between 1980 and 2015. The study was set to gauge how the management of exchange rate in Nigeria has impacted the economy. The study employed the Ordinary Least Square (OLS) method in its analysis. Co-integration and Error Correction Techniques were used to establish the Short-run and Long-run relationships between economic growth and other relevant economic indicators. The result revealed that exchange rate management proxy by various exchange rates regimes in Nigeria was not germane to economic growth. Rather, government expenditure, inflation rate, money supply and foreign direct investment significantly impact on economic growth in Nigeria. It is against this backdrop that the Nigerian economy must diversify her export base to create room for more inflow of foreign exchange.  


2020 ◽  
Vol 67 (3) ◽  
pp. 333-362
Author(s):  
Larysa Yakymova

This paper seeks to answer whether the general patterns and drivers of the sectoral employment shifts depend on a country’s level of development. To accomplish this, we examined employment in Germany, Hungary, Poland, Romania and Ukraine at the national level (1998-2018) using econometric analysis, and at the regional NUTS2 level (2009-2018) using shift-share analysis. We obtained evidence that the general trend is the service sector expansion. Using the ARDL approach and the Granger causality test, we identified long-run unidirectional causality running from income proxies to employment in services in all countries except Romania, where the opposite causality was found. We revealed that household income moderates the impact of urbanization on service sector growth in all countries except Poland. At the regional level, the change in the employment rate in services is explained by the national growth effect and slightly by the industry-mix effect if the active phase of structural changes is completed.


2016 ◽  
Vol 6 (4) ◽  
pp. 101-116
Author(s):  
Srinivasa Rao Gangadharan ◽  
Lakshmi Padmakumari

This study is an empirical investigation to assess the impact of domestic debt on India’s Economic growth during the period 1980 – 2014. We use data on Domestic Debt, Net Fiscal Deficit, Exports, Savings, Real Gross Domestic Product, Population and Terms of Trade. This study adopts the ARDL Co-Integration and Granger Causality techniques to investigate the relation between the key variables. The study also employs various post estimation tests to validate the fitness and stability of the models based on Gauss Markov assumptions, after employing the ordinary least square regression on various models. We find that debt negatively impacts economic growth while savings has a positive impact. The Auto Regressive Distributed Lag (ARDL) technique used to test the robustness suggests existence of co-integration among the variables. However, none of the long run co-efficient is significant. The granger causality and co-integration test results support the traditional view that debt negatively impacts economic growth.


2020 ◽  
Vol 12 (7) ◽  
pp. 2930 ◽  
Author(s):  
Rabail Amna Intisar ◽  
Muhammad Rizwan Yaseen ◽  
Rakhshanda Kousar ◽  
Muhammad Usman ◽  
Muhammad Sohail Amjad Makhdum

The aim of this study is to analyze the impact of trade openness and human capital on economic growth in 19 Asian countries from 1985 to 2017. We selected two geographically distributed regions (Western and Southern Asia) based on difference in their GDP per capita. We applied the unit root tests to examine the level of stationarity and found that all variables were integrated at first difference. Kao and Fisher cointegration tests were employed and the results revealed the presence of a long-run relationship. We applied fully modified ordinary least square (FMOLS) and dynamic ordinary least square (DOLS) models to check the magnitude of the long-run coefficients among trade openness, human capital and economic growth. To investigate the direction of causality, we used a Dumitrescu and Hurlin (DH) causality test. The results indicated that trade openness and human capital have a significant and positive relationship while labor force participation has a negative effect on economic growth in Southern Asia, and in the case of Western Asia, the impact is positive. Foreign direct investment (FDI) has a negative and significant impact on GDP per capita (GDPPC) in Western Asia while it is positive and significant in Southern Asia; Total population (TPOP) has a negative impact on GDPPC in both regions. Furthermore, human capital has a positive and significant impact on trade openness in both panels. Meanwhile, labor force participation (LFP) has a positive and significant impact on trade openness in Southern Asia and a negative impact in the case of Western Asia. Trade openness and economic growth have bidirectional causality in Western Asia and unidirectional causality in Southern Asia. It also shows that human capital and economic growth have unidirectional causality in both regions.


2019 ◽  
Vol 15 (3) ◽  
pp. 167-188
Author(s):  
Bimal Sarkar

Bangladesh being over populated is a cheap less-skilled and semi-skilled labor supplier country in the world and earning huge remittances from the abroad. This paper attempts to examine the dynamic effects of remittances on some important macroeconomic variables like consumption, investment, imports and economic growth in both the short and the long run in Bangladesh covering a period (1977-2014) following Nicholas P.Glytsos (2002) of Keynesian-type econometric model. The study finds using two-stage least square (2SLS) technique that one Taka increase in remittances contributes 3.15 Taka in income in Bangladesh through the impact multiplier as well as dynamic multipliers from the first year to seventh year.


2021 ◽  
Vol 10 (1) ◽  
pp. 136
Author(s):  
Maha Elhini ◽  
Rasha Hammam

This paper employs structural growth perspective to the analysis of income inequality in 43 countries over the period 2003-2017.The study utilizes two different panel estimation techniques. First, the panel least squares regression examines the relevance of Kuznets effect of the different economic sectors; agriculture, manufacturing and services on income inequality. Second, the pooled mean group (PMG) estimation of dynamic heterogeneous panels gauges the long run impact of the change in sectoral value added as a proxy for structural change on inequality. PMG presents short run adjustments to be country-specific due to the widely different impacts of macroeconomic conditions and vulnerability of each country to income inequality. Empirical findings show that across all countries, sector growth had no to negligible impact on inequality indicating that no signs are evident of Kuznets effect. However, both inflation and unemployment have mixed impacts on inequality in Lower and Middle-Income countries. Results further reveal that unemployment has a relatively stronger influence on inequality than inflation for Upper-middle income countries, unlike in Lower-middle income countries, where unemployment shows a weaker correlation with inequality than inflation. Results for High-income countries show that the influence between inflation and unemployment are not as big as in Upper middle-income countries.


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