Showing posts with label Inclusive Growth.   Show all posts

COVID-19 and the Okun’s law: the case of Ghana

From a paper by Amaama Abdul Malik and Asad Ul Islam Khan:

“The Covid 19 pandemic was a strong shock that plummeted into the entire interconnected economic activities of the world. As a result of the lockdown associated with the pandemic, the economies of the world were affected through restrictions like lockdown leading to the reduction of economic indicators like Gross Domestic Product (GDP) and increase in Unemployment. This paper set out to look at the relationship between the GDP and unemployment in Ghana in the periods prior and during the covid pandemic. The Autoregressive Distributed Lag (ARDL) model was used on data from 1991 to 2021. The result shows the nonexistence of the Okun’s law in Ghana in each of these periods. We conclude by advising policy makers to implement policies that directly generate more jobs like improvement in the agriculture sector through training and financial support to enable increased employment to match the increase in economic growth.”

From a paper by Amaama Abdul Malik and Asad Ul Islam Khan:

“The Covid 19 pandemic was a strong shock that plummeted into the entire interconnected economic activities of the world. As a result of the lockdown associated with the pandemic, the economies of the world were affected through restrictions like lockdown leading to the reduction of economic indicators like Gross Domestic Product (GDP) and increase in Unemployment. This paper set out to look at the relationship between the GDP and unemployment in Ghana in the periods prior and during the covid pandemic.

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Posted by at 2:22 PM

Labels: Inclusive Growth

How Do Macroaggregates and Income Distribution Interact Dynamically? A Novel Structural Mixed Autoregression with Aggregate and Functional Variables

From a paper by Yoosoon Chang, Soyoung Kim, Joon Y. Park:

“This paper investigates the interactions between macroeconomic aggregates and income distribution by developing a structural VAR model with functional variables. With this novel empirical approach, we are able to identify and analyze the effects of various shocks to the income distribution on macro aggregates, as well as the effects of macroeconomic shocks on the income distribution. Our main findings are as follows: First, contractionary monetary policy shocks reduce income inequality when focusing solely on the redistributive effects, without considering the negative impact on aggregate income levels. This improvement is achieved by reducing the number of low and high-income families while increasing the proportion of middle-income families. However, when the aggregate income shift is also taken into account, contractionary monetary policy shocks worsen income inequality. Second, shocks to the income distribution have a substantial effect on output fluctuations. For example, income distribution shocks identified to maximize future output levels have a significant and persistent positive effect on output, contributing up to 30% at long horizons and over 50% for the lowest income percentiles. However, alternative income distribution shocks identified to minimize the future Gini index do not have any significant negative effects on output. This finding, combined with the positive effect of output-maximizing income distribution shocks on equality, suggests that properly designed redistributive policies are not subject to the often-claimed trade-off between growth and equality. Moreover, variations in income distribution are primarily explained by shocks to the income distribution itself, rather than by aggregate shocks, including monetary shocks. This highlights the need for redistributive policies to substantially alter the income distribution and reduce inequality.”

From a paper by Yoosoon Chang, Soyoung Kim, Joon Y. Park:

“This paper investigates the interactions between macroeconomic aggregates and income distribution by developing a structural VAR model with functional variables. With this novel empirical approach, we are able to identify and analyze the effects of various shocks to the income distribution on macro aggregates, as well as the effects of macroeconomic shocks on the income distribution. Our main findings are as follows: First,

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Posted by at 7:05 AM

Labels: Inclusive Growth

Nonlinearity in the nexus between financial development and wealth inequality

From a paper by Dong-Hyeon Kim, Peiyao Liu, Shu-Chin Lin:

“Rising income and wealth inequality have renewed interest in their determinants, positioning the financial sector as a central focus of the ongoing debate. Nevertheless, controversy persists regarding the relationship between financial development and economic inequality. While much of the empirical literature focuses on income inequality, wealth inequality has received comparatively less attention. Given the extreme concentration of wealth and its influence on economic opportunity and political power, this paper explores whether it is excessive or insufficient financial development that contributes to the widening disparities in wealth distribution. Using a cross-country panel data framework, the study finds that financial development exacerbates wealth inequality by increasing wealth concentration at the top and diminishing wealth shares in the bottom 50% up to a certain threshold. Beyond this point, financial development results in a reduction of top wealth shares and an increase in the wealth shares of the bottom 50%, thereby narrowing wealth inequality. A similar pattern is observed for income inequality. Pathway analyses indicate that these effects are partially mediated through entrepreneurship. Insufficient financial development adversely impacts both wealth and income distribution.”

From a paper by Dong-Hyeon Kim, Peiyao Liu, Shu-Chin Lin:

“Rising income and wealth inequality have renewed interest in their determinants, positioning the financial sector as a central focus of the ongoing debate. Nevertheless, controversy persists regarding the relationship between financial development and economic inequality. While much of the empirical literature focuses on income inequality, wealth inequality has received comparatively less attention. Given the extreme concentration of wealth and its influence on economic opportunity and political power,

Read the full article…

Posted by at 3:45 PM

Labels: Inclusive Growth

The New Vulnerable: Changing Contexts of Food Insecurity in the United States

From a paper by Liesel A. Ritchie, Susan L. Cutter, Nnenia Campbell, Melanie Gall:

“In the United States, segments of the population were suddenly and unexpectedly thrown into need during the COVID-19 pandemic and began to use food banks and other non-profit organizations providing food services. Here we examine the meaning of what we call the “new vulnerable.” The pandemic became a test of the entire food system, and clearly exposed the need for a re-examination of preparedness in the short run, and vulnerability and resilience in the long term. We explore whether the demographics associated with the drivers of vulnerability (e.g., ageism, racism, ethnocentrism) have changed. The lived experiences of vulnerable groups are defined by a form of epistemic and structural injustice—the dismissal of the knowledge of their own lives and needs that socially marginalized groups experience.”

From a paper by Liesel A. Ritchie, Susan L. Cutter, Nnenia Campbell, Melanie Gall:

“In the United States, segments of the population were suddenly and unexpectedly thrown into need during the COVID-19 pandemic and began to use food banks and other non-profit organizations providing food services. Here we examine the meaning of what we call the “new vulnerable.” The pandemic became a test of the entire food system,

Read the full article…

Posted by at 8:26 AM

Labels: Inclusive Growth

Decline of Interest Rates under Inflation Targeting and Previous Regimes: Evidence from Latin America and Developed Countries

From a paper by Sergio Julio Chión-Chacón and Kevin Antonio Álvarez García:

“This study empirically investigates the impact of Inflation Targeting (IT) on nominal interest rates over the past 40 years, focusing on 10 advanced and emerging economies. By using a Binary Regime Model embedded within a Backward-Looking Taylor, our findings confirm that IT adoption has significantly contributed to reducing interest rates, with the strongest effects observed in Latin American countries. To reinforce these results, we incorporate Smooth Transition Regression (STR) models, with and without instrumental variables, allowing for a more suitable representation of gradual policy transitions. The STR estimates consistently support our main findings, validating the robustness of the observed impacts. Furthermore, we show that, both before and after IT implementation, central banks display a stronger emphasis on responding to inflation than to the output gap, with this focus intensifying under IT regimes.”

From a paper by Sergio Julio Chión-Chacón and Kevin Antonio Álvarez García:

“This study empirically investigates the impact of Inflation Targeting (IT) on nominal interest rates over the past 40 years, focusing on 10 advanced and emerging economies. By using a Binary Regime Model embedded within a Backward-Looking Taylor, our findings confirm that IT adoption has significantly contributed to reducing interest rates, with the strongest effects observed in Latin American countries.

Read the full article…

Posted by at 8:24 AM

Labels: Inclusive Growth

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