Consumer Loan Response to Permanent Labor Income Shocks: Evidence from a Major Minimum Wage Increase

We investigate the impact of a substantial minimum wage increase, which became effective in January 2016, on consumer loans in Turkey. Using bank-level data and designing an original identification strategy, we ask whether the loans provided by banks with a historically high share of low-wage loan customers have increased relative to those provided by banks with a historically low share of low-wage loan customers after January 2016. Our results suggest that consumer loan flows have displayed a limited but statistically and economically meaningful increase following the minimum wage hike. This increase mostly comes from the increase in long-term general-purpose loans. Vehicle loans have also increased, while there is no change in housing loans. In the overall, the minimum wage hike has generated a moderate and transitory increase in the flow of consumer loans extended to low-wage earners in Turkey perhaps due to delayed consumption effect. Consumption of durables, which can further increase household borrowing capacity through collateralized debt channel, has only slightly and temporarily increased. The underlying long-term trends in the stock of consumer loans have hardly changed

Consumer Loan Response to Permanent Labor Income Shocks: Evidence from a Major Minimum Wage Increase

We investigate the impact of a substantial minimum wage increase, which became effective in January 2016, on consumer loans in Turkey. Using bank-level data and designing an original identification strategy, we ask whether the loans provided by banks with a historically high share of low-wage loan customers have increased relative to those provided by banks with a historically low share of low-wage loan customers after January 2016. Our results suggest that consumer loan flows have displayed a limited but statistically and economically meaningful increase following the minimum wage hike. This increase mostly comes from the increase in long-term general-purpose loans. Vehicle loans have also increased, while there is no change in housing loans. In the overall, the minimum wage hike has generated a moderate and transitory increase in the flow of consumer loans extended to low-wage earners in Turkey|perhaps due to delayed consumption effect. Consumption of durables, which can further increase household borrowing capacity through collateralized debt channel, has only slightly and temporarily increased. The underlying long-term trends in the stock of consumer loans have hardly changed

Do local and global factors impact the emerging markets' sovereign yield curves? Evidence from a data-rich environment

This paper investigates the relation between yield curve and macroeconomic factors for ten emerging sovereign bond markets using the sample from January 2006 to April 2019. To this end, the diffusion indices obtained under four categories (global variables, inflation, domestic financial variables, and economic activity) are incorporated by estimating dynamic panel data regressions together with the yield curve factors. Besides, in order to capture dynamic interaction between yield curve and macroeconomic/financial factors, a panel VAR analysis based on the system GMM approach is utilized. Empirical results suggest that the level factor responds to shocks originated from inflation, domestic financial variables and global variables. Furthermore, the slope factor is affected by shocks in global variables, and the curvature factor appears to be influenced by domestic financial variables. We also show that macroeconomic/financial factors captures significant predictive information over yield curve factors by running individual country factor-augmented predictive regressions and variable selection algorithms such ridge regression, LASSO and Elastic Net. Our findings have important implications for policymakers and fund managers by explaining the underlying forces of movements in the yield curve and forecasting accurately dynamics of yield curve factors.PostprintPeer reviewe

Do local and global factors impact the emerging markets' sovereign yield curves? Evidence from a data-rich environment

This paper investigates the relation between yield curve and macroeconomic factors for ten emerging sovereign bond markets using the sample from January 2006 to April 2019. To this end, the diffusion indices obtained under four categories (global variables, inflation, domestic financial variables, and economic activity) are incorporated by estimating dynamic panel data regressions together with the yield curve factors. Besides, in order to capture dynamic interaction between yield curve and macroeconomic/financial factors, a panel VAR analysis based on the system GMM approach is utilized. Empirical results suggest that the level factor responds to shocks originated from inflation, domestic financial variables and global variables. Furthermore, the slope factor is affected by shocks in global variables, and the curvature factor appears to be influenced by domestic financial variables. We also show that macroeconomic/financial factors captures significant predictive information over yield curve factors by running individual country factor-augmented predictive regressions and variable selection algorithms such ridge regression, LASSO and Elastic Net. Our findings have important implications for policymakers and fund managers by explaining the underlying forces of movements in the yield curve and forecasting accurately dynamics of yield curve factors

Do local and global factors impact the emerging markets' sovereign yield curves? Evidence from a data-rich environment

This paper investigates the relation between yield curve and macroeconomic factors for ten emerging sovereign bond markets using the sample from January 2006 to April 2019. To this end, the diffusion indices obtained under four categories (global variables, inflation, domestic financial variables, and economic activity) are incorporated by estimating dynamic panel data regressions together with the yield curve factors. Besides, in order to capture dynamic interaction between yield curve and macroeconomic/financial factors, a panel VAR analysis based on the system GMM approach is utilized. Empirical results suggest that the level factor responds to shocks originated from inflation, domestic financial variables and global variables. Furthermore, the slope factor is affected by shocks in global variables, and the curvature factor appears to be influenced by domestic financial variables. We also show that macroeconomic/financial factors captures significant predictive information over yield curve factors by running individual country factor-augmented predictive regressions and variable selection algorithms such ridge regression, LASSO and Elastic Net. Our findings have important implications for policymakers and fund managers by explaining the underlying forces of movements in the yield curve and forecasting accurately dynamics of yield curve factors