Agricultural taxation in developing countries: a survey of issues and policy

This study surveys the experience of agricultural taxation in developing countries in the context of the ongoing policy debate about the tax structure and administration affecting agricultural producers. Using the examples of a number of countries, it analyzes the conceptual and practical problems associated with different tax regimes. Governments in most countries have reduced indirect (export) taxes on agricultural producers. However, the revenue from direct taxes on farmers has not increased. A major problem in most countries has been the measurement of (actual) agricultural income. Different measures for presumed income have been used with varying success. They seem to have the most potential for increased revenue in many countries, but their effective implementation is constrained by the political and administrative considerations.     

Gender Effect in Explaining Mobility Patterns in the Labor Market: A Case Study of Turkey

This paper examines the importance of gender for different job mobility patterns using an extensive household survey data from İzmir, the third largest city in Turkey. The determinants of job‐to‐job and job‐to‐nonemployment transitions are analyzed with the help of a multinomial logit estimation method. The results indicate that there is a distinction regarding the probability of job mobility patterns based on gender. It is more likely for women to be engaged in job‐to‐nonemployment transition, whereas men tend to change jobs more often. Although gender plays a significant role in job mobility patterns, traditionally imposed social constraints associated with childcare and household duties provide us with mixed results considering the behavior of women in the job market. On the other hand, having highly paid and secure jobs decreases the probability of both patterns of job mobility.     

Latin America after the global crisis: the role of export-led and tradable-led growth regimes

Is the ongoing economic slowdown in industrialized countries likely to impact Latin American growth negatively in the medium- to long-run? This paper considers various transmission channels that work through trade in goods and services, and finds econometric evidence suggesting that shrinking global imbalances may create problems for Latin America. Specifically, using panel data analysis, we find that the trade balance as a proportion of GDP is positively associated with Latin American economic growth over the period 1953–2009. We then develop a simple dynamic model to help explain our main finding through investment and saving behaviour.     

Housing prices and transaction volume

We use annual, quarterly and monthly data from the US to show that the correlation between housing prices and transaction volume (number of existing houses sold) differs across different frequencies. While the correlation is high at the low frequencies it declines to the levels close to zero at high frequencies. Granger causality tests for different frequencies show that the way of causality in housing market changes from region to region. Our findings provide a litmus test for the existing theories that are proposed to explain the positive correlation between transaction volume and housing prices.     

Oil Price Shocks and Volatility in Australian Stock Returns

This paper examines the effect of oil shocks on return and volatility in the sectors of Australian stock market and finds significant effects for most sectors. For the overall market index, an increase in oil price return significantly reduces return, and an increase in oil price return volatility significantly reduces volatility. An advantage of looking at sector returns rather than a general index of stock returns is that sectors may well differ markedly in how they respond to oil price shocks. The energy and material sectors (as expected) and the financial sector (surprisingly) are out of step (in different ways) with results for the other sectors and for the overall index. A rise in oil price increases returns in the energy and material sectors and an increase in oil price return volatility increases stock return volatility in the financial sector. Explanation for the negative (positive) association between oil return (oil return volatility) and returns (volatility of returns) in the financial sector must be based on the association via lending to and/or holdings of corporate bonds issued by firms with significant exposure to oil price fluctuations and their speculative positions in oil‐related instruments.     

Shadow vs. market prices in explaining land allocation: Subsistence maize cultivation in rural Mexico

Prices may fail to explain farmers’ land allocation if the relevant decision prices are “shadow prices” that deviate from market prices. This may be the case for farmers who attach significant non-market values to their crops. I theoretically explain why land allocation may not respond to market signals even if transaction costs are not binding. I use nationally representative rural household data from Mexico to show that shadow prices better explain the land subsistence farmers allocate to traditional maize in this center of maize diversity. I discuss the importance of non-market values in understanding supply response and on-farm conservation of traditional crops.     

The Phillips curve under state-dependent pricing

We derive a Phillips curve equation from the dynamic stochastic general equilibrium (DSGE) model with state-dependent pricing developed by Dotsey et al. [1999. State-dependent pricing and the general equilibrium dynamics of money and output. Quarterly Journal of Economics 114, 655-690]. This state-dependent Phillips curve encompasses the new Keynesian Phillips curve (NKPC) based on Calvo-type price setting as a special case. We analyze the effect of the state-dependent terms (that is, the variations in the distributions of price vintages) on inflation persistence, and we examine whether the hybrid NKPC (that is, the NKPC extended by a lagged inflation term) can adequately describe inflation dynamics generated in a calibrated state-dependent pricing economy.     

Algorithms to compute CM- and S-estimates for regression

Constrained M-estimators for regression were introduced by Mendes and Tyler in 1995 as an alternative class of robust regression estimators with high breakdown point and high asymptotic efficiency. To compute the CM-estimate, the global minimum of an objective function with an inequality constraint has to be localized. To find the S-estimate for the same problem, we instead restrict ourselves to the boundary of the feasible region. The algorithm presented for computing CM-estimates can easily be modified to compute S-estimates as well. Testing is carried out with a comparison to the algorithm SURREAL by Ruppert.     

Returns to Retail Banking and Payments

The present paper examines the fundamental relationship between the country-level infrastructure of the retail payment market and overall bank performance. Using data from across 27 European markets over the period 2000–07, the results confirm that the performance of banks in countries with more developed retail payment service markets is better. This relationship is stronger in countries with a relatively high adoption of retail payment transaction technologies. Retail payment transaction technology itself can also improve bank performance, and evidence shows that heterogeneity in retail payment instruments is associated with enhanced bank performance. Similarly, higher usage of electronic retail payment instruments seems to stimulate banking business. We also show that retail payment services have a more significant impact on savings and cooperative bank performance, although they have a positive influence on the performance of commercial banks as well. Additionally, the findings reveal that the impact of retail services on bank performance is more pronounced through fee income, although their impact through interest income is also positive. Finally, an effective payment service market is found to be associated with higher bank stability. Our findings are robust to different regression specifications.     

Geographic Concentration in Indian Manufacturing and Service Industries: Evidence from 1998 to 2013

This paper uses a comprehensive new data source to document basic facts about geographic concentration among industries in India from 1998 to 2013. Unlike previous studies, our data allow us to accurately measure industrial concentration at the district level and cover manufacturing and services, as well as the formal and informal sectors. Our most striking finding is that average levels of industrial concentration fell dramatically between 1998 and 2013, driven by steep reductions in capital‐intensive manufacturing industries. We provide suggestive evidence that this increasing dispersion may be due to improvements in interregional transportation coupled with inefficient land management policies and limited labor mobility.