OPTIMAL MONETARY POLICY WITH THE STICKY INFORMATION MODEL OF PRICE ADJUSTMENT: INFLATION OR PRICE‐LEVEL TARGETING?

I investigate the optimal monetary policy in a New Keynesian macroeconomic framework with the sticky information model of price adjustment. The model is solved for optimal policy, and welfare implications of three alternative monetary policy regimes under this optimal policy are compared when there is a cost‐push shock to the economy. These monetary policy regimes are the unconstrained policy, price‐level targeting and inflation targeting regimes. The results illustrate that optimal policy depends on the degree of price stickiness and the persistence of the shock. Inflation targeting emerges as the optimal policy if prices are flexible enough or the shock is persistent enough. However, the unconstrained policy or price‐level targeting might be preferable to inflation targeting if prices are not very flexible and the shock is not very persistent. The results also show that as prices become more flexible, the welfare loss usually gets bigger.     

Must improved labor standards hurt accumulation in the targeted sector? Stylized analysis of a developing economy

This paper analyzes a stylized small open economy that consists of two tradable output-producing sectors: a manufacturing sector and a (mainly tourism-related) services sector. Assuming sectoral differences based on stylized facts, we explore the impact of higher labor standards in the manufacturing sector on the long-term prospects of the economy using comparative dynamic exercises to analyze changes in relative prices, foreign capital flows, and the sectoral distribution of investment and output. We find, in particular, that imposing higher standards across the manufacturing sector could, under certain conditions, shift the structure of the domestic economy in favor of that sector. This result is driven by changes in relative profitability in the presence of learning-by-exporting.     

WAGE INEQUALITY IN TURKEY: DECOMPOSITION BY STATISTICAL REGIONS, 1980–2001

This paper analyzes wage inequality in the Turkish manufacturing sector annually from 1980 to 2001, and also provides some evidence for inequality in the post‐2001 period. Using the between‐groups component of Theil's T statistic, the paper provides more information on wage inequality. It decomposes the evolution of inequality by statistical regions – The Nomenclature of Territorial Units for Statistics – (i.e. NUTS‐1 and NUTS‐2). The decompositions show that inequality has increased since the late 1980s in the private sector both between regions of NUTS‐1 and NUTS‐2.     

Determinants of reverse marketing knowledge transfer potential from emerging market subsidiaries to multinational enterprises’ headquarters

Emerging markets (EM) are becoming increasingly important for multinational enterprises because of their high growth potential and future prospects. The unique circumstances in EM lead to increased pressure to offer creative marketing solutions that can be leveraged across the multinational network. Setting up subsidiaries to tap into these markets offers companies the opportunity to integrate in the local community and access its knowledge-base for local and global innovations. Literature, however, reveals that EM subsidiaries have been largely ignored concerning their potential for reverse knowledge transfer (RKT), and marketing initiatives are expected to be developed in mature, developed markets. Our paper fills this gap in research and contributes to extant literature by identifying factors at unit, relationship and knowledge levels influencing RKT potential specific to marketing knowledge from EM subsidiaries. The conceptual discussion leads to study propositions and conceptual framework.     

Do Muslims Believe More in Protestant Work Ethic than Christians? Comparison of People with Different Religious Background Living in the US

This study examines the work ethic characteristics of Protestant, Catholic, and Muslim people who are living in the US. People originally from Turkey were targeted under the Muslim group. Since a significant number of people selected “none” as their religious affiliation in the survey, this group has also been included in the final analysis. Eight hundred and three people (313 Protestants, 180 “none”, 96 Muslims, 86 Catholics, and 128 other) participated in this questionnaire study. The analyses revealed that Muslim Turks reported greater scores on four of the five Protestant work ethic (PWE) characteristics. Protestants scored higher than Catholics on all characteristics, but there was no significant difference.     

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.     

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.