A FORWARD LOOKING SMALL SEMI-STRUCTURAL MACROECONOMIC MODEL FOR BANGLADESH
Small semi-structural models are suitable to explicate the monetary transmission mechanism by recognizing the interrelationships among major macroeconomic variables. This study presents a small semi-structural dynamic general equilibrium (DGE) New Keynesian model for Bangladesh to explore the dynami...
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Veröffentlicht in: | The Journal of developing areas 2019-04, Vol.53 (2), p.43-61 |
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description | Small semi-structural models are suitable to explicate the monetary transmission mechanism by recognizing the interrelationships among major macroeconomic variables. This study presents a small semi-structural dynamic general equilibrium (DGE) New Keynesian model for Bangladesh to explore the dynamic interrelationships among major macroeconomic variables related to the transmission mechanism of monetary policy. Our DGE model comprises of four key behavioral equations – the aggregate demand (output), aggregate supply (inflation), interest rate and, the exchange rate. Using quarterly data over the sample period from 2006:Q3 to 2016:Q2, we have used Generalized Method of Moments estimation technique, which is useful for estimating forward-looking reaction functions on the basis of expected values for macroeconomic variables. The findings demonstrate that the model is inclusive enough to capture how the selected variables are interrelated. In most of the cases, the study finds significant and similar nature of interrelationships among the major macroeconomic variables as found by previous studies on Canada, Thailand, and South Africa. The model is also flexible enough in understanding shock propagation and conducting policy analyses. For Bangladesh, the policy transmission mechanism is found less efficient to control the monetary system (over 10 years to revert to steady state after the occurrence of shocks), while Canada, South Africa, and Thailand need 5 years, 10 years, and 10 years, respectively. This happens mainly due to the weak monetary policy which has two consequences. First, a small reaction parameter in the interest rate equation which means that the interest rate is only marginally adjusted to high inflation. Second, a small effect of monetary policy on the economy through the output and exchange rate equations. Most notably, in the exchange rate equation, the uncovered interest parity indicates a low coefficient. This might happen due to the absence of inflation targeting monetary policy in Bangladesh. A strong and quick policy response is required which could be achieved by implementing two major policy tasks: adoption of an inflation-targeting monetary policy, and full autonomy of Bangladesh Bank in both administrative and functional areas. |
doi_str_mv | 10.1353/jda.2019.0020 |
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Atiqur Rahman ; Sadique, M. Shibley</creator><creatorcontrib>Khan, Md. Atiqur Rahman ; Sadique, M. Shibley</creatorcontrib><description>Small semi-structural models are suitable to explicate the monetary transmission mechanism by recognizing the interrelationships among major macroeconomic variables. This study presents a small semi-structural dynamic general equilibrium (DGE) New Keynesian model for Bangladesh to explore the dynamic interrelationships among major macroeconomic variables related to the transmission mechanism of monetary policy. Our DGE model comprises of four key behavioral equations – the aggregate demand (output), aggregate supply (inflation), interest rate and, the exchange rate. Using quarterly data over the sample period from 2006:Q3 to 2016:Q2, we have used Generalized Method of Moments estimation technique, which is useful for estimating forward-looking reaction functions on the basis of expected values for macroeconomic variables. The findings demonstrate that the model is inclusive enough to capture how the selected variables are interrelated. In most of the cases, the study finds significant and similar nature of interrelationships among the major macroeconomic variables as found by previous studies on Canada, Thailand, and South Africa. The model is also flexible enough in understanding shock propagation and conducting policy analyses. For Bangladesh, the policy transmission mechanism is found less efficient to control the monetary system (over 10 years to revert to steady state after the occurrence of shocks), while Canada, South Africa, and Thailand need 5 years, 10 years, and 10 years, respectively. This happens mainly due to the weak monetary policy which has two consequences. First, a small reaction parameter in the interest rate equation which means that the interest rate is only marginally adjusted to high inflation. Second, a small effect of monetary policy on the economy through the output and exchange rate equations. Most notably, in the exchange rate equation, the uncovered interest parity indicates a low coefficient. This might happen due to the absence of inflation targeting monetary policy in Bangladesh. A strong and quick policy response is required which could be achieved by implementing two major policy tasks: adoption of an inflation-targeting monetary policy, and full autonomy of Bangladesh Bank in both administrative and functional areas.</description><identifier>ISSN: 0022-037X</identifier><identifier>ISSN: 1548-2278</identifier><identifier>EISSN: 1548-2278</identifier><identifier>DOI: 10.1353/jda.2019.0020</identifier><language>eng</language><publisher>Nashville: Tennessee State University College of Business</publisher><subject>Aggregate data ; Aggregate demand ; Aggregate supply ; Autonomy ; Banking ; Central banks ; Consumer Price Index ; Consumption ; Economic models ; Equilibrium ; Floating exchange rates ; Foreign exchange rates ; Generalized method of moments ; Household utilities ; Industrial production ; Inflation ; Inflation rates ; Inflation targeting ; Interest rates ; Macroeconomics ; Monetary policy ; Monetary systems ; Phillips curve ; Propagation ; Structural models ; Supply & demand ; Variables</subject><ispartof>The Journal of developing areas, 2019-04, Vol.53 (2), p.43-61</ispartof><rights>Copyright © Tennessee State University.</rights><rights>Copyright Journal of Developing Areas Spring 2019</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.jstor.org/stable/pdf/26501905$$EPDF$$P50$$Gjstor$$H</linktopdf><linktohtml>$$Uhttps://www.jstor.org/stable/26501905$$EHTML$$P50$$Gjstor$$H</linktohtml><link.rule.ids>314,780,784,803,27866,27924,27925,58017,58250</link.rule.ids></links><search><creatorcontrib>Khan, Md. Atiqur Rahman</creatorcontrib><creatorcontrib>Sadique, M. Shibley</creatorcontrib><title>A FORWARD LOOKING SMALL SEMI-STRUCTURAL MACROECONOMIC MODEL FOR BANGLADESH</title><title>The Journal of developing areas</title><description>Small semi-structural models are suitable to explicate the monetary transmission mechanism by recognizing the interrelationships among major macroeconomic variables. This study presents a small semi-structural dynamic general equilibrium (DGE) New Keynesian model for Bangladesh to explore the dynamic interrelationships among major macroeconomic variables related to the transmission mechanism of monetary policy. Our DGE model comprises of four key behavioral equations – the aggregate demand (output), aggregate supply (inflation), interest rate and, the exchange rate. Using quarterly data over the sample period from 2006:Q3 to 2016:Q2, we have used Generalized Method of Moments estimation technique, which is useful for estimating forward-looking reaction functions on the basis of expected values for macroeconomic variables. The findings demonstrate that the model is inclusive enough to capture how the selected variables are interrelated. In most of the cases, the study finds significant and similar nature of interrelationships among the major macroeconomic variables as found by previous studies on Canada, Thailand, and South Africa. The model is also flexible enough in understanding shock propagation and conducting policy analyses. For Bangladesh, the policy transmission mechanism is found less efficient to control the monetary system (over 10 years to revert to steady state after the occurrence of shocks), while Canada, South Africa, and Thailand need 5 years, 10 years, and 10 years, respectively. This happens mainly due to the weak monetary policy which has two consequences. First, a small reaction parameter in the interest rate equation which means that the interest rate is only marginally adjusted to high inflation. Second, a small effect of monetary policy on the economy through the output and exchange rate equations. Most notably, in the exchange rate equation, the uncovered interest parity indicates a low coefficient. This might happen due to the absence of inflation targeting monetary policy in Bangladesh. A strong and quick policy response is required which could be achieved by implementing two major policy tasks: adoption of an inflation-targeting monetary policy, and full autonomy of Bangladesh Bank in both administrative and functional areas.</description><subject>Aggregate data</subject><subject>Aggregate demand</subject><subject>Aggregate supply</subject><subject>Autonomy</subject><subject>Banking</subject><subject>Central banks</subject><subject>Consumer Price Index</subject><subject>Consumption</subject><subject>Economic models</subject><subject>Equilibrium</subject><subject>Floating exchange rates</subject><subject>Foreign exchange rates</subject><subject>Generalized method of moments</subject><subject>Household utilities</subject><subject>Industrial production</subject><subject>Inflation</subject><subject>Inflation rates</subject><subject>Inflation targeting</subject><subject>Interest rates</subject><subject>Macroeconomics</subject><subject>Monetary policy</subject><subject>Monetary systems</subject><subject>Phillips curve</subject><subject>Propagation</subject><subject>Structural models</subject><subject>Supply & demand</subject><subject>Variables</subject><issn>0022-037X</issn><issn>1548-2278</issn><issn>1548-2278</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><sourceid>7TQ</sourceid><sourceid>8G5</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><sourceid>GUQSH</sourceid><sourceid>M2O</sourceid><recordid>eNpFkE1Lw0AQhhdRsFaPHoWA59TZr2T3uKZpG910IWnR25JuEjBYW5P24L83oVJPwwzv-ww8CN1jmGDK6VNTFhMCWE4ACFygEeZM-ISE4hKN-hPxgYbv1-im65p-DSnDI_SivJnJ3lQ29bQxr8ly7uWp0trL4zTx81W2jlbrTGkvVVFm4sgsTZpEXmqmsR6a3rNazrWaxvniFl3VxWdX3f3NMVrP4lW08LWZJ5HSvsNBgH1JSw4lx3UlcC3Dog4oYxtebmrmeBkUgjMpAAsHoStDCDCrKlIE3Dki6pJKOkaPJ-6-3X0fq-5gm92x_epfWgKSUSEwkD7ln1Ku3XVdW9V2335si_bHYrCDLtvrsoMuO-jq8-xMbSp32B676h8cApGS23xQOhjFkgAAFX3t4VRrusOuPf8gAe_JwOkvQdJvJQ</recordid><startdate>20190401</startdate><enddate>20190401</enddate><creator>Khan, Md. 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Shibley</creator><general>Tennessee State University College of Business</general><general>Journal of Developing Areas</general><scope>AAYXX</scope><scope>CITATION</scope><scope>0U~</scope><scope>1-H</scope><scope>3V.</scope><scope>4T-</scope><scope>4U-</scope><scope>7TQ</scope><scope>7WY</scope><scope>7WZ</scope><scope>7X5</scope><scope>7XB</scope><scope>87Z</scope><scope>88F</scope><scope>8A3</scope><scope>8BJ</scope><scope>8FK</scope><scope>8FL</scope><scope>8G5</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BEZIV</scope><scope>CCPQU</scope><scope>DHY</scope><scope>DON</scope><scope>DWQXO</scope><scope>FQK</scope><scope>FRNLG</scope><scope>F~G</scope><scope>GNUQQ</scope><scope>GUQSH</scope><scope>JBE</scope><scope>K60</scope><scope>K6~</scope><scope>L.-</scope><scope>L.0</scope><scope>M0C</scope><scope>M1Q</scope><scope>M2O</scope><scope>MBDVC</scope><scope>PQBIZ</scope><scope>PQBZA</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>Q9U</scope></search><sort><creationdate>20190401</creationdate><title>A FORWARD LOOKING SMALL SEMI-STRUCTURAL MACROECONOMIC MODEL FOR BANGLADESH</title><author>Khan, Md. 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Atiqur Rahman</au><au>Sadique, M. Shibley</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A FORWARD LOOKING SMALL SEMI-STRUCTURAL MACROECONOMIC MODEL FOR BANGLADESH</atitle><jtitle>The Journal of developing areas</jtitle><date>2019-04-01</date><risdate>2019</risdate><volume>53</volume><issue>2</issue><spage>43</spage><epage>61</epage><pages>43-61</pages><issn>0022-037X</issn><issn>1548-2278</issn><eissn>1548-2278</eissn><abstract>Small semi-structural models are suitable to explicate the monetary transmission mechanism by recognizing the interrelationships among major macroeconomic variables. This study presents a small semi-structural dynamic general equilibrium (DGE) New Keynesian model for Bangladesh to explore the dynamic interrelationships among major macroeconomic variables related to the transmission mechanism of monetary policy. Our DGE model comprises of four key behavioral equations – the aggregate demand (output), aggregate supply (inflation), interest rate and, the exchange rate. Using quarterly data over the sample period from 2006:Q3 to 2016:Q2, we have used Generalized Method of Moments estimation technique, which is useful for estimating forward-looking reaction functions on the basis of expected values for macroeconomic variables. The findings demonstrate that the model is inclusive enough to capture how the selected variables are interrelated. In most of the cases, the study finds significant and similar nature of interrelationships among the major macroeconomic variables as found by previous studies on Canada, Thailand, and South Africa. The model is also flexible enough in understanding shock propagation and conducting policy analyses. For Bangladesh, the policy transmission mechanism is found less efficient to control the monetary system (over 10 years to revert to steady state after the occurrence of shocks), while Canada, South Africa, and Thailand need 5 years, 10 years, and 10 years, respectively. This happens mainly due to the weak monetary policy which has two consequences. First, a small reaction parameter in the interest rate equation which means that the interest rate is only marginally adjusted to high inflation. Second, a small effect of monetary policy on the economy through the output and exchange rate equations. Most notably, in the exchange rate equation, the uncovered interest parity indicates a low coefficient. This might happen due to the absence of inflation targeting monetary policy in Bangladesh. A strong and quick policy response is required which could be achieved by implementing two major policy tasks: adoption of an inflation-targeting monetary policy, and full autonomy of Bangladesh Bank in both administrative and functional areas.</abstract><cop>Nashville</cop><pub>Tennessee State University College of Business</pub><doi>10.1353/jda.2019.0020</doi><tpages>19</tpages></addata></record> |
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subjects | Aggregate data Aggregate demand Aggregate supply Autonomy Banking Central banks Consumer Price Index Consumption Economic models Equilibrium Floating exchange rates Foreign exchange rates Generalized method of moments Household utilities Industrial production Inflation Inflation rates Inflation targeting Interest rates Macroeconomics Monetary policy Monetary systems Phillips curve Propagation Structural models Supply & demand Variables |
title | A FORWARD LOOKING SMALL SEMI-STRUCTURAL MACROECONOMIC MODEL FOR BANGLADESH |
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